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A Haris Rangkuti
Bina Nusantara University
Computer Science & IT Engineering Mathematics

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Klasifikasi Motif Batik Berbasis Kemiripan Ciri dengan Wavelet Transform dan Fuzzy Neural Network A Haris Rangkuti
ComTech: Computer, Mathematics and Engineering Applications Vol. 5 No. 1 (2014): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v5i1.2630

Abstract

 This paper introduces a classification of the image of the batik process, which is based on the similarity of the characteristics, by combining the method of wavelet transform Daubechies type 2 level 2, to process the characteristic texture consisting of standard deviation, mean and energy as input variables, using the method of Fuzzy Neural Network (FNN). Fuzzyfikasi process will be carried out all input values with five categories: Very Low (VL), Low (L), Medium (M), High (H) and Very High (VH). The result will be a fuzzy input in the process of neural network classification methods. The result will be a fuzzy input in the process of neural network classification methods. For the image to be processed seven types of batik motif is ceplok, kawung, lereng, parang, megamendung, tambal and nitik. The results of the classification process with FNN is rule generation, so for the new image of batik can be immediately known motif types after treatment with FNN classification.  For the degree of precision of this method is 86-92%.
Deteksi 4 Tanda Vital Pasien Rumah Sakit Berbasis Fuzzy Database A Haris Rangkuti
ComTech: Computer, Mathematics and Engineering Applications Vol. 4 No. 1 (2013): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v4i1.2799

Abstract

 To assist the performance of medical technicians in nursing patients effectively and efficiently, information technology appears as a dominant support. Utilizing information technology, patient’s diagnoses can be reported to a doctor as soon as possible, as well as the patient's condition which needs to be monitored regularly. It is necessary to build a monitoring information system of hospital that is able to present timely information regarding the patient's condition characterized by four vital signs which are temperature, blood pressure, pulse, and respiration. For the four vital signs monitoring, fuzzy logic concept is implemented. If vital signs approach 1, the patient is close to recovery. Conversely, if the signs are 0, the patient still needs medical treatment. This system also helps nurses in order to provide answers to the families of patients who want to know the development of the patient's condition, as well as the recovery based on the average percentage of Fuzzy max of four vital signs. By Fuzzy-based monitoring system, monitoring the patient's condition becomes simpler and easier. 
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