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All Journal Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Ilmiah Teknik Informatika dan Komunikasi Satya Informatika Jurnal Elektronika dan Teknik Informatika Terapan
Billy Hendrik
Universitas Putra Indonesia “YPTK” Padang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Library & Information Science Social Sciences Other

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Journal : Jurnal Elektronika dan Teknik Informatika Terapan

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Evaluasi Performa Deteksi Penyakit Diabetes Dengan Fuzzy C-Means Dan K-Means Clustering Roy Efendi Subarja; Billy Hendrik
Jurnal Elektronika dan Teknik Informatika Terapan Vol. 1 No. 3 (2023): September: Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK )
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v1i3.376

Abstract

The increasing prevalence of diabetes has led to a growing need for accurate and efficient disease detection methods. This research focuses on evaluating the performance of diabetes detection using Fuzzy C-Means and K-Means clustering algorithms. The study aims to compare the effectiveness of these two clustering techniques in identifying diabetes cases based on relevant medical data. A dataset comprising various health parameters and diagnostic indicators was utilized for experimentation. The Fuzzy C-Means and K-Means algorithms were implemented to cluster the dataset, and their detection performance was assessed using metrics such as sensitivity, specificity, accuracy, and F1-score. The results indicate that both clustering methods exhibit promising potential for diabetes detection, with variations in their performance based on different evaluation criteria. This research contributes to a deeper understanding of the applicability of clustering algorithms in diabetes detection and provides insights into their strengths and limitations. Further optimization and validation of these algorithms could lead to enhanced diagnostic accuracy and early intervention in diabetes management.
Implementasi Algoritma Apriori Pada Sistem Persediaan Stok Obat Akhiruddin Pulungan; Billy Hendrik
Jurnal Elektronika dan Teknik Informatika Terapan Vol. 1 No. 4 (2023): Desember: Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK )
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v1i4.462

Abstract

As a fairly large institution, management and system development that needs to be designed from a manual basis to a digital basis is very necessary, of course, so that the use of Technology and Information can also be applied to minimize deficiencies and bring the expected profits in providing medicine stock at Islamic boarding school clinics. Due to geographic location, it is necessary to develop a system that can assist in handling the availability of drug stocks so that the process of distributing drugs to patients can run without problems. It is hoped that the use of the Apriori algorithm can help in supplying medicine stock at the Darul Mursyid Islamic boarding school.
Co-Authors Akhiruddin Pulungan Diffri Solihin Siregar Doni Karseno Rizqi Nusabbih Hidayatullah Gaja Roy Efendi Subarja Roy Efendi Subarja Sonia Indhira