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All Journal Jurnal Media Infotama CESS (Journal of Computer Engineering, System and Science) JURNAL MEDIA INFORMATIKA BUDIDARMA JurTI (JURNAL TEKNOLOGI INFORMASI) GATOTKACA Journal (Teknik Sipil, Informatika, Mesin dan Arsitektur) Jurnal Komputer, Informasi dan Teknologi Jurnal Multidisiplin Dehasen (MUDE) Jurnal Dehasen Untuk Negeri Digital Transformation Technology (Digitech)
Prahasti
Universitas Dehasen Bengkulu
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Journal : Jurnal Multidisiplin Dehasen (MUDE)

 1 
Application of the Preferences Selection Index Method in the Selection of Trainer (Teaching Staff) Khinanti PKBM Case Study Shely Priselia Deyanti; Sapri Sapri; Prahasti Prahasti
Jurnal Multidisiplin Dehasen (MUDE) Vol 1 No 1 (2022): Januari
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1080.623 KB) | DOI: 10.37676/mude.v1i1.1976

Abstract

PKBM Khinanti is a non-formal educational institution center for community learning activities. To get a quality education, a trainer (teaching staff) is needed who is reliable in their field, therefore it is necessary to apply the application of the preferences selection index method in the selection of trainers (teaching staff) for the khinanti pkbm case study. This application can be used to assist the process of assessing trainers (teaching staff) based on predetermined criteria, namely, last education, cumulative index scores, age, and teaching status. Each decision alternative will have these criteria. In this case, to determine the selection of trainers (teaching staff) it is done by summing the weights on each alternative for all attributes, thus this application is able to handle the selection of trainers (teaching staff) so that it will not be difficult to determine the assessment of the selection of trainers (teaching staff).
Penerapan Data Mining Untuk Mengetahui Minat Siswa Pada Pelajaran IPA Mengunakan Metode K-Means Clustering Mardiansa Mardiansa; Herlina Latipa Sari; Prahasti Prahasti
Jurnal Multidisiplin Dehasen (MUDE) Vol 2 No 4 (2023): Oktober
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/mude.v2i4.4749

Abstract

The purpose of this research is to build a data mining application to find out students' interest in science subjects at SMPN 18 Bengkulu City. With data collection techniques by way of observation and interviews, this study used a sample of data on grades IX.8 science subjects with a total of 30 students at SMPN 18 Bengkulu City. The research method used is the K-Means Clustering method because this method separates data into groups that have objects with similar characteristics. In building this application using Xampp server, PHP programming language and MySQL database. This datamining application is used to make it easier for a teacher or admin in this application to manage student data to determine student interest in science subjects. The results of this study were 3 groups of students' interest in science subjects, namely 12 students with high interest, 17 students with moderate interest and 1 student with low interest in SMPN 18 Bengkulu City.
Co-Authors Agung Pradana Iskandar Asnawati Asnawati Desi Mahdalena Devi Sartika Eko Suryana Ferdynan Mashaq Feri Hari Feri Feri Hari Utami Feri Ramadiansyah Herlina Latipa Sari Liza Yulianti Mardiansa Mardiansa Maryaningsih Maryaningsih Nofi Qurniati Rahmad Arfandi Ricky Zulfiandri Sallaby, Achmad Fikri Sapri Sapri Shely Priselia Deyanti Toibah Umi Kalsum Tri Ramadani Venny Novita Sari Victor Yonathan Gultom Yessi Mardiana Yupianti, Yupianti