Rancang Bangun Alat Pemilah Sampah Otomatis Berbasis Arduino Mega 2560

Jurnal Go Infotech

View Publication Info
 
 
Field Value
 
Title Rancang Bangun Alat Pemilah Sampah Otomatis Berbasis Arduino Mega 2560
 
Creator Nugroho, Ernes Cahyo; STMIK AUB Surakarta
Pamungkas, Anton Respati; STMIK AUB Surakarta
Purbaningtyas, Ika Parlina; STMIK AUB Surakarta
 
Subject Sistem Komputer; Computer Engineering; Arduino Mega 2560; Robotika; Mikrokontroler
Trash, Arduino Mega, Proximity Sensor, Inorganic, organic, metallic, Ultrasonic Sensors
 
Description Dumpster management system on Village/Warukkalong Village, RT/RW: 05/01, Kecamatan Kwadungan, Ngawi, East Java still conventional, i.e. the place one container of trash and garbage not disposed of according the trash, which affects trash piled up on one container of trash that impact to the declining environmental quality. Automatic trash can is one of the alternatives that can be used to sort out the type of garbage so that waste management more effectively in order to increase comfort and maximum possible waste reduction. Parser tools architecture garbage garbage sorting type aiming for, so that waste can be separated based on the type of waste, whether inorganic or organic waste garbage can be processed. The garbage will be disaggregated automatically by using a Sensor. The sensor used in auto IE trash proximity capacitive to detect an-organic, as well as inductive proximity to detect the types of bins, and Ultrasonic sensors to detect the height of the garbage and LCD to display the condition and type of garbage. The results of testing on the bin automatically is the maximum size that can be entered approximately 5 cm x 10 cm with a time of 10-17 seconds from the first go in the garbage into the trash until the end.
 
Publisher Sekolah Tinggi Manajemen Informatika dan Komputer AUB - Indonesia
 
Contributor STMIK AUB Surakarta
 
Date 2018-12-05
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://jurnal.stmik-aub.ac.id/index.php/goinfotech/article/view/96
10.36309/goi.v24i2.96
 
Source Go Infotech: Jurnal Ilmiah STMIK AUB; Vol 24, No 2 (2018): December; HAL. 124-133
2686-4711
1693-590X
10.36309/goi.v24i2
 
Language eng
 
Relation http://jurnal.stmik-aub.ac.id/index.php/goinfotech/article/view/96/92
10.36309/goi.v24i2.96.g92
 
Rights Copyright (c) 2020 Go Infotech: Jurnal Ilmiah STMIK AUB
 

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us

Twitter

Copyright © 2015-2018 Simon Fraser University Library