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INTEGRATION OF SOLAR PANELS AND ARDUINO FOR AQUAPONIC SYSTEM AUTOMATION AND SOLAR ENERGY EFFICIENCY Lubis, Lailatul Husna; Mesyadi, Mesyadi; Nasution, Mulkan Iskandar
Indonesian Physical Review Vol. 8 No. 1 (2025)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v8i1.415

Abstract

Aquaponics is a system that combines fish and plant farming in one mutually beneficial ecosystem. However, the consumption of electrical energy, such as driving water pumps in aquaponic systems, is crucial because it requires considerable financing. Solar panels are one of the alternatives in reducing the use of electrical energy. Solar energy is environmentally friendly and does not produce pollution like conventional energy. Thus, automation and using solar energy as renewable energy can be a solution to improving the efficiency of aquaponic systems. This research aims to analyze the Arduino-based automation system and the use of 200 Wp solar panels in aquaponics involving catfish and water spinach cultivation. The system uses solar panels as the primary energy source stored in VRLA batteries, regulated through a Solar Charge Controller, and converted into AC electricity to operate the water pump and automatic monitoring system. Arduino Uno controls the automation and monitoring with pH, TDS, temperature, humidity, and ultrasonic sensors to monitor environmental conditions. Tests show that the solar panel produces an average voltage of 40.83 V and a current of 3.28 A, with an efficiency of 40.65% and a power that can be generated in a day of 1200 Watts. The operational cost of the solar panel system was calculated using the Levelized Cost of Energy (LCOE), showing that it is more efficient than PLN electricity at Rp 688.15/kWh vs. Rp 1,444.70/kWh or Rp 31,397.3 vs. Rp 65,947.35 for one year of aquaponic system use. Monitoring for 10 days showed optimal growth of water spinach and catfish plants with consistent pH, temperature, humidity, and pump and servo operation. The results indicate that an aquaponics system powered by renewable energy and Arduino-based automation effectively meets energy needs at a lower cost and improves the efficiency and reliability of aquaponics operations.
MODIFICATION OF THE ATTENUATION EQUATION FOR PEAK GROUND ACCELERATION (PGA) IN THE NORTH SUMATERA REGION Rahma, Sauma Natia; Lubis, Lailatul Husna; Sirait, Ratni; Pratama, Rian; Wijaya, Angga
Jurnal Neutrino:Jurnal Fisika dan Aplikasinya Vol 17, No 1 (2024): October
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/neu.v17i1.28884

Abstract

Prediction of the empirical formula for ground acceleration is an important thing to analyze for seismic estimation in an area. This needs to be done to reduce the negative impact of earthquakes as a more appropriate mitigation effort in planning and designing earthquake-resistant buildings. Therefore, the empirical formulation from Zhaou, et al is used, which is well adapted to the seismotectonic conditions of the North Sumatra region, which has high seismic vulnerability, considering that this region is located in an active subduction zone. This advantage allows the model to more accurately predict the maximum ground acceleration (PGA) produced by earthquakes in the region. The purpose of this research is to obtain an empirical formulation of the maximum ground acceleration value based on seismic parameters such as distance, depth, and magnitude. It will also show the relationship between these parameters and the value of maximum ground acceleration or peak ground acceleration (PGA) in the North Sumatra region. This study modifies the empirical formulation of Zhao, et al data sourced from the Meteorology Climatology and Geophysics Agency (BMKG) of North Sumatra in 2017-2023 with a magnitude of 3 - 6 Mw. This research uses non-linear regression with the least squares method. The results of the analysis of the empirical formula produce the constant value sought a = 1.4703 b = -0.0025, c = 20.7441, d = 0.0196, e = 0.0015, S_SS = -2.0843, and S_SL = -0.0529. An empirical formula was obtained for the North Sumatra region based on the research results. This equation can be used on a scale of 3.0 - 6.0 Mw and a distance to the earthquake source between 0 - 300 km. The relationship between each parameter of this empirical formula is that the PGA value will increase with the magnitude, and the PGA value will decrease as the epicentre distance increases.
IDENTIFICATION OF ELECTROMAGNETIC ULTRA LOW FREQUENCY (ULF) SIGNAL ANOMALIES AS PRECURSORS OF A MAGNITUDE 5 EARTHQUAKE IN THE SULAWESI REGION Anggraini, Delfira; Sirait, Ratni; Lubis, Lailatul Husna; Sibuea, Christofel Haposan Great
Jurnal Neutrino:Jurnal Fisika dan Aplikasinya Vol 16, No 2 (2024): APRIL
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/neu.v16i2.26296

Abstract

Sulawesi is situated at the intersection of three tectonic plates the Indo-Australian, Eurasian, and Philippine plates. The Palu Koro fault is one of the primary causes of seismic activity in the Sulawesi region, making it vulnerable to earthquakes on this Island. As an initial step in disaster mitigation, the information provided is useful in determining the initial signs before the occurrence of an earthquake, it is necessary to identify Ultra Low Frequency (ULF) Signal Anomalies as earthquake precursors. The methods employed are those of power spectrum density (PSD) and single-station transfer function (SSTF). The analysis of anomalies suspected of being precursors to 5 earthquake events revealed that in the February 27, 2023 earthquake, the anomaly appeared twice with a lead time of 17 days. In the February 28, 2023 earthquake, the anomaly appeared twice. In the March 7, 2023 earthquake, the anomaly appeared 3 times with a lead time of 20 days. The March 28, 2023 earthquake had 6 anomalies with a lead time of 24 days. The April 6, 2023 earthquake had 5 anomalies with a lead time of 29 days. anomalies were detected with lead times ranging from 17 to 30 days. The anomaly source azimuth direction was also determined.