Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal Teknik: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Rezty Amalia Aras
Unknown Affiliation
Computer Science & IT

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
COMPARISON OF DATA MINING CLASSIFICATION TECHNIQUES FOR HEART DISEASE PREDICTION SYSTEM Rezty Amalia Aras; Noor Akhmad Setiawan
Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 2 No. 2 (2022): Juli : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (789.232 KB) | DOI: 10.55606/teknik.v2i2.672

Abstract

DM is the process of analyzing data from different perspectives and gathering knowledge that can be used for different applications. Classification as one of the data mining techniques used to predict group membership. For example, the healthcare industry. DM provides a set of techniques for discovering hidden patterns from data. In this paper, we examine the heart disease dataset in order to obtain information or patterns that can be useful for making a decision. The test in this paper is a prediction of heart disease using three classification methods, namely OneR, decision tree and naive bayes. The results of this experiment show predictions from each experiment with different levels of prediction accuracy in each method used with 91.48% accuracy for the decision tree, 85.18% for naive Bayes and 76.3% for OneR.
Decision Support System (DSS) dengan Berorientasi -Solver Rezty Amalia Aras
Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 2 No. 1 (2022): Maret : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/teknik.v2i1.917

Abstract

A Decision Support System (DSS) or decision support system is part of a computer-based information system (including knowledge-based/knowledge management systems) that is used to support decision-making within an organization or company. can also be said as a computer system that processes data into information to make decisions on specific semi-structured problems. In this paper, we try to solve a simple DSS with Microsoft Excel by using Solver.
Implementation of Haar Cascade and Adaboost Algorithms in Photo Classification on Social Networks Rezty Amalia Aras; Hutami Endang
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 13 No. 1 (2023): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v13i1.45

Abstract

Instagram is one of the fastest social networks in recent years. Instagram is a popular social media for sharing images. For example, image searches on Instagram may use certain keywords, sometimes called hashtags. There are no rules for specifying hashtags when users upload images. As such, the specified hashtag may not be relevant to the uploaded image. There are photos whose content is dominated by selfies. The study was conducted using data from Instagram, using hashtags to refine searches. Next, classify from the search results. The survey has three categories: selfies, food, and travel. Results: Two of her classification algorithms, Haar Cascade and Adaboost, were used in this study. From the study results, we can conclude that the Haar cascade has a precision rate of 0.7081/s and a detection error of 0.8816/s, while Adaboost has a precision rate of 0.7072/s and a detection error of 0.8424/s. According to the recognition results, the two algorithms can recognize and classify photos with almost the same accuracy (only 0.0392 seconds).
Co-Authors Hutami Endang Noor Akhmad Setiawan