Open AccessApplication of Technology Acceptance Model to E-learning Assessment (Kelase) in Agricultural Technology Education, UniversitasNegeri Makassar
Author(s) -
Andi Sukainah,
P Reski,
Ratnawaty Fadilah,
Amirah Mustarin
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1387/1/012115
Subject(s) - usability , technology acceptance model , likert scale , variables , psychology , scale (ratio) , external variable , statistics , regression analysis , ibm , applied psychology , reliability (semiconductor) , computer science , mathematics , geography , human–computer interaction , power (physics) , materials science , physics , cartography , quantum mechanics , nanotechnology , programming language
Kelase is an E-learning program that has been applied in the Agricultural Technology Education (PTP), especially in the Toxicology and Food Safety courses. This study aims to analyze application and acceptance of PTP students to Kelase, as well as variable correlation and linearity used in the Technology Accepted Model (TAM) method. The independent variables in this study consisted of variables perceived ease of use and perceived usefulness, while the observation variable was acceptance. Techniques for collecting data through giving questionnaires. The questionnaire instrument was tested for its validity and reliability. Data measurement scale uses Likert scale. Data processing uses IBM SPSS 20.0 software. The results show that level of perception of PTP student admissions is very high, which is between 70.1-91%. The correlation of TAM variable is significant and positive. Both variables, perceived ease of use (X1) and perceived usefulness (X2), are very influential on acceptance (Y) and both of these variables simultaneously influence the level of student acceptance of Kelase. The regression determination coefficient is generated, which is 52%. These results indicate that the influence of variables perceived ease of use (X1) and perceived usefulness (X2) is only 52%, and the rest, which is 48% influenced by other variables.