Main Article Content

Samuel Van Basten Halomoan Manurung
Indra M Sarkis Simamora
Herlina Allagan

Abstract

Education is a process in the framework that can adapt to the environment and thus will cause changes in themselves that enable it to involve all that is in society. In this case, the process of selecting the best teachers and staff in data processing is still done manually by conducting tests through several criteria that have been made. Criteria used for the process. There are 19 criteria. The selection process carried out manually has several weaknesses so that it will result in errors in data processing. For this reason, a Decision Support System is needed that can be used in the process of selecting the best Teachers and Staff. In this study, using the calculation method calculation methods Moora, SAW, and WASPAS with scholarship recipients. The results obtained from the Moora Method are 3 (three) highest values at V1 = 1.89; V8 = 1.81; and V2 = 1.80, the SAW Method was 3 (three) highest values at V1 = 10.38; V8 = 9.90; and V2 = 9.87. The WASPAS method that 3 is highest at V1 = 5.07; V8 = 4.72; and V2 = 4.68. The system created using the SAW method because it provides the Best Alternative value and provides the best ranking results

Downloads

Download data is not yet available.

Article Details

How to Cite
Manurung, S. V. B. H., Indra M Sarkis Simamora and Herlina Allagan (2021) “Comparison of Moora, Waspas and SAW Methods in Decision Support Systems”, Jurnal Mantik, 5(2), pp. 485-493. doi: 10.35335/mantik.Vol5.2021.1266.pp207-215.
References
[1] S. V. B. Manurung, F. G. N. Larosa, I. M. S. Simamora, A. Gea, E. R. Simarmata, and A. Situmorang, “Decision Support System of Best Teacher Selection using Method MOORA and SAW,” in 2019 International Conference of Computer Science and Information Technology (ICoSNIKOM), Medan, Indonesia, Nov. 2019, pp. 1–6, doi: 10.1109/ICoSNIKOM48755.2019.9111550.
[2] S. Manurung, “SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN GURU DAN PEGAWAI TERBAIK MENGGUNAKAN METODE MOORA,” Simetris J. Tek. Mesin Elektro Dan Ilmu Komput., vol. 9, no. 1, pp. 701–706, Apr. 2018, doi: 10.24176/simet.v9i1.1967.
[3] A. Daghouri, K. Mansouri, and M. Qbadou, “Towards a decision support system, based on the systemic and multi-agent approaches for organizational performance evaluation of a risk management unit: Banks case,” in 2017 Intelligent Systems and Computer Vision (ISCV), Fez, Morocco, Apr. 2017, pp. 1–8, doi: 10.1109/ISACV.2017.8054918.
[4] D. Kalibatas and Z. Turskis, “MULTICRITERIA EVALUATION OF INNER CLIMATE BY USING MOORA METHOD,” p. 5.
[5] Hon. Causa and W. K. M. Brauers, “Location of a seaport by MOORA optimization,” in 2014 International Conference on Advanced Logistics and Transport (ICALT), Hammamet, Tunisia, May 2014, pp. 275–280, doi: 10.1109/ICAdLT.2014.6866324.
[6] M. Sam’an, Farikhin, B. Surarso, and S. Zaki, “A modified algorithm for full fuzzy transportation problem with simple additive weighting,” in 2018 International Conference on Information and Communications Technology (ICOIACT), Yogyakarta, Mar. 2018, pp. 684–688, doi: 10.1109/ICOIACT.2018.8350745.
[7] B. C. Cuong, N. T. Lich, and D. T. Ha, “Combining Fuzzy Set – Simple Additive Weight and Comparing With Grey Relational Analysis For Student’s Competency Assessment In The Industrial 4.0,” in 2018 10th International Conference on Knowledge and Systems Engineering (KSE), Ho Chi Minh City, Nov. 2018, pp. 294–299, doi: 10.1109/KSE.2018.8573321.
[8] S. Chakraborty and E. K. Zavadskas, “Applications of WASPAS Method in Manufacturing Decision Making,” Informatica, vol. 25, no. 1, pp. 1–20, Jan. 2014, doi: 10.15388/Informatica.2014.01.
[9] Z. Turskis, E. K. Zavadskas, J. Antucheviciene, and N. Kosareva, “A Hybrid Model Based on Fuzzy AHP and Fuzzy WASPAS for Construction Site Selection,” Int. J. Comput. Commun. Control, vol. 10, no. 6, p. 113, Oct. 2015, doi: 10.15837/ijccc.2015.6.2078.
[10] G. Buyukozkan and F. Gocer, “An extension of MOORA approach for group decision making based on interval valued intuitionistic fuzzy numbers in digital supply chain,” in 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS), Otsu, Japan, Jun. 2017, pp. 1–6, doi: 10.1109/IFSA-SCIS.2017.8023358.
[11] A. I. Sakellarios et al., “SMARTool: A tool for clinical decision support for the management of patients with coronary artery disease based on modeling of atherosclerotic plaque process,” in 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Seogwipo, Jul. 2017, pp. 96–99, doi: 10.1109/EMBC.2017.8036771.
[12] P. Chatterjee, L. J. Cymberknop, and R. L. Armentano, “IoT-based decision support system for intelligent healthcare — applied to cardiovascular diseases,” in 2017 7th International Conference on Communication Systems and Network Technologies (CSNT), Nagpur, Nov. 2017, pp. 362–366, doi: 10.1109/CSNT.2017.8418567.
[13] M. Madi?, M. Radovanovi?, and D. Petkovi?, “NON-CONVENTIONAL MACHINING PROCESSES SELECTION USING MULTI-OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS METHOD,” vol. 10, p. 12, 2015.
[14] V. Lytvyn, V. Vysotska, D. Dosyn, O. Lozynska, and O. Oborska, “Methods of Building Intelligent Decision Support Systems Based on Adaptive Ontology,” in 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP), Lviv, Aug. 2018, pp. 145–150, doi: 10.1109/DSMP.2018.8478500.
[15] H. Y. Lin, C. J. Liao, and Y. H. Chang, “Applying fuzzy simple additive weighting system to health examination institution location selection,” in 2010 IEEE 17Th International Conference on Industrial Engineering and Engineering Management, Xiamen, China, Oct. 2010, pp. 646–650, doi: 10.1109/ICIEEM.2010.5646533.
[16] A. Pranolo and S. M. Widyastuti, “Simple additive weighting method on intelligent agent for urban forest health monitoring,” in 2014 International Conference on Computer, Control, Informatics and Its Applications (IC3INA), Bandung, Indonesia, Oct. 2014, pp. 132–135, doi: 10.1109/IC3INA.2014.7042614.
[17] L. Jibao, W. Huiqiang, and Z. Liang, “Study of Network Security Situation Awareness Model Based on Simple Additive Weight and Grey Theory,” in 2006 International Conference on Computational Intelligence and Security, Guangzhou, China, Nov. 2006, pp. 1545–1548, doi: 10.1109/ICCIAS.2006.295320.
[18] F. Ebadifard and S. M. Babamir, “A Multi-Objective Approach With WASPAS Decision-Making for Workflow Scheduling in Cloud Environment,” vol. 1, no. 1, p. 10, 2018.
[19] T. Tundo and D. Kurniawan, “IMPLEMENTATION OF THE WEIGHTED AGGREGATED SUM PRODUCT ASSESMENT METHOD IN DETERMINING THE BEST RICE FOR SERABI CAKE MAKING,” IJID Int. J. Inform. Dev., vol. 8, no. 1, p. 40, Jun. 2019, doi: 10.14421/ijid.2019.08107.