Articles
<![CDATA[Sebuah Prototipe Modul Pengamatan Sinyal Dalam Domain Waktu Dan Frekuensi Secara Real Time Untuk Praktikum Pengolahan Sinyal Digital ]]>
<![CDATA[Tri Budi Santoso, ]]>;
<![CDATA[Hary Octavianto, ]]>
<![CDATA[ Teknika Vol 8, No 1 (2007) ]]>
Publisher : <![CDATA[Teknika ]]>
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<![CDATA[Sebuah prototype system pengolahan sinyal digital menggunakan TMS32C5402 yang didukung bahasa C disajikan pada paper ini. Prototipe ini sebagai sebuah educational tool dalam proses pembelajaran konsep pengolahan sinyal digital dan merealisasikannya secara real time. Pembentukan modul iperangkat lunak berbasis bahasa C yang sudah terintegrasi dalam paket DSP starter kit (DSK). Proses compiling, assembling dan downloading dilakukan secara otomatis ke board TMS32C5402.
In this paper is presented a prototype of DSP system that use TMS 32C4502 and C language. The prototype is an educational tool to learn concept of DSP and to implement in real time. The module is integrated with C language in DSP starter kit. Compiling, assembling and downloading process are done automatically in board TMS32C4502.]]>
<![CDATA[Pemanfaatan Teknik Voice Activity Detection Untuk Mengamati Prosentase Pendudukan Sinyal Wicara Pada Saluran Telephon ]]>
<![CDATA[Rena Widyaningtyas, ]]>;
<![CDATA[Mike Yuliana, ]]>;
<![CDATA[Tri Budi Santoso, ]]>;
<![CDATA[Titon Dutono, ]]>
<![CDATA[ Teknika Vol 9, No 2 (2008) ]]>
Publisher : <![CDATA[Teknika ]]>
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<![CDATA[Dalam penelitian ini dilakukan sebuah pengamatan nilai prosentase pendudukan sinyal wicara pada saluran telephon. Kondisi voice ditandai sebagai suatu kondisi di mana terdapat sinyal wicara yang terdeteksi oleh sistem. Kondisi silent dapat diartikan sebagai sebuah kondisi di mana tidak ada sinyal wicara yang menduduki sistem. Penentuan kapan kondisi voice atau silent dapat dilakukan dengan teknik voice activity detection (VAD). Sinyal wicara yang melalui jalur telephon disampel dan disusun dalam bentuk frame. Proses penghitungan energi pada setiap frame untuk penentuan kondisi voice atau silent dengan memanfaatkan short term energy (STE) dengan level standar dari ambang pendengaran. Hasil penghitungan ini dikombinasikan dengan proses pitch detection untuk menentukan kondisi voice atau bukan (silent). Berapa besar prosentase nilai voice dari total waktu yang digunakan akan menentukan prosentase pendudukan sinyal wicara pada saluran telephon. Hasil akhir dari penelitian ini berupa prosentase kondisi voice atau bukan voice (silent). Dari hasil ini dapat diketahui karakteristik penggunaan sinyal wicara pada saluran telephon kurang lebih 35.06% untuk pembicara perempuan dan 26,6% untuk pembicara laki-laki. Dengan demikian akan memungkinkan prosentase saluran tanpa ada sinyal wicara bisa digunakan untuk keperluan transmisi data yang lain.
This paper described an observation of the percentage of speech signal occupation on the telephone line. The voice signal was signed by the condition where the speech signals detected by the system. The silent condition was defined by the condition where the speech signals did not detected by the system. The decision when the voice or silent was happened can do by using voice activity detection (VAD) technique. Speech signal through telephone line was sampled and framed. Short term energy (STE) computation based on standard energy threshold of hearing, for each frame for make a decision when the voice or silent happened. The total value of voice compare the total duration of occupation the talking time is used as the percentage of voice occupation on the telephone line. The result of the experiment indicated that the characteristics of speech occupation in the telephone line did not more than 35.06% for female speaker and 26.60% for male speaker. Based on this real condition of the telephone line, we can see there were opportunities for other utilization, especially for data transmission. ]]>
<![CDATA[Simulasi Coverage Pada Wireless Sensor Network Dengan Menggunakan Algoritma Genetika Pareto ]]>
<![CDATA[Umi Fitria P, ]]>;
<![CDATA[Tri Budi Santoso, ]]>;
<![CDATA[Prima Kristalina, ]]>
<![CDATA[ Teknika Vol 10, No 2 (2009) ]]>
Publisher : <![CDATA[Teknika ]]>
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<![CDATA[Wireless Sensor Network (WSN) adalah suatu jaringan wireless yang tediri dari beberapa sensor node yang saling berkomunikasi dan bekerja sama untuk mengumpulkan data- data dari lingkungan sekitar. Salah satu masalah yang dihadapi dalam merancang suatu sistem WSN ini adalah masalah coverage area. Pada paper ini akan disajikan suatu simulasi coverage area suatu WSN dengan menggunakan metode algoritma genetika yang dikombinasikan dengan pareto. Dengan menggunakan metode ini, akan diobservasi bagaimana kinerja coverage area suatu WSN pada suatu service area, dengan jumlah sensor yang terbatas harus dapat mengcover area secara optimum dan tentunya dengan biaya yang minimal. Hasil dari paper ini adalah bahwa suatu algoritma genetika sudah mampu menunjukkan kinerja pencapaian coverage terbaik dari keempat individu sebesar 92.69 % dengan biaya sebesar $ 3150.
Wireless Sensor Network (WSN) was a wireless network consisting of several sensor nodes that communicate with each other and work together to collect data from neighborhood. One of the problems encountered in designing a WSN system is the problem of coverage area. In this paper will be presented a simulation of the coverage area of a WSN by using the method genetic algorithms combined with the pareto. Using this method, will be observed how the performance of coverage area an WSN in a service area, with a limited number of sensors must be able cover the area optimally and certainly with a a minimal cost.The result of this paper was a genetic algorithm has been able to demonstrate achievement of the performance of the best coverage from the four individuals of 92.69% at a cost of $ 3150.]]>
<![CDATA[Analysis of Channel Coding Performance in OFDMTechnique for Underwater Acoustic Communication System ]]>
<![CDATA[Alhamidi, Machmud Roby]]>;
<![CDATA[Puja Astawa, I Gede]]>;
<![CDATA[Santoso, Tri Budi]]>
<![CDATA[ EMITTER International Journal of Engineering Technology Vol 1, No 1 (2013) ]]>
Publisher : <![CDATA[Politeknik Elektronika Negeri Surabaya (PENS) ]]>
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<![CDATA[One way to increase the performance of Orthogonal Frequency Division Multiplexing System (OFDM) system is by adding a channel coding (error correction code) in order to detect and correct errors that occur when sending data.At communication of acoustic underwater channel coding is required because of the characteristics of the channel bottom water is much different compared with the air channel and errors are likely to occur.In this research it was made simulation of acoustic underwater communication system with OFDM applied channel codingin which using Hamming code (7,4) and Hamming code (15,11) that is able to correct one error and detect two errors then BCH code capable to correct two errors for BCH (15,7) and correct 9 errors forBCH (127,64) and Reed Solomon code able to correct two errors for RS (15,11) and correct 8 errors for RS (31,15). Results of the study confirm the better performance when system usesOFDM with BCH Code (127.64) than other codes that are used, starting from 1 decibel (dB) to 3 dB for the performance of BER as10 -3 on Additive Gaussian White Noise (AWGN) channel while at the multipath channel, the performance of Bit Error Rate (BER) got better result on 1 dB up to 8 dB for BER performance as10 -3.Keyword: Underwater, Orthogonal Frequency Division Multiplexing (OFDM), channel coding]]>
<![CDATA[Performance Evaluation of DCT And Wavelet Coding of Image Transmission By Using of DM Technique Over Topical Shallow-Water Environment ]]>
<![CDATA[Nilasari, Sendi Eka]]>;
<![CDATA[Puja Astawa, I Gede]]>;
<![CDATA[Santoso, Tri Budi]]>
<![CDATA[ EMITTER International Journal of Engineering Technology Vol 1, No 1 (2013) ]]>
Publisher : <![CDATA[Politeknik Elektronika Negeri Surabaya (PENS) ]]>
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<![CDATA[Image transmission over under water acoustic channel is one of research trends that were developed to support under ocean environment monitoring. The result of study about the source coding performance for image transmission over underwater acoustic channel over tropical shallow-water environment is presented in this paper. By using the discrete cosine transform (DCT) and wavelet coding, image file was compressed and converted into binary data sequence. Transmission process was conducted with multicarrier OFDM system over under water acoustic channel. An evaluation has been implemented on base band scale by adopting channel model of previous research. With the DCT technique at Eb/No 20 dB was achieved the value of PNSR 12.69 dB, and bit error 0.0025. While by using the wavelet technique, at same Eb/No value, achieved the value of PSNR at 21.38 dB and bit error rate 0.0022. The performance evaluation also conducted visually and showing similar trend as simulation result by using pseudo random data.Keywords: DCT, wavelet, OFDM, underwater acoustic.]]>
<![CDATA[Ambient Noise Characterization of Shallow Water Environment ]]>
<![CDATA[Santoso, Tri Budi]]>
<![CDATA[ EMITTER International Journal of Engineering Technology Vol 3, No 2 (2015) ]]>
Publisher : <![CDATA[Politeknik Elektronika Negeri Surabaya (PENS) ]]>
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<![CDATA[Understanding of environmental characteristic is a key factor in design of communication system. This paper describes an ambient noise characterization of measurement in the shallow water ofSurabaya bay. The result showed that probability density function (pdf) of ambient noise is close to a Gaussian distribution with the mean of -2.85x10-5 and deviation standard of 9.87x10-4. Validation has been done by using mean square error (MSE) and Bhattacharya distance. Fitting between cdf of measurement result and theory was done by using MSE with the value of and Kolmogorov Smirnov test with the value of 3.9x10-4 and 4.9x10-2 respectively. In the frequency domain analysis, it is showed that in the range of 0 ~ 9 kHz has a deceasing level from -100 until -140 dB. In the frequency of 9 ~ 13.5 kHz, the spectral is flat as like a white. It can be used as a reference in decision of range frequency of underwater acoustic communication systems that will be applied.Keywords: ambient noise, statistical characteristics, underwater acoustic.]]>
<![CDATA[Performance Evaluation of DCT And Wavelet Coding of Image Transmission By Using of DM Technique Over Topical Shallow-Water Environment ]]>
<![CDATA[Nilasari, Sendi Eka]]>;
<![CDATA[Puja Astawa, I Gede]]>;
<![CDATA[Santoso, Tri Budi]]>
<![CDATA[ EMITTER International Journal of Engineering Technology Vol 1, No 1 (2013) ]]>
Publisher : <![CDATA[Politeknik Elektronika Negeri Surabaya (PENS) ]]>
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DOI: 10.24003/emitter.v1i1.3
<![CDATA[Image transmission over under water acoustic channel is one of research trends that were developed to support under ocean environment monitoring. The result of study about the source coding performance for image transmission over underwater acoustic channel over tropical shallow-water environment is presented in this paper. By using the discrete cosine transform (DCT) and wavelet coding, image file was compressed and converted into binary data sequence. Transmission process was conducted with multicarrier OFDM system over under water acoustic channel. An evaluation has been implemented on base band scale by adopting channel model of previous research. With the DCT technique at Eb/No 20 dB was achieved the value of PNSR 12.69 dB, and bit error 0.0025. While by using the wavelet technique, at same Eb/No value, achieved the value of PSNR at 21.38 dB and bit error rate 0.0022. The performance evaluation also conducted visually and showing similar trend as simulation result by using pseudo random data.Keywords: DCT, wavelet, OFDM, underwater acoustic.]]>
<![CDATA[Ambient Noise Characterization of Shallow Water Environment ]]>
<![CDATA[Santoso, Tri Budi]]>
<![CDATA[ EMITTER International Journal of Engineering Technology Vol 3, No 2 (2015) ]]>
Publisher : <![CDATA[Politeknik Elektronika Negeri Surabaya (PENS) ]]>
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DOI: 10.24003/emitter.v3i2.47
<![CDATA[Understanding of environmental characteristic is a key factor in design of communication system. This paper describes an ambient noise characterization of measurement in the shallow water ofSurabaya bay. The result showed that probability density function (pdf) of ambient noise is close to a Gaussian distribution with the mean of -2.85x10-5 and deviation standard of 9.87x10-4. Validation has been done by using mean square error (MSE) and Bhattacharya distance. Fitting between cdf of measurement result and theory was done by using MSE with the value of and Kolmogorov Smirnov test with the value of 3.9x10-4 and 4.9x10-2 respectively. In the frequency domain analysis, it is showed that in the range of 0 ~ 9 kHz has a deceasing level from -100 until -140 dB. In the frequency of 9 ~ 13.5 kHz, the spectral is flat as like a white. It can be used as a reference in decision of range frequency of underwater acoustic communication systems that will be applied.Keywords: ambient noise, statistical characteristics, underwater acoustic.]]>
<![CDATA[Analysis of Channel Coding Performance in OFDM Technique for Underwater Acoustic Communication System ]]>
<![CDATA[Alhamidi, Machmud Roby]]>;
<![CDATA[Puja Astawa, I Gede]]>;
<![CDATA[Santoso, Tri Budi]]>
<![CDATA[ EMITTER International Journal of Engineering Technology Vol 1, No 1 (2013) ]]>
Publisher : <![CDATA[Politeknik Elektronika Negeri Surabaya (PENS) ]]>
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DOI: 10.24003/emitter.v1i1.5
<![CDATA[One way to increase the performance of Orthogonal Frequency Division Multiplexing System (OFDM) system is by adding a channel coding (error correction code) in order to detect and correct errors that occur when sending data.At communication of acoustic underwater channel coding is required because of the characteristics of the channel bottom water is much different compared with the air channel and errors are likely to occur.In this research it was made simulation of acoustic underwater communication system with OFDM applied channel codingin which using Hamming code (7,4) and Hamming code (15,11) that is able to correct one error and detect two errors then BCH code capable to correct two errors for BCH (15,7) and correct 9 errors forBCH (127,64) and Reed Solomon code able to correct two errors for RS (15,11) and correct 8 errors for RS (31,15). Results of the study confirm the better performance when system usesOFDM with BCH Code (127.64) than other codes that are used, starting from 1 decibel (dB) to 3 dB for the performance of BER as10 -3 on Additive Gaussian White Noise (AWGN) channel while at the multipath channel, the performance of Bit Error Rate (BER) got better result on 1 dB up to 8 dB for BER performance as10 -3.Keyword: Underwater, Orthogonal Frequency Division Multiplexing (OFDM), channel coding]]>
<![CDATA[Underwater Acoustic Channel Characterization of Shallow Water Environment ]]>
<![CDATA[Santoso, Tri Budi]]>;
<![CDATA[Widjiati, Endang]]>;
<![CDATA[Wirawan, Wirawan]]>;
<![CDATA[Hendrantoro, Gamantyo]]>
<![CDATA[ EMITTER International Journal of Engineering Technology Vol 6, No 1 (2018) ]]>
Publisher : <![CDATA[Politeknik Elektronika Negeri Surabaya (PENS) ]]>
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DOI: 10.24003/emitter.v6i1.243
<![CDATA[Understanding of channel propagation characteristics is a key to the optimal design of underwater acoustic communication. Generally, modelling of underwater acoustic channel is performed based on measurement result in certain site at certain times. Different sites might have different characteristics, each of which can generally be described by a model obtained by averaging measurement results at multiple points in the same environment. This paper describes a characterization of the underwater acoustic channel of tropical shallow water in a Mangrove estuary, which has sediment up to 60 cm at the bottom. Such a channel model is beneficial for the design of communication system in an autonomous underwater vehicle, for instance. The measurement result of delay spread parameter from three different points with the distance of 14 ~ 52 m, has various values. The root mean square (RMS) of delay spread ranges between 0.0621 ~ 0.264 ms, and the maximum delay spread varies with the value of 0.187 ~ 1.0 ms. The pdf fitting shows that Rayleigh distribution describes the fading variation more accurately than Nakagami and Ricean.]]>
