@inproceedings{4f3b39d2dce9488f94a8fb28bdd52966,
title = "Estimation Length of Study Period Using A Fuzzy Logic Model",
abstract = "Education is an essential part of forming quality and dignified human resources. Forming an intelligent and quality young generation is one of the roles of universities as one of the formal education providers. They are obliged to develop the best curriculum and encourage students to have competencies according to the chosen study program and graduate on time. However, there are many cases where not all students graduate on time and even drop out of school. The purpose of this research is to build a fuzzy logic model that can estimate the length of the study period so that universities can take preventive action against students who have the possibility of not graduating or dropping out or do not graduate on time. The contribution of this research is to build a model to estimate student learning time using a simplified fuzzy logic model. This simplified fuzzy logic model was proven to be able to estimate the length of learning. Initially, it consisted of 23 rules with an error rate of 11\% and simplified to ten rules with 10.59\%.",
keywords = "Estimation, Fuzzy Logic, Length of Study Period",
author = "Sartana, \{Bruri Trya\} and Yuhana, \{Umi Laili\} and Nugroho, \{Supeno Mardi Susiki\} and Purnomo, \{Mauridhi Hery\}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 7th IEEE Information Technology International Seminar, ITIS 2021 ; Conference date: 06-10-2021 Through 08-10-2021",
year = "2021",
doi = "10.1109/ITIS53497.2021.9791694",
language = "English",
series = "Proceedings - 2021 IEEE 7th Information Technology International Seminar, ITIS 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings - 2021 IEEE 7th Information Technology International Seminar, ITIS 2021",
address = "United States",
}