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All Journal JOURNAL OF SCIENCE AND SOCIAL RESEARCH COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi
Desi Irfan
Institut Teknologi dan Kesehatan Ika Bina
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Mechanical Engineering Social Sciences Transportation

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K-Means Clustering for Prospective Student Interest Segmentation Based on Study Program Preferences Riszki Fadillah; Intan Nur Fitriyani; Desi Irfan
COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Vol 7, No 1 (2026): Sustainable Information Technology Innovation Supports a Digital-Based Smart Eco
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/coreai.v7i1.15775

Abstract

Higher education institutions in the Labuhanbatu Raya region face challenges in understanding the interests of prospective students. Data collected from 1,722 prospective students at 29 high schools has been stored but has not yet been optimally utilized to support student recruitment and admissions strategies. This study aims to apply the K-Means algorithm to cluster prospective students’ interests based on their preferred degree programs. The research methodology included data collection, feature selection, data cleaning, transforming categorical data to numerical using label encoding, determining the optimal number of clusters using the Elbow method, clustering with the K-Means algorithm, evaluating cluster quality using the Silhouette Score, and visualizing and interpreting the clustering results. The findings indicate that the optimal number of clusters is K = 3, with a Silhouette Score of 0.3695, indicating fairly good clustering quality. The cluster distribution shows that Cluster 0 consists of 19 schools (65.52%) with relatively homogeneous interest patterns, Cluster 1 consists of 9 schools (31.03%) with more diverse interest patterns, and Cluster 2 consists of only 1 school (3.45%) with a very distinct interest profile. The K-Means algorithm proved effective in clustering schools based on prospective students’ program preferences.
SISTEM INFORMASI PEMBELAJARAN JARAK JAUH BERBASIS WEB PADA SDN 04 AIR PURA Putri Ramadani; Maisan Dewi Puspa Khairani; Desi Irfan; Nur Aini
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 3 (2026): June 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i3.6752

Abstract

Abstract: The rapid digital transformation in Indonesian primary education has shifted from an emergency response to a long-term structural necessity. However, primary schools in areas with limited infrastructure, such as UPT SDN 04 Air Pura, still face significant challenges regarding the digital divide and the lack of integrated information systems. This research aims to design and implement a web-based Distance Learning Information System to bridge the gap between academic administration and online learning delivery. Applying the Waterfall development method, this system integrates features for managing student data, attendance, assignments, and digital grade reports within a single platform. Built using PHP, MySQL, and the CodeIgniter framework, the system provides an efficient, accurate, and accessible solution for teachers, students, and school administrators. Black box testing confirms that the system functions fully and effectively, offering a viable solution for sustainable distance learning and improving digital education equity in regions with limited telecommunications infrastructure. Keywords: Distance Learning, Information System, Web-Based, Primary Education, Waterfall   Abstrak: Transformasi digital dalam pendidikan dasar di Indonesia telah menjadi kebutuhan struktural jangka panjang. Namun, sekolah dasar di wilayah dengan keterbatasan infrastruktur, seperti UPT SDN 04 Air Pura, masih menghadapi tantangan kesenjangan digital dan ketiadaan sistem informasi terintegrasi. Penelitian ini bertujuan untuk merancang dan membangun Sistem Informasi Pembelajaran Jarak Jauh berbasis web guna mengintegrasikan administrasi akademik dan penyampaian materi pembelajaran. Dengan menerapkan metode pengembangan Waterfall, sistem ini mengintegrasikan fitur manajemen data siswa, absensi, tugas, dan raport digital dalam satu platform. Aplikasi yang dibangun menggunakan bahasa pemrograman PHP, basis data MySQL, dan framework CodeIgniter ini terbukti mampu menyediakan solusi yang efisien, akurat, serta mudah diakses bagi guru dan siswa. Hasil pengujian black box menunjukkan bahwa sistem berfungsi secara optimal dan siap mendukung keberlanjutan pembelajaran jarak jauh, sekaligus berkontribusi terhadap pemerataan akses pendidikan digital di tingkat sekolah dasar dengan infrastruktur terbatas. Kata kunci: Pembelajaran Jarak Jauh, Sistem Informasi, Berbasis Web, Pendidikan Dasar, Waterfall
Co-Authors Intan Nur Fitriyani Maisan Dewi Puspa Khairani Nur Aini Putri Ramadani Riszki Fadillah