Open AccessUnderstanding user feedback on learning management system of SIPEJAR by using text mining techniques
Author(s) -
Puji Rahmawati,
Aisyah Larasati,
Muhammad Farhan,
Apif M. Hajji,
Nolang Fanani
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1072/1/012017
Subject(s) - computer science , quality (philosophy) , service (business) , learning management , interface (matter) , world wide web , philosophy , economy , epistemology , economics , bubble , maximum bubble pressure method , parallel computing
SIPEJAR ( Sistem Pengelolaan Pembelajaran ) as a learning management system can organize various activities in e-learning such as assignments, exams, learning materials, etc. This study aimed to use text mining techniques to extract information from the answers given by respondents toward questions about SIPEJAR. Text mining is one of the techniques used to extract and analyze useful information from the unstructured data. The data were collected using an online survey, and the total data collected is 10,456 but only 9,315 were used. The results show that course material, assignment, and search for information are the three most important factors that motivate students to access SIPEJAR. In the contrary, the factors that lead students to reluctant using SIPEJAR is bad quality network, difficulty to use, and frequently server down. In addition, the factors that need to be improved from SIPEJAR is a user interface, features, service, notification, and simplicity.