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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">IJAR</journal-id>
      <journal-title-group>
        <journal-title>Indonesian Journal of Advanced Research</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2986-0768</issn>
      <publisher>
        <publisher-name>Formosa Publisher</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.55927/ijar.v4i7.15085</article-id>
      <title-group>
        <article-title>The Effect of Marketing Mix on Repurchase Intention with Customer Satisfaction as a Moderation Variable (Study on Braud Bali Cafe)</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Manyasa</surname>
            <given-names>Komang Merta Mulia</given-names>
          </name>
          <aff>Universitas Udayana, Denpasar</aff>
          <email>mertamuliamanyasa@gmail.com</email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Wardana</surname>
            <given-names>I Made</given-names>
          </name>
          <aff>Universitas Udayana, Denpasar</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Suprapti</surname>
            <given-names>Ni Wayan Sri</given-names>
          </name>
          <aff>Universitas Udayana, Denpasar</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Triaryati</surname>
            <given-names>Nyoman</given-names>
          </name>
          <aff>Universitas Udayana, Denpasar</aff>
        </contrib>
      </contrib-group>
      <pub-date pub-type="epub">
        <day>29</day>
        <month>07</month>
        <year>2025</year>
      </pub-date>
      <history>
        <date date-type="received">
          <day>13</day>
          <month>05</month>
          <year>2025</year>
        </date>
        <date date-type="rev-recd">
          <day>27</day>
          <month>06</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>29</day>
          <month>07</month>
          <year>2025</year>
        </date>
      </history>
      <volume>4</volume>
      <issue>7</issue>
      <fpage>1617</fpage>
      <lpage>1632</lpage>
      <abstract>
        <p>This study aims to examine the influence of price perception, product quality, service quality, place, and promotion on repurchase intention, with customer satisfaction as a moderating variable, in a case study of customers at Braud Café Bali. A quantitative approach using survey methods with moderation tests was employed for data analysis. The results indicate that price perception, product quality, service quality, and place have a positive and significant effect on repurchase intention. In contrast, promotion shows no significant effect. Furthermore, customer satisfaction does not moderate the relationship between the independent variables (price perception, product quality, service quality, place, and promotion) and repurchase intention. These findings suggest that aspects of quality and accessibility play a more critical role in driving repurchase decisions than promotional efforts or customer satisfaction as a moderating factor.</p>
      </abstract>
      <kwd-group>
        <kwd>Price Perception</kwd>
        <kwd>Product Quality</kwd>
        <kwd>Service Quality</kwd>
        <kwd>Repurchase Intention</kwd>
        <kwd>Customer Satisfaction</kwd>
      </kwd-group>
      <permissions>
        <license>
          <ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">http://creativecommons.org/licenses/by/4.0/</ali:license_ref>
          <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License.</license-p>
        </license>
      </permissions>
    </article-meta>
  </front>

  <body>

<sec>
  <title>INTRODUCTION</title>
  <p>Bali as one of the popular tourism destinations has many businesses
  engaged in various fields of the tourism industry, such as tourist
  attractions, hotels, travel agents, restaurants, and others. BPS
  2021-2023 data in table 1.1 shows that the number of restaurant and
  restaurant units in Bali continues to increase. Competition in the
  tourism industry, especially in the restaurant and restaurant sectors,
  has become very competitive. This happens because there are more and
  more restaurant businesses that are developing in Bali to meet the
  needs of tourists. Almost every regency/city in Bali has experienced
  an increase in the quantity of restaurants/cafes which indicates the
  increasing competition between restaurants.</p>
  <disp-quote>
    <p>Table 1. Restaurant Distribution Detailed by Regency/City in Bali (Unit) in 2021, 2022 and 2023.</p>
  </disp-quote>
  <table-wrap>
      <label>Table 1. Restaurant Distribution Detailed by Regency/City in Bali (Unit) in 2021, 2022 and 2023.</label>
      <caption>
          <title>Source: BPS Bali Province, 2023</title>
      </caption>
      <table>
          <thead>
              <tr>
                  <th align="center" valign="top" rowspan="2">No.</th>
                  <th align="center" valign="top" rowspan="2">Kabupaten/Kota</th>
                  <th align="center" valign="top" colspan="3"></th>
              </tr>
              <tr>
                  <th align="center" valign="top">2021</th>
                  <th align="center" valign="top">2022</th>
                  <th align="center" valign="top">2023</th>
              </tr>
          </thead>
          <tbody>
              <tr>
                  <td align="center" valign="top">1</td>
                  <td align="left" valign="top">Jembrana Regency</td>
                  <td align="center" valign="top">158</td>
                  <td align="center" valign="top">136</td>
                  <td align="center" valign="top">317</td>
              </tr>
              <tr>
                  <td align="center" valign="top">2</td>
                  <td align="left" valign="top">Kab. Tabanan</td>
                  <td align="center" valign="top">119</td>
                  <td align="center" valign="top">92</td>
                  <td align="center" valign="top">102</td>
              </tr>
              <tr>
                  <td align="center" valign="top">3</td>
                  <td align="left" valign="top">Badung Regency</td>
                  <td align="center" valign="top">728</td>
                  <td align="center" valign="top">823</td>
                  <td align="center" valign="top">869</td>
              </tr>
              <tr>
                  <td align="center" valign="top">4</td>
                  <td align="left" valign="top">Gianyar Regency</td>
                  <td align="center" valign="top">1053</td>
                  <td align="center" valign="top">952</td>
                  <td align="center" valign="top">1223</td>
              </tr>
              <tr>
                  <td align="center" valign="top">5</td>
                  <td align="left" valign="top">Kab. Klungkung</td>
                  <td align="center" valign="top">375</td>
                  <td align="center" valign="top">245</td>
                  <td align="center" valign="top">423</td>
              </tr>
              <tr>
                  <td align="center" valign="top">6</td>
                  <td align="left" valign="top">Bangli Regency</td>
                  <td align="center" valign="top">14</td>
                  <td align="center" valign="top">47</td>
                  <td align="center" valign="top">67</td>
              </tr>
              <tr>
                  <td align="center" valign="top">7</td>
                  <td align="left" valign="top">Karangasem Regency</td>
                  <td align="center" valign="top">269</td>
                  <td align="center" valign="top">146</td>
                  <td align="center" valign="top">43</td>
              </tr>
              <tr>
                  <td align="center" valign="top">8</td>
                  <td align="left" valign="top">Buleleng Regency</td>
                  <td align="center" valign="top">548</td>
                  <td align="center" valign="top">200</td>
                  <td align="center" valign="top">535</td>
              </tr>
              <tr>
                  <td align="center" valign="top">9</td>
                  <td align="left" valign="top">Denpasar City</td>
                  <td align="center" valign="top">604</td>
                  <td align="center" valign="top">604</td>
                  <td align="center" valign="top">952</td>
              </tr>
              <tr>
                  <td align="left" valign="top" colspan="2">Bali Province</td>
                  <td align="center" valign="top">3868</td>
                  <td align="center" valign="top">3245</td>
                  <td align="center" valign="top">4429</td>
              </tr>
          </tbody>
      </table>
  </table-wrap>
  <p>Table 1.1 shows the distribution of restaurants and restaurants in
  various districts/cities in Bali in 2021, 2022, 2023. It can be seen
  that Gianyar Regency is the most then Denpasar City and Badung Regency
  in the third position. Although Gianyar Regency has a higher number of
  restaurants and restaurants overall, Badung Regency remains a major
  tourism hub in Bali. Badung Regency accounted for 40% of the total
  tourist visits to Bali in 2022. In addition, Badung Regency also has a
  large population, which is around 646,000 people in 2022 (BPS, 2023),
  with a 20% higher rate of food and beverage consumption than the
  average of Bali Province. Therefore, research in Badung Regency can
  provide a relevant picture of the trends and opportunities of the
  culinary market in Bali, as well as complement the analysis of the
  culinary industry in Bali as a whole.</p>
  <p>Braud Cafe, which is located in Badung regency, is not spared from
  this challenge. As one of the long-standing players in the area, Kafe
  Braud has had to struggle to maintain its market share amid the
  emergence of new cafes that offer different concepts, menus and
  experiences. Every month, Café Braud has to face fluctuations in
  sales, where sometimes they can reach the target, but other times
  suffer a fairly significant decline. One of the factors that
  contribute to this</p>
  <p>condition is market saturation. With the number of cafes in
  Kerobokan, consumers now have many choices and tend to move around in
  search of new experiences. In addition, changing consumer trends and
  preferences are also a challenge for Kafe Braud to remain relevant and
  attractive.</p>
  <disp-quote>
    <graphic mimetype="image" mime-subtype="jpeg" xlink:href="vertopal_03168acf38134317a0b6480bb367513f/media/image3.jpeg" />
    <p><italic>Source: Braud Cafe, 2024</italic></p>
  </disp-quote>
  <sec id="figure-1.-braud-cafe-sales-chart-for-2023-2024">
    <title>Figure 1. Braud Cafe Sales Chart for 2023-2024</title>
    <p>Graph 1.1 shows Kafe Braud's sales data for the period from
    January 2023 to March 2024. In general, sales fluctuate
    significantly during this period. At the beginning of 2023, sales
    were at a fairly stable level. Sales continued to increase until
    they peaked in May and June 2023, before starting to experience a
    slight decline that continued into September 2023.</p>
    <p>Factors such as product quality, service quality, price
    perception, promotion, and location have been shown to affect
    customer satisfaction and repurchase intent in various studies.
    However, a deeper understanding of how customer satisfaction can
    moderate these relationships in the local café industry still needs
    to be further researched to provide more specific and applicable
    insights for businesses in this sector.</p>
    <p>Several other studies have also highlighted the importance of
    customer satisfaction as a variable that mediates the relationship
    between the marketing mix and repurchase intent. Research by Dhita,
    Sylvia, Mukson, and Agus Setiadi (2022) found that elements of the
    marketing mix, such as product quality and price perception, have a
    significant effect on consumer satisfaction and loyalty of the
    quality of espresso coffee processed products in Semarang City.</p>
  </sec>
</sec>





<sec>
  <title>THEORETICAL REVIEW</title>
  <sec id="stimulus-organism-response-s-o-r">
    <title>Stimulus-Organism-Response (S-O-R)</title>
    <p>The Stimulus-Organism-Response (S-O-R) theory was first developed
    in the field of behavioral psychology by Robert S. Woodworth in
    1929. Woodworth introduced this model as an extension of the classic
    Stimulus-Response (S-R) theory previously introduced by behaviorists
    such as John B. Watson and Ivan Pavlov. In the S-R model, a person's
    response is considered to be a direct result of an external stimulus
    without considering the individual's internal factors.</p>
    <p>In the context of marketing and consumer behavior, S-O-R theory
    is often used to explain how external elements such as the retail
    environment, product design, or promotion (S) can affect the
    emotions and perceptions of individuals (O), which ultimately
    determine purchasing decisions or other behaviors (R). This model is
    also often used in digital marketing studies and customer
    experiences to understand how interactions between brands and
    consumers can shape their decisions.</p>
    <p>Stimulus (S): Refers to external stimuli that affect an
    individual, such as the physical environment of a store,
    advertising, or product reviews. For example, in a study by Yaqub et
    al. (2023), marketing through social media influencers and
    electronic word of mouth (eWOM) was considered a Stimulus that
    influences brand awareness and consumer purchasing decisions.</p>
    <p>Organism (O): Refers to the internal processes of an individual,
    including emotions, perceptions, and other psychological conditions
    mediated by the Stimulus. For example, in the same study, brand
    awareness served as an organism that mediated the relationship
    between Stimulus (influencer marketing and eWOM) and response
    (purchase decision).</p>
    <p>Response (R): It is an outcome or action taken by an individual
    in response to the stimulus and internal processes. In the context
    of research by Yaqub et al. (2023), this response is manifested in
    the form of consumer purchasing decisions after exposure to
    influencer marketing and eWOM, which is mediated by brand
    awareness.</p>
    <p>By understanding each component in the S-O-R model, marketers can
    design more effective strategies to influence consumer behavior,
    taking into account how external stimuli affect internal processes
    and ultimately determine consumer responses.</p>
  </sec>
  <sec id="p-marketing-mix">
    <title>4P Marketing Mix</title>
    <p>The concept of the 4P marketing mix was first introduced by
    Jerome McCarthy in 1960 in his book Basic Marketing: A Managerial
    Approach. McCarthy is an economist and marketing expert from the
    United States who developed this concept to help companies design
    more systematic and effective marketing strategies.</p>
    <p>The 4P concept includes Product , Price , Place , and Promotion
    as the four main elements in a marketing strategy. This model was
    later popularized and expanded by Philip Kotler, a leading marketing
    expert, through his various books, including Marketing Management.
    Kotler developed this theory by providing deeper insights into how
    companies can optimize each element of the 4Ps to achieve marketing
    success.</p>
    <p>Along with the times, the 4P model has undergone various
    adaptations and developments. One of them is the 7P model, which was
    introduced in the context of service marketing, by adding People ,
    Process , and Physical Evidence as additional elements to reflect
    more complex aspects of the service.</p>
  </sec>
  <sec id="product-quality">
    <title>Product quality</title>
    <p>Product quality is also something that can be offered to the
    market so that it can be searched for, requested, bought, used and
    consumed by consumers. Product quality is a need or request for
    service, classified as physical evidence, real estate, collections,
    people, events, thoughts, knowledge, expertise, from promotions
    provided by the company.</p>
    <p>Indicators include Oth et al. (2009) in Wijaya (2017):</p>
    <list list-type="order">
      <list-item>
        <p>Freshness</p>
      </list-item>
    </list>
    <p>Food freshness is usually interpreted as the statement that food
    remains fresh, which can be associated with the texture, taste, and
    aroma of the food.</p>
    <list list-type="order">
      <list-item>
        <label>2.</label>
        <p>Presentation</p>
      </list-item>
    </list>
    <p>Food serving is a way to present food to consumers so that it can
    be enjoyed as a whole. This presentation involves the appropriate
    arrangement of the composition and the interesting play of colors,
    so as to increase the appetite of customers.</p>
    <list list-type="order">
      <list-item>
        <label>3.</label>
        <p>Well Cooked</p>
      </list-item>
    </list>
    <p>The food that will be served or served to consumers must be
    cooked properly and processed hygienically. This aims to make food
    safe to consume and provide a pleasant dining experience.</p>
    <list list-type="order">
      <list-item>
        <label>4.</label>
        <p>Variety of Food</p>
      </list-item>
    </list>
    <p>The diversity of food in the restaurant reflects the wide variety
    of menus offered. A wide range of food options allows consumers to
    choose according to their tastes and preferences, thereby increasing
    customer satisfaction.</p>
  </sec>
  <sec id="quality-of-service">
    <title>Quality of Service</title>
    <p>According to Kotler and Keller (2016, p. 284), there are five
    main indicators in assessing service quality, namely:</p>
    <list list-type="order">
      <list-item>
        <p>Reliability</p>
      </list-item>
    </list>
    <p>Reliability reflects a company's ability to deliver services that
    are in line with promises, trustworthy, accurate, and
    consistent.</p>
    <list list-type="order">
      <list-item>
        <label>2.</label>
        <p>Responsiveness</p>
      </list-item>
    </list>
    <p>Responsiveness refers to the company's ability to provide
    services quickly and effectively listen to and address customer
    complaints.</p>
    <list list-type="order">
      <list-item>
        <label>3.</label>
        <p><italic>Assurance</italic></p>
      </list-item>
    </list>
    <p>Assurance relates to the level of competence, politeness, and
    credibility of employees in providing services, which builds
    customer trust in the company.</p>
    <list list-type="order">
      <list-item>
        <label>4.</label>
        <p>Empathy</p>
      </list-item>
    </list>
    <p>Empathy reflects the service provider's sincere and personal
    concern for the customer, including an understanding of their needs
    and wants.</p>
    <list list-type="order">
      <list-item>
        <label>5.</label>
        <p>Tangibles</p>
      </list-item>
    </list>
    <p>The tangible aspect includes the physical appearance of
    facilities, equipment, and equipment used in providing services to
    customers.</p>
  </sec>
  <sec id="price-perception">
    <title>Price Perception</title>
    <p>Price perception is how much the tariff to be given to customers
    for goods or services, the whole number has been exchanged by the
    customer from the quality of the product or service itself.</p>
    <p>The indicators of price perception from the consumer's
    perspective are as follows (Kotler and Amstrong, 2016):</p>
    <list list-type="order">
      <list-item>
        <p>Price affordability, before buying consumers will look for
        affordable products, affordable prices are the prices that
        consumers expect.</p>
      </list-item>
      <list-item>
        <p>The suitability of price and product quality, is the quality
        of the product provided according to or not with the price
        offered, consumers do not mind whether to buy at a relatively
        expensive price, as long as the quality of the product is good,
        but consumers prefer products with low prices and good
        quality.</p>
      </list-item>
      <list-item>
        <p>Matching the price with the benefits, consumers will compare
        the benefits provided by the product whether it is in accordance
        with the price spent to get the product is proportional to the
        profits obtained, then the consumer will make a purchase
        decision.</p>
      </list-item>
      <list-item>
        <p>Price according to affordability or price competitiveness,
        before deciding to buy, consumers will compare the prices of
        each available product selection and consumers will choose and
        then consider at the time of buying the product whether the
        price given is lower or even more expensive than the price given
        by competitors.</p>
      </list-item>
    </list>
  </sec>
  <sec id="promotion">
    <title>Promotion</title>
    <p>Promotion is an effort to inform or offer the quality of products
    or services with the aim of attracting potential consumers to buy or
    consume them. With the promotion of producers or distributors, they
    expect an increase in sales figures (Barcelona et al., 2019).</p>
    <p>The indicator according to (Buchari Alma 2016,179) says that:</p>
    <list list-type="alpha-lower">
      <list-item>
        <p>Advertising</p>
      </list-item>
    </list>
    <p>Advertising is all forms of non-personal presentation in the form
    of promotion of ideas, promotions of goods or services that require
    certain costs carried out by clear sponsors.</p>
    <list list-type="alpha-lower">
      <list-item>
        <label>b.</label>
        <p>Personal sales</p>
      </list-item>
    </list>
    <p>Selling Individual sales are a form of verbal achievement with
    one or more potential buyers with the aim of making a sale, in the
    presentation there is direct interaction between the seller and the
    prospective buyer.</p>
    <list list-type="alpha-lower">
      <list-item>
        <label>c.</label>
        <p>Sales Promotion</p>
      </list-item>
    </list>
    <p>Sales promotion is a short-term incentive program to encourage
    the desire to try or buy a product, service, or goods faster or
    larger by customers.</p>
    <list list-type="alpha-lower">
      <list-item>
        <label>d.</label>
        <p>Direct marketing</p>
      </list-item>
    </list>
    <p>Direct marketing is an interactive marketing system that uses one
    or more advertising mediums to generate a wide variety of measurable
    responses and transactions on a location.</p>
  </sec>
  <sec id="location">
    <title>Location</title>
    <p>Then, according to Tjiptono, the location is the physical
    structure of the store as the main component that can be seen
    physically to the impression of the store that is carried out in
    placing takes and activities in providing service channels needed by
    consumers (Tanjung, 2021).</p>
    <p>According to Senggetang et al (2019:882) the location indicators
    are as follows:</p>
    <list list-type="order">
      <list-item>
        <p>Access, location that is easy to walk or easy to reach by
        public transportation.</p>
      </list-item>
      <list-item>
        <p>Visibility, location can be clearly seen from the curb or
        normal visibility.</p>
      </list-item>
      <list-item>
        <p>A spacious, safe and comfortable parking lot that is good for
        two-wheeled vehicles and also for four-wheeled vehicles.</p>
      </list-item>
    </list>
  </sec>
  <sec id="repurchase-intent">
    <title>Repurchase Intent</title>
    <p>Repurchase intention is the next stage of evaluation of the
    quality of the product or service that has been used by consumers
    that can influence the purchase decision. There are two factors,
    namely the attitude of others and Unexpected situational
    factors.</p>
    <list list-type="order">
      <list-item>
        <p>Attitude of others</p>
      </list-item>
    </list>
    <p>The attitude of others is the input and suggestions given from
    other parties that can influence consumer purchase decisions. The
    other person is considered an important person and a close
    person</p>
    <list list-type="order">
      <list-item>
        <label>2.</label>
        <p>Unexpected situational factors</p>
      </list-item>
    </list>
    <p>Unexpected situational factors or unpredictable or unforeseen
    circumstances. When consumers want to use a product or service
    quality, it is supported based on income, price perception, and the
    expected benefits of product quality.</p>
  </sec>
  <sec id="customer-satisfaction">
    <title>Customer Satisfaction</title>
    <p>According to the opinions of the experts above, it can be
    concluded that customer satisfaction is a person's feeling of
    happiness or disappointment arising from the fulfillment of customer
    needs and desires.</p>
    <p>The following are the indicators of customer satisfaction
    according to (Nasruddin &amp; Nurchayati, 2019):</p>
    <list list-type="order">
      <list-item>
        <p>Product quality</p>
      </list-item>
    </list>
    <p>Customers feel satisfied if they buy and use the quality of the
    product/service turns out to have the desired quality.</p>
    <list list-type="order">
      <list-item>
        <label>2.</label>
        <p>Price perception</p>
      </list-item>
    </list>
    <p>For customers who are sensitive, the perception of low prices is
    an important source of satisfaction because they will get <italic>a
    high value of money</italic>. For customers who are not sensitive to
    price perception, the price perception component is relatively not
    very important to them.</p>
    <list list-type="order">
      <list-item>
        <label>3.</label>
        <p>Quality of service</p>
      </list-item>
    </list>
    <p>Employees give their best performance to meet customer
    satisfaction.</p>
    <list list-type="order">
      <list-item>
        <label>4.</label>
        <p>Emotional factors</p>
      </list-item>
    </list>
    <p>Pride, confidence, symbols of success, part of an important group
    and so on are examples of the emotions that underlie customer
    satisfaction.</p>
    <list list-type="order">
      <list-item>
        <label>5.</label>
        <p>Cost and convenience</p>
      </list-item>
    </list>
    <p>Customers will be more satisfied if it is relatively cheap, easy,
    comfortable, and efficient in getting quality products or
    services.</p>
    <disp-quote>
      <p><italic><bold>Conceptual Framework</bold></italic></p>
    </disp-quote>
    <graphic mimetype="image" mime-subtype="png" xlink:href="vertopal_03168acf38134317a0b6480bb367513f/media/image4.png" />
    <disp-quote>
      <p><bold>Gambar 2. Kerangka Konseptual</bold></p>
    </disp-quote>
  </sec>
</sec>







<sec>
  <title>METHODOLOGY</title>
  <sec id="research-design">
    <title>Research Design</title>
    <p>This study uses a quantitative approach in the form of causal
    associations (cause and effect) with the aim of determining the
    relationship between the influence of two or more variables (Yani
    Balaka &amp; Abyan, 2022). The data collection method in this study
    uses a survey approach, namely the collection and assessment of
    respondents from variables through questionnaires. The questionnaire
    consists of open-ended questions regarding identity and closed-
    ended questions that have been provided that will be measured using
    the Likert scale. The questionnaire will be given directly to
    respondents. The instrument was then tested with validity tests,
    reliability tests, and classical assumption tests. The data were
    used based on population and sampling using the nonprobability
    sampling method, using the purposive sampling technique.</p>
  </sec>
  <sec id="research-location">
    <title>Research Location</title>
    <p>This research was conducted at the Braud Cafe located on Jl.
    Mertanadi No.62, Kerobokan Kelod, North Kuta District, Badung
    Regency, Bali 80361. This aims to get information directly from the
    customers after they make a visit.</p>
  </sec>
  <sec id="research-object">
    <title>Research Object</title>
    <p>The object of this research is the behavior of Kafe Braud
    customers, especially related to the intention to buy again after
    evaluating product quality, service quality, price perception,
    promotion and location. This study will measure how product quality,
    price perception, venue, promotion, people, process, and physical
    evidence affect repurchase intent. Based on the calculation of the
    sample, the number of samples needed is 96 respondents which are
    rounded to 100 respondents.</p>
  </sec>
  <sec id="population-and-sample">
    <title>Population and Sample</title>
    <p>The population in this study is all customers of Cafe Braud who
    have made purchases and have had direct experience at the cafe.</p>
  </sec>
  <sec id="data-types-and-sources-data-type">
    <title>Data Types and Sources Data Type</title>
    <list list-type="alpha-lower">
      <list-item>
        <p>Quantitative Data</p>
      </list-item>
    </list>
    <p>The data is measured numerically and analyzed using statistical
    methods, such as mean values, regression, and moderation tests.</p>
    <list list-type="alpha-lower">
      <list-item>
        <label>b.</label>
        <p>Qualitative Data</p>
      </list-item>
    </list>
    <p>Supporting data is a description of customer experience collected
    through open- ended questions on questionnaires.</p>
  </sec>
  <sec id="data-source">
    <title>Data Source</title>
    <list list-type="alpha-lower">
      <list-item>
        <p>The primary source is research respondents collected directly
        from Kafe braud customers through a questionnaire survey.</p>
      </list-item>
      <list-item>
        <p>Secondary Sources are supporters obtained from various
        literature such as books, journals, and previous research
        reports. In this study, secondary data was used in the form of
        data from BPS Bali Province, Braud cafe sales data, Braud cafe
        Instagram insights, and previous research articles.</p>
      </list-item>
    </list>
  </sec>
</sec>





<sec>
  <title>RESULTS</title>
  <sec id="descriptive-statistical-test">
    <title>Descriptive Statistical Test</title>
    <p>Descriptive analysis was carried out to describe the research
    data based on the minimum, maximum, average, and standard values of
    variable deviation. Here are the results:</p>
    <disp-quote>
      <p>Table 2. Statistical Test Results</p>
    </disp-quote>
    <table-wrap>
        <label>Table 2. Statistical Test Results</label>
        <caption>
            <title>Source: Primary Data processed, SPSS 2025</title>
        </caption>
        <table>
            <thead>
                <tr>
                    <th align="left" valign="top" colspan="2">Deskriptif Descriptive Statistics</th>
                    <th align="center" valign="top">N</th>
                    <th align="center" valign="top">Minimum</th>
                    <th align="center" valign="top">Maximum</th>
                    <th align="center" valign="top">Mean</th>
                    <th align="center" valign="top">Std. Deviation</th>
                </tr>
            </thead>
            <tbody>
                <tr>
                    <td align="left" valign="top" colspan="2">Product Quality</td>
                    <td align="center" valign="top">100</td>
                    <td align="center" valign="top">11</td>
                    <td align="center" valign="top">20</td>
                    <td align="center" valign="top">15.90</td>
                    <td align="center" valign="top">2.120</td>
                </tr>
                <tr>
                    <td align="left" valign="top" colspan="2">Quality of Service</td>
                    <td align="center" valign="top">100</td>
                    <td align="center" valign="top">13</td>
                    <td align="center" valign="top">25</td>
                    <td align="center" valign="top">19.40</td>
                    <td align="center" valign="top">3.146</td>
                </tr>
                <tr>
                    <td align="left" valign="top" colspan="2">Price Perception</td>
                    <td align="center" valign="top">100</td>
                    <td align="center" valign="top">9</td>
                    <td align="center" valign="top">15</td>
                    <td align="center" valign="top">12.24</td>
                    <td align="center" valign="top">1.498</td>
                </tr>
                <tr>
                    <td align="left" valign="top" colspan="2">Promotion</td>
                    <td align="center" valign="top">100</td>
                    <td align="center" valign="top">7</td>
                    <td align="center" valign="top">15</td>
                    <td align="center" valign="top">10.98</td>
                    <td align="center" valign="top">2.160</td>
                </tr>
                <tr>
                    <td align="left" valign="top" colspan="2">Place</td>
                    <td align="center" valign="top">100</td>
                    <td align="center" valign="top">10</td>
                    <td align="center" valign="top">25</td>
                    <td align="center" valign="top">16.37</td>
                    <td align="center" valign="top">4.532</td>
                </tr>
                <tr>
                    <td align="left" valign="top" colspan="2">Customer Satisfaction</td>
                    <td align="center" valign="top">100</td>
                    <td align="center" valign="top">8</td>
                    <td align="center" valign="top">20</td>
                    <td align="center" valign="top">16.34</td>
                    <td align="center" valign="top">2.927</td>
                </tr>
                <tr>
                    <td align="left" valign="top" colspan="2">Repurchase Intent</td>
                    <td align="center" valign="top">100</td>
                    <td align="center" valign="top">8</td>
                    <td align="center" valign="top">20</td>
                    <td align="center" valign="top">12.75</td>
                    <td align="center" valign="top">3.283</td>
                </tr>
                <tr>
                    <td align="left" valign="top" colspan="2">Valid N (listwise)</td>
                    <td align="center" valign="top">100</td>
                    <td align="center" valign="top"></td>
                    <td align="center" valign="top"></td>
                    <td align="center" valign="top"></td>
                    <td align="center" valign="top"></td>
                </tr>
            </tbody>
        </table>
    </table-wrap>
    <p>Based on the results of the descriptive analysis, all variables
    in the study showed a mean value higher than the standard deviation,
    indicating a good data trend. Of the 100 respondents, product
    quality had an average score of 15.90 (SD=2,120), service quality
    19.40 (SD=3,146), price perception 12.24 (SD=1,498), promotion</p>
    <p>10.98 (SD=2,160), and place 16.37 (SD=4,532). Customer
    satisfaction averaged</p>
    <p>16.34 (SD=2,927), while repurchase intent averaged 12.75
    (SD=3,283). In general, the data showed a fairly stable
    distribution, although some variables such as place and repurchase
    intent had a larger score spread than others.</p>
  </sec>
    <sec id="classic-assumption-test">
      <title>Classic Assumption Test</title>
      <list list-type="order">
        <list-item>
          <p>Normality Test</p>
        </list-item>
      </list>
      <disp-quote>
        <p>Table 3. <italic>Kolmogrov Smirnov Test Results</italic></p>
      </disp-quote>
      <table-wrap>
          <label>Table 3. Kolmogrov Smirnov Test Results</label>
          <caption>
              <title>One-Sample Kolmogorov-Smirnov Test</title>
              <p>Sumber: Data Primer diolah, SPSS 2025</p>
              <label>a.</label><p>Test distribution is Normal.</p>
              <label>b.</label><p>Calculated from data.</p>
              <label>c.</label><p>Lilliefors Significance Correction.</p>
              <label>d.</label><p>This is a lower bound of the true significance.</p>
          </caption>
          <table>
              <thead>
                  <tr>
                      <th align="left" valign="top" colspan="2"></th>
                      <th align="center" valign="top">Unstandardized Residual</th>
                  </tr>
              </thead>
              <tbody>
                  <tr>
                      <td align="left" valign="top" colspan="2">N</td>
                      <td align="center" valign="top">100</td>
                  </tr>
                  <tr>
                      <td align="left" valign="top" rowspan="2">Normal Parameters<sup>a,b</sup></td>
                      <td align="left" valign="top">Mean</td>
                      <td align="center" valign="top">.0000000</td>
                  </tr>
                  <tr>
                      <td align="left" valign="top">Std. Deviation</td>
                      <td align="center" valign="top">2.21904545</td>
                  </tr>
                  <tr>
                      <td align="left" valign="top" rowspan="3">Most Extreme Differences</td>
                      <td align="left" valign="top">Absolute</td>
                      <td align="center" valign="top">.060</td>
                  </tr>
                  <tr>
                      <td align="left" valign="top">Positive</td>
                      <td align="center" valign="top">.060</td>
                  </tr>
                  <tr>
                      <td align="left" valign="top">Negative</td>
                      <td align="center" valign="top">-.044</td>
                  </tr>
                  <tr>
                      <td align="left" valign="top" colspan="2">Test Statistic</td>
                      <td align="center" valign="top">.060</td>
                  </tr>
                  <tr>
                      <td align="left" valign="top" colspan="2">Asymp. Sig. (2-tailed)</td>
                      <td align="center" valign="top">.200<sup>c,d</sup></td>
                  </tr>
              </tbody>
          </table>
      </table-wrap>
    <p>The test results presented in the table show the value of asymp.
    Sig. (2- tailed) by 0.200. This number, which exceeds 0.05, forms
    the basis for the conclusion that the residual data in the
    regression model has met the assumption of normality.</p>
    <list list-type="order">
      <list-item>
        <label>2.</label>
        <p>Multicollinearity Test</p>
      </list-item>
    </list>
    <disp-quote>
      <p>Tabel. 4 Hasil Uji Multikolinearitas Collinearity Statistics</p>
    </disp-quote>
    <table-wrap>
        <label>Tabel 4. Hasil Uji Multikolinearitas Collinearity Statistics</label>
        <caption>
            <title>Source: Primary Data processed, SPSS 2025</title>
            <label>a.</label><p>Dependent Variable: Repurchase Intent</p>
        </caption>
        <table>
            <thead>
                <tr>
                    <th align="left" valign="top">Model</th>
                    <th align="center" valign="top">Tolerance</th>
                    <th align="center" valign="top">VIF</th>
                </tr>
            </thead>
            <tbody>
                <tr>
                    <td align="left" valign="top">1 Product Quality</td>
                    <td align="center" valign="top">.821</td>
                    <td align="center" valign="top">1.218</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Quality of Service</td>
                    <td align="center" valign="top">.479</td>
                    <td align="center" valign="top">2.088</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Price Perception</td>
                    <td align="center" valign="top">.938</td>
                    <td align="center" valign="top">1.066</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Promotion</td>
                    <td align="center" valign="top">.544</td>
                    <td align="center" valign="top">1.838</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Place</td>
                    <td align="center" valign="top">.736</td>
                    <td align="center" valign="top">1.359</td>
                </tr>
            </tbody>
        </table>
    </table-wrap>
    <list list-type="order">
      <list-item>
        <p>Heterokedasticity Test</p>
      </list-item>
    </list>
    <p>To detect heteroscedasticity, it can be done through <italic>a
    geltser test</italic>. If the significance value is greater than
    0.05, then the conclusion is that heteroscedasticity does not occur,
    and vice versa.</p>
    <disp-quote>
      <p>Table. 5 Heterokedasticity Test Results</p>
    </disp-quote>
    <table-wrap>
        <label>Table 5. Heterokedasticity Test Results Coefficients<sup>a</sup></label>
        <caption>
            <title>Source: Primary Data processed, SPSS 2025</title>
            <label>a.</label><p>Dependent Variable: Abs_RES</p>
        </caption>
        <table>
            <thead>
                <tr>
                    <th align="left" valign="top" rowspan="2">Model</th>
                    <th align="center" valign="top" colspan="2">Unstandardized Coefficients</th>
                    <th align="center" valign="top">Standardized Coefficients</th>
                    <th align="center" valign="top" rowspan="2">t</th>
                    <th align="center" valign="top" rowspan="2">Sig.</th>
                </tr>
                <tr>
                    <th align="center" valign="top">B</th>
                    <th align="center" valign="top">Std. Error</th>
                    <th align="center" valign="top">Beta</th>
                </tr>
            </thead>
            <tbody>
                <tr>
                    <td align="left" valign="top">1 (Constant)</td>
                    <td align="center" valign="top">.987</td>
                    <td align="center" valign="top">1.572</td>
                    <td align="center" valign="top"></td>
                    <td align="center" valign="top">.628</td>
                    <td align="center" valign="top">.531</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Product Quality</td>
                    <td align="center" valign="top">.053</td>
                    <td align="center" valign="top">.068</td>
                    <td align="center" valign="top">.086</td>
                    <td align="center" valign="top">.780</td>
                    <td align="center" valign="top">.437</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Quality of Service</td>
                    <td align="center" valign="top">.100</td>
                    <td align="center" valign="top">.060</td>
                    <td align="center" valign="top">.240</td>
                    <td align="center" valign="top">1.667</td>
                    <td align="center" valign="top">.099</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Price Perception</td>
                    <td align="center" valign="top">-.048</td>
                    <td align="center" valign="top">.090</td>
                    <td align="center" valign="top">-.054</td>
                    <td align="center" valign="top">-.527</td>
                    <td align="center" valign="top">.599</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Promotion</td>
                    <td align="center" valign="top">-.150</td>
                    <td align="center" valign="top">.082</td>
                    <td align="center" valign="top">-.247</td>
                    <td align="center" valign="top">-1.823</td>
                    <td align="center" valign="top">.071</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Place</td>
                    <td align="center" valign="top">.014</td>
                    <td align="center" valign="top">.034</td>
                    <td align="center" valign="top">.049</td>
                    <td align="center" valign="top">.422</td>
                    <td align="center" valign="top">.674</td>
                </tr>
            </tbody>
        </table>
    </table-wrap>
    <p>Based on the above results, it can be seen that all variables
    have a Sig. value of &gt; 0.05, so it can be concluded that
    heteroscedasticity does not occur.</p>
    <sec id="multiple-linear-regression-test">
      <title>Multiple Linear Regression Test</title>
      <p>The following are the results of multiple linear regression
      analysis:</p>
    <disp-quote>
      <p>Table. 6 Multiple Linear Regression Test Results</p>
    </disp-quote>
    <table-wrap>
        <label>Table 6. Multiple Linear Regression Test Results Coefficients<sup>a</sup></label>
        <caption>
            <title>Source: Primary Data processed, SPSS 2025</title>
            <label>a.</label><p>Dependent Variable: Repurchase Intent</p>
        </caption>
        <table>
            <thead>
                <tr>
                    <th align="left" valign="top" rowspan="2">Model</th>
                    <th align="center" valign="top" colspan="2">Unstandardized Coefficients</th>
                    <th align="center" valign="top">Standardized Coefficients</th>
                    <th align="center" valign="top" rowspan="2">t</th>
                    <th align="center" valign="top" rowspan="2">Sig.</th>
                </tr>
                <tr>
                    <th align="center" valign="top">B</th>
                    <th align="center" valign="top">Std. Error</th>
                    <th align="center" valign="top">Beta</th>
                </tr>
            </thead>
            <tbody>
                <tr>
                    <td align="left" valign="top">1 (Constant)</td>
                    <td align="center" valign="top">-7.286</td>
                    <td align="center" valign="top">2.750</td>
                    <td align="center" valign="top"></td>
                    <td align="center" valign="top">-2.649</td>
                    <td align="center" valign="top">.009</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Product Quality</td>
                    <td align="center" valign="top">.278</td>
                    <td align="center" valign="top">.119</td>
                    <td align="center" valign="top">.179</td>
                    <td align="center" valign="top">2.332</td>
                    <td align="center" valign="top">.022</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Quality of Service</td>
                    <td align="center" valign="top">.357</td>
                    <td align="center" valign="top">.105</td>
                    <td align="center" valign="top">.342</td>
                    <td align="center" valign="top">3.392</td>
                    <td align="center" valign="top">.001</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Price Perception</td>
                    <td align="center" valign="top">.415</td>
                    <td align="center" valign="top">.158</td>
                    <td align="center" valign="top">.189</td>
                    <td align="center" valign="top">2.630</td>
                    <td align="center" valign="top">.010</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Promotion</td>
                    <td align="center" valign="top">-.211</td>
                    <td align="center" valign="top">.144</td>
                    <td align="center" valign="top">-.139</td>
                    <td align="center" valign="top">-1.470</td>
                    <td align="center" valign="top">.145</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Place</td>
                    <td align="center" valign="top">.363</td>
                    <td align="center" valign="top">.059</td>
                    <td align="center" valign="top">.501</td>
                    <td align="center" valign="top">6.167</td>
                    <td align="center" valign="top">.000</td>
                </tr>
            </tbody>
        </table>
    </table-wrap>
  </sec>
    <sec id="uji-moderated-regression-analysis-mra">
      <title>Uji Moderated Regression Analysis (MRA)</title>
      <p>The following are the results of the moderation test:</p>
      <disp-quote>
        <p>Table 7 Moderated Regression Analysis Test Results</p>
      </disp-quote>
      <table-wrap>
          <label>Table 7. Moderated Regression Analysis Test Results Coefficients<sup>a</sup></label>
          <caption>
              <title>Source: Primary Data processed, SPSS 2025</title>
              <label>a.</label><p>Dependent Variable: Repurchase Intent</p>
          </caption>
          <table>
              <thead>
                  <tr>
                      <th align="left" valign="top" rowspan="2">Model</th>
                      <th align="center" valign="top" colspan="2">Unstandardized Coefficients</th>
                      <th align="center" valign="top">Standardized Coefficients</th>
                      <th align="center" valign="top" rowspan="2">t</th>
                      <th align="center" valign="top" rowspan="2">Sig.</th>
                  </tr>
                  <tr>
                      <th align="center" valign="top">B</th>
                      <th align="center" valign="top">Std. Error</th>
                      <th align="center" valign="top">Beta</th>
                  </tr>
              </thead>
              <tbody>
                  <tr>
                      <td align="left" valign="top">1 (Constant)</td>
                      <td align="center" valign="top">10.959</td>
                      <td align="center" valign="top">14.427</td>
                      <td align="center" valign="top"></td>
                      <td align="center" valign="top">.760</td>
                      <td align="center" valign="top">.450</td>
                  </tr>
                  <tr>
                      <td align="left" valign="top">Product Quality</td>
                      <td align="center" valign="top">.921</td>
                      <td align="center" valign="top">.671</td>
                      <td align="center" valign="top">.595</td>
                      <td align="center" valign="top">1.372</td>
                      <td align="center" valign="top">.174</td>
                  </tr>
                  <tr>
                      <td align="left" valign="top">Quality of Service</td>
                      <td align="center" valign="top">.372</td>
                      <td align="center" valign="top">.637</td>
                      <td align="center" valign="top">.357</td>
                      <td align="center" valign="top">.584</td>
                      <td align="center" valign="top">.561</td>
                  </tr>
                  <tr>
                      <td align="left" valign="top">Price Perception</td>
                      <td align="center" valign="top">-.370</td>
                      <td align="center" valign="top">.934</td>
                      <td align="center" valign="top">-.169</td>
                      <td align="center" valign="top">-.396</td>
                      <td align="center" valign="top">.693</td>
                  </tr>
                  <tr>
                      <td align="left" valign="top">Promotion</td>
                      <td align="center" valign="top">-1.287</td>
                      <td align="center" valign="top">.808</td>
                      <td align="center" valign="top">-.847</td>
                      <td align="center" valign="top">-1.593</td>
                      <td align="center" valign="top">.115</td>
                  </tr>
                  <tr>
                      <td align="left" valign="top">Place</td>
                      <td align="center" valign="top">-.185</td>
                      <td align="center" valign="top">.359</td>
                      <td align="center" valign="top">-.256</td>
                      <td align="center" valign="top">-.517</td>
                      <td align="center" valign="top">.607</td>
                  </tr>
                  <tr>
                      <td align="left" valign="top">Customer Satisfaction</td>
                      <td align="center" valign="top">-1.033</td>
                      <td align="center" valign="top">.878</td>
                      <td align="center" valign="top">-.921</td>
                      <td align="center" valign="top">-1.176</td>
                      <td align="center" valign="top">.243</td>
                  </tr>
                  <tr>
                      <td align="left" valign="top">Moderation X1</td>
                      <td align="center" valign="top">-.044</td>
                      <td align="center" valign="top">.040</td>
                      <td align="center" valign="top">-.964</td>
                      <td align="center" valign="top">-1.113</td>
                      <td align="center" valign="top">.269</td>
                  </tr>
                  <tr>
                      <td align="left" valign="top">Moderation X2</td>
                      <td align="center" valign="top">-.001</td>
                      <td align="center" valign="top">.039</td>
                      <td align="center" valign="top">-.028</td>
                      <td align="center" valign="top">-.028</td>
                      <td align="center" valign="top">.978</td>
                  </tr>
                  <tr>
                      <td align="left" valign="top">Moderation X3</td>
                      <td align="center" valign="top">.050</td>
                      <td align="center" valign="top">.056</td>
                      <td align="center" valign="top">.685</td>
                      <td align="center" valign="top">.879</td>
                      <td align="center" valign="top">.382</td>
                  </tr>
                  <tr>
                      <td align="left" valign="top">Moderation X4</td>
                      <td align="center" valign="top">.063</td>
                      <td align="center" valign="top">.049</td>
                      <td align="center" valign="top">1.046</td>
                      <td align="center" valign="top">1.292</td>
                      <td align="center" valign="top">.200</td>
                  </tr>
                  <tr>
                      <td align="left" valign="top">Moderation X5</td>
                      <td align="center" valign="top">.034</td>
                      <td align="center" valign="top">.022</td>
                      <td align="center" valign="top">.981</td>
                      <td align="center" valign="top">1.544</td>
                      <td align="center" valign="top">.126</td>
                  </tr>
              </tbody>
          </table>
      </table-wrap>
    <p>As a result of the regression equation, it can be interpreted as
    follows:</p>
    <list list-type="order">
      <list-item>
        <p>The coefficient for (Constant) is 10.959, which represents
        the intercept value when all other independent variables are
        zero.</p>
      </list-item>
      <list-item>
        <p>Product Quality has a coefficient of 0.921, which indicates a
        positive impact; a one-unit increase in Product Quality is
        associated with a 0.921 increase in Repurchase Intent, if other
        variables are constant.</p>
      </list-item>
    </list>
  </sec>
    <sec id="uji-hipotesis">
      <title>Uji Hipotesis</title>
      <list list-type="order">
        <list-item>
          <p>Test T</p>
        </list-item>
      </list>
      <p>The comparison between the calculated t value and the t table
      became the basis for the test. If t calculates exceeds t table or
      its significance is below 0.05, the significant independent
      variable affects the bound variable, and vice versa.</p>
    <disp-quote>
      <p>Tabel. 8 Hasil Uji T</p>
    </disp-quote>
    <table-wrap>
        <label>Tabel 8. Hasil Uji T Coefficients<sup>a</sup></label>
        <caption>
            <title>Source: Primary Data processed, SPSS 2025</title>
            <p><label>a.</label><p>Dependent Variable: Repurchase Intent</p></p>
        </caption>
        <table>
            <thead>
                <tr>
                    <th align="left" valign="top" rowspan="2">Model</th>
                    <th align="center" valign="top" colspan="2">Unstandardized Coefficients</th>
                    <th align="center" valign="top">Standardized Coefficients</th>
                    <th align="center" valign="top" rowspan="2">t</th>
                    <th align="center" valign="top" rowspan="2">Sig.</th>
                </tr>
                <tr>
                    <th align="center" valign="top">B</th>
                    <th align="center" valign="top">Std. Error</th>
                    <th align="center" valign="top">Beta</th>
                </tr>
            </thead>
            <tbody>
                <tr>
                    <td align="left" valign="top">1 (Constant)</td>
                    <td align="center" valign="top">-7.286</td>
                    <td align="center" valign="top">2.750</td>
                    <td align="center" valign="top"></td>
                    <td align="center" valign="top">-2.649</td>
                    <td align="center" valign="top">.009</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Product Quality</td>
                    <td align="center" valign="top">.278</td>
                    <td align="center" valign="top">.119</td>
                    <td align="center" valign="top">.179</td>
                    <td align="center" valign="top">2.332</td>
                    <td align="center" valign="top">.022</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Quality of Service</td>
                    <td align="center" valign="top">.357</td>
                    <td align="center" valign="top">.105</td>
                    <td align="center" valign="top">.342</td>
                    <td align="center" valign="top">3.392</td>
                    <td align="center" valign="top">.001</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Price Perception</td>
                    <td align="center" valign="top">.415</td>
                    <td align="center" valign="top">.158</td>
                    <td align="center" valign="top">.189</td>
                    <td align="center" valign="top">2.630</td>
                    <td align="center" valign="top">.010</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Promotion</td>
                    <td align="center" valign="top">-.211</td>
                    <td align="center" valign="top">.144</td>
                    <td align="center" valign="top">-.139</td>
                    <td align="center" valign="top">-1.470</td>
                    <td align="center" valign="top">.145</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Place</td>
                    <td align="center" valign="top">.363</td>
                    <td align="center" valign="top">.059</td>
                    <td align="center" valign="top">.501</td>
                    <td align="center" valign="top">6.167</td>
                    <td align="center" valign="top">.000</td>
                </tr>
            </tbody>
        </table>
    </table-wrap>
    <p>Based on the results of the t-test, it was obtained that the
    variables of product quality (X1), service quality (X2), price
    perception (X3), and place (X5) had a positive and significant
    influence on repurchase intention, indicated by the tcal value of
    each greater than the ttable (1.66123) and the significance level
    below</p>
    <p>0.05. On the other hand, the promotional variable (X4) has no
    effect on the repurchase intention because the tcal value (-1.470)
    is smaller than the ttable and the significance value of 0.145
    exceeds the limit of 0.05, so the fourth hypothesis is rejected.
    Thus, four of the five variables in the model proved to be
    significant in influencing the repurchase intent of Kafe Braud
    customers.</p>
    <disp-quote>
      <p>Table. 9 MRA Test Results</p>
    </disp-quote>
    <table-wrap>
        <label>Table 9. MRA Test Results Coefficients<sup>a</sup></label>
        <caption>
            <title>Source: Primary Data processed, SPSS 2025</title>
            <p><label>a.</label><p>Dependent Variable: Repurchase Intent</p></p>
        </caption>
        <table>
            <thead>
                <tr>
                    <th align="left" valign="top" rowspan="2">Model</th>
                    <th align="center" valign="top" colspan="2">Unstandardized Coefficients</th>
                    <th align="center" valign="top">Standardized Coefficients</th>
                    <th align="center" valign="top" rowspan="2">t</th>
                    <th align="center" valign="top" rowspan="2">Sig.</th>
                </tr>
                <tr>
                    <th align="center" valign="top">B</th>
                    <th align="center" valign="top">Std. Error</th>
                    <th align="center" valign="top">Beta</th>
                </tr>
            </thead>
            <tbody>
                <tr>
                    <td align="left" valign="top">1 (Constant)</td>
                    <td align="center" valign="top">10.959</td>
                    <td align="center" valign="top">14.427</td>
                    <td align="center" valign="top"></td>
                    <td align="center" valign="top">.760</td>
                    <td align="center" valign="top">.450</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Product Quality</td>
                    <td align="center" valign="top">.921</td>
                    <td align="center" valign="top">.671</td>
                    <td align="center" valign="top">.595</td>
                    <td align="center" valign="top">1.372</td>
                    <td align="center" valign="top">.174</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Quality of Service</td>
                    <td align="center" valign="top">.372</td>
                    <td align="center" valign="top">.637</td>
                    <td align="center" valign="top">.357</td>
                    <td align="center" valign="top">.584</td>
                    <td align="center" valign="top">.561</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Price Perception</td>
                    <td align="center" valign="top">-.370</td>
                    <td align="center" valign="top">.934</td>
                    <td align="center" valign="top">-.169</td>
                    <td align="center" valign="top">-.396</td>
                    <td align="center" valign="top">.693</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Promotion</td>
                    <td align="center" valign="top">-1.287</td>
                    <td align="center" valign="top">.808</td>
                    <td align="center" valign="top">-.847</td>
                    <td align="center" valign="top">-1.593</td>
                    <td align="center" valign="top">.115</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Place</td>
                    <td align="center" valign="top">-.185</td>
                    <td align="center" valign="top">.359</td>
                    <td align="center" valign="top">-.256</td>
                    <td align="center" valign="top">-.517</td>
                    <td align="center" valign="top">.607</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Customer Satisfaction</td>
                    <td align="center" valign="top">-1.033</td>
                    <td align="center" valign="top">.878</td>
                    <td align="center" valign="top">-.921</td>
                    <td align="center" valign="top">-1.176</td>
                    <td align="center" valign="top">.243</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Moderation X1</td>
                    <td align="center" valign="top">-.044</td>
                    <td align="center" valign="top">.040</td>
                    <td align="center" valign="top">-.964</td>
                    <td align="center" valign="top">-1.113</td>
                    <td align="center" valign="top">.269</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Moderation X2</td>
                    <td align="center" valign="top">-.001</td>
                    <td align="center" valign="top">.039</td>
                    <td align="center" valign="top">-.028</td>
                    <td align="center" valign="top">-.028</td>
                    <td align="center" valign="top">.978</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Moderation X3</td>
                    <td align="center" valign="top">.050</td>
                    <td align="center" valign="top">.056</td>
                    <td align="center" valign="top">.685</td>
                    <td align="center" valign="top">.879</td>
                    <td align="center" valign="top">.382</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Moderation X4</td>
                    <td align="center" valign="top">.063</td>
                    <td align="center" valign="top">.049</td>
                    <td align="center" valign="top">1.046</td>
                    <td align="center" valign="top">1.292</td>
                    <td align="center" valign="top">.200</td>
                </tr>
                <tr>
                    <td align="left" valign="top">Moderation X5</td>
                    <td align="center" valign="top">.034</td>
                    <td align="center" valign="top">.022</td>
                    <td align="center" valign="top">.981</td>
                    <td align="center" valign="top">1.544</td>
                    <td align="center" valign="top">.126</td>
                </tr>
            </tbody>
        </table>
    </table-wrap>
    <p>The results of the moderation test showed that customer
    satisfaction did not significantly moderate the influence of product
    quality, service quality, price perception, promotion, or place on
    repurchase intention. The entire moderation value of each variable
    is below the table with a significance above 0.05, so all five
    moderation hypotheses (H6–H10) are rejected. This indicates that
    customer satisfaction did not strengthen or weaken the relationship
    between the 4P variable and repurchase intent in this study.</p>
    <list list-type="order">
      <list-item>
        <label>2.</label>
        <p>Test F</p>
      </list-item>
    </list>
    <p>If the significance value (Sig.) is less than 0.05, it can be
    concluded that the independent variables together affect the
    dependent variables.</p>
    <disp-quote>
      <p>Table. 10 F test results</p>
    </disp-quote>
    <table-wrap>
        <label>Table 10. F test results ANOVA<sup>a</sup></label>
        <caption>
            <title>Source: Primary Data processed, SPSS 2025</title>
            <p><label>a.</label><p>Dependent Variable: Repurchase Intent</p></p>
            <p><label>b.</label><p>Predictors: (Constant), Venue, Price Perception, Promotion, Product Quality, Service Quality</p></p>
        </caption>
        <table>
            <thead>
                <tr>
                    <th align="left" valign="top">Model</th>
                    <th align="center" valign="top">Sum of Squares</th>
                    <th align="center" valign="top">df</th>
                    <th align="center" valign="top">Mean Square</th>
                    <th align="center" valign="top">F</th>
                    <th align="center" valign="top">Sig.</th>
                </tr>
            </thead>
            <tbody>
                <tr>
                    <td align="left" valign="top">Regression</td>
                    <td align="center" valign="top">579.258</td>
                    <td align="center" valign="top">5</td>
                    <td align="center" valign="top">115.852</td>
                    <td align="center" valign="top">22.339</td>
                    <td align="center" valign="top">.000<sup>b</sup></td>
                </tr>
                <tr>
                    <td align="left" valign="top">Residual</td>
                    <td align="center" valign="top">487.492</td>
                    <td align="center" valign="top">94</td>
                    <td align="center" valign="top">5.186</td>
                    <td align="center" valign="top"></td>
                    <td align="center" valign="top"></td>
                </tr>
                <tr>
                    <td align="left" valign="top">Total</td>
                    <td align="center" valign="top">1066.750</td>
                    <td align="center" valign="top">99</td>
                    <td align="center" valign="top"></td>
                    <td align="center" valign="top"></td>
                    <td align="center" valign="top"></td>
                </tr>
            </tbody>
        </table>
    </table-wrap>
    <p>Based on the results of the above test, a Fcal value of 22,339
    was obtained with a sig value. of 0.000, then it can be concluded
    that all independent variables have an effect on dependent
    variables</p>
  </sec>
  <sec id="Coefficient-Determination-Test">
    <title>Coefficient Determination TestModel Summary</title>
    <disp-quote>
      <p>Model Summary</p>
    </disp-quote>
    <table-wrap>
        <label>Model Summary</label>
        <caption>
            <title>Source: Data processed, SPSS 2025</title>
            <p><label>a.</label><p>Predictors: (Constant), Venue, Price Perception, Promotion, Product Quality, Service Quality</p></p>
        </caption>
        <table>
            <thead>
                <tr>
                    <th align="center" valign="top">Model</th>
                    <th align="center" valign="top">R</th>
                    <th align="center" valign="top">R Square</th>
                    <th align="center" valign="top">Adjusted R Square</th>
                    <th align="center" valign="top">Std. Error of the Estimate</th>
                </tr>
            </thead>
            <tbody>
                <tr>
                    <td align="center" valign="top">1</td>
                    <td align="center" valign="top">.737<sup>a</sup></td>
                    <td align="center" valign="top">.543</td>
                    <td align="center" valign="top">.519</td>
                    <td align="center" valign="top">2.277</td>
                </tr>
            </tbody>
        </table>
    </table-wrap>
    <p>Based on table 4.30, the <italic>Adjusted R Square</italic> is
    0.543 or 54.3%. According to this value, the value of product
    quality, service quality, price perception, promotion and place is
    responsible for 54.3% of the variation in repurchase intent.</p>
  </sec>
  </sec>
</sec>






<sec>
  <title>DISCUSSION</title>
  <p>The results of the study show that product quality, service
  quality, price perception, and place have a positive and significant
  effect on the repurchase intention of Kafe Braud customers. This means
  that the better the four factors, the higher the likelihood of
  customers returning to purchase. In contrast, promotions do not show a
  significant influence on repurchase intent, as in the context of a</p>
  <p>competitive café industry, customer loyalty is influenced more by
  the overall experience than simply a promotional offer.</p>
  <p>Meanwhile, the customer satisfaction variable did not succeed in
  moderating the relationship between product quality, service quality,
  price perception, promotion, and place to repurchase intention. These
  findings indicate that even if customers are satisfied, other factors
  such as competitive prices, strategic location, and the availability
  of other alternatives remain key considerations in repurchase
  decisions. This reinforces the view that in service industries such as
  cafes, customer loyalty is shaped by a complex combination of various
  elements, rather than simply from momentary satisfaction.</p>
</sec>






<sec>
  <title>CONCLUSIONS AND RECOMMENDATIONS</title>
  <p>This study examines the influence of marketing mix (4P) on
  repurchase intention with customer satisfaction as a moderation
  variable in Braud Bali Cafe. The results of the analysis show that
  product quality, service quality, price perception, and place have a
  positive and significant influence on customer repurchase intention.
  This means that the better the four elements, the more likely
  customers are to return to purchase. In contrast, the promotional
  variable did not show a significant influence on repurchase intent,
  indicating that promotions were not a major factor in driving customer
  loyalty at these cafes.</p>
  <p>Further research is suggested to explore other variables beyond the
  4Ps and customer satisfaction that may have an effect on repurchase
  intent, such as brand loyalty, emotional connections, or customer
  experience. In addition, the addition of the number of respondents and
  a wider coverage of the location will increase the accuracy and
  generalization of the research results. For the management of Kafe
  Braud Bali, it is recommended to develop a more personalized and data-
  based promotional strategy, as well as continue to improve the quality
  of services and products to maintain satisfaction and encourage repeat
  purchases.</p>
</sec>





<sec>
  <title>FURTHER STUDY</title>
  <p>Every research is subject to limitations; thus, you can explain
  them here and briefly provide suggestions to further
  investigations.</p>
</sec>





<sec>
  <title>ACKNOWLEDGMENT</title>
  <p>This section gave you the opportunities to present gratitude to
  your colleagues who provide suggestions for your papers. You can also
  convey your appreciation to the financial grants you are accepting,
  making this paper.</p>
</sec>








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