Algorithm comparison performance in assessing the quality of university websites

Abstract

The rapid use of the internet in education field encourages website developers to make improvements in university website quality. University websites are also part of the criteria of a higher education institution performance appraisal. Thus, a good university is considered to have a good website. The website reflects the popularity and prestige of a college. There are at least three university ranking agencies of the world with different ratings on the quality of the website. Due to several elaborated and numerous criteria, the quality rating of the website is often associated with Multi-Criteria Decision-Making issues. Linear Weightage Model (LWM) and Simple Additive Weighting (SAW) are the simplest algorithm for data rank. This paper aims to compare LWM and SAW algorithm performance to determine the best method on ranking University websites. This research uses five testing of usability criteria: load time, page rank, traffic, stickiness, and backlink. The results of LWM algorithm of the experiment using the language of C++ have more rapid execution time in comparison to SAW. Based on the results of Pair sample t test, both algorithms have significant different effects on ranking results because of the different of normalization process.