Implementation of Complex Propotional Assesment (COPRAS) in Determining Air Conditioning System Traders

Akbar Idaman, Amrullah Amrullah, Tar Muhammad Raja Gunung, Handry Eldo, Agung Prabowo

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.

Keywords


Traders; Air Conditioning System; Decision Support System; COPRAS.

Full Text:

PDF

References


Alkan, Ö., & Albayrak, Ö. K. (2020). Ranking Of Renewable Energy Sources For Regions In Turkey By Fuzzy Entropy Based Fuzzy Copras And Fuzzy Multimoora. Renewable Energy, 162, 712–726. Https://Doi.Org/10.1016/J.Renene.2020.08.062

Coprasdalam Penentuan Kepolisian Sektor Terbaik, P., Ginting, G., Alvita, S., Karim, A., Syahrizal, M., & Khairani Daulay, N. (2020). Penerapan Complex Proportional Assessment (Copras) Dalam Penentuan Kepolisian Sektor Terbaik. In Jurnal Sains Komputer & Informatika (J-Sakti (Vol. 4, Issue 2).

Dhiman, H. S., & Deb, D. (2020). Fuzzy Topsis And Fuzzy Copras Based Multi-Criteria Decision Making For Hybrid Wind Farms. Energy, 202. Https://Doi.Org/10.1016/J.Energy.2020.117755

Goswami, S. S., Behera, D. K., Afzal, A., Kaladgi, A. R., Khan, S. A., Rajendran, P., Subbiah, R., & Asif, M. (2021). Analysis Of A Robot Selection Problem Using Two Newly Developed Hybrid Mcdm Models Of Topsis-Aras And Copras-Aras. Symmetry, 13(8). Https://Doi.Org/10.3390/Sym13081331

Hezer, S., Gelmez, E., & Özceylan, E. (2021). Comparative Analysis Of Topsis, Vikor And Copras Methods For The Covid-19 Regional Safety Assessment. Journal Of Infection And Public Health, 14(6), 775–786. Https://Doi.Org/10.1016/J.Jiph.2021.03.003

Hutagalung, J., & Indah R, M. T. (2021). Pemilihan Dosen Penguji Skripsi Menggunakan Metode Aras, Copras Dan Waspas. Jurnal Sisfokom (Sistem Informasi Dan Komputer), 10(3), 354–367. Https://Doi.Org/10.32736/Sisfokom.V10i3.1240

Idaman, A., Arahman, H., Muis, A., Muhammad Raja Gunung, T., & Eldo, H. (2023). Implementation Of The Oreste Method In Determining The Selection Of Service Ambassador Events. Journal Of Computer Networks, Architecture And High Performance Computing, 6(1), 45–54. Https://Doi.Org/10.47709/Cnahpc.V6i1.3225

Kustiyahningsih, Y., & Aini, I. Q. H. (2020, October 3). Integration Of Fahp And Copras Method For New Student Admission Decision Making. Proceeding - 2020 3rd International Conference On Vocational Education And Electrical Engineering: Strengthening The Framework Of Society 5.0 Through Innovations In Education, Electrical, Engineering And Informatics Engineering, Icvee 2020. Https://Doi.Org/10.1109/Icvee50212.2020.9243260

Pamučar, D., & Savin, L. (2020). Multiple-Criteria Model For Optimal Off-Road Vehicle Selection For Passenger Transportation: Bwm-Copras Model. Vojnotehnicki Glasnik, 68(1), 28–64. Https://Doi.Org/10.5937/Vojtehg68-22916

Panjaitan, Z., Setiawan, D., & Triguna Dharma, S. (2023). Application Of The Moora Method In The Decision Support System For Selecting The Best Font Authors On Ably Creative Font. In Journal Of Science And Social Research (Issue 1). Http://Jurnal.Goretanpena.Com/Index.Php/Jssr

Rizki Tanjung, S., & Siagian, M. V. (2021). Penerapan Metode Copras Dan Entropy Dalam Pemilihan Anggota Badan Pengawas Pemilihan Umum (Bawaslu). In Journal Of Informatics Management And Information Technology (Vol. 1, Issue 2). Https://Hostjournals.Com/

Roozbahani, A., Ghased, H., & Hashemy Shahedany, M. (2020). Inter-Basin Water Transfer Planning With Grey Copras And Fuzzy Copras Techniques: A Case Study In Iranian Central Plateau. Science Of The Total Environment, 726. Https://Doi.Org/10.1016/J.Scitotenv.2020.138499

Sałabun, W., Watróbski, J., & Shekhovtsov, A. (2020). Are Mcda Methods Benchmarkable? A Comparative Study Of Topsis, Vikor, Copras, And Promethee Ii Methods. Symmetry, 12(9). Https://Doi.Org/10.3390/Sym12091549

Tira Wulandari, F., Triayudi, A., & Sussolaikah, K. (2024). Sistem Pendukung Keputusan Penilaian Kinerja Dosen Menggunakan Metode (Copras). Journal Of Information System Research (Josh), 5(2), 592–602. Https://Doi.Org/10.47065/Josh.V5i2.4805

Triayudi, A., Nugroho, F., Simorangkir, A. G., & Mesran, M. (2022). Sistem Pendukung Keputusan Dalam Penilaian Kinerja Supervisor Menggunakan Metode Copras Dengan Pembobotan Roc. Journal Of Computer System And Informatics (Josyc), 3(4), 461–468. Https://Doi.Org/10.47065/Josyc.V3i4.2214

Yolanda, T., & Sihite, M. (2020). Sistem Pendukung Keputusan Penentuan Kelompok Nelayan Terbaik Menerapkan Metode Copras (Vol. 7, Issue 2).




DOI: https://doi.org/10.30596/jcositte.v5i2.19417

Refbacks

  • There are currently no refbacks.