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All Journal Jurnal INKOM Communications in Science and Technology Jurnal Elektronika dan Telekomunikasi Makara Journal of Science eProceedings of Engineering
Yusuf Nur Wijayanto, Yusuf Nur
Research Center for Electronic and Telecommunication, Indonesian Institute of Sciences
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Sensitivity Enhancement of Silicon-on-Insulator Multipath Ring Resonator using Gold Nanodisk for Sensor Application Dicky, Gabriel; Taufiqurrahman, Shidqie; Estu, Topik Teguh; Wijayanto, Yusuf Nur; Manurung, Robeth Viktoria; Mahmudin, Dadin; Anshori, Isa; Daud, Pamungkas
Makara Journal of Science Vol. 24, No. 3
Publisher : UI Scholars Hub

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

Abstract

Currently, environmental degradation caused by heavy metals has become a serious concern of many countries. To monitor the concentration of heavy metals in the environment, an in-situ sensor that can measure in real time and has high quality, sensitivity, and flexibility is essential. We proposed a modified multipath ring resonator (MPRR) based on silicon-on-insulator technology with additional gold nanodisk (GND) on top of the ring to increase its sensitivity. To prove the effect of GND on the sensitivity of the modified MPRR, finite-difference time-domain simulations were conducted. Results showed that the average sensitivity of the modified MPRR was 675 nm/RIU, where RIU corresponds to the refractive index unit, higher than that of the unmodified MPRR (171 nm/RIU). Moreover, compared with the single ring structure, the proposed design had better sensitivity. We believe that our proposed approach for the modification of MPRR is suitable for application to optical sensor development.
Performance Comparison of Particle Filter, Optical Flow, and CSRT in Unsupervised Visual Tracking for Mobile Robots Taufiqurrohman, Heru; Muis, Abdul; Wijayanto, Yusuf Nur; Nugroho, Tsani Hendro; Cahya, Zaid
Jurnal Elektronika dan Telekomunikasi Vol 25, No 1 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.688

Abstract

This study addresses the challenges of selecting a suitable visual tracking method for real-time mobile robot applications, particularly in scenarios where the target is moving on the ground. The primary research problem addressed is the need for a flexible, computationally efficient tracking method that does not rely on pre-existing labelled datasets, as is often required by deep learning approaches. Unsupervised methods can overcome this problem by utilizing object motion information in each image frame without prior training. With many unsupervised tracking methods available, choosing an appropriate algorithm that can perform efficiently under dynamic conditions becomes a critical problem. The study compares the performance of three unsupervised visual tracking methods: particle filter, optical flow, and channel and spatial reliability tracker (CSRT) under various tracking conditions. The dataset used includes challenges such as moving target variations, changes in object scale, viewpoint changes, suboptimal lighting, image blurring, partial occlusions, and abrupt movements. Evaluation criteria include tracking accuracy, resistance to occlusion, and computational efficiency. The particle filter with ORB and a constant velocity model achieves a root mean square error (RMSE) of 36.47 pixels at 13 frames per second (fps). Optical flow performs best with an RMSE of 10.79 pixels at 30 fps, while CSRT shows an RMSE of 252.35 pixels at 4 fps. These findings highlight the effectiveness of optical flow for real-time applications, making it a promising solution for mobile robot visual tracking in challenging situations.
Sistem Pemandu Kendaraan Bergerak Menggunakan Jaringan Optik Nirkabel Darmawan, Mochammad Fahreza; Wijayanto, Yusuf Nur; Priharti, Wahmisari
eProceedings of Engineering Vol. 10 No. 5 (2023): Oktober 2023
Publisher : eProceedings of Engineering

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Abstract

Saat ini, Jumlah kendaraan bermotor terus meningkat setiap tahunnya. Hal ini membuat peningkatan kemacetan lalu lintas dan tingkat kemacetan terparah sering terjadi pada hari libur panjang. Jarak perjalanan yang jauh ditambah dengan kemacetan yang dilalui dapat membuat pengemudi lelah dan berpotensi terjadinya kecelakaan. Untuk meminimalisir kejadian tersebut, perlu adanya sistem pemandu kendaraan bergerak yang tertanam di dalam mobil dengan fitur penggandengan antar mobil otomatis. Pengimplementasian sistem ini layaknya konvoi kendaraan namun pengemudi pada mobil di belakang (yang mengikuti) tidak perlu menginjak gas dan rem sehingga bisa beristirahat sejenak apabila sudah merasa lelah. Sistem pemandu kendaraan bergerak ini dirancang menggunakan Arduino Mega yang menempel pada purwarupa kendaraan dengan skala 1:100. Pada purwarupa kendaraan ini, terdapat 5 buah sensor receiver yang akan mendeteksi pancaran cahaya LED infrared yang dipancarkan oleh transmitter. Hasil penerimaan pancaran berupa sinyal digital diteruskan ke mikrokontroler sebagai input, lalu dilakukan pengkondisian sinyal digital untuk menentukan arah manuver dan jarak dengan kendaraan di depannya. Berdasarkan pengujian, diperoleh nilai akurasi rata – rata sebesar 90% untuk pergeseran transmitter pada sudut -7,5° dan 7,5°. Sedangkan nilai akurasi 91,67% ketika pergeseran transmitter pada sudut -15° dan 15°.Kata kunci— Fitur Mobil, Konvoi, Sistem Pemandu Kendaraan, Kendaraan Otonom.
Material Properties Extraction of Mango (Mangifera indica) Leaves at Ka-Band Using a Waveguide Measurement System Arisesa, Hana; Idrus, Sevia Mahdaliza; Iqbal, Farabi; Abdullah, M.F.L; Wijayanto, Yusuf Nur; Adhi, Purwoko
Communications in Science and Technology Vol 10 No 2 (2025)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.10.2.2025.1768

Abstract

This study investigates the material properties (permittivity, dissipation factor, and conductivity) of mango leaves (Mangifera indica) over the 26–40 GHz Ka-band frequency based on a waveguide measurement system with a vector network analyzer instrument to capture the data. The data analysis employs the Nicolson-Ross-Weir method to extract material properties. The result reveals that the real part of permittivity decreases from about 11.0 to 5.0 with increasing frequency. Meanwhile, the imaginary part of permittivity remains low and stable, suggesting minimal absorption losses. The dissipation factor is consistently below 0.05 along the band. Effective conductivity ranges from 0.2 to 0.6 S/m, with a slight increase at higher frequencies. These findings suggest that at Ka‐band frequency, signal degradation through mango foliage is primarily driven by dispersion and scattering rather than strong dielectric absorption. The results provide essential information for improving foliage attenuation models and designing 5G and 6G communication systems in tropical regions. This study provides a reliable Ka-band dielectric dataset for mango leaves that improves the accuracy of tropical foliage-attenuation models and supports more robust 5G/6G link design and deployment in vegetation-dense environments.
Co-Authors -, Shobih Abdul Muis Arisesa, Hana Cahya, Zaid Dadin Mahmudin, Dadin Darmawan, Mochammad Fahreza Daud, Pamungkas Dicky, Gabriel Folin Oktafiani, Folin Hardiati, Sri I Dewa Putu Hermida, I Dewa Putu Iqbal, Farabi Isa Anshori M.F.L Abdullah Manurung, Robeth Viktoria Murata, Hiroshi Nugroho, Tsani Hendro Okamura, Yasuyuki Pristianto, Joni Purwoko Adhi Sevia Mahdaliza Idrus Sulistyaningsih Sulistyaningsih Taufiqurrahman, Shidqie Taufiqurrohman, Heru Teguh Praludi Topik Teguh Estu, Topik Teguh Wahmisari Priharti