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All Journal HUMANIORASAINS Technema: Journal of Intelligent Engineering and Computing
Kemas Muhammad Rafli Azhary
Universitas Bina Sarana Informatika
Arts Humanities Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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IMPLEMENTASI ALGORITMA C4.5 UNTUK ANALISIS DAMPAK NEGATIF GELOMBANG ELEKTROMAGNETIK TELEPON SELULER TERHADAP OTAK PADA PERIODE 2019-2023 Muhammad Fadly Yassin; Beni Rahmat Jaya Nazara; Dilvan Qiblatain; Kemas Muhammad Rafli Azhary; Muhammad Rizky Andika; Farhan Aditya Hidayatulloh; Baginda Oloan Lubis
Jurnal Humaniora & Sosial Sains Vol 2 No 1 (2025)
Publisher : Pojok Publisher

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Electromagnetic waves are formed from a combination of interacting electric and magnetic waves. The source of these waves can come from natural phenomena or man-made devices. Electromagnetic waves can propagate in all directions (omnidirectional) or in a directional manner, depending on the device and media used. As technology advances, the intensity of electromagnetic radiation from various devices continues to increase, with varying impacts on human health. Excessive and prolonged use of mobile phones can increase the risk of health problems, such as brain tumors (glioma and acoustic neuroma), as well as impaired cognitive function, including working memory deficits and behavioral changes that indicate damage to the hippocampus. This shows that radiation from mobile phones has a real impact on brain health. For this reason, disseminating information on how to prevent the negative impacts of mobile phones is very important, especially for vulnerable groups such as children and adolescents. In order to further understand the impact of electromagnetic waves, a study was conducted using the C4.5 algorithm which produces a decision tree model. This analysis provides insight into risk patterns, where the duration of mobile phone use and the distance of the device from the head are the main factors that affect brain health. The results of the study showed that using a mobile phone for more than 4 hours per day, especially at close range (less than 10 cm), significantly increased the risk of health problems such as headaches, sleep disorders, and decreased cognitive function. These findings emphasize the importance of using mobile phones wisely to minimize health risks.
Application of the Entropy Method and Multi-Attribute Utility Theory (MAUT) to a Decision Support System for Determining Priorities in Air Pollution Mitigation Based on Ambient Air Quality Monitoring Data at PT Indocement Tunggal Prakarsa Tbk. Bogor Farhan Aditya Hidayatulloh; Ahmad Refi Zaini; Kemas Muhammad Rafli Azhary; Bilal Abdul Wahid
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 3 (2026): Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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This study aims to apply the Entropy and Multi-Attribute Utility Theory (MAUT) methods within a web-based Decision Support System (DSS) to determine air pollution mitigation priorities based on ambient air quality monitoring data at PT Indocement Tunggal Prakarsa Tbk., Bogor. The research addresses the problem that available monitoring data have not been specifically processed into objective and measurable mitigation-priority information. Secondary data were organized into 12 alternatives representing combinations of two monitoring stations and observation periods from January to June, using seven criteria, namely ISPU PM2.5, PM10, NO₂, SO₂, HC, CO, and O₃. The Entropy method was employed to generate objective criterion weights based on data variation, while MAUT was used to calculate utility values and rank the alternatives. The weighting results identified ISPU PM2.5 as the most dominant criterion, with a weight of 0.231710871. The MAUT results ranked Site Kecamatan Cileungsi–March first with a utility value of 0.841307511, followed by Site Utama Indocement–February with 0.750091317 and Site Utama Indocement–June with 0.696256962. Sensitivity analysis using ±10% and ±20% changes in the dominant criterion weight showed that the ranking order remained unchanged, with a Spearman rank correlation of 1.000. The developed web-based system successfully presents the calculation process, ranking results, and supporting information in a structured manner, demonstrating that the Entropy–MAUT combination provides an objective and stable approach for supporting air pollution mitigation-priority decisions.  
Co-Authors Ahmad Refi Zaini Baginda Oloan Lubis Beni Rahmat Jaya Nazara Dilvan Qiblatain Farhan Aditya Hidayatulloh Muhammad Fadly Yassin Muhammad Rizky Andika Wahid, Bilal Abdul