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Jurnal Scientia Indonesia
Published by Universitas Negeri Semarang
ISSN : -     EISSN : 24608327     DOI : https://doi.org/10.15294/scientia
Core Subject : Social,
Social Sciences
Jurnal Scientia Indonesia mempublikasikan tulisan ilmiah dari hasil penelitian maupun telaah pustaka dalam lingkup pendidikan ilmu pengetahuan alam.
Arjuna Subject : Ilmu Sosial - Ilmu Sosial (Lain-Lain)
Articles 10 Documents
 1 
Strengthening Predictive Policing Approaches to Improve Urban Safety Outcomes Lesha Syabrina
Jurnal Scientia Indonesia Vol. 9 No. 1 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/scientia.v9i1.37925

Abstract

This study analyzes the effectiveness of predictive policing technologies in enhancing urban security, particularly in rapidly growing metropolitan areas. As cities expand, law-enforcement institutions face increasingly complex challenges related to crime patterns, mobility, and social dynamics. The primary objective of this research is to evaluate how data-driven crime prediction models, integrated with digital surveillance and community reporting systems, influence overall police performance and public safety outcomes. A mixed-methods approach was employed, combining statistical crime-trend analysis (2016–2023) with interviews involving police analysts, patrol officers, and urban residents. Results indicate that predictive policing systems contributed to a 22% reduction in hotspot-related crime and improved the accuracy of patrol deployment. Interview findings show improved officer confidence in decision-making and increased public trust due to transparent risk-mapping practices. The study concludes that predictive policing can significantly strengthen urban safety strategies if implemented ethically and inclusively. This research contributes to the growing body of knowledge on technology-supported policing and offers policy insights for sustainable security development.
Strengthening Police–Community Relations for Sustainable Public Safety Outcomes Nesia Oktania
Jurnal Scientia Indonesia Vol. 9 No. 1 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/scientia.v9i1.37927

Abstract

Police–community relations represent a fundamental component of effective law-enforcement systems and sustainable public safety governance. This study examines the dynamics between police agencies and community groups, analyzing how cooperative frameworks, communication strategies, and participatory policing programs influence crime prevention and public trust. Using a mixed-methods approach, the research incorporates five years of crime statistics, surveys from 2,400 residents, and interviews with 52 police personnel and community leaders. Quantitative analysis indicates that neighborhoods with active community–police partnerships experienced a 24% reduction in property crime and a 17% decline in public disturbances. Qualitative findings highlight improvements in mutual trust, reporting willingness, and conflict-resolution outcomes. However, the study also identifies persistent challenges, including inconsistent engagement practices, limited resource allocation, and negative perceptions arising from isolated misconduct incidents. The research concludes that strong police–community partnerships significantly enhance security, reduce crime risks, and strengthen social cohesion. The study contributes to policing science by presenting an integrated model of community-oriented policing supported by empirical evidence and strategic recommendations for sustainable implementation.
Strengthening Police Conflict Management Strategies for Effective Public Safety Governance Abror Alkindi
Jurnal Scientia Indonesia Vol. 9 No. 1 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/scientia.v9i1.37932

Abstract

Effective conflict management within policing is essential to maintaining public order, promoting peaceful dispute resolution, and strengthening community trust. This study examines the role of police conflict-management strategies through an integrated analysis of negotiation approaches, de-escalation techniques, multi-stakeholder cooperation, and early intervention mechanisms. Using a mixed-methods design, five years of operational data from three metropolitan jurisdictions were evaluated alongside interviews with 48 police officers, mediators, and community leaders. Statistical assessment indicates that police units employing structured conflict-management training saw a 31% reduction in violent confrontations and a 22% increase in voluntary compliance during high-tension encounters. Qualitative findings highlight the importance of communication competence, cultural awareness, and emotional regulation in preventing escalation. Yet challenges remain, including inconsistent training standards, limited community involvement, and institutional resistance to procedural reforms. This study concludes that robust, evidence-based conflict-management strategies improve police effectiveness, enhance public trust, and support long-term social stability. The research contributes to police science by offering a comprehensive framework of conflict-management practices and identifying policy recommendations for sustainable implementation.
Ethical Foundations for Strengthening Professional Conduct in Modern Policing Practices Susilo Teguh Raharjo
Jurnal Scientia Indonesia Vol. 9 No. 1 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/scientia.v9i1.37939

Abstract

Ethics plays a central role in shaping professional conduct and public trust in modern policing. As societal expectations evolve, police organizations face increasing pressure to behave transparently, uphold human rights, and maintain accountability. This study examines the ethical dimensions of policing through an analysis of decision-making models, institutional frameworks, and professional standards that influence officer behavior. Using a mixed-methods design, data were gathered from 62 semi-structured interviews with officers, community leaders, and legal experts, as well as document reviews of internal codes of conduct and oversight reports. Findings indicate that ethical awareness training reduces complaint rates by 27% and enhances officers’ ability to exercise discretion proportionately during high-stakes encounters. Nevertheless, organizational culture, peer influence, and inconsistent disciplinary mechanisms remain significant barriers to ethical compliance. The study concludes that ethics must be embedded in recruitment, training, leadership, and accountability systems to build a resilient and trustworthy police institution. The research contributes to policing science by offering a structured ethical framework that integrates normative principles with operational realities.
Enhancing Law Enforcement Effectiveness Through Integrated Technological Innovations in Policing Bagus Setiyono
Jurnal Scientia Indonesia Vol. 9 No. 1 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/scientia.v9i1.37942

Abstract

Technological advancement has transformed contemporary law-enforcement practices, enabling police agencies to improve operational efficiency, decision-making processes, and public safety outcomes. This study examines the integration of multiple policing technologies—including digital reporting systems, body-worn cameras, crime-mapping tools, automated license plate recognition, and real-time communication platforms—within metropolitan police departments. Using a mixed-methods design, the research analyzes five years of operational performance data, evaluates changes in response-time metrics, and incorporates interviews with officers, analysts, and community representatives. Statistical analysis indicates that departments implementing integrated technology systems experience a 19% improvement in response efficiency, a 27% increase in investigative accuracy, and enhanced public transparency. Spatial analysis further demonstrates improved hotspot identification through geospatial tools, supporting optimized patrol deployment. However, the study also identifies challenges including uneven technological distribution, limited personnel training, and concerns related to data privacy. Ultimately, the findings highlight the transformative role of technology in strengthening policing capabilities while emphasizing the need for ethical governance frameworks. This study contributes to policing science by offering a comprehensive evaluation of how technological integration improves law-enforcement performance and proposing strategic recommendations for sustainable implementation.
Enhancing Cybercrime Response Capabilities through Integrated Digital Policing Systems Rudy Cahya Kurniawan
Jurnal Scientia Indonesia Vol. 9 No. 2 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/scientia.v9i2.37964

Abstract

This study examines the development of digital policing systems as a strategic response to the increasing complexity of cybercrime in Indonesia. As society becomes more dependent on digital platforms, cyber threats such as online fraud, identity theft, ransomware, and cyber harassment continue to escalate. This research aims to assess the effectiveness of integrated cybercrime response mechanisms that combine digital forensics, interagency collaboration, and AI-based threat detection. A mixed-methods design was employed, involving statistical analysis of national cybercrime reports from 2018–2023 and interviews with cyber investigators, IT specialists, and victims. Results indicate that the implementation of integrated digital policing systems reduced case-handling time by 31% and improved evidence retrieval accuracy by 27%. Interview findings highlight improved investigative coordination, although challenges persist related to technological disparities and public digital literacy. This study concludes that enhancing cybercrime response requires a comprehensive framework that merges technology, legal infrastructure, and cross-sector collaboration. The findings contribute to ongoing efforts in strengthening national cyber resilience.
Community-Centered Policing Strategies for Enhancing Urban Public Security Wachyono Wachyono
Jurnal Scientia Indonesia Vol. 9 No. 2 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/scientia.v9i2.37965

Abstract

This study examines the effectiveness of community-centered policing strategies in enhancing urban public security. Rapid urbanization in developing countries increases social complexity and crime vulnerability, requiring adaptive policing models. The research aims to evaluate how community involvement, data-driven monitoring, and preventive patrol techniques contribute to public trust and safety outcomes. A mixed-methods approach was used, combining quantitative crime-rate analysis from 2015–2023 with qualitative interviews involving police officers, community leaders, and local residents. Results show that community-centered policing significantly reduces property crime by 18% and increases public reporting behavior by 27%. The integration of digital surveillance systems and neighborhood security forums further improves police responsiveness and social cohesion. The study concludes that strengthening partnerships between police institutions and urban citizens is essential to creating sustainable security ecosystems. Findings contribute to the scientific understanding of collaborative crime-prevention frameworks and offer practical policy recommendations for urban security reform.
Artificial Intelligence Integration for Modern Policing and Public Security Enhancement Suramta Suramta
Jurnal Scientia Indonesia Vol. 9 No. 2 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/scientia.v9i2.37967

Abstract

The integration of Artificial Intelligence (AI) into modern policing has transformed crime prevention, detection, and investigative mechanisms across multiple jurisdictions. This study examines the technical architectures, operational impacts, and analytical outcomes of AI-enabled policing systems, including predictive policing models, automated surveillance analytics, and digital forensic algorithms. Using a mixed-methods design, the research incorporates simulated police datasets, spatial–temporal crime mapping, machine-learning model evaluations, and qualitative insights from law-enforcement practitioners. Findings indicate that AI-driven predictive models improve hotspot forecasting accuracy by up to 87%, while computer-vision-based surveillance increases anomaly-detection precision to 92%. AI-assisted digital forensics significantly enhances data extraction quality and investigative efficiency. However, challenges emerge regarding algorithmic transparency, data biases, privacy concerns, and unequal access to high-performance computing infrastructures. The study concludes that the effective adoption of AI in policing requires standardized governance frameworks, interoperable data architectures, and strong public oversight. This research contributes to the scientific understanding of AI-policing ecosystems by presenting a comprehensive technical assessment, identifying socio-ethical implications, and proposing an integrated implementation roadmap for sustainable public-security enhancement.
Artificial Intelligence Integration for Enhancing Digital and Physical Security Systems Kukuh Bambang S
Jurnal Scientia Indonesia Vol. 9 No. 2 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/scientia.v9i2.37968

Abstract

Artificial Intelligence (AI) has become a central component in modern security ecosystems, encompassing digital security, physical surveillance, threat detection, and automated incident response. This study examines the integration of AI-enhanced security technologies and evaluates their effectiveness through mixed-methods analysis. The research aims to assess the impact of AI-driven threat-detection systems, predictive analytics, automated surveillance, and digital forensic tools on overall security performance, response time, and incident-handling accuracy. Quantitative data were collected from 52,400 security incidents recorded between 2019 and 2024, while qualitative insights were obtained through interviews with cybersecurity analysts, system engineers, and field security officers. Machine-learning models—including random forests, LSTM networks, and convolutional neural networks—were implemented to measure threat-classification accuracy and anomaly-detection performance. Results indicate that AI integration improved threat-detection accuracy by 28%, reduced average incident-response time by 34%, and enhanced digital forensic extraction efficiency by 41%. The study concludes that AI has a transformative impact on multi-layered security environments, enabling faster, more accurate, and more scalable threat mitigation. The research contributes to scientific understanding by providing a comprehensive framework for evaluating AI deployment in hybrid security infrastructures and identifying key challenges related to ethical governance, data privacy, and algorithmic transparency.
Advancing Law Enforcement Efficiency Through Integrated Technological Innovation Systems Ngatmo Ngatmo
Jurnal Scientia Indonesia Vol. 9 No. 2 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/scientia.v9i2.37972

Abstract

Technological innovation has transformed modern policing by enhancing operational efficiency, investigative accuracy, and public safety. This study examines the integration of digital tools—including surveillance systems, artificial intelligence, mobile reporting platforms, cyber forensics, and geographic information systems—into law-enforcement practices. Using a mixed-methods approach, the research analyzes five-year operational datasets from metropolitan police agencies, 54 interviews with officers and IT specialists, and documentation of technology implementation policies. The results show that the adoption of integrated technological systems leads to a 28% improvement in response times, a 34% increase in investigative clearance rates, and enhanced predictive capabilities in crime pattern analysis. Qualitative findings highlight that officers perceive technology as beneficial for situational awareness but express concerns regarding privacy, data security, and overreliance on automated systems. The study concludes that responsible and strategic use of technology strengthens police effectiveness while requiring robust ethical governance and transparent public communication. This research contributes to public safety science by offering a comprehensive framework for evaluating technological integration and proposing guidelines for sustainable and accountable digital transformation in policing.

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