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All Journal Jurnal Elektronika dan Telekomunikasi
Bagus Edy Sukoco
National Research and Innovation Agency

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Design of Flexible 3.2 GHz Rectangular Microstrip Patch Antenna for S-Band Communication Teguh Praludi; Yana Taryana; Ken Paramayudha; Budi Prawara; Yusnita Rahayu; Chaeriah Bin Ali Wael; Yaya Sulaeman; Bagus Edy Sukoco; Ros Sariningrum; Hendrawan Kurniadin; Wahid Nova Nugraha
Jurnal Elektronika dan Telekomunikasi Vol. 21 No. 2 (2021)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v21.140-145

Abstract

This paper presents the design, simulation, realization and analysis of flexible microstrip patch antenna for S-band applications. The proposed design also adopts the conformal structure by utilizing flexible substrate. Conformal or flexible structure allows the antenna to fit with any specified shape as desired. The antenna patch dimensions is 43 mm × 25 mm without SMA connector. The patch is etched on the flexible dielectric substrate, pyralux FR 9111, with a relative dielectric constant of εr = 3 and the thickness of substrate, h = 0.025 mm. The antenna is designed to resonate at 3.2 GHz. The return loss (RL) of the simulation is -35.80 dB at the center frequency of 3.2 GHz. The fabricated antenna prototype was measured at different bending angles scenarios including 0º, 30º, 60º, and 90º. The measurement of antenna prototype shows that the center frequency is shifted to the higher frequency of 3.29 GHz, compared to the simulation result. Among these scenarios, measurement at bending angle of 90º gives the best performance with RL = - 31.38 dB at 3.29 GHz, the bandwidth is 80 MHz, and the impedance ZA = 48.36 + j2.04 Ω. Despite a slight differences from simulation results, the designed antenna still performs well as expected.
Ground Penetrating Radar Data Inversion Using Dual-Input Convolutional Autoencoder for Ferroconcrete Inspection Budiman Putra Asmaur Rohman; Masahiko Nishimoto; Ratna Indrawijaya; Dayat Kurniawan; Iman Firmansyah; Bagus Edy Sukoco
Jurnal Elektronika dan Telekomunikasi Vol. 24 No. 1 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.642

Abstract

Ground penetrating radar (GPR) is a non-destructive tool for exploring an object buried underground. Currently, GPR is also considered for reinforced concrete inspection. However, the image produced by GPR can not be easily interpreted. Besides, the large observation of building concrete inspection also motivates the researchers to fastening and easing radar image interpretation. Thus,  this research proposes a new method to translate GPR scattering data image to its internal structure visualization. The proposed employs a convolutional autoencoder model using amplitude and phase radar data as input of the algorithm. As evaluation, in this stage, we perform numerical analysis by using finite-difference time-domain-based synthetic data that considers three cases: concrete with rebar, concrete with crack, and concrete with rebar and crack. All of those cases are simulated with randomized dimensions and positions that is possible in the real applications. Compared with the baseline method, our method shows superiority, especially in the semantic segmentation perspective. The parameter size of the proposed model is also much smaller, around one-third of the previous method. Therefore, the method is feasible enough to be implemented in real applications addressing an automatic internal structure reinforced concrete visulaization
Co-Authors Budi Prawara Budiman Putra Asmaur Rohman Chaeriah Bin Ali Wael Dayat Kurniawan Hendrawan Kurniadin Iman Firmansyah Ken Paramayudha Masahiko Nishimoto Ratna Indrawijaya Ros Sariningrum Teguh Praludi Wahid Nova Nugraha Yana Taryana Yaya Sulaeman Yusnita Rahayu