Fusion: Practice and Applications FPA 2692-4048 2770-0070 10.54216/FPA https://www.americaspg.com/journals/show/3918 2018 2018 Faculty of Science and Technology, Universitas Terbuka, Tangerang Selatan 15437, Indonesia Lina Lina Faculty of Science and Technology, Universitas Terbuka, Tangerang Selatan 15437, Indonesia Sri Listyarini Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Campus Besut, 22200 Terengganu, Malaysia Mohamad Afendee Mohamed Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Campus Besut, 22200 Terengganu, Malaysia Wan Suryani Wan Awang East Coast Environmental Research Institute (ESERI), Universiti Sultan Zainal Abidin, Gong Badak 21300, Malaysia Roslan Umar Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Campus Besut, 22200 Terengganu, Malaysia; Department of Mechanical Engineering, Universitas Muhammadiyah Tasikmalaya, Tamansari Gobras 46196 Tasikmalaya, Indonesia; Artificial Intelligence for Sutainability and Islamic Research Center (AISIR), Universiti Sultan Zainal Abidin, Gongbadak, Terengganu 21300, Malaysia Aceng Sambas Particulate Matter (PM) concentration significantly affects public health, exacerbating respiratory conditions and contributing to environmental challenges. This study presents a real-time Internet of Things (IoT)-based portable particulate matter monitoring device utilizing the PMS5003 sensor. The device measures PM1.0, PM2.5, and PM10 concentrations and uploads the data to the cloud at 15-second intervals for real-time visualization. A two-week observational study in South Tangerang, Indonesia, revealed peak PM2.5 and PM10 levels of 218 µgm³ and 232 µgm³, respectively, on weekdays, compared to a weekend low of 19.76 µgm³ for PM2.5. Variations were influenced by anthropogenic factors, including vehicular and industrial activity. Data analysis showed a 78% reduction in PM2.5 levels during weekends, highlighting the impact of human activity on air quality. These findings underscore the impact of anthropogenic activities on air quality and demonstrate the effectiveness of IoT-based systems in environmental monitoring. The study highlights the potential for such technology to support data-driven strategies for pollution management and public health improvement. 2026 2026 13 26 10.54216/FPA.210102 https://www.americaspg.com/articleinfo/3/show/3918