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All Journal TAMBANG Computer Journal
Muhammad Rusli M, Muhammad
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences

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Model 3D Mineral Hematite Berdasarkan Data Geomagnet di Desa Uekuli Kabupaten Tojo Una-Una (3D Model of Hematite Mineral Based On Geomagnetic Data in The Uekuli Village Tojo Una-Una Regency) Parhusip, Jaingot A.; Rusli M, Muhammad
PROMINE Vol 3, No 1 (2015): PROMINE
Publisher : Jurusan Teknik Pertambangan FT UBB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5.687 KB)

Abstract

Uekuli Village Tojo Una-Una Regency, have potential of natural resources such as iron sand that containing mineral hematite which is a basic ingredient on the steel industry. This is evidenced by the deposition of iron sand and iron ore rock outcrops in the area. To determine the magnitude of the potential distribution of the iron ore it has performed geophysical exploration using geomagnetic methods. Research by using geomagnetic done through the stages; acquisition of field data, make corrections IGRF and daily variation correction, modeling using 3D modeling software Mag2dc and with help of rockwork software. Results of the study, found that the magnetic anomaly data has avalue range between -120 nT to +160 nT. Magnetic minerals contained in the iron ore is hematite. Estimation volume of distribution of mineral hematite are 377 300 m3.Keywords: Geomagnetic, IGRF, Mag2dc, 3D Models, Hematite.
Implementasi Sistem Peringatan Banjir Dini dengan Sensor HC-SR04 Berbasis ESP32 Internet of Things Sujono, Sujono; Rusli M, Muhammad
Computer Journal Vol. 4 No. 1 (2026): February
Publisher : Yayasan Pendidikan Mitra Mandiri Aceh (YPMMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58477/cj.v4i1.385

Abstract

Floods are natural disasters that often occur in Indonesia and sometimes cause great material and human losses. This paper describes the design and implementation of an IoT-based flood early warning system using ESP32 microcontroller and HC-SR04 ultrasonic sensor technology. The system is capable of automated river water level measurements at 5 minutes interval with real-time data sent to a web-based monitoring dashboard. Field validation was conducted in a quantitative experimental study at a river dam facility located in Jombang Regency. Performance testing results show that the system has high reliability, achieving 98.63% data transmission success rate. The HC-SR04 sensor has measurement accuracy of 97.69% with Mean Absolute Error (MAE) value equal to 2.31%. The warning mechanism works by comparing the water level with certain thresholds so that the dashboard can display safe or alert status conditions based on measurements made by the HC-SR04 sensor. Experimental results prove that this system is effective and economically feasible as a flood early warning solution for vulnerable regions, enhancing disaster preparedness capabilities significantly.
Co-Authors Jaingot A. Parhusip, Jaingot A. Sujono Sujono, Sujono