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  <front>
      <journal-meta>
            <journal-id journal-id-type="issn">2808-0718</journal-id>
            <journal-title-group>
                <journal-title>Indonesian Journal of Business Analytics (IJBA)</journal-title>
                <abbrev-journal-title>Indonesian Journal of Business Analytics (IJBA)</abbrev-journal-title>
            </journal-title-group>
            <issn pub-type="epub">2808-0718</issn>
            <issn pub-type="ppub">2808-0718</issn>
            <publisher>
                <publisher-name>Formosa Publisher</publisher-name>
                <publisher-loc>Jl. Sutomo Ujung No.28 D, Durian, Kecamatan Medan Timur, Kota Medan, Sumatera Utara 20235, Indonesia.</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.55927/ijba.v5i4.15265</article-id>
            <article-categories/>
            <title-group>
                <article-title>The Influence of Work-Life Balance, Job Stress, and Work Environment on Sustainable Employee Performance: The Mediating Role of Job Satisfaction</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <given-names>Fransiscus Agung Dono</given-names>
                        <surname>Mulyono</surname>
                    </name>
                    <address>
                        <email>agung.ppc@gmail.com</email>
                    </address>
                    <xref ref-type="corresp" rid="cor-0"/>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <given-names>M. Ali</given-names>
                        <surname>Iqbal</surname>
                    </name>
                </contrib>
            </contrib-group>
            <author-notes>
                <corresp id="cor-0">
                    <bold>Corresponding author: Fransiscus Agung Dono Mulyono</bold>
                    Email:<email>agung.ppc@gmail.com</email>
                </corresp>
            </author-notes>
            <pub-date-not-available/>
            <volume>5</volume>
            <issue>4</issue>
            <issue-title>The Influence of Work-Life Balance, Job Stress, and Work Environment on Sustainable Employee Performance: The Mediating Role of Job Satisfaction</issue-title>
            <fpage>3179</fpage>
            <lpage>3196</lpage>
            <history>
                <date date-type="received" iso-8601-date="2025-6-21">
                    <day>21</day>
                    <month>6</month>
                    <year>2025</year>
                </date>
                <date date-type="rev-recd" iso-8601-date="2025-7-23">
                    <day>23</day>
                    <month>7</month>
                    <year>2025</year>
                </date>
                <date date-type="accepted" iso-8601-date="2025-8-21">
                    <day>21</day>
                    <month>8</month>
                    <year>2025</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright© 2025 Formosa Publisher</copyright-statement>
                <copyright-holder>Formosa Publisher</copyright-holder>
                <license>
                    <ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://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 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri xlink:href="https://journal.formosapublisher.org/index.php/ijba" xlink:title="The Influence of Work-Life Balance, Job Stress, and Work Environment on Sustainable Employee Performance: The Mediating Role of Job Satisfaction">The Influence of Work-Life Balance, Job Stress, and Work Environment on Sustainable Employee Performance: The Mediating Role of Job Satisfaction</self-uri>
            <abstract>
                <p>This study investigates the influence of work-life 
                balance,  job  stress,  and  work  environment  on 
                sustainable  employee  performance  among  146 
                train  crew members  at PT Kereta Api Indonesia 
                (Persero). Using a quantitative approach and 
                Partial Least Squares Structural Equation 
                Modeling  (PLS-SEM),  this  study  examines  the 
                mediating role of job satisfaction in this 
                relationship.  The  findings  reveal  that  job  stress 
                and work environment are significant predictors 
                of sustainable performance, while work-life 
                balance operates indirectly. Job satisfaction 
                emerges as a critical mediator, fully transmitting 
                the effect of work-life balance and partially 
                mediating the effect of job stress on performance. 
                Specifically,  job  stress  is  the  strongest  negative 
                predictor of job satisfaction. These results 
                provide  crucial  managerial  insights,  suggesting 
                that mitigating job stress and enhancing job 
                satisfaction are key strategies for driving 
                sustainable  employee  performance  in  high-risk 
                operational roles.</p>
            </abstract>
            <kwd-group>
                <kwd>Sustainable Employee Performance</kwd>
                <kwd>Work-Life Balance</kwd>
                <kwd>Job Stress</kwd>
                <kwd>Work Environment</kwd>
                <kwd>Job Satisfaction</kwd>
                <kwd>PLS-SEM</kwd>
            </kwd-group>
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                    <meta-name>File created by JATS Editor</meta-name>
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                </custom-meta>
                <custom-meta>
                    <meta-name>issue-created-year</meta-name>
                    <meta-value>2025</meta-value>
                </custom-meta>
            </custom-meta-group>
      </article-meta>
  </front>
  <body>
    <sec id="pendahuluan">
      <title>PENDAHULUAN</title>
      <p>Human resources (HR) capital is a fundamental asset for
  organizational success, especially for State-Owned Enterprises (SOEs)
  that manage vital national infrastructure such as the transportation
  sector. PT Kereta Api Indonesia (Persero), or PT KAI, as the main
  national railway operator, heavily relies on the performance of its
  employees to ensure safe, efficient, and sustainable operations. The
  role of HR in an organization covers a wide spectrum, ranging from
  recruitment to career development, all aimed at creating a conducive
  work environment and enhancing productivity.</p>
      <p>However, internal data from UPT Crew KA Tarahan, Divre IV Tanjung
  Karang, indicates significant challenges related to employee
  performance. There was a decline in the number of employees rated as
  having &quot;Excellent&quot; performance, from 18 individuals in 2022
  to only 7 at the beginning of 2024. At the same time, the number of
  employees receiving a &quot;Fair&quot; rating emerged in 2023 and
  2024—categories that were previously nonexistent. This phenomenon is
  reinforced by high and fluctuating absenteeism data throughout 2024,
  peaking in July with a total of 383 absence cases due to illness,
  leave, and other reasons. The high rate of absenteeism not only
  indicates potential issues with employee well- being but also directly
  impacts the smooth operation of train services.</p>
      <p>The decline in peak performance and increased absenteeism is
  strongly suspected to stem from psychosocial factors in the workplace.
  A pre-survey involving 30 employees indicated issues with work-life
  balance, with 27 respondents (90%) reporting a lack of family time due
  to work, and 25 respondents (83%) frequently working overtime.
  Additionally, work stress emerged as a significant concern, with 22
  respondents (73%) feeling unsupported by their superiors and 21
  respondents (70%) experiencing tension with coworkers. Lastly, the
  work environment was also identified as an issue, with 29 respondents
  (97%) stating that cabin support facilities were inadequate.</p>
      <p>These conditions highlight a research gap in understanding the
  relationships among these variables. Previous studies have shown
  inconsistent results. For instance, the influence of work-life balance
  on employee performance was found to be negative and insignificant by
  Ardiansyah &amp; Surjanti (2020), but negative and significant by
  Lestari et al. (2024). Similarly, the impact of work stress was
  reported as positive and significant by Ignatius &amp; Al Rizki (2022)
  and Claudia Yosephine Simanjuntak et al. (2021), but positive and
  insignificant by Aniversari (2022) and Hasan Algani (2024). These
  inconsistencies highlight the need for further research to clarify
  these relationships in specific contexts.</p>
      <p>Therefore, this study contributes by examining a comprehensive
  mediation model to explain the dynamics of sustainable employee
  performance in a unique and high-pressure work environment, such as a
  state-owned railway operator in Indonesia. By analyzing the direct and
  indirect effects of work-life balance, work stress, and work
  environment through the mediation of job satisfaction, this research
  aims to provide deeper insights and relevant managerial
  recommendations to address performance decline and improve employee
  well-being at PT KAI.</p>
    </sec>
    <sec id="theoretical-review">
      <title>THEORETICAL REVIEW</title>
      <sec id="sustainable-employee-performance-y">
        <title>Sustainable Employee Performance (Y)</title>
        <p>Sustainable employee performance is defined as an employee’s
    ability to consistently deliver high-quality work over time while
    maintaining a satisfactory level of well-being (Ji et al., 2021).
    This concept goes beyond short-term performance measurement and
    emphasizes stability, adaptability, and the long-term contribution
    of employees to organizational goals without compromising their
    physical and mental health (Nur Fitriany &amp; Wulansari, 2024).
    Factors that influence it may include compensation, organizational
    support, and psychological conditions (Afda et al., 2023). Its
    measurement can be viewed through various dimensions such as
    quality, quantity, timeliness, independence, and work commitment
    (Saifullah, 2020).</p>
      </sec>
      <sec id="work-life-balance-x1">
        <title>Work-Life Balance (X1)</title>
        <p>Work-life balance (WLB) refers to a healthy equilibrium between
    the time and energy devoted to job responsibilities and personal
    life (Hartanto &amp; Nawangsari, 2024). It is the individual's
    ability to commit equally to both work and family roles (Lestari et
    al., 2024). A good WLB has been proven to increase employee
    satisfaction and loyalty while reducing the risk of burnout and
    turnover. Numerous studies support that effective WLB enhances
    employee performance (Ruslina Candra Putri, 2024; Mujahidin et al.,
    2023; Aisyah et al., 2023; Sulaeman et al., 2024; Kartini et al.,
    2023; Nurlaila et al., 2024; Mursham et al., 2022; Jauhar et al.,
    2022). Moreover, WLB has consistently shown a positive effect on job
    satisfaction (Maharani et al., 2023; Wirawan &amp; Sukmarani, 2023;
    Isa et al., 2024).</p>
        <p>Based on this review, the following hypotheses are proposed:</p>
        <p>H1: Work-Life Balance has a positive effect on Sustainable
    Employee Performance. H5: Work-Life Balance has a positive effect on
    Job Satisfaction.</p>
      </sec>
      <sec id="work-stress-x2">
        <title>Work Stress (X2)</title>
        <p>Work stress is a psychological and physical response that arises
    when job demands exceed an individual's capacity to cope (Salsabilla
    et al., 2023; Pulungan &amp; Wasiman, 2023). Its causes may stem
    from task demands, role conflicts, and leadership behavior (Afda et
    al., 2023; Sari et al., 2023). Poorly managed stress (distress) can
    negatively impact health, motivation, and performance (Prasetyani et
    al., 2021). A substantial body of research shows that high levels of
    work stress significantly reduce employee performance (Hermawan,
    2022; Nur Oktaviani &amp; Irmayanti, 2021; Pradoto et al., 2022;
    Fauziek &amp; Yanuar, 2021; Karim, 2022; Iskamto, 2021; Rijanto,
    2023). Furthermore, stress is also a strong predictor of job
    dissatisfaction (Adinata &amp; Turangan, 2023; Yuridha, 2022;
    Simarmata, 2021).</p>
        <p>Thus, the following hypotheses are formulated:</p>
        <p>H2: Work Stress has a negative effect on Sustainable Employee Performance. H6: Work Stress has a negative effect on Job Satisfaction.</p>
      </sec>
      <sec id="work-environment-x3">
        <title>Work Environment (X3)</title>
        <p>The work environment includes all physical and non-physical
    aspects surrounding employees that can affect task performance
    (Sunarsi et al., 2020; Mujahidin et al., 2023). Physical aspects
    involve layout, equipment, and facilities, while non-physical
    aspects include relationships with colleagues and supervisors, as
    well as organizational culture (Nurgianto &amp; Akbar, 2023).</p>
        <p>A conducive environment has been proven to be a key factor in
    enhancing performance (Kusuma et al., 2023; Annabawi, 2024; Bintari
    et al., 2023; Kama et al., 2024; Arbyan &amp; Riyanto, 2023;
    Pancasila et al., 2023; Suwanto, 2023; Ramadhan &amp; Defrizal,
    2024) and job satisfaction (RST et al., 2022; Ishar et al., 2024;
    Winata et al., 2022).</p>
        <p>Therefore, the following hypotheses are proposed:</p>
        <p>H3: Work Environment has a positive effect on Sustainable
    Employee Performance.</p>
        <p>H7: Work Environment has a positive effect on Job
    Satisfaction.</p>
      </sec>
      <sec id="job-satisfaction-z">
        <title>Job Satisfaction (Z)</title>
        <p>Job satisfaction is a positive emotional state resulting from an
    individual’s evaluation of their job (Hanawidjaya et al., 2022;
    Paparang et al., 2021). It is influenced by factors such as salary,
    promotion, supervision, and coworker relationships (Wirawan &amp;
    Sukmarani, 2023). Satisfied employees tend to be more motivated,
    productive, and loyal (Hutasoit &amp; Nawangsari, 2024). Job
    satisfaction has consistently been found to be a direct antecedent
    of improved performance (Wieyento, 2022). Additionally, job
    satisfaction often acts as a psychological mechanism explaining how
    other factors—such as WLB, stress, and work environment—affect
    performance. Job satisfaction mediates the relationship between WLB
    and performance (Fransiska &amp; Maksum, 2023; Priscilla, 2022),
    work stress and performance (Ariansy &amp; Kurnia, 2022; Yolanda
    &amp; Salbawati, 2020), as well as work environment and performance
    (Ende &amp; Firdaus, 2021; Dewi &amp; Mahayoga, 2023).</p>
        <p>Based on this, the following hypotheses are formulated:</p>
        <p>H4: Job Satisfaction has a positive effect on Sustainable
    Employee Performance. H8: Job Satisfaction mediates the relationship
    between Work-Life Balance and Sustainable Employee Performance.</p>
        <p>H9: Job Satisfaction mediates the relationship between Work
    Stress and Sustainable Employee Performance.</p>
        <p>H10: Job Satisfaction mediates the relationship between Work
    Environment and Sustainable Employee Performance.</p>
      </sec>
      <sec id="conceptual-framework">
        <title>Conceptual Framework</title>
        <p>Based on the development of the hypotheses above, the conceptual framework of this study is illustrated as follows:</p>
        <fig id="figure-hyumg5">
            <label>Figure 1. Framework of Thought</label>
            <graphic xlink:href="East_Asian_Journal_of_Multidisciplinary_Research_EAJMR-4-8-3651-g1.png" mimetype="image"
                mime-subtype="png">
                <alt-text>Image</alt-text>
            </graphic>
        </fig>
          <p>
            <bold>Figure 1. Framework of Thought</bold>
          </p>
      </sec>
    </sec>
    <sec id="methodology">
      <title>METHODOLOGY</title>
        <p>This study employs a quantitative explanatory design to examine
    the causal relationships among the hypothesized variables. The
    approach aims to explain the influence of independent variables
    (          <italic>Work-Life Balance, Work Stress, Work Environment</italic>)
    on the dependent variable (<italic>Sustainable Employee
    Performance</italic>), while considering the mediating role of
          <italic>Job Satisfaction</italic>.
        </p>
      <p>The population of this study comprises all permanent employees at
  the Technical Implementation Unit (UPT) Crew KA Tarahan, Division IV
  Tanjung Karang, PT Kereta Api Indonesia, totaling 146 individuals.
  Given the manageable size of the population, a census sampling method
  (saturated sample) is used, in which the entire population is included
  as respondents. Therefore, the research sample consists of 146
  employees.</p>
      <p>Data collection was carried out through the distribution of online
  questionnaires. The research instrument consists of a series of
  statements measuring each variable using a 5-point Likert scale,
  ranging from 1 (Strongly Disagree) to 5 (Strongly Agree). Table 1
  summarizes the operationalization of the variables used in this
  study.</p>
      <sec id="table-1.-variable-operationalization-and-source-of-adaptation">
        <title>Table 1. Variable Operationalization and Source of Adaptation</title>
        <table-wrap>
          <label>Table 1. Variable Operationalization and Source of Adaptation</label>
          <table>
            <colgroup>
              <col width="41%" />
              <col width="25%" />
              <col width="34%" />
            </colgroup>
            <thead>
              <tr>
                <th>
                  <bold>Variable</bold>
                </th>
                <th>
                  <bold>Final Number of Items</bold>
                </th>
                <th>
                  <bold>Source of Indicator Adaptation</bold>
                </th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Work-Life Balance (X1)</td>
                <td>4</td>
                <td>Ruslina Candra Putri, 2024</td>
              </tr>
              <tr>
                <td>Work Stress (X2)</td>
                <td>6</td>
                <td>Paqihul Milah, 2024</td>
              </tr>
              <tr>
                <td>Work Environment (X3)</td>
                <td>3</td>
                <td>Siagian, 2022</td>
              </tr>
              <tr>
                <td>Job Satisfaction (Z)</td>
                <td>6</td>
                <td>Nurjanah, 2024</td>
              </tr>
              <tr>
                <td>Sustainable Employee Performance (Y)</td>
                <td>6</td>
                <td>Ruslina Candra Putri, 2024</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>The data analysis technique used is Partial Least Squares
    Structural Equation Modeling (PLS-SEM) with the help of SmartPLS
    software version 4.0. This method was selected for its reliability
    in analyzing complex and predictive models, as well as its
    non-reliance on the assumption of normal data distribution, which is
    often difficult to meet in social science research.</p>
        <p>The analysis is carried out in two stages:</p>
        <list list-type="order">
          <list-item>
            <p>Measurement model evaluation (outer model) to test the
        validity and reliability of the instruments, and</p>
          </list-item>
          <list-item>
            <p>Structural model evaluation (inner model) to test the
        research hypotheses.</p>
          </list-item>
        </list>
      </sec>
    </sec>
    <sec id="results">
      <title>RESULTS</title>
      <sec id="respondent-characteristics">
        <title>Respondent Characteristics</title>
        <p>Out of 146 valid questionnaires collected, descriptive analysis
    revealed the following respondent profile. The majority of
    respondents were <bold>male (99%)</bold>. In terms of age, the
    largest group was <bold>31–35 years old (45%)</bold>, followed by
          <bold>21–25 years (27%)</bold>.
        </p>
          <p>Most respondents had a <bold>senior high school/vocational
      school (SMA/SMK) education (90%)</bold>. Regarding work tenure,
            <bold>60%</bold> of the respondents had worked for <bold>1–10
      years</bold>. The demographic summary is presented in <bold>Table
      2</bold>.
          </p>
      </sec>
      <sec id="table-2.-respondent-demographics-n146">
        <title>Table 2. Respondent Demographics (N=146)</title>
        <table-wrap>
          <label>Table 2. Respondent Demographics (N=146)</label>
          <table>
            <colgroup>
              <col width="24%" />
              <col width="32%" />
              <col width="19%" />
              <col width="26%" />
            </colgroup>
            <thead>
              <tr>
                <th>
                  <bold>Characteristic</bold>
                </th>
                <th>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>
                        <bold>Category</bold>
                      </p>
                    </disp-quote>
                  </p>
                </th>
                <th>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>
                        <bold>Frequency</bold>
                      </p>
                    </disp-quote>
                  </p>
                </th>
                <th>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>
                        <bold>Percentage (%)</bold>
                      </p>
                    </disp-quote>
                  </p>
                </th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>
                  <bold>Gender</bold>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>Male</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>144</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>99%</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
              <tr>
                <td></td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>Female</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>2</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>1%</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Age</bold>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>21 – 25 Years</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>39</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>27%</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
              <tr>
                <td></td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>26 – 30 Years</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>22</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>15%</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
              <tr>
                <td></td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>31 – 35 Years</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>65</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>45%</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
              <tr>
                <td></td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>36 – 40 Years</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>18</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>12%</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
              <tr>
                <td></td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>&gt; 40 Years</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>2</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>1%</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Education</bold>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>Senior High School</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>131</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>90%</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
              <tr>
                <td></td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>Diploma</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>14</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>9%</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
              <tr>
                <td></td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>Bachelor’s Degree</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>1</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>1%</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Work Tenure</bold>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>1 – 10 Years</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>88</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>60%</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
              <tr>
                <td></td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>11 – 20 Years</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>40</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>28%</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
              <tr>
                <td></td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>&gt; 20 Years</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>18</p>
                    </disp-quote>
                  </p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>12%</p>
                    </disp-quote>
                  </p>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
          <p>
            <bold>Measurement Model Evaluation (Outer Model)</bold>
          </p>
        <p>The outer model evaluation was conducted to ensure the validity
    and reliability of the research instruments. Initially, several
    indicators had outer loading values below the 0.70 threshold and
    were removed from the model. After modification, all remaining
    indicators had outer loading values above 0.70, confirming
    convergent validity.</p>
        <p>Table 3 presents the final results of the measurement model
    evaluation. All constructs had Cronbach’s Alpha and Composite
    Reliability (CR) values above 0.70, indicating high internal
    reliability. Additionally, the Average Variance Extracted (AVE) for
    all constructs exceeded 0.50, further supporting convergent
    validity.</p>
      </sec>
      <sec id="table-3.-measurement-model-assessment">
        <p>Table 3. Measurement Model Assessment</p>
        <table-wrap id="tbl3" position="float">
          <label>Table 3. Measurement Model Assessment</label>
          <caption>
            <title></title>
          </caption>
          <table frame="box" rules="all">
            <thead>
              <tr>
                <th>Variable</th>
                <th>Indicator</th>
                <th>Outer Loading</th>
                <th>Cronbach's Alpha</th>
                <th>Composite Reliability</th>
                <th>AVE</th>
              </tr>
            </thead>
            <tbody>
              <!-- Work-Life Balance -->
              <tr>
                <td rowspan="4">Work-Life Balance</td>
                <td>WL3</td>
                <td>0.759</td>
                <td rowspan="4">0.829</td>
                <td rowspan="4">0.848</td>
                <td rowspan="4">0.663</td>
              </tr>
              <tr>
                <td>WL4</td>
                <td>0.862</td>
              </tr>
              <tr>
                <td>WL5</td>
                <td>0.881</td>
              </tr>
              <tr>
                <td>WL8</td>
                <td>0.744</td>
              </tr>

              <!-- Work Stress -->
              <tr>
                <td rowspan="6">Work Stress</td>
                <td>SK1</td>
                <td>0.779</td>
                <td rowspan="6">0.877</td>
                <td rowspan="6">0.877</td>
                <td rowspan="6">0.619</td>
              </tr>
              <tr><td>SK2</td><td>0.836</td></tr>
              <tr><td>SK3</td><td>0.779</td></tr>
              <tr><td>SK4</td><td>0.805</td></tr>
              <tr><td>SK5</td><td>0.770</td></tr>
              <tr><td>SK7</td><td>0.748</td></tr>

              <!-- Work Environment -->
              <tr>
                <td rowspan="3">Work Environment</td>
                <td>LK2</td>
                <td>0.835</td>
                <td rowspan="3">0.785</td>
                <td rowspan="3">0.787</td>
                <td rowspan="3">0.700</td>
              </tr>
              <tr><td>LK3</td><td>0.859</td></tr>
              <tr><td>LK6</td><td>0.815</td></tr>

              <!-- Job Satisfaction -->
              <tr>
                <td rowspan="6">Job Satisfaction</td>
                <td>KK1</td>
                <td>0.810</td>
                <td rowspan="6">0.883</td>
                <td rowspan="6">0.888</td>
                <td rowspan="6">0.632</td>
              </tr>
              <tr><td>KK2</td><td>0.775</td></tr>
              <tr><td>KK6</td><td>0.800</td></tr>
              <tr><td>KK9</td><td>0.729</td></tr>
              <tr><td>KK13</td><td>0.837</td></tr>
              <tr><td>KK14</td><td>0.812</td></tr>

              <!-- Sustainable Performance -->
              <tr>
                <td rowspan="6">Sustainable Performance</td>
                <td>KB1</td>
                <td>0.769</td>
                <td rowspan="6">0.867</td>
                <td rowspan="6">0.875</td>
                <td rowspan="6">0.601</td>
              </tr>
              <tr><td>KB2</td><td>0.760</td></tr>
              <tr><td>KB3</td><td>0.724</td></tr>
              <tr><td>KB7</td><td>0.777</td></tr>
              <tr><td>KB10</td><td>0.790</td></tr>
              <tr><td>KB11</td><td>0.827</td></tr>
            </tbody>
          </table>
        </table-wrap>
        <p>Discriminant validity was also met, as shown by the
    Fornell-Larcker criterion and Heterotrait-Monotrait Ratio
    (HTMT)<bold>.</bold> Table 4 shows that the square roots of AVE
    (diagonal values) are greater than their correlations with other
    constructs (off- diagonal values). In addition, all HTMT ratios are
    below the threshold of 0.90, confirming that each construct is
    empirically distinct<bold>.</bold>
        </p>
      </sec>
      <sec id="table-4.-discriminant-validity-fornell-larcker-htmt-criteria">
        <p>Table 4. Discriminant Validity (Fornell-Larcker &amp; HTMT Criteria)</p>
        <table-wrap id="tbl4" position="float">
          <label>Table 4. Discriminant Validity (Fornell-Larcker &amp; HTMT Criteria)</label>
          <caption>
            <title></title>
          </caption>
          <table frame="box" rules="all">
            <thead>
              <tr>
                <th></th>
                <th>Sustainable Performance</th>
                <th>Job Satisfaction</th>
                <th>Work Environment</th>
                <th>Work Stress</th>
                <th>Work-Life Balance</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Sustainable Performance</td>
                <td><bold>0.775</bold></td>
                <td>0.865</td>
                <td>0.785</td>
                <td>0.876</td>
                <td>0.830</td>
              </tr>
              <tr>
                <td>Job Satisfaction</td>
                <td>0.768</td>
                <td><bold>0.795</bold></td>
                <td>0.720</td>
                <td>0.875</td>
                <td>0.869</td>
              </tr>
              <tr>
                <td>Work Environment</td>
                <td>0.667</td>
                <td>0.609</td>
                <td><bold>0.837</bold></td>
                <td>0.836</td>
                <td>0.864</td>
              </tr>
              <tr>
                <td>Work Stress</td>
                <td>-0.772</td>
                <td>-0.773</td>
                <td>-0.695</td>
                <td><bold>0.787</bold></td>
                <td>0.888</td>
              </tr>
              <tr>
                <td>Work-Life Balance</td>
                <td>0.725</td>
                <td>0.756</td>
                <td>0.699</td>
                <td>-0.761</td>
                <td><bold>0.814</bold></td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>Note: Diagonal values in bold are the square roots of AVE
    (Fornell-Larcker Criterion). Values above the diagonal are HTMT
    ratios. Values below the diagonal are inter-construct
    correlations.</p>
        <p>Source: SmartPLS 4.0 Data Output, 2025</p>
      </sec>
      <sec id="structural-model-evaluation-inner-model-and-hypothesis-testing">
        <title>Structural Model Evaluation (Inner Model) and Hypothesis Testing</title>
        <p>The structural model evaluation shows that the model has strong
    predictive power. The R² value for Job Satisfaction is 0.664
    (moderate), and for Sustainable Employee Performance is 0.694
    (substantial). This means that 66.4% of the variance in Job
    Satisfaction is explained by Work-Life Balance, Work Stress, and
    Work Environment, while 69.4% of the variance in Sustainable
    Employee Performance is explained by all predictors in the
    model.</p>
        <p>Collinearity diagnostics showed that all Variance Inflation
    Factor (VIF) values were below 5, indicating no multicollinearity
    issues. Hypotheses were tested using the bootstrapping procedure at
    a 5% significance level (<italic>p</italic> &lt; 0.05). The results
    are presented in Table 5.
        </p>
          <p>
            <bold>Table 5. Hypothesis Testing Results (Direct and Indirect Effects)</bold>
          </p>
        <table-wrap>
          <label>Table 5. Hypothesis Testing Results (Direct and Indirect Effects)</label>
          <table>
            <colgroup>
              <col width="18%" />
              <col width="18%" />
              <col width="23%" />
              <col width="13%" />
              <col width="10%" />
              <col width="18%" />
            </colgroup>
            <thead>
              <tr>
                <th>
                  <bold>Hypothesis</bold>
                </th>
                <th>
                  <bold>Path</bold>
                </th>
                <th>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>
                        <bold>Path Coefficient</bold>
                      </p>
                      <p>
                        <bold>(β)</bold>
                      </p>
                    </disp-quote>
                  </p>
                </th>
                <th>
                  <p>
                    <bold>T-</bold>
                  </p>
                  <p>
                    <bold>Statistic</bold>
                  </p>
                </th>
                <th>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>
                        <bold>P-</bold>
                      </p>
                      <p>
                        <bold>Value</bold>
                      </p>
                    </disp-quote>
                  </p>
                </th>
                <th>
                  <bold>Decision</bold>
                </th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>
                  <bold>Direct Effects</bold>
                </td>
                <td></td>
                <td></td>
                <td></td>
                <td></td>
                <td></td>
              </tr>
              <tr>
                <td>H1</td>
                <td>
                  <p>WL (X1) →</p>
                  <p>KB (Y)</p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.123</p>
                    </disp-quote>
                  </p>
                </td>
                <td>1.605</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.108</p>
                    </disp-quote>
                  </p>
                </td>
                <td>Not Supported</td>
              </tr>
              <tr>
                <td>H2</td>
                <td>
                  <p>SK (X2) → KB</p>
                  <p>(Y)</p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>-0.300</p>
                    </disp-quote>
                  </p>
                </td>
                <td>3.046</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.002</p>
                    </disp-quote>
                  </p>
                </td>
                <td>Supported</td>
              </tr>
              <tr>
                <td>H3</td>
                <td>
                  <p>LK (X3) → KB</p>
                  <p>(Y)</p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.164</p>
                    </disp-quote>
                  </p>
                </td>
                <td>2.309</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.021</p>
                    </disp-quote>
                  </p>
                </td>
                <td>Supported</td>
              </tr>
              <tr>
                <td>H4</td>
                <td>
                  <p>KK (Z) → KB</p>
                  <p>(Y)</p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.343</p>
                    </disp-quote>
                  </p>
                </td>
                <td>3.174</td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.002</p>
                    </disp-quote>
                  </p>
                </td>
                <td>Supported</td>
              </tr>
              <tr>
                <td>H5</td>
                <td>
                  <p>WL (X1) →</p>
                  <p>KK (Z)</p>
                </td>
                <td>
                  <p specific-use="wrapper">
                    <disp-quote>
                      <p>0.396</p>
                    </disp-quote>
                  </p>
                </td>
                <td></td>
                <td></td>
                <td></td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
    </sec>
    <sec id="discussion">
      <title>DISCUSSION</title>
      <sec id="the-dominant-negative-impact-of-work-stress">
        <title>The Dominant Negative Impact of Work Stress</title>
        <p>This study clearly demonstrates that work stress is the most
    detrimental factor to sustainable employee performance at PT KAI (H2
    supported; β = −0.300, p = 0.002) and also significantly impairs job
    satisfaction (H6 supported; β = −0.466, p = 0.000). This significant negative effect aligns with
    the findings of Kusuma et al. (2023) and Simarmata (2021), which confirm that
    excessive job pressure undermines emotional and physical stability, ultimately
    eroding performance.</p>
        <p>Interestingly, the impact of stress on job satisfaction is even
    stronger than its direct effect on performance. This suggests that
    the emotional effects of stress (reduced satisfaction) occur first,
    and are then manifested behaviorally in the form of decreased
    performance. Job satisfaction, in turn, acts as a significant
    mediator (H9 supported; β = −0.160, p = 0.006), reinforcing the
    pathway through which stress damages performance. This phenomenon
    provides a quantitative explanation for the high rate of sick leave
    noted in the background of this study.</p>
      </sec>
      <sec id="full-mediation-role-of-job-satisfaction-in-the-work-life-balance-effect">
        <title>Full Mediation Role of Job Satisfaction in the Work-Life Balance Effect</title>
        <p>One of the most interesting findings is related to work-life
    balance (WLB). Directly, WLB does not have a significant effect on
    sustainable employee performance (H1 not supported; p = 0.108). This
    is consistent with Ardiansyah &amp; Surjanti (2020), who also
    reported an insignificant relationship.</p>
        <p>However, WLB has a very strong and significant positive influence
    on job satisfaction (H5 supported; β = 0.396, p = 0.000), which in
    turn significantly affects performance (H4 supported).</p>
        <p>The combination of an insignificant direct effect and a
    significant indirect effect (H8 supported; β = 0.136, p = 0.009)
    suggests the presence of full mediation. In other words, the
    benefits of WLB on performance occur entirely through increased job
    satisfaction. Employees who can balance their work and personal
    lives are more likely to feel satisfied, and this emotional
    satisfaction becomes the main driver of consistent, high-quality
    performance.</p>
        <p>This finding offers a resolution to previously conflicting
    results in the literature by emphasizing job satisfaction as a key
    psychological mechanism linking WLB to performance, as also
    suggested by Priscilla (2022).</p>
      </sec>
      <sec id="the-dual-role-of-work-environment">
        <title>The Dual Role of Work Environment</title>
        <p>The work environment exhibits a mixed impact. This variable shows
    a positive and significant direct effect on sustainable employee
    performance (H3 supported; β = 0.164, p = 0.021), which is
    consistent with Ende &amp; Firdaus (2021), who assert that a
    supportive environment—such as proper equipment and good
    interpersonal relationships—can directly facilitate task
    completion.</p>
        <p>However, the work environment does not significantly influence
    job satisfaction (H7 not supported; p = 0.915), and therefore, its
    mediating effect is also insignificant (H10 not supported; p =
    0.918).</p>
        <p>This finding contrasts with studies like Fadlilah &amp; Mirwan
    (2020) but offers an important insight:</p>
        <p>In the context of operational employees at PT KAI, a good work
    environment may be perceived as a &quot;hygiene factor&quot;—a
    necessary condition to support work, but not a sufficient one to
    generate emotional satisfaction. Their job satisfaction appears to
    be more strongly influenced by psychological factors such as WLB and
    stress levels.</p>
      </sec>
    </sec>
    <sec id="conclusion">
      <title>CONCLUSION</title>
      <p>Based on the analysis and discussion, several key conclusions can be drawn:</p>
      <list list-type="order">
        <list-item>
          <p>Work stress is the most significant inhibitor of performance at
      PT KAI, with its impact further amplified through reduced job
      satisfaction.</p>
        </list-item>
        <list-item>
          <p>Work-life balance is a crucial driver of performance, but its
      influence is indirect and fully mediated by job satisfaction. This
      underscores the importance of emotional satisfaction in realizing
      the benefits of WLB.</p>
        </list-item>
        <list-item>
          <p>The work environment acts as a direct productivity enabler, but
      it is not a primary source of job satisfaction among employees in
      this context.</p>
        </list-item>
      </list>
      <p>Overall, job satisfaction emerges as the central psychological
  variable, linking both WLB and work stress to sustainable employee
  performance.</p>
    </sec>
    <sec id="recommendations">
      <title>RECOMMENDATIONS</title>
        <p>For PT KAI’s management, these findings provide a foundation for the following focused recommendations:</p>
      <list list-type="order">
        <list-item>
          <p>1. Prioritize Proactive Stress Management:</p>
        </list-item>
      </list>
        <p>Given its strong negative impact, stress management programs
    should be a top priority. These should go beyond relaxation training
    to include structural interventions such as:</p>
      <list list-type="bullet">
        <list-item>
              <p>Clearer role definitions,</p>
        </list-item>
        <list-item>
              <p>Improved communication and supervisor support,</p>
        </list-item>
        <list-item>
              <p>Realistic workload management.</p>
        </list-item>
      </list>
      <list list-type="order">
        <list-item>
          <label>2.</label>
          <p>2. Reframe Work-Life Balance Policies as Strategic
      Investments:</p>
        </list-item>
      </list>
        <p>Policies that support WLB (e.g., predictable schedules, protected
    rest time) should not be viewed merely as employee benefits, but as
    strategic investments that enhance job satisfaction—a proven driver
    of performance.</p>
      <list list-type="order">
        <list-item>
          <p>3. Optimize the Work Environment as a Productivity Enabler:</p>
        </list-item>
      </list>
        <p>Investing in workplace facilities and physical improvements
    remains important to remove productivity barriers. However,
    management should not expect environmental improvements alone to
    resolve deeper issues of satisfaction or motivation.</p>
    </sec>
    <sec id="future-research-directions">
      <title>FUTURE RESEARCH DIRECTIONS</title>
      <p>This study has several limitations. The cross-sectional design does
  not allow for conclusions about causality over time. The focus on a
  single work unit at PT KAI also limits generalizability.</p>
      <p>Therefore, future research is recommended to:</p>
      <list list-type="order">
        <list-item>
          <p>Employ a longitudinal design to track these relationships over time.</p>
        </list-item>
        <list-item>
          <p>Conduct comparative studies across various divisions of PT KAI
      or other state-owned transport enterprises to gain broader
      insights.</p>
        </list-item>
        <list-item>
          <p>Develop and validate context-specific measurement instruments,
      especially for WLB and work stress, given that several generic
      indicators had to be removed during the validity analysis.</p>
        </list-item>
      </list>
    </sec>
  </body>
  <back>
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