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Jurnal Puruhita
Published by Universitas Negeri Semarang
ISSN : -     EISSN : 26559668     DOI : https://doi.org/10.15294/puruhita
Core Subject : Social,
Social Sciences
Jurnal Puruhita is a double blind peer-reviewed journal published by the Universitas Negeri Semarang and managed by the Institute for Research and Community Service, Universitas Negeri Semarang (LPPM UNNES). This journal is published twice a year every February and August and since its publication in 2019 it has used an open access system as a whole. This journal publishes research articles and critical-analytic studies related to empowerment scope of non-learning education, economics, science, technology, language, sports, philosophy, and implications in the field of educational scientific studies.
Arjuna Subject : Ilmu Sosial - Ilmu Sosial (Lain-Lain)
Articles 11 Documents
 1   2 
Javanese Script Writing Training as a Form of Local Cultural Conservation for Tanjung Community, Special Region of Yogyakarta Harto Wicaksono; Ninuk Solikhah Akhiroh; Fadly Husain; Didi Pramono; Siti Khuzaimah; Nekha Dewi Anggraeni; Zidane Atala Naufal; Ghisya Sauqina Rosyada
Jurnal Puruhita Vol. 6 No. 2 (2024)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Javanese script is a cultural heritage from our ancestors that needs to be preserved. Javanese script is often introduced to the education system in the form of local educational content such as in Javanese language subjects. Even so, there are still many people who are not interested in learning it, because writing Javanese script has a fairly high level of complexity. The rules in writing starting from the shape of the letters, giving pairs, and sandhangan are factors that make people less interested in learning Javanese script. This certainly affects the existence of Javanese script today. Therefore, such a situation should not be allowed to continue because it can eliminate the identity and locality of the community which has an impact on the fading of cultural entities. In response to this situation, reinforcement is needed in the form of Javanese script writing training. This activity is an important part of efforts to conserve local culture. Like this service which was carried out in Padukuhan Wukirsari, Cangkringan, Sleman, Yogyakarta. The implementation methods used in this community service program are socialization, Focus Group Discussion (FGD), and training/simulation. With this program, the community can be fostered, empowered, and begin to be independent in learning to use Javanese script as their cultural identity.
Safety Awareness: Efforts to Increase the Work Productivity of Indonesian Migrant Workers Evi Widowati; Ratna Dewi Kusumaningtyas; Ummi Nur Laila Sulistyani; Fitra Aulia Rahma; Aza Putri Anisa; Ayu Fadilah Wahid
Jurnal Puruhita Vol. 7 No. 1 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/puruhita.v7i1.32964

Abstract

Unbalanced population growth caused by high birth rates, low mortality, and uneven population distribution poses various challenges. One of the impacts is the increasing number of workers who choose to work abroad. In 2024, there will be 297,434 Indonesian Citizens working as Indonesian Migrant Workers (PMI), with the most placements in Hong Kong (99,773), Taiwan (84,581), and Malaysia (51,732). PMI contributes significantly to the national economy through foreign exchange reserves. However, some of them also face various unfair treatment, such as low wages, violence, confiscation of documents, excessive working hours, and an inadequate work environment, in addition to many complaints related to illness, work accidents, and death. The literature review results related to PMI in Hong Kong show that PMIs still face problems related to Occupational Safety and Health (OSH). With a lack of awareness about OSH rights, this condition will worsen. Therefore, there is a need for intervention in safety awareness training to increase workers' understanding and awareness of OSH. This training aims to improve workers' knowledge to reduce the number of work accidents and increase productivity. The results of the qualitative analysis showed that training increased participants' knowledge; therefore, PMI needed to conduct refresher training regularly to improve their safety awareness.
AI-Assisted Scientific Writing Training to Enhance the Professional Competence of Madrasah Teachers Sita Nurmasitah; Adhi Kusumastuti; Samsudin Anis; Aryo Baskoro Utomo; Godham Eko Saputro
Jurnal Puruhita Vol. 7 No. 1 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/puruhita.v7i1.37390

Abstract

The AI-assisted scientific writing training was implemented as a community service program to enhance the professional competence of madrasah teachers in the digital era. This activity aimed to equip teachers with the skills to write scientific articles, classroom action research reports, and best practice papers using artificial intelligence (AI) applications such as ChatGPT, Grammarly, QuillBot, and Mendeley. The training was conducted through hands-on practice and online mentoring using an experiential learning approach that emphasized real-world writing experiences. A total of 30 madrasah teachers participated in the program, which consisted of a pre-test, training sessions, writing practice, and a post-test. The results showed an average score improvement of 37%, particularly in aspects of writing structure, paragraph cohesion, academic language use, and reference management. Participants also demonstrated high enthusiasm and began developing independent scientific works for publication purposes. This activity proved that AI-based writing training effectively enhances teachers’ academic productivity and strengthens digital literacy as part of continuous professional development. 
Strengthening Modern Policing Strategies for Public Safety and Crime Reduction Tri Widada
Jurnal Puruhita Vol. 7 No. 1 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/puruhita.v7i1.37892

Abstract

Modern policing faces increasing challenges due to evolving crime patterns, rapid urbanization, and heightened public expectations regarding security and law-enforcement performance. This study investigates the effectiveness of contemporary policing strategies—particularly community policing, problem-oriented policing, patrol optimization, and crime-mapping analytics—in enhancing public safety and reducing crime rates. Using a mixed-methods approach, this research analyzes five years of crime data from metropolitan regions, evaluates patrol deployment structures, and conducts field interviews with officers, community leaders, and municipal administrators. Results demonstrate that integrated policing models combining proactive patrols, community engagement, and evidence-based crime analysis contribute significantly to property-crime reduction, faster response times, and improved citizen trust. Additionally, the adoption of structured problem-solving frameworks helps police departments identify underlying causes of disorder rather than responding solely to symptoms. However, the study also identifies persistent barriers including resource constraints, uneven officer training, and limited inter-agency data integration. This research contributes to the growing body of policing literature by offering a comprehensive evaluation of multi-layered policing approaches and proposing operational recommendations for enhancing law-enforcement effectiveness and community collaboration. 
Police–Community Relations: Strengthening Trust, Collaboration, and Public Safety Outcomes Veronica Ari Herawati
Jurnal Puruhita Vol. 7 No. 1 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/puruhita.v7i1.37894

Abstract

Police–community relations play a critical role in shaping public trust, ensuring democratic accountability, and improving the effectiveness of law enforcement. This study examines the dynamics between police institutions and communities by assessing levels of trust, communication quality, participation in policing programs, and responsiveness to public concerns. Using a mixed-methods approach involving survey data from 1,250 respondents, structured interviews with police officers and community leaders, and field observations, the study identifies key determinants that influence public perceptions of policing. Quantitative findings reveal that transparent communication and community engagement initiatives significantly predict trust levels (p < 0.01), while qualitative insights highlight persistent challenges such as unequal service distribution and limited public participation in decision-making. Results indicate that collaborative policing programs contribute to reductions in neighborhood disputes, increased reporting rates, and enhanced legitimacy of police actions. The study concludes that strengthening police–community relations requires sustainable engagement strategies, institutional reforms promoting accountability, and the integration of community feedback into operational planning. The research contributes to policing science by offering an evidence-based framework for improving social cohesion, enhancing public safety outcomes, and increasing institutional legitimacy. 
Optimizing Digital Forensic Workflows for Efficient Cybercrime Investigation Processes Istri Wulandari
Jurnal Puruhita Vol. 7 No. 1 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/puruhita.v7i1.37895

Abstract

Digital forensic workflows have become critical in modern cybercrime investigations due to the increasing complexity, volume, and volatility of digital evidence. This study examines the structure, effectiveness, and operational challenges of standardized digital forensic workflows across law enforcement environments. Using a mixed-methods approach consisting of workflow simulations, performance evaluation of forensic tools, and interviews with 32 forensic practitioners, this research identifies key procedural bottlenecks and proposes an optimized workflow model. Quantitative data demonstrate that structured workflows reduce evidence processing time by 28% and increase extraction accuracy from 63% to 88%, particularly when automation and triage tools are applied during the initial phases of analysis. Qualitative results reveal that practitioners rely heavily on standardized protocols for chain-of-custody documentation, imaging integrity, and artifact validation. However, challenges persist in tool interoperability, encrypted data extraction, and cross-platform evidence correlation. The study concludes that digital forensic workflows must balance technical rigor with operational flexibility, integrating automation, standardized procedures, and cross-departmental coordination. Contributions to forensic science include a refined workflow framework, identification of critical performance indicators, and operational recommendations for enhancing the reliability and reproducibility of digital investigations. 
Integrating Smart City Technologies to Enhance Police Performance and Urban Public Safety Cucuk Kristiono
Jurnal Puruhita Vol. 7 No. 2 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/puruhita.v7i2.37896

Abstract

The rapid growth of smart cities offers new opportunities for enhancing policing efficiency, urban safety, and public trust. This study investigates the integration of smart city technologies—such as IoT-based surveillance, real-time data platforms, intelligent traffic systems, and predictive analytics—into modern law-enforcement operations. Using a mixed-methods approach, the research analyzes operational data from three metropolitan smart city projects, along with 58 interviews involving police officers, urban planners, technology developers, and community representatives. Quantitative findings demonstrate that smart city integration reduces emergency response times by 24%, improves crime detection rates by 31%, and enhances traffic incident management by 42% through automated sensors and connected infrastructure. Qualitative results reveal that police officers benefit from improved situational awareness, yet express concerns about data overload, privacy implications, and insufficient interoperability among digital systems. The study concludes that smart city technologies significantly strengthen public safety when supported by robust governance, ethical data management, and inter-agency collaboration. This research contributes to urban safety science by offering a comprehensive framework for aligning policing functions with smart city infrastructures to achieve sustainable and citizen-centered outcomes. 
Enhancing Police Training and Competency Development through Modern Instructional Frameworks Budi Susanto
Jurnal Puruhita Vol. 7 No. 2 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/puruhita.v7i2.37898

Abstract

Police training and competency development are central to ensuring effective, ethical, and accountable law-enforcement performance. As public expectations rise and the complexity of policing challenges increases, modern police agencies must adopt training frameworks that emphasize technical proficiency, communication skills, cultural awareness, and critical decision-making. This study examines the effectiveness of contemporary training models by combining survey data from 920 police officers, structured interviews with training instructors, and field observations at three police academies. Quantitative findings indicate that scenario-based training, de-escalation modules, and digital learning tools significantly improve officers’ operational readiness (p < 0.01). Qualitative results suggest that blended learning, mentorship structures, and continuous competency assessments enhance adaptability and long-term performance. Despite progress, challenges persist, including insufficient training time, uneven access to technological resources, and limited emphasis on emotional intelligence and community engagement. The study concludes that integrated, evidence-based training systems—combining pedagogical innovation, technological enhancement, and continuous evaluation—are essential for strengthening policing standards and improving public trust. This research contributes to policing science by providing a structured framework for competency-based training reform and aligning instructional practices with contemporary operational demands. 
Enhancing Law Enforcement Efficiency Through Integrated Smart Policing Systems Setiadi Setiadi
Jurnal Puruhita Vol. 7 No. 2 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/puruhita.v7i2.37899

Abstract

Smart policing has emerged as a transformative approach to modern law enforcement, leveraging digital technologies, real-time analytics, and interconnected platforms to improve public safety outcomes. This study examines how integrated smart policing systems—comprising IoT sensors, predictive analytics, digital evidence platforms, and automated surveillance networks—reshape police operations in urban environments. Using a mixed-methods design, the research analyzes operational data from three metropolitan areas using smart policing frameworks, supplemented by interviews with 46 police officers, IT specialists, and community stakeholders. Quantitative findings demonstrate a 28% improvement in emergency response times and a 34% increase in crime detection accuracy following the deployment of smart policing tools. Qualitative insights highlight enhanced situational awareness but also emphasize challenges related to data overload, technical interoperability, privacy concerns, and the need for sustained training. The study concludes that smart policing can significantly strengthen law enforcement efficiency when supported by robust governance, ethical data management, and collaborative partnerships. This research contributes to the field of policing studies by providing a comprehensive understanding of how intelligent technologies can be responsibly integrated into daily police operations to build safer communities. 
Enhancing Crime Prevention and Patrol Efficiency Through Geospatial Policing Systems Ririh Dewi Widowati
Jurnal Puruhita Vol. 7 No. 2 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/puruhita.v7i2.37900

Abstract

Geospatial policing has become a central innovation in modern law enforcement, utilizing geographic information systems (GIS), spatial analytics, and predictive mapping to identify crime patterns and guide strategic resource deployment. This study examines the operational impact, methodological foundations, and challenges of integrating geospatial intelligence into urban policing. A mixed-methods approach was applied, combining analysis of five years of crime data from three metropolitan jurisdictions with interviews involving 44 police officers, GIS analysts, and community representatives. Quantitative results show that geospatial mapping improves hotspot detection accuracy by 29% and reduces response time in high-crime areas by 17% when integrated with targeted patrol strategies. Spatial clustering techniques also enhanced officers’ situational awareness and improved crime prevention planning. Qualitative findings highlight challenges related to data quality, analytical skill gaps, and technological interoperability between GIS platforms and legacy police systems. The study concludes that geospatial policing significantly strengthens proactive law enforcement by generating spatially informed insights, optimizing patrol routes, and supporting evidence-based decision-making. Contributions to policing science include a comprehensive analytic framework for applying geospatial tools in operational contexts and recommendations for improving governance, training, and community transparency. 

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