MODEL MONITORING KAPASITAS SAMPAH PADA PLTSa DENGAN PENDEKATAN METODE ADALINE (STUDI KASUS : PLTSa STT-PLN)
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
YUNITA, SEPTIA RAHMA
Djamain, Yasni
Siregar, Riki Ruli A
Djamain, Yasni
Siregar, Riki Ruli A
Subject
Teknik Informatika
Datestamp
2022-09-22 03:40:13
Abstract :
Garbage is the main problem in everyday life especially in the STT-PLN. The large number of existing waste at the shelter, STT-PLN can cultivate energy waste into simple small-scale plants that form a Populist Power. By making use of technological developments, this study discusses the monitoring capacity of the model of junk that can easily access the application website aims to assist in managing waste and can find out the value of waste will be processed into clean energy. Monitoring the hardware using among other things the arduino uno and nano, load sensors, Ultrasonic sensors, ethernet shield, servo motor, amplifier HX711, DHT11 sensor and wifi router. The hardware assembled and programmed to work. The approach used to estimate the percentage of dry waste that is monitoring by a computer using an approach method of adaline. With the monitoring capacity of the waste, officers can monitor the status of junk so hopefully soon done handling and can generate value from waste management
Garbage is the main problem in everyday life especially in the STT-PLN. The large number of existing waste at the shelter, STT-PLN can cultivate energy waste into simple small-scale plants that form a Populist Power. By making use of technological developments, this study discusses the monitoring capacity of the model of junk that can easily access the application website aims to assist in managing waste and can find out the value of waste will be processed into clean energy. Monitoring the hardware using among other things the arduino uno and nano, load sensors, Ultrasonic sensors, ethernet shield, servo motor, amplifier HX711, DHT11 sensor and wifi router. The hardware assembled and programmed to work. The approach used to estimate the percentage of dry waste that is monitoring by a computer using an approach method of adaline. With the monitoring capacity of the waste, officers can monitor the status of junk so hopefully soon done handling and can generate value from waste management
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