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All Journal Indonesian Journal of Innovation Studies Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Nurkholifah, Mahdiawan
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Computer Science & IT Education Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science

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ANALISA PERFORMA ALGORITMA MACHINE LEARNING DALAM PREDIKSI PENYAKIT LIVER Nurkholifah, Mahdiawan; Jasmarizal; Umar, Yusran; Rahmaddeni
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 1 (2023): Januari
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%.
Web-Based Modernized Information System for Catfish Supply Chain Management in Village-Owned Enterprises: Sistem Informasi Modernisasi Manajemen Rantai Pasok Ikan Patin Berbasis Web Pada BUMDes Nasari, Fina; Veronika, Nina; Deli, Nur Asma; Akbar, Rahmad; Habibie, Indra; Nurkholifah, Mahdiawan; Amelia , Suci Fitri
Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i1.1825

Abstract

General Background: Information systems play an essential role in processing data into useful information for decision-making and improving work efficiency. In the business sector, these systems are not only used for recording but also serve as strategic tools for managing resources, designing distribution, and strengthening coordination among business actors. Knowledge Gap: However, in the fisheries sector, particularly in catfish farming in Kampar Regency, there are still challenges such as limited price information, dependence on middlemen, and inefficient distribution. These issues reduce farmers’ profits and limit consumer access to fresh products at reasonable prices. Aims: The development of a web-based Supply Chain Management (SCM) information system aims to facilitate distribution processes, support online transactions, and provide accurate data regarding production, pricing, and market demand. Result:Based on the results of the User Acceptance Test (UAT) conducted with 20 respondents and 10 evaluation questions, user acceptance of the system was very positive, with average scores ranging between 80–95 percent and an overall satisfaction rate above 85 percent. Novelty: This research integrates SCM principles into a web-based system specifically designed for rural-scale catfish supply chains, enabling direct interaction among farmers, BUMDes, and consumers in a single digital platform. Implication: The developed system is feasible to implement and has the potential to support BUMDes Koto Masjid in expanding market access, improving farmer welfare, and strengthening national food security. Highlights: Developed a web-based SCM system integrating farmers, BUMDes, and consumers in the catfish supply chain. Achieved over 85% user satisfaction based on UAT results from 20 respondents. Improved distribution efficiency, market access, and strengthened local food security. Keywords: Information System, Supply Chain Management, Catfish Farming
Co-Authors Amelia , Suci Fitri Amelia, Suci Fitri Fina Nasari habibie, indra Jasmarizal Nur Asma Deli Rahmad Akbar Rahmaddeni Rahmaddeni Umar, Yusran