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All Journal Jurnal Teknik Informatika (JUTIF) Journal of Educational Management Research
Az Zahra, Syakira
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Humanities Computer Science & IT Education Social Sciences

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Enhancing Malware Detection in IoT Networks using Ensemble Learning on IoT-23 Dataset Anggriani, Kurnia; Az Zahra, Syakira; Susanto, Agus
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.4782

Abstract

The Internet of Things (IoT) has become a technological innovation that brings many benefits in various sectors, but also presents challenges, especially in terms of cybersecurity. One of the main threats is malware, which can damage devices, steal data, and disrupt system performance. With the increasing use of IoT, malware attacks on IoT devices are a serious concern. Previous research shows that malware detection models in IoT devices still have shortcomings, especially in terms of accuracy. One of the algorithms used in malware detection, Naïve Bayes, has been shown to provide low accuracy results. This study aims to improve the accuracy of malware detection on IoT networks by applying Ensemble learning techniques using traffic data from the IoT-23 dataset. The methodology used refers to the CRISP-DM (Cross Industry Standard Process for Data Mining) framework, which includes the stages of domain understanding, data understanding, data preparation, modelling, evaluation, and deployment. The results show that Ensemble learning improved the performance of individual models. Naïve Bayes as a single model produces an accuracy of 0.24, increasing to 0.35 when combined with AdaBoost, and 0.99 when combined with XGBoost. The combination of the three models also produced an accuracy of 0.99. These results demonstrate the effectiveness of ensemble learning in improving malware detection accuracy in IoT environments.
Effectiveness of Integrated Waste Management Program by Waste Management Institution Az Zahra, Syakira; Syafril, Rizki
Journal of Educational Management Research Vol. 4 No. 6 (2025)
Publisher : Al-Qalam Institue

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61987/jemr.v4i6.1401

Abstract

This study aims to analyze the effectiveness of the Integrated Waste Management Program by the Waste Management Institution in Balai Gadang Village as an effort to reduce waste from its source. Although this program has been implemented, there are still obstacles in its implementation that hinder the effectiveness of the program. This study uses a descriptive qualitative approach with data collection techniques through interviews, observations, and documentation of the Waste Management Institution of Balai Gadang Village and the Padang City Environmental Agency. The data analysis process is carried out through the stages of data reduction, data presentation, and drawing conclusions. The results of the study indicate that the Integrated Waste Management Program has not been running effectively, because several problems are still found such as a lack of public interest in joining the LPS service, socialization has not reached all areas of Balai Gadang Village, operational funds, facilities, and infrastructure are still limited, supervision is still reactive to public complaints, and delays in waste transportation, therefore important steps are needed for improvement and sustainability of the program.
Co-Authors Agus Susanto Kurnia Anggriani, Kurnia Syafril, Rizki