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All Journal Educational Insights International Journal of Technology and Modeling
Munawaroh, Nina Siti
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Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Application of Naïve Bayes Algorithm on Determining Student Concentration in Mathematics Learning Process Kusmanto, Hadi; Munawaroh, Nina Siti; Sofhya, Herlinda Nur'afwa
Educational Insights Vol. 2 No. 2 (2024): December 2024
Publisher : PT Ilmu Inovasi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58557/eduinsights.v2i2.100

Abstract

This research on student concentration in the math learning process by applying the Naïve Bayes algorithm which aims to (1) determine the Naïve Bayes Algorithm in determining student concentration in the math learning process, (2) determine the chances of student concentration in the math learning process. This research uses the Naïve Bayes classification data mining method. This research was conducted at SMPN 4 Cirebon City with a total sample of 101 students The instrument used was a student questionnaire. The results showed: data mining has 4 stages consisting of datasets, data cleaning, data grouping, namely data grouping, and Naïve Bayes algorithm modeling. A model was obtained to predict the class by multiplying the probability of each criterion and then multiplying it by the probability of concentration or the probability of less concentration. There are 0.7 concentration classes and 0.3 less concentration classes. Based on the RapidMiner application, there is an Accuracy value of 94.00%. Class precision on concentration prediction has a value of 94.44%, while the prediction of less concentration has a value of 92.85%. Class recall on true concentration has a value of 97.14%, while on true lack of concentration has a value of 85.57%.
Improve Assertiveness Towards Students Questions in The Language of Mathematical Logic Firmansya, Arief; Hidayani, Sri Murni; Munawaroh, Nina Siti
International Journal of Technology and Modeling Vol. 1 No. 1 (2022)
Publisher : Etunas Sukses Sistem

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63876/ijtm.v1i1.1

Abstract

Assertiveness or Assertiveness in the perspective of Education is a domain of social skills among cooperation, responsibility, and self-control. Mathematics is a scary subject, this is one that relates to their assumptions. This fear causes math anxiety. When learning mathematics, it also includes math anxiety in the students' mathematical logic material. Mathematics anxiety in mathematical logic material is a form of students emotional response in mathematics subjects, listening to teachers when discussing mathematics lessons and solving student problems in mathematics, students' psychological conditions related to mathematics anxiety in students' mathematical logic materials and the effect of assertive attitudes towards mathematics anxiety in mathematics. students' mathematical logic material, which has an increase of about 2.65 from the average score obtained at Senior High Schools in Cirebon City
Co-Authors Firmansya, Arief Hadi Kusmanto, Hadi Hidayani, Sri Murni Sofhya, Herlinda Nur'afwa