Regional Data Mining Implementation Of Contraceptive Equipment Users In The City Of Binjai By Type Using Clustering method

Nurul Edelwais; Magdalena Simanjuntak; Marto Sihombing

doi:10.59934/jaiea.v3i1.284

Authors

Nurul Edelwais STMIK KAPUTAMA
Magdalena Simanjuntak STMIK KAPUTAMA
Marto Sihombing STMIK KAPUTAMA

DOI:

https://doi.org/10.59934/jaiea.v3i1.284

Keywords:

Data Mining, K-Means Algorithm, Contraceptives

Abstract

The government of the Binjai City BKKBN Office is one of the institutions responsible for controlling population growth and family planning in Indonesia which has a long-term impact that will occur if the family planning program is not implemented properly, there will be a population explosion and will cause various problems, including declining degree of health, social welfare, economic and cultural issues. Therefore, it is important to understand about contraception which will be useful in assisting the community in regulating birth rates and improving the quality of life, how contraceptives are used in Binjai City and how the levels of their use vary by region. This study aims to identify areas that use contraceptives in Binjai City based on the type of contraceptive used and to provide useful information for the government and health organizations in making policies and programs that benefit the community. Based on the results of the research conducted using a sample of 20 data, the results obtained from the data group are 12 data with the area group of contraceptive users in Binjai City based on their type with Age (X) being 18-25 years, and for the Kelurahan group (Y) is Binjai , and the type of contraception (Z ) injection for family planning.

Downloads

Download data is not yet available.

References

Amelia, R., Martanto, M., & Bahtiar, A. (2022). Penerapan Algoritma K-Means Clustering Pada Pengelompokkan Pasangan Usia Subur Peserta Kb Di Kabupaten Cirebon. Jurnal Teknologi Technos cientia, 9–14. https://doi.org/10.34151/technoscientia.v15i1.3849

Anggiat, Y., Rizal Hermawan, J., Widianto, T. C., Anggraeni, S., & Saraswati, S. D. (2022). Data Mining Clustering Penyebaran Virus Covid-19 Berdasarkan Provinsi Di Indonesia Metode K-Means. Jurnal Sistem Informasi Kaputama (JSIK), 6(2).

Ansori. (2015). Tahapan Data Mining. Paper Knowledge. Toward a Media History of Documents, 3(April), 49–58.

Ariana, R. (2016). Algoritma K-Means. Surabaya: Airlangga.

Armawati. (2021). Gambaran penggunaan kontrasepsi pada pasangan usia subur (pus) di kota makassar. Skripsi.

Fromin, M. A. P., Widowati, R., & Indrayani, T. (2020). Analisis Faktor Yang Mempengaruhi Konsistensi Penggunaan Kondom Pada Wanita Pekerja Seksual Di Yayasan Kusuma Buana Jakarta Selatan. Jurnal Kesehatan Dan Kebidanan (Journal of Health and Midwifery), 9(2), 1–8.

Gustrianda, R., & Mulyana, D. I. (2022). Penerapan Data Mining Dalam Pemilihan Produk Unggulan dengan Metode Algoritma K-Means Dan K-Medoids. Jurnal Media Informatika Budidarma, 6 (1), 27. https://doi.org/10.30865/mib.v6i1.3294

Hutagalung, J., Hendro Syahputra, Y., Pertiwi Tanjung, Z., Triguna Dharma, S., & Pintu Air, J. I. (2022). Pemetaan Siswa Kelas Unggulan Menggunakan Algoritma K-Means Clustering. Jurnal Teknik Informatika Dan Sistem Informasi, 9(1). http://jurnal.mdp.ac.id

Hasyim, F., & Muafi. (2022). Implementasi Data Mining Dalam Menentukan Strategi Promosi Program KB Menggunakan Algoritma K-Means Clustering. Jurnal Kecerdasan Buatan, Komputasi Dan Teknologi Informasi, 3(1). https://ejournal.unuja.ac.id/index.php/core

Mayona, Y., Buaton, R., & Simanjutak, M. (2022). Data Mining Clustering Tingkat Kejahatan Dengan Metode Algoritma K-Means (Studi Kasus : Kejaksaan Negeri Binjai). Jurnal Informatika Kaputama (JIK), 6(3).

Muslihudin, muhammad, & oktafianto. (2016). Analisis dan Perancangan Sistem Informasi (A. Pramesta, Ed.; 1st ed.). CV. Andi Offset.

Otong Kadang, M. (2021). Algoritma dan Pemrograman (Abd. K. Muzakir, Ed.; Pertama). Humanities Genius.

Pa, P., Manaor Hara Pardede, A., & Rahmadani, S. (2022). Pengelompakan Data Pencari Kerja Terdaftar Berdasarkan Umur Dan Pendidikan Menggunakan Metode K-means Clustering Di Dinas Tenaga Kerja Dan Perindustrian Perdagangan Kota Binjai. Jurnal Informatika Kaputama (JIK), 6(3).

Ryan Ahmadi Putra. (2019), "Implementasi Cluster Server Pada Raspberry Pi Dengan Menggunakan Metode Load Balancing," Komputika: Jurnal Sistem Komputer, vol. Vol.8, no. 1, pp. 37 - 43, April 2019.

Sari, M. I. (2021). Determinan Penggunaan Alat Kontrasepsi di Kelurahan Kalegowa Kabupaten Gowa Tahun 2021.

Sari, R. G., Agustina, E., and Riski, M. 2021. Hubungan Pendidikan, Usia dan Status Pekerjaan dengan Pemakaian Alat Kontrasepsi dalam Rahim (AKDR) di Puskesmas Pedamaran Kecamatan Pedamaran Kabupaten Oki Tahun 2019. Jurnal Ilmiah Universitas Batanghari Jambi, 21(1), p. 378. doi: 10.33087/jiubj.v21i1.1204.

Tjolleng, A. (2017). Pengantar pemrograman MATLAB (M. S. A. Tjolleng, Ed.; 1st ed.). PT. Elex Media Komputindo. https://www.researchgate.net/publication/334945947

https://kbbi.web.id/