Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal of Information Technology and Society (JITS) Jurnal Akademik Pengabdian Masyarakat
Sarni Alex Sandra
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Clustering Aktivitas Olahraga Siswa untuk Evaluasi Kesehatan Fisik Tamriesfatno, Sigrid; 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
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.
Co-Authors Husna Saleh La Ode Muh. Armadi AM Muhamad Irwin Syawal Muhammad As'ad Muhammad Ikhwan Mardin Muhammad Ikhwan Mardin Riska Kherani Sarwono Sarwono Tamriesfatno, Sigrid