p-Index From 2021 - 2026
6.559
P-Index
This Author published in this journals
All Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan JURNAL ILMIAH INFORMATIKA JMM (Jurnal Masyarakat Mandiri) Psikologi Prima Majalah Ilmiah Warta Dharmawangsa Jurnal Sistem Komputer dan Informatika (JSON) Reswara: Jurnal Pengabdian Kepada Masyarakat Journal Mathematics Education Sigma [JMES] Jurnal Fibonaci: Jurnal Pendidikan Matematika Djtechno: Jurnal Teknologi Informasi INCODING: Journal of Informatics and Computer Science Engineering Proceeding International Seminar of Islamic Studies Jurnal Pengabdian Pada Masyarakat Indonesia (JPPMI) sudo Jurnal Teknik Informatika Hello World Jurnal Ilmiah Teknik (JUIT) Blend Sains Jurnal Teknik Jurnal Teknik Informatika dan Teknologi Informasi Wahana DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Factory Jurnal Industri, Manajemen dan Rekayasa Sistem Industri Jurnal Riset Rumpun Seni, Desain dan Media (JURRSENDEM) Jurnal Teknik Mesin, Industri, Elektro dan Informatika All Fields of Science Journal Liaison Academia and Sosiety eProceedings of Engineering Jurnal Penelitian Sistem Informasi Doktrin: Jurnal Dunia Ilmu Hukum dan Politik Aladalah: Jurnal Politik, Sosial, Hukum dan Humaniora Jaksa: Jurnal Kajian Ilmu Hukum Dan Politik Jurnal Sipil Terapan Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Portal Riset dan Inovasi Sistem Perangkat Lunak Al'Adzkiya International of Computer Science and Information Technology Journal CompTech : Jurnal Ilmu Komputer dan Teknologi Jurnal Teknik Informatika dan Teknologi Informasi
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal Sistem Komputer dan Informatika (JSON)

Hybrid DAC-GA and K-Means for Spatial Clustering of Stunting Risk in North Sumatra Andy Satria; Ibnu Rusydi; Dian Septiana; Fanny Ramadhani
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 1 (2025): September 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i1.9071

Abstract

Stunting continues to pose a severe global health concern, particularly in Indonesia, where prevalence rates persist above international standards despite recent advances in reduction initiatives. Accurately documenting the regional variation of stunting is critical to facilitate targeted interventions and successful policymaking. This paper offers a hybrid clustering framework that merges the classic K-Means approach with the Dynamic Artificial Chromosomes Genetic approach (DAC-GA) to increase the resilience and reliability of spatial analysis. The dataset used combines demographic and population statistics from the Central Bureau of Statistics (BPS), strategic policy documents from the Regional Medium-Term Development Plan (RPJMD) of North Sumatra, and health indicators including stunting prevalence data from the Ministry of Health of the Republic of Indonesia. The research approach consists of four primary phases: data preparation, clustering model construction, cluster evaluation, and geographical visualization. Three evaluation metrics Sum of Squared Errors (SSE), Davies–Bouldin Index (DBI), and Silhouette Coefficient were applied to validate clustering performance. Results demonstrate that DAC-GA dynamically determined the ideal number of clusters at k=2 in just 1.171677 seconds, classifying Kota Medan and Deli Serdang into the low-risk cluster, while all other districts were consistently put into the high-risk cluster. Both DAC-GA and standard K-Means yielded similar spatial maps, giving significant methodological validation and strengthening the dependability of the findings. The study reveals not just the technical advantages of DAC-GA in maximizing clustering but also its practical utility in guiding spatially targeted health interventions. Future research is recommended to add dimensionality reduction utilizing Principal Component Analysis (PCA) to improve computing efficiency and enhance the interpretability of clustering results.
Co-Authors Abdurahman, Zaid Ade Apriliza Agus Kurniawan Akbar, Muhammad Fauzi Al Khowarizmi Alfren Petrus Putra Manik Alwis Anasyon Situmorang Alya Prita Simbolon Amalia, Sisti Nadia Andi Zulherry Andreas Natanael Pangaribuan Angel Theresia Purba Anisa Herdiani Arya Novandli Asri Mahara Baehaqi Bagus Pangestu Bin Tujuh, Raja Buulolo, Nahazisokhi C.Septia Dinda Sinaga Carlos Daniel Sinaga Daeli, Nonifati Daniyal Arkan Daniyal Arkan Dian Septiana Dicky Apdilah Fadilah, Putri Maulidina Fajar Azhari Lubis Fanny Ramadhani Fanny Ramadhani Ferdinan Sitompul Fidelis Sitinjak Grace Aprillia P Manullang Gustiana, Zelvi Hapzi Ali Hariani, Pipit Putri Haulika, Teguh Iman Hylmiana Nadya Ibnu Rusydi Indah Purnama Sari Indah Purnama Sari Inggrit Nadeak Irhami, Raihan Apriansyah Jerry Alviansyah Joddy Kurniawan Junaidi, Listya Devi Kayla, Zahwa Kristina Sinaga M.Taufiq Kurniawan M.Taufiq Kurniawan Manurung, Asrar Aspia Mesy Nadya Sidabutar Mhd. Basri Muhammad Zikri Rahmanda Nasution Mutia Mutia Nadiah Puteri Hana Ulina Nadrah Afiati Nasution Nasution, Nandrah Afiati Nazwa Irfayanti Nst Nurul Maulida Surbakti Obed Kevin Siregar Oris Krianto Sulaiman Pipit Putri Hariani MD Priyanti Lubis, Dian Rizky Putri Imilia Amanda Putri Imilia Amanda Putri Safira Ramadhani, Fanny Rayhendi Alvio Sabrina Aulia Rahmah Salamah Salamah salamah salamah Salsabila Thalia Sibarani, Chantika Aprila Srirejekina Sinambela, Aadiyaat Pariccar Sirait, Aldi Ravonda Pradana Sri Dewi Suci Ramadhani Herman Surya Inra Simbolon Tamba, Wanciko Taufik Ahmad Telaumbanua, Daniel Teguh Jaya Tobing, Ririn Aulia Veronikha Effendy Willy Aldo Doglas Hutabarat Wita Kristika Purba Zahra, Ainisa Zahroina Rosa Pasaribu Zelvi Gustiana Zulham Zulham