SISTEM PENDUKUNG KEPUTUSAN PENENTUAN BIDANG MINAT SISWA DENGAN MENGGUNAKAN METODE NAIVE BAYES (STUDI KASUS : SMA NEGERI 6 SEMARANG)
| Title | SISTEM PENDUKUNG KEPUTUSAN PENENTUAN BIDANG MINAT SISWA DENGAN MENGGUNAKAN METODE NAIVE BAYES (STUDI KASUS : SMA NEGERI 6 SEMARANG) |
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| Author | Eko Sulistiyo |
| Abstract | ABSTRACT SMA Negeri 2 Semarang, located at Jalan Ronggolawe No. 4, Gisikdrono, Kec. West Semarang, Semarang City in teaching and learning activities, this school has 2 (two) departments for students of class XI and XII, namely majoring in Science (Natural Sciences) and Social Sciences (Social Sciences). In fact, many students of class X are facing obstacles in determining the majors they will choose at the XI and XII grades. These students are still hesitant and hesitant in choosing a major that suits their respective areas of interest. In the end, it is not uncommon for them to choose and make decisions about majors not because of the consideration of their respective areas of interest and ability, but based on recommendations from friends and areas of interest that have been mostly chosen. In overcoming this problem the writer wants to make a system using the Rapid Application Development (RAD) model system development method. This method was chosen because of the much faster development and yields of better quality than the results achieved through other methods. In addition, the authors use the Naive Bayes Classifier algorithm. The use of the Naive Bayes Classifier method is used to classify data for class XI and XII students to become a reference for the system later. The system in question is a decision support system (SPK) that can recommend and direct areas of interest / majors that are suitable for class X SMA Negeri 6 Semarang that can be used to solve these problems. It is hoped that this system can help class X students of SMA Negeri 6 Semarang in selecting areas of interest / majors. |
| Keywords | DSS, Rapid Application Development, Naive Bayes Classifier. |
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| Download | Download File |
| Issn | 2302-0709 |
| Doi | - |
| Viewed | 240 |
| Created At | 9 Jan 2022 17.22.10 |