Tri Budi Santoso
Politeknik Elektronika Negeri Surabaya

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PROTOTIPE MODUL PENGAMATAN SINYAL DOMAIN WAKTU DAN FREKUENSI SECARA REAL TIME UNTUK PRAKTIKUM PENGOLAHAN SINYAL DIGITAL Tri Budi Santoso; Hary Octavianto; Titon Dutono
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 3, No 3: December 2005
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v3i3.1229

Abstract

Sebuah prototipe sistem 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 perangkat lunak berbasis bahasa C sudah terintegrasi dalam paket DSP starter kit (DSK). Proses compiling, assembling dan downloading dilakukan secara otomatis ke board TMS32C5402.
Performance Evaluation of DCT And Wavelet Coding of Image Transmission By Using of DM Technique Over Topical Shallow-Water Environment Sendi Eka Nilasari; I Gede Puja Astawa; Tri Budi Santoso
EMITTER International Journal of Engineering Technology Vol 1 No 1 (2013)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v1i1.3

Abstract

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.
Ambient Noise Characterization of Shallow Water Environment Tri Budi Santoso
EMITTER International Journal of Engineering Technology Vol 3 No 2 (2015)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (365.628 KB) | DOI: 10.24003/emitter.v3i2.47

Abstract

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.
FENOMENA SPORADIC E FREKUENSI 5.2 MHZ PADA KONDISI SOLAR MINIMUM TAHUN 2019 Zulmi Zakariyah; Titon Dutono; Tri Budi Santoso; Bustamir Arif
KLIK- KUMPULAN JURNAL ILMU KOMPUTER Vol 7, No 2 (2020)
Publisher : Lambung Mangkurat University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/klik.v7i2.314

Abstract

High Frequency (HF) Communication is very dependent on the condition of the ionosphere which changes conditions over time. 2019 is a year with minimum solar conditions marked by a lack of solar cold spots. This condition can cause interference with the propagation path of radio waves in the ionosphere. In this research, a report on HF wave propagation observations is presented using a retrospective method to determine the sporadic E intensity at minimum solar conditions. Data retrieval is done by beacon / sounding system between radio stations by using a low power signal processing software that is Weak Signal Propagation Report (WSPR). Observations were made by building 2 radio stations in Surabaya (7.30S, 112.78E) as transmitter and radio stations in Jombang (7.61S, 112.31E) as receiver. Observations were carried out for one year from November 2018 until October 2019. During the observation process, a frequency of 5.2 MHz is used and the results showed that there were several days that described a favorable phenomenon for HF communication at close range (below 500 km), namely Sporadic E. During the observation it was obtained 8 times the Sporadic E phenomenon that is quite long with a time span of occurrence between 1 hour to 3 hours. Overall observations show that in May to August is the time when most Sporadic E phenomena occur. So from this research, it can be concluded that the sporadic E phenomenon can still occur when the sun enters the minimum solar conditions.Keywords: HF, Solar Minimum, Ionospher, Sporadic E Komunikasi High Frequency (HF) sangat bergantung pada kondisi ionosfer yang mengalami perubahan kondisi dari waktu ke waktu. Tahun 2019 merupakan tahun dengan kondisi solar minimum yang ditandai dengan minimnya nilai titik dingin matahari. Kondisi ini dapat mengakibatkan gangguan pada jalur propagasi gelombang radio di lapisan ionosfer. Pada penelitian ini, disajikan laporan pengamatan propagasi gelombang HF menggunakan metode retrospektif untuk mengetahui intensitas sporadic E saat kondisi solar minimum. Pengambilan data dilakukan dengan sistem beacon / sounding antar stasiun radio dengan memanfaatkan software pengolahan sinyal daya rendah yaitu Weak Signal Propagation Report (WSPR). Pengamatan dilakukan dengan membangun 2 stasiun radio yang berada di Surabaya (7.30S, 112.78E) sebagai pemancar dan stasiun radio di Jombang (7.61S, 112.31E) sebagai penerima. Pengamatan dilakukan selama satu tahun dari bulan November 2018 sampai dengan bulan Oktober 2019. Pada proses pengamatan digunakan frekuensi 5.2 MHz dan hasilnya menunjukkan terdapat beberapa hari yang menggambarkan fenomena menguntungkan untuk komunikasi HF jarak dekat (dibawah 500 km) yaitu Sporadic E. Selama pengamatan telah didapatkan 8 kali fenomena Sporadic E yang cukup lama dengan rentang waktu kejadian antara 1 jam hingga 3 jam. Secara keseluruhan hasil pengamatan menunjukkan bahwa pada bulan Mei hingga bulan Agustus merupakan waktu paling banyak terjadinya fenomena Sporadic E. Sehingga dari penelitian ini dapat disimpulkan bahwa fenomena sporadic E masih bisa terjadi ketika matahari memasuki kondisi solar minimum.Kata kunci: HF, Solar Minimum, Ionosfer, Sporadic E
Implementasi Metode LightGBM Untuk Klasifikasi Kondisi Abnormal Pada Pengemudi Sepeda Motor Berbasis Sensor Smartphone R Rizki Rachmadi; Amang Sudarsono; Tri Budi Santoso
Jurnal Komputer Terapan  Vol. 7 No. 2 (2021): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (399.912 KB) | DOI: 10.35143/jkt.v7i2.5164

Abstract

Traffic accident is one of the most significant contributors which makes the death number is increasing around the world. With the demographic condition from Indonesia, motorcycle driver is the types of the driver that dominated the traffic, therefore increasing the probability of caught in a traffic accident The existing Vehicle Activity Detection System (VADS) mainly focused on the car driver, with the main problem is that the computational time from the system is too high to be implemented on a real-time condition. To solve this problem, in this research, a classification system for abnormal driving behavior from motorcycle drivers is created, using Light Gradient Boosting Machine (LightGBM) model. The system is designed to be lightweight in computation and very fast in response to the changes of the activities with a high velocity. To train the LightGBM model, the data from Accelerometer and Gyroscope sensor, that has been integrated into a smartphone, will be used to detect the movement from a driver. The accuracy rate from the proposed model is reaching 82% on the test dataset and shows a promising result of around 70% on the real-time detection process. With a computational time of around 10ms, the proposed system is able to work 5 times faster than the existing system.
Pemodelan Non-uniform Coded-Modulation pada Kanal Akustik Bawah Air di Lingkungan Perairan Dangkal Sholihah Ayu Wulandari; Tri Budi Santoso; I Gede Puja Astawa; Muhamad Milchan
INOVTEK POLBENG Vol 9, No 1 (2019): INOVTEK VOL.9 NO 1 - 2019
Publisher : POLITEKNIK NEGERI BENGKALIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (423.219 KB) | DOI: 10.35314/ip.v9i1.890

Abstract

In this paper, presented an OFDM performance evaluation with the Non-uniform Coded-Modulation in the underwater acoustic channel in shallow water. A row of binary information is encoded by BCH code (7.4) for error correction and combined with Non-uniform modulation which is the result of modification of the subcarrier arrangement of the OFDM standard IEEE 802.11a. Modeling uses 52 subcarriers consisting of 4 pilots and 48 subcarrier data which are divided into three parts, i.e.: 24 subcarrier data with 16-Quadrature Amplitude Modulation (16-QAM) modulation, 12 subcarrier data with Quadrature phase-shift keying (QPSK) modulation and 12 other data subcarriers with Binary key-shift keying (BPSK) modulation. The channel type used describes the Additive White Gaussian Noise (AWGN) condition and is the result of measurement data. The analysis is done in terms of Signal-to-Noise-Ratio (SNR) and Bit Error Rate (BER) show that the value of the error rate of 0.001, modulation of BPSK, QPSK, 16-QAM, and Non-uniform modulation required the power each 5 dB, 8.5 dB, 10.3 dB, and 7.9 dB. However, the proposed system is able to suppress the required power up to 6 dB. The proposed system also shows better performance than fixed modulation and Non-uniform Modulation, which in this case with low power to achieve the same error rate. In addition, the proposed system has a coding gain of 1.9 dB compared to a non-uniform modulation system. Real testing is also done with measurement data at Mangrove estuary, Surabaya. The results show performance similar to simulations performed on Gaussian noise channels.
MEMBANGUN MODUL PEMBELAJARAN PENGOLAHAN SINYAL PADA PLATFORM MINI PC Tri Budi Santoso
INOVTEK POLBENG Vol 9, No 2 (2019): INOVTEK VOL.9 NO 2 - 2019
Publisher : POLITEKNIK NEGERI BENGKALIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (745.36 KB) | DOI: 10.35314/ip.v9i2.1034

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Pada makalah ini diusulkan suatu model pembelajaran di laboratorium untuk mata kuliah pengolahan sinyal dengan memanfaatkan platform Mini PC, yang dalam hal ini adalah Raspberry pi. Strategi ini dipilih dengan tujuan untuk mengurangi kesenjangan yang sering terjadi di dalam proses pembelajaran dan memanfaatkan trend teknologi device yang semakin mudah diperoleh dengan harga terjangkau. Ada tiga modul yang disajikan, yang pertama adalah perancangan filter digital, yang kedua adalah prediksi voice-unvoice, dan yang ketiga adalah estimasi nilai pitch frekuensi.  Modul yang dibangun diharapkan dapat membantu proses pemahaman sistem pengolahan sinyal, yang pada umumnya sering ditemui jika hanya menggunakan metode pendekatan matematik atau model simulasi perangkat lunak.
Mekanisme Peningkatan Reciprocity Channel Probing pada LoRaWAN Menggunakan Savitzky Golay Filter Nurul Istiqomah; Mike Yuliana; Tri Budi Santoso
Jurnal Komputer Terapan  Vol. 8 No. 1 (2022): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (397.249 KB) | DOI: 10.35143/jkt.v8i1.5319

Abstract

Pada komunikasi Wireless seperti LoRa perlu adanya pembangkitan kunci untuk pengamanan data. Hal ini dilakukan agar data yang dikirimkan tidak mudah di serang oleh attacker. Salah satu cara mendapatkan kunci yang tepat adalah dengan pengkondisian nilai koefisien korelasi RSSI yang tinggi. Pada penelitian ini dibuat sebuah sistem untuk meningkatkan Reciprocity Channel Probing agar didapatkan nilai koefisien korelasi yang tinggi. Sistem dirancang dengan menggunakan metode Savitzky Golay Filter. Pengujian dilakukan pada dua kondisi yaitu indoor dan outdoor, dan dengan menggunakan nilai Spreading Factor dari SF-7 sampai SF-10. Hasil koefisien korelasi pengukuran menunjukkan bahwa pada kondisi outdoor lebih baik dibandingkan kondisi indoor. Nilai koefisien korelasi pengukuran tertinggi pada kondisi indoor yaitu 0.51 saat SF-10. Sedangkan pada kondisi outdoor nilai koefisien korelasi pengukuran tertinggi yaitu 0.81 saat SF-7. Metode Savitzky Golay Filter mampu meningkatkan koefisien korelasi sampai dengan 67.52% pada pengujian indoor. Rata-rata persentase kenaikan pada kondisi indoor yaitu lebih dari 30% dan kondisi outdoor lebih dari 15%. Dari hasil tersebut dapat diketahui bahwa metode Savitzky Golay Filter cocok digunakan untuk tahap pra proses karena mampu meningkatkan nilai koefisien korelasi secara signifikan.
Identifikasi Jenis Kelamin Secara Real Time Berdasarkan Suara Pada Raspberry Pi Mirza Ardiana; Titon Dutono; Tri Budi Santoso
Jurnal Komputer Terapan  Vol. 8 No. 1 (2022): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (264.461 KB) | DOI: 10.35143/jkt.v8i1.5320

Abstract

The voice of each speaker has a unique specific character, influenced by gender, age, emotion, dialect, etc. The use of voice-based gender identification is growing rapidly, such as in the fields of security systems, speech recognition, artificial intelligence, etc. However, in speech processing, there are difficulties where the characteristics of the speech signal based on increasing age are difficult to determine accuracy, and there are overlapping fundamental frequency values between males and females. In this research, modeling of a gender identification system based on voice in real-time has been carried out on a Raspberry Pi device. This system is implemented by 2 methods, namely the YIN algorithm and feature extraction of Mel-Frequency Cepstral Coefficient (MFCC). The test results showed that the success of identification in the tuning parameters of scheme two is better than the first scheme by narrowing the overlapping frequency parameters. In the female test data in the closed test, the accuracy is from 98% to 100%, then in the open test starts from 92% to 96%. Meanwhile, the test data for the male closed test increased from 92% to 98%, and the open test started at 90% and rose to 94%. It indicates that the data used in this research is more suitable to use the second scheme parameter tuning to increase the accuracy of the results.