TY - GEN
T1 - Modelling Usage M-Learning using Mamdani Fuzzy Logic System in along Covid-19 Pandemic at ITS - Indonesia
AU - Arifin, Syamsul
AU - Aisjah, Aulia Siti
AU - Suharsono, Ferina Putri
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Fuzzy logic system (FLS) of Mamdani is a method that has the ability to reason similar to human abilities. In this paper is conduct the modelling of usage m-learning. The model systems is able to measure qualitative categories in modeling the usage of mobile-learning during the Covid-19 pandemic. Fuzzy logic system model for 'perceptions of student behavior in usage m-learning', with 4 variables, i.e. (i) Teacher Readiness-TR, (ii) Student Readiness - SR, (iii) Subjective Norms - NS, and (iv) Intention Behavioral - IB. The four variables are indicators that stated in the question instrument. The fourth variables is input modelling system. Each instrument with a grading answered, i.e.: strongly disagree (SA), disagree (D), neutral (N), agree (A), and strongly agree (SA). The model is structured into two subsystems. Output of sub-system 1 is TR, SR, NS and IB variables, and output of sub-system 2 is 'Behavior of Usage m-learning (UB)'. Model system is design in 3 scenarios, to choose the best one. The difference of each scenarios is in the interval variations and number of membership functions of fuzzy logic system. The SLF model was tested on 546 respondents. The fuzzy model in 3 scenarios shows the Mean of Average Percentage error (MAPE) value in the range of 5 - 50%, while the test results using SEM (Structural Equation Modelling) software show the MAPE value is 12%.
AB - Fuzzy logic system (FLS) of Mamdani is a method that has the ability to reason similar to human abilities. In this paper is conduct the modelling of usage m-learning. The model systems is able to measure qualitative categories in modeling the usage of mobile-learning during the Covid-19 pandemic. Fuzzy logic system model for 'perceptions of student behavior in usage m-learning', with 4 variables, i.e. (i) Teacher Readiness-TR, (ii) Student Readiness - SR, (iii) Subjective Norms - NS, and (iv) Intention Behavioral - IB. The four variables are indicators that stated in the question instrument. The fourth variables is input modelling system. Each instrument with a grading answered, i.e.: strongly disagree (SA), disagree (D), neutral (N), agree (A), and strongly agree (SA). The model is structured into two subsystems. Output of sub-system 1 is TR, SR, NS and IB variables, and output of sub-system 2 is 'Behavior of Usage m-learning (UB)'. Model system is design in 3 scenarios, to choose the best one. The difference of each scenarios is in the interval variations and number of membership functions of fuzzy logic system. The SLF model was tested on 546 respondents. The fuzzy model in 3 scenarios shows the Mean of Average Percentage error (MAPE) value in the range of 5 - 50%, while the test results using SEM (Structural Equation Modelling) software show the MAPE value is 12%.
KW - Covid-19
KW - Fuzzy Mamdani
KW - Intention behavior
KW - Peer student readiness
KW - SEM
KW - Teacher readiness
KW - Usage m-learning
UR - http://www.scopus.com/inward/record.url?scp=85123317718&partnerID=8YFLogxK
U2 - 10.1109/ICTS52701.2021.9609079
DO - 10.1109/ICTS52701.2021.9609079
M3 - Conference contribution
AN - SCOPUS:85123317718
T3 - Proceedings of 2021 13th International Conference on Information and Communication Technology and System, ICTS 2021
SP - 190
EP - 194
BT - Proceedings of 2021 13th International Conference on Information and Communication Technology and System, ICTS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Conference on Information and Communication Technology and System, ICTS 2021
Y2 - 20 October 2021 through 21 October 2021
ER -