Analysis of Internet Service Provider Selection Using the Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) Methods

Abstract

Currently, the need for internet connection is increasing due to the human need for information and communication that can be obtained through the internet. However, it is difficult for consumers to make decisions because of the many choices offered by internet service provider companies. So far, consumers have chosen providers based on information from various sources. Therefore, the availability of a system that helps make decision support is expected to help in choosing the desired or required internet service package. A decision support system with many criteria is needed to solve the challenge of choosing an internet package, which has many components or criteria that must be evaluated. Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) are two multi-criteria decision support system techniques, but they both use different measurement techniques. The aim of this research is to identify the best Internet Service Provider by applying the Simple Additive Weight (SAW) and Analytic Hierarchy Process (AHP) techniques. The objects used in this research are the providers Indihome, Biznet, and Solnet. The weight of each criterion is determined using the AHP technique, and the best suppliers are ranked using the SAW approach. The sampling technique used in this research was Purposive Sampling. The author uses a questionnaire data collection technique in the form of Google Form. In this study, the ranking results of 100 respondents showed that the ranking for the AHP method was 60% and for the SAW method was 92%. Thus, global calculations using the AHP and SAW methods were obtained for the best alternative ISP, namely Indihome.