Learning Outcomes Measurement on Image Processing Subject using Self Organizing Map based Fuzzy Logic
- DOI
- 10.2991/978-94-6463-100-5_31How to use a DOI?
- Keywords
- learning outcomes measurement; image processing subject; fuzzy logic
- Abstract
Outcome-based Education (OBE)-based learning has been implemented to improve the quality of education. One of the important things is to measure the achievement of PLO. The aim of this study is proposed an alternative method of measuring PLO which is measurement carry out used Self Organizing Map (SOM) based on Fuzzy Logic. The parameters used in SOM are the number of epochs of 500, and the learning rate of 0.5. The implemented fuzzy logic uses a centroid fuzzification parameter with a membership function triangle and fuzzy bisector fuzzification parameter with gaussian membership function. The experimental results show that measurements using a Fuzzy Logic-based Self Organizing Map (SOM) can be used but must go through a simulation process first. This is because the selection of fuzzy and rules-based parameters that are implemented greatly affects the final result.
- Copyright
- © 2022 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Lilik Anifah AU - Unit Three Kartini AU - Edy Sulistyo AU - Haryanto PY - 2022 DA - 2022/12/27 TI - Learning Outcomes Measurement on Image Processing Subject using Self Organizing Map based Fuzzy Logic BT - Proceedings of the International Joint Conference on Science and Engineering 2022 (IJCSE 2022) PB - Atlantis Press SP - 303 EP - 314 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-100-5_31 DO - 10.2991/978-94-6463-100-5_31 ID - Anifah2022 ER -