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  <front>
        <journal-meta>
            <journal-id journal-id-type="issn">2961-807X</journal-id>
            <journal-title-group>
                <journal-title>Journal of Legal and Cultural Analytics (JLCA)</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2961-807X</issn>
            <issn pub-type="ppub">2961-807X</issn>
            <publisher>
                <publisher-name>Journal of Legal and Cultural Analytics (JLCA)</publisher-name>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.55927/jlca.v4i2.14074</article-id>
            <article-categories/>
            <title-group>
                <article-title>Juridical Analysis and Implementation of Perma 1/2020 in Corruption Crimes : Perma No. 1 of 2020 as an Instrument for Strengthening Judicial Accountability and Restoring Public Sense of Justice</article-title>
            </title-group>

            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <given-names>Urif</given-names>
                        <surname>Syarifudin</surname>
                    </name>
                    <xref ref-type="corresp" rid="cor-0"/>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <given-names>Imam</given-names>
                        <surname>Rahmaddani</surname>
                    </name>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <given-names>Hasnah</given-names>
                        <surname>Azis</surname>
                    </name>
                </contrib>
            </contrib-group>

            <author-notes>
                <corresp id="cor-0">
                    <p>
                        <bold>Corresponding author:</bold>Urif Syarifudin <email>urifsyarifudin520@gmail.com</email>
                    </p>
                </corresp>
            </author-notes>
            <pub-date-not-available/>
            <pub-date-not-available/>
            <volume>4</volume>
            <fpage>701</fpage>
            <lpage>716</lpage>

            <history>
                <date date-type="received" iso-8601-date="2025-3-16">
                    <day>29</day>
                    <month>3</month>
                    <year>2025</year>
                </date>
                <date date-type="rev-recd" iso-8601-date="2025-4-08">
                    <day>17</day>
                    <month>4</month>
                    <year>2025</year>
                </date>
                <date date-type="accepted" iso-8601-date="2025-5-10">
                    <day>20</day>
                    <month>5</month>
                    <year>2025</year>
                </date>
            </history>

            <permissions>
                <copyright-holder>Journal of Legal and Cultural Analytics (JLCA)</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://nblformosapublisher.org/index.php/jeda" xlink:title="Juridical Analysis and Implementation of Perma 1/2020 in Corruption Crimes : Perma No. 1 of 2020 as an Instrument for Strengthening Judicial Accountability and Restoring Public Sense of Justice">Juridical Analysis and Implementation of Perma 1/2020 in Corruption Crimes : Perma No. 1 of 2020 as an Instrument for Strengthening Judicial Accountability and Restoring Public Sense of Justice</self-uri>
            <abstract>
                <p>The 1945 Constitution mandates the state to
                ensure justice and public welfare, encompassing
                moral values, social ethics, and humanitarian
                considerations. Public perception of justice,
                especially in corruption cases, is crucial, as lenient
                verdicts can erode public trust. President Prabowo
                emphasized that light sentences for corruptors
                harm the public’s sense of justice. The rising
                number of corruption cases has led to a 34-point
                decline in Indonesia’s Corruption Perceptions
                Index (CPI) from 2022 to 2023, classifying
                Indonesia as a “corruption-prone” country. This
                study analyzes sentencing provisions in Perma
                No. 1/2020 from a justice perspective, evaluates
                its implementation, and provides
                recommendations for fair sentencing. A mixed-
                method approach (qualitative-quantitative) is
                used, including correlation tests with SPSS. The
                results show a significant correlation between
                state losses and sentence severity in Perma
                1/2020. However, its implementation remains
                weak, with inconsistent judicial rulings leading to
                sentencing disparities. This study recommends
                strengthening the implementation of Perma No.
                1/2020 to ensure consistency, transparency, and
                fairness in corruption sentencing and to restore
                public trust in justice.</p>
            </abstract>
            <kwd-group>
                <kwd>Justice</kwd>
                <kwd>Corruption</kwd>
                <kwd>Punishment</kwd>
                <kwd>State Losses</kwd>
                <kwd>Sentencing Disparity</kwd>
            </kwd-group>
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                    <meta-name>File created by JATS Editor</meta-name>
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  </front>
  <body>
    <sec id="introduction">
      <title>INTRODUCTION</title>
      <p>The 1945 Constitution comprehensively mandates the state to create
        prosperity and justice for all Indonesian citizens. The sense of justice is related to
        the concept of justice in human life, which is not only based on legal regulations
        but also on moral values, social ethics, and humanity. In a social context, the
        sense of justice is often associated with how laws are applied humanely—not
        merely adhering to the letter of the law but also considering the conditions and
        feelings of the affected community. The law must not undermine the public’s
        sense of justice.</p>
      <p>The issue of justice has now become a serious concern for both society and
        the government, particularly in monitoring law enforcement in Indonesia. Even
        Indonesia’s eighth President, Prabowo Subianto, as quoted by Liputan6.com
        (December 31, 2024) during the Musrenbangnas 2025-2029 at the Bappenas
        building in Menteng, Central Jakarta, on Monday (December 30, 2024),
        emphasized that “Lenient sentences for corruptors can harm the public’s sense
        of justice.” The widespread corruption in Indonesia has tarnished its global
        reputation in combating and enforcing anti-corruption measures. This decline is
        reflected in Indonesia’s Corruption Perception Index (CPI) for 2022-2023, which
        dropped to 34 points, classifying Indonesia as a corruption-prone country.</p>
      <p>One of the main causes of the rising corruption cases is the weakness of
        legal regulations and law enforcement systems. Therefore, Nurhayati (2014)
        argues that, as part of efforts to uphold the rule of law, resolve controversies, and
        meet public demands for the swift resolution of corruption cases, the government
        must continuously refine legal frameworks and enhance the quality of law
        enforcement.</p>
      <disp-quote>
        <graphic mimetype="image" mime-subtype="png" xlink:href="vertopal_946dea9640f34618b769469d1cf03da5/media/image3.png" />
        <p>Figure 1. Indonesia’s Corruption Perception Index (CPI) 2003 - 2023 Source: Data Analysis by ICW (2023 and 2024)</p>
      </disp-quote>
      <p>One of the efforts to refine legal regulations was the enactment of
  Law No. 20 of 2001, which amends Law No. 31 of 1999 on the Eradication
  of Corruption Crimes. This legal amendment was expected to introduce a
  new paradigm in ensuring legal certainty, eliminating multiple
  interpretations, and promoting fair treatment in combating
  corruption.</p>
      <p>To achieve a more effective approach in preventing and eradicating
  corruption, the law specifically regulates sentencing provisions
  (straftoemeting).</p>
      <p>These include the establishment of mandatory minimum sentences,
  higher fines, compensation penalties, and the possibility of the death
  penalty as an aggravated punishment, as outlined in the general
  explanation of Law No. 31 of 1999.</p>
      <p>The Supreme Court of the Republic of Indonesia, in an effort to
  prevent sentencing disparities in corruption cases with similar
  characteristics—ensuring that judges impose penalties while strictly
  adhering to the principles of certainty and proportionality for fair
  law enforcement—issued Supreme Court Regulation (Perma) No. 1 of 2020.
  This regulation serves as a sentencing guideline for Articles 2 and 3
  of Law No. 31 of 1999 on the Eradication of Corruption Crimes. The
  issuance of this sentencing guideline presents an interesting subject
  for research and forms the core issue of this study.</p>
      <p>Based on the background explained above, the research problem is
  formulated as follows: “The loss of a sense of justice due to
  sentencing disparities in corruption cases is caused by the
  ineffective implementation of Supreme Court Regulation No. 1 of 2020.”
  Therefore, the purpose of this study is to conduct a juridical
  analysis of these sentencing provisions from a justice perspective,
  assess their implementation in law enforcement, and provide
  recommendations for judges in determining fair sentencing standards
  (straftoemeting).</p>
    </sec>
    <sec id="literature-review">
      <title>LITERATURE REVIEW</title>
      <p>To highlight the differences in focus between this study and
      previous research, the author conducted a literature review and
      inventory of prior studies. No previous research was found that shares
      the same title and core issue as this study, ensuring its scientific
      accountability and originality. However, several previous studies are
      relevant to the current research topic, particularly regarding the
      juridical review and implementation of sentencing provisions for
      corruption crimes, as outlined in the following discussion:</p>
      <list list-type="order">
        <list-item>
          <label>1)</label>
          <p>
            <bold>Maria Gracia (2019) : “<italic>Integrating Law and Economics in Indonesia</italic>”.
            </bold>
          </p>
        </list-item>
      </list>
      <p>Maria Gracia (2019) conducted a study titled “Integrating Law and
  Economics in Indonesia.” The findings of this research were published
  in the UPH Law Review, Volume XVIII, No. 3 - March 2019. Gracia’s
  (2019) research fully integrates the ideology of utilitarianism. She
  explains that Bentham followed Adam Smith’s philosophy of the free
  market, believing that society should have the freedom to decide what
  to buy and what to produce. Alain Marciano, Adam Smith, and Jeremy
  Bentham are all considered founders of political economic philosophy.
  Although Smith and Bentham came from different academic disciplines,
  they shared a common goal: maximizing societal welfare.</p>
      <p>Throughout history, it has been evident that legal issues have an
  economic dimension. Conducting legal analysis using an economic
  approach often involves certain assumptions, one of which is that
  every individual seeks to maximize their satisfaction rationally. The
  economic assumption suggests that human rationality and motivation
  influence behavior. Since humans are self- interested rational beings,
  their actions reflect what they value. This study provides a
  theoretical foundation for the current research, particularly
  regarding</p>
      <p>the integration of law and economics in the context of corruption
  law enforcement in Indonesia.</p>
      <list list-type="order">
        <list-item>
          <label>2)</label>
          <p>
            <bold>Tama S. Langkun, et, al. (2015) : “<italic>Studinatas Disparitas Putusan Pemidanaan Perkara Tindak Pidana Korupsi</italic>”
            </bold>
          </p>
        </list-item>
      </list>
      <p>Tama S. Langkun et al. (2015), researchers from Indonesian
  Corruption Watch (ICW), conducted a study on the characteristics of
  sentencing in corruption cases in Indonesia from 2009 to 2014. Their
  research was published as a study report by ICW and the Indonesian
  Legal Aid Foundation (YLBHI) for the years 2014/2015, under the title
  “Study on Sentencing Disparities in Corruption Cases.” The report
  highlights the existence of sentencing disparities in corruption
  cases, analyzing the patterns and factors contributing to these
  inconsistencies before the issuance of Supreme Court Regulation
  (PERMA) No. 1 of 2020 on guidelines for sentencing in corruption
  cases.</p>
      <p>The present study serves as both a response and a follow-up to
  Langkun et al.’s (2015) research, specifically examining the
  sentencing framework after the implementation of PERMA No. 1 of 2020.
  Additionally, this research explores the perspective and legal
  implications of the new sentencing guidelines. As a result, the study
  provides a comparative analysis of sentencing disparities in
  corruption cases before and after the issuance of PERMA No.
  1/2020.</p>
      <list list-type="order">
        <list-item>
          <label>3)</label>
          <p>
            <bold>Indriyanto Seno Adji, (2020) : “<italic>Korupsi : Economic Analysis of Law Dan Perspektif Implementasi Straftoemeting</italic>”.
            </bold>
          </p>
        </list-item>
      </list>
      <p>Indriyanto Seno Adji (2020), a professor and legal practitioner,
  conducted a study titled “Corruption: Economic Analysis of Law and the
  Perspective of Straftoemeting Implementation.” The findings were
  published in the “Center for Economic Analysis of Law and Policy
  Bulletin.” In his study, Adji argues that crime prevention policies in
  criminal law, particularly regarding enforcement and prevention of
  corruption offenses, require a distinct understanding in relation to
  sentencing measures (straftoemeting). However, the traditional
  approach, which relies on classical methods and traditionalist
  interpretations emphasizing the principle of culpability with a
  deterrent effect, has not yet strengthened the corruption eradication
  system, especially in terms of enforcement. This indicates the need
  for a modern and updated approach to corruption prevention and
  enforcement.</p>
      <p>The present study serves as a follow-up to Adji’s research,
  offering an alternative concept for determining sentencing measures in
  corruption cases. More specifically, this research comprehensively
  examines corruption sentencing regulations from the perspective of
  justice theory. The findings are expected to contribute to a
  contemporary approach to sentencing (straftoemeting) as an alternative
  solution for ensuring fair and just corruption eradication.</p>
      <sec id="pniel-destenesse-diocto-2023-putusan-hakim-tindak-pidana-korupsi-yang-tidak-berdasarkan-dengan-ketentuan-pemidanaan-perma-nomor-1-tahun-2020-pada-pengadilan-negeri-pontianak">
        <list list-type="order">
          <list-item>
            <label>4)</label>
            <p>
              <bold>Pniel Destenesse Diocto (2023) : “<italic>Putusan Hakim Tindak Pidana Korupsi Yang Tidak Berdasarkan Dengan Ketentuan Pemidanaan PERMA Nomor 1 Tahun 2020 Pada Pengadilan Negeri Pontianak</italic>”</bold>
            </p>
          </list-item>
        </list>
        <p>P.D. Diocto (2023) conducted research on sentencing in corruption
    cases at the Pontianak District Court and found that most defendants
    were prosecuted</p>
        <p>under Articles 2 and 3 of the Corruption Eradication Act (UU
    Tipikor) for acts that caused financial losses to the state.
    However, there was a significant disparity in court rulings on these
    cases. To address this issue, the Supreme Court issued Supreme Court
    Regulation (Perma) No. 1 of 2020 as a sentencing guideline. Despite
    this, the judicial panel views Perma as merely a guideline rather
    than a binding procedural law, meaning that judges continue to base
    their rulings on the prevailing legislation. However, this judicial
    discretion is not absolute; it must be exercised responsibly and
    free from internal or external interference.</p>
        <p>This research aims to further examine sentencing trends, not just
    in individual cases but as a broader phenomenon over the past five
    years, since the Supreme Court introduced its sentencing regulations
    in 2020. A deeper legal analysis of these sentencing provisions will
    also be conducted, focusing on their implementation in corruption
    cases. As a recommendation, this study will explore alternative
    legal formulations, particularly regarding sentencing standards in
    corruption cases, to ensure greater consistency in judicial
    decisions and prevent sentencing disparities in corruption
    cases.</p>
        <list list-type="order">
          <list-item>
            <label>5)</label>
            <p>
              <bold>Medani P. Bhandari, (2023) : “<italic>The Corruption of a Chronic Disease of Humanity : Causes, Effect and Consequences</italic>”.
              </bold>
            </p>
          </list-item>
        </list>
        <p>Medani P. Bhandari (2023), in the journal “ASEJ Scientific
    Journal of Bielsko Biala School of Finance and Law, Volume 27, No. I
    (2023), p. 13”, wrote an article titled “The Corruption: A Chronic
    Disease of Humanity: Causes, Effects, and Consequences.” His
    research states that corruption is a chronic disease that hinders
    development and weakens trust in institutions, particularly in
    developing countries. Eradicating corruption requires a collective
    effort from academics, practitioners, international bodies, the UN,
    and governments. Corruption cannot be eliminated overnight; instead,
    it demands long-term commitment and a comprehensive approach,
    including legal, institutional, and cultural reforms. Efforts should
    include strengthening legal frameworks, promoting transparency and
    accountability, ensuring integrity in public services, engaging
    communities, and addressing socio-economic factors. International
    cooperation, such as sharing best practices, providing technical
    assistance, and financial support, is also crucial.</p>
        <p>Ultimately, minimizing corruption requires a cultural shift
    toward integrity, transparency, and ethics. Only through
    collaboration among all stakeholders can corruption be reduced,
    supporting sustainable development, social justice, and improved
    quality of life in developing countries. This study is closely
    related to the author’s research, particularly regarding the essence
    of corruption, its impacts, and its root causes in developing
    countries. The findings serve as a foundation for analyzing the core
    issues of corruption, leading to the conclusion that one of the key
    factors driving the rise of corruption in Indonesia is sentencing
    policies.</p>
      </sec>
    </sec>
    <sec id="methodology">
      <title>METHODOLOGY</title>
      <p>The method applied in this study is a combination of qualitative
  and quantitative research methods, using a normative-empirical legal
  research approach. This approach examines the implementation of
  positive legal provisions (legislation) and contracts in actual legal
  events within society to achieve predetermined research objectives.
  The basis for using this combined method is to determine the extent to
  which sentencing provisions are applied in the enforcement of
  corruption crimes and to provide recommendations for judges in
  establishing fair sentencing standards (straftoemeting) for corruption
  offenses. According to Muhaimin (2020), in scientific research, data
  collection techniques refer to the research process in which
  scientific methods are systematically applied to collect data, which
  is then analyzed to align with the research objectives.</p>
      <p>Based on this concept, data collection techniques in this study
  involve gathering primary and secondary legal materials—including
  laws, Supreme Court Regulation (Perma) No. 1 of 2020, and other legal
  provisions related to the sentencing of corruption crimes, as well as
  previous research findings. Data collection is conducted through
  document studies (documentation techniques) and analysis of corruption
  crime verdicts from the Pontianak District Court over the past five
  years (2020–2024), obtained from SIPP
        <ext-link ext-link-type="uri" xlink:href="http://10.11.12.13/sipp/)">(http://10.11.12.13/sipp/).</ext-link>
  Additionally, data is gathered through interviews with respondents and
  key informants, questionnaires (surveys), and direct observations of
  research locations and objects.</p>
      <p>The qualitative analysis in this study focuses on non-numerical
  data, providing descriptive insights based on words and narratives
  rather than numerical figures. It prioritizes data quality over
  quantity. In contrast, numerical data—such as the total financial
  losses incurred by corruption during the observation period and the
  duration of corruption-related sentences—are analyzed using
  quantitative methods. This quantitative approach involves numerical
  data or variables to explore, investigate, and understand a
  phenomenon.</p>
      <p>The findings are then discussed using a normative-descriptive
  approach, offering a legal perspective on the observed phenomena. To
  support data analysis, interviews with relevant parties, such as
  judges, and focus group discussions (FGDs) with key stakeholders are
  conducted. Additionally, supporting data—such as studies, reports,
  research journals, and other relevant sources—are collected to provide
  a comprehensive discussion on the phenomenon under study.</p>
    </sec>
    <sec id="results-and-discussion">
      <title>RESULTS AND DISCUSSION</title>
      <sec id="juridical-analysis-of-supreme-court-regulation-no.-12020-on-sentencing-provisions-for-corruption-crimes-under-articles-2-and-3-of-law-no.-311999.">
        <title>A. Juridical Analysis of Supreme Court Regulation No. 1/2020 on Sentencing Provisions for Corruption Crimes Under Articles 2 and 3 of Law No.31/1999.</title>
        <p>Supreme Court Regulation (Perma) No. 1 of 2020 provides
    sentencing guidelines for corruption cases, specifically those
    regulated under Articles 2 and 3 of Law No. 31 of 1999 on the
    Eradication of Corruption Crimes. This regulation</p>
        <p>aims to guide judges in imposing penalties on corruption
    offenders in a more consistent and measurable manner.</p>
        <p>Article 2 of Law No. 31 of 1999 addresses acts of corruption that
    clearly cause financial losses to the state or national economy,
    which can be subject to severe punishments, including life
    imprisonment. This article focuses on deliberate actions by
    perpetrators that harm the state. Meanwhile, Article 3 regulates the
    abuse of authority by state officials or individuals in certain
    positions to enrich themselves or others, indirectly causing
    financial losses to the state.</p>
        <p>Perma No. 1/2020 provides sentencing guidelines based on the
    severity of state financial losses and the role of the perpetrator
    in the corruption offense. It classifies state financial losses into
    several categories, ranging from minor to significant, each with
    corresponding sentencing consequences. The greater the financial
    loss caused by corruption, the harsher the punishment imposed.
    Additionally, this regulation considers various factors, such as the
    role of the perpetrator—whether they were the main actor or merely
    an accomplice—as well as any efforts made to compensate for state
    losses. The goal is to ensure proportional justice in sentencing by
    taking into account all relevant aspects of corruption cases.</p>
        <p>This regulation establishes clearer sentencing standards for
    judges, aiming to minimize sentencing disparities across different
    courts. Perma No. 1/2020 also emphasizes the importance of
    transparency and accountability in the sentencing process for
    corruption crimes, ensuring that punishments genuinely reflect
    justice and serve as a deterrent to both offenders and the broader
    society.</p>
        <p>Numerical data on corruption sentencing provisions under Perma
    No. 1/2020 is organized into tables for easier presentation and
    analysis. Sentencing for corruption offenses under Articles 2 and 3
    is classified into five categories, with the sentencing provisions
    outlined in Table 1. To assess the correlation between the extent of
    state financial losses and sentencing provisions under Perma No.
    1/2020, a statistical correlation analysis was conducted using SPSS
    software (Table bellow).</p>
        <p>Table 1. Provisions of Perma No. 1/2020 on Sentencing for Corruption Crimes.</p>
        <table-wrap id="table-1">
            <label>Table 1. Provisions of Perma No. 1/2020 on Sentencing for Corruption Crimes.</label>
            <table>
                <colgroup>
                    <col width="26%" />
                    <col width="25%" />
                    <col width="24%" />
                    <col width="25%" />
                </colgroup>
                <thead>
                    <tr>
                        <th>
                            <p specific-use="wrapper"><disp-quote>
                                    <p>
                                        <bold>Classification</bold>
                                    </p>
                                </disp-quote></p>
                        </th>
                        <th>
                            <p specific-use="wrapper"><disp-quote>
                                    <p>
                                        <bold>State Losses</bold>
                                    </p>
                                </disp-quote></p>
                        </th>
                        <th>
                            <p specific-use="wrapper"><disp-quote>
                                    <p>
                                        <bold>Imprisonment</bold>
                                    </p>
                                </disp-quote></p>
                        </th>
                        <th>
                            <p specific-use="wrapper"><disp-quote>
                                    <p>
                                        <bold>Fine</bold>
                                    </p>
                                </disp-quote></p>
                        </th>
                    </tr>
                </thead>
                <tbody>
                    <tr>
                        <td>Heaviest</td>
                        <td>&gt; 100.000 juta</td>
                        <td>10 - 20 tahun</td>
                        <td>500 - 1.000 juta</td>
                    </tr>
                    <tr>
                        <td>High</td>
                        <td></td>
                        <td>16 - 20</td>
                        <td>800 - 1.000</td>
                    </tr>
                    <tr>
                        <td>Medium</td>
                        <td></td>
                        <td>13 - 16</td>
                        <td>650 - 800</td>
                    </tr>
                    <tr>
                        <td>Low</td>
                        <td></td>
                        <td>10 - 13</td>
                        <td>500 - 600</td>
                    </tr>
                    <tr>
                        <td>Heavy</td>
                        <td>25.000 - 100.000 juta</td>
                        <td>8 - 16 tahun</td>
                        <td>400 - 800 juta</td>
                    </tr>
                    <tr>
                        <td>High</td>
                        <td></td>
                        <td>13 - 16</td>
                        <td>650 - 800</td>
                    </tr>
                    <tr>
                        <td>Medium</td>
                        <td></td>
                        <td>10 - 13</td>
                        <td>500 - 650</td>
                    </tr>
                    <tr>
                        <td>Low</td>
                        <td></td>
                        <td>8 - 10</td>
                        <td>400 - 500</td>
                    </tr>
                    <tr>
                        <td>Medium</td>
                        <td>1.000 - 25.000 juta</td>
                        <td>6 - 13 tahun</td>
                        <td>300 - 650 juta</td>
                    </tr>
                    <tr>
                        <td>High</td>
                        <td></td>
                        <td>10 - 13</td>
                        <td>500 - 650</td>
                    </tr>
                    <tr>
                        <td>Medium</td>
                        <td></td>
                        <td>8 - 10</td>
                        <td>400 - 500</td>
                    </tr>
                    <tr>
                        <td>Low</td>
                        <td></td>
                        <td>6 - 8</td>
                        <td>300 - 400</td>
                    </tr>
                    <tr>
                        <td>Light</td>
                        <td>200 - 1.000 juta</td>
                        <td>4 - 10 tahun</td>
                        <td>200 - 500 juta</td>
                    </tr>
                    <tr>
                        <td>High</td>
                        <td></td>
                        <td>8 - 10</td>
                        <td>400 - 500</td>
                    </tr>
                    <tr>
                        <td>Medium</td>
                        <td></td>
                        <td>6 - 8</td>
                        <td>300 - 400</td>
                    </tr>
                    <tr>
                        <td>Low</td>
                        <td></td>
                        <td>4 - 6</td>
                        <td>200 - 300</td>
                    </tr>
                    <tr>
                        <td>Lightest</td>
                        <td>&lt; 200 juta</td>
                        <td>1 - 4 tahun</td>
                        <td>50 - 200 juta</td>
                    </tr>
                    <tr>
                        <td>High</td>
                        <td></td>
                        <td>3 - 4</td>
                        <td>150 - 200</td>
                    </tr>
                    <tr>
                        <td>Medium</td>
                        <td></td>
                        <td>2 - 3</td>
                        <td>100 - 150</td>
                    </tr>
                    <tr>
                        <td>Low</td>
                        <td></td>
                        <td>1 - 2</td>
                        <td>50 - 100</td>
                    </tr>
                </tbody>
            </table>
        </table-wrap>
        <disp-quote>
        <p>Table 2. Results of Trend Correlation Analysis: Supreme Court Regulation (Perma) Number 1 of 2020 on Sentencing Provisions for Corruption Crimes under Articles 2 and 3 of Law Number 31/1999</p>
        <table-wrap id="table-2">
            <label>Table 2. Results of Trend Correlation Analysis: Supreme Court Regulation (Perma) Number 1 of 2020 on Sentencing Provisions for Corruption Crimes under Articles 2 and 3 of Law Number 31/1999</label>
            <caption>
                <title><sup>*</sup>Correlation is significant at the 0.01 level 2-tailed.</title>
            </caption>
            <table frame="all" rules="all">
                <thead>
                    <tr>
                        <th></th>
                        <th></th>
                        <th>Kerugian Negara</th>
                        <th>Pidana Penjara</th>
                        <th>Pidana Denda</th>
                    </tr>
                </thead>
                <tbody>

                    <!-- Baris: Kerugian Negara -->
                    <tr>
                        <td rowspan="5">Kerugian Negara</td>
                        <td>Correlation</td>
                        <td>1</td>
                        <td>.703"</td>
                        <td>.706"</td>
                    </tr>
                    <tr>
                        <td>Sig. (2-tailed)</td>
                        <td></td>
                        <td>.003</td>
                        <td>.003</td>
                    </tr>
                    <tr>
                        <td>Sum of Squares</td>
                        <td>1.052E12</td>
                        <td>1.531E8</td>
                        <td>6.387E8</td>
                    </tr>
                    <tr>
                        <td>Covariance</td>
                        <td>7.517E10</td>
                        <td>1.094E7</td>
                        <td>4.562E7</td>
                    </tr>
                    <tr>
                        <td>N</td>
                        <td>15</td>
                        <td>15</td>
                        <td>15</td>
                    </tr>

                    <!-- Baris: Pidana Penjara -->
                    <tr>
                        <td rowspan="5">Pidana Penjara</td>
                        <td>Correlation</td>
                        <td>.703"</td>
                        <td>1</td>
                        <td>1.000"</td>
                    </tr>
                    <tr>
                        <td>Sig. (2-tailed)</td>
                        <td>.003</td>
                        <td></td>
                        <td>.000</td>
                    </tr>
                    <tr>
                        <td>Sum of Squares</td>
                        <td>1.531E8</td>
                        <td>45072.000</td>
                        <td>187050.000</td>
                    </tr>
                    <tr>
                        <td>Covariance</td>
                        <td>1.094E7</td>
                        <td>3219.429</td>
                        <td>13360.714</td>
                    </tr>
                    <tr>
                        <td>N</td>
                        <td>15</td>
                        <td>15</td>
                        <td>15</td>
                    </tr>

                    <!-- Baris: Pidana Denda -->
                    <tr>
                        <td rowspan="5">Pidana Denda</td>
                        <td>Correlation</td>
                        <td>.706"</td>
                        <td>1.000"</td>
                        <td>1</td>
                    </tr>
                    <tr>
                        <td>Sig. (2-tailed)</td>
                        <td>.003</td>
                        <td>.000</td>
                        <td></td>
                    </tr>
                    <tr>
                        <td>Sum of Squares</td>
                        <td>6.387E8</td>
                        <td>187050.000</td>
                        <td>776833.333</td>
                    </tr>
                    <tr>
                        <td>Covariance</td>
                        <td>4.562E7</td>
                        <td>13360.714</td>
                        <td>55488.095</td>
                    </tr>
                    <tr>
                        <td>N</td>
                        <td>15</td>
                        <td>15</td>
                        <td>15</td>
                    </tr>
                </tbody>
            </table>
        </table-wrap>
        </disp-quote>
        <p>Figure 2. Scatter Plot Analysis of Trend Correlations: Perma Number 1/2020.</p>
        <p>Source: Statistical Analysis Results (SPSS) of Perma No. 1 of 2020.</p>
        <p>The interpretation of the statistical correlation analysis using
        SPSS on Perma No. 1/2020 indicates a significant correlation between
        state financial losses and sentencing provisions, both in terms of
        imprisonment and fines. The correlation coefficient between state
        financial losses and imprisonment provisions is 0.703, while the
        correlation between state financial losses and fine provisions is
        0.706. These correlation values indicate that the severity of
        sentencing for corruption crimes is directly influenced by the
        magnitude of financial losses caused by unlawful actions that harm
        the state or national economy.</p>
        <p>The strong correlation between financial losses and sentencing
        provisions for both imprisonment and fines in corruption cases
        reflects efforts to enforce proportionality in criminal sanctions.
        Perma No. 1/2020 aims to create consistency in sentencing by linking
        the severity of punishment to the extent of state financial losses.
        This approach aligns with the principle of justice, ensuring that
        the greater the financial impact, the harsher the punishment,
        thereby reinforcing deterrence.</p>
        <p>However, inconsistencies in judicial decisions and sentencing
        disparities remain issues that undermine public trust in law
        enforcement. Therefore, strengthening the implementation of Perma
        No. 1/2020 through stricter adherence to sentencing guidelines,
        increased judicial accountability, and greater transparency in
        rulings is essential. By establishing a more predictable and fair
        sentencing framework, public confidence in the judiciary can be
        restored while demonstrating the state’s commitment to eradicating
        corruption and upholding the rule of law.</p>
      </sec>
      <sec id="implementation-of-perma-number-12020-in-corruption-crimes">
        <title>B. Implementation of Perma Number 1/2020 in Corruption Crimes</title>
        <p>The verdicts in corruption cases at the Pontianak District Court
    (PN Pontianak) contain several key elements that form the basis of
    legal considerations. These include proving the elements of
    corruption, determining the defendant’s guilt or innocence, and
    imposing appropriate criminal sanctions. Judges assess whether the
    defendant’s actions meet the elements stipulated in Law Number 31 of
    1999 in conjunction with Law Number 20 of 2001 on the Eradication of
    Corruption Crimes, such as causing state financial losses, abuse of
    authority, or unlawfully enriching oneself.</p>
        <p>During the evidentiary process, judges consider legally valid
    evidence under Article 184 of the Criminal Procedure Code (KUHAP),
    including witness testimonies, documents, and expert statements.
    Additionally, they take into account mitigating or aggravating
    factors, such as efforts to recover state losses or the defendant’s
    track record. If found guilty, the defendant may face imprisonment,
    fines, or an obligation to compensate for state losses. In some
    cases, the defendant’s attempt to return state losses may serve as a
    mitigating factor, as regulated in Article 4, paragraph (2) of Perma
    No. 1 of 2020 on Sentencing Guidelines for Corruption Crimes. The
    verdict is final at the first- instance level but can be appealed by
    either the defendant or the public prosecutor to a higher court
    following the procedures established in KUHAP.</p>
        <p>Moreover, compiling verdict data periodically can help analyze
    the characteristics of corruption crimes and sentencing patterns
    applied by the judges. For instance, by collecting and extracting
    verdict data on corruption cases</p>
        <p>at PN Pontianak from 2020 to 2024, trends in corruption case
    handling after the enactment of Perma No. 1 of 2020 can be
    identified. This data can serve as an evaluation tool to assess the
    consistency of sentencing guidelines, disparities in punishments,
    and the effectiveness of state loss recovery efforts. According to
    Indonesian legal expert Prof. Romli Atmasasmita, consistency and
    transparency in corruption law enforcement are crucial to restoring
    public trust in the judicial system. Thus, analyzing these verdicts
    is not only beneficial for law enforcement but also for
    strengthening judicial accountability and integrity.</p>
        <p>The data was obtained from
          <ext-link ext-link-type="uri" xlink:href="http://10.11.12.13/sipp/main">
            <underline>http://10.11.12.13/sipp/main</underline>
          </ext-link>,
    organized into tabular form, and analyzed using a combined
    qualitative and quantitative approach to gain a comprehensive
    understanding of corruption crimes and the sentencing decisions made
    by judges in handling such cases. Numerical analysis of court
    verdict data on corruption cases after the enactment of Perma No. 1
    of 2020 (from 2020 to October 2024) indicates significant trends.
    The total number of corruption cases at the Pontianak District Court
    reached 289, with 33 cases in 2020, 95 cases in 2021, 49 cases in
    2022, 54 cases in 2023, and 58 cases as of October 2024. This
    fluctuation reflects the dynamics of corruption case handling and
    the effectiveness of Perma No. 1 of 2020 in law enforcement.</p>
        <p>Most cases involved violations of Articles 2 and 3 of Law Number
    31 of 1999 on the Eradication of Corruption Crimes, while a smaller
    proportion related to Articles 5 and 12. Corrupt practices during
    this period were estimated to have caused state losses of
    approximately IDR 373 billion, with the highest losses occurring in
    2020 (IDR 105.965 billion) and the lowest in 2023 (IDR 36 billion).
    From a gender perspective, 95.16% of corruption perpetrators were
    male, while 4.84% were female. The following graphical analysis
    provides a more detailed overview of corruption trends, types of
    offenses, and financial losses to the state within the jurisdiction
    of PN Pontianak.</p>
        <p>
          <inline-graphic mimetype="image" mime-subtype="png" xlink:href="vertopal_946dea9640f34618b769469d1cf03da5/media/image7.png" />
          <inline-graphic mimetype="image" mime-subtype="png" xlink:href="vertopal_946dea9640f34618b769469d1cf03da5/media/image8.png" />
        </p>
        <disp-quote>
          <p>a. <italic>Corruption Case Trend</italic> b. <italic>Total State Losses</italic>
          </p>
          <p>Figure 3. Corruption Cases at the Pontianak District Court (2020–2024)</p>
          <p>
            <italic>(Source: 2025 Analysis Results)</italic>
          </p>
        </disp-quote>
        <p>According to Law Number 31 of 1999 on the Eradication of
    Corruption Crimes, various types of corruption offenses are
    specifically regulated along with</p>
        <p>the articles they violate. The following are the types of
    corruption offenses and their corresponding articles :</p>
        <list list-type="order">
          <list-item>
            <p>Causing losses to state finances or the national economy (Article 2, Paragraph 1).</p>
          </list-item>
          <list-item>
            <p>Abuse of authority, opportunity, or facilities (Article 3).</p>
          </list-item>
          <list-item>
            <p>Bribery (Article 5, Paragraphs 1 and 2, and Article 11).</p>
          </list-item>
          <list-item>
            <p>Gratification (Article 12B, Paragraph 1).</p>
          </list-item>
          <list-item>
            <p>Extortion in office (Article 12, Letter e).</p>
          </list-item>
          <list-item>
            <p>Fraudulent acts (Article 7, Paragraph 1, Letters a and b).</p>
          </list-item>
          <list-item>
            <p>Conflict of interest in procurement (Article 12, Letter i).</p>
          </list-item>
          <list-item>
            <p>Embezzlement in office (Article 8).</p>
          </list-item>
          <list-item>
            <p>Receiving gifts or promises related to position or office (Article 12, Letters a and b).</p>
          </list-item>
        </list>
        <p>Of the nine types of corruption offenses mentioned above, data
    analysis of corruption cases at the Pontianak District Court
    indicates that the most dominant offense is causing financial or
    economic losses to the state, followed by bribery and gratification.
    This finding suggests that acts causing financial losses to the
    state (Article 2, Paragraph 1) and abuse of authority, opportunity,
    or facilities (Article 3) have been the most prevalent corruption
    practices in West Kalimantan over the past five years, with an
    increasing trend each year.</p>
        <p>To better understand this phenomenon and the disparities that
    arise, it is necessary to analyze sentencing data from court rulings
    on corruption cases. Additionally, an in-depth analysis of court
    decisions should be conducted. Sentencing disparities refer to
    inconsistencies in judges’ rulings when imposing punishments on
    defendants convicted of similar offenses under Articles 2 and 3 of
    Law No. 31/1999. This analysis should also examine the standards
    judges use in their decisions—whether they align with sentencing
    guidelines or not. Furthermore, it is crucial to assess trends and
    correlations in rulings to determine whether certain cases tend to
    receive more lenient sentences, particularly those involving
    high-ranking officials or cases with significant financial losses to
    the state. This can be achieved by referencing judicial decision
    databases.</p>
        <p>Based on an analysis of corruption verdicts referring to Articles
    2 and 3 of Law No. 31/1999 in conjunction with Law No. 20/2001 on
    the Eradication of Corruption Crimes in the Pontianak District Court
    from 2020 to 2024, findings indicate a low correlation and
    significant disparity in sentencing. This disparity is reflected in
    the inconsistency of judges in sentencing defendants involved in
    corruption cases with similar characteristics. Statistical analysis
    reveals that the correlation between state financial losses and
    sentencing severity is minimal. The correlation coefficient between
    financial losses and imprisonment is only 0.022, while the
    correlation between financial losses and fines is 0.047. This
    suggests that financial losses are not a dominant factor in judicial
    considerations, leading to legal uncertainty and injustice in
    sentencing.</p>
        <p>According to legal expert Romli Atmasasmita, sentencing
    disparities in corruption cases arise from varying judicial
    interpretations of the law and the absence of clear guidelines for
    determining appropriate punishments.</p>
        <p>Furthermore, M. Yahya Harahap argues that inconsistencies in
    judicial decisions undermine legal certainty and fairness, which
    should be fundamental pillars of the justice system. These findings
    are consistent with previous research by Indonesia Corruption Watch
    (ICW), which highlights that corruption sentencing disparities are
    often influenced by non-legal factors such as political intervention
    or external pressure.</p>
        <p>The weak correlation between financial losses and sentencing
    severity, both in terms of imprisonment and fines, reflects
    inconsistencies in legal enforcement that can erode public trust in
    the judicial system. When the severity of punishment does not
    correspond to the magnitude of financial losses inflicted on the
    state, the public may perceive law enforcement as unfair and
    disproportionate. This situation risks creating legal uncertainty
    and the impression that the law favors perpetrators with economic or
    political power.</p>
        <p>Therefore, reforms are needed in sentencing policy
    implementation, including strengthening more objective and
    transparent sentencing standards based on substantive justice
    principles. By ensuring that punishments are proportional to the
    impact of the crime, the legal system can be more effective in
    deterring corruption, enhancing judicial accountability, and
    restoring public confidence in the state’s commitment to eradicating
    corruption.</p>
        <p>Table 4. Results of Trend Correlation Analysis of Judges’ Rulings in Corruption Cases Under Articles 2 &amp; 3 of Law No. 31/1999 at the Pontianak District Court (2020–2024)</p>
        <table-wrap id="table-4">
            <label>Table 4. Results of Trend Correlation Analysis of Judges’ Rulings in Corruption Cases Under Articles 2 &amp; 3 of Law No. 31/1999 at the Pontianak District Court (2020–2024)</label>
            <caption>
                <title><sup>**</sup> Correlation is significant at the 0.01 level (2-tailed).</title>
            </caption>
            <table frame="all" rules="all">
                <thead>
                    <tr>
                        <th></th>
                        <th></th>
                        <th>Kerugian_Negara</th>
                        <th>Pidana_Penjara</th>
                        <th>Pidana_Denda</th>
                    </tr>
                </thead>
                <tbody>

                    <!-- Baris: Kerugian_Negara -->
                    <tr>
                        <td rowspan="3">Kerugian_Negara</td>
                        <td>Pearson Correlation</td>
                        <td>1</td>
                        <td>.022</td>
                        <td>.047</td>
                    </tr>
                    <tr>
                        <td>Sig. (2-tailed)</td>
                        <td></td>
                        <td>.802</td>
                        <td>.593</td>
                    </tr>
                    <tr>
                        <td>N</td>
                        <td>133</td>
                        <td>133</td>
                        <td>133</td>
                    </tr>

                    <!-- Baris: Pidana_Penjara -->
                    <tr>
                        <td rowspan="3">Pidana_Penjara</td>
                        <td>Pearson Correlation</td>
                        <td>.022</td>
                        <td>1</td>
                        <td>.717"</td>
                    </tr>
                    <tr>
                        <td>Sig. (2-tailed)</td>
                        <td>.802</td>
                        <td></td>
                        <td>000</td>
                    </tr>
                    <tr>
                        <td>N</td>
                        <td>133</td>
                        <td>133</td>
                        <td>133</td>
                    </tr>

                    <!-- Baris: Pidana_Denda -->
                    <tr>
                        <td rowspan="3">Pidana_Denda</td>
                        <td>Pearson Correlation</td>
                        <td>.047</td>
                        <td>.717"</td>
                        <td>1</td>
                    </tr>
                    <tr>
                        <td>Sig. (2-tailed)</td>
                        <td>.593</td>
                        <td>.000</td>
                        <td></td>
                    </tr>
                    <tr>
                        <td>N</td>
                        <td>133</td>
                        <td>133</td>
                        <td>133</td>
                    </tr>
                </tbody>
            </table>
        </table-wrap>
        <p>
          <inline-graphic mimetype="image" mime-subtype="png" xlink:href="vertopal_946dea9640f34618b769469d1cf03da5/media/image9.png" />
          <inline-graphic mimetype="image" mime-subtype="png" xlink:href="vertopal_946dea9640f34618b769469d1cf03da5/media/image10.png" />
          <inline-graphic mimetype="image" mime-subtype="png" xlink:href="vertopal_946dea9640f34618b769469d1cf03da5/media/image11.png" />
        </p>
        <disp-quote>
          <p>Figure 4. Scatter Plot Analysis of Trend Correlations in Judges’ Rulings on Corruption Crimes Under Articles 2 and 3 of Law No. 31/1999 at the Pontianak District Court (2020–2024). Source: SPSS Statistical Analysis Results</p>
        </disp-quote>
      </sec>
      <sec id="enhancing-the-effectiveness-of-perma-no.-1-of-2020-in-improving-judicial-accountability-and-restoring-public-sense-of-justice-amid-disparities-in-corruption-sentencing">
        <title>C. Enhancing the Effectiveness of Perma No. 1 of 2020 in Improving Judicial Accountability and Restoring Public Sense of Justice Amid Disparities in Corruption Sentencing</title>
        <p>Perma No. 1 of 2020 on Sentencing Guidelines for Articles 2 and 3
    of the Corruption Eradication Law serves as a legal instrument aimed
    at creating uniformity in corruption sentencing. This regulation was
    introduced in response to public criticism regarding sentencing
    disparities, which often do not align with the financial losses
    suffered by the state or the level of culpability of the offenders.
    However, despite the existence of clearer guidelines, the
    effectiveness of Perma No. 1 of 2020 in restoring public confidence
    in justice still faces several challenges. Certain measures must be
    taken to ensure that this regulation is optimally implemented and
    provides legal certainty that is fair and just.</p>
        <sec id="consistency-in-applying-sentencing-guidelines">
          <title>1. Consistency in Applying Sentencing Guidelines</title>
          <disp-quote>
            <p>One of the main issues that persists is the inconsistency in
        how judges apply the sentencing guidelines. Although Perma No. 1
        of 2020 classifies sentencing based on the amount of state
        financial losses, there are still cases where corrupt officials
        receive lenient sentences despite causing significant financial
        harm. Prof. Dr. Topo Santoso, S.H., M.H. asserts that uniformity
        in sentencing is a fundamental principle of due process of law,
        ensuring that justice is not only applied formally but also
        substantively to serve the public interest. Therefore, the
        Supreme Court must enforce stricter oversight to prevent judges
        from issuing rulings that deviate from the established
        guidelines.)</p>
          </disp-quote>
        </sec>
        <sec id="strengthening-judicial-oversight">
          <title>2. Strengthening Judicial Oversight</title>
          <disp-quote>
            <p>To enhance the effectiveness of Perma No. 1 of 2020, judicial
        oversight must be reinforced. The Judicial Commission (KY) and
        the Supreme Court must ensure that every verdict handed down
        adheres objectively to the sentencing guidelines. In practice,
        many rulings contain subjective considerations that do not
        always align with principles of justice and legal certainty. Dr.
        Harkristuti Harkrisnowo emphasizes that strict oversight of
        corruption-related rulings is crucial for maintaining the
        integrity of the judicial system. Conducting regular evaluations
        of past rulings can also help identify patterns of deviation in
        sentencing and minimize disparities.)</p>
          </disp-quote>
        </sec>
        <sec id="optimizing-additional-penalties-as-a-deterrent">
          <title>3. Optimizing Additional Penalties as a Deterrent</title>
          <disp-quote>
            <p>Beyond imprisonment and fines, sentencing effectiveness in
        corruption cases can be strengthened by implementing additional
        penalties, such as revocation of political rights, asset
        confiscation, and bans on holding public office. Dr. Refly
        Harun, S.H., M.H. argues that combating corruption requires more
        than just imposing lenient prison sentences; it must also
        include measures to impoverish corrupt officials, eliminating
        any financial incentives for engaging in corruption. By
        consistently enforcing these additional penalties, public
        confidence in the justice system can be restored, as offenders
        will not only face individual punishment but also long-term
        consequences for their actions.</p>
          </disp-quote>
        </sec>
        <sec id="transparency-and-accountability-in-judicial-decisions">
          <title>4. Transparency and Accountability in Judicial Decisions</title>
          <disp-quote>
            <p>Sentencing disparities in corruption cases often lead to
        negative public perceptions, primarily due to a lack of
        transparency in judicial proceedings. To address this, the
        Supreme Court must promote greater transparency in publicly
        communicating judicial rulings in corruption cases. Prof.
        Dr.</p>
            <p>Hikmahanto Juwana, S.H., LL.M. stresses that disclosing the
        legal basis for corruption sentences is crucial to preventing
        negative assumptions about the judiciary. One potential step is
        to provide publicly accessible summaries of judicial
        considerations in corruption rulings. By ensuring greater
        transparency, the public can better understand the factors
        underlying judicial decisions and assess whether the rulings
        align with principles of justice.</p>
          </disp-quote>
        </sec>
      </sec>
    </sec>
    <sec id="conclusion">
      <title>CONCLUSION</title>
      <p>Factually, law enforcement in corruption cases still faces numerous
  challenges, particularly concerning the inefficacy of the sentencing
  system, which can undermine public trust. Although there is a
  correlation between the amount of state financial losses and the
  severity of punishment as outlined in Perma No. 1/2020, its
  implementation remains inconsistent, leading to sentencing
  disparities. On the other hand, the low correlation between financial
  losses and sentencing outcomes in certain cases indicates legal
  uncertainty that may favor corrupt offenders. To address this issue,
  sentencing policies must be strengthened to be more objective,
  transparent, and grounded in the principles of substantive justice. By
  implementing more consistent and proportional sentencing standards,
  the legal system can become more effective in deterring corruption,
  upholding the rule of law, and restoring public confidence in judicial
  integrity and the state’s commitment to eradicating corruption.</p>
      <p>While Perma No. 1/2020 represents progress in addressing sentencing
  disparities in corruption cases, its effectiveness still requires
  significant improvements. Ensuring consistency in applying sentencing
  guidelines should be a priority to maintain uniformity in judicial
  decisions. Stronger oversight of judicial rulings is necessary to
  prevent deviations from legal standards. Additionally, the more
  frequent application of supplementary penalties, such as fines and
  asset confiscation, is essential to create a stronger deterrent effect
  and reinforce proportionality in sentencing. Enhancing transparency in
  public communication regarding judicial rulings is also crucial to
  building accountability and public trust in the judicial process.</p>
      <p>By implementing these measures, the effectiveness of Perma No.
  1/2020 can be significantly improved, thereby reducing sentencing
  disparities for corrupt officials and restoring public confidence in
  the legal system. Strengthening these aspects will not only uphold the
  rule of law but also reinforce the moral and ethical foundations of
  justice, ensuring that sentences are commensurate with the severity of
  the crime and align with society’s sense of justice.</p>
    </sec>
    <sec id="advanced-research">
      <title>ADVANCED RESEARCH</title>
      <p>Further research is essential to address ongoing challenges in the
  sentencing of corruption cases, particularly regarding the
  inconsistent application of <bold>Supreme Court Regulation (Perma) No.
  1 of 2020</bold>. Despite its intent to reduce sentencing disparities,
  implementation has often been uneven, leading to legal uncertainty and
  diminishing public trust in the judiciary.</p>
      <disp-quote>
        <p>Future studies could focus on the following key areas:</p>
      </disp-quote>
      <sec id="assessment-of-perma-no.-12020-implementation">
        <title>1. Assessment of Perma No. 1/2020 Implementation</title>
        <disp-quote>
          <p>An empirical analysis of court decisions to evaluate how
      consistently judges apply the sentencing guidelines.</p>
        </disp-quote>
      </sec>
      <sec id="correlation-between-state-losses-and-sentencing-severity">
        <title>2. Correlation Between State Losses and Sentencing Severity</title>
        <disp-quote>
          <p>Research on the proportionality of sentences in relation to
      financial losses incurred, aiming to determine whether judicial
      decisions reflect substantive justice.</p>
        </disp-quote>
      </sec>
      <sec id="effectiveness-of-supplementary-penalties">
        <title>3. Effectiveness of Supplementary Penalties</title>
        <disp-quote>
          <p>Examination of the use and impact of fines, asset confiscation,
      and restitution in enhancing deterrence and reinforcing
      accountability.</p>
        </disp-quote>
      </sec>
      <sec id="transparency-and-public-trust">
        <title>4. Transparency and Public Trust</title>
        <disp-quote>
          <p>Analysis of how transparent judicial decisions affect public
      perception and trust in anti-corruption efforts.</p>
        </disp-quote>
      </sec>
      <sec id="policy-recommendations-for-sentencing-reform">
        <title>5. Policy Recommendations for Sentencing Reform</title>
        <disp-quote>
          <p>Development of more objective, measurable, and just sentencing
      frameworks to improve consistency and fairness in corruption
      rulings.</p>
        </disp-quote>
        <p>By addressing these areas, future research can contribute to a
    more transparent, proportional, and credible legal system,
    ultimately strengthening public confidence and the rule of law in
    the fight against corruption.</p>
      </sec>
    </sec>
  </body>
  <back>
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