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Jurnal Elektronika dan Telekomunikasi
Published by BRIN Publishing
ISSN : 14118289     EISSN : 25279955     DOI : https://doi.org/10.55981/jet.717
Core Subject :
Jurnal Elektronika dan Telekomunikasi (JET) aims to publish high-quality articles with a specific focus on the latest research and developments in the field of electronics, telecommunications, and microelectronics engineering. It will provide a platform for academicians, researchers and engineers to share their experience and solution to problems in different areas of electronics and telecommunication engineering.
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Articles 9 Documents
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Search results for , issue "vol. 17 no. 1 (2017)" : 9 Documents clear
Removable Watermarking Sebagai Pengendalian Terhadap Cyber Crime Pada Audio Digital Reyhani Lian Putri; Mona Renasari; Gelar Budiman
Jurnal Elektronika dan Telekomunikasi Vol. 17 No. 1 (2017)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v17.25-29

Abstract

Perkembangan teknologi informasi yang pesat menuntut penggunanya untuk lebih berhati-hati seiring semakin meningkatnya cyber crime.Banyak pihak telah mengembangkan berbagai teknik perlindungan data digital, salah satunya adalah watermarking. Teknologi watermarking berfungsi untuk memberikan identitas, melindungi, atau menandai data digital, baik audio, citra, ataupun video, yang mereka miliki. Akan tetapi, teknik tersebut masih dapat diretas oleh oknum-oknum yang tidak bertanggung jawab.Pada penelitian ini, proses watermarking diterapkan pada audio digital dengan menyisipkan watermark yang terdengar jelas oleh indera pendengaran manusia (perceptible) pada audio host.Hal ini bertujuan agar data audio dapat terlindungi dan apabila ada pihak lain yang ingin mendapatkan data audio tersebut harus memiliki “kunci” untuk menghilangkan watermark. Proses removable watermarking ini dilakukan pada data watermark yang sudah diketahui metode penyisipannya, agar watermark dapat dihilangkan sehingga kualitas audio menjadi lebih baik. Dengan menggunakan metode ini diperoleh kinerja audio watermarking pada nilai distorsi tertinggi dengan rata-rata nilai SNR sebesar7,834 dB dan rata-rata nilai ODG sebesar -3,77.Kualitas audio meningkat setelah watermark dihilangkan, di mana rata-rata SNR menjadi sebesar 24,986 dB dan rata-rata ODG menjadi sebesar -1,064 serta nilai MOS sebesar 4,40.
Analisa Kinerja Teknik Modulasi Digital pada Kanal Optik Nirkabel Dwi Astharini; Ary Mayola; Octarina Nur Samijayani; Ary Syahriar
Jurnal Elektronika dan Telekomunikasi Vol. 17 No. 1 (2017)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v17.7-12

Abstract

Transmisi optik nirkabel dengan kecepatan tinggi memiliki berbagai potensi untuk aplikasi jarak pendek terutama untuk komunikasi di dalam ruangan. Tulisan ini memaparkan perbandingan kinerja transmisi FSO menggunakan beberapa variasi skema modulasi. Pengamatan unjuk kinerja terutama dilakukan menggunakan bit error rate (BER). Gangguan turbulensi atmorferik menjadi bagian dari pemodelan kanal log normal yang digunakan dalam simulasi. Modulasi dasar spasial yang digunakan adalah on-off keying sebagai teknik klasik FSO, beserta pulse position modulation yang merupakan variasi spasialnya. Menelaah penggunaan modulasi baseband untuk sistem optik, disimulasikan PSK 2, 4, 8, 16, serta QAM 4 dan 16. Simulasi dengan data ukuran kecil menghasilkan bahwa BPSK dan 4 QAM menunjukkan unjuk kerja terbaik dengan BER rata-rata sekitar 10^-3 pada kondisi gangguan sedang sampai tinggi. Sementara tingkat error pada OOK dan PPM masih di atas 10^-0.5.
Comparison of Wavelet Family Performances in ECG Signal Denoising Octa Heriana; Ali Matooq Al Misbah
Jurnal Elektronika dan Telekomunikasi Vol. 17 No. 1 (2017)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v17.1-6

Abstract

The heart is considered the most important organ of our body that controls the circulation of blood throughout the body. Measured heartbeat signals can be further analyzed in order to know the health condition of a person. The challenge of ECG signal measurement and analysis is how to remove the noises imposed on the signal that is interfered from many different sources, such as internal noise in sensor devices, power line interference, muscle activity, and body movements. This paper implemented wavelet transform to reduce the noise imposed on the ECG signal to get a closely actual heart signal. ECG data used in this research are three digitized recorded ECG data obtained from MIT-BIH Arrhythmia Database. The first step is generating the noisy ECG signal as the input system by adding 1W WGN signal into the original ECG signal. Then DWT is applied to extract the noisy ECG signal. Some DWT’s parameters, threshold selection (rule, type, rescaling), decomposition level, and desired wavelet family are varied to get the best denoised output signal. All results are recorded to be compared. Based on the results, the best DWT parameter for ECG signal denoising is obtained by Symlet wavelet when the decomposition level is set to 3, with soft thresholding, in rigrsure thresholding rule.
Fabrication of Hybrid Polymer Solar Cells By Inverted Structure Based on P3HT:PCBM Active Layer Shobih Shobih; Rizky Abdillah; Erlyta Septa Rosa
Jurnal Elektronika dan Telekomunikasi Vol. 17 No. 1 (2017)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v17.13-18

Abstract

Hybrid polymer solar cell has privilege than its conventional structure, where it usually has structure of (ITO/PEDOT:PSS/Active Layer/Al). In humid environment the PEDOT:PSS will absorb water and hence can easily etch the ITO. Therefore it is necessary to use an alternative method to avoid this drawback and obtain more stable polymer solar cells, namely by using hybrid polymer solar cells structure with an inverted device architecture from the conventional, by reversing the nature of charge collection. In this paper we report the results of the fabrication of inverted bulk heterojunction polymer solar cells based on P3HT:PCBM as active layer, utilizing ZnO interlayer as buffer layer between the ITO and active layer with a stacked structure of ITO/ZnO/P3HT:PCBM/PEDOT:PSS/Ag. The ZnO interlayer is formed through short route, i.e. by dissolving ZnO nanoparticles powder in chloroform-methanol solvent blend rather than by sol-gel process. Based on the measurement results on electrical characteristics of inverted polymer solar cells under 500 W/m2 illumination and AM 1.5 direct filter at room temperature, cell with annealing process of active layer at 110 °C for 10 minutes results in higher cell performance than without annealing, with an open-circuit voltage of 0.21 volt, a short-circuit current density of 1.33 mA/cm2 , a fill factor of 43.1%, and a power conversion efficiency of 0.22%. The low cell’s performance is caused by very rough surface of ZnO interlayer.
Classification of Radar Environment Using Ensemble Neural Network with Variation of Hidden Neuron Number Budiman Putra Asmaur Rohman; Dayat Kurniawan
Jurnal Elektronika dan Telekomunikasi Vol. 17 No. 1 (2017)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v17.19-24

Abstract

Target detection is a mandatory task of radar system so that the radar system performance is mainly determined by its detection rate. Constant False Alarm Rate (CFAR) is a detection algorithm commonly used in radar systems. This method is divided into several approaches which have different performance in the different environments. Therefore, this paper proposes an ensemble neural network based classifier with a variation of hidden neuron number for classifying the radar environments. The result of this research will support the improvement of the performance of the target detection on the radar systems by developing such an adaptive CFAR. Multi-layer perceptron network (MLPN) with a single hidden layer is employed as the structure of base classifiers. The first step of this research is the evaluation of the hidden neuron number giving the highest accuracy of classification and the simplicity of computation. According to the result of this step, the three best structures are selected to build an ensemble classifier. On the ensemble structure, all of those three MLPN outputs then be collected and voted for getting the majority result in order to decide the final classification. The three possible radar environments investigated are homogeneous, multiple-targets and clutter boundary. According to the simulation results, the ensemble MLPN provides a higher detection rate than the conventional single MLPNs. Moreover, in the multiple-target and clutter boundary environments, the proposed method is able to show its highest performance.
Front Cover Vol. 17 No. 1 I Dewa Putu Hermida
Jurnal Elektronika dan Telekomunikasi Vol. 17 No. 1 (2017)
Publisher : National Research and Innovation Agency

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Back Cover Vol. 17 No. 1 I Dewa Putu Hermida
Jurnal Elektronika dan Telekomunikasi Vol. 17 No. 1 (2017)
Publisher : National Research and Innovation Agency

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Appendix Vol. 17 No. 1 I Dewa Putu Hermida
Jurnal Elektronika dan Telekomunikasi Vol. 17 No. 1 (2017)
Publisher : National Research and Innovation Agency

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Preface Vol. 17 No. 1 I Dewa Putu Hermida
Jurnal Elektronika dan Telekomunikasi Vol. 17 No. 1 (2017)
Publisher : National Research and Innovation Agency

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