Article Per Year (5 Year)
p-Index From 2019 - 2024
1.295
P-Index
This Author published in this journals
All Journal Jurnal ULTIMATICS International Journal Of Science, Technology & Management (IJSTM) Prosiding Konferensi Nasional PKM-CSR The Indonesian Journal of Computer Science
Raymond Oetama
Universitas Multimedia Nusantara
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Nursing Public Health Social Sciences Transportation

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : International Journal Of Science, Technology

 1 
Training Recommendation using Simple Addictive Weighting in Agriculture Product Trading Company Raymond Oetama; Mayang Andila
International Journal of Science, Technology & Management Vol. 4 No. 3 (2023): May 2023
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v4i3.820

Abstract

The use of System Application and Processing (SAP) software is becoming increasingly popular among businesses, and ensuring employees receive adequate training is essential for effective use. However, there are common problems associated with SAP training, such as the lack of adequate training materials, training module quality, insufficient training facilities, and inadequate coach quality. These problems can result in employees not receiving the training they need to operate the software effectively, leading to a lack of productivity and efficiency in the workplace. To address these issues, the development of a training recommendation application using XAMPP, HTML, PHP, and CSS has been successful. The application offers an integrated, secure, and accurate solution to select the most appropriate SAP Training Module for each employee based on their performance across different attributes. The User Acceptance Testing (UAT) carried out with the Human Resource staff showed that the application built using the Simple Additive Weighting (SAW) method was 100% effective in selecting the best module for each employee. The SAW method considers the weighted sum of performance rankings for each module, providing a reliable and accurate recommendation for the most suitable module for each employee.
Co-Authors Friska Natalia I Gusti Agung Ayu Made Bidari Bening Buana Jansi Kamasi Ramantha Romersono Mayang Andila Michael Saputra Suryono Ririn Ikana Desanti Wella Wella Wira Munggana