Implementation of The K-Nearest Neighbor Method to Determine The Quality of Export Import Swallow's Nest
DOI:
10.47709/cnahpc.v4i1.1281Keywords:
data mining, K-NN, Swift's nest, quality, exportDimension Badge Record
Abstract
In this study discusses the quality of the feasibility of swallow's nests that are suitable for export, Based on the problem from the research, it discusses how to select export-worthy swallow's nests in order to maintain the confidence of buying from abroad. The method used in this research is the K-NN method which can determine the feasibility of applying for the rank of lecturer. The data that is processed is 100, the input criteria for bowl 4, broken 2, destroyed a 2, destroyed b 2. This system succeeded in displaying appropriate and inappropriate results for lecturer data that had been input into the data set.
Downloads
Abstract viewed = 326 times
References
Fitri Nuroini1 & Nastiti Wijayanti 2017, Uji Efek Antiinflamasi Sarang Burung Walet (Collocalia Fuciphaga Thunberg) Terhadap Gambaran Histologis Telapak Kaki Mencit. Jurnal Labora Medika Vol 1 No 1 (2017). 21-26.
Febriyanti, D. (2019). Pengaruh Ekspor dan Impor Terhadap Produk Domestik Bruto Indonesia Tahun 2008- 2017. Jurnal Ecoplan, 2(1), 10-20.
Sani, R. R., Zeniarza, J., & Luthfiarta, A. (2016). Pengembangan Aplikasi Penentuan Tema Tugas Akhir Berdasarkan Data Abstrak Menggunakan Algoritma K-Nearest Neighbor. Prosiding seminar Nasional Multi Disiplin Ilmu & Call For Papers, 103-111.
Lidya, K.,S, Opim, S., & Syahril, E. (2015). Sentiment Analysis Pada Text Bahasa Indonesia Menggunakan Support Vector Machine (SVM) dan K-Nearest Neighbor (K-NN). Seminar Nasional Teknologi Informasi dan Komunikasi 2015, Yogyakarta.
Auliasari, K. dan Kertaningtyas, M.., 2019. Penerapan Metode Peramalan untuk Identifikasi Potensi Permintaan Konsumen. INFORMAL INFORMATICS JOURNAL Universitas Negeri Jember , Vol. 4 No. 3, pp. 121- 129.
Yunus, A., Akbar, M. dan Andri, A., 2019, January. Data Mining Untuk Memprediksi Hasil Produksi Buah Sawit Pada Pt Bumi Sawit Sukses (BSS) Menggunakan Metode K-Nearest Neighbor. (Vol. 1, No. 1, pp. 198-207).
Kamal, I.M. dan Ilyas, R., 2017. Prediksi penjualan buku menggunakan data mining di pt. Niaga swadaya. Semnasteknomedia online hutami, r., implementasi metode k- nearest neighbor untuk prediksi penjualan furniture pada cv. Octo agung jepara.
Amalia, Y.R., 2018. Penerapan data mining untuk prediksi penjualan produk elektronik terlaris menggunakan metode k-nearest neighbor (studi kasus: pt. Bintang Multi Sarana Palembang) (Doctoral dissertation, UIN Raden Fatah Palembang).
Mohammad K. 2019. Penerapan Metode K-Nearest Neighbors Untuk Prediksi Penjualan Berbasis Web Pada Boutiq Dealove Bondowoso, JATI(Jurnal Mahasiswa Teknik Informatika) Vol. 3 No. 2, September 2019.
Downloads
ARTICLE Published HISTORY
How to Cite
Issue
Section
License
Copyright (c) 2021 Benny Johanes, Delpy Nisma Mendrofa, Oloan Sihombing
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.