{"title":"设计一个基于Android的专家系统应用程序,以检测空调的故障","authors":"Rinabi Tanamal","doi":"10.25139/OJSINF.V4I2.1685","DOIUrl":null,"url":null,"abstract":"Abstract— Air Conditioner (AC) is a system or machine designed to stabilize the air and air temperatures that cover a certain area. This study discusses how to find ways to improve Android-based system applications for air protection in Air Conditioning (AC), this method is used as a support in making decisions on damage to Air Conditioner (AC) on the main components, supporting components, electrical components and cooling materials (Refrigerant) in Air Conditioner (AC). To design the application, an expert system is needed. Expert system itself is a computer system that emulates the ability of human expertise (Sri Hartati and Sari Iswanti, 2008: 152). The purpose of this study is to be able to produce an expert system application that can help technicians to improve damage to the Air Conditioner (AC) so that users of Air Conditioning (AC) can also understand the damage that occurs in Air Conditioners (AC). The research inference method used in this expert system uses the Android-based Forward Chaining method. Forward Chaining is a strategy in finding data by collecting data or facts which will then be concluded to find the right solution or event to solve a problem. The shell expert system used is McGoo which will then be adopted into the Thunkable Android application. With the existence of this expert system aims to identify damage to the Air Conditioner (AC) and used as material in making decisions to help the users, especially the technicians in diagnosing the damage that is in the Air Conditioner (AC). The results of this study indicate that the existence of a hierarchy of decisions to detect damage to the Air Conditioner (AC) can be applied in the society and from the results of application testing it can be concluded that the application of this expert system will be a tool for users of Air Conditioners and technicians to diagnose damage to Air Conditioner (AC). ","PeriodicalId":52760,"journal":{"name":"Inform Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi","volume":"40 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Rancang Bangun Aplikasi Sistem Pakar Berbasis Android untuk Mendeteksi Kerusakan pada Air Conditioner (AC)\",\"authors\":\"Rinabi Tanamal\",\"doi\":\"10.25139/OJSINF.V4I2.1685\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract— Air Conditioner (AC) is a system or machine designed to stabilize the air and air temperatures that cover a certain area. This study discusses how to find ways to improve Android-based system applications for air protection in Air Conditioning (AC), this method is used as a support in making decisions on damage to Air Conditioner (AC) on the main components, supporting components, electrical components and cooling materials (Refrigerant) in Air Conditioner (AC). To design the application, an expert system is needed. Expert system itself is a computer system that emulates the ability of human expertise (Sri Hartati and Sari Iswanti, 2008: 152). The purpose of this study is to be able to produce an expert system application that can help technicians to improve damage to the Air Conditioner (AC) so that users of Air Conditioning (AC) can also understand the damage that occurs in Air Conditioners (AC). The research inference method used in this expert system uses the Android-based Forward Chaining method. Forward Chaining is a strategy in finding data by collecting data or facts which will then be concluded to find the right solution or event to solve a problem. The shell expert system used is McGoo which will then be adopted into the Thunkable Android application. With the existence of this expert system aims to identify damage to the Air Conditioner (AC) and used as material in making decisions to help the users, especially the technicians in diagnosing the damage that is in the Air Conditioner (AC). 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引用次数: 1
摘要
摘要:空调(AC)是一种系统或机器,旨在稳定覆盖一定区域的空气和空气温度。本研究探讨如何改进基于android系统的空调空气保护应用,并将此方法作为空调主要部件、配套部件、电气部件和制冷材料(制冷剂)损坏决策的依据。为了设计应用程序,需要一个专家系统。专家系统本身是一种模拟人类专业知识能力的计算机系统(Sri Hartati and Sari Iswanti, 2008: 152)。本研究的目的是能够产生一个专家系统应用程序,可以帮助技术人员改善空调(AC)的损坏,以便空调(AC)的用户也可以了解空调(AC)中发生的损坏。该专家系统的研究推理方法采用基于android的前向链方法。前向链接是一种通过收集数据或事实来寻找数据的策略,然后将其总结为找到解决问题的正确解决方案或事件。使用的shell专家系统是McGoo,然后将被采用到Thunkable Android应用程序中。该专家系统的存在旨在识别空调的损坏,并作为决策的依据,帮助用户,特别是技术人员对空调的损坏进行诊断。研究结果表明,空调故障诊断决策层次的存在是可以在社会上应用的,从应用测试的结果可以看出,该专家系统的应用将成为空调用户和技术人员诊断空调故障的工具。
Rancang Bangun Aplikasi Sistem Pakar Berbasis Android untuk Mendeteksi Kerusakan pada Air Conditioner (AC)
Abstract— Air Conditioner (AC) is a system or machine designed to stabilize the air and air temperatures that cover a certain area. This study discusses how to find ways to improve Android-based system applications for air protection in Air Conditioning (AC), this method is used as a support in making decisions on damage to Air Conditioner (AC) on the main components, supporting components, electrical components and cooling materials (Refrigerant) in Air Conditioner (AC). To design the application, an expert system is needed. Expert system itself is a computer system that emulates the ability of human expertise (Sri Hartati and Sari Iswanti, 2008: 152). The purpose of this study is to be able to produce an expert system application that can help technicians to improve damage to the Air Conditioner (AC) so that users of Air Conditioning (AC) can also understand the damage that occurs in Air Conditioners (AC). The research inference method used in this expert system uses the Android-based Forward Chaining method. Forward Chaining is a strategy in finding data by collecting data or facts which will then be concluded to find the right solution or event to solve a problem. The shell expert system used is McGoo which will then be adopted into the Thunkable Android application. With the existence of this expert system aims to identify damage to the Air Conditioner (AC) and used as material in making decisions to help the users, especially the technicians in diagnosing the damage that is in the Air Conditioner (AC). The results of this study indicate that the existence of a hierarchy of decisions to detect damage to the Air Conditioner (AC) can be applied in the society and from the results of application testing it can be concluded that the application of this expert system will be a tool for users of Air Conditioners and technicians to diagnose damage to Air Conditioner (AC).