Penggunaan Moving Average Historical Data Pada Website Monitoring Untuk Pengukuran Suhu Motor Induksi Satu Fasa

Faishol, Kurniawan Ali (2021) Penggunaan Moving Average Historical Data Pada Website Monitoring Untuk Pengukuran Suhu Motor Induksi Satu Fasa. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kumpulan halaman dalam suatu domain yang memuat berbagai
informasi agar mudah dibaca dan dilihat adalah website. Informasi yang dapat dimuat dalam sebuah website pada umumnya mengenai konten gambar, ilustrai, video dan teks untuk berbagai macam kepentingan.
Penulis mengimplementasikan rancang bangun website secara localhost sebagai monitoring data sensor suhu pada motor induksi satu fasa. Data yang didapatkan pada pembacaan sensor suhu terdapat nilai yang tidak terbaca, nilai suhu yang naik dan nilai suhu yang turun jauh dari batas range yang seharusnya. Pada Proyek Akhir ini dibuat sistem untuk meminimalisir kesalahan hasil pengukuran pada sensor berbiaya murah. Sensor yang digunakan adalah sensor suhu DS18B20, sensor tersebut digunakan untuk mengukur suhu pada motor induksi satu fasa. Moving Average digunakan untuk membuang pencilan data historical sensor suhu, sehingga didapatkan data yang lebih relevan.
Pengujian dilakukan melalui berbagai skenario, pengujian pada website dan penggunaan metode Moving Average. Pengujian Moving Average sebagai filter data didapatkan grafik yang lebih stabil pada pengujian pertama dan kedua. Pengujian metode Moving Average pada pengukuran tersebut mendekati data yang diharapkan karena pada sensor suhu DS18B20 memiliki akurasi ketepana pengukuran ± 0,05 ⁰C
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A collection of pages in a domain that contains various
information for easy reading and viewing is a website. Information that can be contained on a website is generally about image, illustration, video and text content for various purposes. The author implements a website design on a localhost basis as monitoring temperature sensor data on a single-phase induction motor. The data obtained from the temperature sensor readings contained unreadable values, the temperature values rose and the temperature values fell far from the proper range limit. In this final project, a system is made to minimize measurement errors on low-cost sensors. The sensor used is the DS18B20 temperature sensor, the sensor is used to measure the temperature of a single phase induction motor. Moving Average is used to remove the historical temperature sensor data outliers, so that more relevant data is obtained. Testing is done through various scenarios, testing on the website and using the Moving Average method. Moving Average testing as a data filter obtained a more stable graph in the first and second tests. Testing the Moving Average method on these measurements is close to the expected data because the DS18B20 temperature sensor has a measurement accuracy of ± 0.05 C.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Monitoring Website, Iot, Moving Average, Peramalan, Forecasting
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2785 Electric motors, Induction.
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK4055 Electric motor
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.585 TCP/IP (Computer network protocol)
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.888 Web sites--Design. Web site development.
Divisions: Faculty of Vocational > 36304-Automation Electronic Engineering
Depositing User: Kurniawan Ali Faishol
Date Deposited: 02 Sep 2021 14:01
Last Modified: 02 Sep 2021 14:01
URI: http://repository.its.ac.id/id/eprint/91379

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