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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 Ilmiah Sistem Informasi dan Ilmu Komputer

 1 
Implementasi Blueprint Sistem Informasi Monitoring Pelanggaran Siswa di MAN 1 Padangsidimpuan dalam Bentuk Aplikasi Website Rizqi Nusabbih Hidayatullah Gaja; Billy Hendrik
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 3 No. 3 (2023): November : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Barenlitbangda Kabupaten Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v3i3.650

Abstract

This research intends to incorporate a blueprint design for a student violation information system that was developed in earlier research into a website-based application to record student violations at MAN 1 Padangsidimpuan. The needs analysis, system design, software development, testing, and implementation phases of the website application development process are all included in this study's waterfall methodology. The PHP programming language, the CodeIgniter framework, and the MySQL database were used to create this application. This study produced a web tool that MAN 1 Padangsidimpuan can utilize to more efficiently monitor student infractions. This program is anticipated to assist schools in managing student infractions, delivering transparency to both students and parents, and enhancing student conduct in the classroom.
Implementation Of The K-Means Clustering Algorithm For Grouping Heart Disease Risk Levels Sonia Indhira; Billy Hendrik
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 3 No. 3 (2023): November : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Barenlitbangda Kabupaten Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v3i3.677

Abstract

Heart disease is a condition where the heart cannot carry out its duties properly, this disease occurs when blood to the heart muscle stops or becomes blocked, causing serious damage to the heart. The KMeans algorithm can be used to cluster heart disease groups to find out if someone is affected heart disease or not. The clustering method with the k-means algorithm in this research shows a new insight, namely grouping the risk level of heart disease based on 3 clusters. Cluster 1 is a category age with a fairly low risk level for heart disease or Low, namely 355 out of 1025 age categories tested, then cluster 2 is the age category with a moderate risk level for heart disease, namely 208 out of 1025 age categories tested, and finally cluster 3 is an age category with a fairly high age category level or High, namely 462 of 1025 age categories tested.
Co-Authors Akhiruddin Pulungan Diffri Solihin Siregar Doni Karseno Rizqi Nusabbih Hidayatullah Gaja Roy Efendi Subarja Roy Efendi Subarja Sonia Indhira