The expert system design to identify laptop damage by applying certainty factor method

https://doi.org/10.21744/irjeis.v7n4.1898

Authors

  • Luh Gede Astuti Informatics Department, Udayana University, Denpasar, Indonesia
  • Gede Aditya Mahardika Pratama Informatics Department, Udayana University, Denpasar, Indonesia

Keywords:

black box, certainty factor, expert system, laptop damage

Abstract

The development of information technology nowadays is very useful in solving problems in an activity process. One of the existing technological developments is the emergence of portable computers in the form of laptops. The problem of laptop damage is the most common case, so good knowledge of laptops is needed to anticipate laptop damage. Applications that can help deal with the problem of damage to the laptop is the Expert System. An expert system is a system that seeks to adopt human knowledge to computers, in order to solve problems as  usually done by experts. In overcoming uncertainty in an expert system, the Certainty Factor (CF) method is applied. Certainty Factor (Uncertainty Factor) is a method that expresses belief in an event (fact or hypothesis) based on evidence or expert judgment. This study develops an expert system to identify laptop damage with a certainty factor in the form of a web-based application. Blackbox is used as a system test and gives results that the developed expert system  can function properly and has been running according to its functionality.

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References

Aji, A. H., Furqon, M. T., & Widodo, A. W. (2017). Sistem Pakar Diagnosa Penyakit Ibu Hamil Menggunakan Metode Certainty Factor (CF). Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, ISSN, 2(5), 27-36.

Azareh, A., Rahmati, O., Rafiei-Sardooi, E., Sankey, J. B., Lee, S., Shahabi, H., & Ahmad, B. B. (2019). Modelling gully-erosion susceptibility in a semi-arid region, Iran: Investigation of applicability of certainty factor and maximum entropy models. Science of the Total Environment, 655, 684-696. https://doi.org/10.1016/j.scitotenv.2018.11.235

Ebersbach, S., & Peng, Z. (2008). Expert system development for vibration analysis in machine condition monitoring. Expert systems with applications, 34(1), 291-299. https://doi.org/10.1016/j.eswa.2006.09.029

Fanny, R. R., Hasibuan, N. A., & Buulolo, E. (2017). Perancangan Sistem Pakar Diagnosa Penyakit Asidosis Tubulus Renalis Menggunakan Metode Certainty Factor Dengan Penulusuran Forward Chaining. Jurnal Media Informatika Budidarma, 1(1).

González-Andújar, J. L. (2009). Expert system for pests, diseases and weeds identification in olive crops. Expert Systems with Applications, 36(2), 3278-3283. https://doi.org/10.1016/j.eswa.2008.01.007

Hasibuan, N. A., Sunandar, H., Alas, S., & Suginam, S. (2017). Sistem Pakar Mendiagnosa Penyakit Kaki Gajah Menggunakan Metode Certainty Factor. Jurasik (Jurnal Riset Sistem Informasi Dan Teknik Informatika), 2(1), 29-39.

Kadefors, A. (2004). Trust in project relationships—inside the black box. International Journal of project management, 22(3), 175-182. https://doi.org/10.1016/S0263-7863(03)00031-0

Liao, S. H. (2005). Expert system methodologies and applications—a decade review from 1995 to 2004. Expert systems with applications, 28(1), 93-103. https://doi.org/10.1016/j.eswa.2004.08.003

Lucas, P. J. (2001). Certainty-factor-like structures in Bayesian belief networks. Knowledge-based systems, 14(7), 327-335. https://doi.org/10.1016/S0950-7051(00)00073-3

Mahoney, J. J., & Mooney, R. J. (1994). Comparing methods for refining certainty-factor rule-bases. In Machine Learning Proceedings 1994 (pp. 173-180). Morgan Kaufmann. https://doi.org/10.1016/B978-1-55860-335-6.50029-5

Olden, J. D., & Jackson, D. A. (2002). Illuminating the “black box”: a randomization approach for understanding variable contributions in artificial neural networks. Ecological modelling, 154(1-2), 135-150. https://doi.org/10.1016/S0304-3800(02)00064-9

Rahman, H. A. (2020). Sistem Pakar dalam Mendeteksi Kerusakan Laptop dengan Metode Case Based Reasoning. Jurnal Sistim Informasi dan Teknologi, 71-76.

Santi, I. H., & Andari, B. (2019). Sistem pakar untuk mengidentifikasi jenis kulit wajah dengan metode certainty factor. INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi, 3(2), 159-177.

Singh, S. (2017). Multi-factor authentication and their approaches. International Research Journal of Management, IT and Social Sciences, 4(3), 68-81.

Sulistyohati, A., & Hidayat, T. (2008). Aplikasi sistem pakar diagnosa penyakit ginjal dengan metode DEMPSTER-SHAFER. In Seminar Nasional Aplikasi Teknologi Informasi (SNATI) (Vol. 1, No. 1).

Wang, J., Zhu, S., Luo, X., Chen, G., Xu, Z., Liu, X., & Li, Y. (2020). Refined micro-scale geological disaster susceptibility evaluation based on UAV tilt photography data and weighted certainty factor method in Mountainous Area. Ecotoxicology and environmental safety, 189, 110005. https://doi.org/10.1016/j.ecoenv.2019.110005

Wood, T., Shenoy, P., Venkataramani, A., & Yousif, M. (2009). Sandpiper: Black-box and gray-box resource management for virtual machines. Computer Networks, 53(17), 2923-2938. https://doi.org/10.1016/j.comnet.2009.04.014

Published

2021-07-31

How to Cite

Astuti, L. G., & Pratama, G. A. M. (2021). The expert system design to identify laptop damage by applying certainty factor method . International Research Journal of Engineering, IT & Scientific Research, 7(4), 165–175. https://doi.org/10.21744/irjeis.v7n4.1898

Issue

Vol. 7 No. 4: July 2021

Section

Research Articles
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