USING OF ARTIFICIAL INTELLIGENCE ChatGPT AMONG HEALTH DEPARTMENT STUDENTS IN INDONESIA: A DESCRIPTIVE SURVEY STUDY

  • Susaldi Susaldi University of Indonesia Maju Jakarta
  • Ruris Haristiani University of Jember
  • Nur Al Marwah Asrul Alaudin State Islamic University, Makassar
  • Wa Ode Sri Asnaniar Indonesian Muslim University, Makassar
  • Agus Purnama

Abstract

Introduction: ChatGPT is a model machine learning created by OpenAI with the aim of autogenerating text. This model is designed to respond to questions or requests for information by generating relevant answers. ChatGPT is trained using very large text data, so it has the ability to produce a variety of responses. Aims: This study aims to describe the use of ChatGPT among students majoring in health at various universities in Indonesia.Method: The research method used is a descriptive study with a sample of 236 students. Result: (1) The age of the respondents is between 17-26 years: 31 male students (13.14%), 223 female students(86.86%), the most majors health is Nursing study program with 138 students (58.5%) ; (2) of the total sample, 122 respondents (51.7%) stated that they had never received information about ChatGPT, and 114 (48.3%) knew about this model; (3) 175 (74.2%) respondents have never used ChatGPT and 61 respondents (25.8%) have used it; (4) Intensity of use: 37 respondents (60.66%) used it several times a week, 13 (21.31%) used it several times a month, 9 (14.75%) use it every day and 2 (3.28%) were rarely use; (5) The use of ChatGPT were to find various information and to do college assignments; (6) 100% of respondents who have used ChatGPT stated that this model could replace Google Search Engine in presenting various information. Keyword: ChatGPT, Health Student.

Published
2023-06-17
How to Cite
SUSALDI, Susaldi et al. USING OF ARTIFICIAL INTELLIGENCE ChatGPT AMONG HEALTH DEPARTMENT STUDENTS IN INDONESIA: A DESCRIPTIVE SURVEY STUDY. UNEJ e-Proceeding, [S.l.], p. 423, june 2023. Available at: <https://jurnal.unej.ac.id/index.php/prosiding/article/view/40276>. Date accessed: 17 june 2024.