Pemodelan Sistem Logika Fuzzy Tipe-2 Untuk Penentuan Perilaku Penggunaan M-Learning Berdasarkan Variabel Persepsi Kemampuan Diri Dan Kondisi Fasilitas Pencahayaan Ruangan

Belva, Ersakanti (2022) Pemodelan Sistem Logika Fuzzy Tipe-2 Untuk Penentuan Perilaku Penggunaan M-Learning Berdasarkan Variabel Persepsi Kemampuan Diri Dan Kondisi Fasilitas Pencahayaan Ruangan. Other thesis, Institut Teknologi Sepuluh Nopember.

Text 02311840000013-Undergraduate_Thesis.pdf - Accepted Version Download (3MB)

Abstract

Pandemi COVID-19 yang terjadi di Indonesia menyebabkan jumlah penduduk yang memiliki akses penggunaan internet mengalami peningkatan, termasuk dalam penggunaan di bidang pendidikan. Mobile learning merupakan salah satu sistem pembelajaran daring yang memungkinkan para pelajar untuk mengakses materi pembelajaran kapan saja dan dimana saja tanpa mengenal waktu dan tempat. Adapun model khusus yang digunakan dalam Penentuan Perilaku Penggunaan Mobile Learning yakni m-AUBML dengan beberapa variabel penentu seperti Persepsi Kemampuan Diri dan Kondisi Fasilitas. Penelitian dilakukan dengan metode survei menggunakan instrumen kuisioner dengan menyertakan faktor pencahayaan ruangan sebagai instrumen tambahan. Data yang digunakan sebanyak 266 mahasiswa aktif Teknik Fisika ITS. Perancangan model sistem logika fuzzy tipe-2 dibandingan menggunakan nilai Mean Average Percentage Error (MAPE) dari 4 skenario fungsi keanggotaan. Hasil penelitian menunjukkan bahwa mahasiswa Teknik Fisika ITS sangat setuju terhadap Perilaku Penggunaan Mobile Learning dengan model akhir menggunakan skenario fungsi keanggotaan segitiga dan skenario fungsi keanggotaan trapesium sehingga MAPE terbaik yang didapatkan sebesar 4.76% dimana model perancangan memiliki akurasi yang sangat baik.
===================================================================================================================================
COVID-19 pandemic has caused the number of people who have access to internet usage to increase, including in the education field. Mobile learning is an online system that allows students to access learning materials anytime and anywhere. The model used in determining the behavior of using mobile learning is m-AUBML with several variables such as Self Efficacy and Facilitation Conditions. The research was conducted using a questionnaire by including room lighting as an additional instrument. The data used were 266 active ITS Physics Engineering students. The design of the type-2 fuzzy logic system model is compared using the Mean Average Percentage Error (MAPE) with 4 membership function scenarios. The results showed that ITS Physics Engineering students strongly agreed with the Usage Behavior Mobile Learning with the final model using triangle and trapezoid membership function scenario so that the best MAPE obtained was 4.76%, where the design model had very good accuracy.

Item Type:	Thesis (Other)
Additional Information:	RSF 621.71 Bel p-1 2022
Uncontrolled Keywords:	MAPE, Mobile Learning, Sistem Logika Fuzzy Tipe-2, Type-2 Fuzzy Logic System
Subjects:	H Social Sciences > HB Economic Theory > HB801 Consumer behavior. Q Science > QA Mathematics > QA9.64 Fuzzy logic
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	- Davi Wah
Date Deposited:	12 Dec 2024 07:57
Last Modified:	12 Dec 2024 07:57
URI:	http://repository.its.ac.id/id/eprint/115754

Actions (login required)

View Item