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All Journal snimed Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Penggunaan Media Sains Flipbook dalam Pembelajaran IPA di Sekolah Dasar AJIE (Asian Journal of Innovation and Entrepreneurship) JURNAL INSTEK (Informatika Sains dan Teknologi) Compiler Jambura Journal of Informatics Zonasi: Jurnal Sistem Informasi Automata JoMMiT : Jurnal Multi Media dan IT Rahmatan Lil’alamin Journal of Community Services (RLA) Teknomatika: Jurnal Informatika dan Komputer Journal of Applied Research In Computer Science and Information Systems
Setiaji, Hari
Program Studi Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia, Yogyakarta, Indonesia.
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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K-Means Clustering for Identifying Traffic Accident Hotspots in Depok City Wahyono, Herry; Setiaji, Hari; Hartati, Tri; Wiliani, Ninuk
Journal of Applied Research In Computer Science and Information Systems Vol. 2 No. 1 (2024): June 2024
Publisher : PT. BERBAGI TEKNOLOGI SEMESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61098/jarcis.v2i1.182

Abstract

This study applies the K-Means clustering algorithm to support decision-making processes related to identifying traffic accident-prone areas in Depok City over a three-year period (2020-2022). Secondary data was obtained from the Traffic Accident Unit of the Depok Metro Police, encompassing monthly traffic accident recapitulations for each district. The data underwent preprocessing steps, including integration and selection of relevant attributes. Using RapidMiner, the data was clustered into three distinct groups, with the optimal number of clusters determined by the Davies-Bouldin Index (DBI), which yielded a score of 0.896, indicating a satisfactory clustering result. The findings reveal that four districts—Beji, Cimanggis, Pancoran Mas, and Sukmajaya—are identified as high-risk areas for traffic accidents. These results are expected to assist local authorities in implementing targeted safety measures. The study demonstrates that the K-Means clustering method is a viable tool for analyzing traffic accident data and can significantly contribute to improving road safety in urban areas
Pengaruh Literasi Digital dan Kepercayaan terhadap Penggunaan Layanan Kependudukan: Studi Perubahan Data akibat Pemekaran: indonesia Haq, Sumayyah Tsabitul; Paputungan, Irving Vitra; Setiaji, Hari
Asian Journal of Innovation and Entrepreneurship Volume 10, Issue 1, January 2026
Publisher : UII

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ajie.vol10.iss1.art1

Abstract

The digital transformation of population administration services has become a strategic effort to enhance the efficiency of public services, especially in regions undergoing administrative expansion. This study aims to examine the influence of digital literacy, trustworthiness, and system quality on user behavior in utilizing the SIPENDUDUK online service in Pekanbaru, Indonesia. A quantitative approach was applied using a survey method involving 400 respondents, determined through Slovin’s formula with a 5% margin of error. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess both measurement and structural models. The results reveal that digital literacy and trustworthiness significantly affect users perceived usefulness and ease of use, which in turn influence their intention to use and actual usage behavior. Among these, trustworthiness was found to be the most dominant factor directly affecting the intention to use, while digital literacy enhances user perceptions of system benefits and usability. Although system quality contributes to perceived ease of use and usefulness, it does not directly influence the intention to use. These findings highlight the importance of strengthening public trust and improving digital competence to support the successful adoption of digital government services, particularly in the context of dynamic population data management in newly expanded areas.
Co-Authors Afifah, Khairina Afuan Fajrian Putra arief ramadhan setiadi Beni Suranto DIMAS DANU BUDI PRAKTIKTO Elbo Shindi Pangestu FADEL PAMUNGKAS Fathul Wahid Ghifari, Irfanda Naufal Hamidah, Nelly Nur haq, sumayyah tsabitul Hendrik Hendrik Heydar Arif Satrio Hikmah Muliandari Indah Utami Ilyas Irfanda Naufal Ghifari Kusumawati, Amalia Citra Lalu Ahdiyat Alfian Hadi Lazuardy, Ainayya Ghassani Maulana, Wildan Muhammad Ridwan Wibowo Nabillah R Niky Ayu Lestari Ninuk Wiliani Nugraha, Giri Okssa Ami Santosa Olilingo, Fadhilah Linti Paputungan, Irving Putra Paputungan, Irving Vitra Rafi Hidayat Tarmizi Rahadian Kurniawan Rahmad Subekti Rifqi Taufiq Maulana Saputra, Adysta Galang Iman Anugrah Setiani, Novi Sita Dewi Kusumaningrum Sita Dewi Kusumaningrum Sita Dewi Kusumaningrum, Sita Dewi Tri Hartati, Tri Wahyono, Herry Wildan Maulana