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All Journal Jurnal Ilmu Kepolisian Tanggon Kosala Proceedings of Police Academy
Jarot Muchtar
Master Of Informatics Engineering, Dian Nuswantoro University, Semarang, Indonesia
Humanities Decision Sciences, Operations Research & Management Education Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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 1 
Effectiveness of The Role of the Criminal Office in using Restorative Justice to Improve the Settlement of Domestic Violence Crimes in the Jurisdiction Malang Police Region Fachmi Ady Kurniawan; Jarot Muchtar; Muhammad Imam Farid
Tanggon Kosala Vol. 13 No. 1 (2024): Tanggon Kosala (April 2024)
Publisher : Akademi Kepolisian Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70526/tk.v13i1.1666

Abstract

This research aims to analyze the effectiveness of the role of the Malang Police Satreskim in using restorative justice to increase the resolution of domestic violence crimes. In this research, a qualitative approach was also used with field research methods through direct data collection from relevant agencies through interviews, observation, and documentation, as well as literature studies combined with validation techniques from data triangulation. The results of the research show that 1) the application of restorative justice in resolving domestic violence crimes in the Malang Police jurisdiction is carried out based on the Republic of Indonesia State Police Regulation Number 8 of 2021 concerning Handling of Criminal Acts Based on Restorative Justice and the Criminal Investigation Department's Telegram Letter Number: ST/480/IV /HUK.5.1./2022 dated 20 April 2022. The application of restorative justice in resolving domestic violence crimes in the Malang Police jurisdiction was carried out through mediation efforts and succeeded in reaching an agreement between the reported party and the reporter to make peace; 2) The role of the Malang Criminal Investigation Unit in using restorative justice to improve the resolution of domestic violence crimes is still deemed to be ineffective. Malang Criminal Investigation Unit faces obstacles in communication, where many people do not understand the concept of restorative justice. The competency factor of members in implementing restorative justice in resolving domestic violence crimes is still not optimal, especially since there are still many people who do not understand the procedures and mechanisms of restorative justice in resolving domestic violence crimes.
Effectiveness of Bhabinkamtibmas Through the Online Binmas Application System Version 2 (Bos V2) in Reducing Theft With Aggregation in the Jurisdiction of Magetan Police Sefriana Fajar; Jarot Muchtar; Timothy Ignatius Paskah Boske
Tanggon Kosala Vol. 13 No. 1 (2024): Tanggon Kosala (April 2024)
Publisher : Akademi Kepolisian Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70526/tk.v13i1.1671

Abstract

The high number of criminal offenses of theft with aggravation can be caused by the high expenditure that is not proportional to the income in Magetan Regency. The Binmas Online System Version 2 (BOS V2) application is the latest Baharkam breakthrough application that assists Bhabinkamtibmas personnel in maintaining public order. The purpose of this study is to determine the effectiveness of Bhabinkamtiba's performance and the use of the BOS V2 application by Bhabinkamtibmas in suppressing the number of thefts with aggravation (curat) in the Magetan Police jurisdiction. This research uses a qualitative approach with the type of field research. Primary data was collected using interviews, forum group discussions (FGD), and observation, while secondary data collection was sourced from document examination. Source triangulation was used to compare data from different sources. The research shows that the effectiveness of Bhabinkamtibmas performance and the use of BOS V2 have not suppressed the number of aggravated thefts in the Magetan Police jurisdiction. This is due to deficiencies in the application system and Bhabinkamtibmas, who are still having difficulty using this application.
Performance of Ngawi Police Criminal Investigation Unit Investigations in Disclosing Crimes Aggressive Theft Akbar, Muhammad; Muchtar, Jarot; Farid, Muhammad Imam
Tanggon Kosala Vol. 14 No. 2 (2025): Tanggon Kosala (Oktober 2025)
Publisher : Akademi Kepolisian Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70526/tk.v14i2.1677

Abstract

There was a decrease in the percentage of solving theft crimes with aggregation compared to the previous year; in 2021, there were 32 cases, with 25 cases solved or 78.2%; in 2022, there were 38 cases, with 27 cases solved or 71.1%. In 2022, there was a decrease in the percentage of case completion, which was 7.1%. This research used a qualitative study approach because it aligns with the understanding of the qualitative approach above. The research is closely related to a dynamic society, which is poured with descriptive data that can be observed and definite by the reality that occurs in the field. The results of observations made by the author found differences in mechanisms between regulations in perkap and implementation related to reporting. Officers do not immediately make people who come to report a crime to SPKT a Police Report. Only reports that have met two sufficient pieces of evidence will be made a police report by the officer, while reports that have not met two enough pieces of evidence will be made a certificate of receipt of the report. In addition, there are findings related to operational members who do not make Investigation Results Reports, which can hinder the investigation process. The performance of Criminal Investigation Unit investigators in disclosure theft crimes has not been optimally reviewed; it is still found that members who carry out investigation and investigation activities are not according to predetermined laws and procedures.
A Machine Learning Approach to Predicting Digital Leadership Success in Indonesian Police Officers Muchtar, Jarot; Soeleman, Moch Arief
Jurnal Ilmu Kepolisian Vol 19 No 2 (2025): Jurnal Ilmu Kepolisian Volume 19 Nomor 2 Tahun 2025
Publisher : Sekolah Tinggi Ilmu Kepolisian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35879/jik.v19i2.646

Abstract

We develop a predictive model to enhance digital leadership among Indonesian National Police (Polri) officers, addressing the pressing need for technological proficiency in modern law enforcement. Digital leadership, vital for combating cyber threats and improving operational efficiency, remains underdeveloped in Polri due to limited technological skills and a lack of systematic leadership identification. We train machine learning models on 564 anonymized officer records, incorporating attributes like rank, position, and education, guided by Transformational, Adaptive, and Contingency Leadership theories. The Light GBM model excels, achieving an F1 Score of 0.9674, a Log Loss of 0.2244, a Cohen's Kappa of 0.9616, and a Matthews Correlation Coefficient of 0.9620, demonstrating high predictive accuracy. This model empowers Polri to identify officers with strong digital leadership potential, enabling targeted training programs and strategic personnel selection to drive digital transformation. We prioritize ethical deployment by excluding sensitive attributes, such as religion and gender, to mitigate bias and employ k-anonymity to safeguard data privacy. Fairness audits and interpretable outputs ensure equitable and transparent decision-making. Our approach aligns with global policing trends, offering a scalable solution to enhance leadership in tech-driven environments. By integrating robust technical performance with ethical safeguards, this study contributes to Polri’s strategic goals and sets a foundation for future research in diverse policing contexts. We advocate for continuous model monitoring to sustain fairness and effectiveness in real-world applications.
EDITORIAL COMMENT: Police Research and Digital Leadership Suprihanto, Eko; Winarno, Hady; Ari Setyawan, Nugroho; Imam Farid, Muhammad; Bagaskara Gunadi Putra, Satrio; Muchtar, Jarot
Proceedings of Police Academy Vol. 1 No. 1 (2024): Proceedings of police academy billingual seminar 2024
Publisher : Indonesian National Police Academy

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Abstract

This editorial comment introduces papers by the Indonesian Police Academy (Akpol) cadets at a seminar on digital leadership in policing. The cadets' papers highlight the application of digital leadership across five core policing functions: investigation, community policing, patrol, traffic, and intelligence. The cadets’ papers present innovative uses of digital platforms, such as social media and dedicated applications, to enhance efficiency and effectiveness in crime prevention, investigation, and community engagement. The papers show the growing importance of police research, the INP’s commitment to problem-oriented policing, and the implementation of digital leadership.
EDITORIAL COMMENT: Police for the Community Suprihanto, Eko; Winarno, Hady; Suhendarwan, Bhakti; Setyawan, Nugroho Ari; Syahrial, Taufiq; Farid, Muhammad Imam; Muchtar, Jarot
Proceedings of Police Academy Vol. 1 No. 1 (2025): Proceedings of Police Academy: Police for the Community
Publisher : Indonesian National Police Academy

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Abstract

This editorial comment is the introduction for this collection with the title “Police for the Community”. The police are for the community. The various practices on how the police deliver services to communities were presented in the articles. Community policing and problem-oriented policing are the terms that are closely associated with “the police for the community”. The editors discuss the concept of community policing and problem-oriented policing. Afterwards, a brief explanation of the articles is given. There are several potential lessons to be learned from this collection for the future development of the police academy, ensuring that the police serve the community effectively.
From Street to Cyberspace: Digital Transformation for Community-Oriented Policing Muchtar, Jarot
Proceedings of Police Academy Vol. 1 No. 1 (2025): Proceedings of Police Academy: Police for the Community
Publisher : Indonesian National Police Academy

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Abstract

This study quantitatively evaluates the impact of digital transformation on community-oriented policing (COP) in Semarang, Indonesia, focusing on accessibility, trust, and collaboration. A survey of 523 community members across four sub-districts (Semarang Tengah, Banyumanik, Tembalang, Gunungpati) was conducted, supplemented by secondary data from Semarang Police reports and Portal Semarang Satu Data. Results showed digital platforms increased accessibility (M = 4.29, SD = 0.60), trust (M = 4.09, SD = 0.67), and collaboration (M = 4.00, SD = 0.77). Multiple regression identified digital literacy (β = 0.121, p = 0.001) and platform usability (β = 0.112, p = 0.017) as significant predictors of trust (R2 = 0.045). ANOVA revealed sub-district differences in accessibility (F(3, 519) = 36.55, p < 0.001). Rural areas lagged in digital literacy (48.2% vs. 88.2% urban). The study
Co-Authors Ari Setyawan, Nugroho Bagaskara Gunadi Putra, Satrio Fachmi Ady Kurniawan Farid, Muhammad Imam Imam Farid, Muhammad Moch Arief Soeleman, Moch Arief Muhammad Akbar Muhammad Imam Farid Sefriana Fajar Setyawan, Nugroho Ari Suhendarwan, Bhakti Suprihanto, Eko Syahrial, Taufiq Timothy Ignatius Paskah Boske Winarno, Hady