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Rico Wijaya
STMIK Methodist Binjai
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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APLIKASI PENCARIAN GAMBAR DENGANALGORITMA CONTENT-BASED IMAGE RETRIEVAL Mutiara S. Simanjuntak; Allwine Allwine; Rico Wijaya
Jurnal Mantik Penusa Vol. 3 No. 3 (19): COmputer Science
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

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Abstract

Image retrieval system is a method used to extract image features and provides rules for comparing two images based on these characteristics. Several methods that can be used are Image Meta Search and Content-Based Image Retrieval (CBIR) methods. CBIR is an image search based on information contained in the image, for example searching for duck images, then entering the characteristics of the duck image and then based on these characteristics look for another image with similar features. Characteristics commonly used to help search for images include color, shape and texture features. In the design of this image retrieval application program, the characteristic used is the color feature. One method that can be used to calculate image characteristics is the Color Histogram Peaks Indexing. This method will compare the image to be searched (query image) with the database image (image stored in the database) to produce color features that will be used as feature vectors for query images and database images. The Color Histogram Peaks Indexing method is a new method designed to overcome the problem of scaling changes in image search. Based on the test results, it is known that the conversion process from HSV image to RGB image requires a long calculation process because it has to do repetition for each pixel, the scale difference of an image will not greatly affect the location of the peak on the HSV Histogram image and image retrieval algorithm can be used to perform Image search process based on the color characteristics of the image.
SISTEM PAKAR MENDETEKSI TINGKAT RESIKO PENYAKIT MELALUI GEJALA DAN POLA HIDUP MENGGUNAKAN METODE FUZZY MAMDANI Allwine Allwine; Mutiara S. Simanjuntak; Rico Wijaya
Jurnal Mantik Penusa Vol. 3 No. 3 (19): COmputer Science
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Currently the expert system is growing rapidly moving along with the development of computer technology which is getting more and more advanced from day to day. Humans always try to make it easier to solve every problem faced. One application to solve every problem is an expert system for a healthy lifestyle.The importance of health for everyone in order to be able to empower everything that they have and their environment to the fullest, health is very closely related to healthy living. So that the definition of healthy living can be elaborated by having health in life with no problems with disruption in life both physical in the form of illness in the body and non-physical related to the condition of one's soul, heart and mind in life both individually and socially. The making of this expert system is carried out in the following stages: designing a healthy living program on eating rules, so as to create an expert system design with a tracking model with the Fuzzy Logic method. The making of this expert system uses the Microsoft Visual Basic 2008 programming language.
Co-Authors Allwine Mutiara S. Simanjuntak