RANCANG BANGUN SISTEM MONITORING DAN PREDIKSI MINAT SISWA SMA MUHAMMADIYAH 10 SURABAYA BERBASIS WEB

Ismail, Yunus Oktavianto and Putra, Handie Pramana and Hurhidayah, Dwi and Hardianti, Meike (2022) RANCANG BANGUN SISTEM MONITORING DAN PREDIKSI MINAT SISWA SMA MUHAMMADIYAH 10 SURABAYA BERBASIS WEB. Undergraduate thesis, UPN Veteran Jawa Timur.

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Abstract

Character building and improving the quality of students are important. Monitoring activities and predicting student interests are needed. It is hoped that this activity can channel students' talents and interests. Researchers observed that consultation or guidance activities at SMA Muhammadiyah 10 Surabaya were still carried out individually. Based on these problems, this research was made with a special purpose, namely to facilitate the consultation / guidance process of student talent interest with counseling guidance teachers. The method used by the author in determining student interest predictions is the Naive Bayes method. The Naive Bayes method is a decision support algorithm that is quite accurate in its application. By using this approach, it is hoped that it can provide an overview to students in determining the majors they will take according to their interests and talents. The output of this program is in the form of suggestions / recommendations from faculty registered in higher education. In the process of producing these outputs, students will be presented with several general questions about the potential of students at the high school level. In making the application of the Monitoring System and predicting student interest at SMA Muhammadiyah 10 Surabaya, it can be concluded that the author can know the performance of the system directly and can design a new system which is expected to be used to help and facilitate teachers in monitoring student activities and making faculty predictions that later can used as a recommendation to register at the university of choice. Keyword: Monitoring System, Naïve Bayes Classification

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsNIDN/NIDKEmail
Thesis advisorMuttaqin, FaisalNIDN0031128503faisalmuttaqin.if@upnjatim.ac.id
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Computer Science > Departemen of Informatics
Depositing User: Yunus Oktavianto Ismail
Date Deposited: 07 Jun 2022 01:53
Last Modified: 07 Jun 2022 01:53
URI: http://repository.upnjatim.ac.id/id/eprint/6794

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