COLLECTING DATA KONSUMSI ENERGI LISTRIK DENGAN IMPLEMENTASI IOT DAN FUZZY RULE MINING

Biasrori, Rival (2018) COLLECTING DATA KONSUMSI ENERGI LISTRIK DENGAN IMPLEMENTASI IOT DAN FUZZY RULE MINING. S1 thesis, Universitas Mataram.

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Abstract

Electrical energy is one of the needs of modern society which is very important and vital [1]. To measure power as a whole, resources for measuring equipment and people who control the use of energy are not cheap. For this reason, a relatively Internet of Things-based measurement system and artificial intelligence are needed. The system will be developed web-based with centralized processing and nodes for measuring power at load. To get data, sensors that can detect voltage and current are used, these sensors will send data through the internet by using IoT equipment to store data to the server. Data will be recorded using the PZEM-004T sensor and the results of the data will be mining using sequence mining to obtain a fuzzy membership degree in which the degree of membership is input to the results of the energy consumption decision support system later.

Item Type: Thesis (S1)
Keywords (Kata Kunci): IoT, PZEM 004t Sensor, Sequence Mining, Fuzzy, Decision Support system.
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Teknik
Depositing User: Wiwin Kartikawati
Date Deposited: 11 Feb 2019 02:22
Last Modified: 11 Feb 2019 02:22
URI: http://eprints.unram.ac.id/id/eprint/12124

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