Publisher

PUBLIKASIINDONESIAPUBLIKASIINDONESIA

Journal Jurnal Indonesia Sosial TeknologiJurnal Indonesia Sosial Teknologi Abstract

Drying is essential when it is needed. One example of a drying system can be seen on clothing. It aims to enable this system to work without seeing the weather conditions. The system design uses the DHT22 sensor to get the temperature and humidity values, heater and fan, and the Blynk application on Android to know the temperature, humidity, and active or not heater and fan values. The study aimed to create a system that functions independently of weather conditions, offering an efficient drying process. The methodology involves using an Arduino Uno, a DHT22 sensor, a WiFi ESP8266 module, and a 1500-watt heater to control the drying environment. The tests were conducted in various weather conditions, comparing manual, heating-based, and light-based drying systems. The results showed that the automated system significantly reduced the drying time, with an average drying time of 1:30:32 compared to 8:16:23 for manual drying. In addition, the system maintains consistent performance regardless of external conditions. The findings show that the automatic drying system substantially increases efficiency and energy consumption. In conclusion, the automated system effectively overcomes the limitations of manual drying, offering a reliable solution for both domestic and industrial applications. The implications of this research extend to the development of more brilliant household energy conservation and the adoption of automated systems in everyday tasks.

Conclusion

The design of the clothes drying system using a heater can work automatically, responding to temperature and humidity levels.This automated system proves to be more effective than manual drying and drying with lights.The systems performance is consistent, offering a reliable solution for both home and industrial use, and contributes to energy conservation and the adoption of automated systems in daily life.

Future Research

Further research could investigate the integration of machine learning algorithms to predict optimal drying times based on fabric type and environmental conditions, enhancing the systems efficiency. Additionally, exploring the use of alternative, more sustainable energy sources, such as solar power, to operate the drying system could reduce its environmental impact and operational costs. Finally, a study focusing on the development of a user-friendly interface for remote monitoring and control of the system via a mobile application would increase its accessibility and convenience for a wider range of users, potentially incorporating features like notifications and customized drying profiles. These advancements would build upon the current research, creating a more intelligent, eco-friendly, and user-centric clothes drying solution.

References

1. PROTOTYPE SISTEM PENJEMURAN PAKAIAN OTOMATIS BERBASIS ARDUINO UNO | Jurnal Informatika dan Teknik Elektro... doi.org/10.23960/jitet.v13i1.5680PROTOTYPE SISTEM PENJEMURAN PAKAIAN OTOMATIS BERBASIS ARDUINO UNO Jurnal Informatika dan Teknik Elektro doi 10 23960 jitet v13i1 5680

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