文章基本信息

标题：FUZZY PROGRAM AS DECISION SUPPORT SYSTEM ON INTEGRATED HOUSING SECURITY SYSTEM
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作者：Lutfi Indrawan ; Farid Thalib
期刊名称：Faculty of Computer Science and Information Technology
出版年度：2007
卷号：0
期号：0
语种：English
出版社：Faculty of Computer Science and Information Technology
摘要：Key Word : early warning, Fuzzy, security systemABSTRACT :Integrated Security Systems is a security system that can detect physicalquantities and early warning of informing fire and intrusion to operator andhouse owner with system elements of data terminal, network serial datacommunications, data processing and early warning system as an integrated andcoherent design. Early warning of the fire will be informed by considering thepercentage of fire alarm as a result of data processing using Fuzzy Logicmethod. This research explains the design process and system analysis toproduce a sub-key systems of Integrated Housing Security Systems as acontroller and data processor to generate the decision based on the percentage offire alarm as a result of data processing to input degree temperature, smokeintensity and fire intensity values. This research is useful to introduce the FuzzyLogic designed with Visual Basic 6.0 program as a method of decision-makingfor processing of comprehensive and integrated data. The program is designedwith Visual Basic 6.0 programming and has a name Fireproof. The program willaccess the serial port using Ms. Comm Control object to retrieve the data fromserial data communications network based on RS-485 bus, process the data withfunction-based programming Fuzzy Logic method, store the data results intoMs. Access with the help of virtual objects and query of ADODB MySQL,inform early warning of critical conditions through a graphical interface. Theresults showed that the Fuzzy Logic method can process comprehensive andintegrated data and consider combination of three inputs. The system will notinform early warning if there was only one input critical condition on. Use ofonly three variables of Daerah Keanggotaan causing the end result of FuzzyLogic method does not change smoothly.