Smart Oven berbasis IoT menggunakan Fuzzy Mamdani untuk Pengeringan Cepat Kerupuk Kemplang

Putri Salsabila Utami; Aryanti Aryanti; Lindawati Lindawati; Ibnu Asrafi

doi:10.29408/edumatic.v9i3.32099

Authors

Putri Salsabila Utami Program Studi Teknik Telekomunikasi, Politeknik Negeri Sriwijaya https://orcid.org/0009-0002-8967-6244
Aryanti Aryanti Program Studi Teknik Telekomunikasi, Politeknik Negeri Sriwijaya
Lindawati Lindawati Program Studi Teknik Telekomunikasi, Politeknik Negeri Sriwijaya
Ibnu Asrafi Program Studi Teknik Mesin, Politeknik Negeri Sriwijaya https://orcid.org/0009-0000-5904-7813

DOI:

https://doi.org/10.29408/edumatic.v9i3.32099

Keywords:

automatic drying, fuzzy mamdani, iot, kemplang crackers, smart oven

Abstract

Palembang kemplang crackers are traditionally dried in the sun for 8-16 hours, even up to three days in cloudy conditions. This process is inefficient and highly dependent on the weather. This research aims to develop a Smart Oven dryer for kemplang crackers based on the Fuzzy Mamdani method as an automated solution to speed up the drying process while maintaining product quality. Our type of research is development using protoype method with stages of analysis, design, prototyping and testing. The system is designed using thermocouple sensor for temperature measurement, HX711 weight sensor, heater as heater, and ESP32 module connected with Blynk application to allow setting and monitoring through smartphone. Fuzzy Mamdani method is used to control temperature, weight, and drying time adaptively to dynamic conditions. The test results show that the Smart Oven is able to reduce the drying time from an average of three days to only 2-5 hours at an optimal temperature of around 150-160°C, with a weight loss rate below 3%. The resulting product is crispier, evenly coloured, and has a longer shelf life compared to traditional methods and steam engines. These findings show that the application of Fuzzy Mamdani logic in the Smart Oven not only improves energy and time efficiency, but also ensures consistent quality of kemplang crackers.

References

Abbas, A. K., Al Mashhadany, Y., Hameed, M. J., & Algburi, S. (2022). Review of intelligent control systems with robotics. Indonesian Journal of Electrical Engineering and Informatics (IJEEI), 10(4), 734–753. https://doi.org/10.52549/ijeei.v10i4.3628

Al Awadh, M., & Mallick, J. (2024). A decision-making framework for landfill site selection in Saudi Arabia using explainable artificial intelligence and multi-criteria analysis. Environmental Technology & Innovation, 33, 103464. https://doi.org/10.1016/j.eti.2023.103464

Bressane, A., Garcia, A. J. da S., Castro, M. V. de, Xerfan, S. D., Ruas, G., & Negri, R. G. (2024). Fuzzy machine learning applications in environmental engineering: Does the ability to deal with uncertainty really matter? Sustainability, 16(11), 4525. https://doi.org/10.3390/su16114525

Hidayatulloh, S., & Aryanto, J. (2023). Sistem Pengendalian Jemuran Otomatis berbasis IoT dengan Logika Fuzzy untuk Pengkondisian Cuaca. Edumatic: Jurnal Pendidikan Informatika, 7(2), 287–296. https://doi.org/10.29408/edumatic.v7i2.21515

Imamguluyev, R., Imanova, T., Hasanova, P., Mammadova, A., & Hajizada, S. (2023). Unlocking energy efficiency: harnessing fuzzy logic control for lighting systems. Procedia Computer Science, 230, 574–583. https://doi.org/10.1016/j.procs.2023.12.113

Imamguluyev, R., Umarova, N., & Mikayilova, R. (2023). Navigating the ethics of the metaverse: a fuzzy logic approach to decision-making. International Conference on Intelligent and Fuzzy Systems, 53–60. https://doi.org/10.1007/978-3-031-39777-6_7

Kariongan, Y., & Ranteallo, O. (2023). Rancangan Mesin Pengering Ikan Tipe Kabinet dengan Memanfaatan Sumber Panas Energi Alternatif. Indonesian Journal Of Community Service, 3(1), 30–38.

Khemakhem, S., & Krichen, L. (2024). A comprehensive survey on an IoT-based smart public street lighting system application for smart cities. Franklin Open, 8, 100142. https://doi.org/10.1016/j.fraope.2024.100142

Kopetz, H., & Steiner, W. (2022). Internet of things. In Real-time systems: design principles for distributed embedded applications (pp. 325–341). Springer. https://doi.org/10.1007/978-3-031-11992-7_13

Kurniawan, W. B., Afriani, F., Aldila, H., & Tiandho, Y. (2021). Rancang bangun Alat Pengering Otomatis Kerupuk Kemplang Di desa Penyak. Kumawula, 4(1), 38–42. https://doi.org/10.24198/kumawula.v4i1.30037

Lindawati, L., Aryanti, A., Isnaini, A., Putri, N., Febriyanti, V., & Tsuroya, T. (2025). Innovative IoT-Based Fuzzy Logic Kitchen Model for Palembang’s Traditional Crackers Production MSMEs. Proceedings of the 8th FIRST 2024 International Conference on Global Innovations, 166–181. https://doi.org/10.2991/978-94-6463-678-9_17

Mastrocinque, E., Lamberti, E., Ramirez, F. J., & Petrovic, D. (2022). Measuring open innovation under uncertainty: A fuzzy logic approach. Journal of Engineering and Technology Management, 63, 101673. https://doi.org/10.1016/j.jengtecman.2022.101673

Mbende, E. T., Muluh, F. A., Pesdjock, M. J. P., Kenne, G., Dagang, C. T. S., & Sonfack, L. L. (2023). A simple fuzzy logic based DC link energy management system for hybrid industrial power supply. Energy Reports, 10, 3619–3628. https://doi.org/10.1016/j.egyr.2023.10.047

Mirzaee, M., & Kazemi, R. (2024). Type-II fuzzy inference system-based fractional terminal sliding mode control for zero-force exoskeleton robots. Iranian Journal of Fuzzy Systems, 21(6), 147–171.

Padmanaban, S., Nasab, M. A., Shiri, M. E., Javadi, H. H. S., Nasab, M. A., Zand, M., & Samavat, T. (2023). The role of internet of things in smart homes. Artificial Intelligence‐based Smart Power Systems, 259–271. https://doi.org/10.1002/9781119893998.ch13

Putri, N., Lindawati, L., & Aryanti, A. (2024). Implementasi dan Perbandingan Performa Algoritma Fuzzy Tsukamoto dan Mamdani pada Sistem Exhaust Fan Berbasis IoT. Tech-E, 8(1), 24–35.

Putri, N., Lindawati, L., & Aryanti, A. (2025). Tsukamoto Fuzzy In IoT-Based Automatic Control System Of Kitchen Smoke MSME Palembang Crackers. Journal of Informatics and Telecommunication Engineering, 8(2), 165–180.

Ramadhan, M. R., Darmawan, B., & Suksmadana, I. M. B. (2024). Rancang Bangun Alat Pengering Kerupuk Kulit Dengan Pemanas Heater Menggunakan Fuzzy Logic Berbasis Mikrokontroler. TIN: Terapan Informatika Nusantara, 4(12), 750–757. https://doi.org/10.47065/tin.v4i12.5175

Restrepo-Morales, J. A., Ararat-Herrera, J. A., López-Cadavid, D. A., & Camacho-Vargas, A. (2024). Breaking the digitalization barrier for SMEs: a fuzzy logic approach to overcoming challenges in business transformation. Journal of Innovation and Entrepreneurship, 13(1), 84. https://doi.org/10.1186/s13731-024-00429-w

Tang, H. H., & Ahmad, N. S. (2024). Fuzzy logic approach for controlling uncertain and nonlinear systems: a comprehensive review of applications and advances. Systems Science & Control Engineering, 12(1), 2394429. https://doi.org/10.1080/21642583.2024.2394429

Vashishtha, S., Gupta, V., & Mittal, M. (2023). Sentiment analysis using fuzzy logic: A comprehensive literature review. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 13(5), e1509. https://doi.org/10.1002/widm.1509

Velga, M. A., Amaluddin, F., Suryanto, A. A., & Indah, A. S. (2023). Rancang Bangun Penjemur Krupuk Otomatis Menggunakan Metode Fuzzy Yang Berbasis Arduino Uno Dengan Menambahkan Tubular Heater. Seminar Nasional Teknologi & Sains, 2(1), 405–412.

Wibowo, M. A. A. G., Salamah, I., & Aryanti, A. (2024). Sistem Monitoring dan Kontrol Penyiraman Aeroponik Tanaman Selada berbasis IoT dengan Metode Fuzzy Sugeno. Edumatic: Jurnal Pendidikan Informatika, 8(2), 399–408. https://doi.org/10.29408/edumatic.v8i2.27098

Zeng, Y., Hussein, Z. A., Chyad, M. H., Farhadi, A., Yu, J., & Rahbarimagham, H. (2025). Integrating type-2 fuzzy logic controllers with digital twin and neural networks for advanced hydropower system management. Scientific Reports, 15(1), 5140. https://doi.org/10.1038/s41598-025-89866-5

Zidni, G. S., & Ikrimach, I. (2023). Implementasi Metode Fuzzy Logic dan IoT untuk Klasifikasi Kondisi Kesehatan Denyut Jantung berbasis Android. Edumatic: Jurnal Pendidikan Informatika, 7(2), 366–375. https://doi.org/10.29408/edumatic.v7i2.23092