PERBANDINGAN ALGORITMA SVM LINEAR, KNN, DAN DECISION TREE DALAM MENGKLASIFIKASI KUALITAS AIR
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Abstract
Water is a basic necessity for humans. Many rely on rivers and groundwater as water sources. However, most of the water available is already contaminated by domestic and industrial waste. It is important to pay attention to water quality for consumption because consuming polluted water can lead to diseases such as diarrhea, cholera, dysentery, typhoid, and so on. The purpose of this research is to compare the performance of three algorithms: Linear SVM, KNN, and decision tree in classifying the Water Quality dataset under various scenarios. The experimental results show that the decision tree performs the best in this case with an average accuracy of 0.6387 on a 80% training data composition. Meanwhile, the Linear SVM algorithm performs the worst with an average accuracy of 0.58625 on a 60% training data composition.
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[1] S. Yudo and N. I. Said, "Kondisi Kualitas Air Sungai Surabaya Studi Kasus: Peningkatan Kualitas Air Baku PDAM Surabaya," Jurnal Teknologi Lingkungan, 2019.
[2] A. Fadli, "Analisis Kualitas AIr Bersih di Wilayah Kerja Puskesmas Kepulauan Seribu Utara Berdasarkan Peraturan Menteri Kesehatan Nomor 32 Tahun 2017," Indonesian Scholar Journal of Nursing and Midwifery Science, vol. 1 No. 05, pp. 172-180, 2021.
[3] S. Sutisna and M. N. Yuniar, "Klasifikasi Kualitas Air Bersih Menggunakan Metode Naive baiyes," Jurnal Sains dan Teknologi, vol. 5 No. 1, pp. 243-246, 2023.
[4] F. N. Sari, R. Razali and I. Ningsih, "ANALISIS KUALITAS AIR SUMUR GALI SEBAGAI SUMBER AIR BERSIH DAN AIR MINUM DI KELURAHAN TIBAN LAMA," Jurnal Kesehatan Ibnu Sina, vol. 4 No. 2, pp. 1-7, 2023.
[5] R. N. K. Setioningrum, L. Sulistyorini and W. I. Rahayu, "GAMBARAN KUALITAS AIR BERSIH KAWASAN DOMESTIK DI JAWA TIMUR PADA TAHUN 2019," Jurnal Ilmu Kesehatan Masyarakat, vol. 16 Nomor 2, pp. 87-94, 2020.
[6] Y. Agustina and A. Atina, "Analisis Kualitas Air Anak Sungai Sekanak Berdasarkan Parameter Fisika Tahun 2020," Jurnal Penelitian Fisika dan Terapannya (JUPITER), vol. 4 No.1, pp. 13-19, 2022.
[7] S. D. Ramdhani and M. R. T. Laksani, "Analisis Uji Kualitas Air di Sungai Kalidami, Kota Surabaya," Environmental Pollution Journal, vol. 4 Nomor 1, 2024.
[8] A. I. Addzikri and F. Rosariawari, "Analisis Kualitas Air Permukaan Sungai Brantas Berdasarkan Parameter Fisik dan Kimia," Jurnal Sains dan Teknologi, vol. 2 No. 3, pp. 550-560, 2023.
[9] A. Susanto, M. Zannah, E. K. Putro, A. A. Manuel, W. E. Yochu and R. Mahlisa, "Penilaian Status Kualitas Air Baku untuk Air Minum di Area Concentrating Division PT Freeport Indonesia," Jurnal Teknologi Lingkungan, vol. 25 No.1, pp. 88-93, 2024.
[10] M. Faisal and D. M. Atmaja, "KUALITAS AIR PADA SUMBER MATA AIR DI PURA TAMAN DESA SANGGALANGIT SEBAGAI SUMBER AIR MINUM BERBASIS METODE STORET," Jurnal Pendidikan Geografi Undiksha, vol. 7 No. 2, pp. 73-84, 2019.
[11] F. O. Awalullaili, D. Ispriyanti and T. Widiharih, "KLASIFIKASI PENYAKIT HIPERTENSI MENGGUNAKAN METODE SVM GRID SEARCH DAN SVM GENETIV ALGORITHM (GA)," Jurnal Gaussian, vol. 11 No. 4, pp. 488-498, 2022.
[12] A. Michael, "Komparasi Kombinasi Pre-trained Model dengan SVM pada Klasifikasi Kematangan Kopi Berbasis Citra," DYNAMIC SAINT, vol. 7 No 1, pp. 42-48, 2022.
[13] A. N. Utami, "Studi Komparasi Klasifikasi Gagal Ginjal Kronis Menggunakan Algoritma SVM, KNN dan MLP," Jurnal Ilmiah Matematika, vol. 8 No. 2, pp. 162-167, 2020
[14] F. T. Admojo, "Klasifikasi Aroma Alkohol Menggunakan Metode KNN," Indonesian Journal of Data and Science, vol. 1 No. 2, pp. 34-38, 2020.
[15] A. Ahmad, I. and A. Latief, "Perbandingan Metode KNN Dan LBPH Pada Klasifikasi Daun Herbal," JURNAL RESTI, vol. 5 No. 3, pp. 537-564, 2021.
[16] A. D. W. sumari, A. R. Syulistyo and P. I. Mawari , "Klasifikasi Mutu Telur Buurng Puyuh Berdasarkan Warna dan Tekstur Menggunakan Metode K-Nearest Neighbor (KNN) dan Fusi Informasi," Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK), vol. 8 No. 5, pp. 1019-1027, 2021.
[17] R. Indrayani, "ANALISA PERBANDINGAN ALGORITMA NAIVE BAYES DAN DECISION TREE PADA KLASIFIKASI DATA TRANSFUSI DARAH," Jurnal Ilmiah Teknologi Informasi Terapan, vol. 5 No. 1, pp. 38-44, 2019.
[18] D. A. Mukhsinin, M. Rafliansyah, S. A. Ibrahim, R. Rahmaddeni and D. Wulandari, "Implementasi Algoritma Decision Tree untuk Rekomendasi FIlm dan Klasifikasi Rating pada Platform Netflix," Indonesian Journal of Machine Learning and Computer Science, vol. 4, pp. 570-579, 2024.
[19] K. B. Supriyadi, "Analisis Prediksi Profit Proyek Pekerjaan Plafon Gypsum Menggunakan Klasifikasi Deision Tree," SYNTAX IDEA, vol. 4 No. 12, pp. 1715-1730, 2022.
[20] M. A. Shinami and S. Bahri, "Klasifikasi Penyakit Kanker Payudara Menggunakan Metode K-Nearet Neighbors (KNN)," JURNAL FOURIER, vol. 12 No.2, pp. 79-85, 2023.