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All Journal JURTEKSI Jurnal Informatika dan Rekayasa Perangkat Lunak Muria Jurnal Layanan Masyarakat
Avira Budianita
Universitas Muhammadiyah Kudus
Humanities Computer Science & IT Education Environmental Science Social Sciences

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Journal : Jurnal Informatika dan Rekayasa Perangkat Lunak

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Komparasi Algoritma K-Nearest Neighbor dan Naive Bayes pada Klasifikasi Tingkat Kualitas Udara Kota Tangerang Selatan Avira Budianita; Nurul Iman; Fida Maisa Hana; Cikita Berlian Hakim
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 1 (2024): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i1.10956

Abstract

The growth of technology and the impact of industrial activities on the earth have an influence on environmental changes, including changes that are felt are a decrease in air quality or air pollution which has an impact on the health of the human body. Based on this, this research aims to produce a model for solving air quality classification problems based on parameter indicators. A comparative evaluation was also carried out on the classification of the K-Nearest Neighbor and Naive Bayes algorithm methods on the air quality dataset in South Tangerang in 2022. At the same ratio in the classification process, the K-Nearest Neighbor algorithm got an accuracy value of 94.44% and the Naive Bayes algorithm got an accuracy value of 94.44%. Accuracy value 86.11%. From the results of testing the data, it can be concluded that the K-Nearest Neighbor algorithm has high accuracy compared to the Naive Bayes algorithm in air level classification.
Co-Authors Akhmad Pandhu Wijaya, Akhmad Pandhu Arief Adi Saputro Cikita Berlian Hakim Fida Maisa Hana Haikal Makin Syaifudin Nurul Iman Pratama, Fandy Indra Tegar Widya Mustofa Yunita Rusidah