Implementation of Fuzzy Tsukamoto Method In Decision Support System Of Journal Acceptance Eki Nugraha (a), Aji Prasetya Wibawa (b), M. Luqman Hakim (b), Umi Kholifah (b), Roshina Hila Dini (b), M. Rizki Irwanto (b)
a) Universitas Pendidikan Indonesia, Jl.Dr. Setiabudhi 229, Bandung 40154, Indonesia
b) Universitas Negeri Malang, Jl.Semarang 5, Malang 65145, Indonesia
Abstract
Journal acceptance is a difficult problem to solve since in the practice it involves some reviewers who can produce different decisions from various perspectives. Therefore, a decision support system is needed to assist the reviewers to decide the acceptance of the paper. This study was purposed to develop the decision support system using the Fuzzy Tsukamoto method for journal acceptance. The Fuzzy Tsukamoto method described the relationship between input and output of the system by using a set of fuzzy if-then rules. From the comparison results, it was obtained that an accuracy was 100%. The accuracy of such calculation indicated that the decision support system of the journal acceptance was accurate. It was found that the percentages of errors were 3% between the results of system comparison and experts and 0% between the system and manual calculation. The low errors of the calculation indicated that DSS of journal acceptance had high precision.
Keywords: Decision Support System; Fuzzy Tsukamoto; Paper Acceptance
