Penerapan Data Mining Untuk Klasifikasi Kualitas Udara di Daerah Istimewa Yogyakarta Menggunakan Algoritma C4.5
DOI:
https://doi.org/10.54259/jdmis.v2i2.2800Keywords:
Kualitas udara, Klasifikasi, Algoritma c4.5, Daerah Istimewa Yogyakarta, data miningAbstract
Air pollution is a global environmental problem that is of serious concern in various regions around the world, including in Indonesia. Poor air quality has negative impacts on human health, ecosystems and economic growth. The purpose of this research is to classify the air quality in the Special Region of Yogyakarta. Classification is done using data mining techniques with the C4.5 algorithm or decision tree. The results of the analysis that has been studied using the C4.5 algorithm used 5822 data and 20 replacement samples with 100 repetitions, so the results of this study obtained 7 decisions or leaves with a success rate of 99.9485% and a failure rate of 0.0515%.
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Firmansyah, A., Dewi, A. L., Hirma, E. S., Briliyanto, M. B. A., Nurjannah, M., & Nooraeni, R., “Pengelompokan Titik Wilayah di Provinsi Daerah Istimewa Yogyakarta Berdasarkan Kualitas Udara Menggunakan Algoritma Fuzzy C-Means”, Jurnal Matematika dan Statistika serta Aplikasinya, vol. 8, no. 2, Juli-Desember 2020.
Novianto, H., Azis, M. M., & Arini, H. M., “Analisis Perubahan Sistem Kualitas Udara Kota Yogyakarta Pada Masa Pandemi Covid-19”, Jurnal Rekayasa Proses, vol. 16, no. 2, 2020.
Ergianzah R S. 2021. Pemetaan Sebaran Kualitas Udara Ambien Kawasan Perkotaan Yogyakarta Dengan Parameter SO2, CO, dan NO2 Metode Inverse Distance Weighting (IDW). Tugas Akhir. Fakultas Teknik Sipil dan Perencanaan. Universitas Islam Indonesia.
Astriyani, M., Laela, I. N., Lestari, D. P., Anggraeni, L., & Astuti, T., “Analisis Klasifikasi Data Kualitas Udara DKI Jakarta Menggunakan Algoritma C4.5”, Jurnal Sistem & Teknologi Informasi Komunikasi, vol. 6, no.1.
Kirono, A. A. H., Asror, I., & Wibowo, Y. F. A., “Klasifikasi Tingkat Kualitas Udara DKI Jakarta Menggunakan Algoritma Naive Bayes”, e-Proceeding of Engineering, vol. 9, no. 3, Juni 2022.
Julianto H. 2021. Klasifikasi Kualitas Udara Menggunakan Algoritma Learning Vector Quantization di Kota Pekanbaru. Tugas Akhir. Fakultas Sains dan Teknologi. Universitas Islam Negeri Sultan Syarif Kasim.
Sodiq, M. J., & Sela, E. I. 2019. Perbandingan Metode Naive Bayes dan K-Nearest Neighbor pada Klasifikasi Kualitas Udara di DKI Jakarta. Tugas Akhir. Fakultas Teknologi Informasi dan Elektro. Universitas Teknologi Yogyakarta.
Alkabbani, H., Ramadan, A., Zhu, Q., Elkamel, A. An Improved Air Quality Index Machine Learning-Based Forecasting with Multivariate Data Imputation Approach. Atmosphere 2022, 13, 1144. doi: 10.3390/atmos3071144.
A. Amalia, A. Zaidiah and I. N. Isnainiyah, JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika), vol. 7, no. 2, pp. 496-507, 2021.
K. y. Ananta, E. Anugrayningtyas, F. A. Abdul Aziz and D. Hartanti, "Penerapan Metode K-Nearest Neighbor (K-NN) Dalam Klasifikasi Kualitas Udara di Provinsi DKI Jakarta," Prosiding Seminar Nasional Teknologi Informasi dan Bisnis (SENATIB), pp. 709-712, 2023.
A. S. Handayani, S. Soim, T. E. Agusdi, Rumiasih and A. Nurdin, "KLASIFIKASI KUALITAS UDARA DENGAN METODE SUPPORT VECTOR MACHINE," JIRE (Jurnal Informatika & Rekayasa Elektronika), vol. 3, no. 2, pp. 187-199, 2020.
A. Inez Sang, E. Sutoyo and I. Darmawan, "ANALISIS DATA MINING UNTUK KLASIFIKASI DATA KUALITAS UDARA DKI JAKARTA MENGGUNAKAN ALGORITMA DECISION TREE DAN SUPPORT VECTOR MACHINE," e-Proceeding of Engineering, vol. 8, no. 5, pp. 8964-8963, 2021.
S. Nurjanah and M. A. K. D. S. Siregar, "PENERAPAN ALGORITMA K – NEAREST NEIGHBOR (KNN) UNTUK KLASIFIKASI PENCEMARAN UDARA DI KOTA JAKARTA," Scientific Student Journal for Information, Technology and Science, vol. 1, no. 2, pp. 71-76, 2020.
I. I. Ridho and G. Mahalisa, "ANALISIS KLASIFIKASI DATASET INDEKS STANDAR PENCEMARAN UDARA (ISPU) DI MASA PANDEMI MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE (SVM)," Technologia, vol. 14, no. 1, pp. 38-41, 2023.
A. Umri, S. S, M. S. Firdaus and A. Primajaya, "ANALISIS DAN KOMPARASI ALGORITMA KLASIFIKASI DALAM INDEKS PENCEMARAN UDARA DI DKI JAKARTA," JIKO (Jurnal Informatika dan Komputer) , vol. 4, no. 2, pp. 98-104, 2021.
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