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All Journal Jurnal Sarjana Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA Jambura Journal of Mathematics Jurnal Teknologi Dan Sistem Informasi Bisnis Journal of Applied Engineering and Technological Science (JAETS) Jurnal Ilmu Komputer Journal of Computer Scine and Information Technology Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Jurnal Sains dan Teknologi IJCOSIN : Indonesian Journal of Community Service and Innovation SATIN - Sains dan Teknologi Informasi
Gushelmi
Univerisitas Putra Indonesia YPTK Padang
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Automotive Engineering Chemical Engineering, Chemistry & Bioengineering 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 Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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Recommendation for Prospective Permanent Employees using the Simple Additive Weighting Method Ahmad Haidir; Gushelmi; Mutiana Pratiwi
Journal of Computer Scine and Information Technology Volume 10 Issue 4 (2024): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v10i4.113

Abstract

The rapid development of technological progress has made the use of personal computer technology increase significantly, where this use has made computers into branches that can still be developed, one of which is creating a decision-making system. Decision Support System is a computer-based system that is intended to assist decision making by utilizing certain data and models to solve various semi-structured problems. The application of Decision Support Systems can be found in various fields, one of which is a decision support system for prospective employees. This study aims to design a system that can provide the best decision in determining permanent employees at J&T Express Kotanopan. The method used in this study is the SAW (Simple Additive Weighting) method, with a website-based decision support system that can be used without time and place constraints, it can help J&T Express in selecting permanent employees. The results of testing this method have an accuracy level of more than 90% based on the data tested. Based on the results of the highest value obtained using the SAW method, this study was successful in determining permanent employees at J&T Express Kotanopan
Data Mining Dalam Pengelompokkan Intelligence Quotient (IQ) Pada Anak Reterdasi Mental Dengan Menggunakan Algoritma K-Means gushelmi gushelmi; Diana Kemala; Muhammad Afdhal
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 8 No 1 (2026): Januari 2026
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i1.2447

Abstract

Traditional methods for classifying children with mental retardation based on fixed IQ score thresholds are often inadequate in capturing the diversity of intellectual abilities. This study proposes the use of data mining techniques, specifically the K-Means clustering algorithm, to group Intelligence Quotient (IQ) data derived from psychological assessments. The research methodology consists of data collection, data preprocessing, selection of the optimal number of clusters, and implementation of the K-Means algorithm. The experimental results demonstrate that the proposed approach can successfully cluster IQ data into multiple groups representing distinct levels of intellectual functioning. The resulting clusters can be utilized as a decision-support mechanism to assist educators and practitioners in selecting appropriate instructional methods and intervention strategies in the field of special education.
Co-Authors Afdhal, Muhammad Afifah Sagita Pratiwi Ahmad Haidir ARIF HIDAYAT Arif Hidayat Atika Ratna Dewi Azlina Ahmad Bagus Priambodo Deded Ramad Kamda Diana Kemala Dinda Putri Insani Dodi Guswandi Fajrul Islami Fauzan Ramadhoni Febri Hadi Kemala, Diana Liga Mayola M.Hafizh Maidawati Maifuza Binti Mohd Amin Miftahul Huda Muhammad Afdhal Mutiana Pratiwi Naf’an, Emil Neldi, Mondra Novita Triana Rabiah Abdul Kadir Rahman, Sepsa Nur Ramadhoni, Fauzan Ridho Ananda Ruci Meiyanti Samidi Samidi Selvi Zola Fenia Yayan Septiadi