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All Journal Jurnal Ilmu Komputer (JIK) Riau Jurnal Teknik Informatika
Eko Saputro, Dede
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Computer Science & IT Decision Sciences, Operations Research & Management Materials Science & Nanotechnology

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EVALUASI PEMANFAATAN MEDIA SOSIAL TELEGRAM SEBAGAI SARANA KNOWLEDGE SHARING DENGAN MODEL DELONE & MCLEAN Eko Saputro, Dede
Jurnal Ilmu Komputer Vol 6 No 3 (2023): Jurnal Ilmu Komputer (JIK)
Publisher : LPPM-STMIK Pranata Indonesia

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Abstract

This study aims to evaluate the use of Telegram social media applications that are used as a means of sharing knowledge in a virtual telegram group. The Information System Success Model by Delone and Mclean is used as a basic theory by considering individual characteristic factors. A research model and twelve hypotheses were developed in this study. The model and hypothesis are then tested and validated using data obtained from a survey conducted online. The data obtained is then analyzed using Partial Least Square (PLS) using SmartPLS software. Tests include "measurement model" and "structural model". The results of data processing identify that the use of social media (telegram) has succeeded in becoming a tool for android developers to share information and knowledge. This study found that the factor "system use" and "user satisfaction" were the main factors that influence "individual impact". Keywords: Social media telegram, knowledge sharing, delone & mclean models, android developers, method SEM
Analisis Keputusan Pembelian Mobil Menggunakan Metode MOORA dalam Sistem Pendukung Keputusan Eko Saputro, Dede; Herwis Gultom
Riau Jurnal Teknik Informatika Vol. 4 No. 1 (2025): Maret 2025
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v4i1.3269

Abstract

The purpose of this study is to analyze car purchase decisions using the Multi-Objective Optimization based on Ratio Analysis (MOORA) method. This method was chosen because it is able to handle various conflicting decision-making criteria. The study evaluated fifteen car alternatives based on seven criteria: price, fuel consumption, engine capacity, safety features, comfort, resale value, and CO2 emissions. Price and CO2 emission criteria were considered the most important, while other criteria were considered the most important. The analysis process begins with data collection and the application of criteria for value normalization for each alternative. Then, the final score is obtained by summing the normalization value of the maximized criteria and subtracting the normalization value of the minimized criteria. The results of the analysis show that the car that receives the highest score is the most suitable to buy. This research shows how the MOORA method functions in decision support systems and provides useful knowledge to consumers on how to make more informational and data-driven purchasing decisions.
Co-Authors Herwis Gultom