Artikel Analisis Kapasitas Sistem Informasi ELSIMIL dalam Mendukung Kebijakan Percepatan Penurunan Stunting di Jawa Timur

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Authors

  • Abdul Fatah Fanani Universitas Wijaya Putra Surabaya
  • Sri Handayani Universitas Islam Raden Rahmat Malang
  • Ermatry Hariani Universitas Wijaya Putra Surabaya

DOI:

https://doi.org/10.36636/jogiv.v8i1.9959

Keywords:

Stunting, Sistem Informasi Kesehatan, ELSIMIL, Kebijakan Berbasis Data, Health Metrics Network

Abstract

Stunting remains a complex public health issue in Indonesia, necessitating the support of a reliable information system for data-driven interventions. This study aims to analyze the capacity of the Electronik Siap Nikah dan Hamil (ELSIMIL) information system in supporting policies to accelerate stunting reduction in East Java Province. The study employs a quantitative research method with a descriptive approach involving 2,644 respondents who are ELSIMIL users across multiple administrative levels. Data were collected through a questionnaire based on the Health Metrics Network (HMN) framework, covering the dimensions of resources, indicators, data sources, data management, dissemination, and data quality. The findings indicate that the overall capacity of the ELSIMIL system is moderately adequate, particularly in terms of indicator relevance, data availability, and the utilization of information for decision-making. However, several challenges persist, including disparities in digital infrastructure, variations in user capacity, limited system interoperability, as well as issues related to data quality and timeliness. These findings underscore the need to strengthen governance, enhance human resource capacity, improve system integration, and expand technological infrastructure. Therefore, optimizing ELSIMIL as a data-driven information system is essential to support the effectiveness and sustainability of stunting reduction policies.

References

Information Management 18(5): 531–47. https://doi.org/10.1108/17410390510623990. DOI: https://doi.org/10.1108/17410390510623990

Pressman, Jeffrey L, and Aaron B Wildavsky. 1973. Implementation: How Great Expectations in Washington Are Dashed in Oakland, Etc. University of California P.

Putra, Gede Wirabuana, Putu Erma Pradnyani, and Kadek Rosi Arista Dewi. 2025. “Evaluasi Penggunaan Aplikasi Elektronik Siap Nikah Dan Hamil (ELSIMIL) Dengan Pendekatan Technology Acceptance Model (TAM) Di Kabupaten Karangasem Tahun 2024.” Jakadiksi 4(2): 68–75. DOI: https://doi.org/10.36002/jdk.v4i2.4109

Septiyani, Desi. 2024. “Analisis Kepatuhan Penggunaan Aplikasi Elsimil Dalam Penurunan Angka Stunting Di Kota Metro.” Miracle Journal of Public Health (MJPH) 7(2).

Sri, Nurma, and Mudhiana Fatimah. 2023. “Efektivitas Aplikasi Sayang Warga Sebagai Penunjang Kinerja Kader Surabaya Hebat.” Prosiding Seminar Nasional: 498–508.

Sugiyono. 2016. Alfabeta, Bandung Metode Penelitian Kunatitatif Kualitatif Dan R & D.

———. 2018. Metode Penelitian Kuantitatif. Bandung: Alfabeta.

Sugiyono, Prof Dr. 2019. “Metode Penelitian Kuantitatif Kualitatif Dan R&D (M. Dr. Ir. Sutopo. S. Pd.” ALFABETA, cv.

Sulistyawati, Wiwik, Wahyudi, and Sabekti Trinuryono. 2022. “Analisis (Deskriptif Kuantitatif) Motivasi Belajar Siswa Dengan Menggunakan Model Pembelajaran Blended Learning Saat Pandemi Covid-19 (Deskriptif Kuantitatif Di Sman 1 Babadan Ponorogo).” KadikmA 13(1): 68. DOI: https://doi.org/10.19184/kdma.v13i1.31327

Victora, Cesar G et al. 2008. “Maternal and Child Undernutrition 2 Maternal and Child Undernutrition : Consequences for Adult Health and Human Capital.” 371: 340–57. DOI: https://doi.org/10.1016/S0140-6736(07)61692-4

World Health Organization. 2025. Reducing Stunting in Children: Equity Considerations for Achieving the Global Nutrition Targets 2025.

Published

2026-03-30

How to Cite

Artikel Analisis Kapasitas Sistem Informasi ELSIMIL dalam Mendukung Kebijakan Percepatan Penurunan Stunting di Jawa Timur: -. (2026). Journal of Governance Innovation, 8(1), 619-637. https://doi.org/10.36636/jogiv.v8i1.9959