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

Fake news or often called hoaxes have been circulating winch has caused unrest m the community. One way to combat hoaxes is by cultivating literacy, especially novel literary works. Periodically, several websites contam novel recommendations that are soureed from other readers' judgments that tend to be subjective. The purpose of this research is to build a web-based novel recommendation application usmg the AHP-VJKOR integration method. The criteria for evaluating novels used in this research are novel ratmg value, author rating value, author popularity value, and total award value. This research has six stages, namely data collection, data processmg, 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 accordmg to user expectations.