This research, conducted by the University of Indonesia's Center for Environmental Research, aims to analyze the impact of rapid urbanization on air quality in the Greater Jakarta area using Internet of Things (IoT) and machine learning technologies. Rapid urbanization has led to a significant increase in the number of motorized vehicles, construction projects, and energy use, which have a direct impact on air pollutants such as PM2.5, carbon monoxide (CO), and nitrogen dioxide (NO\u2082).<\/p>\n\n\n\n
To map pollution trends in real time, the research team developed a network of IoT sensors installed at 120 strategic locations, including densely populated areas, main roads, and green spaces. These sensors periodically transmit air quality data to a central server via a wireless connection. The data is then analyzed using machine learning algorithms such as Random Forest and Support Vector Machine (SVM) to predict pollutant fluctuations based on time, traffic, and weather.<\/p>\n\n\n\n
The analysis showed that the highest levels of air pollution occurred between 6:00 and 9:00 AM and 5:00 PM and 8:00 PM, coinciding with peak traffic hours. Areas with the highest levels of urbanization, such as Central Jakarta and West Jakarta, recorded PM2.5 concentrations consistently exceeding WHO safe limits. Meanwhile, suburban areas with ample green space showed significantly lower levels. The developed prediction model achieved 88% accuracy in mapping daily and weekly pollution peaks.<\/p>\n\n\n\n
In addition to being a monitoring tool, this system has also been developed into an interactive, publicly accessible web application. Residents can view air quality data around them and receive notifications when air pollution levels exceed certain thresholds. This feature is particularly useful for vulnerable groups such as children, the elderly, and people with respiratory illnesses, helping them manage their daily activities.<\/p>\n\n\n\n
This study also evaluated the effectiveness of local government policies in addressing air pollution. While Car-Free Day programs and tree planting have shown positive local impacts, more systematic efforts are needed, such as restrictions on private vehicles, shifting to environmentally friendly public transportation, and long-term incentives for green buildings.<\/p>\n\n\n\n
The next step for this project is to expand the sensor coverage to surrounding cities like Depok, Tangerang, and Bekasi, and to refine the prediction algorithm by adding historical data and satellite imagery. The team is also exploring collaborations with environmental startups to commercialize portable sensors that could be used by schools, communities, and industry.<\/p>\n\n\n\n
This research emphasizes the importance of synergy between technology and public policy in creating healthy and sustainable cities. With a data-driven and participatory approach, it is hoped that the public will become more aware of environmental issues and participate in maintaining air quality in their neighborhoods.<\/p>","protected":false},"excerpt":{"rendered":"
Penelitian yang dilakukan oleh Pusat Riset Lingkungan Universitas Indonesia ini bertujuan untuk menganalisis dampak urbanisasi cepat terhadap kualitas udara di wilayah Jabodetabek dengan memanfaatkan teknologi Internet of Things (IoT) dan pembelajaran mesin (machine learning). Urbanisasi yang pesat telah menyebabkan peningkatan signifikan dalam jumlah kendaraan bermotor, proyek konstruksi, serta penggunaan energi, yang berdampak langsung terhadap peningkatan […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-209","post","type-post","status-publish","format-standard","hentry","category-penelitian"],"_links":{"self":[{"href":"https:\/\/biomedis.uin-malang.ac.id\/en\/wp-json\/wp\/v2\/posts\/209","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/biomedis.uin-malang.ac.id\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/biomedis.uin-malang.ac.id\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/biomedis.uin-malang.ac.id\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/biomedis.uin-malang.ac.id\/en\/wp-json\/wp\/v2\/comments?post=209"}],"version-history":[{"count":0,"href":"https:\/\/biomedis.uin-malang.ac.id\/en\/wp-json\/wp\/v2\/posts\/209\/revisions"}],"wp:attachment":[{"href":"https:\/\/biomedis.uin-malang.ac.id\/en\/wp-json\/wp\/v2\/media?parent=209"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/biomedis.uin-malang.ac.id\/en\/wp-json\/wp\/v2\/categories?post=209"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/biomedis.uin-malang.ac.id\/en\/wp-json\/wp\/v2\/tags?post=209"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}