Klasifikasi Sentiment Analysis pada Saran Pelayanan dan Fasilitas Perpustakaan Politeknik Caltex Riau menggunakan Algoritma K-Nearest Neighbor
Abstract
The libraries will annually evaluate the services and facilities provided during the year by giving the questionnaire. The questionnaire contains a statement of advice is feedback given to the students of PCR library services and facilities. The data is useful to classify the student suggestions into sentiment analysis. Data advice given student must have a number of lots that require time for processing. He built a system that can help the library to process data from student suggestions are Classification Sentiment Analysis in Saran Library Services and Facilities PCR with k-Nearest Neighbor algorithm so that the libraries can be to determine the classification of the advice of students to the library. From this study, the classification of suggestions using the k-Nearest Neighbor algorithm obtained prediction accuracy of 85% with a value of k 3.Published
Issue
Section
License
Copyright info for authors
1. Authors hold the copyright in any process, procedure, or article described in the work and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2. Authors retain publishing rights to re-use all or portion of the work in different work but can not granting third-party requests for reprinting and republishing the work.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) as it can lead to productive exchanges, as well as earlier and greater citation of published work.