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All Journal Journal of Applied Science, Engineering, Technology, and Education Jurnal Media Teknik Elektro dan Komputer
Hafidz, Hasbanur
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Other

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Comparison of Naive Bayes Algorithms and Decision Tree for Classifying Hero Fighter Items in the Mobile Legends Hafidz, Hasbanur; Fakhriza, M.
Journal of Applied Science, Engineering, Technology, and Education Vol. 6 No. 2 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci3519

Abstract

The classification of hero fighter items in the Mobile Legends Game is a significant challenge due to the complexity of features and the variety of strategies employed by players. This study aims to develop an effective classification model using the Naïve Bayes and Decision Tree algorithms and compare the performance of these two algorithms. The dataset used in this study was obtained from item recommendations during live Gameplay, community sources such as forums, and Game guides. This dataset contains relevant information to support the classification of items for hero fighters, such as hero attributes, roles, and enemy types. The model training process was conducted using the scikit-learn library, with data split into 80% for training and 20% for testing. The study results show that the Decision Tree algorithm consistently delivers better performance than Naïve Bayes. In the evaluation using accuracy metrics, Decision Tree achieved an accuracy rate of 84.78%, significantly higher than Naïve Bayes, which only reached 45.65%. Furthermore, the precision, recall, and f1-score metrics for Decision Tree also showed superior results for almost all classes compared to Naïve Bayes. Based on these findings, the Decision Tree algorithm is recommended as a more suitable choice for classifying hero fighter items in the Mobile Legends Game.
Perancangan Sistem Pengaduan Berbasis Web di Kantor Balai Diklat Keagamaan Medan Hafidz, Hasbanur; Yahya, Rafly Auliya
Jurnal Media Teknik Elektro dan Komputer Vol 2 No 1 (2025): Metrokom : Jurnal Media Teknik Elektro dan Komputer
Publisher : Yayasan Pendidikan Al-Yasiriyah Bersaudara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65371/metrokom.v2i1.93

Abstract

This study aims to design and implement a web-based complaint system at the Medan Religious Training and Education Center as a solution to improve the effectiveness and efficiency of the complaint handling process. The problems encountered so far are that complaint management is still carried out manually, resulting in delays in response, lack of transparency, and potential data loss. The system development method used is the Unified Modeling Language (UML), with a focus on Use Case Diagrams and Activity Diagrams to model the complaint process flow in a structured manner. The system implementation was carried out using web-based technology, with black box testing as the testing method to ensure the system's functionality aligns with user needs. Testing results showed that all core system features, such as complaint registration, status tracking, and feedback provision, functioned according to specifications and produced valid outputs. With this system, the complaint process became faster, well-documented, and monitorable in real-time, thereby supporting improvements in public service quality within the relevant agency. This research provides practical contributions to the development of complaint management information systems and can serve as a reference for similar implementations in other government agencies.
Co-Authors Fakhriza, M. Yahya, Rafly Auliya