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Design Smart Trash Based On the Inductive Proximity Sensor Wulandari, Rindi; Ariwibowo, M. Riyad; Taryo, Taryo; Ananda, Galieh
International Journal of Multidisciplinary Approach Research and Science Том 2 № 01 (2024): International Journal of Multidisciplinary Approach Research and Science
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/ijmars.v2i01.394

Abstract

Smart waste management, including a waste sorting system based on type, strongly supports the "Intelligent waste management and categorization system" program to support the development of modern cities. Therefore, this research is related to the design of smart waste based on an inductive distance sensor that uses Arduino Uno as a microcontroller. The method used in this research is research and development which consists of mechanical design and control system programming. The results obtained from this research are an intelligent waste design based on an inductive distance sensor that uses Arduino Uno as a microcontroller and uses a conveyor system as a waste transporter. The test results on the ultrasonic sensor were that several objects could be detected at a distance of 15 cm and the conveyor stopped for 0.5 seconds. The test results on the proximity sensor are that the object is read by the proximity sensor when the object is 2 cm from the sensor, and if the object is metal waste then the servo motor moves 30 degrees to the right, if it is non-metallic waste then the servo motor moves 30 degrees to the left
Comparative Study by Experiment of Design Cooling System Between Air Cooling and Water Spray Cooling Method for Optimization of Solar Photovoltaic Ananda, Galieh; Hakim, Mohamad Dimas Nur; Wulandari, Rindi
Indonesian Journal of Innovation and Applied Sciences (IJIAS) Vol. 4 No. 2 (2024): June-September
Publisher : CV. Literasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47540/ijias.v4i2.1455

Abstract

Solar photovoltaic is a renewable energy that has great potential and is quite cheap. However, solar cells are sensitive to temperature through the parameters of their semiconductor materials. The optimal solar photovoltaic temperature range is 25◦C- 40◦C. Based on the study, the optimal temperature of the solar photovoltaic system is 41◦C. The problem is that solar photovoltaics do not produce power optimally when the surface temperature reaches 41◦C so the power produced decreases. The cooling system is one solution to overcome temperature problems in solar photovoltaics. The purpose is to design an automatic cooling system based on water and air spray using Arduino Uno which operates only at solar photovoltaic surface temperatures above 41◦C and compare the working effectiveness of the cooling system using water spray and air when the surface of the solar photovoltaic reaches maximum heat and does not work optimally. Methods. Design and develop a water and air-spray-based cooling system using an experimental process. Results. The automatic cooling system has been designed using a water spray cooling method and a DC fan-based air cooling method. The water spray cooling method can reduce the temperature optimally with an average temperature of 38.67◦C and the air cooling method can reduce the temperature optimally with an average temperature of 39.5◦C. The water spray cooling method had an efficiency value of 36% and the DC fan-based water cooling method had an efficiency value of 16%.