English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

PLN customer power consumption from the household sector is quite large, originating from the use of household appliances, such as refrigerators, televisions, dispensers, lamps and air conditioners. When users feel that their electricity usage is wasteful, they do not know in detail which household electrical appliances consume the most electricity. At this time customers still find it difficult to monitor the power usage of every household electrical appliance. So it is not known which equipment consumes large amounts of electrical energy. For this reason, a monitoring system for household electrical power usage is needed. This system can be used by PLN household sector customers to find out which household appliances use large power, so customers can manage the use of household appliances. To do this monitoring, a wattmeter device is needed that is able to measure the power use of household electronic equipment. The results of this measurement are measured current data through the current sensor. So that monitoring can be done through the system in real time, the measurement data is sent to the monitoring system database server via the internet of things (IoT) devices. Data generated from the monitoring system can be analyzed using prediction techniques, to obtain information about the length of time the availability of electrical energy has been purchased by the customer. One algorithm that can be used to predict the use of household electrical power is the CART algorithm. This research aims to build a monitoring system for power usage for each IoT -based household appliances. This research aims to build a monitoring system for power usage for each IoT-based household appliances. The second objective of this research is to apply CART algorithm to predict the power usage of household appliances.

Implementation of cart Algorithm for Monitoring System and Prediction of Electric Power use of IOT-Based Household Equipment