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All Journal Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer Electrician : Jurnal Rekayasa dan Teknologi Elektro
Ratu Verlaili Erlindriyani
Universitas Sultan Ageng Tirtayasa
Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Design and Performance Evaluation of an Arduino-Based Integrated Radiation and Environmental Monitoring System for X-Ray Laboratories Ahmad Ramadhani; Felycia; Ratu Verlaili Erlindriyani; Nauval Franata; Muchtar Ali Setyo Yudono; Dina Estining Tyas Lufianawati
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 20 No. 2 (2026)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v20n2.3158

Abstract

Continuous monitoring of radiation exposure and environmental conditions is essential to ensure safety and operational efficiency in X-ray laboratories. However, commercially available systems are often expensive and less adaptable to smaller facilities. This study proposes the design and performance evaluation of a low-cost, Arduino-based integrated monitoring device for X-ray laboratory conditions. The system integrates a Geiger–Müller detector for radiation counting with environmental sensors for temperature, humidity, and light intensity (DHT11 and BH1750). Experimental testing was conducted to evaluate the accuracy of the timer, sensor performance, and radiation counting capabilities using background radiation and a Cs-137 source. The results demonstrate that the system operates reliably, with deviations in timer counting below 1%, acceptable sensor accuracy, and consistent radiation count rates between detectors. The prototype is capable of real-time data display via a serial monitor and an OLED 1306 screen. This study demonstrates that the proposed system provides an affordable and effective solution for laboratory radiation and environmental monitoring.
Implementasi Artificial Intelligence untuk Non-Destructive Testing: Ulasan Open Access Imamul Muttakin; Ceri Ahendyarti; Fadil Muhammad; Masjudin Masjudin; Ratu Verlaili Erlindriyani; Nauval Franata; Muchtar Ali Setyo Yudono; Agusutrisno Agusutrisno; Rian Fahrizal; Alief Maulana
Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer Vol 15, No 1 (2026): Edisi Juni 2026
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/setrum.v15i1.40021

Abstract

Reviu ini mengkaji kemajuan terkini dalam pengujian dan evaluasi non-destruktif terintegrasi kecerdasan buatan (AI-NDT) di berbagai bidang seperti kualitas pangan, infrastruktur, manufaktur, sistem energi, ilmu kayu, dan pertanian. Literatur menunjukkan pergeseran dari inspeksi konvensional menuju sistem cerdas yang mampu melakukan pemantauan real-time, deteksi cacat, aesmen kualitas, penilaian kuantitatif, dan pemeliharaan prediktif. Modalitas sensing utama meliputi ultrasonik, akustik, elektromagnetik, gelombang mikro, pencitraan, spektroskopi, bioimpedansi, dan teknologi hidung/lidah elektronik, yang umumnya dikombinasikan dengan model machine learning dan deep learning. Meskipun telah terjadi kemajuan yang signifikan, tantangan tetap ada dalam hal ketersediaan dataset, generalisasi model, pergeseran sensor, interpretasi, standardisasi, dan penerapan di lapangan. Penelitian di masa mendatang harus menekankan fusi sensor multimodal, explainable AI dan AI berbasis fisika, edge computing, dataset benchmark, dan validasi jangka panjang. Secara keseluruhan, AI-NDT muncul sebagai teknologi sentral untuk NDE 4.0 dan sistem inspeksi cerdas.
Co-Authors Agusutrisno Agusutrisno Ahmad Ramadhani Alief Maulana Ceri Ahendyarti Dina Estining Tyas Lufianawati Fahrizal, Rian Felycia Imamul Muttakin Masjudin Masjudin Muchtar Ali Setyo Yudono Muhammad Rizki Fadillah Nauval Franata