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Journal of Applied Intelligent System
ISSN : 25020493     EISSN : 25029401     DOI : -
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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 5 Documents
Search results for , issue " Vol 3, No 1 (2018): Journal of Applied Intelligent System" : 5 Documents clear
Color Variation from Vehicle on The Road and Its Environment Through Subtle Motion Study Case Sukmana, Septian Enggar; Rahmanti, Farah Zakiyah
Journal of Applied Intelligent System Vol 3, No 1 (2018): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

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Abstract

Road accident has been serious case in Indonesia, the big number of the cases is not decreasing for six years. Many ways have been done, one of example is exploiting smart camera or CCTV to observe mocement estimation explicitly or implicitly. One problem is when explicit-based technique is applied, the computation process would take more resource. Implicit-based technique like exploitting processing-based frequency domain must be tried to make a better study and produce more knowledge in this study field. Color magnification can helpful information to support better movement estimation. This eulerian-based technique may be the one useful method to help this study. This paper implements eluerian video magnification to get color magnification on road as observed environment. This technique produces unexpected result that unknown black color appears, it still ambiguous because some scene can be described as black color object magnification result and another is shocking camera effect so that the technique is difficult to obtain color magnfication result. PSNR results quite better value because in spite of color magnification result distraction, the scenery of the road is not covered fully. SSIM shows that some mapping in each video data can not results same pattern, it is suspicious that SSIM mapping is affected by this color magnification result.
An Automated Testing Framework for Cross-Browser Visual Incompatibility Detection Xu, Zhen; Miller, James
Journal of Applied Intelligent System Vol 3, No 1 (2018): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

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Abstract

Due to the rapid evolution of web applications and computer techniques, visual incompatibility of web pages has become a problem across different browsers and platforms influencing the functionality of the web applications. At the present, researchers have made progress to address such issues; in addition, many commercial tools have emerged as well. However, drawbacks still exist in the existing work, where fully automate testing at the system level is still not achieved. In this paper, we attempt to propose a framework to detect the cross browser visual incompatibilities automatically. Highlights of the proposed framework include template based case organization, version based automation, and similarity embedded incompatibilities identification.
A High Result for Image Security Using Crypto-Stegano Based on ECB Mode and LSB Encryption Ilaga, Kas Raygaputra; Sari, Christy Atika; Rachmawanto, Eko Hari
Journal of Applied Intelligent System Vol 3, No 1 (2018): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (817.076 KB)

Abstract

The development of the digital world in the field of information technology is so rapid that making the exchange of information easy and fast. Such information may be general or specific. In general information there is no problem for the public, but specific information can not be free in the public. The main problem of the specific information is security, how the information is safe. To overcome these problems can be solved using cryptography and steganography. Cryptography is a technique for securing secret information from uninvolved parties, which the outcome is much different from the original information. Steganography is a technique to secure or hide the secret information on a digital object such as sound, image, vidio that applied results as seen the original information. In this paper proposed a combination of ECB Mode cryptographic method and LSB steganographic method on a digital image. The measurement method are PSNR and MSE to determine the quality of the stego image. Our results are excellent for digital image encryption of RGB and Grayscale type since the resulting image looks like the original image, with the best stego-image proof with MSE is 0.00013, PSNR is 87.00141, SSIM is 1 shown as excellent result.
Different Types of Beef and Pord Using Histogram Texture and K-Means Clustering Method Himawan, Heribertus; Wiratama, Widya
Journal of Applied Intelligent System Vol 3, No 1 (2018): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

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Abstract

The largest source of protein needed by the human body comes from meat. Basically a high number of buyers and beef is much more expensive than other meats giving chances to irresponsible parties to mix beef with pork, In the Islamic religious teachings, pork is forbidden because consuming pork there is a physical, psychological and very easy to be contaminated by bacteria. Humans have the limitation of identifying beef and pork manually using the senses of human vision are still many weaknesses and less effective. In this research, meat image extraction applies histogram and clustering by applying K-Mean. By applying this method is expected to help to group the image of meat with a high degree of accuracy.
Tomato Maturity Classification using Naive Bayes Algorithm and Histogram Feature Extraction Kusuma, Arya; Setiadi, De Rosal Ignatius Moses; Putra, M. Dalvin Marno
Journal of Applied Intelligent System Vol 3, No 1 (2018): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

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Abstract

Tomatoes have nutritional content that is very beneficial for human health and is one source of vitamins and minerals. Tomato classification plays an important role in many ways related to the distribution and sales of tomatoes. Classification can be done on images by extracting features and then classifying them with certain methods. This research proposes a classification technique using feature histogram extraction and Naïve Bayes Classifier. Histogram feature extractions are widely used and play a role in the classification results. Naïve Bayes is proposed because it has high accuracy and high computational speed when applied to a large number of databases, is robust to isolated noise points, and only requires small training data to estimate the parameters needed for classification. The proposed classification is divided into three classes, namely raw, mature and rotten. Based on the results of the experiment using 75 training data and 25 testing data obtained 76% accuracy

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