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All Journal JITEK (Jurnal Ilmiah Teknosains) JUTIM (Jurnal Teknik Informatika Musirawas) NGABDIMAS: Jurnal Pengabdian Pada Masyarakat Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
Riduan Syahri
Institut Teknologi Pagar Alam
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Engineering Environmental Science Mechanical Engineering Veterinary Other

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Journal : JITEK (Jurnal Ilmiah Teknosains)

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KLASIFIKASI PENGUNJUNG WISATA DI KOTA PAGAR ALAM DENGAN MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR (K-NN) Riduan Syahri; Desi Puspita
JITEK (Jurnal Ilmiah Teknosains) Vol 9, No 2/Nov (2023): JiTek
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jitek.v9i2/Nov.17329

Abstract

The city of Pagar Alam has many beautiful tourist options, fresh and cold air, and unique culture and culinary delights. So that it becomes an area that is visited by many local and foreign tourists. Of the many visitors who come, not a few of them leave impressions in the form of reviews of the places they have visited. The purpose of this study is to determine the classification and to determine the accuracy produced by the K-Nearest Neighbor (K-NN) method. The K-Nearest Neighbor (K-NN) method is used to classify visitor data on Pagar Alam tours. Tests carried out to get good accuracy results and evaluate using a confusion matrix. This research produces a classification system that can identify and classify Pagar Alam tourism visitors using the K-Nearest Neighbor (K-NN) algorithm with the results obtained the greatest accuracy with a value of k = 3 with 99% accuracy, K0 gets 98% precision, recall 100 and a fi-score of 99%, for k1 precision 100%, the recal is 89% and the fi-score is 92%, while for K2 the precision is 100%, the recal is 100%, the f1-score is 100%.
Co-Authors Abdi Nasrullah Buhori Muslim Dedi Setiadi Desi Puspita Desi Puspita