International Journal of Advanced and Applied Sciences
Int. j. adv. appl. sci.
EISSN: 2313-3724
Print ISSN: 2313-626X
Volume 4, Issue 4 (April 2017), Pages: 159-163
Title: Implementation of fuzzy logic-based final year project student-supervisor matching system
Author(s): Mohd Fuad Abdul Latip, Mohd Khairul Anuar Mat Udin, Muhammad Murtadha Othman, Ihsan Mohd Yassin *, Zairi Ismael Rizman, Norliza Zaini, Muhammad Nabil Hidayat, Norziana Aminuddin, Sukreen Hana Herman, Hasnida Saad, Muhammad Hezri Fazalul Rahiman, Ramli Adnan
Affiliation(s):
Faculty of Electrical Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
https://doi.org/10.21833/ijaas.2017.04.023
Abstract:
Final Year Projects (FYP) is the pinnacle to test the practical and research skills of undergraduate students before they enter the workforce. With the increased government demand requiring students to graduate on time, it is important that students’ skills and interests are matched to topics and supervisors with similar research interests to improve their chances of graduating on time. In response to the issue above, this paper presents the development of a Final Year Project (FYP) matching system using Fuzzy Logic (FL). The system gathers two types of information: 1) Student skills and interest (entered by the student during registration), 2) Available research areas in the Faculty and the skills required to do them (collected from interviews with lecturers specializing in the discipline). Based on the information gathered, a FL-based system matches the students to their best research areas. Results indicate that the system can match student’s skills with research topics well with potential to be adopted on a wider scale in Universiti Teknologi MARA (UiTM).
© 2017 The Authors. Published by IASE.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Final year project, Fuzzy logic, Skills matching
Article History: Received 5 November 2016, Received in revised form 12 January 2017, Accepted 12 January 2017
Digital Object Identifier:
https://doi.org/10.21833/ijaas.2017.04.023
Citation:
Latip MFA, Udin MKAM, Othman MM, Yassin IM, Rizman ZIR, Zaini N, Hidayat MN, Aminuddin N, Herman SH, Saad H, Rahiman MHF, and Adnan R (2017). Implementation of fuzzy logic-based final year project student-supervisor matching system. International Journal of Advanced and Applied Sciences, 4(4): 159-163
http://www.science-gate.com/IJAAS/V4I4/Latip.html
References:
Bakar BA, Isa NM, Sani MM, and Shahbudin S (2015). E-supervision system for undergraduates final year project. In the IEEE 7th International Conference on Engineering Education (ICEED), IEEE, Kanazawa, Japan: 155-159. https://doi.org/10.1109/iceed.2015.7451511 |
||||
EAC (2012). Engineering programme accreditation manual. Engineering Accreditation Council, Selangor, Malaysia. Available online at: http://www.eac.org.my/web/document/EACManual2012.pdf | ||||
Hasan MH, Sahari KM, and Anuar A (2009). Implementation of a new preference based final year project title selection system for undergraduate engineering students in UNITEN. In the International Conference on Engineering Education (ICEED), IEEE, Kuala Lumpur, Malaysia: 230-235. https://doi.org/10.1109/iceed.2009.5490578 |
||||
Jawitz JEFF, Shay SUELLEN, and Moore R (2002). Management and assessment of final year projects in engineering. International Journal of Engineering Education, 18(4), 472-478. | ||||
Mcdermott KJ (2006). Enhancing final year project work in engineering programmes. Global Journal of Engineering Education, 10(2): 181-189. | ||||
McLoone S and O'Neill N (2006). Can fuzzy logic remove subjectivity from final year project assessment?. In the IET Irish Signals and Systems Conference, IET: 67-72. | ||||
Mutholib A, Gunawan TS, and Kartiwi M (2011). Development of FYP online system for outcome based education. In the IEEE Region 10 Conference, IEEE, Bali, Indonesia: 1312-1316. https://doi.org/10.1109/tencon.2011.6129020 |
||||
Srinivasan D and Rachmawati L (2008). Efficient fuzzy evolutionary algorithm-based approach for solving the student project allocation problem. IEEE Transactions on Education, 51 (4): 439-447. https://doi.org/10.1109/TE.2007.912537 |