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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 Analytics</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.v4i3.15167</article-id>
      <title-group>
        <article-title>The Influence of Workload, Job Satisfaction, and Work Environment on the Work Productivity of Nurses at PKU Muhammadiyah Aghisna Kroya Hospital</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Putri</surname>
            <given-names>Mustikaningrum Dewanti</given-names>
          </name>
          <aff>Muhammadiyah University of Purwokerto</aff>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Purnadi</surname>
          </name>
          <aff>Muhammadiyah University of Purwokerto</aff>
          <email>Tugaspurnadi@gmail.com</email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Astuti</surname>
            <given-names>Herni Justiana</given-names>
          </name>
          <aff>Muhammadiyah University of Purwokerto</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Endratno</surname>
            <given-names>Hermin</given-names>
          </name>
          <aff>Muhammadiyah University of Purwokerto</aff>
        </contrib>
      </contrib-group>
      <pub-date pub-type="epub">
        <day>28</day>
        <month>07</month>
        <year>2025</year>
      </pub-date>
      <history>
        <date date-type="received">
          <day>10</day>
          <month>06</month>
          <year>2025</year>
        </date>
        <date date-type="rev-recd">
          <day>26</day>
          <month>06</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>28</day>
          <month>07</month>
          <year>2025</year>
        </date>
      </history>
      <volume>4</volume>
      <issue>3</issue>
      <fpage>1495</fpage>
      <lpage>1510</lpage>
      <abstract>
        <p>This study aims to analyze the influence of workload, job satisfaction, and work environment on the work productivity of nurses at PKU Muhammadiyah Aghisna Kroya General Hospital. Using a quantitative approach, questionnaires were distributed to all 120 nurses. Data analysis techniques included validity and reliability testing, classical assumptions, multiple linear regression, and F and t tests. The results show that workload has a positive and significant effect on nurses' productivity, while job satisfaction and work environment do not have significant effects. These findings indicate that well-managed workloads can enhance productivity, but perceived satisfaction and work environment alone are insufficient to directly drive performance. The study supports the Social System Theory (SST) perspective, highlighting complex interactions between individuals and their environment in influencing work productivity. It provides important implications for hospital management in designing strategies to increase productivity through effective workload management.</p>
      </abstract>
      <kwd-group>
        <kwd>Workload</kwd>
        <kwd>Job Satisfaction</kwd>
        <kwd>Work Environment</kwd>
        <kwd>Work Productivity</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>Health is a key indicator of successful development in a country.
  The 2005– 2025 RPJPK (National Medium-Term Development Plan) states
  that developing the health sector requires a healthy society, a clean
  environment, access to good and equitable health services, and a
  strong health system (Ministry of Health, 2020). Human resources are
  an important part of running health services. According to Hidayat et
  al., (2022) Human resources are an asset to every organization,
  encompassing individuals who dedicate their talents, skills,
  knowledge, and commitment to achieving goals. Good human resources are
  crucial because they enable people to think, innovate, and adapt.
  Therefore, the success or failure of an organization depends on how it
  manages and develops its employees.</p>
  <p>According toNopitasari et al., (2025) Human resources (HR) are
  individuals who work productively and drive an organization, whether
  in an institution or a company. Because they are considered important
  assets, their skills must be trained and developed. Hospitals provide
  comprehensive healthcare services, serving inpatients, outpatients,
  and emergencies (Kurniasari et al., 2024). Hospital accreditation is
  an acknowledgement that services meet standards, after being assessed
  and declared to comply with applicable provisions (Budi, et al.,
  2024). Hospital categorization is a way of dividing hospitals into
  several classes based on how complete their services, equipment, and
  medical personnel are (Triyono et al., 2025).</p>
  <p>PKU Muhammadiyah Aghisna Kroya General Hospital is one of the
  important health facilities serving the community in Kroya, Cilacap
  Regency, Central Java. Strategically located at Jl. Yos Sudarso No. 1,
  Karangmangu, Kroya District, Cilacap Regency, Central Java 53282, this
  hospital was formerly known as Aghisna Medika Kroya Hospital before
  being officially acquired by the Muhammadiyah Association in June
  2023. Under Muhammadiyah management, PKU Muhammadiyah Aghisna Kroya
  General Hospital is committed to continuously improving the quality of
  services, expanding the reach of services, and becoming a health
  service center based on Islamic values, supported by a significant
  increase in patient visits since the acquisition. Based on an
  interview with the Head of Information Resources (SDI), Personnel
  Ujiyanti (2025), it was found that there was a backlog of patients and
  waiting times were considered less than optimal. Therefore, it is
  hoped that all employees can have maximum work productivity.</p>
  <p>Yamang et al., (2025) assumes that work productivity means the
  ability to utilize resources optimally to achieve maximum results. If
  a hospital is unproductive, its services may be suboptimal. As a
  result, patients will be disappointed and choose to seek treatment
  elsewhere (Afiqah et al., 2024a). Based on an interview with the Head
  of Human Resources and Personnel (2025), it was reported that there is
  still a significant decline in nurse productivity. This condition can
  impact the organization's Sustainable Growth Rate (SGR), as workforce
  productivity is a key factor in maintaining sustainable growth in the
  healthcare sector.</p>
  <p>The first factor affecting work productivity is workload. Workload
  can impact employee productivity and well-being. However, if the
  workload feels too heavy, performance can decline (Ilmi et al., 2024).
  If the workload is too heavy, performance can decline. For example, if
  many employees have to work overtime, or if there are not enough staff
  in some departments, they have to work extra hours, especially when
  serving patients. Furthermore, overtime pay doesn't match the hard
  work. All of this results in less than optimal work output (Trisnawaty
  et al., 2020).</p>
  <p>Based on an interview with the Head of Human Resources and
  Personnel (2025), it was stated that the workload experienced by
  nurses at PKU Muhammadiyah Hospital included the fact that nurses have
  a large task and must minimize errors in their work so that all work
  can be completed. This study is supported byHendrayani (2021),Dakunde
  et al., (2024),Novitatas et al., (2023), workload has a significant
  positive effect on work productivity, whereasSaputra et al,
  (2022)AndBaskoro et. al, (2021), workload does not impact work
  productivity.</p>
  <p>The second factor that influences productivity is job
  satisfaction.Amalia et al, (2024)Job satisfaction is an employee's
  feelings about their work, especially if the salary they receive does
  not meet their expectations. It also includes relationships with
  coworkers, and the appropriateness of their wages and benefits, both
  physically and mentally (Zaelani et al., 2024). Based on interviews
  with the Head of the Information Resources (SDI) Division, Personnel
  (2025), complaints from nurses regarding high workloads were
  identified. This condition has the potential to reduce nurses'
  effectiveness in providing services to patients, which can ultimately
  impact the overall quality of healthcare services. This study is
  supported byMarani et al., (2025)AndPuspitasari et al., (2024), job
  satisfaction has a significant positive impact on work productivity.
  Meanwhile, Haekal, F. (2016), job satisfaction has no effect on work
  productivity.</p>
  <p>According toEchor et al., (2022) defines the work environment as
  the environment in which people work, taking into account the
  conditions and characteristics of their work. The work environment
  includes all the equipment and materials encountered, as well as where
  individuals work, how they work, and the resulting impacts (Yolanda,
  2024). Based on an interview with the Head of the Human Resources
  Information (SDI) Personnel Division (2025), it was stated that the
  work environment is still less conducive, such as the limited
  availability of work facilities. This study is supported byAruperes et
  al., (2022) and Mardikaningsih et al., (2022), the work environment
  has a positive effect on work productivity. Meanwhile, Saleh, AR,
  &amp; Utomo, H. (2018), the work environment has no effect on work
  productivity.</p>
  <p>The novelty of this study is the addition of an independent
  variable, namely the work environment, which has not been done by
  other researchers Afiqah et al., (2024,b), Zaelani et al., (2024) and
  Puspitasari et al., (2024)Given this phenomenon, it is important to
  re-examine the extent of these variables' influence on work
  productivity. Therefore, this study is entitled &quot;The Effect of
  Workload, Job Satisfaction, and Work Environment on the Work
  Productivity of Nurses at PKU Muhammadiyah Aghisna Kroya
  Hospital.&quot;</p>
</sec>












<sec>
  <title>LITERATURE REVIEW</title>
  <sec id="social-system-theory">
    <title>Social System Theory</title>
    <p>Social Systems Theory is an approach in organizational behavior
    that views organizations as open systems consisting of interacting
    and mutually influencing social elements. Katz and Kahn (1978)
    stated that organizations are not merely formal structures, but
    rather complex social systems in which individuals, groups, and the
    external environment play a role in maintaining the organization's
    balance and sustainability.</p>
    <p>As an open system, an organization receives input from the
    external environment—such as human resources, information, and
    technology—which is then processed internally into outputs, such as
    products, services, and employee behavior. This process is dynamic
    and requires feedback mechanisms to ensure the system can adapt to
    change and continue to function optimally (Katz &amp; Kahn,
    1978).</p>
    <p>In the context of healthcare organizations such as hospitals, the
    interaction between workload, job satisfaction, and the work
    environment is an integral part of the social system that influences
    the final outcome, namely nurse productivity. When workloads are
    excessive without the support of a conducive work environment or
    adequate levels of satisfaction, this can disrupt system stability
    and reduce productivity (Robbins &amp; Judge, 2017).</p>
    <p>This theory also emphasizes the importance of adaptation and
    internal balance, requiring organizations to continually adjust to
    external conditions and the needs of individuals within the
    organization. A mismatch between employee expectations and actual
    organizational conditions can create systemic tension that leads to
    decreased individual and collective performance (Luthans, 2011).</p>
    <p>Thus, based on social systems theory, nurses' work productivity
    is influenced by complex interactions between individuals and their
    environment. Therefore, a holistic, systems-based managerial
    approach is essential in efforts to improve work effectiveness in
    hospital settings.</p>
  </sec>
  <sec id="work-productivity">
    <title>Work Productivity</title>
    <p>Employee work productivity, which emphasizes that when employees
    receive adequate support from the organization, both emotionally and
    materially, this increases overall productivity and results in
    better work (K et al., 2024) When productivity elements function
    well, work productivity tends to increase, positively impacting
    overall organizational performance. Conversely, if there are
    obstacles or a lack of support, productivity can decline, resulting
    in suboptimal work results and reduced employee job satisfaction.
    (DPP Sari et al., 2022) Factors that influence work productivity
    include workload, workplace atmosphere, and incentives. All of these
    are necessary for employees to perform better and for the hospital
    to achieve its goals. (Dian Kurniasari et al., 2024). The indicators
    that influence productivity are as follows: Self-Ability, Work
    Spirit, Improved Results, Self-Development, Quality and Efficiency
    (Dakunde &amp; Yusuf, 2024).</p>
  </sec>
  <sec id="workload">
    <title>Workload</title>
    <p>If the workload is managed well and not excessive, work results
    can be maximized, in SST theory shows organizations and individuals
    as part of an interacting system: a high workload creates pressure
    on the system that triggers stress and reduces productivity, unless
    mitigation is carried out at the system level such as social
    support, compensation, redistribution of tasks (Husmiati., 2018). If
    the nurse's work schedule is arranged with a good rotation system,
    the workload becomes lighter. Nurses can have enough rest time, work
    more productively, and provide better service to patients
    (Darmasari, 2022). Ismartaya et al., (2023) Workload is influenced
    by various factors. Externally, it includes physical tasks, how the
    organization is structured, and the work environment. Internally, it
    is influenced by the employee's gender, age, health, motivation, and
    job satisfaction. Workload is typically measured by three factors:
    how physically demanding the work is, how much mental effort is
    involved, and how tight the timeframe is (Dakunde et al., 2024).</p>
  </sec>
  <sec id="job-satisfaction">
    <title>Job satisfaction</title>
    <p>Job satisfaction arises when someone feels happy with their work,
    for example, from praise, recognition, a comfortable environment,
    and fair treatment. Employees who enjoy their work tend to complete
    tasks well, although salary is also important (Haris, 2023). Amalia
    et al., (2024) Job satisfaction is how employees evaluate their
    jobs, usually based on the difference between the salary or
    compensation they receive and what they expect from the job. Job
    satisfaction in an organization is determined by several factors;
    some of the most important are: Working conditions. A comfortable
    workplace is usually quiet, well-lit, at the right temperature, with
    good air circulation, and a clean and spacious room (Gomathy, 2022).
    Job satisfaction is influenced by many things, such as salary,
    promotion opportunities, type of work, superiors, coworkers,
    security, company rules, communication, responsibility, recognition,
    achievement, and opportunities for growth (Puspitasari et al.,
    2024).</p>
  </sec>
  <sec id="work-environment">
    <title>Work environment</title>
    <p>According toEchor et al., (2022) defines a work environment as
    the environment in which people work, taking into account the
    circumstances and characteristics of their work. Employees who feel
    comfortable and have access to adequate resources tend to be more
    focused and efficient in completing tasks. Conversely, an
    unsupportive environment, such as a negative atmosphere and lack of
    communication, can hinder performance and reduce productivity
    (Sasono et al., 2024). A positive work environment, such as
    supportive coworkers, comprehensive facilities, a healthy work
    culture, and encouraging leadership, can make employees more
    motivated and productive. However, the challenge lies in combining
    all of this with an honest, fair, and open performance appraisal
    system. (Gulo et al., 2025). Solwan et al., (2024) environmental
    indicators: air temperature, coloring, lighting, and noise.</p>
  </sec>
  <sec id="the-effect-of-workload-on-work-productivity">
    <title>The Effect of Workload on Work Productivity</title>
    <p>A well-managed workload can maximize work productivity, while SST
    theory suggests that perceived support from the organization will
    strengthen employees' ability to cope with the workload, thus
    contributing positively to their performance and work results
    (Afiqah et al., 2024b).</p>
    <p>However, the results of this study were rejected by Falin, FM,
    &amp; Suwarsi, S. (2025), Fhauzan, RF, &amp; Ali, H. (2024), (Ilmi
    et al., 2024), and the workload had a significant negative effect on
    work productivity, meaning that a balanced workload could actually
    increase productivity to get less than optimal results, which was
    caused by the nurse's poor ability to manage time and resources
    well, so that the work atmosphere would become more conducive, then
    increase satisfaction and commitment to their duties but not
    significantly. So, it was concluded that:</p>
    <disp-quote>
      <p><bold>H1: Workload has a significant effect on work
      productivity.</bold></p>
    </disp-quote>
  </sec>
  <sec id="the-influence-of-job-satisfaction-on-work-productivity">
    <title>The Influence of Job Satisfaction on Work
    Productivity</title>
    <p>When employees feel supported and appreciated by their workplace,
    they typically become satisfied. This satisfaction makes them
    enthusiastic, creative, and collaborative, ultimately increasing
    productivity (Cahya, 2024). Satisfied employees tend to be more
    engaged, more creative, and more willing to collaborate, all of
    which contribute to increased productivity. The same study by
    (Wahyuni &amp; Pratiwi, 2024) And (Puspitasari &amp; Wijayanto,
    2024) where job satisfaction has a significant positive effect on
    work productivity.</p>
    <disp-quote>
      <p><bold>H2: Job satisfaction has a significant effect on work
      productivity.</bold></p>
    </disp-quote>
  </sec>
  <sec id="work-environment-on-work-productivity">
    <title>Work Environment on Work Productivity</title>
    <p>A positive and supportive environment, according to SST theory,
    can increase work productivity, because when they feel emotionally
    supported and receive the necessary resources, they tend to be more
    motivated and committed to achieving optimal results (Kamal et al.,
    2023). Workplace conditions, both physical and mental, significantly
    influence productivity. A comfortable atmosphere and complete
    facilities make employees more enthusiastic and focused on their
    work. Therefore, a conducive work environment is vital for
    motivating employee productivity. A previous study byAruperes et
    al., (2022) and Mardikaningsih et al., (2022), the work environment
    has a significant positive effect on work productivity.</p>
    <disp-quote>
      <p><bold>H3: The work environment has a significant influence on
      work productivity.</bold></p>
    </disp-quote>
  </sec>
</sec>













<sec>
  <title>METHODOLOGY</title>
  <p>This study uses a quantitative method, sampling using a saturated
  sampling technique, all people in the population are used as samples
  (Sugiyono, 2018). The sampling technique uses purposive sampling,
  which is based on certain criteria desired by the researcher
  (Sugiyono, 2018). The sample criteria used for the respondents were
  nurses. The study population consisted of 224 employees, consisting of
  124 medical and medical support services and 120 nursing services.</p>
  <p>The population that will be sampled in this study is the nursing
  service sector, totaling 120 nurses. Nurses were chosen as a sample
  because they are the medical personnel who most often interact
  directly with patients and have working hours. In addition, nurses are
  a professional group with a significant number in the hospital,
  allowing researchers to obtain an adequate sample size for statistical
  analysis. Sampling used a questionnaire distributed directly to PKU
  Muhammadiyah Aghisna Medika Kroya Hospital. Sample measurement uses a
  Likert Scale. The tests that will be carried out are descriptive
  statistical tests, validity tests, reliability tests, classical
  assumption tests, multiple linear regression tests, determination
  tests, F tests, t tests.</p>
  <disp-quote>
    <p><bold>Figure 1. Conceptual Framework</bold></p>
  </disp-quote>
</sec>













<sec>
  <title>RESEARCH RESULT</title>
  <p>This study employed a quantitative method with a saturated sampling
  technique, meaning the entire population was sampled. The sample size
  was 120 nurses at Aghisna Kroya Hospital. Data were analyzed using
  statistical tests (descriptive, validity, reliability, classical
  assumption tests, multiple linear regression tests, and F and t
  tests). The aim was to examine the influence of independent variables
  on the dependent variable, both partially and simultaneously. For
  comparison, the Slovin formula was used to determine the sample size
  with a 5% margin of error, resulting in 120,279 participants, rounded
  up to 120 respondents.</p>
  <sec id="respondent-description">
    <title>Respondent Description</title>
    <disp-quote>
      <p>Table 1. Respondent Description</p>
    </disp-quote>
    <table-wrap>
      <label>Table 1. Respondent Description</label>
      <table>
        <thead>
          <tr>
            <th align="center" rowspan="2">No.</th>
            <th align="center" rowspan="2">Category</th>
            <th align="center" colspan="2">Characteristics</th>
            <th align="center" rowspan="2">Frequency</th>
            <th align="center" rowspan="2">Presentation</th>
          </tr>
          <tr>
            <th/>
            <th/>
          </tr>
        </thead>
        <tbody>
          <tr>
            <td align="center"></td>
            <td align="left">Gender</td>
            <td align="left" colspan="2">Man</td>
            <td align="center">45</td>
            <td align="center">37.5%</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td align="left"></td>
            <td align="left" colspan="2">Woman</td>
            <td align="center">75</td>
            <td align="center">62.5%</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td align="left">Age</td>
            <td align="left" colspan="2">17 – 25</td>
            <td align="center">22</td>
            <td align="center">18.3%</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td align="left"></td>
            <td align="left" colspan="2">26 – 34</td>
            <td align="center">69</td>
            <td align="center">57.5%</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td align="left"></td>
            <td align="left" colspan="2">35 – 43</td>
            <td align="center">25</td>
            <td align="center">20.8%</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td align="left"></td>
            <td align="left" colspan="2">44 – 52</td>
            <td align="center">4</td>
            <td align="center">3.3%</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td align="left">Education</td>
            <td align="left" colspan="2">D3/D4</td>
            <td align="center">65</td>
            <td align="center">54.2%</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td align="left"></td>
            <td align="left" colspan="2">S1</td>
            <td align="center">17</td>
            <td align="center">14.2%</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td align="left"></td>
            <td align="left" colspan="2">Nursing Profession</td>
            <td align="center">38</td>
            <td align="center">31.7%</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td align="left">Status</td>
            <td align="left" colspan="2">Not married yet</td>
            <td align="center">48</td>
            <td align="center">40%</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td align="left">Marry</td>
            <td align="left" colspan="2"></td>
            <td align="center">72</td>
            <td align="center">60%</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td align="left">Length of working</td>
            <td align="left" colspan="2">&lt;5 Years</td>
            <td align="center">78</td>
            <td align="center">65.0%</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td align="left"></td>
            <td align="left" colspan="2">5 - 10 Years</td>
            <td align="center">34</td>
            <td align="center">28.3%</td>
          </tr>
          <tr>
            <td align="center"></td>
            <td align="left"></td>
            <td align="left" colspan="2">11 - 20 Years</td>
            <td align="center">8</td>
            <td align="center">6.7%</td>
          </tr>
        </tbody>
      </table>
    </table-wrap>
    <p>Based on the characteristics of the respondents, the majority of
    nurses were female, reflecting the dominance of women in the nursing
    profession, which is synonymous with caring and providing healthcare
    services. In terms of age, most were between 26 and 34 years old,
    which is a productive and active age group in the workforce. The
    most common education attained was D3/D4, indicating that vocational
    education remains the primary choice for nurses in completing formal
    education. Most respondents were married, in line with their age,
    which is generally entering the family phase. Meanwhile, the most
    dominant length of service was less than 5 years, indicating that
    many of them were new workers or were in the early stages of career
    development in hospitals.</p>
  </sec>
  <sec id="descriptive-statistical-test">
    <title>Descriptive Statistical Test</title>
    <p>Based on the SPSS output table above, the number of respondents
    (N) is 120, the lowest mean value for each variable is 4.01, the
    standard deviation is 0.415, which has a good mean meaning, so it
    can be concluded that:</p>
    <list list-type="order">
      <list-item>
        <p>Work Productivity has a mean value of 4.07 which means the
        mean agrees so that the implication is that the productivity
        that is already running must be maintained.</p>
      </list-item>
      <list-item>
        <p>Workload has a mean value of 4.01 which means agree. The
        implication is that the existing workload in the workplace is in
        accordance with the nurses' abilities so it must be
        maintained.</p>
      </list-item>
      <list-item>
        <p>Job Satisfaction has a mean value of 4.07 which means mean
        agree. The implication is that job satisfaction that has
        occurred in the workplace must be maintained.</p>
      </list-item>
    </list>
    <p>The work environment has a mean value of 4.03, meaning the mean
    is agree. The implication is that the existing work environment in
    the workplace must be maintained.</p>
  </sec>
  <sec id="validity-test">
    <title>Validity Test</title>
    <p>The test function determines whether each questionnaire item can
    be used. The reference r-value in the table is 0.1793. After
    testing, all questions for each variable have a calculated r-value
    &gt; r-value in the table, meaning all questions in the
    questionnaire are considered valid and suitable for use. If all
    questionnaire statements are declared valid, it can be used for the
    next testing step, namely the reliability test.</p>
  </sec>
  <sec id="reliability-test">
    <title>Reliability Test</title>
    <p>This test was conducted on all respondents by comparing the
    Cronbach's Alpha value to its standard limit, which is 0.60. If the
    value is &gt;0.60, the item is considered reliable. In this study,
    all variables had Cronbach's Alpha values</p>
    <p>&gt;0.60. Therefore, all were considered reliable and could
    proceed to the next test.</p>
  </sec>
  <sec id="normality-test">
    <title>Normality Test</title>
    <p>This test aims to determine whether the data is normally
    distributed. The result is a Sig (2-tailed) value of 0.126 &gt;
    0.05. This means the data is considered normal and can proceed to
    the next test.</p>
  </sec>
  <sec id="multicollinearity-test">
    <title>Multicollinearity Test</title>
    <p>This test aims to determine whether the independent variables are
    strongly correlated in the regression model. If so, the regression
    results will be inaccurate. The Tolerance test results for Workload,
    Job Satisfaction, and Work Environment were &gt;0.10, and the VIF
    values for Workload, Job Satisfaction, and Work Environment were
    &lt;10. This indicates there is no multicollinearity problem, and
    the analysis can proceed to the next test.</p>
  </sec>
  <sec id="heteroscedasticity-test">
    <title>Heteroscedasticity Test</title>
    <p>This test aims to check whether the residual data has a fixed or
    fluctuating distribution. The results showed that the significance
    values for Workload, Job Satisfaction, and Work Environment were
    &gt;0.05, indicating there were no heteroscedasticity issues in the
    model. Therefore, based on this analysis, we can proceed to the next
    stage, namely the multiple linear regression test.</p>
  </sec>
  <sec id="multiple-linear-regression-test">
    <title>Multiple Linear Regression Test</title>
    <disp-quote>
      <p>Table 2. Multiple Linear Regression Analysis</p>
    </disp-quote>
    <table-wrap>
      <label>Table 2. Multiple Linear Regression Analysis <bold>Coefficients<sup>a</sup></bold></label>
      <caption>
        <title><p><sup>a</sup>. Dependent Variable: WORK PRODUCTIVITY</p></title>
      </caption>
      <table>
        <thead>
          <tr>
            <th align="left" rowspan="2">Model</th>
            <th align="center" colspan="2">Unstandardized Coefficients</th>
            <th align="center" rowspan="2">Standardized Coefficients<break/>Beta</th>
            <th align="center" rowspan="2">t</th>
            <th align="center" rowspan="2">Sig.</th>
          </tr>
          <tr>
            <th align="center">B</th>
            <th align="center">Std. Error</th>
          </tr>
        </thead>
        <tbody>
          <tr>
            <td align="left">1 (Constant)</td>
            <td align="center">23.147</td>
            <td align="center">2.505</td>
            <td align="center"/>
            <td align="center">9.242</td>
            <td align="center">.000</td>
          </tr>
          <tr>
            <td align="left">WORKLOAD</td>
            <td align="center">.260</td>
            <td align="center">.071</td>
            <td align="center">.382</td>
            <td align="center">3.660</td>
            <td align="center">.000</td>
          </tr>
          <tr>
            <td align="left">JOB SATISFACTION</td>
            <td align="center">.072</td>
            <td align="center">.063</td>
            <td align="center">.116</td>
            <td align="center">1.140</td>
            <td align="center">.257</td>
          </tr>
          <tr>
            <td align="left">WORK ENVIRONMENT</td>
            <td align="center">.108</td>
            <td align="center">.058</td>
            <td align="center">.183</td>
            <td align="center">1.864</td>
            <td align="center">.066</td>
          </tr>
        </tbody>
      </table>
    </table-wrap>
    <p>From the table above, multiple linear regression analysis was
    used to determine the influence of the independent variables
    (workload, job satisfaction, and work environment) on the dependent
    variable (work productivity). Based on the results of the multiple
    linear regression analysis above, the following multiple regression
    equation model was obtained:</p>
    <p>Y =α+β1BK +β2KK +β3LK + e</p>
    <disp-quote>
      <p>Y = 23.147+0.260BK+0.072KK+0.108LK</p>
    </disp-quote>
    <list list-type="order">
      <list-item>
        <p>A constant value of 23.147 means that if the independent
        variable is zero, then the dependent variable is 23.147. In this
        study, if the influence of workload, job satisfaction, and work
        environment is 0 (zero), then the work productivity level is
        23.147%.</p>
      </list-item>
      <list-item>
        <p>The regression coefficient value of β1BK is 0.260, meaning
        that if the workload value on work productivity increases by 0.1
        units, the workload will increase by 0.260 units, assuming that
        other independent variables remain constant.</p>
      </list-item>
      <list-item>
        <p>The regression coefficient value of β2KK is 0.072, meaning
        that if the value</p>
      </list-item>
    </list>
    <p>of job satisfaction on work productivity increases by 0.1 units,
    then job</p>
    <p>satisfaction increases by 0.072 units assuming that other
    independent variables remain constant.</p>
    <p>The regression coefficient value of β3LK is 0.108, meaning that
    if the value of the work environment on work productivity increases
    by 0.1 units, then the work environment increases by 0.108 units,
    assuming that other independent variables remain constant.</p>
  </sec>
  <sec id="coefficient-of-determination-test">
    <title>Coefficient of Determination Test</title>
    <p>This function is used to determine the extent of the influence of
    independent variables on the dependent variable, one by one, while
    other variables are considered constant. From the
    &quot;Coefficients&quot; table in SPSS, the limit value is 0.1 to
    determine whether the effect is significant or not. This is in
    accordance with what was written by Schumm WR et al., (2013), which
    states that p &lt; 0.10 is considered a significant trend.
    Therefore, this model can explain the direction of significance by
    workload, job satisfaction, and work environment on work
    productivity, which results:</p>
    <disp-quote>
      <p>Table 3. Coefficient of Determination Test</p>
    </disp-quote>
    <table-wrap>
      <label>Table 3. Coefficient of Determination Test</label>
      <caption>
        <p>Level of Significance</p>
        <p>** 10% (0.1)</p>
        <p>*5%(0.05)</p>
      </caption>
      <table>
        <thead>
          <tr>
            <th align="center">Independent Variable</th>
            <th align="center">T count</th>
            <th align="center">T table</th>
            <th align="center">P &gt; | t |</th>
            <th align="center">Conclusion</th>
          </tr>
        </thead>
        <tbody>
          <tr>
            <td align="left">Workload (X1)</td>
            <td align="center">3,660</td>
            <td align="center">1,987</td>
            <td align="center">0.000</td>
            <td align="center">H1 accepted</td>
          </tr>
          <tr>
            <td align="left">Job Satisfaction (X2)</td>
            <td align="center">1,140</td>
            <td align="center">1,980</td>
            <td align="center">0.257</td>
            <td align="center">H2 is rejected</td>
          </tr>
          <tr>
            <td align="left">Work Environment (X3)</td>
            <td align="center">1,864</td>
            <td align="center"/>
            <td align="center">0.066</td>
            <td align="center">H3 is rejected</td>
          </tr>
        </tbody>
      </table>
    </table-wrap>
    <list list-type="order">
      <list-item>
        <p>Workload on work productivity. The t-table value is 1.987
        &gt; t-count 3.660. The sig value is 0.000 &lt; 0.05, meaning
        that workload has a significant effect on work productivity. H1
        is accepted.</p>
      </list-item>
      <list-item>
        <p>Job satisfaction on work productivity. The t-table value is
        1.980 &gt; t-count</p>
      </list-item>
    </list>
    <p>1.140. The sig value is 0.257 &gt; 0.05, meaning that job
    satisfaction has no impact on work productivity. H2 is rejected.</p>
    <list list-type="order">
      <list-item>
        <label>3.</label>
        <p>Work environment on work productivity. The t-table value is
        1.980 &gt; t-count 1.864. The sig value is 0.066 &gt; 0.05,
        meaning the work environment has no impact on work productivity.
        H3 is rejected.</p>
      </list-item>
    </list>
  </sec>
</sec>







<sec>
  <title>DISCUSSION</title>
  <sec id="the-effect-of-workload-on-work-productivity-1">
    <title>The Effect of Workload on Work Productivity</title>
    <p>Based on the results of the hypothesis test, workload has a
    significant impact on the productivity of employees at PKU
    Muhammadiyah Aghisna Kroya General Hospital. The results of the
    descriptive statistical test indicate that the workload in the
    workplace is in accordance with the nurses' abilities in serving
    patients. From the perspective of Social System Theory (Katz &amp;
    Kahn, 1978), organizations are viewed as open systems consisting of
    interconnected social elements, including individuals and their work
    environment. Workload is one of</p>
    <p>the inputs in this system that will affect the output in the form
    of work productivity. If the workload is too heavy and unbalanced
    with the nurses' abilities, it can disrupt the system's balance,
    cause stress, and reduce productivity. Conversely, an appropriate
    workload will support efficient work processes, maintain the
    stability of the organization's social system, and increase nurses'
    work productivity.</p>
    <p>If the workload is well designed, employees will be more
    enthusiastic, more focused, and their work results will be more
    optimal at Aghisna Kroya Hospital (Rianti et al., 2025). The results
    of this study are in line with Hendrayani (2021), Dakunde et al.,
    (2024), Novitatas et al., (2023), Ahmad et al., (2025), Wijayanthi
    et al., (2024), AndSiregar et al., (2025) said that workload has a
    significant impact on work productivity.</p>
  </sec>
  <sec id="the-influence-of-job-satisfaction-on-work-productivity-1">
    <title>The Influence of Job Satisfaction on Work
    Productivity</title>
    <p>From the results of the hypothesis test, job satisfaction does
    not impact the productivity of nurses at PKU Muhammadiyah Aghisna
    Hospital. The descriptive test shows that existing job satisfaction
    has been met according to their expectations. According to the
    Social System Theory of Katz and Kahn (1978), an organization is an
    open social system consisting of interacting elements, including
    individuals and the work environment. Job satisfaction plays a vital
    role in maintaining the balance of the system; when employees are
    satisfied, they tend to be more motivated and contribute optimally,
    thus increasing productivity. Conversely, dissatisfaction can
    disrupt the stability of the system and reduce performance. Thus,
    job satisfaction directly affects productivity within the framework
    of the organizational social system.</p>
    <p>This suggests that although nurses are satisfied with their work,
    other factors such as workload, time pressure, or organizational
    support may be more dominant in influencing their performance. The
    study's results align with Haekal, F. (2016), who found that job
    satisfaction had no significant effect on work productivity.</p>
  </sec>
</sec>









<sec>
  <title>CONCLUSIONS AND RECOMMENDATIONS</title>
  <p>Based on the analysis, it can be concluded that workload has a
  significant positive effect on work productivity. Job satisfaction and
  the work environment have no effect on productivity. This means that
  even if nurses are satisfied or in a comfortable environment, this
  satisfaction or comfort does not automatically translate into
  increased productivity without concrete and ongoing organizational
  support that enables them to optimize their performance.</p>
  <p>Based on the research results, it is recommended that PKU
  Muhammadiyah Aghisna Kroya General Hospital optimally manage nurses'
  workload through fair work schedules, a job rotation system,
  additional staff in crowded units, and time management training, as
  workload has been shown to significantly impact productivity. Although
  job satisfaction does not have a significant effect, the hospital
  still needs to improve this aspect by rewarding performance, providing
  career development opportunities, and creating open communication
  between nurses and superiors. Similarly, although the work environment
  is not statistically significant, improving work facilities,
  increasing room comfort, and</p>
  <p>efforts to build a positive work atmosphere are still important to
  support nurses' overall performance. These actions also have the
  potential to create a more positive work environment and support
  overall performance improvement.</p>
</sec>






<sec>
  <title>ADVANCED RESEARCH</title>
  <p>This study has limitations because it found that only workload
  significantly impacted productivity, while job satisfaction and work
  environment did not. Therefore, further research is needed to explore
  more complex relationships between variables, examining possible
  indirect influences and the role of mediating or moderating variables,
  which could provide a more comprehensive understanding of the factors
  influencing nurse productivity.</p>
</sec>







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