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All Journal Proceeding International Conference on Information Technology and Business Journal of Computer Networks, Architecture and High Performance Computing
Mahfudzin, Abdul Halim
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Computer Science & IT Economics, Econometrics & Finance Education

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Prediction of DHF Disease Using Bagging Algorithm with Decision Tree C4.5 Mahfudzin, Abdul Halim; Sriyanto, Sriyanto; Sutedi, Sutedi; Wasilah, Wasilah
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 3 (2025): Articles Research July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i3.6267

Abstract

Dengue Fever (DHF) continues to represent a significant public health threat in Indonesia and other tropical regions, with an annual increase in the number of reported cases. The primary aim of this study is to develop a predictive model for DHF by integrating the Bagging technique and the Decision Tree C4.5 algorithm. The goal is to improve prediction accuracy by incorporating key environmental factors such as temperature, humidity, and rainfall. The research adopts a quantitative methodology with a descriptive approach, using publicly available datasets from data.mendeley.com and conducting the analysis using RapidMiner software. The findings of the study demonstrate that the proposed model is highly effective in accurately predicting and classifying DHF cases, achieving significant precision. In addition to this, the model is successful in identifying important patterns and trends linked to the disease's occurrence. These results underscore the efficacy of combining Bagging and Decision Tree C4.5 as a robust tool for detecting and forecasting DHF outbreaks. The research contributes substantially to the field of data-driven prediction models, offering valuable insights for health agencies to develop more effective and proactive strategies for disease prevention. For future research, it is recommended that additional factors such as genetic and medical data be considered, along with the application of triangulation methods to improve the analysis's validity, scope, and overall robustness. This approach would enable a more comprehensive understanding of DHF and its predictive modeling.Keywords: DHF Prediction; Bagging; Decision Tree C4.5; Machine Learning; Data Mining
Design of a Mobile Application for Wireless Network Monitoring Based on Android Mahfudzin, Abdul Halim; Widiantoko, Ari; Sudibyo, Novi Herawadi
Prosiding International conference on Information Technology and Business (ICITB) 2023: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 9
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

Information and communication technology that is increasingly widespread today uses a computer network system as a medium for transforming information and data. One of the common network utilizations today is a wireless network using Wi-Fi (Wireless Fidelity) technology. The problem experienced at Junior High School Muhammadiyah 3 Metro is that the network administrator still uses a simple way of checking the network connection, namely by pinging the hosts connected to the network. The goal that the authors achieve is to monitor data traffic on wireless internet networks by designing Android applications as network controllers. With this problem, the authors made a thesis with the title "Designing an Android-Based Wireless Network Monitoring Mobile Application". The results achieved are in the form of a network monitoring application with the name "PRIMEWEB", using a local internet network connected to the Mikrotik RouterBoard and then distributed via Wi-Fi Access Point. The network monitoring application displays system settings, monitoring statistics, network status, and user hotspots in detail. The test results of this application have the advantage of using Mikrotik for network monitoring settings and using network traffic indicators with an independent and more efficient menu. Keywords— Android application, Mikrotik, Network, Wi-Fi
Co-Authors Novi Herawadi Sudibyo, Novi Herawadi Sriyanto Sriyanto Sutedi Sutedi Wasilah Wasilah Widiantoko, Ari