Sistem Pakar Diagnosa Kelainan Stunting Balita Menggunakan Metode KNN Berbasis Web
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Jan 10, 2024
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Stunting in young children is a child nutrition problem in Indonesia. This research has the main objective of preventing and overcome it through a technique that can predict stunted babies based on data or information. This study using KNN method uses 125 test data and the value of k = 3 gives an accuracy of 96%. This includes 119 accurate predictions and 6 inaccurate predictions. The aim of this study is to predict the outcome of stunting in toddlers. If they fall into the stunting category, the parents of the toddler must pay more attention to the nutritional development of the toddler to be able to minimize the stunting rate in Indonesia.
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Wulandari, A. R., & Avianto, D. (2024). Sistem Pakar Diagnosa Kelainan Stunting Balita Menggunakan Metode KNN Berbasis Web. Jurnal Indonesia : Manajemen Informatika Dan Komunikasi, 5(1), 1064-1072. https://doi.org/10.35870/jimik.v5i1.587
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References
Cermeño, A. L., Palma, N., & Pistola, R. (2023). Stunting and wasting in a growing economy: biological living standards in Portugal during the Twentieth Century. Economics & Human Biology, 101267.
Bridgman, G., & von Fintel, D. (2022). Stunting, double orphanhood and unequal access to public services in democratic South Africa. Economics & Human Biology, 44, 101076.
Crookston, B. T., Penny, M. E., Alder, S. C., Dickerson, T. T., Merrill, R. M., Stanford, J. B., ... & Dearden, K. A. (2010). Children who recover from early stunting and children who are not stunted demonstrate similar levels of cognition. The Journal of nutrition, 140(11), 1996-2001.
Haile, B., & Headey, D. (2023). Growth in milk consumption and reductions in child stunting: Historical evidence from cross-country panel data. Food Policy, 118, 102485.
Waliulu, S. H., Ibrahim, D., & Umasugi, M. T. (2018). Pengaruh edukasi terhadap tingkat pengetahuan dan upaya pencegahan stunting anak usia balita. Jurnal Penelitian Kesehatan" SUARA FORIKES"(Journal of Health Research" Forikes Voice"), 9(4), 269-272. DOI: http://dx.doi.org/10.33846/sf9407.
Hidayat, M. T., & Laluma, R. H. (2022). PENERAPAN METODE K-NEAREST NEIGHBOR UNTUK KLASIFIKASI GIZI BALITA. Infotronik: Jurnal Teknologi Informasi dan Elektronika, 7(2), 64-69. DOI: https://doi.org/10.32897/infotronik.2022.7.2.1702.
Oginawati, K., Yapfrine, S. J., Fahimah, N., Salami, I. R. S., & Susetyo, S. H. (2023). The associations of heavy metals exposure in water sources to the risk of stunting cases. Emerging Contaminants, 9(4), 100247.
Setiawan, R., & Triayudi, A. (2022). Klasifikasi Status Gizi Balita Menggunakan Naïve Bayes dan K-Nearest Neighbor Berbasis Web. JURNAL MEDIA INFORMATIKA BUDIDARMA, 6(2), 777-785. DOI: http://dx.doi.org/10.30865/mib.v6i2.3566.
Prasetiya, T., Ali, I., Rohmat, C. L., & Nurdiawan, O. (2020). Klasifikasi Status Stunting Balita Di Desa Slangit Menggunakan Metode K-Nearest Neighbor. INFORMATICS FOR EDUCATORS AND PROFESSIONAL: Journal of Informatics, 5(1), 93-104. DOI: https://doi.org/10.51211/itbi.v5i1.1431.
Drajana, I. C. R., & Bode, A. (2022). Prediksi Status Penderita Stunting Pada Balita Provinsi Gorontalo Menggunakan K-Nearest Neighbor Berbasis Seleksi Fitur Chi Square. Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI), 5(2).
Bachri, O. S., & Bhakti, R. M. H. (2021). Penentuan Status Stunting pada Anak dengan Menggunakan Algoritma KNN. Jurnal Ilmiah Intech: Information Technology Journal of UMUS, 3(02), 130-137.
Ali, I., Kurnia, D. A., Pratama, M. A., & Al Ma’ruf, F. (2021). Klasifikasi Status Stunting Balita Di Desa Slangit Menggunakan Metode K-Nearest Neighbor. KOPERTIP: Scientific Journal of Informatics Management and Computer, 5(3), 35-39.
Sapriatin, B., & Sianturi, F. A. (2021). Penerapan Teorema Bayes Mendeteksi Stunting pada Balita. Jurnal Media Informatika, 3(1), 24-37. DOI: https://doi.org/10.55338/jumin.v3i1%20Desember.203.
Bridgman, G., & von Fintel, D. (2022). Stunting, double orphanhood and unequal access to public services in democratic South Africa. Economics & Human Biology, 44, 101076.
Crookston, B. T., Penny, M. E., Alder, S. C., Dickerson, T. T., Merrill, R. M., Stanford, J. B., ... & Dearden, K. A. (2010). Children who recover from early stunting and children who are not stunted demonstrate similar levels of cognition. The Journal of nutrition, 140(11), 1996-2001.
Haile, B., & Headey, D. (2023). Growth in milk consumption and reductions in child stunting: Historical evidence from cross-country panel data. Food Policy, 118, 102485.
Waliulu, S. H., Ibrahim, D., & Umasugi, M. T. (2018). Pengaruh edukasi terhadap tingkat pengetahuan dan upaya pencegahan stunting anak usia balita. Jurnal Penelitian Kesehatan" SUARA FORIKES"(Journal of Health Research" Forikes Voice"), 9(4), 269-272. DOI: http://dx.doi.org/10.33846/sf9407.
Hidayat, M. T., & Laluma, R. H. (2022). PENERAPAN METODE K-NEAREST NEIGHBOR UNTUK KLASIFIKASI GIZI BALITA. Infotronik: Jurnal Teknologi Informasi dan Elektronika, 7(2), 64-69. DOI: https://doi.org/10.32897/infotronik.2022.7.2.1702.
Oginawati, K., Yapfrine, S. J., Fahimah, N., Salami, I. R. S., & Susetyo, S. H. (2023). The associations of heavy metals exposure in water sources to the risk of stunting cases. Emerging Contaminants, 9(4), 100247.
Setiawan, R., & Triayudi, A. (2022). Klasifikasi Status Gizi Balita Menggunakan Naïve Bayes dan K-Nearest Neighbor Berbasis Web. JURNAL MEDIA INFORMATIKA BUDIDARMA, 6(2), 777-785. DOI: http://dx.doi.org/10.30865/mib.v6i2.3566.
Prasetiya, T., Ali, I., Rohmat, C. L., & Nurdiawan, O. (2020). Klasifikasi Status Stunting Balita Di Desa Slangit Menggunakan Metode K-Nearest Neighbor. INFORMATICS FOR EDUCATORS AND PROFESSIONAL: Journal of Informatics, 5(1), 93-104. DOI: https://doi.org/10.51211/itbi.v5i1.1431.
Drajana, I. C. R., & Bode, A. (2022). Prediksi Status Penderita Stunting Pada Balita Provinsi Gorontalo Menggunakan K-Nearest Neighbor Berbasis Seleksi Fitur Chi Square. Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI), 5(2).
Bachri, O. S., & Bhakti, R. M. H. (2021). Penentuan Status Stunting pada Anak dengan Menggunakan Algoritma KNN. Jurnal Ilmiah Intech: Information Technology Journal of UMUS, 3(02), 130-137.
Ali, I., Kurnia, D. A., Pratama, M. A., & Al Ma’ruf, F. (2021). Klasifikasi Status Stunting Balita Di Desa Slangit Menggunakan Metode K-Nearest Neighbor. KOPERTIP: Scientific Journal of Informatics Management and Computer, 5(3), 35-39.
Sapriatin, B., & Sianturi, F. A. (2021). Penerapan Teorema Bayes Mendeteksi Stunting pada Balita. Jurnal Media Informatika, 3(1), 24-37. DOI: https://doi.org/10.55338/jumin.v3i1%20Desember.203.