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All Journal jurnal niara JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Penelitian Pendidikan IPA (JPPIPA) Media Ilmu Kesehatan Jurnal Ilmiah Ekonomi Global Masa Kini Jurnal Informasi dan Teknologi SOLUSI Jatilima : Jurnal Multimedia Dan Teknologi Informasi Jurnal Evaluasi dan Pembelajaran Jurnal Bina Ilmu Cendekia Jurnal Kesehatan Tambusai Jurnal Pendidikan dan Teknologi Indonesia ARBITRASE: JOURNAL OF ECONOMICS AND ACCOUNTING Multica Science and Technology Jurnal Keperawatan MINERAL Jurnal Lintas Keperawatan Jurnal Indonesia Sosial Sains JAKTABANGUN: Jurnal Akuntansi dan Pembangunan Jurnal Saintifik Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Keperawatan Notokusumo "JAMASTIKA" Jurnal Mahasiswa Teknik Informatika Jurnal Malikussaleh Mengabdi Zona Kebidanan : Program Studi Kebidanan Universitas Batam Journal of Health Research and Technology Jurnal Kesehatan Pengabdian Masyarakat Jurnal Penelitian Keperawatan INOVTEK Polbeng - Seri Informatika Journal of Psychology
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Journal : JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING

 1 
Clustering Analysis to Identify Stunting Vulnerability Areas in North Aceh District Using the Fuzzy C-Means Algorithm Muhammad Ridha; Nurdin; Maryana
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 1 (2025): Issues July 2025
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i1.14892

Abstract

Stunting is a serious public health issue that poses a long-term threat to the quality of human resources. North Aceh Regency is one of the regions with a relatively high prevalence of stunting, requiring targeted and effective intervention strategies. This study aims to classify regions based on their level of stunting vulnerability to support data-driven decision-making. The Fuzzy C-Means (FCM) clustering algorithm was selected due to its ability to handle data with flexible membership degrees, making it suitable for complex classification tasks. The data used in this research were obtained from the North Aceh Health Office for the year 2023 and include variables such as the number of children recorded in the E-PPGBM system, newly entered children in 2023, and the percentages of stunting, wasting, and underweight across 32 subdistricts. The research process involved data collection, literature review, system design and implementation using the Python programming language, and analysis of clustering results. The findings reveal that the 32 subdistricts can be grouped into three main clusters: high vulnerability (13 subdistricts), medium vulnerability (6 subdistricts), and low vulnerability (13 subdistricts). These clusters facilitate the visualization and identification of priority areas requiring more focused stunting interventions. In conclusion, the FCM algorithm proved effective in clustering regions based on stunting-related data. The implication of this study is to provide a foundation for local governments in formulating more efficient and targeted stunting intervention strategies according to the vulnerability level of each area.
Co-Authors Aan Devianto Abdillah, Ahmad Fauzi Agustin Ananda Nurisyahadah Andriana, Sevtia Anggraini, Rima Berti Aprilia Rizky Arifiani Ardiansyah Asrianda Asrianda Berdina, Agnes Nona Bustami Cut Agusniar cut muftia keumala Damayanti, Ita Darmoris Dasmi Husin Dea nanda Aulia Deka Oktaviana Desi Wulandari, Desi Dety Norrahmi Dilariya Dina Lesmana Dita Lestari Eka Chyntia Eko Suryani Erwanto, Fredi Eva Darnila Fitriyani Gadis Ayu Sofiana Hana Ningtias Hardiansyah Hasya Syakira Helen Kristeti Irfan Izura Rochma Keumala, Cut Muftia Kushendar, Deden Hadi Kusumajaya, Hendra Leni Maszura Lucky Herawati Luthviana Hafizah M. Rasyidin M. Safar M. SALEH Maghriza, Irna Ari Mairanda, Nia Maisytoh, Siti Marhaeni Fajar Kurniawati Melidza Lestari Melly, Melly Yani MMSI Irfan ,S. Kom Mochamad Ari Saptari Muhammad Adib Alfathin Muhammad Ridha Mutammimul Ula Muzakir Muzakir Nisak, Fazlun NOVA Nova Mardiana, Nova Nugrahani, Andita Nur Afni Safarina Nurdin Nurdin Nurfaiza Nurvinanda, Rezka Pandit Sarosa Purnajaya, Heri Putri Novianti Rachilya, Laya Rahmatillah Rahmi Maghfirah Risqi Utami Ritonga, Maya Syarah Rozzi Kesuma Dinata Safwandi Salsabila, Cut Syahira Saputra, Muhammad Jihad Sara Dila Sarka Ade Susana Setyowati Shalawati Siti Budi Utami Siti Hardianti, Siti Siti Maisyarah Siti Maisyarah Sri Ariani Suhardjono Sujacka Retno Susana, Sarka Ade Suzarli Syibral Malasyi T. Marzila Fahnawal Ubah Swasono Basuki Vika Septyan Febrianto Winatun Nafis Yenni Aryaneta Yulia Nanda Safitri Yuliza Febrina Yulleila Zaehol Fatah Zulfikar Zuraida