Digitalisasi Layanan Posyandu Desa Selur melalui Sistem SIKEMAS

This community service activity implemented SIKEMAS (Sistem Informasi Pencatatan Kesehatan Masyarakat), a web-based health information system, to support Posyandu service recording in Selur Village, Ponorogo, where paper registers were previously used. The activity was conducted through four stages: field observation, system development, implementation accompanied by training for community service students and village cadres, and evaluation. During a Posyandu session on 14 August 2026, three users—two community service students from a health study program assisting village cadres and one administrator—recorded health examinations of 37 toddlers. Nutritional status was analyzed for 34 toddlers using z-scores based on the Indonesian Child Anthropometry Standards (Ministry of Health Regulation No. 2 of 2020). Centralized data storage enabled recap and analysis without manual re-entry. SIKEMAS has the potential to minimize data loss and duplicate records, although its quantitative impact was not measured. Anthropometric analysis identified 5 toddlers (14.7%) as underweight or severely underweight and 7 toddlers (20.6%) as stunted or severely stunted; these figures reflect a single-session recording rather than village-wide prevalence. Continuous cadre assistance and data validation are required to improve record completeness in subsequent Posyandu activities.

Authors

Institutions

Publication Details

Journal
AJAD Jurnal Pengabdian kepada Masyarakat
Published
2026-10-26
DOI
https://doi.org/10.59431/ajad.v6i3.1044
Primary Topic
Public Health and Nutrition
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digitalisasi Layanan Posyandu Desa Selur melalui Sistem SIKEMAS

Tegar Sinabolang, Ahmad Ghoza Hidayatullah, Nurul Alviyah Mungtaqimatit Diniyah, Sugianti Sugianti et al.
AJAD Jurnal Pengabdian kepada Masyarakat
Public Health and Nutrition
article

Digitalisasi Layanan Posyandu Desa Selur melalui Sistem SIKEMAS

Tegar Sinabolang, Ahmad Ghoza Hidayatullah, Nurul Alviyah Mungtaqimatit Diniyah, Sugianti Sugianti, Intan Agustin Kumala Sari
article en

Abstract

This community service activity implemented SIKEMAS (Sistem Informasi Pencatatan Kesehatan Masyarakat), a web-based health information system, to support Posyandu service recording in Selur Village, Ponorogo, where paper registers were previously used. The activity was conducted through four stages: field observation, system development, implementation accompanied by training for community service students and village cadres, and evaluation. During a Posyandu session on 14 August 2026, three users—two community service students from a health study program assisting village cadres and one administrator—recorded health examinations of 37 toddlers. Nutritional status was analyzed for 34 toddlers using z-scores based on the Indonesian Child Anthropometry Standards (Ministry of Health Regulation No. 2 of 2020). Centralized data storage enabled recap and analysis without manual re-entry. SIKEMAS has the potential to minimize data loss and duplicate records, although its quantitative impact was not measured. Anthropometric analysis identified 5 toddlers (14.7%) as underweight or severely underweight and 7 toddlers (20.6%) as stunted or severely stunted; these figures reflect a single-session recording rather than village-wide prevalence. Continuous cadre assistance and data validation are required to improve record completeness in subsequent Posyandu activities.

AJAD Jurnal Pengabdian kepada MasyarakatVol. 6(3)
Muhammadiyah University of Ponorogo (ID)
Openalex Percentile: Top 7%
Public Health and Nutrition
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon