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All Journal Jurnal Kridatama Sains dan Teknologi
Kaka, Dualu Lado
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Social Sciences

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Analisis Sentimen Komentar SIAKAD Menggunakan Metode Naive Bayes Classifier Kaka, Dualu Lado; Pati, Gergorius Kopong; Rato, Karolus Wulla
Jurnal Kridatama Sains dan Teknologi Vol 5 No 02 (2023): JURNAL KRIDATAMA SAINS DAN TEKNOLOGI
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/kst.v5i02.933

Abstract

In all industries, information and communication technology is expanding very quickly. All administrative tasks have ramifications that genuinely call for technology. When the innovation successfully mixes technology with information, the position of this technology becomes increasingly significant. Information technology has permeated so deeply into even the most insignificant aspects of human life, such as the use of academic information systems (SIAKAD) in raising the caliber of academic services, that there are many users who use it in their daily lives who have witnessed an acceleration of change that was previously unimaginable. Public sentiment was categorized and then used to conduct the analysis. The Navie Bayes Classifier is the main technique applied in this study. To assess the degree of accuracy, a comparison will be made using this approach. Positive and negative emotions are classified as sentiments. The purpose of this study is to tell the public about SIAKAD by utilizing student feedback and understanding the degree of accuracy of the techniques examined for method comparison. The test results will undergo method testing and accuracy testing using the Rapidminer tool.Keywords: Navie Bayes Classifier, SIAKAD
Co-Authors Pati, Gergorius Kopong Rato, Karolus Wulla