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All Journal International Journal of Electrical and Computer Engineering Jurnal Teknologi Informasi dan Ilmu Komputer Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control ILKOM Jurnal Ilmiah Jurnal Sistem Cerdas JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JMECS (Journal of Measurements, Electronics, Communications, and Systems) Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo) Algoritme Jurnal Mahasiswa Teknik Informatika Internet of Things and Artificial Intelligence Journal eProceedings of Engineering
Satyawan, Arief Suryadi
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Automotive Engineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Other

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Sistem Deteksi Rambu Lalu Lintas Berbasis Computer Vision Untuk Navigasi Miniatur Kendaraan Otonom Saputra, Adhitya Dwi; Suratman, Fiky Y.; Satyawan, Arief Suryadi
eProceedings of Engineering Vol. 12 No. 5 (2025): Oktober 2025
Publisher : eProceedings of Engineering

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

Abstract

Abstrak — Teknologi kendaraan otonom menuntut sistem persepsi visual yang andal, khususnya untuk mendeteksi rambu lalu lintas secara real-time. Penelitian ini mengembangkan sistem deteksi rambu berbasis algoritma YOLOv8 dan diimplementasikan pada prototipe miniatur kendaraan otonom. Dataset sebanyak 1.232 gambar dikumpulkan secara mandiri dan diperluas menjadi 3.696 gambar melalui augmentasi. Model YOLOv8n dilatih selama 87 epoch menggunakan Visual Studio Code. Hasil pelatihan menunjukkan precision dan recall sebesar 91,3% serta mAP@0.5 sebesar 91,3%. Pengujian dilakukan dalam kondisi terang dan gelap, statis maupun dinamis. Hasil menunjukkan tingkat keberhasilan deteksi mencapai 90% dalam kondisi terang dan menurun menjadi 48,9% dalam pencahayaan gelap. Sistem juga berhasil menjalankan aksi robotik dengan akurasi 83,3%. Hasil ini menunjukkan sistem dapat mengenali dan merespons rambu lalu lintas secara real-time secara efektif pada skala miniatur. Kata kunci — sistem deteksi, rambu lalu lintas, yolo, computer vision, kendaraan otonom, traffic sign detection
Performance analysis of OFDM-IM scheme under STO and CFO Suyoto, Suyoto; Subekti, Agus; Satyawan, Arief Suryadi; Mardiana, Vita Awalia; Armi, Nasrullah; Kurniawan, Dayat
International Journal of Electrical and Computer Engineering (IJECE) Vol 11, No 4: August 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v11i4.pp3293-3299

Abstract

In this letter, performance analysis of orthogonal frequency division multiplexing with index modulation (OFDM-IM) is presented in term of bit error rate (BERs). The analysis considers its performance under two impairments, symbol time offset (STO) and carrier frequency offset (CFO) in frequency-selective fading channel. As orthogonal multicarrier system, OFDM-IM is subject to both inter-symbol interference (ISI) and inter-carrier interference (ICI) in a frequency-selective fading channel. OFDM-IM is a new multicarrier communication system, where the active subcarriers indices are used to carry additional bits of information. In general, in the previous existing works, OFDM-IM are evaluated only for near-ideal communication scenarios by only incorporating the CFO factor. In this work, the OFDM-IM performance is investigated and compared with conventional OFDM in the presence of two impairments, STO and CFO. Simulation results show that OFDM-IM outperforms the conventional OFDM with the presence of STO and CFO, especially at high SNR areas.
Impact of carrier frequency offset and in-phase and quadrature imbalance on the performance of wireless precoded orthogonal frequency division multiplexing Suyoto, Suyoto; Subekti, Agus; Satyawan, Arief Suryadi; Armi, Nasrullah; Ali Wael, Chaeriah Bin; Nurkahfi, Galih Nugraha
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 5: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i5.pp5153-5163

Abstract

Precoding in orthogonal frequency division multiplexing (OFDM) system proved to reduce the peak-to-average power ratio (PAPR), so that it improves BER. However, from the existing literature, the effect of carrier frequency offset (CFO), in-phase and quadrature (IQ) imbalance on precoded wireless OFDM systems has not been carried out. Therefore, this study evaluated the precoded OFDM (P-OFDM) system performance by considering the impact of CFO and IQ imbalance. P-OFDM performance evaluation is expressed in signal-to-interference noise ratio (SINR) and bit error rates (BER). The communication channels used are the additive white Gaussian noise (AWGN) channel and the frequency-selective Rayleigh fading (FSRF) channel, while the channel equalization process is considered perfect. The results of the analysis and simulation show that P-OFDM is greater affected by the presence of CFO and IQ imbalance than conventional OFDM system. In AWGN channel, P-OFDM experiences different SINR for each subcarrier. This is different from conventional OFDM system, where all SINRs are the same for all subcarriers. In the FSRF channel, both the POFDM system and the OFDM system experience different SINR for each subcarrier, where the SINRs fluctuation in the P-OFDM system is much larger than in the OFDM system.
Co-Authors Adi, Puput Dani Prasetyo Adiprabowo, Tjahjo Agus Subekti Akbar, Fabian Ali, Abdul Latif Aptadarya, Harwin Arentaka, Fiendo Mahendra Argaloka, Aditya Adni Ariffin, Denden Mohamad Arifyandy, Rachmat Artemysia, Khaulyca Arva Arumjeni Mitayani Aurelia, Felicia Bunga Awalya, Silmi Chaeriah Bin Ali Wael, Chaeriah Bin Christian, Yohanes Wahyu Dayat Kurniawan Fauzan, R. Aldam Dwi Fazri, Nurul Fiky Y. Suratman Firman Haqiqi, Mokh. Mirza Etnisa Harahap, Taufiq Hidayat Helfy Susilawati Hidayat, Haryanto Iswarawati, Ni Kadek Emy Jody H, Amadeus Evan Kitagawa, Akio Laksono, Muhammad Fauzan Anggi Fathul Linggi, Rinda Safana Manullang, Yan Ario Eko Panca Marchellyn, Ferryn Mardiana, Vita Awalia Marta Dinata, Mochamad Mardi Muhammad Yassir Mulyana, Tri Munawir Munawir Nasrullah Armi Noviely, Isra Fanliv Nurdiana, Dian Nurkahfi, Galih Nugraha Nurul P., Vethrea D. Gynandra Pangemanan, Agnes Novi Anna Paramita, I Gusti Ayu Putri Surya Prameswari, Aulia Widya Purwoko Adhi Puspita, Heni Putra, Muhammad Taufik Dwi Putra, Nyoman Triyoga Arika Putri, Riza Ayu RR. Ella Evrita Hestiandari Saharuna, Saharuna Samie, Muhammad Ikbal Saputra, Adhitya Dwi Septiyanti, Riska Yucha Siburian, Sebastian Edward Siswanti, Ike Yuni Siti Helmyati Sopian, Sani Moch Sri Desy Siswanti Suratman , Fiky Y. Sutejo, Muhammad Fajar Suyoto Suyoto Utomo, Prio Adjie Wulandari, Ike Yuni Yuniorrita, Seszy