Implementasi Data Mining C4.5 Penerapan Algoritma C.45 Untuk Memprediksi Tingkat Kepuasan Mahasiswa Terhadap Politeknik Bisnis Indonesia
Year: 2021
Type: article
Abstract: Universities are not only required to provide services for students, but also must be able to compete to maintain service quality. This demand is absolutely necessary in order to create a loyalty for the community which will become valuable capital for an organization in the future. This study aims to recommend the satisfaction of Indonesian business polytechnic students by using the C4.5 data mining classification technique. Sources of data were obtained from questionnaires distributed via google form to final semester students (class of 2018) at the Indonesian Business Polytechnic. The attributes used to assess visitor satisfaction include: Tuition Fee Tariff, Campus Facilities, Administrative Services, Lecturer Services, Recommendation Level. The results of data processing using the C4.5 method through the RapidMiner tools obtained an accuracy value of 80.00%, precision 79.19%, and recall 79.19% with Satisfied criteria.
Institution: Politeknik Bisnis Indonesia
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: bronze
OpenAlex ID: W4289769035