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Journal : Jurnal Elektronika dan Teknik Informatika Terapan

Pengujian Piranti Tempat Sampah Otomatis Berbasis Sistem Tertanam Menggunakan Mikrokontrol Arduino Uno Fransiska Delsiana; Christy Mahendra; Putu Samuel Prihatmajaya
Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK ) Vol. 1 No. 2 (2023): Juni: Jurnal Elektronika dan Teknik Informatika Terapan (JENTIK)
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v1i2.385

Abstract

Trash cans are very important in maintaining the cleanliness and health of the environment, especially in densely populated urban areas. Garbage bins are a necessity for today's society. Currently, technology is developing very rapidly in the development of industrial products, including automatic trash cans. This study aims to create an automatic trash bin based on Arduino Uno and an Ultrasonic Sensor device for object detection, LCD, LED, Speaker, and Servo Motors. The result of this research is an automation system in the form of an automatic trash can system using Arduino Uno. Testing of embedded system input and output devices worked well with tests of up to 40 times with a result of 90%. These results indicate that the embedded system input and output devices for automatic trash bins can function optimally, effectively and efficiently as industrial products.
Sistem Kontrol Lampu Dan Kipas Angin Dengan Google Assistant Berbasis IoT Mardi Utomo, Vinsensius Alvianto; Mahendra, Christy; Lianawati, Yosita
Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK ) Vol. 1 No. 4 (2023): Desember: Jurnal Elektronika dan Teknik Informatika Terapan (JENTIK)
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v1i4.463

Abstract

Electricity usage in Indonesia has become an essential part of daily life, steadily increasing over the years. According to the Central Statistics Agency, per capita electricity consumption was 0.91 MWH in 2015, rising to 1.09 MWH in 2020. This upward trend can be curbed with technological advancements. In many buildings, lights and fans are manually controlled through switches. While suitable for small spaces, this method becomes inefficient and leads to energy wastage in larger buildings with multiple rooms, often going unnoticed. Additionally, the perception of electricity wastage varies among individuals, depending on their habits. To address this, a smart IoT-based system with Google Assistant control has been designed. The system employs NodeMCU ES8266 microcontroller, DHT11 sensors, 2-channel relay, USB fans, 5W light bulbs, Google Home, Google Assistant, and Sinric Pro. Tested in a black box scenario, the system achieved an accuracy rate of 83%. The DHT11 sensor exhibited a maximum error of 5% for temperature readings and 1% for humidity. The overall error for DHT11 sensor readings ranged from 13% to 8%.