ANALYSIS OF CLUSTERING IN DISTRICTS/CITIES IN MALUKU PROVINCE BASED ON FACTORS CAUSING BAD NUTRITION USING K-MEANS CLUSTER

Netha Papilaya; Raditya Tuasikal; Verawati Idris; Sanlly Joanne Latupeirissa; Gilbert A. Souisa

doi:10.30598/parameterv3i02pp127-134

Netha Papilaya Statistika
Raditya Tuasikal Universitas Pattimura
Verawati Idris Universitas Pattimura
Sanlly Joanne Latupeirissa Statistika Unpatti
Gilbert A. Souisa ITS https://orcid.org/0009-0003-5964-4804

DOI: https://doi.org/10.30598/parameterv3i02pp127-134

Keywords: Malnutrition, Clusters, K-Means

Abstract

Malnutrition, especially at an early age, has a significant impact on a child's development. Maluku Province is one of the provinces with a percentage of malnourished and malnourished children under five that exceeds the national percentage, namely the percentage of malnourished children under five is 0.7% and 4.7% for malnourished children under five. This research aims to group districts/cities in Maluku Province based on factors that cause poor nutrition. The research results obtained were that 3 district/city clusters were formed where the percentage of poor people (X₆) had significant differences between the three clusters. Cluster 1 contains 6 districts/cities that have unfavorable characteristics regarding the six factors that cause malnutrition. Ambon City in cluster 2 must receive special attention to exclusive breastfeeding (X₁). As well as the number of doctors (X₃) and the number of midwives (X₄) which must be increased in cluster 3 where there are 4 districts/cities.

Downloads

Download data is not yet available.

References

[1] Kementerian Kesehatan, “Gerakan Nasional Sadar Gizi.” Accessed: Oct. 02, 2024. [Online]. Available: https://promkes.kemkes.go.id/gerakan-nasional-sadar-gizi
[2] Universitas Nahdlatul Ulama Purwokerto, “OVERVIEW–TEKNOLOGI PANGAN: HARI SUSU SEDUNIA, HARI SUSU NUSANTARA, TANTANGAN INOVASI TEKNOLOGI PANGAN PADA SUSU UNTUK ANAK.” Accessed: Oct. 02, 2024. [Online]. Available: https://unupurwokerto.ac.id/overview-teknologi-pangan-hari-susu-sedunia-hari-susu-nusantara-tantangan-inovasi-teknologi-pangan-pada-susu-untuk-anak/
[3] Kementerian Kesehatan Republik Indonesia, Profil Kesehatan Indonesia 2021. Jakarta, 2022. Accessed: Oct. 02, 2024. [Online]. Available: https://repository.kemkes.go.id/book/828
[4] J. F. Hair Jr, W. C. Black, B. J. Babin, and R. E. Anderson, Multivariate Data Analysis, 7th ed. New Jersey: PearsonPrentice Hall, 2010.
[5] M. W. Talakua, Z. A. Leleury, and A. W. Taluta, “Analisis cluster dengan menggunakan metode k-means untuk pengelompokkan Kabupaten/Kota di provinsi maluku berdasarkan indikator indeks pembangunan manusia tahun 2014,” BAREKENG: Jurnal Ilmu Matematika dan Terapan, vol. 11, no. 2, pp. 119–128, 2017.
[6] N. Gujarati, Damodar, and D. C. P, Dasar-dasar Ekonometrika, 5th ed. Jakarta: Salemba Empat, 2012.
[7] J. O. Ong, “Implementasi algoritma k-means clustering untuk menentukan strategi marketing president university,” Jurnal IlmiahTeknik Industri, vol. 12, no. 1, pp. 10–20, 2013.