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Contact Name
Hamdani
Contact Email
indexsasi@apji.org
Phone
+628155145193
Journal Mail Official
indexsasi@apji.org
Editorial Address
Jl. Radin Inten II no.53 A. RT 7/RW 14, Duren Sawit, Kec. Duren Sawit, Kota Jakarta Timur, DKI Jakarta, 13440
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INDONESIA
Information System Analysis, Design and Development
ISSN : -     EISSN : 31239781     DOI : 10.66472
Core Subject :
Information System Analysis, Design and Development is a peer-reviewed academic journal that publishes high-quality research on the analysis, design, development, and implementation of information systems that support organizational processes, decision-making, and digital transformation across various sectors, covering topics such as information systems analysis and modeling, systems design methodologies, business process optimization, enterprise systems, information systems governance and alignment, organizational innovation, and the application of information systems in public institutions, education, healthcare, and small and medium-sized enterprises (SMEs). The journal is published in January, April, July, and October.
Arjuna Subject : -
Articles 21 Documents
Accuracy of growth monitoring using KMS/Buku KIA and the e-kaderqu application among Posyandu cadres in North Sangatta, Indonesia: a cross-sectional study Jemy Mende; Ratih Wirapuspita Wisnuwardani; Iwan M Ramdan; Hamdani Hamdani; Riyan Ningsih; Iriyani K
Information System Analysis, Design and Development Vol. 1 No. 4 (2026): October: Information System Analysis, Design and Development
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/isadd.v1i4.798

Abstract

Accurate growth monitoring is essential for detecting nutritional problems among children under five, yet manual Posyandu recording with KMS/Buku KIA remains vulnerable to errors in age determination, plotting, interpretation, and reporting. This study evaluated cadre characteristics associated with manual and digital growth-monitoring accuracy and user acceptance of the e-kaderqu application in North Sangatta, Indonesia. A cross-sectional study was conducted among 64 Posyandu cadres in the working areas of BLUD Puskesmas Sangatta Utara and BLUD Puskesmas Teluk Lingga. Cadre age, education level, duration of service, training history, and knowledge were assessed using questionnaires. Accuracy was tested using standardized dummy toddler data for KMS/Buku KIA age-column determination, growth-chart plotting, and e-kaderqu input. User acceptance was measured using seven indicators and categorized by the median score. All cadres accurately determined the KMS age column. Age was the only significant predictor of KMS/Buku KIA plotting accuracy (odds ratio = 0.885; p = 0.005) and e-kaderqu input accuracy (odds ratio = 0.808; p < 0.001), indicating lower odds of accurate performance with increasing age. Education, training history, duration of service, and knowledge were not significant predictors. Good acceptance of e-kaderqu was reported by 53.1% of cadres, and no measured cadre characteristic significantly predicted acceptance. The findings indicate that e-kaderqu is acceptable across cadre groups, but digital implementation requires practical training, digital mentoring, input validation, and supervision to improve data accuracy.

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