Case Based Reasoning Method for Diagnosing Air Conditioner Damage
DOI:
https://doi.org/10.35134/jcsitech.v8i3.36Keywords:
Air Conditioner , Expert System, Case Based Reasoning (CBR), Refrigeration Process, EfficiencyAbstract
Technological advances greatly impact the continuity and comfort of human life, for example the use of air conditioners (AC). AC is a room conditioning tool that is able to condition the air in the room and provide a comfortable effect on the body. Air conditioning (AC) is a system or machine designed to stabilize air temperature and humidity in a certain area by circulating refrigerant gas through the refrigeration process. The research framework created in this research methodology aims to get the results as expected and easy to solve problems and easy to understand. In collecting data, researchers obtain data from various sources such as journals, books and other references to the object of research. This research was carried out by applying the interview method directly to Cv. Ihfha belongs to Mr. Jean Hilman. With an Expert System using the Case Based Reasoning (CBR) method, it can help employees work more elegantly and efficiently because all data collection about damage to the air conditioner is already in the system, so the owner can find out what is the damage to the air conditioner and can be done faster. the owner can already find out what damage is to the AC and can be done more quickly
References
Danang, MT (2022). Trouble Shooting Analysis of Nippon Denso Air Conditioner on Scania P380 Unit Using Microcontroller
Wiratmaja, IG, Dantes, KR, & Artha, EAJ (2020). Increase in Room Cooling Rate With Air and Water Combination Cooling Media on the Condenser Side in Split Air Conditioning Type Cooling Machines. Journal of Mechanical Engineering Education Undiksha, 8(1), 1–8. https://doi.org/10.23887/jptm.v9i1.33220
Fiqran, M. (2022). Expert System for Diagnosing Torch Disease in Pregnant Women with Certainty Factor and Fuzzy Logic Methods. Journal of Computer Scine and Information Technology, 33-39. https://doi.org/10.35134/jcsitech.v8i2.32
Saiful Nur Arif, Muhammad Syahril, Sri Kusnasari, HW (2019). Expert System for Diagnosing Oppo Mobile Damage. 4(1), 112–126. https://doi.org/10.53513/jsk.v4i1.2626 .
Mahyuni, & Munar. (2021). Measles Diagnostic Expert System. TIKA Journal, 06(01), 81–87.
Walker, EG, & David, D. (2020). Application of Backpropagation Neural Networks in the TORCH Virus Diagnostic Expert System. SISFOTENIKA, https://doi.org/10(1)87-10210.30700/jst.v10i1.947
Yanti, SN, & Budiyati, E. (2020). Web-Based Expert System Application for Diagnosing Covid-19 Virus in Humans Using the Forward Chaining Method. Pamulang University Informatics Journal, 5(4), 451-458. DOI: http://dx.doi.org/10.32493/informatika.v5i4.4944
Dewanti, M., Muchbarak, A., & Widiyatun, F. (2021). Expert System for Determining Diet Menus for Patients with Diabetes Mellitus. JRKT (Journal of Applied Computational Engineering), 1(02). DOI: https://doi.org/10.30998/jrkt.v1i02.4092
Dian, R., Sumijan, S., & Yuhandri, Y. (2020). Expert System in Identification of Tooth Decay in Children Using Forward Chaining and Certainty Factor Methods. Journal of Information Systems and Technology, 65-70. DOI: https://doi.org/10.37034/jsisfotek.v2i3.24
Wirapraja, A., Tandio, Y., & Iswati, I. (2020). Analysis and Design of Reservation Decision Management Information System. Executive, 17(1), 84-107.
Muslim Hasbiyalloh1, DAJ (2019). Journal page: Http://Jurnal.Stmik Dci.Ac.Id/Index.Php/Jumantaka/ Lppm Stmik Dci page: Http://Lppm.Stmik-Dci.Ac.Id. 1
Rini Rubhiyanti, Uswatun Khasanah, & Febryantahanuji. (2020). Making a Multiuser System for Inventory of Goods with the Last In First Out Method. E-Business : Scientific Journal of Economics and Business, 13(1), 88–95. Https:// d oi.Org/10.51903/E-Bisnis.V13i1.182
Papuan, M. (2019). Application of Case Based Reasoning for Hepatitis Diagnosis System.
Faisal, ZA (2019). Expert System for Diagnosing Diseases of Laying Hens Using Web-Based Case Based Reasoning Method. JATI (Journal of Informatics Engineering Students), 3(2), 126-132. https://doi.org/10.36040/jati.v3i2.882
WIDIARTO, H., & KUSUMA, PDD (2022). AUTOMATION AND MONITORING OF ARDUINO UNO-BASED AIR CONDITIONER (AC) SEMINAR ROOM NEW FLIGHT ENGINEERING BUILDING. KNOWLEDGE: Journal of Research and Development Innovation Results, 2(1), 44-55 . https://doi.org/10.51878/knowledge.v2i1.1138
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