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All Journal Jurnal Media Infotama International Journal of Artificial Intelligence Research JURNAL MEDIA INFORMATIKA BUDIDARMA J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) Journal of Innovation and Future Technology (IFTECH) Journal of Applied Microcontroller and Autonomous System IJISTECH J-SAKTI (Jurnal Sains Komputer dan Informatika)
Prayogi, Denis
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Library & Information Science Social Sciences

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Journal : IJISTECH

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Implementation of Data Mining Using K-medoids Clustering Method for Determining Social Assistance Recipients Nurzainun, Ratnasari; Sinawati, S; Prayogi, Denis
IJISTECH (International Journal of Information System and Technology) Vol 8, No 5 (2025): The February edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i5.372

Abstract

Regarding social assistance, the village head, “Lurah” of Selumit, is currently reviewing data on residents based on government-provided statistics on the capabilities of low-income families and the need for social assistance.  Therefore, this study proposes K-medoid clustering to ensure that the assistance provided is appropriate. The study collected 62 data on social assistance recipients consisting of 6 criteria, namely employment, assets, income, jak (who are still dependents), home status, and home conditions. K-Medoids analysis using the Euclidean distance function with K=3 produces cluster 1 with 12 data, cluster 2 with 31 data, and cluster 3 with 19 data. The recipients prioritized to receive social assistance are the data in cluster 2 by calculating the average of the most considerable maximum weight value.
Implementation of an Integrated Information System for Construction Services Development to Support Infrastructure Projects at the Public Works Department of Tarakan City Hadriansa, H; Prayogi, Denis; Fadlan, Muhammad; Fandariansyah, F
IJISTECH (International Journal of Information System and Technology) Vol 8, No 5 (2025): The February edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i5.373

Abstract

Efficient infrastructure development requires effective management, particularly in developing construction services. The Public Works (PU) Department of Tarakan City faces challenges in overseeing and guiding construction service providers to ensure smooth execution and project quality. This study aims to design and implement an integrated information system using the Scrum method, which supports construction service development, project progress monitoring, contractor data management, and budget supervision. Scrum was chosen to enhance flexibility and collaboration among development teams by allowing the system to be built iteratively and incrementally. The system is designed to improve transparency, efficiency, and accuracy in managing construction projects. The implementation results show that applying the Scrum method in developing the integrated information system has successfully accelerated the verification process, reduced administrative errors, and improved budget control. Additionally, the system has increased project management efficiency, expedited decision-making, and facilitated monitoring and evaluation processes. This study recommends further development and expansion of the system to support more effective construction service development in the future
Co-Authors Abdul Fadlil Achmad Dahlan Aidil Aidil Basuki Rahmat Endyk Noviyantono Fadlan, Muhammad Fandariansyah, F Hadriansa, H Hadriansa, Hadriansa Harianto, Kandi Haryansyah Haryansyah Heri Heri Irawansyah Irawansyah MARIA BINTANG MUHAMMAD FADLAN Muhammad Muhammad Nurhamida Nurhamida Nurzainun, Ratnasari S Sunardi Sinawati, S Sunardi Sunardi Suryansyah Suryansyah Victor Christalomegatli Yuda Agus Saputra Zulhilmi, Hafizhan