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All Journal Jurisprudensi: Jurnal Ilmu Syariah, Perundang-undangan, Ekonomi Islam Jurnal Computer Science and Information Technology (CoSciTech)
Ilham Pratama, Muhammad
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Religion Humanities Computer Science & IT Law, Crime, Criminology & Criminal Justice

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ANALISA KINERJA ALGORITMA MACHINE LEARNING UNTUK PREDIKSI VIRUS HEPATITIS C Gunawan, Rahmad Gunawan; Ilham Pratama, Muhammad
Computer Science and Information Technology Vol 4 No 3 (2023): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v4i3.6513

Abstract

Hepatitis C (HCV) is an RNA virus and one of the blood-borne human pathogens known as Hepatitis C. According to the World Health Organization (WHO), it is estimated that nearly 3% or 120-130 million of the world's population are infected with HCV and 3-4 million new infection cases. Early diagnosis of HCV has not been effective so most of the factors that contribute to the disease are still unclear. This study aims to implement a machine learning algorithm to identify factors that contribute to hepatitis C virus and hepatitis C virus prediction problems by comparing each algorithm to determine the best algorithm for predicting hepatitis C virus in the HCV UCI Machine Learning Repository dataset. Six classification algorithms are proposed: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbor, Support Vector Machine, and Random Forest. The results show that from the accuracy value of each algorithm, the best algorithm for predicting hepatitis C virus is random forest with an accuracy rate of 98.37% and it was found that the features that contributed the most to the prediction model for HCV-infected and non-HCV patients were AST (Aspartate aminotransferase) and ALP (alkaline phosphatase).
The Relevance of Interpretation, Argumentation, and Exposition Methods in Contemporary Legal Practice Ilham Pratama, Muhammad; Wahyu Sururie, Ramdani; Nur Muslimah, Adilla; Yudha Pratama, Brilyan
Jurisprudensi: Jurnal Ilmu Syariah, Perundang-Undangan dan Ekonomi Islam Vol 17 No 2 (2025): Jurisprudensi: Jurnal Ilmu Syariah, Perundang-Undangan dan Ekonomi Islam
Publisher : State of Islamic Institute Langsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32505/jurisprudensi.v17i2.10440

Abstract

Ideally, in legal practice, the application of the methods of interpretation, argumentation, and exposition should create justice and legal certainty. However, in reality, these three methods are often applied inconsistently in various court rulings. This research aims to analyze the relevance of applying the methods of interpretation, argumentation, and exposition in contemporary legal practice in Indonesia. The methodology used is normative legal research with a qualitative approach and phenomenological study, analyzing relevant court decisions. The research findings indicate that although these three methods play an important role in upholding justice, their application remains varied, with some cases showing inconsistencies in the proper use of interpretive methods, resulting in legal uncertainty.
Co-Authors Gunawan, Rahmad Gunawan Nur Muslimah, Adilla Wahyu Sururie, Ramdani Yudha Pratama, Brilyan