Yoyon K. Suprapto
Institut Teknologi Sepuluh Nopember Surabaya

Published : 5 Documents

Found 5 Documents

Clustering Letters in The Metal Inscription Using ANFIS Filter Rasmana, Susijanto Tri; K. Suprapto, Yoyon; E. Purnama, Ketut
TELKOMNIKA Telecommunication, Computing, Electronics and Control Vol 11, No 3: September 2013
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (51.295 KB)


Ancient inscriptions are historical records of the past were made on stone or metal media. Currently many ancient inscriptions were damaged because for too long buried in the ground. This research is the first step to repairing the damaged inscription using Image processing. Efforts to restoration using ANFIS clustering are an early stage to perform segmentation letters in the inscription. The Results of clustering ANFIS method is compared to the spatial fuzzy clustering method (SFCM). Measuring the performance of clustering is done by measuring root mean square error (RMSE). From RMSE measurements, the average values ??obtained for the measurement of clustering with ANFIS method smaller 21.80% compared to SFCM. This means there is an increase in clustering performance with ANFIS method compared to SFCM. Even so further efforts are needed to improve the clustering quality of metal inscription.
Combination of Hierarchical and Non-Hierarchical Cluster Method for Segmentation of Web Visitors Yuhefizar, Yuhefizar; Santosa, Budi; Eddy P., I Ketut; K. Suprapto, Yoyon
TELKOMNIKA Telecommunication, Computing, Electronics and Control Vol 11, No 1: March 2013
Publisher : Universitas Ahmad Dahlan

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Clustering is one of the important part in web usage miningfor the purpose of segmenting visitors. This action is very important for web personalization orweb modification. In this paper, we perform clustering of the web visitors using a combination of methods of hierarchical and non-hierarchical clustering toward web log data. Hierarchical clustering method used to determine the number of clusters, and non-hierarchical clustering method is used in forming clusters. The stages of cluster analysis are preceded by pre-processing the data and factor analysis. With this approach, the owner of the web is more effective at finding access patterns of web visitors and can have new knowledge about visitors segmentation. From the test applied on ITSs web log data, 6 clusters of web visitors are resulted. Among the 6 cluster, cluster 3 has the biggest number of members. This information can be useful for web management to pay attention on members behavioral patterns of the 3rd clusters either to make personalization or modification on the web. The test results show the feasibility and efficiency of application of this method.
Gamelan Music Onset Detection based on Spectral Features P. Wulandari, Diah; Tjahyanto, Aris; K. Suprapto, Yoyon
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 11, No 1: March 2013
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (308.272 KB) | DOI: 10.12928/telkomnika.v11i1.3162


This research detects onsets of percussive instruments by examining the performance on the sound signals of gamelan instruments as one of  traditional music instruments in Indonesia. Onset plays important role in determining musical rythmic structure, like beat, tempo, measure, and is highly required in many applications of music information retrieval. Four onset detection methods that employ spectral features, such as magnitude, phase, and the combination of both are compared in this paper. They are phase slope (PS), weighted phase deviation (WPD), spectral flux (SF), and rectified complex domain (RCD). Features are extracted by representing the sound signals into time-frequency domain using overlapped Short-time Fourier Transform (STFT) and by varying the window length. Onset detection functions are processed through peak-picking using dynamic threshold. The results showed that by using suitable window length and parameter setting of dynamic threshold, F-measure which is greater than 0.80 can be obtained for certain methods.
Kursor Vol 6, No 3 (2012)
Publisher : University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v6i3.1100


SPECTRAL DENSITY BASED ON PHASE SHIFTING FOR MUSIC NOTATION Yoyon K. Suprapto Electrical Engineering Dept., Faculty of Industrial Technology Sepuluh Nopember Institute of Technology, Surabaya 60111 E-Mail: yoyonsuprapto@ee.its.ac.id Abstrak Explorasi jenis musik tradisional diperlukan untuk mengetahui karakter music tersebut. Sementara perkembangan musik barat sudah sangat maju, musik timur, gamelan pada khususnya, masih mendapatkan stigma sebagai seni musik klasik dan terjebak dalam hal pelestarian seni tradisional, yang menghambat kreativitas untuk mengembangkan musik timur. Pengembangan mendalam musik timur diperlukan untuk membawa kembali kebesaran musik ini seperti yang ada di jamannya. Kami menerapkan pembuatan notasi musik guna memperluas pembelajaran bermain musik gamelan. Kami menggunakan Adaptive Cross Correlation (ACC). Percobaan menunjukkan metode yang diusulkan diberikan 2 - 7% untuk peningkatan kinerja gamelan nyata dibandingkan dengan metode konvensional. Dengan dimulainya riset dibidang musik gamelan, diharapkan pengembangan jenis musik ini dapat dilanjutkan seperti hubungan musik gamelan dengan musik barat, pembuatan musik gamelan elektronik, sehingga musik ini dapat mudah dibawa kemana saja sehingga menudahkan generasi muda untuk mempelajarinya. Kata kunci: Ekstraksi peralatan musik, model suara Saron, pergeseran frekuensi dasar, Cross Correlation. Abstract Exploration traditional music is necessary to know the characters of this music. While the development of western music is very fast, eastern music, such as gamelan, in particular, still have the stigma as the art of classical music and get caught up in terms of preservation of traditional arts, which inhibit creativity to develop the eastern music. Therefore, the development of in-depth research of eastern music is needed to bring back the greatness of this music like the one in its era.We apply the Adaptive Cross Correlation (ACC) method. Experiments show that the proposed method is given 2-7% for a real gamelan performance improvement compared to conventional methods. With the beginning of research in the field of gamelan music, the development is expected to continue this kind of music like gamelan music ties with western music, the manufacture of electronic gamelan, which can be easily taken and making it easier for young people to learn it. Key words: Extraction of Musical Instrument, Saron Spectral Density Model, The Pitch Shifting, Cross Correlation.
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (671.406 KB) | DOI: 10.11591/ijece.v9i3.pp1700-1710


Impulsive spikes often occur in audio recording of gamelan where most existing methods reduce it. This research offers new method to enhance audio impulsive spike in gamelan music that is able to reduce, eliminate and even strengthen spikes. The process separates audio components into harmonics and percussive components. Percussion component is set to rise or lowered, and the results of the process combined with harmonic components again. This study proposes a new method that allows reducing, eliminating and even amplifying the spike. From the similarity test using the Cosine Distance method, it is seen that spike enhancement through Harmonic Percussive Source Separation (HPSS) has an average Cosine Distance value of 0.0004 or similar to its original, while Mean Square Error (MSE) has an average value of 0.0004 that is very small in average error and also very similar. From the Perceptual Evaluation of Audio Quality (PEAQ) testing with Harmonic Percussive Source Separation (HPSS), it has a better quality with an average Objective Difference Grade (ODG) of -0.24 or Imperceptible.