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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">AJMA</journal-id>
      <journal-title-group>
        <journal-title>Asian Journal of Management and Accounting</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2963-4547</issn>
      <publisher>
        <publisher-name>Formosa Publisher</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.55927/ajma.v4i3.14445</article-id>
      <title-group>
        <article-title>The Influence of Brand Ambassador, Brand Trust and Electronic Word of Mouth on the Purchase Decision of Makeover Cosmetic Products</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Sofwatunnisa</surname>
            <given-names>Novi</given-names>
          </name>
          <aff>Universitas Muhammadiyah Purwokerto</aff>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Zamakhsyari</surname>
            <given-names>Luthfi</given-names>
          </name>
          <aff>Universitas Muhammadiyah Purwokerto</aff>
          <email>luthfizamakhsyari@gmail.com</email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Purwidianti</surname>
            <given-names>Wida</given-names>
          </name>
          <aff>Universitas Muhammadiyah Purwokerto</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Hidayah</surname>
            <given-names>Arini</given-names>
          </name>
          <aff>Universitas Muhammadiyah Purwokerto</aff>
        </contrib>
      </contrib-group>
      <pub-date pub-type="epub">
        <day>17</day>
        <month>07</month>
        <year>2025</year>
      </pub-date>
      <history>
        <date date-type="received">
          <day>28</day>
          <month>05</month>
          <year>2025</year>
        </date>
        <date date-type="rev-recd">
          <day>12</day>
          <month>06</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>16</day>
          <month>07</month>
          <year>2025</year>
        </date>
      </history>
      <volume>4</volume>
      <issue>3</issue>
      <fpage>769</fpage>
      <lpage>788</lpage>
      <abstract>
        <p>This study examines the rapid growth of the cosmetic industry, focusing on MakeOver, a leading brand in Indonesia. The objective is to analyze the impact of Brand Ambassadors, Brand Trust, and Electronic Word of Mouth (eWOM) on consumer purchasing decisions related to MakeOver products. A quantitative approach was employed using questionnaires distributed to 100 respondents. The target population consisted of female students from three universities in Purwokerto: University Muhammadiyah Purwokerto, State Islamic University Prof. K.H. Saifuddin Zuhri, and Wijaya Kusuma University. Purposive sampling was applied, selecting female students who had purchased MakeOver products at least once. Slovin’s formula was used to determine the sample size. Data were analyzed using IBM SPSS Statistics 25. The results reveal that (1) Brand Ambassadors significantly influence purchasing decisions, (2) Brand Trust significantly affects purchasing decisions, (3) eWOM significantly impacts purchasing decisions, and (4) Brand Ambassadors, Brand Trust, and eWOM collectively have a significant effect on consumer purchasing decisions.</p>
      </abstract>
      <kwd-group>
        <kwd>Brand Ambassador</kwd>
        <kwd>Brand Trust</kwd>
        <kwd>Electronic Word of Mouth</kwd>
        <kwd>Purchase Decision</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>Human needs in life are very crucial and continue to develop over
  time. Appearance is an important factor in a person's social
  interactions in the surrounding environment. For women, fulfilling the
  need for an attractive appearance includes aspects such as choosing a
  clothing style and using cosmetic products. Cosmetics have become an
  essential beauty trend for women, which serves to improve appearance
  and increase self-confidence without changing the shape or function of
  the body (Apsari &amp; Maulana, 2024).</p>
  <p>Indonesian women prefer cosmetics that have the characteristics of
  not causing irritation or allergies to the skin, long lasting, free
  from mercury and dangerous chemicals, and have a wide variety of
  colors. This spurs cosmetics manufacturers to continue trying to
  update their products. Many cosmetics manufacturers, both local and
  international, are competing to market their products. Several
  well-known cosmetic brands in Indonesia include Wardah, MakeOver,
  Emina, Hanasui, Implora, Inez, Pixy, and many others.</p>
  <disp-quote>
    <graphic mimetype="image" mime-subtype="jpeg" xlink:href="vertopal_8d3a49fc93f54210946b6c7d2f58ee1e/media/image3.jpeg" />
  </disp-quote>
  <sec id="figure-1.-top-brand-award-for-cosmetics-category">
    <title>Figure 1. Top Brand Award for Cosmetics Category</title>
    <disp-quote>
      <p><italic>Source
      <ext-link ext-link-type="uri" xlink:href="http://www.topbrand-award.com/">:</ext-link>
      <ext-link ext-link-type="uri" xlink:href="http://www.topbrand-award.com/"><underline>www.topbrand-award.com</underline></ext-link></italic></p>
    </disp-quote>
    <p>MakeOver has emerged as a notable cosmetic brand due to its
    ability to attract attention. From this data, it can be concluded
    that MakeOver will experience a significant increase in 2024, but
    MakeOver has not succeeded in reaching first position in the top
    brand award in the cosmetics category. This indicates that MakeOver
    still needs to increase consumer appeal and trust in order to
    dominate the market and become first place in the top brand
    award.</p>
    <p>MakeOver is a local cosmetic brand that offers a wide choice of
    colors, textures and functions to suit each product category, and
    excels in understanding skin characteristics and consumer needs in
    Indonesia. This brand is produced by PT. Paragon Technology and
    Innovation in 2010. Among the many local cosmetic companies,
    MakeOver is one that has penetrated the international market, and is
    often considered to come from abroad (Kurniawati, 2020). Thus,
    MakeOver products have gained global attention in the cosmetics
    industry.</p>
    <p>The selection of Makeover cosmetic products in this research was
    based on several reasons that are relevant to the cosmetics market
    in Indonesia, especially among female students. They frequently turn
    to digital platforms, particularly social media, to seek
    information, which impacts what they choose</p>
    <p>to buy. In addition, female students are often influenced by
    trends and recommendations from friends, family, or influencers,
    which makes them have a tendency to choose products that are popular
    or trending among their peers. With these various factors, Makeover
    is the right choice to research. This refers to purchasing decisions
    made by consumers to choose the product to buy by comparing two or
    more comparative products (Lestari &amp; Widjanarko, 2023). A
    purchasing decision represents the final a consumers choice to
    purchase a product or service, affected by various influences. It
    also reflects the extent of a marketer's efforts to promote the
    product to potential buyers (Abarca, 2021).</p>
    <p>Brand ambassador have become an important element in modern
    marketing strategies. According to Sigar et al., (2021) Brand
    ambassadors serve as cultural or identity symbols, functioning as
    marketing instruments that embody personal success while also
    promoting the commercialization and commodification of a product. A
    Brand Ambassador is typically chosen based on their positive image,
    which effectively represents the overall essence of the product,
    thereby exerting a significant influence on the product’s appeal.
    Research according to (Lessil, 2024; Purwati &amp; Cahyanti, 2022;
    Suleman et al., 2023) indicates that brand ambassadors have a
    significant impact on purchasing decisions. This is because of
    presence brand ambassador The right ones can influence consumer
    perceptions of products, they are believed to represent the value
    and quality of a brand. Meanwhile, according to Munawaroh &amp;
    Nurlinda, 2023; Susilawati, 2021; Yudhistira &amp; Patrikha, 2021;)
    it was found that the presence of brand ambassadors does not
    meaningfully affect consumers' purchase decisions. Because the
    celebrities used are not relevant or authentic to the target
    audience. Apart from factors brand ambassador, brand trust also
    plays a role in encouraging purchasing decisions.</p>
    <p>Brand trust also holds a vital position in shaping purchasing
    decisions for cosmetic items. According to Suhardi &amp; Imaryanti
    (2019) Brand trust refers to the confidence consumers have in a
    brand, stemming from their belief that the product can deliver on
    its promises and operates with genuine intentions, the brand is able
    to put consumers' interests first. Meanwhile, research according to
    (Apriliani &amp; Setyawati, 2023; Darmayanti et al., 2022; Sigar et
    al., 2021) It has been concluded that brand trust significantly
    impacts purchasing decisions, as buyer sentiment in a brand can
    foster loyalty and strengthen the intention to buy. However,
    differing findings from studies by Ali et al. (2019), Anjaswati
    &amp; Istiyanto (2023), and Herviani et al. (2020) suggest that
    brand trust does not always have a notable effect on purchase
    decisions. These studies argue that factors like product quality,
    pricing, and store location may play a more dominant role, thereby
    reducing the influence of brand trust. Additionally, other elements
    such as electronic word of mouth also contribute to consumer
    decision- making.</p>
    <p>Electronic word of mouth is one factor that cannot be ignored in
    this digital era. According to Kristiawan &amp; Keni (2020)
    electronic word of mouth is a form of company interaction with its
    consumers by providing positive or negative opinions, with the aim
    of helping consumers to make decisions by utilizing online media.
    Research results according to (Adilah et al., 2023;</p>
    <p>Rusahana et al., 2021; Yulindasari &amp; Fikriyah, 2022) show
    that electronic word of mouth significant influence on purchasing
    decisions. This is because consumers trust recommendations from
    friends, family and reviews on social media platforms more in order
    for consumers to decide on purchases. There are contradictory
    results by (Dewi et al., 2023; Fajriyah et al., 2022; Irfansyah,
    2023) revealing that electronic word of mouth does not affect
    consumers’ decision- making when purchasing. Because consumers don't
    always look at reviews on social media or recommendations from
    around them.</p>
    <p>This study builds upon earlier studies by Suleman et al. (2023),
    which examined the variables of brand ambassador and brand trust.
    The key distinction in this study is found in the addition of a new
    independent variable electronic word of mouth drawn from the
    research of Yulindasari &amp; Fikriyah (2022), as it has been shown
    to significantly impact purchasing decisions. Based on this
    rationale, the author is motivated to conduct a study titled 'The
    Influence of Brand Ambassador, Brand Trust, and Electronic Word of
    Mouth on Purchase Decisions of MakeOver Cosmetic Products’.</p>
  </sec>
</sec>












<sec>
  <title>LITERATURE REVIEW</title>
  <sec id="cognitive-theory">
    <title>Cognitive Theory</title>
    <p>Cognitive Theory according to Aaker &amp; Myers (1992), this
    theory assumes that audiences participate directly in the process of
    obtaining information by evaluating the information received, which
    ultimately results in changes in attitudes. This cognitive response
    approach is used to test consumers' cognitive processes when
    reading, seeing, or hearing the message/information they receive.
    This theory is related to research where brand ambassador acts as a
    source of information that can influence the brand’s reputation from
    the consumers perspective, temporarily brand trust related to
    consumer confidence in the quality and integrity of the brand.
    Besides that, electronic word of mouth includes communication
    between consumers that occurs online, which is essential in
    determining consumers perceptions of products. In this research,
    cognitive theory is used to explain how these three factors
    influence consumers' decision-making processes in purchasing
    MakeOver cosmetic products, by considering how the information
    received influences consumers' beliefs and final decisions in
    choosing products that suit their needs and preferences.</p>
    <p>In this study, the factor analysis used is multiple linear
    regression analysis to examine the simultaneous effect of
    independent variables on the dependent variable. Multiple linear
    regression analysis is a statistical method used to determine the
    relationship between two or more independent variables and one
    dependent variable.</p>
  </sec>
  <sec id="purchase-decision">
    <title>Purchase Decision</title>
    <p>The decision to purchase is the first step in the process through
    which consumers select a product or service. Where, this purchasing
    decision can be said to be the start of a product to address the
    demands and desires of consumers in their problems. This is because
    consumers make purchases based on the problems they face so that
    consumers' own needs and desires emerge to solve problems by
    purchasing products (Ummat &amp; Hayuningtyas, 2022). From this</p>
    <p>definition it can be inferred that purchasing decisions are
    consumers' actions to obtain and use something they want or need by
    comparing several alternatives. Several purchasing decision
    indicators according to Tjiptono (2020) include:</p>
    <list list-type="order">
      <list-item>
        <p>Identify Needs</p>
      </list-item>
      <list-item>
        <p>Information Search</p>
      </list-item>
      <list-item>
        <p>Evaluation of Alternatives</p>
      </list-item>
      <list-item>
        <p>Purchase and Consumption</p>
      </list-item>
      <list-item>
        <p>Post-purchase Evaluation</p>
      </list-item>
    </list>
  </sec>
  <sec id="brand-ambassador">
    <title>Brand Ambassador</title>
    <p>A brand ambassador is a figure who advocates for a commodity or
    firm, aiming to promote the commodity in a way that positively
    influences business outcomes (Osak &amp; Pasharibu, 2020). One thing
    that supports the formation of a product image is using someone who
    has an impact and can convey the product to consumers well, such as
    using brand ambassador. At its core, the effectiveness of a brand
    ambassador depends on their skill in implementing promotional
    strategies that build customer loyalty and persuade the audience to
    make more purchasing decisions. According to Lea-Greenwood (2013) in
    (Muthia &amp; Kusumahadi, 2023) indicators brand ambassador among
    others:</p>
    <list list-type="order">
      <list-item>
        <p>Transference</p>
      </list-item>
      <list-item>
        <p>Congruence</p>
      </list-item>
      <list-item>
        <p>Credibility</p>
      </list-item>
      <list-item>
        <p>Attractiveness</p>
      </list-item>
      <list-item>
        <p>Power</p>
      </list-item>
    </list>
  </sec>
  <sec id="brand-trust">
    <title>Brand Trust</title>
    <p>The main factor in choosing a product is that consumers feel
    confident in something brand. This level of trust can have a major
    effect on the company, because a brand that has been well built will
    be able to gain widespread trust from the public. While consumers
    consistently purchase products to meet their needs, their choices
    and decision-making processes are strongly influenced by their
    perceptions and feelings toward the brand (Maulana &amp; Marista,
    2021). Brand trust is a consumer's belief before buying a product,
    which involves looking for information related to the product being
    purchased. Indicator brand trust stated by Fatih Geçti &amp;
    Hayrettin Zengin (2013) in (Budhi Setiyawan, 2021) include:</p>
    <list list-type="order">
      <list-item>
        <p>I trust this brand</p>
      </list-item>
      <list-item>
        <p>This brand is safe</p>
      </list-item>
      <list-item>
        <p>This is an honest brand</p>
      </list-item>
    </list>
  </sec>
  <sec id="electronic-word-of-mouth">
    <title>Electronic Word Of Mouth</title>
    <p>Electronic Word of Mouth (eWOM) pertains to the digital evolution
    of traditional word-of-mouth (WOM) promotion, adapted to the modern
    technological era. It involves publicly shared opinions or reviews
    by prospective, existing, or former customers regarding a product or
    service, which can be accessed widely through electronic platforms
    or social media (Kristiawan &amp; Keni, 2020). According to
    Muninggar &amp; Rahmadini (2022), eWOM has a strong and</p>
    <p>effective influence on consumer buying decisions, offering
    advantages such as lower costs, faster dissemination, and greater
    effectiveness compared to traditional WOM. This method of
    communication plays a crucial role in helping consumers gather
    information about product and service quality. Moreover, the
    stronger the eWOM exposure, the greater the influence on consumers'
    purchasing decisions. According to Febiyanti &amp; Aqmala (2022) the
    indicators for this variable are:</p>
    <list list-type="order">
      <list-item>
        <p>Information</p>
      </list-item>
      <list-item>
        <p>Knowledge</p>
      </list-item>
      <list-item>
        <p>Answer</p>
      </list-item>
      <list-item>
        <p>Reliability</p>
      </list-item>
    </list>
  </sec>
  <sec id="hypothesis-development">
    <title>Hypothesis Development</title>
    <p>Ummat &amp; Hayuningtias (2022) explored the affect of product
    high-quality, brand ambassador and rate perceptions on buying
    decisions with research outcomes pointing out that brand ambassador
    sizable have an effect on on purchasing decisions. As defined by
    Rahma &amp; Setiawan (2022) brand ambassador considered a
    representative of a brand or product. There is brand ambassador can
    improve or develop a product so that it becomes more widely known by
    the public in various circles. This observation is in line with a
    public figure named Paula Verhoeven who is brand ambassador
    MakeOver. Having many followers and influencing consumers in
    purchasing products and showing the use of Makeover products and
    providing convincing testimonials, consumers generally feel more
    confident about their purchasing decisions. In addition, their
    activity on social media helps consumers easily discover the newest
    products, promotions or usage tutorials, which speeds up the
    purchasing decision making process.</p>
    <p><bold>H1</bold> : Brand Ambassador has a significant influence on
    purchasing decisions for MakeOver cosmetic products</p>
    <p>Pramezwary (2021) examines how sales promotions and brand trust
    affect buying choices, and the research findings suggest that brand
    trust has a substantial impact on those decisions. Brand trust,
    according to Rahma &amp; Setiawan (2022), is a customer's conviction
    acquired through seeking information about a product prior to making
    a purchase. With MakeOver products, a consumer is more likely to buy
    the item the more they trust the brand. This is because brand trust
    indicates that customers view Make Over's products as high quality,
    dependable, and honest.</p>
    <p><bold>H2</bold> : Brand Trust has a significant influence on
    purchasing decisions for</p>
  </sec>
  <sec id="makeover-cosmetic-products">
    <title>MakeOver cosmetic products</title>
    <p>Yulindasari &amp; Fikriyah (2022), explore the influence of e-wom
    on purchasing decisions with the research results concluding that
    electronic word of mout influence purchasing decisions. This
    research is in line with the definition according to Apriastuti
    (2022) electronic word of mouth is more powerful than traditional
    word of mouth in offline interactions, because of accessibility
    greater and higher reach to which consumers use the media internet
    with the aim of sharing their own experiences with a brand, product
    or service</p>
    <p>that they have experienced themselves. In the context of MakeOver
    products, reviews, testimonials and recommendations spread on social
    media, blogs and e- commerce platforms can shape consumer
    perceptions of the brand and product quality. When choosing what to
    buy, consumers often trust the reviews of other users.</p>
    <p><bold>H3</bold> : Electronic Word Of Mouth has a significant
    influence on purchasing decisions for MakeOver cosmetic products</p>
    <graphic mimetype="image" mime-subtype="png" xlink:href="vertopal_8d3a49fc93f54210946b6c7d2f58ee1e/media/image4.png" />
  </sec>
  <sec id="figure-2.-thinking-framework">
    <title>Figure 2. Thinking Framework</title>
    <disp-quote>
      <p><italic>Source: data processed by researchers
      (2025)</italic></p>
    </disp-quote>
  </sec>
</sec>














<sec>
  <title>METHODOLOGY</title>
  <sec id="types-of-research">
    <title>Types of Research</title>
    <p>This research employs a quantitative approach supported by
    primary data collection. Data were gathered by distributing online
    questionnaires via Google Forms. The questionnaire items were
    designed by translating the indicators of each variable into a
    series of clear and concise statements. To measure respondents’
    opinions, a Likert scale was used, providing five response options:
    strongly agree (score 5), agree (score 4), neutral (score 3),
    disagree (score 2), and strongly disagree (score 1). This scale
    allows for capturing the intensity of respondents’ attitudes toward
    each statement, facilitating the quantitative analysis of the
    variables under study.</p>
  </sec>
  <sec id="population-and-sample">
    <title>Population and Sample</title>
    <p>The subjects of this study consisted of female students who have
    used MakeOver cosmetic products, drawn from three prominent
    universities in Purwokerto: University Muhammadiyah Purwokerto,
    State Islamic University Prof. K.H. Saifuddin Zuhri, and Wijaya
    Kusuma University. These universities were selected due to their
    diverse student populations and significant representation in the
    local academic community. To determine the appropriate sample size,
    the Slovin formula was applied, resulting in a total of 100
    respondents who met the criteria and whose data were subsequently
    analyzed for this research. The respondents were selected using
    purposive sampling, focusing specifically on female students who had
    purchased MakeOver products at least once, ensuring the relevance
    and reliability of the data collected.</p>
    <disp-quote>
      <p>Table 1. Population and Sample Size</p>
    </disp-quote>
    <table-wrap>
      <label>Table 1. Population and Sample Size</label>
      <table>
        <thead>
          <tr>
            <th align="left" valign="top">University</th>
            <th align="center" valign="top">Population</th>
            <th align="center" valign="top">Sample</th>
          </tr>
        </thead>
        <tbody>
          <tr>
            <td align="left" valign="top">Universitas Muhammadiyah Purwokerto</td>
            <td align="center" valign="top">14,341 Students</td>
            <td align="center" valign="top">48 Students</td>
          </tr>
          <tr>
            <td align="left" valign="top">State Islamic University Prof. K.H. Saifuddin Zuhri</td>
            <td align="center" valign="top">13,753 Students</td>
            <td align="center" valign="top">35 Students</td>
          </tr>
          <tr>
            <td align="left" valign="top">Wijaya Kusuma University</td>
            <td align="center" valign="top">353 Students</td>
            <td align="center" valign="top">17 Students</td>
          </tr>
          <tr>
            <td align="left" valign="top"/>
            <td align="center" valign="top">28,447 Students</td>
            <td align="center" valign="top">100 Students</td>
          </tr>
        </tbody>
      </table>
      <table-wrap-foot>
        <fn>
          <p>Source: data processed by researchers (2025)</p>
        </fn>
      </table-wrap-foot>
    </table-wrap>
  </sec>
  <sec id="data-analysis">
    <title>Data Analysis</title>
    <p>IBM SPSS Statistics 25, which includes multiple components such
    as validity and reliability tests, traditional assumption tests for
    normalcy, and testing for multicollinearity and heteroscedasticity,
    was used to analyze the data in this study. Multiple linear
    regression, t-tests, F-tests, and the coefficient of determination
    (adjusted R2) test are also included in the analysis.</p>
  </sec>
  <sec id="questionnaire-instruments">
    <title>Questionnaire Instruments</title>
    <disp-quote>
      <p><italic>Brand Ambassador (X1)</italic></p>
    </disp-quote>
    <p>According to Kotler and Keller (2016), a Brand Ambassador is an
    advertising supporter, also known as a product spokesperson,
    selected from celebrities or ordinary individuals who possess an
    attractive appearance or personality to capture consumers' attention
    and memory.</p>
    <disp-quote>
      <p>Table 2. Statement</p>
    </disp-quote>
    <table-wrap>
      <label>Table 2. Statement</label>
      <table>
        <thead>
          <tr>
            <th align="center" rowspan="2" valign="top">No</th>
            <th align="center" rowspan="2" valign="top">Statement</th>
            <th align="center" colspan="5" valign="top">Answer</th>
          </tr>
          <tr>
            <th align="center" valign="top">STS<break/>(1)</th>
            <th align="center" valign="top">TS<break/>(2)</th>
            <th align="center" valign="top">N<break/>(3)</th>
            <th align="center" valign="top">S<break/>(4)</th>
            <th align="center" valign="top">SS<break/>(5)</th>
          </tr>
        </thead>
        <tbody>
          <tr>
            <td align="center" valign="top">1</td>
            <td align="left" valign="top">In my opinion, Paula Verhoeven is capable of promoting MakeOver products through her profession.</td>
            <td/>
            <td/>
            <td/>
            <td/>
            <td/>
          </tr>
          <tr>
            <td align="center" valign="top">2</td>
            <td align="left" valign="top">In my opinion, Paula Verhoeven is suitable to be a Brand Ambassador for MakeOver products.</td>
            <td/>
            <td/>
            <td/>
            <td/>
            <td/>
          </tr>
          <tr>
            <td align="center" valign="top">3</td>
            <td align="left" valign="top">In my opinion, Paula Verhoeven has the ability to effectively convey information about MakeOver products.</td>
            <td/>
            <td/>
            <td/>
            <td/>
            <td/>
          </tr>
          <tr>
            <td align="center" valign="top">4</td>
            <td align="left" valign="top">In my opinion, Paula Verhoeven can influence her fans to follow her lifestyle through her personal appeal.</td>
            <td/>
            <td/>
            <td/>
            <td/>
            <td/>
          </tr>
          <tr>
            <td align="center" valign="top">5</td>
            <td align="left" valign="top">In my opinion, Paula Verhoeven is able to influence consumer perceptions of MakeOver products.</td>
            <td/>
            <td/>
            <td/>
            <td/>
            <td/>
          </tr>
        </tbody>
      </table>
    </table-wrap>
  </sec>
  <sec id="brand-trust-x2">
    <title>Brand Trust (X2)</title>
    <p>According to Pramezwary et al. (2021), as cited in Kusumastuti et
    al. (2022), a buyer who has used or purchased a product and then
    imitates it can indicate that the product’s quality is assured and
    fosters trust in the product.</p>
    <p>Table 3. Brand Trust X2</p>
    <table-wrap>
      <label>Table 3. Brand Trust X2</label>
      <table>
        <thead>
          <tr>
            <th align="center" rowspan="2" valign="top">No</th>
            <th align="center" rowspan="2" valign="top">Statement</th>
            <th align="center" colspan="5" valign="top">Answer</th>
          </tr>
          <tr>
            <th align="center" valign="top">STS<break/>(1)</th>
            <th align="center" valign="top">TS<break/>(2)</th>
            <th align="center" valign="top">N<break/>(3)</th>
            <th align="center" valign="top">S<break/>(4)</th>
            <th align="center" valign="top">SS<break/>(5)</th>
          </tr>
        </thead>
        <tbody>
          <tr>
            <td colspan="7" valign="top">I Trust This Brand</td>
          </tr>
          <tr>
            <td align="center" valign="top">1</td>
            <td align="left" valign="top">I believe that MakeOver products have a good reputation.</td>
            <td/>
            <td/>
            <td/>
            <td/>
            <td/>
          </tr>
          <tr>
            <td align="center" valign="top">2</td>
            <td align="left" valign="top">I believe that MakeOver products provide value that is proportional to their price.</td>
            <td/>
            <td/>
            <td/>
            <td/>
            <td/>
          </tr>
          <tr>
            <td colspan="7" valign="top">This Brand Is Safe</td>
          </tr>
          <tr>
            <td align="center" valign="top">1</td>
            <td align="left" valign="top">I believe that MakeOver products are safe to use.</td>
            <td/>
            <td/>
            <td/>
            <td/>
            <td/>
          </tr>
          <tr>
            <td align="center" valign="top">2</td>
            <td align="left" valign="top">I believe that MakeOver provides clear and accurate information regarding the safety of its products.</td>
            <td/>
            <td/>
            <td/>
            <td/>
            <td/>
          </tr>
          <tr>
            <td colspan="7" valign="top">This Is An Honest Brand</td>
          </tr>
          <tr>
            <td align="center" valign="top">1</td>
            <td align="left" valign="top">The consistency of MakeOver in maintaining the quality of its products is highly assured.</td>
            <td/>
            <td/>
            <td/>
            <td/>
            <td/>
          </tr>
          <tr>
            <td align="center" valign="top">2</td>
            <td align="left" valign="top">I am confident that MakeOver can produce reliable products.</td>
            <td/>
            <td/>
            <td/>
            <td/>
            <td/>
          </tr>
        </tbody>
      </table>
    </table-wrap>
  </sec>
  <sec id="electronic-word-of-mouth-x3">
    <title>Electronic Word of Mouth (X3)</title>
    <p>According to Kotler and Armstrong (2012), as cited in
    Yuliandasari and Fikriyah (2022), Electronic Word of Mouth (eWOM) is
    a marketing activity conducted through person-to-person
    communication, whether verbal, written, or via electronic
    communication tools connected to the internet, based on experiences
    with a product or service.</p>
    <disp-quote>
      <p>Table 4. <bold>Electronic Word of Mouth (X3)</bold></p>
    </disp-quote>
    <table-wrap>
      <label>Table 4. Electronic Word of Mouth (X3)</label>
      <table>
        <thead>
          <tr>
            <th align="center" rowspan="2" valign="top">No</th>
            <th align="center" rowspan="2" valign="top">Statement</th>
            <th align="center" colspan="5" valign="top">Answer</th>
          </tr>
          <tr>
            <th align="center" valign="top">STS<break/>(1)</th>
            <th align="center" valign="top">TS<break/>(2)</th>
            <th align="center" valign="top">N<break/>(3)</th>
            <th align="center" valign="top">S<break/>(4)</th>
            <th align="center" valign="top">SS<break/>(5)</th>
          </tr>
        </thead>
        <tbody>
          <tr>
            <td align="center" valign="top">1</td>
            <td align="left" valign="top">I often share my experiences with MakeOver products with friends or family through social media.</td>
            <td/>
            <td/>
            <td/>
            <td/>
            <td/>
          </tr>
          <tr>
            <td align="center" valign="top">2</td>
            <td align="left" valign="top">I am interested in purchasing MakeOver products based on recommendations from others.</td>
            <td/>
            <td/>
            <td/>
            <td/>
            <td/>
          </tr>
          <tr>
            <td align="center" valign="top">3</td>
            <td align="left" valign="top">I feel more confident buying MakeOver products after learning about them by reading reviews from other consumers.</td>
            <td/>
            <td/>
            <td/>
            <td/>
            <td/>
          </tr>
          <tr>
            <td align="center" valign="top">4</td>
            <td align="left" valign="top">On their social media accounts, MakeOver frequently provides information about their latest and best content.</td>
            <td/>
            <td/>
            <td/>
            <td/>
            <td/>
          </tr>
          <tr>
            <td align="center" valign="top">5</td>
            <td align="left" valign="top">Negative reviews make me hesitant to purchase MakeOver products.</td>
            <td/>
            <td/>
            <td/>
            <td/>
            <td/>
          </tr>
        </tbody>
      </table>
    </table-wrap>
  </sec>
  <sec id="purchase-decision-y">
    <title>Purchase Decision (Y)</title>
    <p>According to Tjiptono (2015), a purchasing decision is the
    initial step when an individual receives a stimulus (thought,
    action, or motivation) that drives them to consider buying a
    particular good or service.</p>
    <disp-quote>
      <p>Table 5. Purchase Decision (Y)</p>
    </disp-quote>
    <table-wrap>
      <label>Table 5. Purchase Decision (Y)</label>
      <table>
        <thead>
          <tr>
            <th align="center" rowspan="2" valign="top">No</th>
            <th align="center" rowspan="2" valign="top">Statement</th>
            <th align="center" colspan="5" valign="top">Answer</th>
          </tr>
          <tr>
            <th align="center" valign="top">STS<break/>(1)</th>
            <th align="center" valign="top">TS<break/>(2)</th>
            <th align="center" valign="top">N<break/>(3)</th>
            <th align="center" valign="top">S<break/>(4)</th>
            <th align="center" valign="top">SS<break/>(5)</th>
          </tr>
        </thead>
        <tbody>
          <tr>
            <td align="center" valign="top">1</td>
            <td align="left" valign="top">I purchase MakeOver products based on my needs.</td>
            <td/>
            <td/>
            <td/>
            <td/>
            <td/>
          </tr>
          <tr>
            <td align="center" valign="top">2</td>
            <td align="left" valign="top">I seek information about MakeOver products before making a purchase.</td>
            <td/>
            <td/>
            <td/>
            <td/>
            <td/>
          </tr>
          <tr>
            <td align="center" valign="top">3</td>
            <td align="left" valign="top">I evaluate MakeOver products before making a purchasing decision.</td>
            <td/>
            <td/>
            <td/>
            <td/>
            <td/>
          </tr>
          <tr>
            <td align="center" valign="top">4</td>
            <td align="left" valign="top">I make the decision to buy MakeOver products after going through these stages.</td>
            <td/>
            <td/>
            <td/>
            <td/>
            <td/>
          </tr>
          <tr>
            <td align="center" valign="top">5</td>
            <td align="left" valign="top">I feel satisfied with MakeOver products and intend to make repeat purchases in the future.</td>
            <td/>
            <td/>
            <td/>
            <td/>
            <td/>
          </tr>
        </tbody>
      </table>
    </table-wrap>
  </sec>
</sec>













<sec>
  <title>RESEARCH RESULTS</title>
  <sec id="respondent-characteristics">
    <title>Respondent Characteristics</title>
    <p>From the distribution of questionnaires, data was collected for
    100 respondents. Then, after the data is processed, the demographic
    information of the respondents is known which is used as a basis for
    understanding the characteristics of the respondents.</p>
    <disp-quote>
      <p>Table 6<bold>.</bold> Characteristics of Respondents</p>
    </disp-quote>
    <table-wrap>
      <label>Table 6. Characteristics of Respondents</label>
      <table>
        <thead>
          <tr>
            <th align="left" valign="top">Information</th>
            <th align="center" valign="top">Number of people)</th>
            <th align="center" valign="top">Percentage (%)</th>
          </tr>
        </thead>
        <tbody>
          <tr>
            <td colspan="3" valign="top"><b>Age :</b></td>
          </tr>
          <tr>
            <td align="left" valign="top">&lt;18 – 20 years</td>
            <td align="center" valign="top">46</td>
            <td align="center" valign="top">46%</td>
          </tr>
          <tr>
            <td align="left" valign="top">21 – 24 years</td>
            <td align="center" valign="top">48</td>
            <td align="center" valign="top">48%</td>
          </tr>
          <tr>
            <td align="left" valign="top">&gt;25 years</td>
            <td align="center" valign="top">6</td>
            <td align="center" valign="top">6%</td>
          </tr>
          <tr>
            <td colspan="3" valign="top"><b>University :</b></td>
          </tr>
          <tr>
            <td align="left" valign="top">University Muhammadiyah Purwokerto</td>
            <td align="center" valign="top">48</td>
            <td align="center" valign="top">48%</td>
          </tr>
          <tr>
            <td align="left" valign="top">State Islamic University Prof. K.H. Saifuddin Zuhri</td>
            <td align="center" valign="top">35</td>
            <td align="center" valign="top">35%</td>
          </tr>
          <tr>
            <td align="left" valign="top">Wijaya Kusuma University</td>
            <td align="center" valign="top">17</td>
            <td align="center" valign="top">17%</td>
          </tr>
          <tr>
            <td colspan="3" valign="top"><b>Pocket money :</b></td>
          </tr>
          <tr>
            <td align="left" valign="top">&lt;Rp.1,000,000</td>
            <td align="center" valign="top">33</td>
            <td align="center" valign="top">33%</td>
          </tr>
          <tr>
            <td align="left" valign="top">Rp.1,000,000 – 2,000,000</td>
            <td align="center" valign="top">56</td>
            <td align="center" valign="top">56%</td>
          </tr>
          <tr>
            <td align="left" valign="top">&gt;Rp.2,000,000</td>
            <td align="center" valign="top">11</td>
            <td align="center" valign="top">11%</td>
          </tr>
          <tr>
            <td colspan="3" valign="top"><b>Duration of Use:</b></td>
          </tr>
          <tr>
            <td align="left" valign="top">&lt;1 years</td>
            <td align="center" valign="top">55</td>
            <td align="center" valign="top">55%</td>
          </tr>
          <tr>
            <td align="left" valign="top">1–2 years</td>
            <td align="center" valign="top">23</td>
            <td align="center" valign="top">23%</td>
          </tr>
          <tr>
            <td align="left" valign="top">&gt;2 years</td>
            <td align="center" valign="top">22</td>
            <td align="center" valign="top">22%</td>
          </tr>
        </tbody>
      </table>
      <table-wrap-foot>
        <fn>
          <p>Source: data processed by researchers (2025)</p>
        </fn>
      </table-wrap-foot>
    </table-wrap>
    <p>So it can be seen that the respondents who tend to fill out
    questionnaires are aged 21-24 years. The university that fills out
    the most questionnaires is Muhammadiyah University Purwokerto with
    an allowance of Rp. 1,000,000 – Rp. 2,000,000 and length of use of
    MakeOver products &lt;1 year.</p>
  </sec>
  <sec id="validity-test-and-reliability-test">
    <title>Validity Test and Reliability Test</title>
    <p>The purpose of this test is to determine if the statement items
    are appropriate and suitable for implementation (Yulindasari &amp;
    Fikriyah, 2022). The questionnaire is considered valid if the value
    is sign. &lt; 0.05 and whether the data is reliable or not can be
    measured from the Cronbach Alpha value. If the Cronbach Alpha value
    is &gt; 0.60, it means the variable is considered reliable.</p>
    <disp-quote>
      <p>Table 3. Results of Validity Test and Reliability Test</p>
    </disp-quote>
    <table-wrap>
      <label>Table 3. Results of Validity Test and Reliability Test</label>
      <table>
        <thead>
          <tr>
            <th align="left" valign="top">Item</th>
            <th align="center" valign="top">Corelation Total</th>
            <th align="center" valign="top">Sig.</th>
            <th align="center" valign="top">Cronbach's Alpha</th>
          </tr>
        </thead>
        <tbody>
          <tr>
            <td align="left" valign="top">Brand Ambassador (X1)</td>
            <td/>
            <td/>
            <td align="center" valign="top">0,832</td>
          </tr>
          <tr>
            <td align="left" valign="top">BA.1</td>
            <td align="center" valign="top">0,755</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">BA.2</td>
            <td align="center" valign="top">0,694</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">BA.3</td>
            <td align="center" valign="top">0,548</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">BA.4</td>
            <td align="center" valign="top">0,762</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">BA.5</td>
            <td align="center" valign="top">0,685</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">BA.6</td>
            <td align="center" valign="top">0,750</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">BA.7</td>
            <td align="center" valign="top">0,733</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">Brand Trust (X2)</td>
            <td/>
            <td/>
            <td align="center" valign="top">0,741</td>
          </tr>
          <tr>
            <td align="left" valign="top">BT.1</td>
            <td align="center" valign="top">0,329</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">BT.2</td>
            <td align="center" valign="top">0,466</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">BT.3</td>
            <td align="center" valign="top">0,563</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">BT.4</td>
            <td align="center" valign="top">0,702</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">BT.5</td>
            <td align="center" valign="top">0,553</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">BT.6</td>
            <td align="center" valign="top">0,610</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">BT.7</td>
            <td align="center" valign="top">0,651</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">BT.8</td>
            <td align="center" valign="top">0,587</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">BT.9</td>
            <td align="center" valign="top">0,593</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">Electronic Word Of Mouth (X3)</td>
            <td/>
            <td/>
            <td align="center" valign="top">0,712</td>
          </tr>
          <tr>
            <td align="left" valign="top">EWOM.1</td>
            <td align="center" valign="top">0,647</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">EWOM.2</td>
            <td align="center" valign="top">0,743</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">EWOM.3</td>
            <td align="center" valign="top">0,493</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">EWOM.4</td>
            <td align="center" valign="top">0,639</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">EWOM.5</td>
            <td align="center" valign="top">0,567</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">EWOM.6</td>
            <td align="center" valign="top">0,501</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">EWOM.7</td>
            <td align="center" valign="top">0,663</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">Purchase Decision (Y)</td>
            <td/>
            <td/>
            <td align="center" valign="top">0,717</td>
          </tr>
          <tr>
            <td align="left" valign="top">PD.1</td>
            <td align="center" valign="top">0,575</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">PD.2</td>
            <td align="center" valign="top">0,508</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">PD.3</td>
            <td align="center" valign="top">0,636</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">PD.4</td>
            <td align="center" valign="top">0,655</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">PD.5</td>
            <td align="center" valign="top">0,593</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">PD.6</td>
            <td align="center" valign="top">0,679</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
          <tr>
            <td align="left" valign="top">PD.7</td>
            <td align="center" valign="top">0,617</td>
            <td align="center" valign="top">0,00</td>
            <td/>
          </tr>
        </tbody>
      </table>
      <table-wrap-foot>
        <fn>
          <p>Source: data processed by researchers (2025)</p>
        </fn>
      </table-wrap-foot>
    </table-wrap>
    <p>According to the test results shown in the table, all variables
    show significance values below 0.05, and each variable has a
    Cronbach's Alpha score equal to or greater than 0.70. The data
    appears to be both reliable and valid, as indicated by the
    results.</p>
  </sec>
  <sec id="classic-assumption-test">
    <title>Classic Assumption Test</title>
    <disp-quote>
      <p><italic>Normality Test</italic></p>
    </disp-quote>
    <p>The normality of the data can be assessed by examining the
    significance value; if it exceeds 0.05, the data is considered to be
    normally distributed (Ghozali, 2018). In this research, using One
    Sample Kolmogorov-Sminorv. Normality test results processed with IBM
    SPPS version 25 can be reviewed in table 4 below:</p>
    <p>Table 7 Normality Test Results</p>
    <table-wrap>
      <label>Table 7. Normality Test Results</label>
      <caption>
        <title>One Sample-Kolmogorov-Smirnov</title>
      </caption>
      <table>
        <thead>
          <tr>
            <th align="left" colspan="2" valign="top"/>
            <th align="center" valign="top">Unstandardized Residual</th>
          </tr>
        </thead>
        <tbody>
          <tr>
            <td align="left" colspan="2" valign="top">N</td>
            <td align="center" valign="top">100</td>
          </tr>
          <tr>
            <td align="left" rowspan="3" valign="top">Normal Parameters<sup>a, b</sup></td>
            <td align="left" valign="top">Mean</td>
            <td align="center" valign="top">0,0000000</td>
          </tr>
          <tr>
            <td align="left" valign="top">Std. Deviation</td>
            <td align="center" valign="top">0,98473193</td>
          </tr>
          <tr>
            <td/>
            <td/>
          </tr>
          <tr>
            <td align="left" rowspan="3" valign="top">Most Extreme Differences</td>
            <td align="left" valign="top">Absolute</td>
            <td align="center" valign="top">0,077</td>
          </tr>
          <tr>
            <td align="left" valign="top">Positive</td>
            <td align="center" valign="top">0,033</td>
          </tr>
          <tr>
            <td align="left" valign="top">Negative</td>
            <td align="center" valign="top">–0,077</td>
          </tr>
          <tr>
            <td align="left" colspan="2" valign="top">Test Statistic</td>
            <td align="center" valign="top">0,077</td>
          </tr>
          <tr>
            <td align="left" colspan="2" valign="top">Asymp. Sig. (2-tailed)</td>
            <td align="center" valign="top">0,157<sup>c</sup></td>
          </tr>
        </tbody>
      </table>
      <table-wrap-foot>
        <fn>
          <p>Source: data processed by researchers (2025)</p>
        </fn>
      </table-wrap-foot>
    </table-wrap>
    <p>From the SPSS result, the significance value obtained is 0.157
    &gt; 0.05. This indicates that the residuals are normally
    distributed.</p>
  </sec>
    <sec id="heteroscedasticity-test">
      <title>Heteroscedasticity Test</title>
      <p>The Glejser test analyzes the significance values to determine
      whether heteroscedasticity is present. The absence of
      heteroscedasticity is indicated if the significance value is
      greater than 0.05. Conversely, heteroscedasticity is present when
      the significance value is less than 0.05. The absence of
      heteroscedasticity in the model is confirmed by the significance
      values over 0.05 for each independent variable, as indicated in
      Table 5.</p>
      <disp-quote>
        <p>Table 8. Heteroscedasticity Test Results</p>
        <p><bold>Item <underline>Coefficient </underline></bold></p>
      </disp-quote>
      <table-wrap>
        <label>Table 8. Heteroscedasticity Test Results</label>
        <table>
          <thead>
            <tr>
              <th align="left" rowspan="2" valign="top">Item</th>
              <th align="center" colspan="2" valign="top">Coefficient</th>
            </tr>
            <tr>
              <th align="center" valign="top">B</th>
              <th align="center" valign="top">Sig.</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td align="left" valign="top">(Constant)</td>
              <td align="center" valign="top">3,467</td>
              <td align="center" valign="top">0,002</td>
            </tr>
            <tr>
              <td align="left" valign="top">Brand Ambassador</td>
              <td align="center" valign="top">–0,063</td>
              <td align="center" valign="top">0,154</td>
            </tr>
            <tr>
              <td align="left" valign="top">Brand Trust</td>
              <td align="center" valign="top">–0,007</td>
              <td align="center" valign="top">0,853</td>
            </tr>
            <tr>
              <td align="left" valign="top">Electronic Word Of Mouth</td>
              <td align="center" valign="top">–0,024</td>
              <td align="center" valign="top">0,624</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p>Source: data processed by researchers (2025)</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
    </sec>
    <sec id="multicollinearity-test">
      <title>Multicollinearity Test</title>
      <p>The purpose of this test is to evaluate whether the independent
      variables in the regression model are highly correlated.
      Multicollinearity is absent when the VIF is less than 10 and the
      tolerance value is above 0.10, (Ghozali, 2018).</p>
      <disp-quote>
        <p>Table 9<bold>.</bold> Multikolinearitay Test</p>
        <p><bold>Item <underline>Collinearity Statistics
        </underline></bold></p>
      </disp-quote>
      <table-wrap>
        <label>Table 9. Multikolinearity Test</label>
        <table>
          <thead>
            <tr>
              <th align="left" rowspan="2" valign="top">Item</th>
              <th align="center" colspan="2" valign="top">Collinearity Statistics</th>
            </tr>
            <tr>
              <th align="center" valign="top">Tolerance</th>
              <th align="center" valign="top">VIF</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td align="left" valign="top">Brand Ambassador</td>
              <td align="center" valign="top">0,383</td>
              <td align="center" valign="top">2,613</td>
            </tr>
            <tr>
              <td align="left" valign="top">Brand Trust</td>
              <td align="center" valign="top">0,563</td>
              <td align="center" valign="top">1,776</td>
            </tr>
            <tr>
              <td align="left" valign="top">Electronic Word Of Mouth</td>
              <td align="center" valign="top">0,354</td>
              <td align="center" valign="top">2,825</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p>Source: data processed by researchers (2025)</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>Because all the values obtained for each variable are &lt;10
      and the tolerance value is &gt;0.10, the data used does not
      experience multicollinearity.</p>
    </sec>
    <sec id="multiple-linear-regression-analysis">
      <title>Multiple Linear Regression Analysis</title>
      <disp-quote>
        <p>Table 7. Results of Multiple Linear Regression Analysis</p>
      </disp-quote>
      <table-wrap>
        <label>Table 7. Results of Multiple Linear Regression Analysis</label>
        <table>
          <thead>
            <tr>
              <th align="left" rowspan="2" valign="top">Item</th>
              <th align="center" colspan="3" valign="top">Coefficient</th>
            </tr>
            <tr>
              <th align="center" valign="top">B</th>
              <th align="center" valign="top">t</th>
              <th align="center" valign="top">Sig.</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td align="left" valign="top">(Constant)</td>
              <td align="center" valign="top">2,949</td>
              <td align="center" valign="top">1,615</td>
              <td align="center" valign="top">0,110</td>
            </tr>
            <tr>
              <td align="left" valign="top">Brand Ambassador</td>
              <td align="center" valign="top">0,154</td>
              <td align="center" valign="top">2,124</td>
              <td align="center" valign="top">0,036</td>
            </tr>
            <tr>
              <td align="left" valign="top">Brand Trust</td>
              <td align="center" valign="top">0,421</td>
              <td align="center" valign="top">6,555</td>
              <td align="center" valign="top">0,000</td>
            </tr>
            <tr>
              <td align="left" valign="top">Electronic Word Of Mouth</td>
              <td align="center" valign="top">0,210</td>
              <td align="center" valign="top">2,589</td>
              <td align="center" valign="top">0,011</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p>Source: data processed by researchers (2025)</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>Whenever there are two or more independent variables,
      researchers use multiple linear regression to predict the state
      (increase or decrease) of the dependent variable. In addition to a
      single dependent variable, the multiple linear regression
      technique uses numerous independent variables. According to the
      results of the above table, the regression model for the three
      independent variables—brand ambassador, brand trust, and
      electronic word-of-mouth—can be explained as follows:</p>
    </sec>
</sec>
<sec id="y-2949-0154-x1-0421-x2-0210-x3">
  <title>Y = 2,949 + 0,154 X1 + 0,421 X2 + 0,210 X3</title>
  <sec id="hypothesis-testing">
    <title>Hypothesis Testing</title>
    <p>The primary purpose of the t-test is to determine how much each
    independent variable contributes individually contributes to
    explaining variations in the dependent variable (Ghozali, 2018).
    Table 7 presents the results of the analysis:</p>
    <p>The results reveal that the Brand Ambassador variable (X1)
    significantly influences the Purchasing Decision variable (Y) for
    MakeOver cosmetic products. The t-value obtained is 2.124, with a
    significance level of 0.036.</p>
    <p>In addition, the analysis shows that Brand Trust (X2) has a
    substantial effect on Purchasing Decisions (Y), with a t-value of
    6.555 and a significance level of 0.000. This indicates a strong
    influence of Brand Trust on consumer choices regarding MakeOver
    cosmetics.</p>
    <p>Lastly, the Electronic Word of Mouth variable (X3) also
    demonstrates a significant impact on Purchasing Decisions (Y), with
    a t-value of 2.589 and a significance value of 0.011, suggesting
    that eWOM Is a major factor in determining consumers' decisions to
    purchase MakeOver products.</p>
  </sec>
  <sec id="model-fit-test">
    <title>Model Fit Test</title>
    <p>This test is conducted to analyze whether the model is suitable
    and capable of accurately predicting the combined impact of the
    independent variables on the outcome variable. The findings confirm
    the fourth hypothesis, showing that brand ambassador, brand trust,
    and electronic word of mouth together have an effect on consumers’
    decisions to buy MakeOver cosmetic products. This conclusion is
    based on the F-value of 71.593, which exceeds the decision point of
    2.70, and a significance level of 0.000, which is below the model
    threshold of 0.05 (α), indicating that the model is statistically
    significant.</p>
  </sec>
  <sec id="adjusted-r-square">
    <title>Adjusted R Square</title>
    <p>The percentage of the dependent variable's change that can be
    accounted for by the independent variables is measured by the
    coefficient of determination. Greater ability of the independent
    variables to explain changes in the dependent variable is indicated
    by a higher value of this coefficient. As per the analysis carried
    out using SPSS version 25, the Adjusted R Square value came out to
    be 0.681, or 68%. This suggests that 68% of the factors affecting
    decisions to buy MakeOver cosmetics may be explained by brand
    ambassadors, brand trust, and electronic word-of-mouth combined.
    Other elements including discounts, price, promotions, and other
    variables that were not considered in this study account for the
    remaining 32%.</p>
  </sec>
</sec>











<sec>
  <title>DISCUSSION</title>
  <sec id="relationship-influence-brand-ambassador-to-the-purchase-decision">
    <title>Relationship Influence Brand Ambassador to the Purchase
    Decision</title>
    <p>Test results regarding influence brand ambassador in terms of
    purchasing decisions, a significant association exists between brand
    ambassador with purchasing decisions that are categorized as good
    relationships. In partial hypothesis testing, the t value is
    obtained brand ambassador amounting to 2.124 is higher than the t
    table (1.984), and the significance value is 0.036 smaller than</p>
    <p>0.05. Therefore the first hypothesis states brand ambassador has
    a significant influence on the decision to purchase MakeOver
    cosmetic products. These results further support the similarity of
    the conclusions obtained previously by Julianto et al., (2022) that
    variable brand ambassador has a significant influence on consumer
    purchasing decisions. When someone brand ambassador promoting
    MakeOver products, consumers generally feel more assured when making
    a purchase because they consider a recommendation from someone they
    like or trust to be more credible. This is supported by the theory
    according to Kotler and Keller (2022) This indicates that a brand
    ambassador serves as a promotional figure or product spokesperson,
    selected either from well-known public figures or individuals with
    appealing appearances, with the goal of capturing consumers'
    attention and leaving a lasting impression. If brand ambassador has
    a positive image and is in line with consumer desires, they can more
    easily build</p>
    <p>a sense of trust in MakeOver products. Besides, because brand
    ambassador are often seen using the product, this makes consumers
    feel that the product is suitable and worth buying. Overall, brand
    ambassador helps strengthen MakeOver's the image of the brand in
    consumers minds, resulting in their more likely to choose the
    product when they want to buy cosmetics. Brand ambassador plays a
    role in advertising to provide product information and encourage
    consumers to make purchasing decisions. The results of this study do
    not align with previous research conducted by Dewi A, (2024) which
    showed that Brand Ambassadors do not have a significant influence on
    purchase decisions. This discrepancy may be due to the widespread
    penetration of social media and the abundance of information
    available today, which allows consumers to access various sources of
    information from other factors, thereby reducing the relative
    influence of Brand Ambassadors.</p>
  </sec>
  <sec id="relationship-influence-brand-trust-to-the-purchase-decision">
    <title>Relationship Influence Brand Trust to the Purchase
    Decision</title>
    <p>The test results show a significant and positive relationship
    between brand trust and purchasing decisions. Based on partial
    hypothesis testing, the t- value for brand trust is 6.555, which
    exceeds the critical t-table value of 1.984, and the significance
    level is 0.000, which is below the 0.05 threshold. Therefore, the
    second hypothesis is accepted, confirming that brand trust has a
    significant impact on consumers' decisions to purchase MakeOver
    cosmetic products. The results of this research are supported by
    Lombok &amp; Samadi, (2022) that variables brand trust significant
    influence on purchasing decisions. In general, brand trust refers to
    the perception of consumer trust in the quality of a brand,
    reliability and commitment to the promised value. These beliefs can
    influence how consumers view and choose MakeOver products compared
    to other brands, as well as influence their loyalty to the brand.
    This is supported by theory according to Tjiptono (2019) which
    concludes that brand trust is the belief that a brand has the
    ability to deliver on what it promises, act consistently, and be
    reliable over the long term. When brand trust is firmly established,
    it can significantly influence consumer purchasing decisions and
    foster high-value, long-term relationships. The results of this
    study do not align with the findings of Ali et al., (2019) which
    showed that brand trust does not have a significant effect on
    purchase decisions. This is because consumers have not previously
    used the product or have not had positive experiences with it;
    therefore, brand trust may not be firmly established and does not
    influence purchase decisions.</p>
  </sec>
  <sec id="relationship-influence-electronic-word-of-mouth-to-the-purchase-decision">
    <title>Relationship Influence Electronic Word of Mouth to the
    Purchase Decision</title>
    <p>Test results regarding influence electronic word of mouth on
    purchasing decisions shows that there is a significant relationship
    between electronic word of mouth with purchasing decisions that are
    categorized as good relationships. In partial hypothesis testing,
    the t value is obtained brand ambassador amounting to 2.589 is
    higher than the t table (1.984), and the significance value is</p>
    <p>0.011 smaller than 0.05. Therefore the second hypothesis states
    brand trust has a significant influence on the decision to purchase
    MakeOver cosmetic products the results of this study align with
    Anton et al., (2024), who assert that electronic word of mouth
    affects purchasing decisions. This is backed up by theory</p>
    <p>according to Kotler &amp; Keller (2022) which explains that
    electronic word of mouth is a form of viral marketing that leverages
    the internet to generate an online word-of-mouth effect, encouraging
    consumers to spread information about products or services through
    audio, video and writing. Electronic word of mouth can encourage new
    customers to try goods or services recommended by others. When
    consumers read positive experiences from other users about the
    quality of Makeover products, such as durability or satisfying
    results, they tend to feel more certain about their purchase
    decisions. The results of this study do not align with the findings
    of Fajriyah &amp; Karnowati, (2022) which showed that electronic
    word of mouth does not have a significant effect on purchase
    decisions. This is because consumers tend to rely more on personal
    experiences or direct recommendations from close acquaintances
    rather than information from anonymous electronic word of mouth
    sources.</p>
  </sec>
  <sec id="relationship-influences-brand-ambasador-brand-trust-electronic-word-of-mouth-to-the-purchase-decision">
    <title>Relationship influences Brand Ambasador, Brand Trust,
    Electronic Word of Mouth to the Purchase Decision</title>
    <p>Purchasing decisions are strongly affected by brand ambassador,
    brand trust, and electronic word of mouth. This is supported by an
    F-count of 71.593, which is greater than 2.70, indicating that these
    factors play a significant role in influencing consumer decisions.
    Consumers who use MakeOver typically take brand ambassador, brand
    trust, and electronic word of mouth into account when deciding what
    to purchase. Overall, the three variables brand ambasador, brand
    trust, electronic word of mouth collaborate to strengthen the appeal
    and credibility of Makeover products among female students. When
    brand ambassador relevant promotion of Makeover products, increased
    trust in the brand, and support from positive reviews through
    electronic word of mouth increasingly convincing consumers to buy
    the product. Thus, Makeover was able to leverage these three factors
    to improve purchasing decisions and create stronger relationships
    with their target market.</p>
  </sec>
</sec>










<sec>
   <title>CONCLUSIONS AND RECOMMENDATIONS</title>
  <p>In accordance with the analysis and interpretation provided
  earlier, the following it can be concluded that from this study: 1)
  Brand Ambassadors have a notable impact on purchasing decisions, 2)
  Brand Trust significantly influences purchasing decisions, 3)
  Electronic Word of Mouth (e-WOM) has a significant effect on
  purchasing decisions, and 4) Together, Brand Ambassadors, Brand Trust,
  and Electronic Word of Mouth all have a substantial influence on
  purchasing decisions. As such, the hypotheses proposed by the
  researcher are within the acceptable range, confirming that the
  independent variables (X) significantly affect the dependent variable
  (Y).</p>
</sec>










<sec>
  <title>ADVANCED RESEARCH</title>
  <p>This study has a limitation, specifically that the sample size used
  is relatively small and was only carried out in one particular area or
  group. Researchers suggest that further research can get maximum
  results so that it can use a wider and larger population. Apart from
  that, you can also use or even add other variables such as discounts,
  free shipping, product design, brand image,</p>
  <p>brand awarness, brand experience, sales promotion, brand
  performance. This research helps marketers and brand managers
  understand the importance of using these three variables to build
  stronger relationships with young consumers. Apart from that, the
  findings of this study further add to enriching marketing literature,
  especially in the context of cosmetic products that utilize digital
  power and the influence of social media. Understanding the factors
  that drive purchasing decisions allows brands such as MakeOver can
  create more impactful and pertinent campaigns, while also enhancing
  their how the brand is viewed by consumers.</p>
</sec>












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