Claim Missing Document
Check
Articles

Found 2 Documents
Search

Pengenalan Literasi Digital Siswa-Siswi SMP Rahmatullah Al Maarif Darek Lombok Tengah Ayes Malona Siboro; Fajarani Choirunnisa; Hikmal Maulana Ramadhan; Laili Isna Febriani; Muhammad Fabian Isnaeni; M. Syahrul; Salsabila Hadi Putri Ningrum; Satriawan Pradana; Syifa Salsabila Satya Graha; Dina Eka Putri; Irwansyah Irwansyah; Nuzla Af'idatur Robbaniyyah; Salwa Salwa
Transformasi Masyarakat : Jurnal Inovasi Sosial dan Pengabdian Vol. 1 No. 3 (2024): Juli : Transformasi Masyarakat : Jurnal Inovasi Sosial dan Pengabdian
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/transformasi.v1i3.149

Abstract

Community service in the form of workshop on digital literacy at Rahmatullah Al-Ma'arif Darek Junior High School in Central Lombok aimed to improve students' understanding of digital literacy through a systematic evaluation process. The pre-test showed a low initial level of understanding, which significantly improved after the workshop. Statistical analysis using a t-test showed the effectiveness of the workshop in improving students' digital literacy. This research underscores the importance of ICT education and the need to include digital literacy initiatives in basic education. The findings provided additional insights for educators and policy makers in promoting digital skills among students, especially in rural areas.
Provincial Segmentation Based on K-Medoids Clustering for Risk Factor Mapping and Targeted Intervention of Stunting in Indonesia Dina Eka Putri; Syifa Salsabila Satya Graha; Baiq Fitria Rahmiati
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 10 No 1 (2026): June 2026
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v10i1.707

Abstract

Stunting is a multidimensional, chronic nutritional problem shaped by maternal health, caregiving practices, and environmental conditions. This study segments all 38 Indonesian provinces based on ten stunting risk indicators from the 2023 Indonesian Health Survey (SKI) using K-Medoids Partition Around Medoids (PAM) with Median-MAD robust scaling and Manhattan distance. Four optimal clusters were identified (Average Silhouette Width, ASW = 0.425). Sanitation access structurally separates the Papua highlands cluster. Four distinct provincial profiles emerged: (1) good WASH, moderate ANC and breastfeeding gaps; (2) good WASH with high maternal nutritional burden; (3) high anemia despite good service coverage; and (4) severe WASH deficit with low ANC. Cluster-specific policy recommendations are aligned with Indonesia’s existing programmes, i.e. Asta Cita 4, Gerakan Nasional Percepatan Perbaikan Gizi (Gernas PPG), the Thousand Days of Life (HPK) programme, and SDG 2, with targeted enhancements addressing identified gaps.