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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Ilmu Komputer dan Agri-Informatika Scan : Jurnal Teknologi Informasi dan Komunikasi Indonesian Journal of Business and Entrepreneurship (IJBE) Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Ilmiah KOMPUTASI JOURNAL OF APPLIED INFORMATICS AND COMPUTING J I M P - Jurnal Informatika Merdeka Pasuruan Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Antivirus : Jurnal Ilmiah Teknik Informatika ILKOMNIKA: Journal of Computer Science and Applied Informatics Just TI (Jurnal Sains Terapan Teknologi Informasi) TEPIAN Teknomatika (Jurnal Teknologi dan Informatika) Buletin Poltanesa Jurnal Lentera Pengabdian Journal of Geomatics Engineering, Technology, and Science
Karim, Syafei
Politeknik Pertanian Negeri Samarinda
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Social Sciences Other

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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

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Web-Based Mapping of Crime-Prone Areas in Samarinda Seberang and Loa Janan Ilir Districts, Samarinda Citys Karim, Syafei; Prasetya, F.V. Astrolabe Sian; Sundarti, Anisa
Journal of Applied Informatics and Computing Vol. 8 No. 1 (2024): July 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v8i1.5151

Abstract

The development of Geographic Information System (GIS) technology has provided significant benefits in various fields, including the monitoring of crime-prone areas. GIS is used to minimize the traces of these crimes. This study aims to map crime-prone areas in the Samarinda Seberang and Loa Janan Ilir Districts to identify which areas are potentially vulnerable, allowing for analysis for prevention and handling. The data used were collected from theft cases that occurred in these districts in 2019 and 2020. The research employs a scoring technique where each parameter is rated according to its classification. The results of the scoring process are then analyzed to determine the level of crime-prone areas, categorizing them as very vulnerable, vulnerable, or not vulnerable. Based on respondents' feedback, the application facilitates users in locating crime-prone areas, with 94.34% of responses indicating agreement or strong agreement. These results suggest that the application is feasible for implementation.
Co-Authors Alam, Muhammad Wahyu Syafiul annafi franz, annafi Annafi’ Franz Ayu Lestari Bagus Satria Bagus Satria Dawamul Arifin Dian Pratiwi Nurdin Egi Noviandra, Muhammad Eko Junirianto Eko Junirianto Emil Riza Putra Erna Mulyati F. V. Astrolabe Sian Prasetya Fajar Ramadhani Fajar Ramadhani Fajar Ramadhani Fajar Ramadhani Herdi Syam Husmul Beze, Husmul Ida Maratul Khamidah Imam Kuswardayan Imron Imron Imron Imron Imron, Imron Junirianto, Eko Kardika, Adelia Juli Kevin Rivaldi Sosang Linda Linda Linda Linda M. Zaenal Abidin Maria, Eny Maulita Milatus Sholihah Mukarromah Muhammad Ari Pratama Murti, Darlis Heru Muslimin B, Muslimin Muslimin Muslimin Nia Kurniadin Nur Aini Nurhuda, Asep Pratiwi Wijayanti Puji Astuti Amalia Rachmadani, Budi Reza Andrea Riko Raynol Hasan Ronaldo Pascalis Naro Rudito Rudito Salsabila, Unik Hanifah Satria, Bagus Shanty Yahya Sry Wahyuni Suci Ramadhani Suci Ramadhani, Suci Sundarti, Anisa Suswanto Suswanto Suswanto, Suswanto Tarsius Aloysius Pedor Wahyuni Eka Sari Winda Surmanti Yulianto Yulianto Yulianto Yulianto Yulianto