Moran’s I Index and KKN-Based LISA
Spatial Analysis of Toddler Stunting in Indonesia 2024
DOI:
https://doi.org/10.21787/jbp.17.2025-2888Keywords:
Spatial Analysis, Moran’s I Index, Policy Intervention, LISA, StuntingAbstract
Stunting in toddlers is a significant nutritional issue that may negatively impact the quality of Indonesia’s future human resources. This study aims to analyze the spatial patterns of stunting prevalence in toddlers in Indonesia as a basis for developing region-based policy interventions. A quantitative approach was used through spatial autocorrelation analysis using Moran’s I Index and Local Indicators of Spatial Autocorrelation (LISA), which is based on the K-Nearest Neighbors (KNN) method. Stunting prevalence data were obtained from 514 districts/cities in Indonesia and analyzed to detect clustering patterns in high-risk areas. The results showed a Moran’s I of 0.315 (P-value <), indicating positive spatial autocorrelation among regions. Also, these results indicate that areas with high stunting prevalence tend to be geographically clustered, particularly in areas outside Java, such as Nusa Tenggara, Kalimantan, Sulawesi, and Papua. The results of this study emphasize the importance of a region-based approach to stunting management that accounts for spatial factors. High-high cluster areas are highly vulnerable to stunting, as indicated by low nutrition coverage, access to sanitation, and protein consumption, as well as high poverty rates. This situation highlights the importance of more focused and effective policy interventions that include improving nutrition, increasing access to food and sanitation, health education, and strengthening welfare and education aspects.
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References
Anselin, L. (1995). Local Indicators of Spatial Association—LISA. Geographical Analysis, 27(2), 93–115. https://doi.org/10.1111/j.1538-4632.1995.tb00338.x
Arieffiani, D., & Ekowanti, M. R. L. (2024). Evaluating Local Government Policy Innovations: A Case Study of Surabaya’s Efforts in Combating Stunting and Enhancing Public Health Services Quality. Jurnal Bina Praja, 16(1), 1–20. https://doi.org/10.21787/jbp.16.2024.1-20
Aryastami, N. K. (2017). Kajian Kebijakan dan Penanggulangan Masalah Gizi Stunting di Indonesia. Buletin Penelitian Kesehatan, 45(4), 233–240. https://doi.org/10.22435/bpk.v45i4.7465.233-240
Atamou, L., Rahmadiyah, D. C., Hassan, H., & Setiawan, A. (2023). Analysis of the Determinants of Stunting Among Children Aged Below Five Years in Stunting Locus Villages in Indonesia. Healthcare, 11(6), 1–12. https://doi.org/10.3390/healthcare11060810
Azis, A. A., & Aswi, A. (2023). Spatial Clustering of Stunting Cases in Indonesia: A Bayesian Approach. Communications in Mathematical Biology and Neuroscience, 2023, 1–11. https://doi.org/10.28919/cmbn/7898
Bahru, B. A., Jebena, M. G., Birner, R., & Zeller, M. (2020). Impact of Ethiopia’s Productive Safety Net Program on Household Food Security and Child Nutrition: A Marginal Structural Modeling Approach. SSM - Population Health, 12, 1–9. https://doi.org/10.1016/j.ssmph.2020.100660
Beal, T., Tumilowicz, A., Sutrisna, A., Izwardy, D., & Neufeld, L. M. (2018). A Review of Child Stunting Determinants in Indonesia. Maternal & Child Nutrition, 14(4), 1–10. https://doi.org/10.1111/mcn.12617
Bivand, R. S., Pebesma, E. J., & Gomez-Rubio, V. (2008). Applied Spatial Data Analysis with R. Springer Nature.
Brar, S., Akseer, N., Sall, M., Conway, K., Diouf, I., Everett, K., Islam, M., Sène, P. I. S., Tasic, H., Wigle, J., & Bhutta, Z. (2020). Drivers of Stunting Reduction in Senegal: A Country Case Study. The American Journal of Clinical Nutrition, 112, 860S-874S. https://doi.org/10.1093/ajcn/nqaa151
de Onis, M., & Branca, F. (2016). Childhood Stunting: A Global Perspective. Maternal & Child Nutrition, 12(1), 12–26. https://doi.org/10.1111/mcn.12231
Fenske, N., Burns, J., Hothorn, T., & Rehfuess, E. A. (2013). Understanding Child Stunting in India: A Comprehensive Analysis of Socio-Economic, Nutritional and Environmental Determinants Using Additive Quantile Regression. PLoS ONE, 8(11), 1–16. https://doi.org/10.1371/journal.pone.0078692
Kementerian Kesehatan RI. (2023). Laporan Kinerja Kementerian Kesehatan Republik Indonesia Tahun 2023.
Kementerian Kesehatan RI. (2024). Survei Status Gizi Indonesia (SSGI) 2024. Kementerian Kesehatan: Badan Kebijakan Pembangunan Kesehatan. https://www.badankebijakan.kemkes.go.id/survei-status-gizi-indonesia-ssgi-2024/
Khan, M., Ding, Q., & Perrizo, W. (2002). k-nearest Neighbor Classification on Spatial Data Streams Using P-trees. In Conference: Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining (pp. 517–528). Springer Nature. https://doi.org/10.1007/3-540-47887-6_51
Nirmalasari, N. O. (2020). Stunting pada Anak: Penyebab dan Faktor Risiko Stunting di Indonesia. Qawwam: Journal for Gender Mainstreaming, 14(1), 19–28. https://doi.org/10.20414/Qawwam.v14i1.2372
Sadiq, A., Susyani, S., Febry, F., Sari, I. P., Sartono, S., Margarethy, I., & Ni’mah, T. (2023). Karakteristik Spasial Daerah Penentu Terjadinya Stunting di Sumatera Selatan. Amerta Nutrition, 7(4), 569–575. https://doi.org/10.20473/amnt.v7i4.2023.569-575
Saputri, R. A., & Tumangger, J. (2019). Hulu-Hilir Penanggulangan Stunting di Indonesia. Journal of Political Issues, 1(1), 1–9. https://doi.org/10.33019/jpi.v1i1.2
Simamora, M., Sipayung, R., Sinaga, J., & Sutrisna, A. A. (2023). Kejadian Stunting dengan Kemampuan Kognitif Anak Usia Sekolah. Jurnal Online Keperawatan Indonesia, 6(1), 29–36. https://doi.org/10.51544/keperawatan.v6i1.4304
Sumartini, E. (2020). Studi Literatur: Dampak Stunting Terhadap Kemampuan Kognitif Anak. Prosiding Seminar Kesehatan “Peran Tenaga Kesehatan Dalam Menurunkan Kejadian Stunting” Tahun 2020.
Taufiqurokhman, T. (2023). Equality Strategy for Reducing Stunting Prevalence Rate: Case Study of DKI Jakarta Province. Jurnal Bina Praja, 15(3), 495–506. https://doi.org/10.21787/jbp.15.2023.495-506
UNICEF, WHO, & World Bank Group. (2023). Levels and Trends in Child Malnutrition: UNICEF/WHO/World Bank Group Joint Child Malnutrition Estimates: Key Findings of the 2023 Edition. https://www.who.int/publications/i/item/9789240073791
Wen, T.-H., Lin, N. H., Chao, D.-Y., Hwang, K.-P., Kan, C.-C., Lin, K. C.-M., Wu, J. T.-S., Huang, S. Y.-J., Fan, I.-C., & King, C.-C. (2010). Spatial–Temporal Patterns of Dengue in Areas at Risk of Dengue Hemorrhagic Fever in Kaohsiung, Taiwan, 2002. International Journal of Infectious Diseases, 14(4), e334–e343. https://doi.org/10.1016/j.ijid.2009.06.006
Widanti, Y. A. (2016). Prevalensi, Faktor Risiko, dan Dampak Stunting pada Anak Usia Sekolah. Jurnal Teknologi dan Industri Pangan, 1(1), 23–28. https://doi.org/10.33061/jitipari.v1i1.1512
World Health Organization. (2014). Maternal, Infant and Young Child Nutrition in East and Southern African Countries: Moving to National Implementation.
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