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INDONESIA
Jurnal Ilmiah Kursor
ISSN : -     EISSN : 23016914     DOI : -
Core Subject : Education,
Contributions to KURSOR journal must be in the form of research or review paper relating directly to the development in Computer Science or Information TechnologyContributions to KURSOR journal must be in the form of research or review paper relating directly to the development in Computer Science or Information Technology.
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Articles 4 Documents
Search results for , issue "In Press Vol 8 no 3" : 4 Documents clear
RINDIK VOICE SYNTHESIS USING MODIFIED FREQUENCY MODULATION AS BALI CULTURAL PRESERVATION EFFORTS Widiartha, I Made
Kursor In Press Vol 8 no 3
Publisher : University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v0i0.1693

Abstract

Gamelan bali is one aspect of the art highly favored by both domestik and foreign tourists. This is due to the unique, dynamics, and strong ethnic imagery of Balinese gamelan. One type of popular typical Balinese gamelan is Gamelan rindik. Rindik is one of Balinese traditional musical instrument made of bamboo. It has some different length and size of element which can produce a harmonious tone. Now days, the number of foreign culture that goes to bali and lifestyle of today's advanced technology era give some impacts on the declining interest of young people of bali to interact with this type of conventional gamelan. The younger generation is now more inclined to like devices that are currently existing technologies, as well as musical instrument which is played through electronics and software component.            To preserve and increase public interest towards traditional gamelan bali especially rindik we need a breakthrough to digitize gamelan rindik and presenting it in the form of rindik electronic devices. It is considering that the presentation of this electronic form of gamelan rindik will become a bridge for the younger generation in order to maintain the interest and appeal to rindik traditional instrument. The era of today's advanced technology has made a way for us to digitize a wide range of instruments including rindik into computerized form. In awaken to the sound of gamelan rindik into digital form, we can use frequency modulation as a voice synthesis techniques. This method has been developed by researchers in the field of sound synthesis.            In this research we have done the sound synthesis process of rindik instrument into digital form using frequency modulation. The best results were obtained through the synthesis comparison of carrier signal frequency and modulator is 1:7. Outcomes of this research is a digitizing result which is presented in the form of a gamelan rindik package on desktop based software application. The software is expected to be a preservation media of cultural especially to gamelan rindik.
Segmentation of Moving Objects Based on Minkowski Distance Using K-means Clustering Hariadi, Moch.; Mulyanto, Eko; Purnomo, Mauridhi H.; Soeleman, Moch Arief
Kursor In Press Vol 8 no 3
Publisher : University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v0i0.1241

Abstract

Segmentation of moving objects is one of the challenging research areas for video surveillance application. The success of object changing position for segmentation is when the moving object completely separate the foreground from its background of frame. It depends on many factors, including the use of suitable clustering method to differentiate the pixels of the foreground and background. This paper propose to use k-means as clustering method for moving object segmentation. The method is evaluated on several distance measures. Several steps are performed to conduct the moving object segmentation, such as frame subtraction, median filtering, and noise removal. These steps are proposed to improve the achievement of moving object segmentation. The performance are evaluated by using Mean of Square Error and Peak Signal to Noise Error. The value of both measurement are 135.02 and 25.52. The experimental result shows that the moving object segmentation performs the best result on Minkowski distance.
SENTIMENT ANALYSIS E-COMPLAINT CAMPUS USING PROBABILISTIC NEURAL NETWORK ALGORITHM Sarwani, Mohammad Zoqi
Kursor In Press Vol 8 no 3
Publisher : University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v0i0.1403

Abstract

E-complaints is one of the technologies used to collect feedback from customers in the form of criticism and suggestions based electronics is through a system. This study uses the case of e-complaint in UB. The method used in this research is the method of Probabilistic Neural Network (PNN) using the weighting method TF / IDF. Process analysis conducted there are two stages, the process of training and testing process. The data used in this study were 70 training data and testing the data 20. From the analysis done by using a combination of the amount of training data and testing data is obtained results of the combination of the amount of training data and testing data is good with the amount of training data and how much data testing 70 20. With that combination obtained accuracy rate up to 90%
HIDDEN MARKOV MODELS BASED INDONESIAN VISEME MODEL FOR NATURAL SPEECH WITH AFFECTION Setyati, Endang; Purnomo, Mauridhi Hery; Sumpeno, Surya; Santoso, Joan
Kursor In Press Vol 8 no 3
Publisher : University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v0i0.1020

Abstract

In a communication using texts input, viseme (visual phonemes) is derived from a group of phonemes having similar visual appearances. Hidden Markov model (HMM) has been a popular mathematical approach for sequence classification such as speech recognition. For speech emotion recognition, a HMM is trained for each emotion and an unknown sample is classified according to the model which illustrate the derived feature sequence best. Viterbi algorithm, HMM is used for guessing the most possible state sequence of observable states. In this work, first stage, we defined system of an Indonesian viseme set and the associated mouth shapes, namely system of text input segmentation. The second stage, we defined a choice of one of affection type as input in the system. The last stage, we experimentally using Trigram HMMs for generating the viseme sequence to be used for synchronized mouth shape and lip movements. The whole system is interconnected in a sequence. The final system produced a viseme sequence for natural speech of Indonesian sentences with affection. We show through various experiments that the proposed, the results in about 82,19% relative improvement in classification accuracy.

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