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All Journal International Journal Of Computer, Network Security and Information System (IJCONSIST) Jurnal Ilmiah Teknik Informatika dan Komunikasi
Yovan Febriawan Nurpratama
Unknown Affiliation
Computer Science & IT Electrical & Electronics Engineering

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Implementasi Folium pada Hasil Klaster Diabetes Mellitus di Puskesmas Modopuro Yovan Febriawan Nurpratama; Dhian Satria Yudha Kartika; Reisa Permatasari
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 3 No. 3 (2023): November : Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v3i3.623

Abstract

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.
APPLICATION CLUSTER ANALYSIS ON THE GOOGLE PLAY STORE USING THE K-MEANS METHOD Hastri Cantya Danahiswari; Yovan Febriawan Nurpratama; Dhian Satria Yudha Kartika
IJCONSIST JOURNALS Vol 4 No 1 (2022): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v4i1.74

Abstract

Implementation of data mining can be used to identify information that will be useful for several parties. There are various methods in data mining, one of the methods used in clusters is the K-Means algorithm. These clusters can be used for android developers in identifying what applications need to be improved and developed to make it better for android users. The results showed that there were two clusters that had different averages. The first cluster is defined as an application that is less attractive to users due to several factors, while for the second cluster it is defined as an application that the user is interested in, caused by the application offering the features that the user needs, is informative, does not require costs and can function properly.
Co-Authors Dhian Satria Yudha Kartika Hastri Cantya Danahiswari Permatasari, Reisa