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Solar Panel Light Intensity and Voltage Measurement System Using Atmega328 Pane, Rangga Rio Pratama; Nengsih, Sri; Morsin, Marlia
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol 8, No 2 (2024)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v8i2.22501

Abstract

The need for new renewable energy sources is growing because of several problems, such as high electricity costs, frequent power outages, and dependency on fossil fuels. It's critical to come up with solutions to this problem, like using solar power. Nonetheless, to guarantee a steady supply of energy, solar panels must be well controlled. The primary goal of this study was to create a system that would use an ATmega328 microcontroller, a logger module, and an INA219 voltage sensor, along with a BH1750 light intensity sensor, to detect the voltage and intensity of light on solar panels in real time. The study technique includes the steps of system definition, design, and development using a 4D approach that has been streamlined into 3D. The system's ability to make precise measurements and store data in a readily accessible and processable manner was demonstrated by the test results. Real-time solar panel state monitoring is made possible by the system's primary ATmega328 microprocessor, and data storage in CSV format enables easy analysis. In summary, this system was success for tracking and improving energy efficiency
Detection of Malathion in Ipomoea aquatica Using a Plasmonic Sensor Based on Ag-Modified Gold Nanobipyramids Iwantono, Iwantono; Morsin, Marlia; Yudani, Ananda Febri; Syajali, Hidayati; Ziliwu, Friska; Simbolon, Norsinta Ida; Nafisah, Suratun; Isda, Mayta Novaliza; Emrinaldi, Tengku
Journal of Applied Agricultural Science and Technology Vol. 9 No. 1 (2025): Journal of Applied Agricultural Science and Technology
Publisher : Green Engineering Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55043/jaast.v9i1.369

Abstract

Malathion is an organophosphate pesticide commonly used in agriculture to protect various crops, including Ipomea aquatica. I. aquatica is a widely consumed vegetable that is vulnerable to pests, such as caterpillars, which damage its leaves. Malathion is an insecticide effective against caterpillars on Ipomoea aquatica without affecting its internal tissues. However, excessive use of this pesticide may leave residues that pose risks to the environment and human health. This study aims to develop a plasmonic sensor based on silver-modified gold nanobipyramids (Ag-GNBPs) for malathion detection. This plasmonic sensor employs anisotropic gold nanomaterials, specifically silver-coated gold nanobipyramids, to enhance localized surface plasmon resonance (LSPR) and improve detection sensitivity. Silver is used due to its high electrical conductivity and responsiveness to electrical and light stimuli. Ag-GNBPs were synthesized using the seed-mediated growth method, and their optical, structural, and morphological properties were characterized via UV-Vis spectroscopy, XRD, and FESEM. The UV-Vis absorption spectrum exhibited transverse (T-SPR) and longitudinal (L-SPR) surface plasmon resonance peaks at 500-600 nm and 700-900 nm, respectively. Testing involved adding the analyte to the solution and analyzing LSPR spectrum changes via UV-Vis spectroscopy. The observed LSPR peak shifts correlated with malathion concentration, with enhanced sensitivity due to silver modification. The results demonstrated that the plasmonic sensor based on silver-modified gold nanobipyramids not only detected malathion with high accuracy but also exhibited high sensitivity at low concentrations, which is essential for environmental monitoring and food safety applications. The optimal growth time for the seed-mediated growth method was 2 hours.
Solar Panel Light Intensity and Voltage Measurement System Using Atmega328 Pane, Rangga Rio Pratama; Nengsih, Sri; Morsin, Marlia
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 8 No. 2 (2024)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v8i2.22501

Abstract

The need for new renewable energy sources is growing because of several problems, such as high electricity costs, frequent power outages, and dependency on fossil fuels. It's critical to come up with solutions to this problem, like using solar power. Nonetheless, to guarantee a steady supply of energy, solar panels must be well controlled. The primary goal of this study was to create a system that would use an ATmega328 microcontroller, a logger module, and an INA219 voltage sensor, along with a BH1750 light intensity sensor, to detect the voltage and intensity of light on solar panels in real time. The study technique includes the steps of system definition, design, and development using a 4D approach that has been streamlined into 3D. The system's ability to make precise measurements and store data in a readily accessible and processable manner was demonstrated by the test results. Real-time solar panel state monitoring is made possible by the system's primary ATmega328 microprocessor, and data storage in CSV format enables easy analysis. In summary, this system was success for tracking and improving energy efficiency