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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.