Sistem Pengukuran Intensitas dan Durasi Penyinaran Matahari Realtime PC berbasis LDR dan Motor Stepper

AbstrakPenyinaran matahari sebagai sumber energi yang penting bagi kehidupan merupakan salah satu parameter cuaca yang penting untuk diukur. Penelitian ini mendesain dan membuat sistem pengukuran intensitas dan durasi penyinaran matahari menggunakan mikrokontroller ATMEGA328 Arduino Uno dan satu buah sensor LDR yang pergerakannya diatur menggunakan motor stepper. Tampilan sistem menggunakan LCD dan PC. Data yang diukur disimpan secara otomatis dalam format *xls. Sistemmemiliki ketelitian rata-rata pengukuran intensitas cahaya matahari sebesar 0.9993 dengan persentase ketepatan rata-rata ialah 98,79%. Pada pengukuran durasi penyinaran matahari, sistem memiliki ketepatan rata-rata pengukuran sebesar 93,876%.Keywords: penyinaran matahari, durasi, intensitas, sistem pengukuran, motor steppe

Simulation of Void Detection System using Gamma-Ray Compton Scattering Technique

A simple void detection system for concrete was successfully developed using high-penetration gamma rays with Compton scattering. This research attempted to identify a void in the subsurface of a concrete volume that could not be accessed from any of the sides. Monte Carlo simulation using GEANT4 toolkit was performed to investigate the gamma-ray backscattering events. An NaI(Tl) detector was used with 60Co and 137Cs as gamma-ray sources. The void's location was successfully detected during material target scanning. Density discrepancies conduce variance of the backscattering peak produced due to the presence of a void. Compared to 60Co as the gamma-ray source, 137Cs is a better choice for application in NDT systems using Compton scattering

Simulation of Void Detection System using Gamma-Ray Compton Scattering Technique

A simple void detection system for concrete was successfully developed using high-penetration gamma rays with Compton scattering. This research attempted to identify a void in the subsurface of a concrete volume that could not be accessed from any of the sides. Monte Carlo simulation using GEANT4 toolkit was performed to investigate the gamma-ray backscattering events. An NaI(Tl) detector was used with 60Co and 137Cs as gamma-ray sources. The void's location was successfully detected during material target scanning. Density discrepancies conduce variance of the backscattering peak produced due to the presence of a void. Compared to 60Co as the gamma-ray source, 137Cs is a better choice for application in NDT systems using Compton scattering

Optimization of Soil Temperature and Humidity Measurement System at Climatology Stations with IoT-Based Equipment

Temperature and humidity are important weather parameters that require close observation due to their importance across various fields, including agriculture. Apart from the use of automatic weather system (AWS), the station of meteorology and climatology also relies on conventional devices to observe these parameters, but they have been proven to be inefficient, imprecise, and prone to systematic errors. The alternative AWS consists of several sensors with different functions, allowing for more accurate measurements, but it also has one major limitation. This includes its inability to carry out measurements with the sensors when one of them is damaged. Therefore, this study aims to develop high-precision soil temperature and humidity (STH) monitoring equipment using the DHT11 sensor module. The equipment consisted of a box containing a series of device builder electronics. The building electronics circuit contained a DHT11 sensor, NodeMCU ESP8266 microcontroller, an on/off switch, and a reset button. The results of measurements of temperature and humidity often appeared on the smartphone. The DHT11 sensor detected the soil parameters, which were processed by the NodeMCU ESP8266. The data obtained were then sent to the Thingspeak server, where they could be accessed on a smartphone. The developed equipment showed good performance with accuracies of 98.201%, 97.330%, 98.982%, 98.973%, and 99.649% in measuring STH at each depth, while values of 98.487% and 98.587% were obtained for humidity measurement. Furthermore, precision values of 99.93% and 99.95 were recorded for the measurement of temperature and humidit