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All Journal Jurnal Ilmu Komputer Prosiding Seminar Nasional Official Statistics
MOCHAMMAD YUSUF MAULANA
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Humanities Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Library & Information Science Social Sciences

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Analysis of the Grouping of Provinces in Indonesia According to the Democracy Index With the Agglomerative Hierarchical Clustering Algorithm MOCHAMMAD YUSUF MAULANA
Jurnal Ilmu Komputer Vol 15 No 2 (2022): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

The purpose of this study is to clustering the provinces in Indonesia based on the IDI dimensions in 2020. This study compares four methods of agglomerative hierarchical clustering, namely the single linkage method, average linkage, complete linkage, and the ward method. The evaluation criteria used are the silhouette index, dunn index, connectivity index, and agglomerative coefficient. The best method used is the average linkage hierarchy method with two clusters. The combination of two clusters and the ward’s method produces a silhouette index value of 0.34, a dunn index value of 0.28, a connectivity index value of 5.64 and an agglomerative coefficient of 0.891 which illustrates that the method is able to classify provinces in Indonesia based on the 2020 IDI. The results of this study can be used as a consideration for the government to take policies related to policies in Indonesia.
Determinan Risiko Kematian Pasien Covid-19 Mochammad Yusuf Maulana; I Made Arcana
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (368.269 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1301

Abstract

The Covid-19 pandemic in Indonesia in the middle of 2021 showed an increase in the number of people exposed to the corona virus and the number of deaths among Covid-19 patients. A relatively similar situation also occured in Tegal City, where the risk of death for Covid-19 patients was quite high. This study aims to identify variables that significantly affect the risk of death among Covid-19 patients based on patient medical record data in period of January to August 2021 at Kardinah Hospital, which is the education hospital and Covid-19 first-line referral hospital in Tegal City. A total of 477 patients Covid-19 hospitalization was the subject of observation in this study. The analytical method applied was survival analysis by implementing the Weibull Proportional Hazard (PH) model whose best model was based on the smallest AIC value. The results showed that the highest level of risk of death occurred in female patients who were short of breath, which was 2.9 times the risk of death experienced by female patients who were not short of breath.
Co-Authors I Made Arcana