The design of expert system to determine the university majoring based on multiple intelligence using forward chaining method
DOI:
https://doi.org/10.58712/jerel.v1i1.6Keywords:
expert systems, artificial intelligence, multiple intelligences, university, choice methodAbstract
An expert system is one of artificial intelligence that uses a computer to work like and as well as humans do. An expert system is a computer system that is designed so that it has the ability and reasoning like an expert. But, the expert system is not used for replacing an expert who in this problem im a psychologist as a consultant for students want to recognize the potential and their abilities. The expert system is only used as equipment and limited tools. There is a problem is how to design tools to help students recognize their potential and abilities, so that they can choose the right department in the University based on their potential and abilities. Expert system design for assign department in the University based Multiple Intelligence use visual basic programming language and Microsoft Office Access as database.
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References
Al Fatta, H. (2007). Analisis dan Perancangan Sistem Informasi. Andi Offset.
Collins, G. W., & Knoetze, J. G. (2014). Information communication technology in the form of an expert system shell as a cognitive tool to facilitate higher-order thinking. Australasian Journal of Educational Technology, 30(4), 455–471. https://doi.org/10.14742/ajet.v30i4.189
Hayadi, B. H., Bastian, A., Rukun, K., Jalinus, N., Lizar, Y., & Guci, A. (2018). Expert System in the Application of Learning Models with Forward Chaining Method. 7, 845–848.
Hayadi, B. H., Rukun, K., Wulansari, R. E., & Herawan, T. (2017). Expert System of Quail Disease Diagnosis Using Forward Chaining Method. 5(1), 207–214. https://doi.org/10.11591/ijeecs.v5.i1.pp
Hung, Y. H., Lin, C. F., & Chang, R. I. (2015). Developing a dynamic inference expert system to support individual learning at work. British Journal of Educational Technology, 46(6), 1378–1391. https://doi.org/10.1111/bjet.12214
Lin, C. C., Guo, K. H., & Lin, Y. C. (2016). A simple and effective remedial learning system with a fuzzy expert system. Journal of Computer Assisted Learning, 32(6), 647–662. https://doi.org/10.1111/jcal.12160
Rahimova Ali, N., & Abdullayev Hacimahmud, V. (2020). Methodology of expert system building. Technium: Romanian Journal of Applied Sciences and Technology, 2(3), 140–146. https://doi.org/10.47577/technium.v2i3.583
Ró?ewski, P., Kieruzel, M., Lipczy?ski, T., Prys, M., Sicilia, M. A., García-Barriocanal, E., Sánchez-Alonso, S., Hamill, C., Royo, C., & Uras, F. (2019). Concept of expert system for creation of personalized, digital skills learning pathway. Procedia Computer Science, 159, 2304–2312. https://doi.org/10.1016/j.procs.2019.09.405
Sánchez, L. E., Santos-Olmo, A., Álvarez, E., Huerta, M., Camacho, S., & Fernández-Medina, E. (2016). Development of an expert system for the evaluation of students’ curricula on the basis of competencies. Future Internet, 8(2), 1–18. https://doi.org/10.3390/fi8020022
van Hecke, T. (2011). Fuzzy expert system to characterize students. Primus, 21(7), 651–658. https://doi.org/10.1080/10511971003688416
Wulansari, R. E., Sakti, R. H., Ambiyar, A., Giatman, M., Syah, N., & Wakhinuddin, W. (2022). Expert System For Career Early Determination Based On Howard Gardner’s Multiple Intelligence. Journal of Applied Engineering and Technological Science (JAETS), 3(2), 67–76.
