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All Journal Jurnal IPTEK Bagi Masyarakat Jurnal of Information Technology and Society (JITS)
Husna Saleh
Institut Kesehatan dan Teknologi Graha Medika
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Education Mechanical Engineering Physics Public Health Social Sciences

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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
K-Means Segmentation for Differentiated MSME Digital Assistance Using DIGI-UMKM Chandra Wisnu Nugroho; Husna Saleh; Leonard Maramis; Siti Nur Asia; Suhenrik P
Jurnal IPTEK Bagi Masyarakat Vol 6 No 2 (2026)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/j-ibm.v6i2.1880

Abstract

Digital transformation among MSMEs requires differentiated assistance because digital use, literacy, barriers, service needs, and readiness vary across businesses. This applied quantitative study developed the DIGI-UMKM prototype and analysed 18 of 20 MSME records using a 74-item instrument across five dimensions. Mean scores were 2.76 for digital service use, 3.36 for digital literacy, 2.89 for digitalisation barriers, 4.13 for service needs, and 3.58 for transformation readiness. K-Means produced three operational groups: Basic Digital MSME (5.6%), Developing Digital MSME (72.2%), and Digital Transformation-Ready MSME (22.2%). The initial activity evaluation averaged 3.79/4. DIGI-UMKM therefore provides a decision-support mechanism for differentiated digital assistance, although the findings remain local empirical evidence because of the limited purposive sample.
Co-Authors Chandra Wisnu Nugroho La Ode Muh. Armadi AM Leonard Maramis Muh. Ikhwan Mardin Sarni Alex Sandra Sigrid Tamriesfatno Siti Nur Asia Suhenrik P