Laptop Damage Detection Expert System with the Forward Chaining Method
DOI:
https://doi.org/10.35134/jcsitech.v8i2.31Keywords:
Sistem Pakar, Forward Chaining, UML, PHP, MySqlAbstract
Ultra Computer is a shop that is engaged in the service and sale of laptops and has difficulty overcoming laptop damage to clients and writing reports that have not been computerized. The method used by the author in this study is Forward Chaining by taking data directly to the Ultra Computer Store. The analysis is based on research conducted that the obstacles experienced are that technicians have difficulty in overcoming damage to laptops, both hardware and software damage. The results of the research are expected to design an expert system for diagnosing damage to laptops so that it can facilitate the shop so that it can diagnose damage quickly, precisely and accurately. efficient. The implementation of a diagnostic expert system design on this laptop certainly has a great influence on the shop without the need for more difficulty in diagnosing damage to the client laptop and recording data more accurately so that it can be a benchmark for other damages and the data storage is even better. safer than before. The tools used in the design of this system use UML and the programming uses the PHP programming language and is supported by a MySQL database
References
Hardiansyah, AD, Nugrahaeni, DC, Dewi, P., & Kom, M. (2020). Design of Information System Database for Study Assignment Officers (Sipatubel) at the Ministry of Defence. Senamika, 1(2), 222–233.
Dahri, S., Basri, H., Annafiyah, IK, Yulistio, T., Saifudin, A., & Kusyadi, I. (2021). Journal of Information Systems Technology and Expert System Applications Diagnosing Laptop Damage to Help Find Web-Based Problems Using the Forward Chaining Method. 4(4), 268–273
Irmayani, D. (2019). Expert System for Tracing Intelligence in Children Using the Forward Chaining Method. Journal of Informatics, 5(2), 1–20. doi:10.36987/informatika.v5i2.7
] Extice P,N. (2019). Computer Hardware Damage Expert System Using Forward Chaining Method (Case Study: Benhur Sungai Full). Momentum Journal, 18(2), 53–59
Wahyuni, T. (2016). An expert system for identifying adolescent psychological problems using the Android-based Forward Chaining Inference Method. J-ENSITEC, 2(02). doi:10.31949/j-ensitec.v2i02.304
Verina, W. (2019). Application of the Forward Chaining Method to Detect ENT Diseases. March, 1(2), 123.
Basiroh, B., & Kareem, SW (2021). Analysis of Expert System for Early Diagnosis of Disorders During Pregnancy Using the Forward Chaining Method. International Journal of Artificial Intelligence Research, 5(1), 44–52. https://doi.org/10.29099/ijair.v5i1.203
Paryati, & Krit, S. (2022). Expert System for Early Detection and Diagnosis of Central Nervous Disease in Humans with Forward Chaining and Backward Chaining Methods Using Interactive Multimedia. ITM Web of Conferences, 43(The International Conference on Artificial Intelligence and Engineering 2022 (ICAIE'2022)), 01016. https://doi.org/10.1051/itmconf/20224301016
Filetus, A., Raymond, R., Octavia, PF, & Agung, H. (2021). Application of Recommendations for Diagnosis of Diseases in the Field of Hematology and Oncology With Forward Chaining Algorithm. CCIT Journal, 14(1), 92–99. https://doi.org/10.33050/ccit.v14i1.1231
Ramadhan, RN, & Suprianto. (2022). Expert System to Diagnose Soil and Plant Types According to The Web-Based Forward ChainingMethod. Procedia of Engineering and Life Science, 2(1), 2–8. https://doi.org/10.21070/pels.v2i0.1181
Pamungkas, BA, Voutama, A., Sari, BN, & Susilawati, S. (2021). Expert System for Early Detection of HIV/AIDS Using the Forward Chaining Method and Certainty Factor. INTECOMS: Journal of Information Technology and Computer Science, 4(1), 120–130. https://doi.org/10.31539/intecoms.v4i1.2461
Hastuti, Maria, E., & Franz, A. (2022). Expert System for Identifying Weeds on Oil Palm Plantations Using a Web Based Forward Chaining and Dempster Shafer Method. Edge, 3(1), 41–48 . https://doi.org/10.51967/tepian.v3il.743
Oktapani, R. (2019). Application of the Forward Chaining Method in Computer Damage Expert Systems. IJCIT (Indonesian Journal on Computer and Information Technology), 02(02), 14–23.
Rizky, R., Wibowo, AH, Hakim, Z., & Sujai, L. (2020). Local Area Network (LAN) Network Damage Diagnosis Expert System Using Forward Chaining Method. Unis Journal of Informatics Engineering, 7(2), 145–152
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