Implementasi Folium pada Hasil Klaster Diabetes Mellitus di Puskesmas Modopuro
DOI:
https://doi.org/10.55606/juitik.v3i3.623Keywords:
Folium, Cluster, Diabetes Mellitus, Python, VisualizationAbstract
Puskesmas is a public facility that provides health services to the community, including in remote areas. In the era of health technology, Electronic Medical Records (RME) have facilitated community access to health services, as is the case at the Modopuro Health Center. RME allows the identification of common diseases, including diabetes mellitus, which has two types. However, there is no cluster visualization of RME data from January to April 2023 that can reveal the distribution pattern of this disease. In this study, diabetes mellitus clusters were visualized using python and folium library. Patient coordinates were used in the visualization, with Modopuro Health Center as the starting point of the map. The visualization results are displayed on a map with cluster selection features. The more diverse the colors and markers in an area, the more people who suffer from the disease. The highest cluster 0 population is located in Kebondalem Village, the highest cluster 1 population is located in Pekukuhan Village, the highest cluster 2 population is located in Modopuro Village, the highest cluster 3 population is located in Ngimbangan Village, and the highest cluster 4 population is located in Modopuro Village.
References
Y. Hariyoko, Y. D. Jehaut, and A. Susiantoro, “Efektivitas Pelayanan Kesehatan Masyarakat Oleh Puskesmas Di Kabupaten Manggarai,” J. Good Gov., vol. 17, no. 2, pp. 169–178, 2021, doi: 10.32834/gg.v17i2.346.
M. K. Maha Wirajaya and N. Made Umi Kartika Dewi, “Analisis Kesiapan Rumah Sakit Dharma Kerti Tabanan Menerapkan Rekam Medis Elektronik,” J. Kesehat. Vokasional, vol. 5, no. 1, p. 1, 2020, doi: 10.22146/jkesvo.53017.
Lestari, Zulkarnain, and S. A. Sijid, “Diabetes Melitus: Review Etiologi, Patofisiologi, Gejala, Penyebab, Cara Pemeriksaan, Cara Pengobatan dan Cara Pencegahan,” UIN Alauddin Makassar, no. November, pp. 237–241, 2021, [Online]. Available: http://journal.uin-alauddin.ac.id/index.php/psb.
C. Cecilia Regina, A. Mu, and E. Fitriany, “Systematic Review Tentang Pengaruh Obesitas Terhadap Kejadian Komplikasi Diabetes Melitus Tipe Dua,” J. Verdure, vol. 3, no. 1, pp. 8–17, 2021.
N. I. S. Wijaya, “Hubungan Pengetahuan dengan Motivasi dalam Mencegah Terjadinya Komplikasi Diabetes Melitus di Wilayah Kerja Puskesmas Samata,” Nurs. Care Heal. Technol. J., vol. 1, no. 1, pp. 11–15, 2021, doi: 10.56742/nchat.v1i1.3.
D. Ramandhany and Y. N. Kunang, “Visualisasi Heat Map Data Kecelakaan Di Kota Palembang,” Bina Darma Conf. Comput. Sci., pp. 304–311, 2021.
H. Setiawan, K. Karamitta, K. Hosea, and L. Hakim, “Analisa Perbandingan Metode Hierarchical dan K-means dalam Clustering Data Terhadap Penjualan Jajansamavivi Comparative Analysis of Hierarchical and K-means Methods in Clustering Data on Sales of Jajansamavivi,” pp. 91–99, 2020.
M. T. I. Rahmayani, “Analisis Clustering Tingkat Keparahan Penyakit Pasien Menggunakan Algoritma K-Means,” J. Inov. Tek. Inform., vol. 1, no. 2, pp. 40–44, 2018.
M. G. AKBAR, “IMPLEMENTASI NEURAL NETWORK UNTUK KLASIFIKASI FUNGSI BARANG MILIK DAERAH PEMERINTAH KOTA MADIUN BERBASIS WEB,” 2023.
I. Albanna and A. A. Arifiyanti, “Heat-Map Kunjungan Wisatawan Di Jawa TimurBerdasarkan Media Sosial,” Simp. Nas. RAPI XVII – 2018 FT UMS, pp. 103–109, 2018.
I. K. A. Erawati, N. L., Jaya, I. K. N. A., & Asmarajaya, “VISUALISASI DATA PEMETAAN NASABAH KREDIT.”
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Jurnal Ilmiah Teknik Informatika dan Komunikasi
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
