Temperature Control System Of Calibration Equipment Storage Using Fuzzy Logic Method

Prabowo, Dennis Danan (2022) Temperature Control System Of Calibration Equipment Storage Using Fuzzy Logic Method. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Ruang penyimpanan alat kalibrasi sesuai dengan ketetapan ISO 17025:2017 adalah memiliki temperatur 20℃ dengan toleransi temperatur ±2℃ dan kelembaban 60%-70%, kemudian data yang diperoleh harus dipelihara dan disimpan dengan baik sebagai salah satu syarat akreditasi dari Komite Akreditasi Nasional (KAN). Pada ruang penyimpanan alat kalibrasi masih menggunakan Air Conditioner (AC) secara manual untuk mengontrol temperatur ruangan dengan set point 20℃ dan pengambilan data temperatur ruangan juga dilakukan secara manual pada pagi, siang, dan sore setiap harinya. Data temperatur yang diambil sebelumnya menggunakan satu buah thermometer air raksa sehingga data yang diperoleh kurang akurat karena belum merepresentasikan temperatur ruangan secara menyeluruh dan pengambilan data tidak memiliki ketetapan waktu di jam yang sama pada pagi, siang, sore hari. Pembuatan alat ini bertujuan untuk mengontrol temperatur ruang penyimpanan alat kalibrasi secara otomatis menggunakan metode Logika Fuzzy dengan empat buah sensor untuk mendapatkan data temperatur ruangan. Data dapat disimpan dan tampilkan pada website, sehingga data temperatur ruangan dapat tercatat setiap waktu dan dapat diolah setiap saat.
Hasil pengujian yang didapatkan dalam pengontrolan temperatur ruangan menggunakan Logika Fuzzy 39.8 detik lebih cepat dibandingkan tanpa menggunakan metode Logika Fuzzy untuk mencapai set point 20℃. Pada pengujian menggunakan metode Logika Fuzzy didapatkan error steady state sebesar 1.35%. Sedangkan tanpa metode Logika Fuzzy didapatkan error steady state sebesar 6.7%. Hal ini menunjukkan peran dari Logika Fuzzy lebih baik dalam mengontrol temperatur ruangan supaya tidak naik atau turun terlalu jauh dari set point dibandingkan tanpa metode Logika Fuzzy. Untuk pengiriman data ke website memiliki rata rata delay waktu pengiriman 5.6 detik.
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The calibration equipment storage room in accordance with the provisions of ISO 17025:2017 is to have a temperature of 20℃ with a temperature tolerance of ±2℃ and a humidity of 60%-70%, then the data obtained must be maintained and stored properly as one of the accreditation requirements of the Komite Akreditasi Nasional (KAN). In the storage room, the calibration tool still uses the Air Conditioner (AC) manually to control the room temperature with a set point of 20℃ and the room temperature data collection is also done manually in the morning, afternoon, and evening every day. Temperature data taken previously using a mercury thermometer so that the data obtained is less accurate because it does not represent the room temperature as a whole and data collection does not have a fixed time at the same time in the morning, afternoon, evening. Making this tool aims to control the temperature of the storage room of the calibration tool automatically using the Fuzzy Logic method with four sensors to obtain room temperature data. Data can be stored and displayed on the website, so that room temperature data can be recorded at any time and can be processed at any time.
The test results obtained in controlling the room temperature using Fuzzy Logic is 39.8 second faster than without using the Fuzzy Logic method to reach a set point of 20℃. In testing using the Fuzzy Logic method, a steady state error of 1.35% was obtained. Meanwhile, without the Fuzzy Logic method, a steady state error of 6.7% was obtained. This shows the role of Fuzzy Logic is better in controlling the room temperature so that it does not rise or fall too far from the set point than without the Fuzzy Logic method. For sending data to the website, the average delay is 5.6 seconds.

Item Type:	Thesis (Other)
Additional Information:	RSEO 629.89 Pra s-1
Uncontrolled Keywords:	ISO 17025:2017, Fuzzy Logic, Temperature, Room, Logika Fuzzy, Temperatur, Ruangan
Subjects:	Q Science > QA Mathematics > QA9.64 Fuzzy logic
Divisions:	Faculty of Vocational > 36304-Automation Electronic Engineering
Depositing User:	- Davi Wah
Date Deposited:	17 Apr 2023 07:02
Last Modified:	17 Apr 2023 07:02
URI:	http://repository.its.ac.id/id/eprint/97876

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