Pengelompokkan Kabupaten/Kota Didasarkan Jaminan Kesehatan di Provinsi Jawa Barat Tahun 2022

  • Natasha Bunga Wiranda Universitas PGRI Adi Buana Surabaya
  • Anggi Emeliani Universitas PGRI Adi Buana Surabaya
  • Fenny Fitriani Universitas PGRI Adi Buana Surabaya
DOI: https://doi.org/10.52166/ujmc.v10i2.7883
Keywords: multidimensional scaling, health insurance, west java province

Abstract

Health is a basic right for every citizen and is one of the country's investments that must be considered. There are still many people we meet who are unable to fulfill their health needs due to limitations in medical expenses. One way that someone prepares themselves to overcome the risk of illness is by registering for insurance such as health insurance. Health insurance is a guarantee provided by the central government, local government, and the private sector to ensure that people have access to health services called health insurance. The results of this study are the grouping of districts / cities in West Java Province based on the variable percentage of the population who have health insurance obtained using multidimensional scaling analysis as many as 4 groups with a STRESS value of 9.9% which is included in the good category

References

[1] Yusrani, K. G., Arbitera, C., Andini Novianti, P., Shafira Nur Sabrina, R., Syabil, S., & Rahma, U. (2023). Studi Literatur : Faktor-faktor yang Mempengaruhi Keputusan Masyarakat dalam Memilih Asuransi Kesehatan. Jurnal Medika Husada, 3(1), 37–50. https://doi.org/10.59744/jumeha.v3i1.39
[2] Wilandari, Y. (2012). Asuransi Kesehatan Individu Perawatan Rumah Sakit. Jurnal Matematika, 10(3), 73–78. https://doi.org/10.1088/1757-899X/166/1/012022
[3] Rahmi, M., Apsari, N. C., & Ishartono. (2018). PELAKSANAAN ASURANSI KESEHATAN KHUSUS BAGI PENYANDANG DISABILITAS. Jurnal Pekerjaan Sosial, 1(3), 183–189. https://doi.org/10.24198/focus.v1i3.20495
[4] Good Stats, (2023). BPJS Kuasai Kepemilikan Jaminan Kesehatan Penduduk Indonesia pada 2022 [Internet]. Tersedia pada https://data.goodstats.id/. Diakses tanggal 20 Juli 2024
[5] Safitri, D., & Arnelis. (2021). Analisis Multidimensional Scaling Dan Penerapannya Pada Pemetaan Kab/Kota Di Provinsi Sumatera Barat Berdasarkan Jumlah Penduduk Usia Kerja Terdampak Covid-19. Journal Of Mathematics UNP, 6(3), 20–25. https://sumbar.bps.go.id.
[6] Nahar, J. (2017). Penerapan Metode Multidimensional Scaling dalam Pemetaan Sarana Kesehatan di Jawa Barat. Jurnal Matematika Integratif, 12(1), 43. https://doi.org/10.24198/jmi.v12.n1.10283.43-50
[7] Prihatin, E., & Rahman, A. N. (2022). Pemilihan Genteng Rumah Menggunakan Metode Multidimensional Scaling. Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika Dan Statistika, 3(3), 478–492. https://doi.org/10.46306/lb.v3i3.156
Published
2024-12-23
How to Cite
Wiranda, N., Emeliani, A., & Fitriani, F. (2024). Pengelompokkan Kabupaten/Kota Didasarkan Jaminan Kesehatan di Provinsi Jawa Barat Tahun 2022. UJMC (Unisda Journal of Mathematics and Computer Science), 10(2), 9-14. https://doi.org/https://doi.org/10.52166/ujmc.v10i2.7883
Issue
Vol 10 No 2 (2024): Unisda Journal of Mathematics and Computer Science
Section
Articles
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