Artikel Ilmiah : K1C021030 a.n. FUAD ABDULLOH

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NIMK1C021030
NamamhsFUAD ABDULLOH
Judul ArtikelRancang Bangun dan Pengujian Terbatas Smart Resistivity Meter Multi-Channel Berbasis IoT (Konfigurasi Schlumberger, Wenner, Dipole-Dipole)
Abstrak (Bhs. Indonesia)Metode resistivitas dalam geofisika menggunakan resistivity meter untuk mengukur
nilai resistivitas bawah permukaan melalui injeksi arus dan pengukuran tegangan.
Proses akuisisi data konvensional masih menggunakan perpindahan elektroda manual
yang membutuhkan waktu lama dan rentan terhadap kesalahan operator. Penelitian ini
bertujuan merancang smart resistivity meter multi-channel berbasis Internet of Things
(IoT) yang dapat mengefisienkan proses akuisisi data dengan sistem switching
elektroda otomatis untuk konfigurasi Schlumberger, Wenner, dan Dipole-dipole.
Penelitian menggunakan metode eksperimental dengan merancang sensor arus berbasis
shunt resistor dan sensor tegangan menggunakan rangkaian pembagi tegangan. Sistem
terintegrasi dengan mikrokontroler ESP32 dan Arduino Uno untuk mengontrol 8
elektroda melalui relay switching. Data tersimpan otomatis pada cloud storage dan
dapat dikontrol melalui aplikasi mobile berbasis MIT App Inventor. Hasil pengujian
menunjukkan sistem dapat beroperasi dengan error pembacaan tegangan 3% dan arus
2%, presisi tegangan 92% dan arus 96%, dengan range pengukuran 0-100V dan 0-
100mA. Sistem berhasil melakukan switching elektroda otomatis sesuai konfigurasi
yang dipilih dan mengunggah data real-time ke cloud storage. Konsumsi daya sistem
sebesar 4,23 watt dengan kemampuan multi-channel 8 elektroda. Kesimpulan
penelitian menunjukkan smart resistivity meter multi-channel berhasil meningkatkan
efisiensi akuisisi data geolistrik dengan fitur switching otomatis, penyimpanan cloud,
dan kontrol aplikasi mobile yang user-friendly untuk tiga konfigurasi utama survei
resistivitas.
Abtrak (Bhs. Inggris)The resistivity method in geophysics utilizes a resistivity meter to measure subsurface
resistivity values through current injection and voltage measurement. Conventional
data acquisition processes still rely on manual electrode displacement, which is time
consuming and prone to operator errors. This research aims to design an Internet of
Things (IoT)-based smart multi-channel resistivity meter that can enhance data
acquisition efficiency through automatic electrode switching systems for
Schlumberger, Wenner, and Dipole-dipole configurations. The research employed an
experimental method by designing a current sensor based on shunt resistor and a
voltage sensor using voltage divider circuits. The system is integrated with ESP32 and
Arduino Uno microcontrollers to control 8 electrodes through relay switching. Data is
automatically stored in cloud storage and can be controlled through a mobile
application based on MIT App Inventor. Test results demonstrate that the system can
operate with voltage reading error of 3% and current error of 2%, voltage precision
of 92% and current precision of 96%, with measurement ranges of 0-100V and 0-
100mA. The system successfully performs automatic electrode switching according to
the selected configuration and uploads real-time data to cloud storage. System power
consumption is 4.23 watts with 8-electrode multi-channel capability. The research
conclusion indicates that the smart multi-channel resistivity meter successfully
improves geoelectric data acquisition efficiency with automatic switching features,
cloud storage, and user-friendly mobile application control for three main resistivity
survey configurations.
Kata kunciSmart resistivity meter, IoT, switching elektroda, cloud storage, geolistrik.
Pembimbing 1Dr. Abdullah Nur Aziz, S.Si., M.Si.
Pembimbing 2Hartono, S,Si., M.Si.
Pembimbing 3-
Tahun2025
Jumlah Halaman99
Tgl. Entri2025-08-20 20:57:01.475427
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