Proceedings of the International Conference on Science and Technology (ICST 2018)

Optimization of Student Interest Selection Using Artificial Neural Network and Rete Network

Authors
M. Syahrul Munir, Eva Y Puspaningrum, Dimas Eko Wicaksono
Corresponding Author
M. Syahrul Munir
Available Online December 2018.
DOI
https://doi.org/10.2991/icst-18.2018.4How to use a DOI?
Keywords
expert system; intelligence test; field study recommendation; IST (Intelligence Structure Test); forward chaining; rete network
Abstract
The need for a prospective student to know the interest of the field of study at the college according to his intelligence becomes one of the complex problems. The selection of the right field of study makes the prospective students more enthusiastic to attend college and graduate on time. Therefore an intellectual intelligence test needs to be tested to prospective students with the aim of helping to plan and make decisions about a choice within a college. Through the test, obtained the level of readiness of prospective students to choose a field of study by the level of intelligence it has and minimizes errors in the selection of majors. This study aims to build an expert system application that provides recommendations in the field of study by the results of intellectual intelligence tests offered. The decision-making process of intelligence is based on the theory of IST (Intelligence Structure Test). This application uses forward chaining method optimized with Rete Network in decision-making based on the results of the intelligence test.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the International Conference on Science and Technology (ICST 2018)
Series
Atlantis Highlights in Engineering
Publication Date
December 2018
ISBN
978-94-6252-650-1
ISSN
2589-4943
DOI
https://doi.org/10.2991/icst-18.2018.4How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - M. Syahrul Munir
AU  - Eva Y Puspaningrum
AU  - Dimas Eko Wicaksono
PY  - 2018/12
DA  - 2018/12
TI  - Optimization of Student Interest Selection Using Artificial Neural Network and Rete Network
BT  - Proceedings of the International Conference on Science and Technology (ICST 2018)
PB  - Atlantis Press
SP  - 14
EP  - 18
SN  - 2589-4943
UR  - https://doi.org/10.2991/icst-18.2018.4
DO  - https://doi.org/10.2991/icst-18.2018.4
ID  - Munir2018/12
ER  -