Decision making model design for antivirus software selection using Factor Analysis and Analytical Hierarchy Process

Abstract

Virus spread increase significantly through the internet in 2017. One of the protection method is using antivirus software. The wide variety of antivirus software in the market tends to creating confusion among consumer. Selecting the right antivirus according to their needs has become difficult. This is the reason we conduct our research. We formulate a decision making model for antivirus software consumer. The model is constructed by using factor analysis and AHP method. First we spread questionnaires to consumer, then from those questionnaires we identified 16 variables that needs to be considered on selecting antivirus software. This 16 variables then divided into 5 factors by using factor analysis method in SPSS software. These five factors are security, performance, internal, time and capacity. To rank those factors we spread questionnaires to 6 IT expert then the data is analyzed using AHP method. The result is that performance factors gained the highest rank from all of the other factors. Thus, consumer can select antivirus software by judging the variables in the performance factors. Those variables are software loading speed, user friendly, no excessive memory use, thorough scanning, and scanning virus fast and accurately.

Decision Support System Determining Computer Virus Protection Applications Using Simple Additive Weighting (SAW) Method

“…Research (Saputri, 2018) on the selection of antivirus software for laboratories using the Analytic Hierarchy Process (AHP) method resulted in AVG anti -virus being the right choice because it received the highest priority. Subsequent research with the title Decision making model design for antivirus software selection using Factor Analysis and Analytical Hierarchy Process produced The priority weight score factors are: Performance, Internal, Capacity, Security, Time (Nurhayati, Gautama, & Naseer, 2018). The results of research (Devi & Kumar, 2016)on an analysis of the type of anti -virus produced by Kaspersky anti -virus are the best antivirus software because of their good performance in the form of features, support and a satisfying user experience.The research conducted by (Niroomand, Mosallaeipour, & Mahmoodirad, 2020) producing a new modified version of the Simple Additive Weighting (SAW) method, the novelty includes overcoming the time interval value, keeping the possibility of choosing the best set of locations among all possible locations as well as for the managerial limitations of the problem.…”

Faktor-faktor penunjang produk nano spray dengan metode factor analysis

“…Tujuan dari analisis faktor adalah untuk mendapatkan jumlah faktor yang lebih sedikit daripada (Nurhayati et al, 2018).…”

A review of Artificial Intelligence Algorithms (Machine Learning Algorithm) for Intrusion Detection in Software-Defined Networking

“…The 2017 Internet Security Threat Report by Symantec [63], has exposed that the magnitude and seriousness of zero-day attacks in 2016 were vastly more significant than in previous years, with an unbelievable three billion attacks reported. As per the statistics about data breaches, hackers have been held responsible for the loss or theft of nearly nine billion data records since 2013.…”