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All Journal Jurnal Saintifik International Journal of Health, Engineering and Technology Jurnal Riset Manajemen Jurnal Pengabdian Bersama Masyarakat Indonesia Journal of International Multidisciplinary Research Jurnal Ilmiah Manajemen dan Akuntansi
Cecep Warman
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Journal : International Journal of Health, Engineering and Technology

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Performance Measurement Of Machine Learning (Support Vector Machine, K-Nearest Neighbors, And Naive Bayes) In Crypto Wallet Applications Fikri Faisal Hibatullah; Cecep Warman
International Journal of Health Engineering and Technology Vol. 3 No. 5 (2025): IJHET JANUARY 2025
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhet.v3i5.254

Abstract

This study aims to compare the performance of three classification algorithms, namely Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Naïve Bayes Classifier (NBC) in analyzing user review sentiment on crypto wallet applications available on the Google Play Store . The dataset used includes 1,500 reviews from three popular crypto wallet apps, namely Trust Wallet, MetaMask , and Bitget Wallet. Each review is grouped into three sentiment categories: positive, negative, and neutral. The results of the analysis show that Bitget Wallet got the most positive reviews, while MetaMask and Trust Wallet tended to get less favorable reviews. The study evaluated the performance of each algorithm based on several performance metrics, including accuracy, precision, recall, and F1 score. The results obtained show that the SVM algorithm provides the best performance with an accuracy of 90.5%, followed by KNN with an accuracy of 85.3%, and NBC with an accuracy of 82.1%. In addition, SVM also excels in other metrics, such as precision and recall, showing that SVM is more effective at classifying user review sentiment than the other two algorithms. Based on these results, it can be concluded that SVM is the most suitable algorithm for sentiment analysis in crypto wallet applications, which can provide deeper insights into user perceptions of these applications. This research makes an important contribution to the application of machine learning algorithms for sentiment analysis in the financial technology sector, especially for crypto wallet applications.
Development Of Eunterprise Architecture Information System In Parungkuda Sukabumi Puskesmas District Using Togaf Adm Model Moh Ival Alpian S; Cecep Warman
International Journal of Health Engineering and Technology Vol. 3 No. 5 (2025): IJHET JANUARY 2025
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhet.v3i5.251

Abstract

This study aims to design an effective enterprise architecture for the information system of the Community Health Center in Parungkuda District, Sukabumi. Adopting the TOGAF (The Open Group Architecture Framework) and ADM (Architecture Development Method) Architecture Development Process Model, this study will provide systematic steps to design a structured and integrated architecture. Health services at the Community Health Center are one of the technical service units in the management of the Community Health Center. The Community Health Center is one of the government agencies engaged in the field of Health services in its daily life providing health services to the community. The Parungkuda Community Health Center has currently implemented a computer and information system to support its processes. Unfortunately, the availability of information systems as one of the health service facilities that are run is considered less than optimal. The purpose of this study is to design and implement the proposed information system which can later help optimize the health service management process at the Parungkuda Community Health Center. In this study, the TOGAF framework has been proposed as a reference for architectural design. Where TOGAF contains the structure and components of ADM (Architecture Development Method) which represents TOGAF itself and provides details on how to determine an enterprise architecture based on the main needs of the organization. The output produced in using this framework is a blueprint that is used as a reference for the Parungkuda Health Center itself to develop information system technology. Thus, every business process in the Parungkuda Health Center can answer all the visions and missions to be achieved. With the implementation of the health service information system, it is hoped that it can improve health services and efficiency, employees in manipulating service data at the Parungkuda Health Center.
Co-Authors Desty Endrawati Subroto Fachri, Saeful Fidziah Fikri Faisal Hibatullah Moh Ival Alpian S Mutaqin, Reihan Suharno Suharno Yuliawati