Ashari, Muhamad Taufiqurrahman (2021) Pemodelan Logika Fuzzy Tsukamoto Dalam Penggunaan M-Learning Berdasarkan Kemampuan Diri Mahasiswa Selama Pandemi Covid-19: Studi Kasus-Teknik Fisika ITS Surabaya. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
![[thumbnail of 02311740000120-Undergraduate_Thesis.pdf]](http://repository.its.ac.id/style/images/fileicons/text.png) |
Text
02311740000120-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only until 1 October 2023. Download (4MB) | Request a copy |
Abstract
Adanya pandemi covid-19 menyebabkan sistem pembelajaran perkuliahan
tatap muka menjadi sistem pembelajaran jarak jauh. Oleh karena itu, peran
teknologi menjadi solusi dalam menghadapi tantangan baru ini. Teknologi mobile
learning (MyITSClassroom) hadir dalam membantu Mahasiswa Departemen
Teknik Fisika selama pembelajaran perkuliahan dari rumah. Penelitian yang
menekankan perilaku keberterimaan penggunaan m-learning masih sedikit. Oleh
karena itu dalam penelitian ini dilakukan perancangan model perilaku penggunaan
m-learning dengan sistem logika fuzzy dan menentukan hasil dari model tersebut.
Tahapan dalam melakukan penelitian dimulai dengan identifikasi masalah, studi
literatur, pembuatan kuesioner, uji validitas dan reabilitas kuesioner, pengambilan
data dengan survei kuesioner yang disebarkan, uji normalitas data, pemodelan
fuzzy, pemrograman fuzzy, uji performansi fuzzy, analisa data, dan penyusunan
laporan Tugas Akhir. Terdapat dua model fuzzy untuk perilaku penggunaan mlearning. Hasil terbaik diperoleh pada model fuzzy kedua dengan menggunakan
dua fungsi keanggotaan segitiga dan sigmoid. Hal ini ditinjau berdasarkan nilai
MAPE nya masing-masing sebesar 8,39% dan 6,80%.
====================================================================================================
The Covid-19 pandemic has caused the face-to-face learning system to
become an online learning system. Mobile learning technology (MyITSClassroom)
is here to help Physics Engineering Department students during their online
learning. There was still few research on the acceptance behavior of using mlearning. Therefore, in this study, a behavioral model of using m-learning was
designed with fuzzy logic system and determined the results of the model. The stages
in conducting the questionnaire begin with knowing the problem, studying
literature, making questionnaires, validity and reliability test, collecting data,
normality test, fuzzy modeling, programming of fuzzy, fuzzy performance testing,
data analysis, and reporting. The best results are obtained in the second fuzzy
model using two triangular and sigmoid membership functions. This is reviewed
based on the MAPE result which is equal to 8.39% and 6.80%
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Mobile Learning, Sistem Logika Fuzzy, MyITSClassroom, Mobile Learning, Fuzzy Logic System, MyITSClassroom |
| Subjects: | T Technology > T Technology (General) T Technology > T Technology (General) > T174 Technological forecasting T Technology > T Technology (General) > T58.5 Information technology. IT--Auditing T Technology > T Technology (General) > T58.62 Decision support systems |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Muhamad Taufiqurrahman Ashari |
| Date Deposited: | 23 Aug 2021 04:22 |
| Last Modified: | 23 Aug 2021 04:22 |
| URI: | http://repository.its.ac.id/id/eprint/88815 |
Actions (login required)
 |
View Item |