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All Journal Pixel : Jurnal Ilmiah Komputer Grafis SITEKIN: Jurnal Sains, Teknologi dan Industri CESS (Journal of Computer Engineering, System and Science) Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Komputer Terapan Indonesian Journal of Artificial Intelligence and Data Mining INOVTEK Polbeng - Seri Informatika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI ILKOM Jurnal Ilmiah Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JURIKOM (Jurnal Riset Komputer) CSRID (Computer Science Research and Its Development Journal) JOISIE (Journal Of Information Systems And Informatics Engineering) EDUMATIC: Jurnal Pendidikan Informatika Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal J-PEMAS JAIA - Journal of Artificial Intelligence and Applications Malcom: Indonesian Journal of Machine Learning and Computer Science SATIN - Sains dan Teknologi Informasi Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Rahmaddeni Rahmaddeni
STMIK Amik Riau
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Other

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ANALISA PERFORMA ALGORITMA MACHINE LEARNING DALAM PREDIKSI PENYAKIT LIVER Mahdiawan Nurkholifah; Jasmarizal; Yusran Umar; Rahmaddeni
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 1 (2023): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i1.149

Abstract

Currently in the world of medicine, determining liver inflammation is something that is not easy to do. But there are medical records that have kept the patient's symptoms and diagnosis of liver inflammation. The weaknesses of the manual method encourage researchers to develop a method that does not depend 100% on humans. The developed method utilizes a computer as a tool to analyze data. This kind of thing is certainly very useful for health experts. They can use existing medical records as an aid in making decisions about the diagnosis of a patient's disease. In this study, we analyzed the performance of machine learning algorithms by comparing the support vector machine, naïve Bayes and k-nearest neighbor algorithms. This study aims to determine the performance of which algorithm has the highest accuracy in liver disease data. From the research results using splinting data 80:20 it can be concluded that the Naïve Bayes algorithm model has better performance than other algorithm models when using the SMOTE technique with an accuracy value of 65.51%, whereas when not using the SMOTE technique the Support Vector Machine algorithm has the highest performance. better than other algorithm models with an accuracy value on the data not 72.41%.
Co-Authors -, Dedek Ispandi Adhitya Karel Maulaya Agustin Agustin -, Agustin Agustin Agustin Aisyah Nurul Putri Aldino Evel Anam, M Khairul Andi Kurnianto Aprillian Kartino Aulia Putri Br.Situmorang, Elisabet Sinta Romaito Bunga Nanti Pikir Chandra, Deni Cindy Syaficha Hardiana Dea Safitri Dedek Ispandi - Deni Chandra Devi Efriadi Dhini Septhya Didik Sazali Diki Daryanto Edwar Ali Efrizoni, Lusiana Elma Novfuja Erlin Fahreza, Rino Farida Try Puspa Siregar Fazri Fazri Firman Akbar Fransiskus Zoromi Fransiskus Zoromi Habibah Br. Lumbantobing Hadi Asnal, Hadi Hamdani Hamdani - Hanif Wira Saputra Hasnor Khotimah Hayami, Regiolina Hendra Saputra Herianto - Herianto Herianto Jamaris, Muhamad Jasmarizal Junadhi Junadhi Kharisma Rahayu Khusaeri Andesa Koko Harianto Koko Harianto Koko Harianto, Koko Kurniawan, Bambang Lili Marlia M Fadhil Arfa M. Arifin Mahdiawan Nurkholifah Mardainis Mardainis Mardainis Michal Dennis Muhaimin, Abdi Muhammad Azmi Muhammad Bambang Firdaus Muhammad Fajri Jamil Muhammad Fikri Hidayat Muhammad Ihza Mahendra Muhammad Ridho Al Fathan Nova Indriyani Nurjayadi Nurjayadi Ratna Andini Husen Refni Wahyuni Renaldi, Reno Rini Yanti Rino Fahreza Rizki Astuti Rizky Rahman Salam Rohana Yola Parastika Hutasoit Rometdo Muzawi, Rometdo Salsabila Rabbani Saputra, Haris Tri Sazali, Didik Singgih - Widiantoro Soni Susandri -, Susandri Susandri, Susandri Susanti, Susanti Syahrul Imardi T. Sy. Eiva Fatdha Triyani Arita Fitri Ulfah, Aniq Noviciate Unang Rio Vindi Fitria Wirta Agustin Wirta Agustin Yansyah Saputra Wijaya Yesaya Twin Situmorang Yoyon Efendi Yuda Irawan Yulia Fatma Yusran Umar Yusril Ibrahim