Temperature and Humidity Control Systems for Dryer Machines in Industrial Salt Factory Based on Fuzzy Logic
DOI:
https://doi.org/10.30587/ivrj.v2i1.5011Keywords:
Internet of Thing and monitoringAbstract
At this time the industrial era entered 4.0 which is known as the industrial revolution. The existence of the industrial era 4.0 has many benefits to support everyday human life. These developments relate to the automation and exchange of information technology as wellOne of the manufacturing industry processes is the Internet of Things (IoT). This article will discuss how to implement the Internet of Things (IoT) in the Salt Industry Factory, In the process of making salt, it is very important to monitor, one of which is the drying process in the dryer. In the drying process must have a stable temperature and humidity. From the analysis of QC (Quality Control) workers, salt which after the drying process changes color to yellowish which does not match the desired quality. Therefore it is necessary to control the temperature of the dryer which can be monitored via Android.
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AS Rafika, Sudaryono, & WD Andoyo. (2014). Prototype Design of Room Temperature Automatic Reading System Using Fan Output and LM35 Sensor Based on ATmega16 Microcontroller. 8, 102-111.
Arafat & Ibrahim. (2020). Green House Temperature and Humidity Control Monitoring Tool System Based on the Internet of Things. 21(1).
Aulia, R., Rahmat, AF, & Imran, L. (2021). Arduino-Based Fan Room Temperature Controller and DHT11. (Journal of Computer Engineering Systems and Science. 6(1).
Darwinson, R. Wahyudi. (2015). Speed Control of Hexapod Fire Extinguisher Robot Using Fuzzy Logic Method, National Journal of Electrical Engineering. 4, 227-234.
Fathulrohman, Yusuf, NI, Saepulloh., & Asep. (2018). Temperature and Humidity Monitoring Tool Using Arduino Uno. Journal of Management and Informatics Engineering, 2(1),161-170.
H. Guntoro, Y. Somantri, E. Haritman. (2013). Design of Magnetic Door Lock Using Keypad and Solenoid Based on Arduino Uno Microcontroller, Electrans. 12, 39-48.
H. Nainggolan, & M. Yusfi. (2013). Design of a Temperature and Relative Humidity Control System in a Room Using a DC Motor Based on an ATmega8535 Microcontroller, Journal of Physics Unand. 2, 1-5.
Hidayati, N., Aisuwarya, Ratna, & Putri, RE, (2017). Rice Warmer Temperature Stability Control System Using Fuzzy Logic Method.
Huda, MBR (2022). Analysis of Temperature Control System Using Arduino Microcontroller Based DS18b20 Sensor. 7(2), 18-23.
Islam, HI, Nida, N., Sofyan, SS, Dendy, HS, Gagat. MP, Ade. K., … Izraman. (2016). Arduino Uno-Based Room Air Humidity Control and Control System Using DHT22 and Passibe Infrared Sensors. E-Journal Proceedings of the National Seminar on Physics. 5.
Istifada. (2015). Manufacture of an Arduino Uno-based Temperature and Humidity Measurement Tool with DHT22 at the Class III Meteorological Station BMKG Citeko.Bogor, Indonesia.
L. Aprilianto, Priyambodo Kindergarten. (2014). Automatic Fire Extinguishing with Room Temperature and Humidity Control Using Fuzzy Logic, IJEIS. 4, 189-200.
M. Ichwan, MG Husada, & MIA Rasyid. (2013). Development of an Electrical Equipment Control System Prototype on the Android Platform, Journal of Informatics. 1, 13-25.
Mardhiyya, A., Fajar, R., & Nurfajriah. (2020). Design of a Notification System and Control of Temperature and Humidity Using the Blynk Application for Oyster Mushroom Cultivation. 11(1).
Masturi, M., Bayu, E., & Andrian, R. (2017). Prototype Of Automation Of Water Content Based On Fuzzy Logic.
Muhamad, I., Pangaribuan, P., & Wibowo, AS, (2017). Design and Implementation of Microcontroller Based Water Temperature Controller. eProceedings of Engineering. 4(1), 53-59.
Muttaqin, IR, Dian, BS (2021). Arduino Uno Based Automatic Fence Prototype With Hc-SR04 Ultrasonic Sensor. Retrieved November 21, 2022, from https//www.jurnalteknik.unisla.ac.id/index.php/elektronic
P. Mandarani, & Zaini. (2015). Development of a Monitoring System for a Web-Based Building Automation System (BAS) at the Faculty of Engineering, Andalas University, Journal of Electrical Engineering ITP. 4, 7-16.
Primary, A, P. (2022). Brine Water Quality Control System in Industrial Salt Factory Based on Fuzzy Logic.
Purba, Dina, S., Pangaribuan, P., & Wibowo, AS (2018). Controlling Water Temperature Based On Heating Duration Using Fuzzy Logic And Pi Controller. eProceedings of Engineering. 5(3),4011-4017.
RH Zain. (2013). Room Security System Using Passive Infrared (PIR) Sensors Equipped with Lighting Controls in Rooms Based on Microcontroller ATmega8535 and Real Time Clock, Journal of Information Technology and Education. 6, 146-162.
Rahmatullah, W. (2014). Design of DHT22 Sensor Based Data Logger to Measure Real-Time Temperature and Humidity of Herpetofauna Habitat. Bogor Agricultural Institute, Bogor, Indonesia.
SA Nugroho. (2013). Room Temperature Detector with Manual Adjustment Button Based on AT89S51 Microcontroller, Seruni- FTI UNSA National Leading Research Seminar on Informatics and Computers. 2, 15-21.
Subandi. (2013). Monitoring and Controlling Temperature Using GPRS Media on GSM Cellphones, Journal of Technology Technoscientia. 5.207-210.
Syahputra, A., Dedek, IGH, & Samsir. (2019). Multimedia-Based Addition and Subtraction Learning Media Application Design. 3(1),35-42. DOI: 10.52332/u-net.v3i1.20.
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Published
2022-12-30
How to Cite
Hanafi, F., & Irawan, D. (2022). Temperature and Humidity Control Systems for Dryer Machines in Industrial Salt Factory Based on Fuzzy Logic. Indonesian Vocational Research Journal, 2(1), 112–117. https://doi.org/10.30587/ivrj.v2i1.5011
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