Temperature and Humidity Control System with Air Conditioner Based on Fuzzy Logic and Internet of Things

Furizal Furizal, Sunardi Sunardi, Anton Yudhana

Abstract


Work is an activity that takes most of the day to earn a living and improve the standard of living. During work, many people have to work indoors, which can be a less comfortable and unhealthy place if the temperature and humidity are not well controlled. Unsuitable temperature and humidity conditions can negatively affect the health and comfort of workers, as well as interfere with productivity and work quality. However, the problem that often arises is the difficulty of controlling room temperature and humidity effectively, especially in rooms that are closed and do not get air circulation from outside. Therefore, an effective solution is needed to control the temperature and humidity of the room automatically and remotely via the internet. The contribution of this research is to develop an effective and efficient AC control system in controlling room temperature and humidity using Tsukamoto's Fuzzy Inference System (FIS) method and the Internet of Things (IoT). Tsukamoto's FIS is used to produce AC temperature values in room temperature and humidity control as measured by the DHT22 sensor directly integrated with the ESP32 microcontroller. This control system is monitored remotely using IoT concepts through a mobile application interface. The results of this study show that room temperature can be controlled under normal conditions, with an average change of -1.67°C and an overall average temperature of 25.95°C. While the average humidity is at a value of 80.16% which is included in the Wet set. This suggests that humidity cannot be controlled under normal conditions, so it still requires further development. In addition, it is also necessary to further investigate the effectiveness of the tool in various sizes and more complex layouts of rooms.

Keywords


Artificial Intelligence; Fuzzy Logic; Internet of Things; Precision Control; Room Control.

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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, p. 012006, Nov. 2019, doi: 10.1088/1757-899X/692/1/012006.

A. Majdi, A. J. Alrubaie, A. H. Al-Wardy, J. Baili, and H. Panchal, “A novel method for Indoor Air Quality Control of Smart Homes using a Machine learning model,” Advances in Engineering Software, vol. 173, p. 103253, Nov. 2022, doi: 10.1016/j.advengsoft.2022.103253.

A. M. Elsaid, H. A. Mohamed, G. B. Abdelaziz, and M. S. Ahmed, “A critical review of heating, ventilation, and air conditioning (HVAC) systems within the context of a global SARS-CoV-2 epidemic,” Process Safety and Environmental Protection, vol. 155, pp. 230–261, Nov. 2021, doi: 10.1016/j.psep.2021.09.021.

N. T. Toosty, A. Hagishima, W. Bari, and S. A. Zaki, “Behavioural changes in air-conditioner use owing to the COVID-19 movement control order in Malaysia,” Sustainable Production and Consumption, vol. 30, pp. 608–622, Mar. 2022, doi: 10.1016/j.spc.2022.01.001.

M. Vogt, C. Buchholz, S. Thiede, and C. Herrmann, “Energy efficiency of Heating, Ventilation and Air Conditioning systems in production environments through model-predictive control schemes: The case of battery production,” Journal of Cleaner Production, vol. 350, p. 131354, May 2022, doi: 10.1016/j.jclepro.2022.131354.

G. A. Ganesh, S. L. Sinha, T. N. Verma, and S. K. Dewangan, “Investigation of indoor environment quality and factors affecting human comfort: A critical review,” Building and Environment, vol. 204, p. 108146, Oct. 2021, doi: 10.1016/j.buildenv.2021.108146.

T. Cao, Z. Lian, S. Ma, and J. Bao, “Thermal comfort and sleep quality under temperature, relative humidity and illuminance in sleep environment,” Journal of Building Engineering, vol. 43, p. 102575, Nov. 2021, doi: 10.1016/j.jobe.2021.102575.

D. Kong, H. Liu, Y. Wu, B. Li, S. Wei, and M. Yuan, “Effects of indoor humidity on building occupants’ thermal comfort and evidence in terms of climate adaptation,” Building and Environment, vol. 155, pp. 298–307, May 2019, doi: 10.1016/j.buildenv.2019.02.039.

G. Tokazhanov, A. Tleuken, M. Guney, A. Turkyilmaz, and F. Karaca, “How is COVID-19 Experience Transforming Sustainability Requirements of Residential Buildings? A Review,” Sustainability, vol. 12, no. 20, p. 8732, Oct. 2020, doi: 10.3390/su12208732.

M. Soltani Firouz, K. Mohi-Alden, and M. Omid, “A critical review on intelligent and active packaging in the food industry: Research and development,” Food Research International, vol. 141, p. 110113, Mar. 2021, doi: 10.1016/j.foodres.2021.110113.

H. Yin and Y. Yin, “Current status and development trend of dehumidification technology in low-humidity industries,” IOP Conference Series: Earth and Environmental Science, vol. 1011, no. 1, p. 012030, Apr. 2022, doi: 10.1088/1755-1315/1011/1/012030.

H. Manoharan, A. R. Basha, Y. Teekaraman, and A. Manoharan, “Smart home autonomous water management system for agricultural applications,” World Journal of Engineering, vol. 17, no. 3, pp. 445–455, Apr. 2020, doi: 10.1108/WJE-07-2019-0194.

W. F. Pereira, L. da S. Fonseca, F. F. Putti, B. C. Góes, and L. de P. Naves, “Environmental monitoring in a poultry farm using an instrument developed with the internet of things concept,” Comput. Electron. Agric., vol. 170, p. 105257, Mar. 2020, doi: 10.1016/j.compag.2020.105257.

Md. M. Islam, S. Sourov Tonmoy, S. Quayum, A. R. Sarker, S. Umme Hani, and M. A. Mannan, “Smart Poultry Farm Incorporating GSM and IoT,” in 2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST), IEEE, Jan. 2019, pp. 277–280. doi: 10.1109/ICREST.2019.8644300.

I. Ardiansah, N. Bafdal, E. Suryadi, and A. Bono, “Greenhouse Monitoring and Automation Using Arduino: a Review on Precision Farming and Internet of Things (IoT),” Int. J. Adv. Sci. Eng. Inf. Technol., vol. 10, no. 2, p. 703, Apr. 2020, doi: 10.18517/ijaseit.10.2.10249.

U. Sakız, G. U. Kaya, and O. Yaralı, “Prediction of drilling rate index from rock strength and cerchar abrasivity index properties using fuzzy inference system,” Arabian Journal of Geosciences, vol. 14, no. 5, p. 354, Mar. 2021, doi: 10.1007/s12517-021-06647-w.

M. M. Gómez, D. T-. Zamora, J. L. M. Martínez, A. R. C. Ortega, J. de J. M. Rodríguez, and X. D-. Galván, “Water Supply Management Index: Leon, Guanajuato, Mexico,” Water (Basel), vol. 14, no. 6, p. 919, Mar. 2022, doi: 10.3390/w14060919.

D. K. Matci and U. Avdan, “Optimization-based automated unsupervised classification method: A novel approach,” Expert Systems with Applications, vol. 160, p. 113735, Dec. 2020, doi: 10.1016/j.eswa.2020.113735.

M. Omair et al., “The Selection of the Sustainable Suppliers by the Development of a Decision Support Framework Based on Analytical Hierarchical Process and Fuzzy Inference System,” International Journal of Fuzzy Systems, vol. 23, no. 7, pp. 1986–2003, Oct. 2021, doi: 10.1007/s40815-021-01073-2.

A. Guzman-Urbina, K. Ouchi, H. Ohno, and Y. Fukushima, “FIEMA, a system of fuzzy inference and emission analytics for sustainability-oriented chemical process design,” Appl. Soft. Comput., vol. 126, p. 109295, Sep. 2022, doi: 10.1016/j.asoc.2022.109295.

M. O. Onibonoje, P. N. Bokoro, N. I. Nwulu, and S. L. Gbadamosi, “An IoT-Based Approach to Real-Time Conditioning and Control in a Server Room,” in 2019 International Artificial Intelligence and Data Processing Symposium (IDAP), pp. 1–6Sep. 2019, doi: 10.1109/IDAP.2019.8875880.

M. Alvan Prastoyo Utomo, A. Aziz, Winarno, and B. Harjito, “Server Room Temperature & Humidity Monitoring Based on Internet of Thing (IoT),” J. Phys. Conf. Ser., vol. 1306, no. 1, p. 012030, Aug. 2019, doi: 10.1088/1742-6596/1306/1/012030.

R. Rakhmawati, Irianto, F. D. Murdianto, A. Luthfi, and A. Y. Rahman, “Thermal Optimization on Incubator using Fuzzy Inference System based IoT,” in 2019 International Conference of Artificial Intelligence and Information Technology (ICAIIT), pp. 464–468, Mar. 2019, doi: 10.1109/ICAIIT.2019.8834530.

A. F. Subahi and K. E. Bouazza, “An Intelligent IoT-Based System Design for Controlling and Monitoring Greenhouse Temperature,” IEEE Access, vol. 8, pp. 125488–125500, 2020, doi: 10.1109/ACCESS.2020.3007955.

Arlenny and D. Setiawan, “Optimization of electrical energy in the fan using fuzzy logic controllers,” IOP Conf. Ser. Earth. Environ. Sci., vol. 1041, no. 1, p. 012025, Jun. 2022, doi: 10.1088/1755-1315/1041/1/012025.

W. A. Jabbar et al., “Design and Fabrication of Smart Home With Internet of Things Enabled Automation System,” IEEE Access, vol. 7, pp. 144059–144074, 2019, doi: 10.1109/ACCESS.2019.2942846.

A. K. Gupta and R. Johari, “IOT based Electrical Device Surveillance and Control System,” in 2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), pp. 1–5, Apr. 2019, doi: 10.1109/IoT-SIU.2019.8777342.

Sunardi, A. Yudhana, and Furizal, “Tsukamoto Fuzzy Inference System on Internet of Things-Based for Room Temperature and Humidity Control,” IEEE Access, vol. 11, pp. 6209–6227, 2023, doi: 10.1109/ACCESS.2023.3236183.

Y. Prasetia, A. G. Putrada, and A. Rakhmatsyah, “Evaluation of IoT-Based Grow Light Automation on Hydroponic Plant Growth,” Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, vol. 7, no. 2, p. 314, 2021, doi: 10.26555/jiteki.v7i2.21424.

D. Farahiyah and B. W. Purnama, “Design Prototype of Temperature and Humidity Control and Monitoring on Weaver Ant Cage based on Internet of Things,” Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, vol. 7, no. 2, p. 326, 2021, doi: 10.26555/jiteki.v7i2.21438.

N. Rinanto, I. Marzuqi, A. Khumaidi, and S. T. Sarena, “Obstacle Avoidance using Fuzzy Logic Controller on Wheeled Soccer Robot,” Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, vol. 5, no. 1, pp. 26–35, 2019, doi: 10.26555/jiteki.v5i1.13298.

F. F. Asman, E. Permata, and M. Fatkhurrokhman, “Prototype of Smart Lock Based on Internet Of Things (IOT) With ESP8266,” Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, vol. 5, no. 2, p. 101, 2020, doi: 10.26555/jiteki.v5i2.15317.

E. Guney, G. Agirtas, and C. Bayilmis, “MongoDB Based Real-Time Monitoring Heart Rate Using Websocket For Remote Healthcare,” Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, vol. 8, no. 4, p. 500, 2022, doi: 10.26555/jiteki.v8i4.25052.

M. F. Wicaksono and M. D. Rahmatya, “IoT for Residential Monitoring Using ESP8266 and ESP-NOW Protocol,” Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, vol. 8, no. 1, p. 93, Apr. 2022, doi: 10.26555/jiteki.v8i1.23616.

J. M. Putra, M. Misbahuddin, and S. M. Al Sasongko, “Multi-hop ESP-Mesh Network and MQTT Protocol for Smart Light Systems in High-Rise Buildings,” Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, vol. 8, no. 1, p. 51, Apr. 2022, doi: 10.26555/jiteki.v8i1.22535.

P. D. P. Adi, A. Kitagawa, D. A. Prasetya, R. Arifuddin, and S. Yoseph, “LoRaWAN Technology in Irrigation Channels in Batu Indonesia,” Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, vol. 7, no. 3, p. 522, Feb. 2022, doi: 10.26555/jiteki.v7i3.22258.

O. Barybin, E. Zaitseva, and V. Brazhnyi, “Testing the Security ESP32 Internet of Things Devices,” in 2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T), pp. 143–146, Oct. 2019, doi: 10.1109/PICST47496.2019.9061269.

A. Yudhana, D. Sulistyo, and I. Mufandi, “GIS-based and Naïve Bayes for nitrogen soil mapping in Lendah, Indonesia,” Sens. Biosensing. Res., vol. 33, p. 100435, Aug. 2021, doi: 10.1016/j.sbsr.2021.100435.

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, Feb. 2021, doi: 10.1088/1757-899X/1088/1/012080.

A. Yudhana et al., “Multi sensor application-based for measuring the quality of human urine on first-void urine,” Sens. Biosensing. Res., vol. 34, p. 100461, Dec. 2021, doi: 10.1016/j.sbsr.2021.100461.

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, p. 012032, Oct. 2018, doi: 10.1088/1757-899X/403/1/012032.

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

H. Kareem and D. Dunaev, “The Working Principles of ESP32 and Analytical Comparison of using Low-Cost Microcontroller Modules in Embedded Systems Design,” in 2021 4th International Conference on Circuits, Systems and Simulation (ICCSS), pp. 130–135, May 2021, doi: 10.1109/ICCSS51193.2021.9464217.

J. Guo, J. Yang, H. Yue, H. Tan, C. Hou, and K. Li, “CDnetV2: CNN-Based Cloud Detection for Remote Sensing Imagery With Cloud-Snow Coexistence,” IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 1, pp. 700–713, Jan. 2021, doi: 10.1109/TGRS.2020.2991398.

H. Zeng, J. Cai, L. Li, Z. Cao, and L. Zhang, “Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time,” IEEE Trans Pattern Anal Mach Intell, pp. 1–1, 2020, doi: 10.1109/TPAMI.2020.3026740.

S. Ghosal, A. Kumar, V. Udutalapally, and D. Das, “gluCam: Smartphone Based Blood Glucose Monitoring and Diabetic Sensing,” IEEE Sensors Journal, vol. 21, no. 21, pp. 24869–24878, Nov. 2021, doi: 10.1109/JSEN.2021.3116191.

S. Boukhary and E. Colmenares, “A Clean Approach to Flutter Development through the Flutter Clean Architecture Package,” in 2019 International Conference on Computational Science and Computational Intelligence (CSCI), pp. 1115–1120, Dec. 2019, doi: 10.1109/CSCI49370.2019.00211.

R. Mamoun, M. Nasor, and S. H. Abulikailik, “Design and Development of Mobile Healthcare Application Prototype Using Flutter,” in 2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE), pp. 1–6, Feb. 2021, doi: 10.1109/ICCCEEE49695.2021.9429595.

E. Lee and C.-Y. Lee, “PPG-Based Smart Wearable Device With Energy-Efficient Computing for Mobile Health-Care Applications,” IEEE Sensors Journal, vol. 21, no. 12, pp. 13564–13573, Jun. 2021, doi: 10.1109/JSEN.2021.3069460.

K. Kishore, S. Khare, V. Uniyal, and S. Verma, “Performance and stability Comparison of React and Flutter: Cross-platform Application Development,” in 2022 International Conference on Cyber Resilience (ICCR), pp. 1–4, Oct. 2022, doi: 10.1109/ICCR56254.2022.9996039.

K. Nagaraj, B. Prabakaran, and M. O. Ramkumar, “Application Development for a Project using Flutter,” in 2022 3rd International Conference on Smart Electronics and Communication (ICOSEC), pp. 947–951, Oct. 2022, doi: 10.1109/ICOSEC54921.2022.9951938.

M. A. Faiz, D. S. Kusumo, and M. J. Alibasa, “Flutter Framework Code Portability Measurement on Multiplatform Applications with ISO 9126,” in 2022 1st International Conference on Software Engineering and Information Technology (ICoSEIT), pp. 36–40, Nov. 2022, doi: 10.1109/ICoSEIT55604.2022.10030045.

P. S. Wazarkar, A. D. Karnale, D. A. Chhabariya, A. R. Tiwari, and R. R. Kandelwal, “Early Disease Detection using Android Application based on Nail’s Image,” in 2021 IEEE Bombay Section Signature Conference (IBSSC), pp. 1–6, Nov. 2021, doi: 10.1109/IBSSC53889.2021.9673386.

A. M. Qadir and P. Cooper, “GPS-based Mobile Cross-platform Cargo Tracking System with Web-based Application,” in 2020 8th International Symposium on Digital Forensics and Security (ISDFS), pp. 1–7, Jun. 2020, doi: 10.1109/ISDFS49300.2020.9116336.

D. Sheppard, N. Felker, and J. Schmalzel, “Development of Voice Commands in Digital Signage for Improved Indoor Navigation Using Google Assistant SDK,” in 2019 IEEE Sensors Applications Symposium (SAS), pp. 1–5, Mar. 2019, doi: 10.1109/SAS.2019.8706120.

F. Oprea, D. Rosner, F. Popescu, and A. Scrab, “Mediminder – Medication Management and Reminder Application,” in 2021 20th RoEduNet Conference: Networking in Education and Research (RoEduNet), pp. 1–6, Nov. 2021, doi: 10.1109/RoEduNet54112.2021.9637712.

A. Khan and S. Khusro, “Blind-friendly user interfaces – a pilot study on improving the accessibility of touchscreen interfaces,” Multimedia Tools and Applications, vol. 78, no. 13, pp. 17495–17519, Jul. 2019, doi: 10.1007/s11042-018-7094-y.

B. Halder, Md. H. Chowdhury, and Md. S. Rahman Kohinoor, “Look After: A Context-Aware Mobile Computing Based Smart Agent to Manage Personal Events,” in 2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT), pp. 1–5, Oct. 2022, doi: 10.1109/GCAT55367.2022.9971827.

S. Periyanayagi, A. Manikandan, M. Muthukrishnan, and M. Ramakrishnan, “BDoor App-Blood Donation Application using Android Studio,” J. Phys. Conf. Ser., vol. 1917, no. 1, p. 012018, Jun. 2021, doi: 10.1088/1742-6596/1917/1/012018.

U. S, A. B. T S R, S. V, and G. B. K, “IoT based Approach to Estimate the Vacant Seats Available,” in 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA), pp. 354–358, Sep. 2022, doi: 10.1109/ICIRCA54612.2022.9985657.

K. Wasilewski and W. Zabierowski, “A Comparison of Java, Flutter and Kotlin/Native Technologies for Sensor Data-Driven Applications,” Sensors, vol. 21, no. 10, p. 3324, May 2021, doi: 10.3390/s21103324.

S. Sharma, S. Khare, V. Unival, and S. Verma, “Hybrid Development in Flutter and its Widgits,” in 2022 International Conference on Cyber Resilience (ICCR), pp. 1–4, Oct. 2022, doi: 10.1109/ICCR56254.2022.9995973.

A. C. Jahagirdar and K. K. Gupta, “Cumulative Distribution Sharpness Profiling Based Bearing Fault Diagnosis Framework Under Variable Speed Conditions,” IEEE Sensors Journal, vol. 21, no. 13, pp. 15124–15132, Jul. 2021, doi: 10.1109/JSEN.2021.3072368.

S. Misra, S. Pal, P. K. Deb, and E. Gupta, “KEdge: Fuzzy-Based Multi-AI Model Coalescence Solution for Mobile Healthcare System,” IEEE Systems Journal, pp. 1–8, 2023, doi: 10.1109/JSYST.2023.3239395.

F. Pradana, F. A. Bachtiar, and E. R. Widasari, “Fuzzy Tsukamoto Implementation to Detect Physiological Condition on IoT-Based e-Learning Users,” International Journal of Information and Education Technology, vol. 12, no. 7, pp. 663–667, 2022, doi: 10.18178/ijiet.2022.12.7.1668.

M. T. Maiza Henanda, H. H. Nuha, and E. Ariyanto, “Utilization of Smart Greenhouse to Increase Chrysanthemum Growth in the Vegetative Phase by Monitoring Using Firebase,” in 2022 9th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), pp. 204–209, Oct. 2022, doi: 10.23919/EECSI56542.2022.9946632.

A. López-Vargas and A. Ledezma-Espino, “Iot application for energy poverty detection based on thermal comfort monitoring,” Heliyon, vol. 9, no. 1, p. e12943, Jan. 2023, doi: 10.1016/j.heliyon.2023.e12943.

I. Riadi and R. Syaefudin, “Monitoring and Control Food Temperature and Humidity using Internet of Things Based-on Microcontroller,” Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, vol. 7, no. 1, p. 108, 2021, doi: 10.26555/jiteki.v7i1.20213.

A. Baharum et al., “Mobile learning application: flipped classroom,” Indonesian Journal of Electrical Engineering and Computer Science, vol. 17, no. 2, p. 1084, Feb. 2020, doi: 10.11591/ijeecs.v17.i2.pp1084-1090.

N. Yahya and S. S. Maidin, “The Waterfall Model with Agile Scrum as the Hybrid Agile Model for the Software Engineering Team,” in 2022 10th International Conference on Cyber and IT Service Management (CITSM), pp. 1–5, Sep. 2022, doi: 10.1109/CITSM56380.2022.9936036.

N. Koussani, A. Leshob, P. Hadaya, I. Benzarti, and H. Mili, “Towards an Agile Approach for Business Process Reengineering,” in 2022 IEEE International Conference on e-Business Engineering (ICEBE), pp. 130–135, Oct. 2022, doi: 10.1109/ICEBE55470.2022.00031.

V. Hema, S. Thota, S. Naresh Kumar, C. Padmaja, C. B. Rama Krishna, and K. Mahender, “Scrum: An Effective Software Development Agile Tool,” IOP Conference Series: Materials Science and Engineering, vol. 981, no. 2, p. 022060, Dec. 2020, doi: 10.1088/1757-899X/981/2/022060.

L. Hao, J. Zhang, and X. Ma, “Development Trend of Software Process Model,” IOP Conference Series: Materials Science and Engineering, vol. 569, no. 5, p. 052077, Jul. 2019, doi: 10.1088/1757-899X/569/5/052077.

T. K. Rahayu, Susanto, and Suwarjono, “Application Report Process Of Islamic School Based On Pesantren Boarding Using Waterfall Model,” J. Phys. Conf. Ser., vol. 1569, no. 2, p. 022025, Jul. 2020, doi: 10.1088/1742-6596/1569/2/022025.

I. Häring, “Models for Hardware and Software Development Processes,” in Technical Safety, Reliability and Resilience, pp. 179–192, 2021, doi: 10.1007/978-981-33-4272-9_10.

T. Saravanan, S. Jha, G. Sabharwal, and S. Narayan, “Comparative Analysis of Software Life Cycle Models,” in 2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN), pp. 906–909, Dec. 2020, doi: 10.1109/ICACCCN51052.2020.9362931.

F. I. Maulana, V. Susanto, P. Shilo, J. Gunawan, G. Pangestu, and D. R. B. Raharja, “Design and Development of Website Dr.Changkitchen Diet Catering Using SDLC Waterfall Model,” in 6th International Conference on Sustainable Information Engineering and Technology 2021, pp. 75–79, Sep. 2021, doi: 10.1145/3479645.3479652.

D. Sudrajat et al., “The Implementation of Innovation in Educational Technology to Improve The Quality of Website Learning in Industrial Revolution Era 4.0 Using Waterfall Method,” J. Phys. Conf. Ser., vol. 1364, no. 1, p. 012044, Dec. 2019, doi: 10.1088/1742-6596/1364/1/012044.

G. N and S. Kumar, “QoS Aware Modified Harmony Search Optimization for Route Selection in Vanets,” Indian Journal of Computer Science and Engineering, vol. 13, no. 2, pp. 288–299, Apr. 2022, doi: 10.21817/indjcse/2022/v13i2/221302014.

H. Meileni, D. Juniansyah Putra, D. Apriyanti, I. Satriadi, and S. Oktapriandi, “Inventory Of Goods Data Processing Using The Economic Order Quantity (Eoq) Method,” J. Phys. Conf. Ser., vol. 1500, no. 1, p. 012112, Apr. 2020, doi: 10.1088/1742-6596/1500/1/012112.

B. Sobandi et al., “Batik AR ver.1.0: Augmented Reality application as gamification of batik design using waterfall method,” J. Phys. Conf. Ser., vol. 1987, no. 1, p. 012021, Jul. 2021, doi: 10.1088/1742-6596/1987/1/012021.

D. Tantscher and B. Mayer, “Digital Retrofitting of legacy machines: A holistic procedure model for industrial companies,” CIRP Journal of Manufacturing Science and Technology, vol. 36, pp. 35–44, Jan. 2022, doi: 10.1016/j.cirpj.2021.10.011.

J. Imanuel, L. Kintanswari, Vincent, M. S. Anggreainy, S. Yusuf, and S. Y. Sembiring Kembaren, “Development of Financial Planner Application Software Based on Waterfall Model,” in 2022 International Conference on ICT for Smart Society (ICISS), pp. 01–06, Aug. 2022, doi: 10.1109/ICISS55894.2022.9915039.

A. Sinha and P. Das, “Agile Methodology Vs. Traditional Waterfall SDLC: A case study on Quality Assurance process in Software Industry,” in 2021 5th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech), pp. 1–4, Sep. 2021, doi: 10.1109/IEMENTech53263.2021.9614779.

D. K. Sharma, B. Singh, S. Agarwal, N. Pachauri, A. A. Alhussan, and H. A. Abdallah, “Sarcasm Detection over Social Media Platforms Using Hybrid Ensemble Model with Fuzzy Logic,” Electronics (Basel), vol. 12, no. 4, p. 937, Feb. 2023, doi: 10.3390/electronics12040937.

H. Leon-Garza, H. Hagras, A. Pena-Rios, A. Conway, and G. Owusu, “A Big Bang-Big Crunch Type-2 Fuzzy Logic System for Explainable Semantic Segmentation of Trees in Satellite Images using HSV Color Space,” in 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1–7, Jul. 2020, doi: 10.1109/FUZZ48607.2020.9177611.

L. A. Zadeh, “Fuzzy sets as a basis for a theory of possibility,” Fuzzy Sets and Systems, vol. 1, no. 1, pp. 3–28, Jan. 1978, doi: 10.1016/0165-0114(78)90029-5.

S. Tokat, K. Karagul, Y. Sahin, and E. Aydemir, “Fuzzy c-means clustering-based key performance indicator design for warehouse loading operations,” Journal of King Saud University - Computer and Information Sciences, vol. 34, no. 8, pp. 6377–6384, Sep. 2022, doi: 10.1016/j.jksuci.2021.08.003.

S. A. M. Al-taie and B. I. Khaleel, “Palm Print Recognition Using Intelligent Techniques: A review,” Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, vol. 9, no. 1, pp. 156–164, 2023, doi: 10.26555/jiteki.v9i1.25777.

A. E. Zaenchkovski, E. A. Kirillova, M. V. Golovinskaya, E. A. Sazonova, and V. L. Borisova, “Cognitive Fuzzy-Logic Modeling Tools to Develop Innovative Process Management Procedures for Scientific-Industrial Clusters,” in Frontier Information Technology and Systems Research in Cooperative Economics, pp. 209–221, 2021, doi: 10.1007/978-3-030-57831-2_22.

Shwetank, Suhas, and J. K. Chaudhary, “A Comparative Study of Fuzzy Logic and WQI for Groundwater Quality Assessment,” Procedia Computer Science, vol. 171, pp. 1194–1203, 2020, doi: 10.1016/j.procs.2020.04.128.

R. Tabbussum and A. Q. Dar, “Performance evaluation of artificial intelligence paradigms—artificial neural networks, fuzzy logic, and adaptive neuro-fuzzy inference system for flood prediction,” Environmental Science and Pollution Research, vol. 28, no. 20, pp. 25265–25282, May 2021, doi: 10.1007/s11356-021-12410-1.

T. P. Sihaloho, M. K. M. Nasution, and Z. Situmorang, “Level of student satisfaction on lecturer performance with fuzzy inference system (FIS) tsukamoto method,” IOP Conference Series: Materials Science and Engineering, vol. 725, no. 1, p. 012130, Jan. 2020, doi: 10.1088/1757-899X/725/1/012130.

M. Z. Dini, A. Rakhmatsyah, and A. A. Wardana, “Detection of Oxygen Levels (SpO2) and Heart Rate Using a Pulse Oximeter for Classification of Hypoxemia Based on Fuzzy Logic,” Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, vol. 8, no. 1, p. 17, 2022, doi: 10.26555/jiteki.v8i1.22139.

L. T. H. Lan et al., “A New Complex Fuzzy Inference System With Fuzzy Knowledge Graph and Extensions in Decision Making,” IEEE Access, vol. 8, pp. 164899–164921, 2020, doi: 10.1109/ACCESS.2020.3021097.

M. I. Fale and Y. G. Abdulsalam, “Dr. Flynxz – A First Aid Mamdani-Sugeno-type fuzzy expert system for differential symptoms-based diagnosis,” Journal of King Saud University - Computer and Information Sciences, vol. 34, no. 4, pp. 1138–1149, Apr. 2022, doi: 10.1016/j.jksuci.2020.04.016.

S. Nurhayati, R. Lubis, and M. F. Wicaksono, “Application of the Machine Learning Method for Predicting International Tourists in West Java Indonesia Using the Averege- Based Fuzzy Time Series Model,” Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, vol. 9, no. 1, pp. 1–11, 2023, doi: 10.26555/jiteki.v9i1.25475.

S. Hardi, A. Triwiyono, and A. Amalia, “Expert System for Diagnosing Osteoarthritis with Fuzzy Tsukamoto Method,” J. Phys. Conf. Ser., vol. 1641, no. 1, p. 012107, Nov. 2020, doi: 10.1088/1742-6596/1641/1/012107.

F. Umam, A. Dafid, and A. D. Cahyani, “Implementation of Fuzzy Logic Control Method on Chilli Cultivation Technology Based Smart Drip Irrigation System,” Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, vol. 9, no. 1, pp. 132–141, 2023, doi: 10.26555/jiteki.v9i1.25813.

Y. Yuliza, N. Sari, R. Muwardi, L. Lenni, and Y. Rahmawati, “Fiber Optic Attenuation Analysis Based on Mamdani Fuzzy Logic in Gambir Area, Central Jakarta,” Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, vol. 8, no. 4, pp. 610-620, 2022, doi: 10.26555/jiteki.v8i4.24549.

Yusfrizal, M. Sovina, F. A. Harahap, D. Adhar, W. Fahrozi, and H. Kurniawan, “Decision Support System for Determining the Amount of Production Based on Inventory Data and the Amount of Demand using the Tsukamoto Method,” in 2021 IEEE 7th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), pp. 270–275, Aug. 2021, doi: 10.1109/ICSIMA50015.2021.9526321.

J. I. Obianyo, O. E. Okey, and G. U. Alaneme, “Assessment of cost overrun factors in construction projects in Nigeria using fuzzy logic,” Innovative Infrastructure Solutions, vol. 7, no. 5, p. 304, Oct. 2022, doi: 10.1007/s41062-022-00908-7.

S. Gupta, P. K. Biswas, B. Aljafari, S. B. Thanikanti, and S. K. Das, “Modelling, simulation and performance comparison of different membership functions based fuzzy logic control for an active magnetic bearing system,” The Journal of Engineering, vol. 2023, no. 2, Feb. 2023, doi: 10.1049/tje2.12229.

M. Suthar, “Modeling of UCS value of stabilized pond ashes using adaptive neuro-fuzzy inference system and artificial neural network,” Soft Computing, vol. 24, no. 19, pp. 14561–14575, Oct. 2020, doi: 10.1007/s00500-020-04806-x.

M. M. Ferdaus, S. G. Anavatti, M. Pratama, and M. A. Garratt, “Towards the use of fuzzy logic systems in rotary wing unmanned aerial vehicle: a review,” Artificial Intelligence Review, vol. 53, no. 1, pp. 257–290, Jan. 2020, doi: 10.1007/s10462-018-9653-z.

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 Conference Series: Materials Science and Engineering, vol. 1115, no. 1, p. 012031, Mar. 2021, doi: 10.1088/1757-899X/1115/1/012031.

P. G. Singerman, S. M. O’Rourke, R. M. Narayanan, and M. Rangaswamy, “Language-Based Cost Functions: Another Step Toward a Truly Cognitive Radar,” in IEEE Transactions on Aerospace and Electronic Systems, vol. 57, no. 6, pp. 3827-3843, Dec. 2021, doi: 10.1109/TAES.2021.3082714.

A. Krol and G. Sierpinski, “Application of a Genetic Algorithm With a Fuzzy Objective Function for Optimized Siting of Electric Vehicle Charging Devices in Urban Road Networks,” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 8680–8691, Jul. 2022, doi: 10.1109/TITS.2021.3085103.

A. Ali, U. Heneash, A. Hussein, and M. Eskebi, “Predicting Pavement Condition Index Using Fuzzy Logic Technique,” Infrastructures (Basel), vol. 7, no. 7, p. 91, Jul. 2022, doi: 10.3390/infrastructures7070091.

F. S. Alakbari, M. E. Mohyaldinn, M. A. Ayoub, A. S. Muhsan, and I. A. Hussein, “A robust fuzzy logic-based model for predicting the critical total drawdown in sand production in oil and gas wells,” PLoS One, vol. 16, no. 4, p. e0250466, Apr. 2021, doi: 10.1371/journal.pone.0250466.

B. Erfianto and A. Rahmatsyah, “Application of ARIMA Kalman Filter with Multi-Sensor Data Fusion Fuzzy Logic to Improve Indoor Air Quality Index Estimation,” JOIV : International Journal on Informatics Visualization, vol. 6, no. 4, p. 771, Dec. 2022, doi: 10.30630/joiv.6.4.889.

M. Tahir, Q. Mamoon Ashraf, and M. Dabbagh, “Towards Enabling Autonomic Computing in IoT Ecosystem,” in 2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), pp. 646–651, Aug. 2019, doi: 10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00122.

M. F. Wicaksono, S. Syahrul, and M. Dwi Rahmatya, “Development of Laboratory Equipment Inventory System Using Radio Frequency and Internet of Things,” Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, vol. 7, no. 2, pp. 249-258, 2021, doi: 10.26555/jiteki.v7i2.21114.

P. Purnomo, A. Aripriharta, A. N. Handayani, R. N. Hasanah, N. Rosmin, and G.-J. Horng, “Realtime IoT based Harmonics Monitoring System Review with Potential Low-Cost Devices with Experimental Case Study,” Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, vol. 7, no. 2, p. 259-268, Aug. 2021, doi: 10.26555/jiteki.v7i2.21166.

P. Bellini, P. Nesi, and G. Pantaleo, “IoT-Enabled Smart Cities: A Review of Concepts, Frameworks and Key Technologies,” Applied Sciences, vol. 12, no. 3, p. 1607, Feb. 2022, doi: 10.3390/app12031607.

K. Wójcicki, M. Biegańska, B. Paliwoda, and J. Górna, “Internet of Things in Industry: Research Profiling, Application, Challenges and Opportunities—A Review,” Energies (Basel), vol. 15, no. 5, p. 1806, Feb. 2022, doi: 10.3390/en15051806.

P. Singh, Z. Elmi, V. Krishna Meriga, J. Pasha, and M. A. Dulebenets, “Internet of Things for sustainable railway transportation: Past, present, and future,” Cleaner Logistics and Supply Chain, vol. 4, p. 100065, Jul. 2022, doi: 10.1016/j.clscn.2022.100065.

Z. Fatima et al., “Production Plant and Warehouse Automation with IoT and Industry 5.0,” Applied Sciences, vol. 12, no. 4, p. 2053, Feb. 2022, doi: 10.3390/app12042053.

W. A. Farag and M. Abouelela, “Low-Cost Active Monitoring of Attendance using Passive RFID Technology,” Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, vol. 8, no. 4, pp. 552-564, 2022, doi: 10.26555/jiteki.v8i4.25168.

X. Zhu, “Complex event detection for commodity distribution Internet of Things model incorporating radio frequency identification and Wireless Sensor Network,” Future Generation Computer Systems, vol. 125, pp. 100–111, Dec. 2021, doi: 10.1016/j.future.2021.06.024.

W. Kassab and K. A. Darabkh, “A–Z survey of Internet of Things: Architectures, protocols, applications, recent advances, future directions and recommendations,” Journal of Network and Computer Applications, vol. 163, p. 102663, Aug. 2020, doi: 10.1016/j.jnca.2020.102663.

W. Chen, “Intelligent manufacturing production line data monitoring system for industrial internet of things,” Computer Communications, vol. 151, pp. 31–41, Feb. 2020, doi: 10.1016/j.comcom.2019.12.035.

F. I. Indikawati and G. M. Zamroni, “Household Power Consumption Forecasting using IoT Smart Home Data,” Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, vol. 5, no. 1, pp. 8-15, Jul. 2019, doi: 10.26555/jiteki.v5i1.13184.

S. Leminen, M. Rajahonka, R. Wendelin, and M. Westerlund, “Industrial internet of things business models in the machine-to-machine context,” Industrial Marketing Management, vol. 84, pp. 298–311, Jan. 2020, doi: 10.1016/j.indmarman.2019.08.008.

S. Al-Sarawi, M. Anbar, R. Abdullah, and A. B. Al Hawari, “Internet of Things Market Analysis Forecasts, 2020–2030,” in 2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4), pp. 449–453, Jul. 2020, doi: 10.1109/WorldS450073.2020.9210375.

N. Inas Fikri, V. Louis Nathaniel, M. Syahrul Gunawan, and T. Abuzairi, “Design of Real-Time Aquarium Monitoring System for Endemic Fish on the Smartphone,” Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, vol. 7, no. 2, pp. 269-276, Aug. 2021, doi: 10.26555/jiteki.v7i2.21137.

M. Sandesara et al., “Design and Experience of Mobile Applications: A Pilot Survey,” Mathematics, vol. 10, no. 14, p. 2380, Jul. 2022, doi: 10.3390/math10142380.

Wijayanti and R. Tanone, “Design Thinking and Emotional Intelligence in UI/UX Design of Website-Based Online Foreign Service Travel Expenses (BPDL) Applications,” in 2021 2nd International Conference on Innovative and Creative Information Technology (ICITech), pp. 130–135, Sep. 2021, doi: 10.1109/ICITech50181.2021.9590156.

H. I. Shahadi, M. K. Kadhim, N. M. Almeyali, and A. T. Hadi, “Design and Implementation of a Smart, Interactive and Portable System for Monitoring of Human Vital Signs,” Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, vol. 7, no. 1, pp. 30-42, 2021, doi: 10.26555/jiteki.v7i1.20209.

B. H. M. Mooers and M. E. Brown, “Templates for writing PyMOL scripts,” Protein Science, vol. 30, no. 1, pp. 262–269, Jan. 2021, doi: 10.1002/pro.3997.

S. bin Uzayr, “Introduction to Visual Studio Code,” in Optimizing Visual Studio Code for Python Development, pp. 1–46, 2021, doi: 10.1007/978-1-4842-7344-9_1.

V. K. Saini, C. S. Purohit, R. Kumar, and A. S. Al-Sumaiti, “Proof of Work Consensus Based Peer to Peer Energy Trading in the Indian Residential Community,” Energies (Basel), vol. 16, no. 3, p. 1253, Jan. 2023, doi: 10.3390/en16031253.

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 Conference Series: Materials Science and Engineering, vol. 1115, no. 1, p. 012031, Mar. 2021, doi: 10.1088/1757-899X/1115/1/012031.

L. G. Ioannou et al., “The Impacts of Sun Exposure on Worker Physiology and Cognition: Multi-Country Evidence and Interventions,” Int. J. Environ. Res. Public Health, vol. 18, no. 14, p. 7698, Jul. 2021, doi: 10.3390/ijerph18147698.

A. H. M. Eldesoky, J. Gil, and M. B. Pont, “The suitability of the urban local climate zone classification scheme for surface temperature studies in distinct macroclimate regions,” Urban Clim, vol. 37, p. 100823, May 2021, doi: 10.1016/j.uclim.2021.100823.

T. Karyono, “Predicting Comfort Temperature in Indonesia, an Initial Step to Reduce Cooling Energy Consumption,” Buildings, vol. 5, no. 3, pp. 802–813, Jul. 2015, doi: 10.3390/buildings5030802.

W. B. Zulfikar, Jumadi, P. K. Prasetyo, and M. A. Ramdhani, “Implementation of Mamdani Fuzzy Method in Employee Promotion System,” IOP Conference Series: Materials Science and Engineering, vol. 288, p. 012147, Jan. 2018, doi: 10.1088/1757-899X/288/1/012147.

D. Wahyuni, E. Sumarminingsih, and S. Astutik, “COVID-19 Vaccination and PPKM Policy with the Implementation of the Fuzzy Sugeno Method to Income Classification,” JTAM (Jurnal Teori dan Aplikasi Matematika), vol. 6, no. 4, p. 937, Oct. 2022, doi: 10.31764/jtam.v6i4.10096.

G. Shahana, P. Ezhilarasi, and S. RajeshKannan, “Comparison of Mamdani and Sugeno fuzzy based data aggregation models for developing smart aquaculture system,” in 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), pp. 1–8, Jul. 2022, doi: 10.1109/ICSES55317.2022.9914378.

Kms. M. Apriyansah, M. Maryaningsih, and I. Kanedi, “Application of Fuzzy Mamdani Logic in Determining Teacher Performance To The Learning System at Public High School 6 Bengkulu Middle,” Journal of Applied Engineering and Technological Science (JAETS), vol. 4, no. 1, pp. 460–468, Dec. 2022, doi: 10.37385/jaets.v4i1.1254.




DOI: https://doi.org/10.18196/jrc.v4i3.18327

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