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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Proceedings of KNASTIK Jurnal Pekommas JURNAL ELEKTRO Indonesian Journal of Information System Jurnal Ilmiah Realtech Jurnal Restikom : Riset Teknik Informatika dan Komputer Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Ilmiah Sains Widya Teknik Journal of Information Technology and its Utilization
Debby Paseru
Universitas Katolik De La Salle Manado
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Physics

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Journal : indonesian journal of information system

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Comparative Analysis of Classification Methods of KNN and Naïve Bayes to Determine Stress Level of Junior High School Students Tapidingan, Yohanes Christopher; Paseru, Debby
Indonesian Journal of Information Systems Vol 2, No 2 (2020): February 2020
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (756.791 KB) | DOI: 10.24002/ijis.v2i2.3035

Abstract

Stress is generally defined as a state where someone is mentally disturbed as the response to the adversity that he/she experiences. Junior High School students usually are not aware of the stress that they encounter. This research aims to compare two classification methods of KNN and Naïve Bayes to determine stress level. The data of this research were gathered from 254 respondents from Catholic Junior High School of Don Bosco Bitung. The tests of k-cross validation and percentage split from the data showed that Naïve Bayes method excelled KNN method. With k=3, KNN accuracy reached 86.61% at the highest and Naïve Bayes reached 87.40%. Meanwhile, based on percentage split test, the average of Naïve Bayes accuracy was higher than KNN with percentage of 88.31%. Moreover, for the precision and recall, Naïve Bayes was higher than KNN with 88.30% and 87.40% seen from the k-cross validation.
Comparative Analysis of Classification Methods of KNN and Naïve Bayes to Determine Stress Level of Junior High School Students Yohanes Christopher Tapidingan; Debby Paseru
Indonesian Journal of Information Systems Vol. 2 No. 2 (2020): February 2020
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v2i2.3035

Abstract

Stress is generally defined as a state where someone is mentally disturbed as the response to the adversity that he/she experiences. Junior High School students usually are not aware of the stress that they encounter. This research aims to compare two classification methods of KNN and Naïve Bayes to determine stress level. The data of this research were gathered from 254 respondents from Catholic Junior High School of Don Bosco Bitung. The tests of k-cross validation and percentage split from the data showed that Naïve Bayes method excelled KNN method. With k=3, KNN accuracy reached 86.61% at the highest and Naïve Bayes reached 87.40%. Meanwhile, based on percentage split test, the average of Naïve Bayes accuracy was higher than KNN with percentage of 88.31%. Moreover, for the precision and recall, Naïve Bayes was higher than KNN with 88.30% and 87.40% seen from the k-cross validation.
Co-Authors Alfonso Mario Tumewu Audy Aldrin Kenap Aurelia Koagouw Benny Pinontoan Chrisno R. Kotta Erich Sumendap Frederica, Gabrielle Hendri Hermawan Adinugraha Immanuela Saputro Indah Kairupan Inggrid Alista Paendong Junaidy Budi Sanger Kairupan, Indah Kevin Kindangen Kindangen, Kevin Koagouw, Aurelia Kotta, Chrisno R. Kumenap, Vivie Deyby Lijoed, Theovani Meirio Tengor Michael George Sumampouw Olvina Rante Reynaldi Kuera Rila Mandala Sengkey, Blessynta Christesa Serwin Gonzaga Rumagit Sofyana Ibrahim Stevanus Salmon Steven Pandelaki Tapidingan, Yohanes Christopher Tengor, Meirio R. Thomas Ch. Suwanto Vianry Teguh Pangemanan Vivie Kumenap Wikarsa, Liza Yohanes Christopher Tapidingan