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All Journal International Journal of Informatics and Communication Technology (IJ-ICT) Proceedings of Annual International Conference Syiah Kuala University - Life Sciences & Engineering Chapter Kitektro Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Rekayasa elektrika Jurnal Polimesin Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics JURNAL REKAYASA KIMIA & LINGKUNGAN Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Yudha Nurdin
Universitas Syiah Kuala
Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Health Professions Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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Pengolahan Limbah Cair Organik dengan Microbial Fuel Cell Rinaldi, Wahyu; Nurdin, Yudha; Syahiddin, Syahiddin; Windari, Wulan; Agustina, Cut Putri
Jurnal Rekayasa Kimia & Lingkungan Vol 10, No 2 (2014): Jurnal Rekayasa Kimia & Lingkungan
Publisher : Chemical Engineering Department, Syiah Kuala University, Banda Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23955/rkl.v10i2.2425

Abstract

Penelitian ini mengusulkan sebuah prototipe reaktor microbial fuel cell (MFC) tanpa membran beraliran kontinyu. Dinding Reaktor dibuat dari pipa PVC dan elektroda dari serat karbon. Mikroba yang ditambatkan di anoda bersumber dari larutan FloTank. Pada penelitian ini digunakan limbah organik artifisial yang dibuat dari glukosa monohidrat dengan konsentrasi 250 mg/L COD. Waktu tinggal limbah divariasikan pada 0,5; 1; 1,5; dan 2 hari. Nilai rata-rata daya listrik yang dihasilkan untuk waktu tinggal limbah 0,5; 1; 1,5; dan 2 hari berturut-turut adalah 38,02; 43,01; 45,35; 46,71 mW/m2, dan daya volumetrik yang dihasilkan adalah 111,25; 125,86; 132,71; dan 136,69 mW/m3. Persentase penurunan Chemical Oxygen Demand (COD) limbah paling tinggi diperoleh pada waktu tinggal 1,5 hari yaitu sebesar 32,26%.
Development of a self-driving RC car with lane-keeping system using a pure pursuit controller Rahman, Aulia; Alhamdi, Muhammad Jurej; Muchtar, Kahlil; Nurdin, Yudha; Roslidar, Roslidar; Razali, Safrizal; Effendi, Riki
Jurnal Polimesin Vol 23, No 4 (2025): August
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v23i4.6664

Abstract

The development of autonomous vehicles is crucial for enhancing driving safety, comfort, and efficiency. This research presents the design of a self-driving Remote Controlled (RC) car at a 1:10 scale, equipped with a lane-keeping system and a pure pursuit controller. The primary objective is to evaluate the effectiveness of integrating computer vision techniques with trajectory tracking control to maintain lane stability. Lane detection was achieved using a sliding windows algorithm, while polynomial fitting estimated the lane centerline. A stereo camera provided spatial perception, capturing images that were processed to determine the steering angle needed to minimize deviation between the lookahead point and the viewpoint of the vehicle. Experimental results show that the system-maintained lane position with minimal deviation, achieving an average steering angle of 90.44° on straight paths, 65.4° on right turns, and 113.1° on left turns. These results demonstrate the feasibility of combining vision-based lane detection with a pure pursuit controller to improve path-tracking accuracy and stability in autonomous vehicles.
Comparative Analysis of Multispectral Image Classification Based on EfficientNetB0, ResNet152, DenseNet161, DenseNet121, and HSV Segmentation Melinda; Nurdin, Yudha; Mufti, Alfatirta; Anzella, Syifa; Rusdiana, Siti; D Acula, Donata
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 1 (2026): February 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i1.6873

Abstract

This study established a classification system based on Convolutional Neural Networks (CNNs) to detect High-High Fluctuation (HHF) patterns in multispectral data derived from pure water (H2O) and a water-sodium hydroxide (NaOH) solution. This study combines HSV color-space-based segmentation to identify areas with the highest signal amplitude, thereby enhancing the feature extraction of the CNN model. Data augmentation techniques, including random flipping, rotation, and color jitter, along with training parameters such as a learning rate of 0.0001 and a batch size of 32, have been shown to effectively improve model generalization and reduce overfitting. Four different CNN architectures were evaluated: ResNet-152, DenseNet-161, DenseNet-121, and EfficientNet-B0. As a result, ResNet152 achieved the highest accuracy of 97.6%, attributed to its network depth and residual connections that effectively address the vanishing gradient problem. DenseNet161 and DenseNet121 also demonstrated competitive performance, achieving accuracies of 96.7% and 96.2%, respectively, which is supported by their dense connectivity that optimizes feature reuse. Conversely, EfficientNetB0, despite showing lower accuracy (90%), provides significant computational efficiency, making it suitable for real-time applications. These results underscore the importance of selecting a CNN architecture that balances accuracy and efficiency for multispectral data classification.
Implementation of the e-Gampong Village Information System in Efforts to Improve the Quality of Public Services: Penerapan Sistem Informasi Desa e-Gampong dalam Upaya Meningkatkan Kualitas Layanan Publik Safrizal Razali; Yuwaldy Away; Maimun; Aulia Rahman; Muslimsyah; Yudha Nurdin; Al Bahri
JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Vol. 7 No. 3 (2023): Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Publisher : DPD Jatim Perkumpulan Dosen Indonesia Semesta

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

Abstract

Efforts to enhance the quality of public services in Gampong Lam Ara, Aceh Province, were carried out through the development of a village information system (e-Gampong) and training for Gampong officials. Quality public services are considered crucial in evaluating government performance and creating a positive image in the eyes of the community. In an effort to provide more efficient and effective services, e-Gampong was developed to manage population data and other necessary administrative processes for the residents of Gampong Lam Ara. Additionally, intensive training was provided to Gampong officials to enhance their understanding of the smart village concept, Gampong management, Gampong digitization, and the utilization of e-Gampong. Evaluation results indicated that the implementation of the village information system and the training provided successfully improved the understanding and perceptions of Gampong Lam Ara officials and received a positive response from them. These results demonstrate that this approach succeeded in enhancing the quality potency of public services in Gampong Lam Ara and establishing a stronger foundation for realizing a smart village.
Co-Authors . Ahmadiar . Melinda . Roslidar Afdhal Afdhal Al Bahri Alfatirta Mufti Alhamdi, Muhammad Jurej Anzella, Syifa Aulia Rahman Aulia Rahman Chairuman Cut Putri Agustina Cut Putri Agustina, Cut Putri D Acula, Donata Fathur Rahman, Imam Kahlil Muchtar Lailatul Qadri Zakaria Maimun Maulana Imam Muttaqin Melinda Melinda Melinda Mirza Rahmat, Muhammad Muchtar, Kahlil Muhammad Irhamsyah Muslimsyah Nasaruddin Syafie Noviantika, Fina Oktiana, Maulisa Riki Effendi Rinaldi, Muhammad Hafiz Saddami, Khairun Safrizal Razali Sayed Muchallil Sayed Muchallil Shaquille Rizki Ramadhan Na Siti Rusdiana Syahiddin Syahiddin Syahiddin Syahiddin, Syahiddin Teuku Radhi Muhammad Fitrah Wahyu Rinaldi Wahyu Rinaldi Wong, W. K Wong, W.K. Wulan Windari Wulan Windari, Wulan Yunidar Yunidar Yunidar Yuwaldi Away Yuwaldy Away