PERANCANGAN RESISTIVITY METER DENGAN DATA LOGGER BERBASIS MIKROKONTROLER ARDUINO MEGA 2560 R3 UNTUK APLIKASI PENGUKURAN RESISTIVITAS SKALA LABORATORIUM

AGUNG, ALVINA RAHMA and Virgo, Frinsyah and Saleh, Khairul (2025) PERANCANGAN RESISTIVITY METER DENGAN DATA LOGGER BERBASIS MIKROKONTROLER ARDUINO MEGA 2560 R3 UNTUK APLIKASI PENGUKURAN RESISTIVITAS SKALA LABORATORIUM. Undergraduate thesis, Sriwijaya University.

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Abstract

This study evaluates the performance of a resistivity meter based on the Arduino Mega 2560 R3, tested on a layered medium modeled in a measurement tank measuring 120 cm × 120 cm × 80 cm, with a total depth of 60 cm consisting of 30 cm of sand and 30 cm of clay. The device is designed for laboratory-scale resistivity measurements and is equipped with a data logger feature. The system is capable of boosting the input voltage from 12 V to 80 V for current injection, compensating for ground potential voltage, adjusting current gain, receiving input for measurement configuration, displaying data on an LCD, and storing data on a microSD card. Test results show that the voltage measurement has an error of 0.98% with a precision of up to 99.62%, while the current measurement has an error of 2.92% with a precision of up to 98.60%. Testing on resistors resulted in an error of 2.12%. The resistivity values obtained from the sand and clay media correspond to the typical characteristics of each material. One-dimensional (1D) and two-dimensional (2D) inversion modeling using the Wenner configuration was successfully performed based on voltage and current measurements using a digital multimeter. The 1D inversion produced an error of 7.42%, with a detected depth of up to 37.3 cm or approximately 62.16% of the actual total depth, while the 2D inversion yielded an error of 10.6%, with a detected depth of 13.1 cm or around 21.83% of the actual total depth.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Resistivity Meter, Alat Laboratorium
Subjects: Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Q Science > QC Physics > QC1-999 Physics
Q Science > QC Physics > QC801-809 Geophysics. Cosmic physics
T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters, etc. Industrial instrumentation
Divisions: 08-Faculty of Mathematics and Natural Science > 45201-Physics (S1)
Depositing User: Alvina Rahma Agung
Date Deposited: 27 Jul 2025 14:13
Last Modified: 27 Jul 2025 14:13
URI: http://repository.unsri.ac.id/id/eprint/181036

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