K-MEANS CLUSTER ANALYSIS RELATED TO UNMET NEED FOR FAMILY PLANNING IN BANYUWANGI, INDONESIA: A CASE STUDY
Downloads
Background: The population growth rate in Indonesia from 2010-2020 was 1.25% per year. The rate of population growth must be accompanied by an increase in the quality of human life. Human quality of life begins from within the womb, so that preventive efforts can be undertaken. The Family Planning Program was implemented to overcome the problem of population density so that it becomes more controlled. However, in line with the existence of the family planning program, there are still incidents of unmet need for family planning that occur among couples of productive ages. Purpose: This study aims to undertake a cluster analysis to see which variables are the dominant reasons for couples of childbearing ages to have unmet needs. Methods: This research was conducted using the K-Means cluster analysis method, using secondary data in 25 sub-districts from the Banyuwangi Regency Social, Women's Empowerment and Family Planning Service. Results: Research showed that 3 clusters were formed, each cluster had a dominant incidence of unmet need. Cluster 1 was dominant in Drop Out incidents in 14 sub-districts, Cluster 2 was dominant in IAT incidents in 9 sub-districts, and Cluster 3 was dominant in TIAL incidents in 2 sub-districts. Conclusion: The implementation of cluster grouping can make it easier for officers to focus on reducing the number of unmet need incidents that occur among residents in each sub-district.
Anggraeni, A. T., & Susilaningrum, D. 2017. Pemodelan Dan Pemetaan Faktor Unmet Need KB Di Jawa Timur Sebagai Perencanaan Mencegah Ledakan Penduduk Dengan Regresi Logistik Biner. Seminar Nasional Matematika dan Aplikasinya, 210–215. Acces from: http://repository.unair.ac.id/id/eprint/73943.
Badan Pusat Statistik. 2019. Berita Resmi Statistik. Bps.Go.Id (27). 1–52. Acces from: https://papua.bps.go.id/pressrelease/2018/05/07/336/indeks-pembangunan-manusia-provinsi-papua-tahun-2017.html.
BPS, BKKBN & Kemenkes. 2017. Survey Demografi Dan Kesehatan Indonesia 2017.
Darmi, Y. D., & Setiawan, A. 2017. Penerapan Metode Clustering K-Means Dalam Pengelompokan Penjualan Produk. Jurnal Media Infotama, 12(2), 148–157. https://doi.org/10.37676/jmi.v12i2.418
Dinas Kesehatan Kabupaten Banyuwangi. 2021. Profil Kesehatan Kabupaten Banyuwangi 2020. Profil Kesehatan Kabupaten Banyuwangi: 326.
Dinas Kesehatan Provinsi Jawa Timur. 2020 Profil Kesehatan Provinsi Jawa Timur 2019. Dinas Kesehatan Provinsi Jawa Timur: tabel 53. Available at: www.dinkesjatengprov.go.id.
Harahap, B. 2019. Penerapan Algoritma K-Means Untuk Menentukan Bahan Bangunan Laris (Studi Kasus Pada UD. Toko Bangunan YD Indarung). Regional Development Industry & Health Science, Technology and Art of Life, 2(1), 394–403.
Nabila, A., Susanti, R. & Ismail, AB. 2022. Unmet Need Di Indonesia (Analisis Data Sdki, Skap Dan Susenas Tahun 2017-2020). Jurnal Mahasiswa dan Peneliti Kesehatan, 9(1), 13-26. http://dx.doi.org/10.29406/jjum.v9i1.3996
Poerwanto, B, & Fa’rifah, R. Y. 2016. Analisis Cluster K-Means Dalam Pengelompokan Kemampuan Mahasiswa. Indonesian Journal of Fundamental Sciences, 2(2), 92–96. https://doi.org/10.26858/ijfs.v2i2.2434
Poningsih., Puspa, R, & Zulaini, M. N. 2022. Penerapan Algoritma K-means Klustering untuk Pengelompokkan Jumlah Keluarga Penerima Manfaat (KPM) di Kabupaten Simalungun. SmartEDU JOURNAL, 1(1), 16–22.
Saputri, B. D., Indriani, D. 2022. Pemetaan Cakupan Pengguna KB Aktif Dan Unmet Need Di Kabupaten Ponorogo Tahun 2021. J Statistika, 15(1), 167–177. https://doi.org/10.36456/jstat.vol15.no1.a5446
Sejati, S. K. 2020. Analisis Cluster Unmet Need Keluarga Berencana Di Indonesia. Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan, 4(2), 10. http://dx.doi.org/10.32630/sukowati.v4i2.158
Syamsul, S., Bakri, B, & Limonu, H. S. 2020. Penggunaan Alat KB pada Wanita Kawin di Pedesaan dan Perkotaan (Studi Hasil SDKI 2017 Provinsi Gorontalo). Jurnal Kependudukan Indonesia, 15(1), 71. https://doi.org/10.14203/jki.v15i1.461
Widayanti, A. 2013. Analisis Kluster untuk Mengelompokkan Performansi Mahasiswa Fakultas Ilmu Terapan Ditinjau dari Bidang Akademik dan Non Akademik. Jurnal Teknologi Informasi 1(6), 229–231.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright of the article is transferred to the journal, by the knowledge of the author, whilst the moral right of the publication belongs to the author. In order to be accepted and published by JPH RECODE, author(s) submitting the article manuscript should complete all the review stages. By submitting the manuscript, the author(s) agreed to these following terms:
The copyright of accepted articles shall be assigned to JPH RECODE as the publisher of the journal. The intended copyright includes the rights to publish articles in various forms (including reprints). JPH RECODE maintain the publishing rights to the published articles.
Authors are permitted to disseminate published article by sharing the link/DOI of the article at JPH RECODE. Authors are allowed to use their articles for any legal purposes deemed necessary without written permission form JPH RECODE with an acknowledgement of initial publication to this journal.
The Copyright Transfer Agreement Form can be downloaded ON THIS FORM.
