Decision support system for novel recommendation using analytical hierarchy process and Vikor

Fake news or often called hoaxes have been circulating which has caused unrest in the community. One way to combat hoaxes is by cultivating literacy, especially novel literary works. Periodically, several websites contain novel recommendations that are sourced from other readers’ judgments that tend to be subjective. The purpose of this research is to build a web-based novel recommendation application using the AHP-VIKOR integration method. The criteria for evaluating novels used in this research are novel rating value, author rating value, author popularity value, and total award value. This research has six stages, namely data collection, data processing, system analysis, system design, system implementation and system evaluation. The results of the system evaluation showed that 81.8% of the respondents agreed that the system was easy to operate, 72.7% agreed with the ease of understanding the language of the system, 45.5% agreed and 54.5% strongly agreed with the results generated according to user expectations.