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DC Field | Value | Language |
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dc.contributor.author | Rahmadinata Syafa’at | - |
dc.date.accessioned | 2014-11-10T06:05:33Z | - |
dc.date.available | 2014-11-10T06:05:33Z | - |
dc.date.issued | 2014-11-10 | - |
dc.identifier.nim | NIM102410101067 | - |
dc.identifier.uri | http://repository.unej.ac.id/handle/123456789/60182 | - |
dc.description.abstract | Determination results of a healthy house in Banyuwangi Health Department is still done manually . This process takes a long time to produce accurate data on healthy house . The recording process enables the data loss , the result of the determination of the health status is not accurate . This study aims to develop information systems capable of determining the health status of the house by applying fuzzy logic method Tsukamoto . Tsukamoto Fuzzy Inference System there are 3 stages of the fuzzification process , determination rule , defuzzification . The component scores , a score of sanitation facilities , and occupant behavior score is the input to be processed fuzzy logic . The third component is Fuzzification crips convert numbers ( firmly ) to fuzzy numbers . The next process is to determine the rule , and seek the minimum value of a predetermined rule . After getting the value , the next process is to change the fuzzy number into a firm number ( defuzzification ) with Center Average Defuzzier ( CAD ) . This value is used to determine a healthy home . | en_US |
dc.language.iso | other | en_US |
dc.relation.ispartofseries | 102410101067; | - |
dc.subject | decision support system, healthy house, fuzzy logic method, information system | en_US |
dc.title | SISTEM PENDUKUNG KEPUTUSAN PENILAIAN KESEHATAN RUMAH MENGGUNAKAN METODE LOGIKA FUZZY | en_US |
dc.type | Other | en_US |
Appears in Collections: | UT-Faculty of Computer Science |
Files in This Item:
File | Description | Size | Format | |
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Rahmadinata Syafa'at - 102410101067_1.pdf | 386.87 kB | Adobe PDF | View/Open |
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