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Household Clustering in West Java Based on Stunting Risk Factors Using K-Modes and K-Prototypes Algorithms Yusran, Muhammad; Nuradilla, Siti; Putri, Mega Ramatika; Fitrianto, Anwar; Yudhianto, Rachmat Bintang
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.11508

Abstract

Stunting remains one of Indonesia’s most persistent public health challenges, with West Java contributing the highest number of cases due to its large population and regional disparities in household welfare. Identifying household groups vulnerable to stunting is essential for designing targeted interventions that integrate nutrition, sanitation, and socio-economic development. This study introduces a data-driven clustering framework using the K-Modes and K-Prototypes algorithms to classify 22,161 households in West Java based on 26 indicators from the March 2024 National Socioeconomic Survey (SUSENAS), encompassing food security, sanitation, drinking water access, economic conditions, social assistance, and demographics. The K-Modes algorithm was applied to categorical data, while K-Prototypes integrated numerical and categorical variables, with parameter optimization performed using a grid search and the Elbow method. Clustering performance was evaluated through the Silhouette Score, Calinski–Harabasz Index, and Davies–Bouldin Index, followed by a bootstrapped stability analysis employing the Adjusted Rand Index (ARI) and Normalized Mutual Information (NMI). Results show that K-Prototypes outperformed K-Modes, yielding a higher Silhouette Score (0.6681 compared to 0.2922), higher CH Index (13,890.6 compared to 3,976.1), and lower DBI (0.4607 compared to 1.5274), indicating superior compactness and separation. Stability testing confirmed strong robustness, with mean ARI = 0.959 and mean NMI = 0.932 across 50 bootstrap replications. The optimal five-cluster structure identified distinct socioeconomic groups, with the highest stunting risk found among households with low income, limited housing space, inadequate sanitation, and more children under five. The findings highlight the effectiveness of K-Prototypes in modeling mixed-type data and support the design of evidence-based, regionally adaptive stunting reduction strategies aligned with Presidential Regulation No. 72/2021 on the Acceleration of Stunting Reduction.
Comparison of Mangrove Biomass in Three Different Mangrove Ecosystem Locations in Maros Regency Yusran, Muhammad; Rukminasari, Nita; Tresnati, Joeharnani; Moka, Wilma Joana Carolina
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 27 No. 01 (2026): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol27-iss01/635

Abstract

This study aims to analyze the variation in mangrove biomass across three locations in Maros Regency, South Sulawesi, namely Borongkalukua, Bonto Bahari, and Ampekale. Data collection was conducted using purposive sampling design, 27 observation plots (10×10 m; n=9 per location) were established to estimate biomass through Diameter at Breast Height (DBH) and species-specific allometric equations. Five mangrove species were identified, namely Rhizophora mucronata, Rhizophora apiculata, Avicennia alba, Avicennia marina, and Sonneratia alba. The two-way ANOVA results showed that species (p = 0.0003), location (p = 0.0266), and their interaction (p = 0.0065) had significant effects on biomass. The Kruskal–Wallis test also confirmed differences in median biomass among locations (p = 0.0104). Borongkalukua exhibited the highest biomass (302.57 Mg/ha) dominated by R. mucronata and R. apiculata, followed by Ampekale (223.20 Mg/ha) dominated by R. apiculata and S. alba, while the lowest biomass was recorded in Bonto Bahari (129.44 Mg/ha), dominated by A. marina. These variations in biomass reflect differences in species’ adaptive capacity to local environmental conditions. Overall, the findings emphasize that the interaction between species and location is a key determinant of mangrove biomass productivity. 
Risk Factors for Neovascular Glaucoma in Patients with Central Retinal Vein Occlussion: A Systematic Review and Meta-analysis Faadhil, Muhammad Arsy Kamal; Yusran, Muhammad
Jurnal Medika Malahayati Vol 9, No 4 (2025): Volume 9 Nomor 4
Publisher : Universitas Malahayati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/jmm.v9i4.20427

Abstract

Neovascular Glaucoma (NVG) is a serious complication of Central Retinal Vein Occlusion (CRVO). This study evaluates the relationship between CRVO and NVG to understand prevalence and contributing risk factors. A PROSPERO-registered protocol (CRD42024588660) guided the systematic review and meta-analysis. Searches in PubMed, Cochrane Library, and Scopus identified studies on CRVO and NVG. Eligible studies were assessed using the ROBBINS-I risk of bias tool. Out of 203 studies, three met the criteria, with older age and ischemic CRVO identified as key factors for NVG development. Ischemic CRVO was the strongest predictor (RR: 4.37; 95% CI: 2.18–8.76; p0.0001), followed by older age (mean difference: 6.24; 95% CI: 1.50–12.51; p=0.010). Elevated intraocular pressure (IOP) also showed relevance (mean difference: 1.74; 95% CI: 0.45–3.02; p=0.008), though study heterogeneity limited interpretation. Additional risks included subretinal fluid and poor baseline visual acuity, while systemic conditions like hypertension (RR: 1.41; 95% CI: 0.63–3.12; p=0.40) and diabetes (RR: 1.94; 95% CI: 0.95–3.96; p=0.07) showed weaker associations. Gender was not significantly associated with NVG risk (RR: 0.95; 95% CI: 0.47–1.96; p=0.90). NVG in CRVO patients is strongly associated with ischemic CRVO and older age.
The Correlations Between Dietary Patterns and Compliance with Iron–Folic Acid (IFA) Supplementation and The Incidence of Anemia Yusran, Muhammad; Farhat, Yasir; Pratiwi, Niken; Nurhamidi
Jurnal Riset Pangan dan Gizi Vol. 8 No. 1 (2026): JURNAL RISET PANGAN DAN GIZI (JR-PANZI)
Publisher : Jurusan Gizi Poltekkes Kemenkes Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31964/jr-panzi.v8i1.281

Abstract

Anemia among adolescent girls remains a public health problem in Indonesia. The Indonesian Health Survey (SKI) 2023 reported anemia prevalence of 16.3% among those aged 5–14 years and 15.5% among those aged 15–24 years. In South Kalimantan Province, anemia prevalence reached 52.98%, while in Pandawanan Village it was 51.85%. This study aimed to examine the relationship between dietary patterns and compliance with iron tablet consumption and the incidence of anemia among adolescent girls in Pandawanan Village, within the working area of UPT Puskesmas Guntung. A cross-sectional design was used with a total sample of 36 adolescent girls. Data were collected through hemoglobin measurement, assessment of dietary patterns using a Semi-Quantitative Food Frequency Questionnaire (SQ-FFQ), and a Health Belief Model–based questionnaire on TTD compliance. Data were analyzed using the Spearman rank correlation test. The prevalence of anemia was 72.22%. Significant relationships were found between dietary patterns and anemia (p = 0.001; r = 0.689) and between TTD compliance and anemia (p = 0.038; r = –0.347). Poor dietary patterns and low compliance were associated with a higher risk of anemia.