Clustering Couples of Childbearing Age to Get Family Planning Counseling Using K-Means Method

  • Yuniar Farida UIN Sunan Ampel, Surabaya, Indonesia http://orcid.org/0000-0001-8666-4980
  • Adam Fahmi Khariri UIN Sunan Ampel, Surabaya, Indonesia
  • Dian Yuliati UIN Sunan Ampel, Surabaya, Indonesia
  • Hani Khaulasari UIN Sunan Ampel, Surabaya, Indonesia
Keywords: Couples of Childbearing Age, Family Planning, K-Means Clustering, Silhouette Coefficient

Abstract

Couples of Childbearing Age (CCA) in the Madiun Regency have increased in the last three years. It caused the population in Madiun to overgrow with the newborn, which implies the economic, social, and environmental aspects. This study aims to cluster villages in Madiun with CCA case studies instead of birth control participants who will give birth and want children to determine the priority of getting Family Planning (in Indonesia, namely Keluarga Berencana/KB) counseling. K-Means clustering is used in this study because it has a linear space of complexity that can be executed quickly and easily. The result of this study is four (4) CCA clusters. CCA cluster 1 is a very high level of giving birth and wanting children, consisting of 7 villages. CCA cluster 2 is a high level of giving birth and wanting children with 119 villages. CCA cluster 3 is a medium level of giving birth and wanting children in 50 villages, and CCA cluster 4 is a low level of giving birth and wanting children, including 34 villages. So, cluster 1, which includes seven villages, is the most prioritized to get Family Planning counseling because it is the CCA cluster with the most birthing rate and wants children. This research obtained a silhouette coefficient of 0.42, which belongs to the medium level.

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References

[1] A. V. Cicourel, “Fertility, Family Planning and the Social Organization of Family Life: Some Methodological Issues,” Journal of Social Issues, vol. 23, no. 4, pp. 57–81, Oct. 1967, doi: 10.1111/j.1540-4560.1967.tb00984.x.
[2] J. W. Molyneaux and P. J. Gertler, “The Impact of Targeted Family Planning Programs in Indonesia,” Population and Development Review, vol. 26, pp. 61–85, Apr. 2000.
[3] I. Y. Padlilah, Rahmi, Elfanda Sholihah, “Dampak Virus Covid 19 Terhadap Pemakaian Kontrasepsi di Kalimantan Utara,” Jurnal Kebidanan Indonesia, vol. 13, no. 1, pp. 77–85, 2022.
[4] E. I. Goma, A. T. Sandy, and M. Zakaria, “Analisis Distribusi dan Interpretasi Data Penduduk Usia Produktif Indonesia Tahun 2020,” Jurnal Georafflesia: Artikel Ilmiah Pendidikan Geografi, vol. 6, no. 1, pp. 20–27, Jul. 2021, doi: 10.32663/georaf.v6i1.1781.
[5] D. R. Wulandari and D. A. Laksono, “Hubungan Paritas dan Karakteristik Individu terhadap Pemakaian Alat Kontrasepsi diantara Wanita Usia Subur di Provinsi Jawa Timur Tahun 2017,” Buletin Penelitian Sistem Kesehatan, vol. 24, no. 1, pp. 20–30, 2021.
[6] Y. Farida, M. Farmita, N. Ulinnuha, and D. Yuliati, “Forecasting Population of Madiun Regency Using ARIMA Method,” CAUCHY: Jurnal Matematika Murni dan Aplikasi, vol. 7, no. 3, pp. 420–431, 2022, doi: 10.18860/ca.v7i3.16156.
[7] S. Zubaedah, “Blue Control ‘ Mari KB ’ sebagai instrument untuk meningkatkan kepesertaan KB MKJP di Kabupaten Madiun,” Jurnal Pemerintahan, Pembangunan dan Inovasi Daerah, vol. 3, no. 1, pp. 1–8, 2021.
[8] M. D. H. Rahiem, “COVID-19 and the surge of child marriages: A phenomenon in Nusa Tenggara Barat, Indonesia,” Child Abuse & Neglect, vol. 118, no. October, pp. 1–13, Aug. 2021, doi: 10.1016/j.chiabu.2021.105168.
[9] E. Riany, “Faktor-Faktor yang Berpengaruh Terhadap Pernikahan Usia Dini,” Journal Of Telenursing, vol. 2, no. 2, pp. 158–167, 2020.
[10] K. Machiyama et al., “Reasons for unmet need for family planning, with attention to the measurement of fertility preferences: protocol for a multi-site cohort study,” Reproductive Health, vol. 14, no. 1, pp. 14–23, Dec. 2017, doi: 10.1186/s12978-016-0268-z.
[11] B. H. Hayadi, I. G. I. Sudipa, and A. P. Windarto, “Model Peramalan Artificial Neural Network pada Peserta KB Aktif Jalur Pemerintahan menggunakan Artificial Neural Network Back-Propagation,” MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, vol. 21, no. 1, pp. 11–20, 2021, doi: 10.30812/matrik.v21i1.1273.
[12] F. Götmark and M. Andersson, “Human fertility in relation to education, economy, religion, contraception, and family planning programs,” BMC Public Health, vol. 20, no. 1, pp. 1–17, Dec. 2020, doi: 10.1186/s12889-020-8331-7.
[13] Institute of Medicine (U.S.). Committee on a Comprehensive Review of the HHS Office of Family Planning Title X Program., A. S. Butler, E. W. Clayton, Institute of Medicine (U.S.). Committee on a Comprehensive Review of the HHS Office of Family Planning Title X Program., Institute of Medicine (U.S.). Board on Health Sciences Policy., and Y. National Research Council (U.S.). Board on Children, A review of the HHS Family Planning Program : mission, management, and measurement of results. National Academies Press, 2009.
[14] C. D. and S. T.P., “The economic consequences of reproductive health and family planning,” The Lancet, vol. 379, no. 9837, pp. 165–171, 2012.
[15] B. Utomo, P. K. Sucahya, N. A. Romadlona, A. S. Robertson, R. I. Aryanty, and R. J. Magnani, “The impact of family planning on maternal mortality in Indonesia: what future contribution can be expected?,” Population Health Metrics, vol. 19, no. 1, pp. 1–13, Dec. 2021, doi: 10.1186/s12963-020-00245-w.
[16] D. Dailami, W. N. Atikah, and S. Rahmayanti, “Strategi Komunikasi Penyuluh Lapangan dalam Memasyarakatkan Penggunaan Kontrasepsi bagi Pasangan Usia Subur (PUS) di Asahan,” Jurnal Pendidikan Tambusai, vol. 5, no. 2, pp. 5316–5322, 2021.
[17] M. Mazharul Islam and A. H. M. Saidul Hasan, “Mass Media Exposure and its Impact on Family Planning in Bangladesh,” Journal of Biosocial Science, vol. 32, no. 4, pp. 513–526, Oct. 2000, doi: 10.1017/S0021932000005137.
[18] W. Astuti and Sudarmiani, “Pemberdayaan Ekonomi Keluarga Melalui Usaha Peningkatan Pendapatan Keluarga Sejahtera (UPPKS) (Studi Kasus di Desa Sukorejo Kecamatan Saradan Kabupaten Madiun),” EQUILIBRIUM : Jurnal Ilmiah Ekonomi dan Pembelajarannya, vol. 7, no. 2, pp. 116–124, Jul. 2019, doi: 10.25273/equilibrium.v7i2.4777.
[1] A. V. Cicourel, “Fertility, Family Planning and the Social Organization of Family Life: Some Methodological Issues,” Journal of Social Issues, vol. 23, no. 4, pp. 57–81, Oct. 1967, doi: 10.1111/j.1540-4560.1967.tb00984.x.
[2] J. W. Molyneaux and P. J. Gertler, “The Impact of Targeted Family Planning Programs in Indonesia,” Population and Development Review, vol. 26, pp. 61–85, Apr. 2000.
[3] I. Y. Padlilah, Rahmi, Elfanda Sholihah, “Dampak Virus Covid 19 Terhadap Pemakaian Kontrasepsi di Kalimantan Utara,” Jurnal Kebidanan Indonesia, vol. 13, no. 1, pp. 77–85, 2022.
[4] E. I. Goma, A. T. Sandy, and M. Zakaria, “Analisis Distribusi dan Interpretasi Data Penduduk Usia Produktif Indonesia Tahun 2020,” Jurnal Georafflesia: Artikel Ilmiah Pendidikan Geografi, vol. 6, no. 1, pp. 20–27, Jul. 2021, doi: 10.32663/georaf.v6i1.1781.
[5] D. R. Wulandari and D. A. Laksono, “Hubungan Paritas dan Karakteristik Individu terhadap Pemakaian Alat Kontrasepsi diantara Wanita Usia Subur di Provinsi Jawa Timur Tahun 2017,” Buletin Penelitian Sistem Kesehatan, vol. 24, no. 1, pp. 20–30, 2021.
[6] Y. Farida, M. Farmita, N. Ulinnuha, and D. Yuliati, “Forecasting Population of Madiun Regency Using ARIMA Method,” CAUCHY: Jurnal Matematika Murni dan Aplikasi, vol. 7, no. 3, pp. 420–431, 2022, doi: 10.18860/ca.v7i3.16156.
[7] S. Zubaedah, “Blue Control ‘ Mari KB ’ sebagai instrument untuk meningkatkan kepesertaan KB MKJP di Kabupaten Madiun,” Jurnal Pemerintahan, Pembangunan dan Inovasi Daerah, vol. 3, no. 1, pp. 1–8, 2021.
[8] M. D. H. Rahiem, “COVID-19 and the surge of child marriages: A phenomenon in Nusa Tenggara Barat, Indonesia,” Child Abuse & Neglect, vol. 118, no. October, pp. 1–13, Aug. 2021, doi: 10.1016/j.chiabu.2021.105168.
[9] E. Riany, “Faktor-Faktor yang Berpengaruh Terhadap Pernikahan Usia Dini,” Journal Of Telenursing, vol. 2, no. 2, pp. 158–167, 2020.
[10] K. Machiyama et al., “Reasons for unmet need for family planning, with attention to the measurement of fertility preferences: protocol for a multi-site cohort study,” Reproductive Health, vol. 14, no. 1, pp. 14–23, Dec. 2017, doi: 10.1186/s12978-016-0268-z.
[11] B. H. Hayadi, I. G. I. Sudipa, and A. P. Windarto, “Model Peramalan Artificial Neural Network pada Peserta KB Aktif Jalur Pemerintahan menggunakan Artificial Neural Network Back-Propagation,” MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, vol. 21, no. 1, pp. 11–20, 2021, doi: 10.30812/matrik.v21i1.1273.
[12] F. Götmark and M. Andersson, “Human fertility in relation to education, economy, religion, contraception, and family planning programs,” BMC Public Health, vol. 20, no. 1, pp. 1–17, Dec. 2020, doi: 10.1186/s12889-020-8331-7.
[13] Institute of Medicine (U.S.). Committee on a Comprehensive Review of the HHS Office of Family Planning Title X Program., A. S. Butler, E. W. Clayton, Institute of Medicine (U.S.). Committee on a Comprehensive Review of the HHS Office of Family Planning Title X Program., Institute of Medicine (U.S.). Board on Health Sciences Policy., and Y. National Research Council (U.S.). Board on Children, A review of the HHS Family Planning Program : mission, management, and measurement of results. National Academies Press, 2009.
[14] C. D. and S. T.P., “The economic consequences of reproductive health and family planning,” The Lancet, vol. 379, no. 9837, pp. 165–171, 2012.
[15] B. Utomo, P. K. Sucahya, N. A. Romadlona, A. S. Robertson, R. I. Aryanty, and R. J. Magnani, “The impact of family planning on maternal mortality in Indonesia: what future contribution can be expected?,” Population Health Metrics, vol. 19, no. 1, pp. 1–13, Dec. 2021, doi: 10.1186/s12963-020-00245-w.
[16] D. Dailami, W. N. Atikah, and S. Rahmayanti, “Strategi Komunikasi Penyuluh Lapangan dalam Memasyarakatkan Penggunaan Kontrasepsi bagi Pasangan Usia Subur (PUS) di Asahan,” Jurnal Pendidikan Tambusai, vol. 5, no. 2, pp. 5316–5322, 2021.
[17] M. Mazharul Islam and A. H. M. Saidul Hasan, “Mass Media Exposure and its Impact on Family Planning in Bangladesh,” Journal of Biosocial Science, vol. 32, no. 4, pp. 513–526, Oct. 2000, doi: 10.1017/S0021932000005137.
[18] W. Astuti and Sudarmiani, “Pemberdayaan Ekonomi Keluarga Melalui Usaha Peningkatan Pendapatan Keluarga Sejahtera (UPPKS) (Studi Kasus di Desa Sukorejo Kecamatan Saradan Kabupaten Madiun),” EQUILIBRIUM : Jurnal Ilmiah Ekonomi dan Pembelajarannya, vol. 7, no. 2, pp. 116–124, Jul. 2019, doi: 10.25273/equilibrium.v7i2.4777.
[19] P. Nerurkar, A. Shirke, M. Chandane, and S. Bhirud, “Empirical Analysis of Data Clustering Algorithms,” in Procedia Computer Science, 2018, pp. 770–779, doi: 10.1016/j.procs.2017.12.099.
[20] A. Rajabi, M. Eskandari, M. J. Ghadi, L. Li, J. Zhang, and P. Siano, “A comparative study of clustering techniques for electrical load pattern segmentation,” Renewable and Sustainable Energy Reviews, vol. 120, no. January, Mar. 2020, doi: 10.1016/j.rser.2019.109628.
[21] A. Saxena et al., “A review of clustering techniques and developments,” Neurocomputing, vol. 267, no. December, pp. 664–681, Dec. 2017, doi: 10.1016/j.neucom.2017.06.053.
[22] N. Nidheesh, K. A. Abdul Nazeer, and P. M. Ameer, “An enhanced deterministic K-Means clustering algorithm for cancer subtype prediction from gene expression data,” Computers in Biology and Medicine, vol. 91, pp. 213–221, 2017, doi: 10.1016/j.compbiomed.2017.10.014.
[23] A. C. L. Ribeiro-Accioly, M. L. Seidl-De-Moura, D. M. L. F. Mendes, and J. Mesman, “Maternal sensitivity in mother-infant interactions in Rio de Janeiro – Brazil,” Attachment & Human Development, pp. 1–8, Mar. 2018, doi: 10.1080/14616734.2018.1454059.
[24] W. Wahidin et al., “Application of data mining techniques using the K-Means Method on Unmet Need of Health Services by Province in Indonesia,” Journal of Physics: Conference Series, vol. 1783, no. 1, pp. 1–7, Feb. 2021, doi: 10.1088/1742-6596/1783/1/012012.
[25] A. S. Ahmar, D. Napitupulu, R. Rahim, R. Hidayat, Y. Sonatha, and M. Azmi, “Using K-Means Clustering to Cluster Provinces in Indonesia,” Journal of Physics: Conference Series, vol. 1028, no. 1, pp. 1–6, Jun. 2018, doi: 10.1088/1742-6596/1028/1/012006.
[26] Y. Im and S. Jung, “Family functioning according to clusters of family management styles in Korean families of children with chronic atopic disease: A cross-sectional study,” International Journal of Nursing Studies, vol. 109, no. Sep, p. 103674, Sep. 2020, doi: 10.1016/j.ijnurstu.2020.103674.
[27] L. Ganda, R. Putra, and A. Anggrawan, “Pengelompokan Penerima Bantuan Sosial Masyarakat dengan Metode K-Means,” Matrik: Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer, vol. 21, no. 1, pp. 205–214, 2021, doi: 10.30812/matrik.v21i1.1554.
[28] G. S. Nugraha and H. Hairani, “Aplikasi Pemetaan Kualitas Pendidikan di Indonesia Menggunakan Metode K-Means,” MATRIK: Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, vol. 17, no. 2, pp. 13–23, 2018.
[29] A. Ali, “Klasterisasi Data Rekam Medis Pasien Menggunakan Metode K-Means Clustering di Rumah Sakit Anwar Medika Balong Bendo Sidoarjo,” MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, vol. 19, no. 1, pp. 186–195, 2019, doi: 10.30812/matrik.v19i1.529.
[30] A. Adeyemo, H. Wimmer, and L. M. Powell, “Effects of normalization techniques on logistic regression in data science,” in 2018 Proceedings of the Conference on Information Systems Applied Research, 2018, pp. 1–9.
[31] S. Jain, S. Shukla, and R. Wadhvani, “Dynamic selection of normalization techniques using data complexity measures,” Expert Systems with Applications, vol. 106, pp. 252–262, 2018, doi: 10.1016/j.eswa.2018.04.008.
[32] S. B. Seo, Y. O. Kim, Y. Kim, and H. Il Eum, “Selecting climate change scenarios for regional hydrologic impact studies based on climate extremes indices,” Climate Dynamics, vol. 52, no. 3–4, pp. 1595–1611, 2019, doi: 10.1007/s00382-018-4210-7.
[33] A. C. Ross and R. G. Najjar, “Evaluation of methods for selecting climate models to simulate future hydrological change,” Climatic Change, vol. 157, no. 3–4, pp. 407–428, Dec. 2019, doi: 10.1007/s10584-019-02512-8.
[34] S. J. Redmond and C. Heneghan, “A method for initialising the clustering algorithm using kd-trees,” Pattern Recognition Letters, vol. 28, no. 8, pp. 965–973, 2007.
[35] C. Yuan and H. Yang, “Research on K-Value Selection Method of K-Means Clustering Algorithm,” Multidisciplinary Scientific Journal, vol. 2, no. 2, pp. 226–235, 2019, doi: 10.3390/j2020016.
[36] H. B. Tambunan, D. H. Barus, J. Hartono, A. S. Alam, D. A. Nugraha, and H. H. H. Usman, “Electrical Peak Load Clustering Analysis Using K-Means Algorithm and Silhouette Coefficient,” in 2020 International Conference on Technology and Policy in Energy and Electric Power (ICT-PEP), Sep. 2020, pp. 258–262, doi: 10.1109/ICT-PEP50916.2020.9249773.
[37] H. Santoso and H. Magdalena, “Improved K-Means Algorithm on Home Industry Data Clustering in the Province of Bangka Belitung,” in 2020 International Conference on Smart Technology and Applications (ICoSTA), Feb. 2020, pp. 1–6, doi: 10.1109/ICoSTA48221.2020.1570598913.
[38] S. Annas, R. H. Safei, and Z. Rais, “Using k-Means and Self Organizing Maps in Clustering Air Pollution Distribution in Makassar City , Indonesia,” Jambura Journal of Mathematics, vol. 4, no. 1, pp. 167–176, 2022.
Published
2022-11-30
How to Cite
Farida, Y., Khariri, A., Yuliati, D., & Khaulasari, H. (2022). Clustering Couples of Childbearing Age to Get Family Planning Counseling Using K-Means Method. MATRIK : Jurnal Manajemen, Teknik Informatika Dan Rekayasa Komputer, 22(1), 189-200. https://doi.org/https://doi.org/10.30812/matrik.v22i1.1888
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Articles