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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
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High Power Amplifier (HPA) pada Frekuensi 437,430 MHz untuk Aplikasi TTC Downlink Nano Satelit TEL-U SAT Y. Taryana; T. Praludi; Y. Sulaeman; Y. Wahyu; W. I. Prayogo; B. S. Nugroho
Jurnal Elektronika dan Telekomunikasi Vol 16, No 2 (2016)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v16.40-45

Abstract

Sistem Telemetry, Tracking, and Command (TTC) berfungsi sebagai interface komunikasi antara nano satelit dengan stasiun bumi. Salah satu perangkat yang penting dalam TTC adalah transmitter yang bekerja pada frekuensi downlink 437,430 MHz. Dari perhitungan link budget diperlukan sebuah high power amplifier (HPA) yang memiliki daya output 30 dBm agar data yang dikirimkan dapat diterima dengan baik oleh stasiun bumi. Pada tulisan ini dirancang dan direalisasikan HPA dua tingkat dengan frekuensi kerja 435 - 438 MHz. Penguat daya tingkat pertama menggunakan komponen aktif transistor BFR96S dan penguat daya tingkat kedua menggunakan komponen aktif transistor MRF555. Penyepadanan impedansi input menggunakan metode impedance matching Pi-network, sedangkan untuk penyepadanan impedansi interstage dan output menggunakan metode impedance matching T-network. Simulasi penguat daya menggunakan software Advance Design System (ADS 2011). Hasil perancangan HPA pada frekuensi 437,430 MHz menghasilkan gain sebesar 28,400 dB, VSWRin sebesar 1,291, dan VSWRout sebesar 1,295. Dari hasil pengukuran prototipe HPA, pada frekuensi 437,430 MHz menghasilkan gain sebesar 23,01 dB, VSWRin sebesar 2,126, VSWRout sebesar 1,695 pada bandwidth 50 MHz.
Microcontroller-Based Lead-Acid Battery Balancing System for Electric Vehicle Applications Ali Rospawan; Joni Welman Simatupang
Jurnal Elektronika dan Telekomunikasi Vol 21, No 2 (2021)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v21.128-139

Abstract

In application of lead-acid batteries for electrical vehicle applications, 48 V of four 12 V batteries in a series configuration are required. However, the battery stack is repeatedly charged and discharged during operation. Hence, differences in charging and discharging speeds may result in a different state-of-charge of battery cells. Without proper protection, it may cause an excessive discharge that leads to premature degradation of the battery. Therefore, a lead-acid battery requires a battery management system to extend the battery lifetime. Following the LTC3305 balancing scheme, the battery balancing circuit with auxiliary storage can employ an imbalance detection algorithm for sequential battery. It happens by comparing the voltage of a battery on the stack and the auxiliary storage. In this paper, we have replaced the function of LTC3305 by a NUCLEO F767ZI microcontroller, so that the balancing process, the battery voltage, the drawn current to or from the auxiliary battery, and the surrounding temperature can be fully monitored. The prototype of a microcontroller-based lead-acid battery balancing system for electrical vehicle application has been fabricated successfully in this work. The batteries voltage monitoring, the auxiliary battery drawn current monitoring, the overcurrent and overheat protection system of this device has also successfully built. Based on the experimental results, the largest voltage imbalance is between battery 1 and battery 2 with a voltage imbalance of 180 mV. This value is still higher than the target of voltage imbalance that must be lower than 12.5 mV. The balancing process for the timer mode operation is faster 1.5 times compared to the continuous mode operation. However, there were no overcurrent or overtemperature occurred during the balancing process for both timer mode and continuous mode operation. Furthermore, refinement of this device prototype is required in the future to improve the performance significantly.
Optimasi Penentuan Posisi Evolved Node B Long Term Evolution pada BTS GSM yang Terpasang Menggunakan Fuzzy Evolutionary Algorithm Anisari Mei Prihatini; Sholeh Hadi P.; Rahmadwati -
Jurnal Elektronika dan Telekomunikasi Vol 15, No 2 (2015)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v15.39-44

Abstract

LTE (Long Term Evolution) atau yang disebut dengan teknologi 4G merupakan suatu teknologi telekomunikasi bergerak yang dikeluarkan oleh 3GPP Release 8 dan merupakan pengembangan dari HSDPA. Untuk membangun sebuah jaringan LTE di suatu daerah, penyelenggara jasa jaringan telekomunikasi harus membangun infrastuktur sistem komunikasi seluler baru. Salah satu aspek yang sangat berperan dalam pembangunan infrastruktur adalah pembangunan Evolved NodeB (ENodeB). Meningkatnya pembangunan menara ENodeB baru memberikan dampak pada faktor keamanan lingkungan, kesehatan masyarakat dan estetika lingkungan. Pada penelitian ini akan dilakukan optimasi untuk menempatkan ENodeB pada BTS yang telah terpasang menggunakan metode Fuzzy Evolutionary Algorithm (FEA). Hasil yang didapatkan adalah penempatan 58 ENodeB pada BTS yang telah terpasang. Performansi penempatan ENodeB menggunakan Fuzzy Evolutionary Algorithm sebesar 84%. Fuzzy Evolutionary Algorithm mencapai kestabilan pada nilai 84 dengan nilai optimalitas sebesar 100 dan trafik sebesar 68.
Pengembangan Antena Mikrostrip Susun untuk Radar Pengawas Pantai Fitri Yuli Zulkiflia; Yuyu Wahyu; Basari -; Eko Tjipto Raharjo
Jurnal Elektronika dan Telekomunikasi Vol 13, No 2 (2013)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v13.55-59

Abstract

Makalah ini membahas pengembangan antena mikrostrip yang disusun secara linier sebanyak empat elemen untuk aplikasi radar pengawas pantai. Teknik pencatuan yang digunakan untuk mencatu antena susun ini adalah proximity coupled. Desain antena menggunakan software CST microwave studio dan dirancang untuk bekerja di frekuensi 9,4 GHz. Hasil simulasi memperlihatkan impedance bandwidth antena pada return loss ≤ -9,54 dB adalah 760 MHz dari  9,34-10,1 GHz dan dari  hasil ukur  adalah 860 MHz dari frekuensi  9,35-10,21 GHz. Di samping itu, hasil simulasi menunjukkan half power beamwidth (HPBW) pada phi=0 sebesar 23,7o dengan sidelobe level (SLL) sebesar -12,03 dB, sementara pada phi=90 diperoleh  HPBW sebesar 77,2o dengan SLL tertekan sampai -19,78 dB. Sebagai tambahan, gain dari antena diperoleh sebesar 11,33 dB.  Adapun  hasil pengukuran menunjukkan hasil HPBW pada phi=0 sebesar 20o dengan SLL  sebesar -18,9 dB dan pada phi=90 diperoleh HPBW sebesar 65o dengan SLL -15,51 dB.
Latin Letters Recognition Using Optical Character Recognition to Convert Printed Media Into Digital Format Rio Anugrah; Ketut Bayu Yogha Bintoro
Jurnal Elektronika dan Telekomunikasi Vol 17, No 2 (2017)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v17.56-62

Abstract

Printed media is still popular now days society. Unfortunately, such media encountered several drawbacks. For example, this type of media consumes large storage that impact in high maintenance cost. To keep printed information more efficient and long-lasting, people usually convert it into digital format. In this paper, we built Optical Character Recognition (OCR) system to enable automatic conversion the image containing the sentence in Latin characters into digital text-shaped information. This system consists of several interrelated stages including preprocessing, segmentation, feature extraction, classifier, model and recognition. In preprocessing, the median filter is used to clarify the image from noise and the Otsu’s function is used to binarize the image. It followed by character segmentation using connected component labeling. Artificial neural network (ANN) is used for feature extraction to recognize the character. The result shows that this system enable to recognize the characters in the image whose success rate is influenced by the training of the system.
Microwave and Optical Electric Field Interaction in Microwave Polarization Detector Based on Photonic Technology for EMC Measurement Yusuf Nur Wijayanto; Hiroshi Murata; I Dewa Putu Hermida
Jurnal Elektronika dan Telekomunikasi Vol 16, No 1 (2016)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v16.7-10

Abstract

We analyze the interaction of microwave and optical electric field in a microwave polarization detector based on photonic technology for Electromagnetic Compatibility (EMC) measurement. The detector consists of two orthogonal optical waveguides and patch antennas embedded with two orthogonal gaps fabricated on an Electro-Optic (EO) crystal. Wireless microwave signals can be received, separated and converted directly to lightwave signals through optical modulation using the proposed detector. This detector operates with no external power supply and with low microwave distortion. Microwave polarization can be identified using the proposed interface. In addition, it enables us to measure the magnitude and phase of the wireless signal simultaneously. The analysis of the device was done and presented at the operation frequency of 26 GHz. The proposed interface can be applied for EMC measurement through the radio-over-fiber link.
Back Cover Vol 14 No 1 Tajul Miftahushudur
Jurnal Elektronika dan Telekomunikasi Vol 14, No 1 (2014)
Publisher : LIPI Press

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Abstract

Karakterisasi Sensor Gas CO Berbasis Bahan SnO2 dengan Metoda Solgel Menggunakan Teknologi Film Tebal I Dewa Putu Hermida; Parlindungan Sinaga; Gesi Soleha
Jurnal Elektronika dan Telekomunikasi Vol 13, No 2 (2013)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v13.60-65

Abstract

Sensor gas SnO2 termasuk sensor yang paling banyak digunakan dan dikembangkan di pasaran, tapi sampai saat ini belum bisa menghasilkan sensitivitas yang tinggi. Dalam penelitian ini dibahas mengenai karakterisasi sensor gas CO dengan teknologi film tebal yang berbahan SnO2 dan diharapkan dapat menghasilkan sensor dengan sensitivitas yang tinggi. Hasil XRD menunjukan bahwa struktur dari SnO2 adalah rutile tetragonal. Dari pola difraksi terlihat puncak-puncak 110 dan 101 yang menunjukkan pola difraksi yang dibentuk oleh kristal SnO2. Hasil SEM menunjukkan bahwa ukuran sensor dapat mencapai 264 nanometer. Hasil EDS (Energy Dispersive X Ray Spectroscopy) menunjukkan bahwa lapisan sensor yang terbentuk memiliki komposisi O2 (Oksigen) dengan persen massa 21,23% dan Sn (Stanum) dengan persen massa 78,77%. Pengujian sensor dilakukan untuk mengetahui pengaruh perubahan temperatur operasional dan konsentrasi gas terhadap resistansi sensor. Perubahan yang terjadi dalam sensor gas ini, berupa resitansi yang menurun dengan bertambahnya temperatur dan konsentrasi gas CO. Dari hasil pengujian tersebut diketahui bahwa komponen-komponen penyusun sensor dapat merespon adanya gas CO. Nilai sensitivitas yang baik didapat dari hasil pengujian untuk rentang konsentrasi gas 0-500 ppm adalah 9,10-3/ppm.
Deep CNNBased Detection for Tea Clone Identification Ade Ramdan; Endang Suryawati; R. Budiarianto Suryo Kusumo; Hilman F. Pardede; Oka Mahendra; Rico Dahlan; Fani Fauziah; Heri Syahrian
Jurnal Elektronika dan Telekomunikasi Vol 19, No 2 (2019)
Publisher : LIPI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v19.45-50

Abstract

One factor affecting the quality of tea is the selection of plant material that would be planted on the field. Clonal selection is a common way to produce tea with better quality. However, as a natural cross pollination species, tea often consists of various clones or progenies of cross-pollinated process. This commonly occurs on plantations owned by smallholder farmers. To produce a consistent quality tea, the clones or progenies need to be identified. Usually, human experts distinguish the plants from leaves by visual inspection on the physical attributes of the leaves, such as the textures, the bone structures, and the colors. It is very difficult for non-experts or common farmers to do such identifications. In this, we propose a deep learning-based identification of tea clones. We apply deep convolutional neural network (CNN) to identify 3 types of tea clones of Gambung series, a series of tea clones developed at Research Institute of Tea and Cinchona. Our study indicates that the performance of the CNN systems are affected by the depth of the convolutional layers. VGGNet, a popular CNN architectures with 16 layers, achieves better accuracy compared to AlexNet, a CNN with 6 layers.
Back Cover Vol 15 No 1 Chaeriah Bin Ali Wael
Jurnal Elektronika dan Telekomunikasi Vol 15, No 1 (2015)
Publisher : LIPI Press

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Abstract

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