Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal Melek IT: Information Technology Journal
Mumun Nurwilawati
Universitas Wijaya Kusuma Surabaya
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Klasifikasi Siswa Menggunakan Bayesian Classification Di Uptd Smp Negeri 2 Baron Yenita Endah Puspitowati; Mumun Nurwilawati; Daniel Swanjaya
Melek IT : Information Technology Journal Vol. 1 No. 1 (2015): Melek IT : Information Technology Journal
Publisher : Informatics Engineering Department-UWKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (548.439 KB) | DOI: 10.30742/melekitjournal.v1i1.36

Abstract

To provide learning for students is not enough only in academics , but also needed in non- academic fields such as counseling . With counseling , psychological known how the students with what they are experiencing , so it takes the handling of student counseling . Giving questionnaire or questionnaires to students is a way to find out the problems in a natural student . This research is the development of the students' classification problems using Bayesian classification . Data obtained using a questionnaire that has been converted into a computerized , then weighted and processed using a Bayesian classification to obtain results in student services . Classification of students using Bayesian classification can generate services to students in accordance with the natural problems in students . Through the classification of students with Bayesian classification devote facilitate students in their personal problems without difficulty or feel embarrassed , but it also helps administrators in data processing to generate the appropriate student services on student issues . The use of Bayesian classification algorithm is suitable to assist performance and efficiency while counseling guidance teachers in performing services to students.
Co-Authors Daniel Swanjaya Yenita Endah Puspitowati