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All Journal JURNAL INTEGRASI JURNAL REKAYASA TEKNOLOGI INFORMASI Prosiding SAKTI (Seminar Ilmu Komputer dan Teknologi Informasi) Indonesian Journal of Data and Science Innovation in Research of Informatics (INNOVATICS) Journal of Applied Data Sciences Buletin Poltanesa Malcom: Indonesian Journal of Machine Learning and Computer Science
Prafanto, Anton
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Mathematics Other

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Air Pollution Assessment of Samarinda Using the C4.5 Algorithm Prafanto, Anton; Astuti, Indah Fitri; Salamah, Ummi; Agus, Fahrul; Kridalaksana, Awang Harsa; Kamila, Vina Zahrotun
Poltanesa Vol 24 No 2 (2023): December 2023
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v24i2.2946

Abstract

The degradation of air quality in numerous Indonesian cities is attributed to the swift proliferation of motorised vehicles, rapid population growth, and inadequate green spaces. Samarinda, the capital of East Kalimantan province, is plagued by high levels of pollution resulting from heavy vehicle exhaust emissions. The provision of accurate air quality information can mitigate respiratory issues. However, the public does not have access to air quality information due to the high cost of air quality measuring devices. Therefore, an Internet of Things (IoT)-based air pollution monitoring system using ESP32 is needed to provide interactive and real-time information. This study tested the C4.5 algorithm to classify air quality data based on six measurement parameters: PM10, PM2.5, CO, O3, and NO2. PM10 and PM2.5 particles are the primary pollutants that significantly impact human health. The World Health Organization (WHO) has set an annual quality standard value of 20μg/m3 for PM10 and 10μg/m3 for PM2.5. Carbon Monoxide (CO) can reduce the blood's ability to carry oxygen, which can affect the function of vital organs such as the heart and brain. Ozone (O3) on the Earth's surface is a harmful pollutant that can damage the lungs and other respiratory systems. Nitrogen dioxide (NO2) can cause lung inflammation and lower immunity to infections, such as influenza and pneumonia. This study uses the C4.5 algorithm to classify air quality data based on these parameters, which are important for determining air quality. The results show that air quality is divided into two types: good and moderate, with different proportions each day. The C4.5 algorithm achieved a success rate of 99.5074% and a failure rate of 0.4926% when processing air quality data. It was effective in classifying air quality and processing data. An Internet of Things (IoT)-based air pollution monitoring system using ESP32 is needed to provide interactive and real-time information to the public.
Co-Authors ahmad arifin Anindita Septiarini, Anindita Awang Harsa Kridalaksana Budiman, Edy Efendy, Muhammad Yusuf Fahrul Agus Firdaus, Muhammad Bambang Gultom, Tiopan Hendry Manto Haviluddin Haviluddin Ikram, Adli Dzil Indah Fitri Astuti, Indah Fitri Irsyad, Akhmad Jamil, Muh Kamila, Vina Zahrotun Khoirunnita, Aulia Lathifah, Lathifah Mahendra, Dicky Alvian Masa, Amin Padmo Azam Nataniel Dengen Nur Rahmad , Didi Paroliyan, Abraham Pradinata, Muhammad Aji Prawira, Muhammad Nanda Puspitasari, Novianti Putra, Gubtha Mahendra Rosmasari Rosmasari Rosmasari, Rosmasari Salamah, Ummi Setyadi, Hario Jati Suandi, Fadli Taruk, Medi Wardhana, Reza