Sistem Kelayakan Borang Akreditasi Program Studi Menggunakan Fuzzy Inference System

The Board of National Accreditation Body for Higher Education) evaluates the performance of a study program. This compels it to improve and maintain its performance. The process of accreditation involves several steps, one of which is the completion of accreditation documents by the study program. The completion requires data from various sources, both from the study program and the institution. However, the data required are often not recorded properly and kept by different sources. As a result, it takes longer time to complete the arrangement. Moreover, inconsistent data format becomes another factor which holds back this process. The application of fuzzy inference system, as used by Kesatuan Business and Informatics Institute, as in the above case can result in a better scoring in which each component is assessed and it will yield the prediction of the expected accreditation status before it is submitted to BAN-PT. This research aims to develop a web based accreditation system with fuzzy inference system and construct a prediction of score ad accreditation status in IBI Kesatuan, using 4 variables of input assessment criteria, namely: external condition, institutional profile, criteria and analysis, and development program decision. The resulting output is the status of non- accredited, good accredited, excellent accredited, and superior accredited. There are 4 phases in the methods: problem identification, needs and system analysis, system design, system implementation and testing system. The result of blackbox test show that 8 features can operate well. The features consist of criteria menu, indicator menu, date user, LKPS data, LED data, LKPS and LED assessment input, recapitulation and conclusion. Based on the results of the study, it can be concluded that accreditation system can be applied to predict the scores and accreditation status of information system study program of IBI Kesatuan.   Keywords: accreditation, fuzzy inference syste

Mathematical Fuzzy Logic in the Emerging Fields of Engineering, Finance, and Computer Sciences

Mathematical fuzzy logic (MFL) specifically targets many-valued logic and has significantly contributed to the logical foundations of fuzzy set theory (FST). It explores the computational and philosophical rationale behind the uncertainty due to imprecision in the backdrop of traditional mathematical logic. Since uncertainty is present in almost every real-world application, it is essential to develop novel approaches and tools for efficient processing. This book is the collection of the publications in the Special Issue “Mathematical Fuzzy Logic in the Emerging Fields of Engineering, Finance, and Computer Sciences”, which aims to cover theoretical and practical aspects of MFL and FST. Specifically, this book addresses several problems, such as:- Industrial optimization problems- Multi-criteria decision-making- Financial forecasting problems- Image processing- Educational data mining- Explainable artificial intelligence, etc

International Conference on Mathematical Analysis and Applications in Science and Engineering – Book of Extended Abstracts

The present volume on Mathematical Analysis and Applications in Science and Engineering - Book of Extended Abstracts of the ICMASC’2022 collects the extended abstracts of the talks presented at the International Conference on Mathematical Analysis and Applications in Science and Engineering – ICMA2SC'22 that took place at the beautiful city of Porto, Portugal, in June 27th-June 29th 2022 (3 days). Its aim was to bring together researchers in every discipline of applied mathematics, science, engineering, industry, and technology, to discuss the development of new mathematical models, theories, and applications that contribute to the advancement of scientific knowledge and practice. Authors proposed research in topics including partial and ordinary differential equations, integer and fractional order equations, linear algebra, numerical analysis, operations research, discrete mathematics, optimization, control, probability, computational mathematics, amongst others. The conference was designed to maximize the involvement of all participants and will present the state-of- the-art research and the latest achievements.info:eu-repo/semantics/publishedVersio