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Harry Budi Santoso
Fakultas Ilmu Komputer Universitas Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Immunology & microbiology Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering

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Journal : Jurnal ICT : Information Communication

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E-Learning Usability Evaluation Menggunakan Fuzzy Logic dan Usulan Alternatif Desain Interaktif Learning Management System (LMS) Chamilo Arif Rinaldi Dikananda; Harry Budi Santoso; Raditya Danar Dana; Dadang Sudrajat
Jurnal ICT : Information Communication & Technology Vol 18, No 1 (2019): JICT-IKMI, Juli 2019
Publisher : STMIK IKMI Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36054/jict-ikmi.v18i1.56

Abstract

E-Learning as well as learning media in general needs to be evaluated to find out and measure how much effectiveness, efficiency and user satisfaction is for the quality of the overall learning process. One effort that can be done to find out and evaluate the quality of learning is to use usability evaluation. Usability measurements require data derived from questionnaires presented using a Likert scale. The data illustrates the perceptions of users who have uncertainties because they are very subjective so they have the potential to cause misinterpretations. Fuzzy logic can be used to evaluate e-Learning reusability because fuzzy logic has the advantage of resolving a problem that contains uncertainty / ambiguity, which in this case is in accordance with the context of usability problems that are often presented in natural languages that have uncertainties, such as "how effective? "," How efficient? "And" how much user satisfaction. By using the Mamdani model Fuzzy Inference an increase in system usability with a score of 3.06 with a membership level of 0.9961 in the Moderate Usability stack. With the application of fuzzy variables and fuzzy rules, the process of evaluating system usability can be done with natural language that is easier to understand.
Co-Authors Amran Suatkab Amrisandha Pranantya Prasetyo Arif Rinaldi Dikananda Arminditya Fajri Akbar Choirul Anam Dadang Sudrajat Darmin Karim ENDANG SUTARININGSIH Kasiyah Junus Martin Schrepp Mhd. Adhitiya Okta Riyandi Mochammad Aldi Kushendriawan Nurhaedah M Oenardi Lawanto Panca Hadi Putra Panca O. Hadi Putra Panca O. Hadi Putra Panca Oktavia Hadi Putra Panca Oktavia Hadi Putra Paramartha, Putu Agya Putra, Panca Hadi Putu Agya Paramartha Raditya Danar Dana Ratu Syafianisa Nuzulismah RENITA YULIANA Rio Afirando Ronny Faslah Ronny Faslah, Ronny Satrio Bhaskoro Yudhoatmojo SEPTIANTINA DYAH RIENDRASARI Sujono - Sujono Sujono Vederico Pitsalitz Sabandar Wahyudi lsnan