cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Dayat Kurniawan
Contact Email
Dayat Kurniawan
Phone
-
Journal Mail Official
redaksi@jurnalet.com
Editorial Address
-
Location
Kota adm. jakarta selatan,
Dki jakarta
INDONESIA
Jurnal Elektronika dan Telekomunikasi
Published by Lembaga Ilmu Pengetahuan Indonesia
ISSN : 14118289     EISSN : 25279955     DOI : -
Core Subject : Engineering,
Electrical & Electronics Engineering Engineering
Jurnal Elektronika dan Telekomunikasi (JET) is an open access, a peer-reviewed journal published by Research Center for Electronics and Telecommunication - Indonesian Institute of Sciences. We publish original research papers, review articles and case studies on the latest research and developments in the field of electronics, telecommunications, and microelectronics engineering. JET is published twice a year and uses double-blind peer review. It was first published in 2001.
Arjuna Subject : -
Articles 470 Documents
 15   16   17   18   19 
VOL. 12 NO. 1 Elektronika dan Telekomunikasi, Jurnal
Jurnal Elektronika dan Telekomunikasi Vol 01-12 (Printed Issues)
Publisher : Indonesian Institute of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Table of Content: Absorpsi Gelombang Mikro oleh Bahan Magnetik SrO.6FeMn0.5Ti0.5O3 pada Rentang Frekuensi 9-15 GHz   [1 - 6]  ? Asep Yudi Hercuadi, Mashury, Wisnu Ari AdiApplication of Pt Counter-Electrode on TCO-free Substrates for Dye-Sensitized Solar Cells  [7 - 12]  ? Natalita M. Nursam, Lia Muliani, Jojo HidayatDevelopment of a Remote Access System for Radar Network  [13 - 18]  ? Arief Nur Rahman, Mashury WahabInfluence of Texturing Processes on Quantum Efficiency of Solar Cell [19 - 23]  ? Shobih, P. Sagala, Erlyta S.RKarakterisasi Lapisan Platina Sputtering untukAplikasi Elektroda Pembanding pada Dye-Sensitized Solar Cell  [24 - 29]  ? Lia Muliani, Shobih, Jojo HidayatKarakterisasi Lapisan Tipis Pt dan Pd Hasil Sputtering Sebagai Doping Pada Lapisan Sensitif WO3   [30 - 34]  ? Lilis Retnaningsih, Erry Dwi KurniawanPembangkit Chirp WideBand Berbasis DDS dan VCO untuk Radar UWB   [35 - 41]  ? Purwoko Adhi, Asep Yudi HercuadiPembuatan PA Menggunakan Komponen SZA3044 untuk CPE pada WIMAX  [42 - 45]  ? Yaya Sulaeman, Topik Teguh Estu, Tommy HendrikPenerapan DGS (Defected Ground Structure) Belah Ketupat pada Antena Mikrostrip dengan Frekuensi 3,3 GHz-3,4 GHz Menggunakan Pemodelan Rectangular  [46 - 52]  ? Sri Hardiati, Yuyu Wahyu, Yustandi AchmadPengembangan Antena Waveguide 8 Slot untuk Aplikasi Radar Pengawas Pantai  [53 - 57]  ? Fitri Yuli Zulkifli, Eko Tjipto Rahardjo, Ulil Ulya, Yuyu WahyuPerancangan LNA Pada Frekuensi 3,35 GHz Untuk Aplikasi Penerima WiMAX  [58 - 63]  ? Topik Teguh Estu, Syamsu Ismail, Yaya Sulaeman, Budi HerdianaPerformance Evaluation for a Ground-Based Radar  [64 - 70]  ? Mashury Wahab, Daday RuhiyatRancang Bangun Pembangkit Frekuensi Kristal 33.33 KHz untuk Frekuensi Pembawa pada Sistem Komunikasi Bawah Air  [71 - 77]  ? Deni Permana, Syamsu IsmailRancang Bangun Sistim Telemetri Gas Beracun Gunung Berapi Sebagai Peringatan Dini Untuk Menurunkan Resiko Bencana Pada Masyarakat Dan Lingkungan Sekitarnya  [78 - 83]  ? Tito Yuwono
Preface Vol. 20 No. 2 Chaeriah Bin Ali Wael
Jurnal Elektronika dan Telekomunikasi Vol 20, No 2 (2020)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Classification of Privacy Preserving Data Mining Algorithms: A Review Dedi Gunawan
Jurnal Elektronika dan Telekomunikasi Vol 20, No 2 (2020)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v20.36-46

Abstract

Nowadays, data from various sources are gathered and stored in databases. The collection of the data does not give a significant impact unless the database owner conducts certain data analysis such as using data mining techniques to the databases. Presently, the development of data mining techniques and algorithms provides significant benefits for the information extraction process in terms of the quality, accuracy, and precision results. Realizing the fact that performing data mining tasks using some available data mining algorithms may disclose sensitive information of data subject in the databases, an action to protect privacy should be taken into account by the data owner. Therefore, privacy preserving data mining (PPDM) is becoming an emerging field of study in the data mining research group. The main purpose of PPDM is to investigate the side effects of data mining methods that originate from the penetration into the privacy of individuals and organizations. In addition, it guarantees that the data miners cannot reveal any personal sensitive information contained in a database, while at the same time data utility of a sanitized database does not significantly differ from that of the original one. In this paper, we present a wide view of current PPDM techniques by classifying them based on their taxonomy techniques to differentiate the characteristics of each approach. The review of the PPDM methods is described comprehensively to provide a profound understanding of the methods along with advantages, challenges, and future development for researchers and practitioners.
Excitation Analysis of Transverse Electric Mode Rectangular Waveguide M. Reza Hidayat; Mohamad Hamzah Zamzam; Salita Ulitia Prini
Jurnal Elektronika dan Telekomunikasi Vol 20, No 1 (2020)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v20.1-8

Abstract

A waveguide is a transmission medium in the form of a pipe and is made from a single conductor. A waveguide has the function of delivering electromagnetic waves with a frequency of 300 MHz - 300 GHz and is able to direct the waves in a particular direction. In its development, a waveguide can be used as a filter. A filter consists of several circuits designed to pass signals that are generated at a specific frequency and attenuate undesired signals. One type of filter that can pass a signal in a particular frequency range and block signals that are not included in that frequency range is a bandpass filter. In this article, we study a rationing analysis on rectangular waveguide using TEmn mode followed by an implementation of a bandpass filter in the frequency range of 3.3-3.5 GHz for S-Band Wireless Broadband and Fixed Satellite. The observation process is done by shifting the position of the connector (power supply) as much as five times the shift to get the results as desired. Based on the analysis of the simulation process using Ansoft HFSS software, it is observed that the optimized results of the rectangular waveguide mode TE10 were obtained at a distance between connectors of 30 mm with a cut-off frequency of 3.3 GHz, the value of the return loss parameter of -34.442 dB and an insertion loss of -0.039 dB. Whereas, the optimized TE20 mode can be obtained at a distance of 70 mm between connectors, with a cut-off frequency of 3.5 GHz, the value of the return loss parameter of -28.718 dB and an insertion loss of -0.045. The measurement of TE10 mode in our Vector Network Analyzer (VNA) shows a cut-off frequency of 3.2 GHz, with a value of the return loss of -18.73 dB and an insertion loss of -2.70 dB. Meanwhile, a measurement of TE20 mode results in a cut-off frequency of 3.2 GHz, with a value of the return loss of -5.89 dB and an insertion loss of -4.31 dB.
BLDC Motor Control Optimization Using Optimal Adaptive PI Algorithm Supriyanto Praptodiyono; Hari Maghfiroh; Chico Hermanu
Jurnal Elektronika dan Telekomunikasi Vol 20, No 2 (2020)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v20.47-52

Abstract

The main problem of using a Proportional Integral (PI) Controller in Brushless Direct Current (BLDC) motor speed control is tuning the PI’s parameter and its performance cannot adapt to the system behavior changes. Particle Swarm Optimization (PSO) has been chosen to optimize the tuning. Fuzzy Logic Controller (FLC) is used to online tuning PI’s parameters to adapt to system conditions. Optimal adaptive PI, which combines the PSO method and FLC method to tune PI, is proposed. It was successfully implemented in the simulation environment. The test was carried out in three conditions: step responses, set-point changes, and disturbance rejection. The proposed algorithm is superior with no overshoot/undershoot. Whereas in terms of settling time is in between PI and PI-PSO. PI controller has the smallest control effort. However, the other parameter is the worst. PI-PSO is superior in terms of settling time and Integral of Absolute Error (IAE) except for the step response test. The proposed method has lower IAE and higher control effort by 78.73 % and 60 % compared to PI control. On the other hand, it has a higher IAE dan lower control effort by 11.82 % and 33.88 % compared to PI-PSO. Therefore, the optimal adaptive PI control can reduce energy consumption compared to optimal PI with better performance than PI control.
Front Cover Vol. 20 No. 1 Natalita Maulani Nursam
Jurnal Elektronika dan Telekomunikasi Vol 20, No 1 (2020)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Appendix Vol. 20 No. 2 Chaeriah Bin Ali Wael
Jurnal Elektronika dan Telekomunikasi Vol 20, No 2 (2020)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Parameter Estimation and Target Detection of Phased-MIMO Radar Using Capon Estimator Syahfrizal Tahcfulloh; Muttaqin Hardiwansyah
Jurnal Elektronika dan Telekomunikasi Vol 20, No 2 (2020)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v20.60-69

Abstract

Phased-Multiple Input Multiple Output (PMIMO) radar is multi-antenna radar that combines the main advantages of the phased array (PA) and the MIMO radars. The advantage of the PA radar is that it has a high directional coherent gain making it suitable for detecting distant and small radar cross-section (RCS) targets. Meanwhile, the main advantage of the MIMO radar is its high waveform diversity gain which makes it suitable for detecting multiple targets. The combination of these advantages is manifested by the use of overlapping subarrays in the transmit (Tx) array to improve the performance of parameters such as angle resolution and detection accuracy at amplitude and phase proportional to the maximum number of detectable targets. This paper derives a parameter estimation formula with Capon's adaptive estimator and evaluates it for the performance of these parameters. Likewise, derivation for expressions of detection performance such as the probability of false alarm and the probability of detection is also given. The effectiveness and validation of its performance are compared to conventional estimator for other types of radars in terms of the effect of the number of target angles, the RCS of targets, and variations in the number of subarrays at Tx of this radar. Meanwhile, the detection performance is evaluated based on the effect of Signal to Noise Ratio (SNR) and the number of subarrays at Tx. The evaluation results of the estimator show that it is superior to the conventional estimator for estimating the parameters of this radar as well as the detection performance. Having no sidelobe makes this estimator strong against the influence of interference and jamming so that it is suitable and attractive for the design of radar systems. Root mean square error (RMSE) on magnitude detection from LS and Capon estimators were 0.033 and 0.062, respectively. Meanwhile, the detection performance for this radar has the probability of false alarm above 10-4 and the probability of detection of more than 99%.
Data Augmentation using Adversarial Networks for Tea Diseases Detection R. Sandra Yuwana; Fani Fauziah; Ana Heryana; Dikdik Krisnandi; R. Budiarianto Suryo Kusumo; Hilman F. Pardede
Jurnal Elektronika dan Telekomunikasi Vol 20, No 1 (2020)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v20.29-35

Abstract

Deep learning technology has a better result when trained using an abundant amount of data. However, collecting such data is expensive and time consuming.  On the other hand, limited data often be the inevitable condition. To increase the number of data, data augmentation is usually implemented.  By using it, the original data are transformed, by rotating, shifting, or both, to generate new data artificially. In this paper, generative adversarial networks (GAN) and deep convolutional GAN (DCGAN) are used for data augmentation. Both approaches are applied for diseases detection. The performance of the tea diseases detection on the augmented data is evaluated using various deep convolutional neural network (DCNN) including AlexNet, DenseNet, ResNet, and Xception.  The experimental results indicate that the highest GAN accuracy is obtained by DenseNet architecture, which is 88.84%, baselines accuracy on the same architecture is 86.30%. The results of DCGAN accuracy on the use of the same architecture show a similar trend, which is 88.86%. 
Cooperative Game Theory Approach for Energy-Efficient Node Clustering in Wireless Sensor Network Chaeriah Bin Ali Wael; Nasrullah Armi; Arumjeni Mitayani; Suyoto Suyoto; Salita Ulitia Prini; Winy Desvasari; Rico Dahlan; Ros Sariningrum
Jurnal Elektronika dan Telekomunikasi Vol 20, No 2 (2020)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v20.76-81

Abstract

Energy consumption is one of the critical challenges in designing wireless sensor network (WSN) since it is typically composed of resource-constrained devices. Many studies have been proposed clustering to deal with energy conservation in WSN. Due to its predominance in coordinating the behaviors of many players, game theory has been considered for improving energy efficiency in WSN. In this paper, we evaluate the performance of cooperative game theoretic clustering (CGC) algorithm which employs cooperative game theory in a form of 3-agent cost sharing game for energy-efficient clustering in WSN. Furthermore, we compared its performance to a well-known traditional clustering method, low-energy adaptive clustering hierarchy (LEACH), in terms of network lifetime and stability, and total residual energy. The simulation results show that CGC has better performance compared to LEACH due to the cooperation among cluster heads in coalition. CGC has higher alive nodes with stability improvement of first node dies (FND) by 65%, and the improvement by 52.4% for half node dies (HND). However, with the increasing of the number of nodes, the performance of LEACH is getting better compared to CGC.

Page 17 of 47 | Total Record : 470

 15   16   17   18   19 

Filter by Year

2013 2025


Reset
Filter By Issues
All Issue Vol 25, No 2 (2025) Vol 25, No 1 (2025) Vol 24, No 2 (2024) Vol 24, No 1 (2024) Vol 23, No 2 (2023) Vol 23, No 1 (2023) Vol 22, No 2 (2022) Vol 22, No 1 (2022) Vol 21, No 2 (2021) Vol 21, No 1 (2021) Vol 20, No 2 (2020) Vol 20, No 1 (2020) Vol 19, No 2 (2019) Vol 19, No 1 (2019) Vol 18, No 2 (2018) Vol 18, No 2 (2018) Vol 18, No 1 (2018) Vol 18, No 1 (2018) Vol 17, No 2 (2017) Vol 17, No 2 (2017) Vol 17, No 1 (2017) Vol 17, No 1 (2017) Vol 16, No 2 (2016) Vol 16, No 2 (2016) Vol 16, No 1 (2016) Vol 16, No 1 (2016) Vol 15, No 2 (2015) Vol 15, No 2 (2015) Vol 15, No 1 (2015) Vol 15, No 1 (2015) Vol 14, No 2 (2014) Vol 14, No 2 (2014) Vol 14, No 1 (2014) Vol 14, No 1 (2014) Vol 13, No 2 (2013) Vol 13, No 2 (2013) Vol 13, No 1 (2013) Vol 13, No 1 (2013) Vol 01-12 (Printed Issues) More Issue