Impact of Fuzzy Tsukamoto in Controlling Room Temperature and Humidity

Sunardi Sunardi; Anton Yudhana; Furizal Furizal

doi:10.29407/intensif.v7i2.19652

Authors

Sunardi Universitas Ahmad Dahlan http://orcid.org/0000-0001-9725-4151
Anton Yudhana Universitas Ahmad Dahlan http://orcid.org/0000-0001-5451-454X
Furizal Universitas Ahmad Dahlan http://orcid.org/0000-0001-6042-3986

DOI:

https://doi.org/10.29407/intensif.v7i2.19652

Keywords:

Fuzzy Logic, Duty Cycle, Temperature, Humidity, Room Control

Abstract

Dry season is a season where the room temperature exceeds the needs of the body so that it is unpleasant, unhealthy and can interfere with human productivity. In addition, the efficiency of use and resource requirements are also a concern for some people. To overcome this problem, an automatic room temperature control device was created using the ESP32 microcontroller with Tsukamoto's fuzzy algorithm optimization as a data processing technique to produce optimal fan speeds in duty cycle units based on temperature and humidity conditions in realtime. Four tests by running a fan for 30 minutes on each showed that the average difference between the maximum and minimum temperatures in the room was 0.95°C, while the average difference between maximum and minimum humidity was 2.0%. In addition, the test graph shows that when the fan is rotated in a closed room without air circulation, the relative temperature change increases from the initial minute to the last minute of the test. Meanwhile, changes in relative humidity decrease, although fluctuations increase within 1-4 minutes. This study found that fans are not effective in lowering room temperature optimally. Therefore, it is recommended to replace with an exhaust fan in future research.

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Author Biographies

Sunardi, Universitas Ahmad Dahlan

Department of Electrical Engineering, Universitas Ahmad Dahlan, Yogyakarta, Indonesia

Anton Yudhana, Universitas Ahmad Dahlan

Department of Electrical Engineering, Universitas Ahmad Dahlan, Yogyakarta, Indonesia

Furizal, Universitas Ahmad Dahlan

Master program of Informatics, Universitas Ahmad Dahlan, Yogyakarta, Indonesia

References

A. Efendi, A. Nugraha, and R. Baharta, “Manufacturing of electrical dryer machine for food and fruit products,” IOP Conf Ser Mater Sci Eng, vol. 692, no. 1, pp. 0–6, 2019, doi: 10.1088/1757-899X/692/1/012006.

M. U. Adaji, T. O. Adekunle, R. Watkins, and G. Adler, “Indoor comfort and adaptation in low-income and middle-income residential buildings in a Nigerian city during a dry season,” Build Environ, vol. 162, no. June 2019, p. 106276, 2019, doi: 10.1016/j.buildenv.2019.106276.

B. Morabito et al., “Multi-stage Event-triggered Model Predictive Control for Automated Trajectory Drilling,” IFAC-PapersOnLine, vol. 53, pp. 9478–9483, 2020, doi: 10.1016/j.ifacol.2020.12.2421.

P. Gatarić, B. Širok, M. Hočevar, and L. Novak, “Modeling of heat pump tumble dryer energy consumption and drying time,” Drying Technology, vol. 37, no. 11, pp. 1396–1404, Aug. 2019, doi: 10.1080/07373937.2018.1502778.

P. MacHeso, S. Chisale, C. Daka, N. Dzupire, J. Mlatho, and D. Mukanyirigira, “Design of Standalone Asynchronous ESP32 Web-Server for Temperature and Humidity Monitoring,” 2021 7th International Conference on Advanced Computing and Communication Systems, ICACCS 2021, pp. 635–638, 2021, doi: 10.1109/ICACCS51430.2021.9441845.

A. Yudhana et al., “Multi sensor application-based for measuring the quality of human urine on first-void urine,” Sens Biosensing Res, vol. 34, no. September, p. 100461, 2021, doi: 10.1016/j.sbsr.2021.100461.

N. H. Wijaya, A. Yudhana, Robiyansah, and D. Sukwono, “X-Ray machine control with wireless based on mA parameters,” IOP Conf Ser Mater Sci Eng, vol. 1088, no. 1, p. 012080, 2021, doi: 10.1088/1757-899x/1088/1/012080.

A. Yudhana, Sunardi, and Priyatno, “Development of Door Safety Fingerprint Verification using Neural Network,” J Phys Conf Ser, vol. 1373, no. 1, 2019, doi: 10.1088/1742-6596/1373/1/012053.

M. A. Duesa and K. R. T. P. Sari, “Monitoring and Notification System Air Quality Against Carbon Monoxide in The Study Room IoT based,” INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi, vol. 5, no. 1, pp. 121–133, Feb. 2021, doi: 10.29407/intensif.v5i1.14844.

A. Yudhana, D. Sulistyo, and I. Mufandi, “GIS-based and Naïve Bayes for nitrogen soil mapping in Lendah, Indonesia,” Sens Biosensing Res, vol. 33, no. June, p. 100435, 2021, doi: 10.1016/j.sbsr.2021.100435.

D. H. Kusuma and M. N. Shodiq, “Sistem Presentasi Cerdas Menggunakan Pengenalan Gerakan Tangan Berdasarkan Klasifikasi Dari Sinyal Electromyography (EMG) Menggunakan Myo Armband,” INTENSIF, vol. 2, no. 1, p. 36, Feb. 2018, doi: 10.29407/intensif.v2i1.11939.

A. Yudhana, J. Rahmawan, and C. U. P. Negara, “Flex sensors and MPU6050 sensors responses on smart glove for sign language translation,” IOP Conf Ser Mater Sci Eng, vol. 403, no. 1, 2018, doi: 10.1088/1757-899X/403/1/012032.

D. Kucuk Matci and U. Avdan, “Optimization-based automated unsupervised classification method: A novel approach,” Expert Syst Appl, vol. 160, 2020, doi: 10.1016/j.eswa.2020.113735.

K. Das, S. Samanta, U. Naseem, S. Khalid Khan, and K. De, “Application of Fuzzy Logic in the Ranking of Academic Institutions,” Fuzzy Information and Engineering, vol. 11, no. 3, pp. 295–306, 2019, doi: 10.1080/16168658.2020.1805253.

A. Amini and N. Nikraz, “A Fuzzy Approach for Maintenance Management of Urban Roadway Bridges,” Fuzzy Information and Engineering, vol. 11, no. 1, pp. 12–38, 2019, doi: 10.1080/16168658.2021.1886810.

F. Fatemipour and M. R. Akbarzadeh-T, “Dynamic Fuzzy Rule-based Source Selection in Distributed Decision Fusion Systems,” Fuzzy Information and Engineering, vol. 10, no. 1, pp. 107–127, 2018, doi: 10.1080/16168658.2018.1509524.

W. Cahyadi, A. R. Chaidir, and F. Anda, “Penerapan Logika Fuzzy Sebagai Alat Deteksi Hipotermia dan Hipertermia pada Manusia Berbasis Internet of Thing ( IoT ),” vol. 17, no. 2, pp. 94–99, 2021, doi: 10.17529/jre.v17i2.15670.

S. Sunanto, R. Firdaus, and Makmur Setiawan Siregar, “Implementasi Logika Fuzzy Mamdani Pada Kendali Suhu dan Kelembaban Ruang Server,” Jurnal CoSciTech (Computer Science and Information Technology), vol. 2, no. 2, pp. 128–136, Dec. 2021, doi: 10.37859/coscitech.v2i2.3362.

M. Khairudin et al., “Temperature Control Based on Fuzzy Logic Using Atmega 2560 Microcontroller,” J Phys Conf Ser, vol. 1737, no. 1, p. 012044, Jan. 2021, doi: 10.1088/1742-6596/1737/1/012044.

C. Danuputri, “Penentuan Kecepatan Putar Kipas Angin dan Intensitas Lampu dengan Fuzzy Logic Mamdani,” Jurnal Algoritma, Logika dan Komputasi, vol. 3, no. 2, Dec. 2020, doi: 10.30813/j-alu.v3i2.2455.

N. Lestari, N. K. Daulay, and Armanto, “Simulasi Monitoring Pengatur Kecepatan Kipas Angin Menggunakan Sistem Fuzzy Berbasis Web,” Jire, vol. 3, no. 1, pp. 48–57, 2020.

I. Zulkarnain, Z. Azmi, A. Pranata, and F. R. Hidayat, “Sistem Kendali Temperature dan Humadity Pada Kotak Penyimpanan Kamera DSLR Menggunakan Metode Fuzzy Berbasis Arduino,” Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer), vol. 18, no. 1, p. 75, Feb. 2019, doi: 10.53513/jis.v18i1.107.

E. Gatial, Z. Balogh, and L. Hluchy, “Concept of Energy Efficient ESP32 Chip for Industrial Wireless Sensor Network,” INES 2020 - IEEE 24th International Conference on Intelligent Engineering Systems, Proceedings, pp. 179–183, 2020, doi: 10.1109/INES49302.2020.9147189.

A. Faroqi, M. R. Efendi, D. T. Ismail, and W. Darmalaksana, “Design of arduino uno based duck egg hatching machine with sensor DHT22 and PIR sensor,” Proceedings - 2020 6th International Conference on Wireless and Telematics, ICWT 2020, pp. 14–17, 2020, doi: 10.1109/ICWT50448.2020.9243640.

Y. C. Chen, M. Syamsudin, and W. Xu, “An Internet of Things Thermostat Sensor Developed with an Arduino Device Using a Recursively Digital Optimization Algorithm,” Journal of Information Hiding and Multimedia Signal Processing, vol. 10, no. 3, pp. 434–446, 2019.

A. Prasetyo, Moh. B. Setyawan, Y. Litanianda, S. Sugianti, and F. Masykur, “Fuzzy Method Design for IoT-Based Mushroom Greenhouse Controlling,” INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi, vol. 6, no. 1, pp. 81–91, Feb. 2022, doi: 10.29407/intensif.v6i1.16786.

W. A. Winata, K. Anam, and R. Chaidir, “Robot Beroda Pendeteksi Gas Karbon Monoksida dan Metana Berbasis IoT Menggunakan Metode Finite State Machine dan Fuzzy Logic,” vol. 18, no. 1, pp. 20–27, 2022, doi: 10.17529/jre.v18i1.24485.

M. Gharieb, T. Nishikawa, S. Nakamura, and K. Thepvongsa, “Application of Adaptive Neuro–Fuzzy Inference System for Forecasting Pavement Roughness in Laos,” Coatings, vol. 12, no. 3, 2022, doi: 10.3390/coatings12030380.

E. Sonalitha, B. Nurdewanto, S. Ratih, N. R. Sari, A. B. Setiawan, and P. Tutuko, “Comparative Analysis of Tsukamoto and Mamdani Fuzzy Inference System on Market Matching to Determine the Number of Exports for MSMEs,” 2018 Electrical Power, Electronics, Communications, Controls and Informatics Seminar, EECCIS 2018, pp. 440–445, 2018, doi: 10.1109/EECCIS.2018.8692989.

A. Rusmardiana, T. Y. Akhirina, D. Yulistyanti, and U. Pauziah, “A Web-Based High School Major Decision Support System in Banten Using Tsukamoto’s Fuzzy Method,” Proceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018, pp. 233–238, 2018, doi: 10.1109/ISITIA.2018.8711337.

O. M. Olabanji and K. Mpofu, “Hybridized fuzzy analytic hierarchy process and fuzzy weighted average for identifying optimal design concept,” Heliyon, vol. 6, no. 1, p. e03182, 2020, doi: 10.1016/j.heliyon.2020.e03182.

P. Böröcz, “Decision on single-use and reusable food packaging: searching for the optimal solution using a fuzzy mathematical approach,” J Sci Food Agric, no. October 2021, 2022, doi: 10.1002/jsfa.11745.

A. Setiawan, E. R. Arumi, and P. Sukmasetya, “Fuzzy membership functions analysis for usability evaluation of online credit hour form,” Journal of Engineering Science and Technology, vol. 15, no. 5, pp. 3189–3203, 2020.

A. Setyono and S. N. Aeni, “Development of decision support system for ordering goods using fuzzy Tsukamoto,” International Journal of Electrical and Computer Engineering, vol. 8, no. 2, pp. 1182–1193, 2018, doi: 10.11591/ijece.v8i2.pp1182-1193.

T. Sutikno, A. C. Subrata, and A. Elkhateb, “Evaluation of Fuzzy Membership Function Effects for Maximum Power Point Tracking Technique of Photovoltaic System,” IEEE Access, vol. 9, pp. 109157–109165, 2021, doi: 10.1109/ACCESS.2021.3102050.

P. G. Singerman, S. M. Orourke, R. M. Narayanan, and M. Rangaswamy, “Language-Based Cost Functions: Another Step Toward a Truly Cognitive Radar,” IEEE Trans Aerosp Electron Syst, vol. 57, no. 6, pp. 3827–3843, 2021, doi: 10.1109/TAES.2021.3082714.

A. P. C. de Sena, I. S. de Freitas, A. C. L. Filho, and C. A. N. Sobrinho, “Fuzzy diagnostics for gearbox failures based on induction motor current and wavelet entropy,” Journal of the Brazilian Society of Mechanical Sciences and Engineering, vol. 43, no. 5, pp. 1–15, 2021, doi: 10.1007/s40430-021-02964-z.

V. Ouellet, J. Mocq, S. E. el Adlouni, and S. Krause, “Improve performance and robustness of knowledge-based FUZZY LOGIC habitat models,” Environmental Modelling and Software, vol. 144, no. July, 2021, doi: 10.1016/j.envsoft.2021.105138.

E. F. Yogachi, V. M. Nasution, and G. Prakarsa, “Design and Development of Fuzzy Logic Application Mamdani Method in Predicting The Number of Covid-19 Positive Cases in West Java,” IOP Conf Ser Mater Sci Eng, vol. 1115, no. 1, p. 012031, 2021, doi: 10.1088/1757-899x/1115/1/012031.

Y. Liu, C. M. Eckert, and C. Earl, “A review of fuzzy AHP methods for decision-making with subjective judgements,” Expert Syst Appl, vol. 161, p. 113738, 2020, doi: 10.1016/j.eswa.2020.113738.

M. Rezaei and M. Rajabi, “Assessment of plastic zones surrounding the power station cavern using numerical, fuzzy and statistical models,” Eng Comput, vol. 37, no. 2, pp. 1499–1518, 2021, doi: 10.1007/s00366-019-00900-3.

M. T. Çakir and Ç. Ün, “CFD Analysis of Smoke and Temperature Control System of Car Park Area with Jet Fans,” Journal of Engineering Research and Reports, pp. 27–40, Jun. 2020, doi: 10.9734/jerr/2020/v13i317102.

B. A. Suryawinata, Y. Mariana, and S. Wijaksono, “Portable architecture studio recording video as solution for space limitation,” IOP Conf Ser Earth Environ Sci, vol. 426, no. 1, p. 012076, Feb. 2020, doi: 10.1088/1755-1315/426/1/012076.