Pengembangan Sistem Rekomendasi Melalui Pendekatan Web Semantik dan Simple Additive Weighting (SAW)

Indonesia is one of the countries that have largest growth after China and India in use mobile phones. eMarkerter published number phone users increased by 37.1% from 2016 to 2019 it reached 92 million users. This study aims develop a recommendation system with semantic web approach using Simple Additive Weighting Method (SAW). The prototype available online at http://mobile.oss.web.id has 3 main features, namely searching, browsing, features. process recommending information been stored Ontology. Meanwhile, mechanism uses SAW method as calculating weight each cellphone criteria. Evaluation functional requirements Black-Box testing approach, while evaluation non-functional requirement systems Technology Acceptance Model (TAM) involving 32 respondents. final result shows functionality running well expected. Moreover, non-functionality showed on average respondents involved agreed developed was useful easy