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Ahmad Rifqi
Jurusan Manajemen Universitas Riau
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Nursing Physics Social Sciences Other

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Journal : Jurnal Sistem Komputer dan Informatika (JSON)

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Penerapan Data Mining Untuk Clustering Kualitas Udara Rifqi, Ahmad; Aldisa, Rima Tamara
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 2 (2023): Desember 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i2.7145

Abstract

Human health at this time is the key to the continuity of life. Human health is very necessary in the process of development of human life. Environmental health is related to the circumstances or conditions that exist in the surrounding area where you live, whether in a small environment or a large environment. Air quality is the condition of the surrounding air. Air quality is very important for human life because air is what helps humans to live by breathing. With the availability of good air quality, it will certainly be an important factor for an area, not only for health but also for other sectors that interact directly in open areas. The important role of air quality for humans means that more attention needs to be paid and special treatment is given to areas exposed to bad air. The above is a very important problem that must be resolved immediately, if the problem is not resolved immediately it will have an impact on health. The process of solving problems requires a way to resolve them. Where the process of measuring air quality can be seen based on certain conditions or criteria that occur in an area. Data mining is a method used to carry out the problem solving process by processing data. In the process carried out in data mining, there are various ways of solving it. One thing that can be used is clustering. In clustering itself there are various kinds of algorithms such as DBSCAN, K-Means and K-Medoids. In this research, the solution process will use the three algorithms K-Means, K-Medoids and DBSCAN. The purpose of using these three algorithms is to compare the results obtained. In the process carried out in completing data mining, clustering techniques are used using 3 (three) algorithms, namely K-Means, K-Medoids and DBSCAN. The results obtained were that the K-Means algorithm had the highest accuracy value obtained at K=4 with a value of 0.843, for the K-Medoids algorithm the highest value was obtained at K=5 with a value of 0.896 and for the DBSCAN algorithm the highest value was obtained at K=2 with a value of 0.885.
Co-Authors ', Kamaliah ', Marzolina ', Nuryanti Abd. Rasyid Syamsuri Afrialdi, Afrialdi Agus Iskandar Aldisa, Rima Tamara Anita Trisiana, Anita Anjali, Auliya' Ilmi Aprilia, Delliza Arika Fitriani Aulia, Jeny Fortuna Septi Aziz, Muhammad Zaky Ch. Evy Tri Widyahening, Ch. Evy Tri Deo, Frieza Dewi, Eva Dewita Suryati Ningsih Elfi Ilham Fadilla, Aisyah Nurul Fajar , Hajrul Fatihah, Zinniya Fitriani, Devi Dwi Ghifary, Arya Hadi Gisela, Devita Harjanto, Wahyu Herzoni, Afifah Ramadhani Hidayatullah, Muhammad Ridho Indriyani Irvan Vernando, Irvan Iswanda, Iswanda Kamaliah Kamaliah, Kamaliah Karima, Nadia Kurniawaty Fitri Lukman Hakim Machasin -, Machasin Machasin Machasin Margie Dewi, Margie Marnis Marnis Marzolina Marzolina, Marzolina Mi'rajudin, Muhammad Nisfatun Ni'am Mitha Elistha Muhamad Junenda, Muhamad Junenda Mukhlisa, Khairal Nabila Efni, Ami Atika Nanda Pranata, Nanda Nasution, Hafiza Oktasia Novrianti, Dian Puspita Nursukma, Friska Pramaysheila, Rasya Prima Andreas Siregar Promadi Promadi Putri, Ramadhani Putri, Suchi Novia Raden Lestari Garnasih Rafi Azhar, Muhammad Rahman Cahyono, Aditya Rahmawati, Intan Nur Rainy, Fazira Fiddya Ramadhan, Azzahra Tiara Ramadhani, Ardheliza Aulya Ryan Basith Fasih Khan Samsir Samsir, Samsir Sandi Pradana Pasaribu, Sandi Pradana Setiawan, Edo Sharnuke Asrilsyak Sri Indarti Subuh Isnur Haryudo Suhartono Suwandayani, Beti Istanti Syaifullah, Thoriq Aziz Tarigan, Mida Aprilina Tia Angelia Sari, Tia Angelia Tira, Andis Tri Wahyu Widyanigsih, Tri Wahyu Widyanigsih Verly Septia Nengsih, Verly Septia Wahyu Purwanto Wibowo, Nandha Jastin Yohanes, Joni