PENGEMBANGAN SISTEM PENGATUR SUHU BERBASIS FUZZY LOGIC PADA DISTILASI ETANOL TETES TEBU

Maulana Naseem Hamed; Muhammad Imran Hamid; Maulana Naseem Ikhlas; Muhammad Afdhal Izzati

doi:10.31869/rtj.v9i2.7453

PENGEMBANGAN SISTEM PENGATUR SUHU BERBASIS FUZZY LOGIC PADA DISTILASI ETANOL TETES TEBU

Maulana Naseem Hamed, Muhammad Imran Hamid, Maulana Naseem Ikhlas, Muhammad Afdhal Izzati

Sari

Proses distilasi etanol dari tetes tebu membutuhkan pengendalian suhu yang presisi untuk memperoleh kadar etanol yang optimal. Sistem kendali konvensional sering mengalami fluktuasi dan keterlambatan respons sehingga menurunkan efisiensi proses. Penelitian ini bertujuan merancang dan mengimplementasikan sistem pengendalian suhu berbasis logika fuzzy yang mampu meningkatkan kestabilan suhu pemanasan secara otomatis. Sensor termokopel tipe J dengan modul MAX6675 digunakan untuk mengukur suhu, sementara mikrokontroler Arduino memproses data menggunakan algoritma fuzzy dan menghasilkan sinyal PWM untuk mengatur daya pemanas melalui dimmer AC metode pemotongan sudut fasa. Evaluasi kinerja dilakukan dengan menguji sistem pada berbagai kondisi kerja distilasi yang merepresentasikan kebutuhan operasional proses. Hasil penelitian menunjukkan bahwa sistem mampu mencapai suhu target dalam 20–28 menit dengan error keadaan tunak kurang dari ±0,1°C dan overshoot yang minimal. Proses distilasi menghasilkan peningkatan volume dan kadar etanol secara signifikan, dengan rata-rata konsentrasi 33–37%. Temuan ini membuktikan bahwa pengendali logika fuzzy efektif dan adaptif untuk distilasi etanol skala laboratorium serta berpotensi untuk diterapkan pada skala industri.

Teks Lengkap:

PDF

Referensi

Anggraini, T., Hamed, M. N., & Susanti, R. (2024). Identification of Bioethanol Destilator of Sugarcane Drops Kerosene Substitute Using Artificial Neural Network. 2(12), 1917–1928.

Christy, E. J. S. B. A., Kapilan, R., Wickramasinghe, I., & Wijesekara, I. (2023). Optimization of Bioethanol Production from Ceratophyllum demersum for hand sanitizers. Ceylon Journal of Science, 52(4), 495–506. https://doi.org/10.4038/cjs.v52i4.8164

Duque, A., Álvarez, C., Doménech, P., Manzanares, P., & Moreno, A. D. (2021). Advanced bioethanol production: From novel raw materials to integrated biorefineries. Processes, 9(2), 1–30. https://doi.org/10.3390/pr9020206

Geremew Kassa, M., Asemu, A. M., Belachew, M. T., Satheesh, N., Abera, B. D., & Alemu Teferi, D. (2024). Review on the application, health usage, and negative effects of molasses. CYTA - Journal of Food, 22(1), 1–11. https://doi.org/10.1080/19476337.2024.2321984

Gurbanov, F. (2022). IMCRA FUZZY LOGIC OF LUTFI ZADEH AND METHODOLOGICAL AND EPISTEMO- LOGICAL ANALYSIS OF SET THEORY * 127. 5(4), 100–110.

Hargono, H., Jos, B., Purwanto, P., Sumardiono, S., & Zakaria, M. (2021). Bioethanol Purification from Fermentation of Suweg Starch Using Two Stage Distillation Method. IOP Conference Series: Materials Science and Engineering, 1053(1), 012114. https://doi.org/10.1088/1757-899x/1053/1/012114

Igwebuike, C. M., Awad, S., & Andrès, Y. (2024). Renewable Energy Potential: Second-Generation Biomass as Feedstock for Bioethanol Production. Molecules, 29(7). https://doi.org/10.3390/molecules29071619

Jilani, S. A. (2022). Overview of Distillation Techniques and Process in Recovery and Reuse of Volatile Liquids. February 2018.

Juan, O.-C., Kevin, P.-A. L., & Donaji, J.-I. (2023). Temperature Control in the Ethanol-Water Distillation Process. Advances in Modelling and Analysis B, 66(1–4), 19–25. https://doi.org/10.18280/ama_b.661-403

Kravchenko, Y., Leshchenko, O., Dakhno, N., Deinega, V., Shevchenko, H., & Trush, O. (2020). Intellectual fuzzy system air pollution control. ATIT 2020 - Proceedings: 2020 2nd IEEE International Conference on Advanced Trends in Information Theory, 186–191. https://doi.org/10.1109/ATIT50783.2020.9349334

Kusumawati, N., Setiarso, P., Santoso, A. B., & Muslim, S. (2022). Expansion of Hand Hygiene Compliance and Decreasing Counterfeiting of Sanitation Products in the Era of the COVID-19 through Diversification and Standardization of Alcohol-Based Gel and Wipes Hand Sanitizer. International Journal on Advanced Science, Engineering and Information Technology, 12(1), 411–422. https://doi.org/10.18517/ijaseit.12.1.13940

Kwon, H., Oh, K. C., Choi, Y., Chung, Y. G., & Kim, J. (2021). Development and application of machine learning-based prediction model for distillation column. International Journal of Intelligent Systems, 36(5), 1970–1997. https://doi.org/10.1002/int.22368

Mahmoud, M. M. A. S. (2018). Damping of Surge Effects and Enhancement of Dynamic Response of Distillation Plant Using MIMO Fuzzy Control. IFAC-PapersOnLine, 51(30), 15–20. https://doi.org/10.1016/j.ifacol.2018.11.237

Marbun, M., Ramdhan, W., Priyanto, D., Zarlis, M., & Nasution, Z. (2019). Philosophy of Fuzzy Logic as Fundamental of Decision Making Based on Rule. Journal of Physics: Conference Series, 1230(1). https://doi.org/10.1088/1742-6596/1230/1/012021

Mendel, J. M. (2019). Type-2 fuzzy sets as well as computing with words. IEEE Computational Intelligence Magazine, 14(1), 82–95. https://doi.org/10.1109/MCI.2018.2881646

Nafisah, N., Syamsiana, I. N., Putri, R. I., Kusuma, W., & Sumari, A. D. W. (2024). Implementation of fuzzy logic control algorithm for temperature control in robusta rotary dryer coffee bean dryer. MethodsX, 12, 102580. https://doi.org/10.1016/J.MEX.2024.102580

Nartker, T. A., Skrygley, J. M., & Holland, C. D. (1966). Solution of problems involving systems of distillation columns. The Canadian Journal of Chemical Engineering, 44(4), 217–226. https://doi.org/10.1002/cjce.5450440406

Peter, G., Praghash, K., Sherine, A., & Ganji, V. (2022). A Combined PWM and AEM-Based AC Voltage Controller for Resistive Loads. Mathematical Problems in Engineering, 2022. https://doi.org/10.1155/2022/9246050

Santra, S. B., Bhattacharya, K., Chudhury, T. R., & Chatterjee, D. (2018). Generation of PWM Schemes for Power Electronic Converters. 2018 20th National Power Systems Conference, NPSC 2018, 1–6. https://doi.org/10.1109/NPSC.2018.8771819

Sarkar, N., Ghosh, S. K., Bannerjee, S., & Aikat, K. (2012). Bioethanol production from agricultural wastes: An overview. Renewable Energy, 37(1), 19–27. https://doi.org/10.1016/j.renene.2011.06.045

Shen, C., Zhao, Y., & Li, Y. (2018). Design of Boiler Steam Temperature Control System. Thermal Science and Engineering, 1(1). https://doi.org/10.24294/tse.v1i1.357

Singerman, P. G., Orourke, S. M., Narayanan, R. M., & Rangaswamy, M. (2021). Language-Based Cost Functions: Another Step Toward a Truly Cognitive Radar. IEEE Transactions on Aerospace and Electronic Systems, 57(6), 3827–3843. https://doi.org/10.1109/TAES.2021.3082714

Stem, R., & Kuhn, U. (1995). Automation of a Batch Distillation Column Using Fuzzy and Conventional Control. In IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (Vol. 3, Issue 2).

Sunardi, Yudhana, A., & Furizal. (2023). Tsukamoto Fuzzy Inference System on Internet of Things-Based for Room Temperature and Humidity Control. IEEE Access, 11, 6209–6227. https://doi.org/10.1109/ACCESS.2023.3236183

Vieira, J. P. F., Ienczak, J. L., Costa, P. S., Rossell, C. E. V., Franco, T. T., & Pradella, J. G. C. (2016). Single cell oil production integrated to a sugarcane-mill: Conceptual design, process specifications and economic analysis using molasses as raw material. Industrial Crops and Products, 89, 478–485. https://doi.org/10.1016/j.indcrop.2016.05.046

Wang, B., & Tang, Y. (2020). Research on fuzzy control of pwm rectifier voltage. Proceedings - 2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering, AEMCSE 2020, 798–801. https://doi.org/10.1109/AEMCSE50948.2020.00174

Zentou, H., Abidin, Z. Z., Zouanti, M., & Greetham, D. (n.d.). Effect of Operating Conditions on Molasses fermentation for Bioethanol production SEE PROFILE. https://www.researchgate.net/publication/319273429

Zhang, B., Wei, Z., & Mao, B. (2024). Flocculation with intermittent dosing for enhanced microalgae harvesting. Separation and Purification Technology, 330. https://doi.org/10.1016/j.seppur.2023.125445

DOI: https://doi.org/10.31869/rtj.v9i2.7453