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All Journal JINAV: Journal of Information and Visualization
Laros Tuhuteru
Faculty of Teacher Training and Education, IAIN Syekh Nurjati Cirebon, Kota Cirebon, Jawa Barat, 45132, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Library & Information Science Mathematics

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A Study on the Effectiveness of k-NN Algorithm for Career Guidance in Education Indriyani Indriyani; Laros Tuhuteru; Gentur Wahyu Nyipto Wibowo; Alex Wenda; I Nengah Sandi
JINAV: Journal of Information and Visualization Vol. 3 No. 1 (2022)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav1491

Abstract

This study aims to evaluate the performance of k-NN algorithm in recommending career paths for students based on their interests, past courses, and career goals. The k-NN algorithm was applied to a dataset of student information and its performance was evaluated using quantitative or qualitative measures such as accuracy or user satisfaction. The results indicated that the algorithm provided accurate recommendations and that the choice of k and the use of Euclidean distance measure were crucial for the performance of the algorithm. However, the study also highlighted the limitations of the research, such as the size and diversity of the dataset used, which could have affected the generalizability of the results. This study emphasizes the potential of data-driven approaches in career guidance in education and the k-NN algorithm as a valuable tool in this field. Future research could include incorporating additional factors such as student demographics or academic performance into the algorithm and using more diverse and larger datasets
Co-Authors I Nengah Sandi Indriyani Indriyani Wenda, Alex Wibowo, Gentur Wahyu Nyipto