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All Journal IJID (International Journal on Informatics for Development) AJAD : Jurnal Pengabdian kepada Masyarakat
Raihanah, Syifa
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Humanities Computer Science & IT

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Implementasi Sistem Informasi Pendataan Warga Berbasis Website (Studi Kasus: Perumahan Villa Mutiara Gading 1 RW 18) Sarimole, Frencis Matheos; Azis, Abd; Raihanah, Syifa; Rahmah, Shafira Azzahra Nurul
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 1 (2024): APRIL 2024
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v4i1.280

Abstract

This research aims to implement an efficient Web-Based Information System in collecting data on residents at the Villa Mutiara Gading 1 RW 18 Setia Asih Housing Complex, Tarumajaya, Bekasi Regency. As the digitalization era continues to develop, efficient management of citizen data has become very important in meeting the needs of modern society. The system development method used is a prototype development approach. which involves several stages, namely listening to user needs, building or improving a prototype, and testing the prototype. Various integrated features, such as recording citizen data, financial administration, and announcements, are focused on RW18. The implementation results show an increase in community services, a positive impact on environmental management, as well as increased interaction between RW 18 members and residents. With this system, recording citizen data becomes more efficient, financial administration is organized, and RW18 information can be easily accessed by all residents. The approach used in this research supports the development of a system that is responsive to user needs and can provide significant benefits to society.
K-Means Clustering of Social Studies Performance at Junior High School Tundo; Raihanah, Syifa; Wahyudi, Tri; Sugiyono
IJID (International Journal on Informatics for Development) Vol. 13 No. 2 (2024): IJID December
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2024.4632

Abstract

This study aims to optimize the use of technology in evaluating student performance by grouping students based on their abilities. The main issues include the underutilization of technology, the absence of an appropriate evaluation system for different levels of student ability, and ineffective methods for grouping students. The K-Means Clustering algorithm was chosen because it has proven effective in grouping academic data in various studies. The data used includes Daily Knowledge Scores (DKS), Daily skill scores (DSS), Mid-term Summative Scores (MSS), End-of-Year Summative Scores (ESS), and Grade Report (GR). The data was analyzed using the CRISP-DM methodology with the help of RapidMiner. The results showed that 28.63% of students were classified as having excellent performance, 50.21% as having good performance, and 21.16% as having moderate performance. The Davies-Bouldin Index score of 1.713 for K=3 was considered sufficient for distinguishing the different student performance groups. The results of this study are expected to help schools provide learning support that better aligns with student needs. Future research is recommended to focus on optimizing the number of clusters (K), applying this method to other subjects, and integrating it with e-learning platforms for real-time student performance monitoring.
Co-Authors Azis, Abd Rahmah, Shafira Azzahra Nurul Sarimole, Frencis Matheos Sugiyono Tri Wahyudi Tundo, Tundo