SISTEM PENDUKUNG KEPUTUSAN DIAGNOSIS GANGGUAN KEHAMILAN MENGGUNAKAN METODE F-TOPSIS BERBASIS WEB
- Authors
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Amelia Fatmawati
Teknik Informatika, Universitas Widyagama Malang -
Fitri Marisa
Teknik Informatika, Universitas Widyagama Malang
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- Abstract
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Pregnancy is a normal function of the body and part of the life phase of women, during this period there is the possibility of pregnant women have a pregnancy disorder. To determine the type of pregnancy disorder the officer has certain patient criteria ie symptoms experienced by the patient. Decision-making issues can be complex because of the inclusion of multiple objectives and criteria. Thus, the method of Fuzzy Technique For Order Preference By Similarity To Ideal Solution (F-TOPSIS) was chosen. Fuzzy logic is a method of problem-solving control system, which is suitable to be implemented on the system, and in TOPSIS method there are alternatives and criteria of data that has been added and can be determined its matching rank. The alternative is used based on 12 types of pregnancy disorders only. While the criteria used to get a matching ranking is based on the symptoms experienced by the patient. In order to produce a suitable output with the data, the officer should enter the symptoms according to the existing pregnancy disorder criteria data. If the officer does not enter the appropriate symptoms, the user should enter at least 2 symptoms that other pregnancy diseases do not have. And if the user only inserts one symptom of the data, then the output does not match the existing data.
Keywords: fuzzy, interference, pregnancy, diagnosis, TOPSIS - References
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Wibisono, D. (2003). Riset Bisnis Panduan Bagi Praktisi Dan Akademisi. Jakarta: PT Gramedia Pustaka Utama.
Christioko, B. V., Indriyawati, H., & Hidayati, N. (2017). Fuzzy Multi-Atribute Decision Making (Fuzzy Madm) Dengan Metode Saw Untuk Pemilihan Mahasiswa Berprestasi. Jurnal Transformatika, Volume 14, Nomor 2,, 82.
Kusumadewi, S., & Dkk. (2006). Fuzzy Multi-Attribute Decision Making (Fuzzy ADM). Yogyakarta: Graha Ilmu.
Sutojo, T, Edy Mulyanto and Vincent Suhartono. 2011. Artificial Intelligence. Yogyakarta: Andi
Roeshadi, H. 2004. Disorders And Complications In Pregnancy. Medan: Department of Obstetrics and Gynecology University of North Sumatra.
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