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Yanris, Gomal Juni
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Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Library & Information Science Other

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Journal : Informatika

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Penerapan Metode KNN untuk Menentukan Minat Calon Mahasiswa Riyanto, Tiara; Yanris, Gomal Juni; Hasibuan, Mila Nirmala Sari
Jurnal Informatika Vol 12, No 3 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.6153

Abstract

This study focuses on the implementation of data mining to determine the interests of prospective male and female students in the Informatics Management Department using the K-Nearest Neighbors (KNN) method. The analysis process is carried out through the Knowledge Discovery in Databases (KDD) stages, which include data selection, pre-processing, transformation, data mining, and pattern evaluation. The KDD stage ensures that the data used has been prepared and processed properly to produce an accurate and relevant model. The KNN method is used to classify sample data consisting of 82 prospective male and female students. The results of this study indicate that 63 out of 82 prospective students are interested in the Informatics Management Department, while 19 other prospective students are not interested. This classification process shows that the KNN method is able to identify the interests of prospective students with a high level of accuracy, providing useful information for universities in understanding the preferences of their prospective students. Evaluation of the research results using two evaluation tools, namely Test and Score and Confusion Matrix, showed perfect results with an accuracy of 100%. Both of these evaluation tools are consistent in assessing the performance of the KNN model, confirming that this model works very well in classifying prospective student interests. In conclusion, the KNN method is proven to be effective and reliable in determining prospective students' interest in the Informatics Management Department, providing a strong foundation for similar applications in the future.
Co-Authors Arfi Pratama, Hubban Ashari, Suci Cantika, Putri Talia Faujiah, Ria Rizki Friyansyah, Karsan Hasan, Nurwahyuni Hasibuan, Elysa Rohayani Hasibuan, Fitri Febriyani Hasibuan, Mila Nirmala Sari Irmayani, Deci Iwan Purnama Mawaddah, Arini Mayang Sari Muhammad Halmi Dar Munazhif, Nanda Fahrezi Muti’ah, Rahma Pane, Rahmadani Riyanto, Tiara Sarinawati, Sarinawati Siagian, Ayu Febri Sitorus, Sahat Parulian Syahputra, Rahmat Triani, Diana Juni Violita, Putri