Gambaran Sikap terhadap ChatGPT pada Mahasiswa Teknik Industri Universitas Sumatera Utara

Abstract

This study aims to examine the attitudes toward the ChatGPT, application among Industrial Engineering students at the University of North Sumatra. The research involved 293 respondents and utilized a descriptive research method with a quantitative approach. Data were collected using an attitude scale developed based on Azwar's (2022) attitude theory, consisting of 27 items. The data were analyzed using descriptive statistical analysis (mean, standard deviation, minimum score, and maximum score). The results indicated that 142 respondents (48.46%) had a positive attitude toward ChatGPT, 151 respondents (51.54 %) had a negative attitude, and 0 respondents displayed a neutral attitude.