Power Meter Monitoring for Home Appliances Based on Mobile Data Communication
| Main Authors: | Soeharwinto, Soeharwinto, Siregar, Baihaqi, Ariska, M.Fadhlan, Andyani, Ulfi, Fahmi, Fahmi |
|---|---|
| Format: | Proceeding PeerReviewed Thesis |
| Terbitan: |
, 2017
|
| Subjects: | |
| Online Access: |
http://kc.umn.ac.id/2792/ |
| ctrlnum |
2792 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><relation>http://kc.umn.ac.id/2792/</relation><title>Power Meter Monitoring for Home Appliances
Based on Mobile Data Communication</title><creator>Soeharwinto, Soeharwinto</creator><creator>Siregar, Baihaqi</creator><creator>Ariska, M.Fadhlan</creator><creator>Andyani, Ulfi</creator><creator>Fahmi, Fahmi</creator><subject>TX Home economics</subject><subject>TX1100-1105 Mobile home living</subject><description>With the current kWh meter technology installed by
PLN (National Electricity Power Company),home users are
supplied with electricity consumption information only within a
single month. It is difficult for users to observe the change in
electricity consumption for further monitoring and planning. In
this study, we proposed a tool that can calculate the amount of
electricity consumed by home appliances users and send the
data in real time and online to the server. This way, users can
see the usage of electrical energy periodically. Sensors like
current transformator and power transformatorwere used for
this, and the3G module was utilized for data communication.
Arduino was used as themain controller of the smart power
meter. As a result, we obtained accuracy of current readings
was in therange from 88.33% to 99.29%, and accuracy of the
voltage readings was in therange from 99.02% to 99.96%
compared to standard measurement tools.The result indicated
the possibility of using the smart power meter for wider users</description><date>2017</date><type>Journal:Proceeding</type><type>PeerReview:PeerReviewed</type><identifier> Soeharwinto, Soeharwinto and Siregar, Baihaqi and Ariska, M.Fadhlan and Andyani, Ulfi and Fahmi, Fahmi (2017) Power Meter Monitoring for Home Appliances Based on Mobile Data Communication. In: Proceedings of 2017 International Conference on Smart Cities, Automation & Intelligent Computing Systems (ICON-SONICS 2017), 08 November 207, Yogyakarta. </identifier><recordID>2792</recordID></dc>
|
| format |
Journal:Proceeding Journal PeerReview:PeerReviewed PeerReview Thesis:Thesis Thesis |
| author |
Soeharwinto, Soeharwinto Siregar, Baihaqi Ariska, M.Fadhlan Andyani, Ulfi Fahmi, Fahmi |
| title |
Power Meter Monitoring for Home Appliances
Based on Mobile Data Communication |
| publishDate |
2017 |
| topic |
TX Home economics TX1100-1105 Mobile home living |
| url |
http://kc.umn.ac.id/2792/ |
| contents |
With the current kWh meter technology installed by
PLN (National Electricity Power Company),home users are
supplied with electricity consumption information only within a
single month. It is difficult for users to observe the change in
electricity consumption for further monitoring and planning. In
this study, we proposed a tool that can calculate the amount of
electricity consumed by home appliances users and send the
data in real time and online to the server. This way, users can
see the usage of electrical energy periodically. Sensors like
current transformator and power transformatorwere used for
this, and the3G module was utilized for data communication.
Arduino was used as themain controller of the smart power
meter. As a result, we obtained accuracy of current readings
was in therange from 88.33% to 99.29%, and accuracy of the
voltage readings was in therange from 99.02% to 99.96%
compared to standard measurement tools.The result indicated
the possibility of using the smart power meter for wider users |
| id |
IOS6965.2792 |
| institution |
Universitas Multimedia Nusantara |
| institution_id |
355 |
| institution_type |
library:university library |
| library |
Perpustakaan Universitas Multimedia Nusantara |
| library_id |
306 |
| collection |
Knowledge Center UMN |
| repository_id |
6965 |
| subject_area |
Business/Bisnis Communication/Komunikasi Art Apreciation/Apresiasi Seni Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika |
| city |
TANGERANG |
| province |
BANTEN |
| shared_to_ipusnas_str |
1 |
| repoId |
IOS6965 |
| first_indexed |
2019-04-04T01:21:38Z |
| last_indexed |
2019-04-04T01:21:38Z |
| recordtype |
dc |
| _version_ |
1683865391882829824 |
| score |
17.609869 |