https://jmai.mercubuana-yogya.ac.id/index.php/jmai <h3>JMAI atau Jurnal Multimedia and Artificial Intelligent mengundang peneliti untuk mempublikasikan hasil karya penelitiannya. JMAI mengundang tulisan dengan fokus tema 5 bidang :</h3> <p>1. Artificial Intelligent dan implementasinya</p> <p>2. Computer vision and pattern recognition</p> <p>3. Multimedia</p> <p>4. Expert system</p> <p>5. Big Data and Data analysis</p> <p>Paper yang disubmit ditulis dalam bahasa indonesia dan abstrak dua bahasa inggris dan indonesia serta melalui proses review minimal 1 nasional reviewer.</p> <p>Terbit setiap Februari dan Agustus</p> en-US jmai@mercubuana-yogya.ac.id (Arita Witanti) albert.ch@mercubuana-yogya.ac.id (Albert Candra) Tue, 20 Aug 2024 00:00:00 +0000 OJS 3.3.0.13 http://blogs.law.harvard.edu/tech/rss 60 https://jmai.mercubuana-yogya.ac.id/index.php/jmai/article/view/103 Message security in this modern is needed. The development of the internet network that allows people to exchange data through the internet network. Along with the development of the internet, communication and information technology crimes are also developing one of which is data theft. These problems can be dealt with using the sciences that have existed since time immemorial namely steganography. Steganography is a technique that can secure the message by hiding the message pasted through the media in the form of digital images. Pixel Value Differencing as one of steganography techniques is quite safe in hiding secret messages. Pixel Value Differencing is a steganographic method that uses a difference value between two pixels to determine how many secret bits can be inserted. Based on the test results, it can be concluded that by using the pixel value differencing (PVD) method, the capacity of the image to insert a message is smaller than the image size, the processing time in this method is quite fast, the image quality after inserting a message has good quality David Saputra, Arita Witanti Copyright (c) 2024 JMAI (Jurnal Multimedia & Artificial Intelligence) http://creativecommons.org/licenses/by-nc-sa/4.0 https://jmai.mercubuana-yogya.ac.id/index.php/jmai/article/view/103 Tue, 20 Aug 2024 00:00:00 +0000 https://jmai.mercubuana-yogya.ac.id/index.php/jmai/article/view/119 Kampong chicken meat is meat obtained from kampong chicken. kampong chicken meat is considered expensive because they take longer time to grow up, a lot of people cheat by selling stale kampong chicken meat. The characteristics used to identify the meat’s image are homogeneity, contrast, average and variants. The number of data used in this research consists of two classes, each class has 30 image data, the total data is 60 training data. Whereas for test data, each class used 20 test data with a total of 40 test data. During the training process using LVQ parameters, there were 2 best percentages of 90%, namely on alpha 0.001 with a dec alpha of 0.2 and alpha 0.01 with a dec alpha of 0.9. The identification performed using the final weight from alpha 0.01 and dec alpha 0.9 had an 90% accuracy level with 4 iterations. The best performance from 40 test data using this software was with alpha 0.01 and dec alpha 0.9, which reached 90%. Dennis Feliawan Aji, Indah Susilawati Copyright (c) 2024 JMAI (Jurnal Multimedia & Artificial Intelligence) http://creativecommons.org/licenses/by-nc-sa/4.0 https://jmai.mercubuana-yogya.ac.id/index.php/jmai/article/view/119 Mon, 31 Aug 2020 00:00:00 +0000 https://jmai.mercubuana-yogya.ac.id/index.php/jmai/article/view/107 A selection of the best books’ supplier is very important in a bookstore, in producing books for their store. Sometimes, several books suppliers are difficult to choose, because many books suppliers from many regions, in which the selection is still manual. Such way causes a decision making which needs an accurate and precise calculation among the existed books suppliers. Therefore, researchers designed a decision support system for books suppliers’ selection, to be used by the TOGAMAS Bookstore in determining the books suppliers which will easily be selected, based on the specified criteria. This decision support system was created using the method of Simple Additive Weighting (SAW) as the tool that would help the TOGAMAS. The test was done by comparing the calculation from the TOGAMAS, with the calculation from the SAW, using 10 suppliers’ data to test the system performance. Based on the test, it was concluded that the percentage of the system performance was 50%. Leni Karlina, Putri Taqwa Prasetyaningrum Copyright (c) 2020 JMAI (Jurnal Multimedia & Artificial Intelligence) http://creativecommons.org/licenses/by-nc-sa/4.0 https://jmai.mercubuana-yogya.ac.id/index.php/jmai/article/view/107 Mon, 31 Aug 2020 00:00:00 +0000 https://jmai.mercubuana-yogya.ac.id/index.php/jmai/article/view/162 Many variations in the clinical picture of a skin disease, and conversely one form of clinical abnormality can be found in several diseases. This kind of thing is very important to know and learn by medical health personnel, paramedics and medical and nursing students. In addition, there are many lists of diseases that must be mastered by medical doctors and medical student graduates, which are an absolute requirement that must be met. This condition requires obtaining information practically anywhere at any time. This study aims to develop an Android-based Dermatology Encyclopedia application which contains information on skin diseases that must be mastered by doctors in primary health care facilities based on Indonesian Doctor Competency Standards. The application is used to help medical personnel, young doctors (coas), medical students and ordinary people in obtaining information about skin and venereal diseases, starting from symptoms, history taking, differential diagnosis of skin diseases and providing advice on treatment or management in the form of text or images. Fajar Suryani, Agustina Srirahayu, Triyono Triyono Copyright (c) 2020 JMAI (Jurnal Multimedia & Artificial Intelligence) http://creativecommons.org/licenses/by-nc-sa/4.0 https://jmai.mercubuana-yogya.ac.id/index.php/jmai/article/view/162 Mon, 31 Aug 2020 00:00:00 +0000 https://jmai.mercubuana-yogya.ac.id/index.php/jmai/article/view/104 In the modern era is the role of technology is very useful and rapidly evolved in societies, technology can make efficient and make effective activity or employment in the community, one of the roles of the current technology has been widely used in by the community i.e. google maps, google maps itself many uses and benefits of its one that is looking for a location to various places and then showing the route of the journey. On the existence of a travel distribution company couriers to deliver its products to any location of the consumer. These problems in the case of travelling salesmen problem (TSP), where a courier will visit a number of n points. and every point should only be visited once in addition to the starting point. In this study, researchers aim to create a system that can locate the most minimum distribution route using a genetic algorithm, utilizing the features of google maps so that the impact on the effectiveness of time and transportation costs. Genetic algorithm is a heuristic algorithm is used to resolve the problem by way of mengoptimasikan the problem with imitating the process of evolution of living beings. In this study data on use is data from the distributor sari bread jogjakarta. Data on testing trainers in this research aims to find the best algorithm parameter values and parameter values that is obtained by the total population = 100, maximum = 100 genes, the crossover rate = 0.5, and the mutation rate is 0.1. Of the 5 test data, by performing a test on each of the 10 test data. then the obtained results of genetic algorithm performance results percentage of 84% of the route or the value of an optimal fitness, and 16% showed error route that is not optimal. adena reis vanrika, Arita Witanti Copyright (c) 2020 JMAI (Jurnal Multimedia & Artificial Intelligence) http://creativecommons.org/licenses/by-nc-sa/4.0 https://jmai.mercubuana-yogya.ac.id/index.php/jmai/article/view/104 Mon, 31 Aug 2020 00:00:00 +0000