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All Journal Gema Kampus IISIP YAPIS Biak Jurnal Teknik Informatika (JUTIF)
Arafat, Arafat
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Humanities Computer Science & IT Economics, Econometrics & Finance Environmental Science Languange, Linguistic, Communication & Media Social Sciences

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Designing an AI-Based Village Information System Using Research and Development Approach for Public Governance Modernization in Popalia Village Arafat, Arafat; Rasyid, Rasmiati; Hestiana, Sry; Rendi, Rendi; Bantun, Suharsono; Sari, Jayanti Yusmah
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5257

Abstract

The COVID-19 pandemic has highlighted the challenges faced by village administrations in managing public services that remain highly manual, inefficient, and prone to errors. This study aims to design an Artificial Intelligence (AI)-based Village Information System to improve administrative efficiency, accuracy, and accessibility. The research employs a Research and Development (R&D) approach through requirement analysis, system design, prototype development, integration of an AI Generative Model and a Natural Language Processing (NLP) chatbot, followed by functional testing using the Black-box method and usability evaluation with the System Usability Scale (SUS). The results show that functional testing achieved a 95% pass rate and the SUS evaluation scored 87.0, placing the system in the “Excellent” category. These findings indicate that the system effectively automates document creation, validates citizen data, and supports interactive services through an NLP-based chatbot. The study contributes to the modernization of digital village governance in Indonesia by demonstrating how AI integration can reduce administrative workload, minimize errors, and enhance service quality.
QUALITY OF PUBLIC SERVICES BY NORTH KOLAKA SOCIAL SERVICE: SOCIAL ASSISTANCE IN LAMBAI Firdaus, Firdaus; Delviana, Ayu; Arafat, Arafat; Ribcalia Septiana, Anis
Gema Kampus IISIP YAPIS Biak Vol 20 No 2 (2025): "Gema Kampus" IISIP YAPIS Biak
Publisher : IISIP YAPIS BIak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52049/gemakampus.v20i2.470

Abstract

Social assistance services at the Social Service Office of North Kolaka Regency are still not operating effectively, with the main issues identified being the low quality of information provided, limited facilities, and the lack of employees' ability to utilize technology. Some employees still face difficulties in operating computers due to insufficient training and understanding of technology. This situation results in slow and inefficient service processes, negatively impacting community satisfaction levels. This study aims to assess the quality of public services, particularly in the context of social assistance to the needy in the Lambai District. The research findings indicate the presence of obstacles, such as a limited number of field officers and slow data collection conducted by Social Service employees for the underprivileged community. Nevertheless, the service process has been reasonably effective, especially for vulnerable groups such as persons with disabilities, the elderly, disaster victims, and extremely poor communities. Assistance is provided based on the Integrated Social Welfare Data (DTKS) and field assessments to ensure target accuracy. Furthermore, the community understands their rights and obligations and actively participates in the service process alongside village officials and social companions, with services delivered in a friendly, fair, and non-discriminatory manner. Therefore, it is advisable for the Social Service Office to intensify outreach and educational initiatives concerning the service procedures, especially the verification and reapplication stages, in order to improve public comprehension and foster greater engagement in social assistance programs.
Co-Authors Bantun, Suharsono Delviana, Ayu Firdaus Firdaus Hestiana, Sry Jayanti Yusmah Sari Rasmiati Rasyid Rendi Rendi, Rendi Ribcalia Septiana, Anis