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Journal : Journal of Intelligent Decision Support System (IDSS)

Decision making for network security with simple additive weighting method Andi Zulherry
Journal of Intelligent Decision Support System (IDSS) Vol 6 No 3 (2023): September : Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v6i3.162

Abstract

In an increasingly complex digital era, network security has become a crucial aspect in maintaining data integrity, confidentiality, and availability. Effective decision-making methods to select the right network security solution are becoming increasingly important. This article describes the application of the Simple Additive Weighting (SAW) method as a support tool in the context of decision-making for network security. In the presented case study, three network security solutions are evaluated based on four important criteria: data encryption level, threat detection, access management, and network performance. The SAW method is used to assign weights to each criterion and generate a ranking of solutions based on the final score. The results show that SAW provides a clear and structured view of the network security solution that best fits the user's needs and priorities. The conclusion of this research is that the SAW method can be used as a useful tool in making informed decisions in the context of network security. SAW allows organizations to adjust their priorities by setting the appropriate criteria weights, thus enabling the selection of solutions that are best suited to the unique needs of each organization. In an era of ever-evolving cyber threats, the ability to make effective decisions in the face of security challenges is becoming increasingly important, and the SAW method can be a valuable tool in achieving that goal.
Implementation of AHP method in decision support system for AC brand selection at PT. Gemilang Haris, Muhammad; Zulherry, Andi; Limbong, Isman Efendi; Tanjung, Mahardika Abdi Prawira
Journal of Intelligent Decision Support System (IDSS) Vol 7 No 3 (2024): Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v7i3.257

Abstract

The selection of the optimal AC brand for PT Gemilang faces complex challenges as it involves the evaluation of various criteria such as quality, cost, energy efficiency, and after-sales service. This research aims to apply the Analytic Hierarchy Process (AHP) method to determine the best AC brand based on these criteria. The AHP method is used to develop a comparison matrix, calculate the weights of criteria and alternatives, and check the consistency of the results. The analysis results show that Brand B has the highest final weight, making it the most optimal choice compared to the other alternatives. The implications of this study show that the AHP method can be effectively used for multi-criteria decision-making in product selection, providing data-driven recommendations and reducing subjective bias in the selection process. This research makes a significant contribution to a more structured decision-making practice at PT Gemilang.