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All Journal International Journal of Electrical and Computer Engineering TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika
Nurdin, Agung Ihwan
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Computer Science & IT Electrical & Electronics Engineering

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TTGO LORA ESP32: SOLUSI NIRKABEL UNTUK PROTOTIPE PENGENDALIAN PENGINJEKSI ARUS PADA METODE GEOLISTRIK Nurpadillah, Sifa; Susanto, Kusnahadi; Mukhtar, Husneni; Cahyadi, Willy Anugrah; Ikhsan, Akhmad Fauzi; Nurdin, Agung Ihwan; Razzak, Taufiq Abdul; Rahmawati, Dien
TEKTRIKA Vol 8 No 2 (2023): TEKTRIKA Vol.8 No.2 2023
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v8i2.6864

Abstract

Rock resistivity properties obtained using the geo-electric method are used to estimate subsurface soil structures and rock types in geophysical exploration. The data collection process using this geoelectrical method is often carried out in remote areas by installing current electrodes (AB) and potential electrodes (MN) up to 1.5 km away. The success of exploration is highly dependent on the current injection source used. The greater the current used, the deeper exploration that can be carried out. However, the required distance between AB and MN electrodes is getting further and the ABMN electrodes are connected by a cable. This causes the process of collecting data at further distances of electrodes to become more complex. This study discusses a current source prototype for geo-electric methods that can communicate wirelessly with TTGO LoRa ESP32 as a controller. This prototype provides three injection power options: full, medium, and low. Current injection is carried out on a dummy resistor, which acts as earth. When injecting current into the dummy resistor, current measurements obtained using the INA219 sensor gave very consistent measurement results because it had a relative error of < 1% (on 50 ? and 300 ? dummy resistors). When measuring a current of 0.0066 A, the relative error increases to 1.5%. But it still shows good consistency in the INA219 measurement results. In addition, the MAPE for all measurements is within < 10%, which means that the INA219 readings provide excellent results. Key Words: current injector, geo-electrical, INA219, voltage divider, TTGO LoRa.
Design of a road marking violation detection system at railway level crossings Susilawati, Helfy; Nurpadillah, Sifa; Sediono, Wahju; Nurdin, Agung Ihwan
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i1.pp883-893

Abstract

When a train passed through a railway-level crossing, a common phenomenon was that many vehicles attempted to overtake others by crossing into lanes designated for oncoming traffic, resulting in both roads becoming congested with motorized vehicles. At that time, no system was in place to enforce penalties for violating road markings at level crossings. Therefore, a system capable of detecting such violations when trains pass through was needed. The designed system utilized a Raspberry Pi 4, a webcam, and an ultrasonic sensor. The single shot detector (SSD) method was employed for vehicle classification. The optical character recognition (OCR) method was used for character recognition on license plates. The research involved object detection at level crossings using varied objects (cars and motorcycles) with license plates categorized into two types: white background plates with black numbers and black background plates with white numbers. Based on the research results, turning on the webcam when the bar opened and closed using an ultrasonic sensor got an average error of 0.573% and 0.582%. The system could distinguish objects with an average recognition delay of 0.554 seconds and 0.702 seconds for car and motorbike objects. Regarding number plate detection, the success rate of character recognition stood at 64.45%.
Co-Authors Dien Rahmawati Helfy Susilawati Husneni Mukhtar Ikhsan, Akhmad Fauzi Kusnahadi Susanto Razzak, Taufiq Abdul Sediono, Wahju Sifa Nurpadillah Willy Anugrah Cahyadi