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All Journal Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Journal of Computer Networks, Architecture and High Performance Computing
Idaman, Akbar
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering

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Implementation of Complex Propotional Assesment (COPRAS) in Determining Air Conditioning System Traders Idaman, Akbar; Amrullah, Amrullah; Raja Gunung, Tar Muhammad; Eldo, Handry; Prabowo, Agung
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 5, No 2 (2024)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v5i2.19417

Abstract

Increased global warming and awareness of the need to reduce greenhouse gas emissions have strengthened the focus on energy efficiency in various sectors, including the HVAC (Heating, Ventilation, and Air Conditioning) industry. In this context, the selection of air conditioning (AC) systems becomes crucial in providing thermal comfort. However, decisions regarding air conditioning systems are often complex as they involve considerations of energy efficiency, operational costs, system reliability, and environmental impact. To address this complexity, Complex Proportional Assessment (COPRAS) emerged as an effective multi-criteria analysis method. However, the application of COPRAS in determining AC system traffickers is still limited. This research explores the possible application of COPRAS in this context and identifies key factors to consider. The evaluation results show that Medan Elektronik and Citra Inovasi Prima are the top choices in the selection of AC system traffickers. This research is expected to contribute to the development of more sophisticated analysis methods in the HVAC industry as well as assist decision makers in selecting more appropriate and sustainable air conditioning systems.
Analysis of the Multi Objective Optimization by Ratio Analysis (MOORA) Method in Determining Pilot Areas at PT. XYZ Simamora, Windi Saputri; Harahap, Siti Sarah; Idaman, Akbar; Simatupang, Septian
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4149

Abstract

This research analyzes the application of the Multi Objective Optimization by Ratio Analysis (MOORA) method model in determining the Pilot Area at PT XYZ. This method is used to evaluate various performance criteria, including customer satisfaction, productivity, service quality, and operational efficiency. Currently, the Pilot Area assessment and selection process at PT XYZ is still done manually, which causes a lack of accuracy and efficiency. MOORA was chosen for its ability to handle multi-criteria decision-making problems more systematically and objectively. The analysis results showed that Alternative Area 7 obtained the highest final score of 0.39, placing it as an area with superior performance. The application of MOORA is proven to improve accuracy and efficiency in the Pilot Area determination process, providing a more objective basis for decision-making. By using MOORA, PT XYZ can evaluate area performance more comprehensively and accountably. This research recommends that PT XYZ implement the MOORA method thoroughly and conduct periodic evaluations of the methods used. For theory development, PT XYZ can add specific evaluation criteria according to company needs. The implementation of these suggestions is expected to improve the quality of service and competitiveness of PT XYZ in the global market. Further research is expected to compare MOORA with other methods to strengthen the validity of the results. Thus, this research not only provides a practical contribution to PT XYZ but also adds academic insight into the application of multi-criteria optimization methods in the context of performance management and service improvement.
Co-Authors Agung Prabowo Amrullah Amrullah Eldo, Handry Harahap, Siti Sarah Raja Gunung, Tar Muhammad Simamora, Windi Saputri Simatupang, Septian