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Journal of Applied Intelligent System
ISSN : 25020493     EISSN : 25029401     DOI : -
Core Subject :
Journal of Applied Intelligent System (JAIS) is published by LPPM Universitas Dian Nuswantoro Semarang in collaboration with CORIS and IndoCEISS, that focuses on research in Intelligent System. Topics of interest include, but are not limited to: Biometric, image processing, computer vision, knowledge discovery in database, information retrieval, computational intelligence, fuzzy logic, signal processing, speech recognition, speech synthesis, natural language processing, data mining, adaptive game AI.
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Articles 6 Documents
Search results for , issue " Vol 2, No 2 (2017): December 2017" : 6 Documents clear
Subtle Changes of Basketball Player in Video Based Euler Method Sukmana, Septian Enggar; Sulistyawati, Dwi Harini
Journal of Applied Intelligent System Vol 2, No 2 (2017): December 2017
Publisher : LPPM Universitas Dian Nuswantoro

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Abstract

Analysing basketball player movement is not performed conventionally recently. Combining science and technology in sport has made a great impact. Basketball player movement analysis using latest technology can achieved by many ways such as retrieving information from video. A video that contains basketball match can be valuable resource to be analysed by computer vision technique. Player movement estimation can be separated into two categories such explicitly or implicitly. Player movement estimation that is performed implicitly is assumed more efficient than explicitly one, but in consequent, it has exploiting series computation like Lagrangian or Eulerian to the pixel color value and it is not easy to be seen by human visual system. This paper uses Eulerian series because of its succest in the previous research activity that called eluerian video magnification technique. That technique is implemented to basketball player in the field and it is not easy task because it is the object is formed as group in certain environment.
Naive Bayes Classifier Based Geographic Information System for University Search Information Zeniarja, Junta; Luthfiarta, Ardytha; Supriyanto, Catur
Journal of Applied Intelligent System Vol 2, No 2 (2017): December 2017
Publisher : LPPM Universitas Dian Nuswantoro

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Abstract

Information about the geographical location of universities is necessary for graduates of Senior High School who want to continue their education to a university. Most of the graduate students do not know the location of the universities since the geographical location of Google Maps is less clear and less precise. Therefore, the application of Geographic Information Systems (GIS) based on Information Retrieval (IR) is expected to facilitate the graduate students to know the exact location of the university. In this paper, IR-based GIS application is developed by using web programming. The web is used as a search engine when someone wants to find a college. The application shows the map and information of the college in the area according to the query of the user. Naive Bayes algorithm is used to classify the user query and locate the query on the map. Based on our prototype, the application is promising to be implemented for the student.
Application Of Tourist Route Map Based On Modification Bidirectional A * Algorithm Winata, Panji; Wijanarto, -
Journal of Applied Intelligent System Vol 2, No 2 (2017): December 2017
Publisher : LPPM Universitas Dian Nuswantoro

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Abstract

Tourism is an activity that has become a trend of human needs. The development of technology in the current era is very helpful in providing such information to tourists, one of which is information about the route in the planning of tourism activities. Tourists will certainly choose the optimal route in their journey to make their tours more effective. In order to determine the fastest route, this paper will present a mobile-based application that will help tourists to quickly reach the destination. The Efficient Modified Bidirectional A * algorithm is chosen because it will provide an efficient route with shorter distance, which is a modification of the A * algorithm. The results of the case study of 5 trips from the starting point toward the goal resulted in a high level of efficiency (3 cases) and quite good (3 cases) with values, 77.5%, 53%, 53.8%, 73%, 72.6 %. The above percentage is calculated by finding a proportional distance (d) of choice with the distance of all possible paths, then subtracting 1 by multiplying d by 100%. In the future work need to add the parameters of the busy road route or not to be selected more optimal.
An Enhancement of One Time Pad Based on Monoalphabeth Caesar Cipher to Secure Grayscale Image Sari, Christy Atika; Erawan, Lalang; Rachmawanto, Eko Hari; Setiadi, De Rosal Ignatius Moses; Permana, Tan Samuel
Journal of Applied Intelligent System Vol 2, No 2 (2017): December 2017
Publisher : LPPM Universitas Dian Nuswantoro

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Abstract

Image is an object that has been used by various people since long ago. Utilization of these images evolve in line with advances in technology. Image in this information technology era is not only in a physical form, there is also a form of so-called digital image. Many people use digital images for personal use, so prone to be manipulated by others. Cryptographic technique, such as Caesar Cipher and OTP is a security techniques that can be applied to the digital image to avoid manipulation or theft of data image. The result is, an image can be read only by the sender and the recipients image alone. Combined the two algorithms have fast turnaround time, up to 0.017791 seconds for the image to the size of 512x341 and 0.032302 seconds for the image to the size of 768x512. In addition, the resulting image has a very low degree of similarity,  with the highest PSNR value obtained is 6.8653 dB. It can be concluded that the combined algorithm and OTP Caesar Cipher algorithm is fast and difficult to solve.
Expert System With Certainty Factor For Early Diagnosis Of Red Chili Peppers Diseases Agus, Fahrul; Wulandari, Hernanda Eka; Astuti, Indah Fitri
Journal of Applied Intelligent System Vol 2, No 2 (2017): December 2017
Publisher : LPPM Universitas Dian Nuswantoro

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Abstract

Red chili peppers (Capsicum annuum L.) plants classified as fruit and vegetables spices (herbs), that almost all people consume it for everyday purposes. Not only used for household consumption, but also used in various industries as a raw material. Utilization as raw materials in various industry makes red chili as vegetable crops of high economic value and has a great prospect. But its diseases are complex enough for causing farmers hard to diagnose and resulted in reduced production levels. One solution to this problem is the establishment of an expert system that can help farmers to diagnose major diseases of red pepper plant in a practical and accurate. The purpose of this research is to make the application of expert systems for diagnosing diseases of red chili. This application uses forward chaining to diagnose disease and calculate the value of possibilities with Certainty Factor. This method is to prove whether a fact that certainly would not have been shaped or metrics that are typically used in an expert system. This method is suitable for expert systems to diagnose something uncertain. Certainty Factor expressed confidence in an event or factual hypothesis based on evidence or expert judgment. The results of research is in the form of an expert system application that can diagnose diseases of red pepper plants with enough accuracy and can help in overcoming the problem of crop failure. Based on the data taken from tests performed in this study, the system can diagnose red chili plant disease with high accuracy.
Comparison of Image Improvement Method on Parasite Images of Malaria Rosnelly, Rika; Wahyuni, Linda
Journal of Applied Intelligent System Vol 2, No 2 (2017): December 2017
Publisher : LPPM Universitas Dian Nuswantoro

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Abstract

Improved image is a process on the image that initially has a quality that is less good or has noise. In this image improvement operation image quality will be improved so that the image produces better quality. Image improvement methods used are contrast stretching, histogram equalization, low pass filter and Gaussian filtering. In this study compare contrast stretching method, histogram equalization, low pass filter and Gaussian filtering to improve image quality. Performance of each method would be calculated by finding the value of Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR). This study compares contrast stretching methods, histogram equalization, low pass filter and Gaussian filtering to improve image quality. Total data of malaria parasite image is 120. The data consist of image of malaria parasite falciparum, vivax, malariae along with stage that is ring, tropozoit, skizon and gametocyte. Evaluate the performance of each method by finding Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR) values. The result is a contrast stretching provides better image quality against malaria parasite image.

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