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Pembentukan Kelompok Belajar Efektif Berbasis Algoritma Clustering untuk Meningkatkan Kualitas Pembelajaran di SD Negeri Ganrang Jawa II Muhammad Ikhwan Mardin; Sigrid Tamriesfatno; La Ode Muh. Armadi AM; Sarwono Sarwono; Muhamad Irwin Syawal; Riska Kherani; Muhammad As'ad; Sarni Alex Sandra
JURNAL AKADEMIK PENGABDIAN MASYARAKAT Vol. 4 No. 1 (2026): Januari
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/japm.v4i1.8926

Abstract

This community service program aims to form effective student learning groups based on clustering algorithms to improve the quality of learning at SD Negeri Ganrang Jawa II. The main problem faced by teachers is the difficulty in dividing students into learning groups evenly based on academic ability, as well as students’ tendency to choose their own friends when working in groups. These conditions result in unbalanced and less effective learning groups. To address this problem, the K-Means Clustering algorithm is applied to group students based on academic scores, so that each group consists of students with high, medium, and low abilities. The service method includes collecting student academic data, implementing the clustering algorithm, and assisting teachers in applying the learning groups. The results show that the distribution of learning groups becomes more balanced, student interaction increases, and the learning process runs more effectively. Therefore, the application of clustering algorithms can serve as an innovative solution to support collaborative learning strategies in elementary schools.
Clustering Aktivitas Olahraga Siswa untuk Evaluasi Kesehatan Fisik: Clustering Aktivitas Olahraga Siswa untuk Evaluasi Kesehatan Fisik Sigrid Tamriesfatno; Muh. Ikhwan Mardin; La Ode Muh. Armadi AM; Husna Saleh; Sarni Alex Sandra
Jurnal Teknologi Informasi dan Masyarakat Vol 3 No 1 (2025): Journal of Information Technology and Society (JITS)
Publisher : Universitas Muhammadiyah Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35438/jits.v3i1.1419

Abstract

Sufficient and regular physical activity plays an important role in supporting students' physical, mental, and social health. However, variations in exercise habits necessitate a more objective evaluation of students' physical activity levels. This study aims to categorize students' sports activities based on duration and distance using the K-Means algorithm, in order to evaluate exercise patterns and provide relevant information for the development of physical fitness coaching programs. Data were collected from 30 students and analyzed using an unsupervised learning approach. The clustering results formed three main clusters: (1) students with low activity, short duration, and high BMI values; (2) students with moderate activity, ideal duration, and normal BMI values; and (3) students with very high activity, long duration, and consistently healthy BMI values. These findings indicate that clustering methods are effective in identifying groups of students based on their exercise habits and can serve as a foundation for fitness improvement strategies. Keywords: Physical Activity, K-Means Clustering, Exercise Habits
Design of a Web-Based Final Project Title Submission Information System Using the CodeIgniter Framework Armadani Armadani; Alfiah Fajriani; Zila Razilu; Sigrid Tamriesfatno; Muhammad Ikhwan Mardin
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 2 (2026): April: Jurnal Sains Student Research
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i5.12592

Abstract

Perkembangan teknologi informasi telah mendorong digitalisasi berbagai layanan akademik di perguruan tinggi, termasuk proses administrasi tugas akhir mahasiswa. Penelitian ini bertujuan merancang dan membangun sistem informasi pengajuan judul tugas akhir berbasis website untuk meningkatkan efektivitas proses pengajuan dan pengelolaan judul tugas akhir, memudahkan mahasiswa dalam mengajukan judul, mendukung staf program studi dalam pengelolaan administrasi dan rekapitulasi data, serta membantu ketua program studi dalam proses verifikasi dan persetujuan judul secara online. Penelitian menggunakan model Waterfall yang meliputi analisis kebutuhan, perancangan, implementasi, pengujian, dan penerapan sistem. Sistem tersebut diimplementasikan menggunakan framework CodeIgniter dan basis data MySQL. Hasil penelitian menunjukkan bahwa sistem informasi pengajuan judul tugas akhir berbasis website berhasil dirancang dan dibangun sehingga mampu mengintegrasikan seluruh proses pengajuan judul tugas akhir secara online dan meningkatkan efisiensi pengelolaan administrasi akademik. Sistem ini memudahkan mahasiswa dalam mengajukan judul dan memantau status pengajuan, memudahkan staf program studi dalam mengelola data pengajuan, melakukan administrasi, dan menyusun rekapitulasi data, serta memudahkan ketua program studi dalam melakukan verifikasi, persetujuan judul, penentuan dosen pembimbing, dan pengelolaan data pengajuan secara terintegrasi. Hasil pengujian Black Box menunjukkan bahwa seluruh fungsi sistem berjalan sesuai kebutuhan pengguna sehingga sistem dinyatakan layak untuk mendukung proses pengajuan judul tugas akhir di Program Studi Pendidikan Teknologi Informasi Universitas Muhammadiyah Kendari.