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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Pilar Nusa Mandiri JURNAL REKAYASA TEKNOLOGI INFORMASI Sebatik Prosiding SAKTI (Seminar Ilmu Komputer dan Teknologi Informasi) TEPIAN Buletin Poltanesa Jurnal Agriment Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat
Indah Fitri Astuti, Indah Fitri
Universitas Diponegoro
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering

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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 Addy Suyatno, Addy Ahmad, Faqih Nur Apriansyah, Muhammad Dandi Awang Harsa Kridalaksana Dedy Cahyadi Dedy Cahyadi, Dedy Dewi Fitri Dyna Marisa Khairina Evalyn Lolongan, Agditha Fahrul Agus Hendi, Hendi Hermawan, Erinda Novtarika Ilaidha Hermawati, Shinta Ida Maratul Khamidah Imanda, Galih Dapa Iwan Muhamad Ramdan Kamila, Vina Zahrotun Khairina, Marisa Khoirunnita, Aulia Kridalaksana, Awang Maulidiah, Nurmedina Muhammad Fadli Muhammad Salahudin, Muhammad Najib, Naufal Nataniel Dengen Nur Rohmah Prafanto, Anton Putri Ananda, Kania Putut Pamilih Widagdo, Putut Pamilih Ramadiani - Rasni Alex Reza Andrea Rismayanti Rismayanti Rosmasari Salamah, Ummi Sari, Nur Maulida Sembiring, Rinawati Septya Maharani, Septya Setyadi, Hario Jati Talia, Ingrit Ferima