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Recommendations according to the criteria of people. The opinion sentiment value of eachĪlternative will be included in the AHP calculation to get the best alternative

Understanding, extracting, and processing textual data to get sentiment The criteria is using sentiment analysis. AHP isĪ multi-criteria decision-making method, which in this research one of In this research uses the analytical hierarchy process (AHP) method. This research providesĪ system that can provide recommendations for decision support peopleĪccording to their criteria, which are web-based. People in making decisions that fit their criteria. Therefore, a recommendation system is needed to support People must make the rightĬhoice and according to their needs. Problems in the people in determining a choice. ISSN: 1693-6930, accredited First Grade by Kemenristekdikti, Decree No: 21/E/KPT/2018ĭOI: 10.12928/TELKOMNIKA.v18i3.14778  1343Ĭomputer and Informatic Engineering Department, Politeknik Elektronika Negeri Surabaya, IndonesiaĬreative Multimedia Technology Department, Politeknik Elektronika Negeri Surabaya, Indonesia TELKOMNIKA Telecommunication, Computing, Electronics and Control The result of this research is that the system can provide recommendations to people or users according to their criteria and alternatives as well as public opinion about each alternative.Īpplication of recommendation system with AHP method and sentiment analysis The opinion sentiment value of each alternative will be included in the AHP calculation to get the best alternative recommendations according to the criteria of people. Sentiment analysis is the process of understanding, extracting, and processing textual data to get sentiment information from an opinion sentence. AHP is a multi-criteria decision-making method, which in this research one of the criteria is using sentiment analysis. The decision-making system in this research uses the analytical hierarchy process (AHP) method. This research provides a system that can provide recommendations for decision support people according to their criteria, which are web-based. Therefore, a recommendation system is needed to support people in making decisions that fit their criteria. Not an easy thing for people to make these choices. People must make the right choice and according to their needs.

Needs that must be met, often cause problems in the people in determining a choice.