Application of the K-Nearest Neighbor Method in Determining Laptop for Classes
Main Article Content
Abstract
Laptops are one of the basic needs in today's modern life. Laptops are used in a wide variety of activities such as work, study, and entertainment. This research aims to be able to predict the class of laptops in the Ilda Computer store. In this process, the K-Nearest Neighbor Algorithm (KNN) method will be applied. There are 2 types of data that will be used in this study, namely training data totaling 80 data and test data as many as 6 data. In the data, there are 7 criteria that will be used, namely Price, Screen Size, Resolution, OS, RAM, Processor Type, and Laptop Class. In this study, it was obtained that the application of the KNN Algorithm can help in determining the prediction of the Laptop Class. And also the application of the KNN algorithm with K=3 obtained the best performance results with an accuracy value of 50%, a presicion of 50%, and a recall of 66%. Meanwhile, with K=4, the best performance results were obtained with an accuracy value of 50%, presicion of 66%, and recall of 50%. Finally, the K=5 obtained the best performance with an accuracy value of 66%, a presicion of 33%, and a recall of 100%.
Article Details
References
Alfani P R, A. W., Rozi, F., & Sukmana, F. (2021). PREDIKSI PENJUALAN PRODUK UNILEVER MENGGUNAKAN METODE K-NEAREST NEIGHBOR. JIPI (Jurnal Ilmiah Penelitian Dan Pembelajaran Informatika), 06, 155–160.
Ali, I., & Rizki Rinaldi, A. (2023). PENERAPAN METODE K-NEAREST NEIGHBOR UNTUK PREDIKSI PENJUALAN SEPEDA MOTOR TERLARIS. Jurnal Mahasiswa Teknik Informatika, 7(1).
Angga Sabda, M. (2023). Implementasi Data Mining Dalam Memprediksi Penjualan Parfum Terlaris Menggunakan Metode K-Nearest Neighbor. Jurnal Sistem Komputer Dan Informatika (JSON) Hal: 415−, 422(2). https://doi.org/10.30865/json.v5i2.7194
Azis, A., Zy, A. T., & Sunge, A. S. (2024). Prediksi Penjualan Obat Dan Alat Kesehatan Terlaris Menggunakan Algoritma K-Nearest Neighbor. Jurnal Teknologi Dan Sistem Informasi Bisnis, 6(1), 117–124. https://doi.org/10.47233/jteksis.v6i1.1078
Dewi, S. P., Nurwati, N., & Rahayu, E. (2022). Penerapan Data Mining Untuk Prediksi Penjualan Produk Terlaris Menggunakan Metode K-Nearest Neighbor. Building of Informatics, Technology and Science (BITS), 3(4), 639–648. https://doi.org/10.47065/bits.v3i4.1408
Evaristus Nardo, Asrul Sani, Agusta Pratama Wibawa, & Nur Nawaningtyas Pusparini. (2023). Penentuan Rekomendasi Laptop Terbaik Bagi Customer Dalam Sistem Pendukung Keputusan Dengan Metode SAW Di CV. Jeflin Laptop. Jurnal Publikasi Sistem Informasi Dan Manajemen Bisnis, 3(1), 113–124. https://doi.org/10.55606/jupsim.v3i1.2367
Hardiyanto, B., & Rozi, F. (2020). PREDIKSI PENJUALAN SEPATU MENGGUNAKAN METODE K-NEAREST NEIGHBOR. JOEICT(Jurnal of Education and Information Communication Technology), 04, 13–18.
Hutagaol, J., & Hutahaean, K. M. (2019). Seminar Nasional Sains & Teknologi Informasi (SENSASI) Sistem Pendukung Kepetusan Pembelian Laptop Bekas dengan Menerapkan Metode Preference Selection Index (PSI). Seminar Nasional Sains & Teknologi Informasi (SENSASI), 446–451. http://prosiding.seminar-id.com/index.php/sensasi/issue/archivePage|446
Nugroho, R. S., & Wijana, K. (2015). PROGRAM BANTU PREDIKSI PENJUALAN BARANG MENGGUNAKAN METODE KNN Studi Kasus: U.D. ANANG. Jurnal EKSIS, 08, 83–93.
Nur Amalia, O., Suarna, N., & Prihartono, W. (2024). MENENTUKAN KEPUTUSAN KONSUMEN UNTUK MEMBELI LAPTOP MENGGUNAKAN METODE DECISION TREE ID3 (STUDI KASUS MAHASISWA DI CIREBON). Jurnal Mahasiswa Teknik Informatika, 8(2).
Rosalina Pare, F., & Ferdinand Marini, L. (2022). Prediksi Harga Jual Beras Eceran Menggunakan Metode K-Nearst Neighbor Di Kabupaten Manokwari. Jurnal Ilmiah Teknik Informatika Dan Sistem Informasi, 357–360.
Simbolon, I. N. (2024). PREDIKSI KUALITAS AIR SUNGAI DI JAKARTA MENGGUNAKAN KNN YANG DIOPTIMALISASI DENGAN PSO. Jurnal Informatika Dan Teknik Elektro Terapan, 12(2). https://doi.org/10.23960/jitet.v12i2.4191
Ulul Azmi Wafiqi, A., Arvian James, B., Huga Ramadhan, A., & Nizar, A. (2021). Prediksi Tingkat Stres Pada Mahasiswa UNUGHA Cilacap Menggunakan Algoritma K-Nearest Neighbor. Jurnal TEKNO KOMPAK, 18(2), 331–343.
Warjaya, A., Meirza, A., Rafaela Puteri, N., & Yandra Niska, D. (2024). Implementasi Sistem Pendukung Keputusan Dalam Pemilihan Laptop Terbaik dalam Jurusan Ilmu Komputer Menggunakan Metode Simple Multi Attribute Rating Technique. Jurnal Teknologi Informatika Dan Komunikasi (JICT), 6(1), 198–208. https://doi.org/10.52661
Wiranto, F., Latipa Sari, H., & Elfianty, L. (2023). PENERAPAN METODE SEMI AVERAGE DALAM PERAMALAN PENJUALAN LAPTOP DI TOKO BIG COMPUTER. Journal of Science and Social Research, 3, 796–806. http://jurnal.goretanpena.com/index.php/JSSR