Implementasi Logika Fuzzy pada Sistem Kendali Suhu Dan Kelembaban Udara Ruangan Pengering Biji Kopi Berbasis Mikrokontroller
Article Sidebar
Published
Jan 31, 2024
Main Article Content
Abstract
Kopi merupakan salah satu minuman yang digemari karena rasanya yang unik. Salah satu proses penanganan yang paling penting dalam pengolahan biji kopi adalah pada proses pengeringan biji kopi. Proses pengeringan biji kopi yang baik memerlukan ruang pengering yang dapat distabilkan pada suhu dan kelembaban yang stabil. Pengaturan suhu ruangan dapat dilakukan secara manual maupun dengan menggunakan mikrokontroler. Penerapan logika fuzzy dapat menghasilkan pengaturan suhu dan kelembaban yang lebih stabil, pada penelitian ini dikembangkan sistem pengendalian suhu dan kelembaban ruangan dengan logika fuzzy berbasis mikrokontroler. Hasil penelitian menunjukkan bahwa sistem kendali logika fuzzy berbasis mikrokontroler dapat mengontrol suhu dan kelembaban ruang pengering kopi, dan telah berhasil diimplementasikan ke dalam mikrokontroler dengan hasil pengujian simulasi menggunakan MATLAB. Hasil pada mikrokontroler mempunyai rata-rata deviasi keluaran sebesar 0,03500 dan rata-rata deviasi keluaran pengaturan kipas sebesar 0,01225.
Article Details
How to Cite
Fatkhurrozi, B., & Setiawan, H. (2024). Implementasi Logika Fuzzy pada Sistem Kendali Suhu Dan Kelembaban Udara Ruangan Pengering Biji Kopi Berbasis Mikrokontroller. Journal of Telecommunication Electronics and Control Engineering (JTECE), 6(1), 50-59. https://doi.org/10.20895/jtece.v6i1.1319
Section
Articles
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
References
[1] H. Poerwanty, “PENGARUH SUHU DAN LAMA FERMENTASI KOPI TERHADAP KADAR KAFEIN,” AGP, vol. 10, no. 2, pp. 124–130, Sep. 2021, doi: 10.51978/agro.v10i2.293.
[2] R. Priamudi, “ALAT UJI KADAR AIR PADA BIJI KOPI BERBASIS MIKROKONTROLLER ARDUINO UNO R3,” Jurnal Portal Data, vol. 2, no. 2, Mar. 2022, [Online]. Available: http://portaldata.org/index.php/portaldata/article/view/76
[3] A. P. Hidayat and R. Siskandar, “Karakteristik Fisik Kopi Arabika Berbagai Daerah di Indonesia Pada Tingkat Penyangraian Sama,” Jurnal Sains Indonesia, vol. 3, no. 2, pp. 86–92, 2022.
[4] F. H. Purwanto, E. Utami, and E. Pramono, “Design of server room temperature and humidity control system using fuzzy logic based on microcontroller,” in 2018 International Conference on Information and Communications Technology (ICOIACT), Yogyakarta: IEEE, Mar. 2018, pp. 390–395. doi: 10.1109/ICOIACT.2018.8350770.
[5] A. Sunardi, D. Agus, H. Aditya, and W. Susila, “Online air velocity control, temperature and humidity monitoring system for clean room using Raspberry Pi,” IOP Conf. Ser.: Mater. Sci. Eng., vol. 550, no. 1, p. 012011, Jul. 2019, doi: 10.1088/1757-899X/550/1/012011.
[6] S. A. U. R. Omer and E. Muhammad, “Design of intelligent air conditioner controller using fuzzy logic,” in 2017 International Conference on Innovations in Electrical Engineering and Computational Technologies (ICIEECT), Karachi, Pakistan: IEEE, Apr. 2017, pp. 1–5. doi: 10.1109/ICIEECT.2017.7916556.
[7] A. Iskandar, “Implementasi IoT Pada Sistem Monitoring dan Kendali Otomatis Suhu Dan Kelembaban Ruangan Sarang Burung Walet Berbasis Mikrokontroler,” Jurnal Cyber Tech, vol. 4, no. 8, 2022.
[8] Y. Yolnasdi, A. Arviansyah, D. Irfan, and A. Ambiyar, “Rancang Bangun Pengontrol Suhu Ruangan Berbasis Mikrokontroler Arduino Uno,” INTECOMS: Journal of Information Technology and Computer Science, vol. 3, no. 2, pp. 218–226, 2020.
[9] N. U. Ahamed, Z. B. Taha, I. B. M. Khairuddin, M. F. Rabbi, S. A. M. M. Rahaman, and K. Sundaraj, “Fuzzy logic controller design for intelligent air-conditioning system,” in 2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE), Singapore: IEEE, Jul. 2016, pp. 232–236. doi: 10.1109/CCSSE.2016.7784388.
[10] J. Shaati Jahlool, “Design and Simulation of Automatic Temperature Control and Alert System Based PIC16F887,” APTIKOM Journal Comput. Sci. Inf. Technol., vol. 2, no. 2, pp. 77–85, Jul. 2017, doi: 10.11591/APTIKOM.J.CSIT.108.
[11] S. Kunjumon, K. Pinto, and J. Saldanha, “Temperature and humidity monitoring and alert management system,” International Journal of Engineering Research and General Science, vol. 4, no. 4, pp. 349–351, 2016.
[12] Y. Karinia, V. Violita, H. Tarigan, N. Y. Sudiar, and Y. Yulkifli, “Soil moisture measurement tools using SHT11 sensors based on the Internet of Things,” INVOTEK: Jurnal Inovasi Vokasional dan Teknologi, vol. 21, no. 3, pp. 165–174, 2021.
[13] L. Yu, Q. Zhang, X. Meng, and Z. Yan, “Design of the granary temperature and humidity measure and control systembased on Zigbee wireless sensor network,” in 2011 International Conference on Electrical and Control Engineering, IEEE, 2011, pp. 1055–1058.
[14] S. Sunanto, R. Firdaus, and M. S. 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, 2021.
[15] N. Iksan, L. Hidayati, T. Andrasto, and K. Fathoni, “Sistem Kendali Suhu dan Kelembapan pada Alat Penetas Telur Berbasis Fuzzy Logic Controller,” JEPIN (Jurnal Edukasi dan Penelitian Informatika), vol. 8, no. 2, pp. 245–254, 2022.
[16] A. D. Putri and A. Maulana, “Penerapan Metode Mamdani Fuzzy Logic untuk Menentukan Pembelian Alat Berat dalam Proyek Migas di PT SMOE Indonesia,” Jurnal Desain Dan Analisis Teknologi, vol. 2, no. 2, pp. 138–149, 2023.
[17] N. Jarti, “IMPLEMENTASI LOGIKA FUZZY UNTUK PEMILIHAN SEPEDA MOTOR MEREK HONDA DENGAN METODE MAMDANI,” JR: Jurnal Responsive Teknik Informatika, vol. 2, no. 01, pp. 51–58, 2018.
[18] O. Cordón, “A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems,” International journal of approximate reasoning, vol. 52, no. 6, pp. 894–913, 2011.
[19] L.-C. Duţu, G. Mauris, and P. Bolon, “A fast and accurate rule-base generation method for Mamdani fuzzy systems,” IEEE Transactions on Fuzzy Systems, vol. 26, no. 2, pp. 715–733, 2017.
[20] X. Li, T. Zhao, P. Fan, and J. Zhang, “Rule-based fuzzy control method for static pressure reset using improved Mamdani model in VAV systems,” Journal of Building Engineering, vol. 22, pp. 192–199, 2019.
[2] R. Priamudi, “ALAT UJI KADAR AIR PADA BIJI KOPI BERBASIS MIKROKONTROLLER ARDUINO UNO R3,” Jurnal Portal Data, vol. 2, no. 2, Mar. 2022, [Online]. Available: http://portaldata.org/index.php/portaldata/article/view/76
[3] A. P. Hidayat and R. Siskandar, “Karakteristik Fisik Kopi Arabika Berbagai Daerah di Indonesia Pada Tingkat Penyangraian Sama,” Jurnal Sains Indonesia, vol. 3, no. 2, pp. 86–92, 2022.
[4] F. H. Purwanto, E. Utami, and E. Pramono, “Design of server room temperature and humidity control system using fuzzy logic based on microcontroller,” in 2018 International Conference on Information and Communications Technology (ICOIACT), Yogyakarta: IEEE, Mar. 2018, pp. 390–395. doi: 10.1109/ICOIACT.2018.8350770.
[5] A. Sunardi, D. Agus, H. Aditya, and W. Susila, “Online air velocity control, temperature and humidity monitoring system for clean room using Raspberry Pi,” IOP Conf. Ser.: Mater. Sci. Eng., vol. 550, no. 1, p. 012011, Jul. 2019, doi: 10.1088/1757-899X/550/1/012011.
[6] S. A. U. R. Omer and E. Muhammad, “Design of intelligent air conditioner controller using fuzzy logic,” in 2017 International Conference on Innovations in Electrical Engineering and Computational Technologies (ICIEECT), Karachi, Pakistan: IEEE, Apr. 2017, pp. 1–5. doi: 10.1109/ICIEECT.2017.7916556.
[7] A. Iskandar, “Implementasi IoT Pada Sistem Monitoring dan Kendali Otomatis Suhu Dan Kelembaban Ruangan Sarang Burung Walet Berbasis Mikrokontroler,” Jurnal Cyber Tech, vol. 4, no. 8, 2022.
[8] Y. Yolnasdi, A. Arviansyah, D. Irfan, and A. Ambiyar, “Rancang Bangun Pengontrol Suhu Ruangan Berbasis Mikrokontroler Arduino Uno,” INTECOMS: Journal of Information Technology and Computer Science, vol. 3, no. 2, pp. 218–226, 2020.
[9] N. U. Ahamed, Z. B. Taha, I. B. M. Khairuddin, M. F. Rabbi, S. A. M. M. Rahaman, and K. Sundaraj, “Fuzzy logic controller design for intelligent air-conditioning system,” in 2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE), Singapore: IEEE, Jul. 2016, pp. 232–236. doi: 10.1109/CCSSE.2016.7784388.
[10] J. Shaati Jahlool, “Design and Simulation of Automatic Temperature Control and Alert System Based PIC16F887,” APTIKOM Journal Comput. Sci. Inf. Technol., vol. 2, no. 2, pp. 77–85, Jul. 2017, doi: 10.11591/APTIKOM.J.CSIT.108.
[11] S. Kunjumon, K. Pinto, and J. Saldanha, “Temperature and humidity monitoring and alert management system,” International Journal of Engineering Research and General Science, vol. 4, no. 4, pp. 349–351, 2016.
[12] Y. Karinia, V. Violita, H. Tarigan, N. Y. Sudiar, and Y. Yulkifli, “Soil moisture measurement tools using SHT11 sensors based on the Internet of Things,” INVOTEK: Jurnal Inovasi Vokasional dan Teknologi, vol. 21, no. 3, pp. 165–174, 2021.
[13] L. Yu, Q. Zhang, X. Meng, and Z. Yan, “Design of the granary temperature and humidity measure and control systembased on Zigbee wireless sensor network,” in 2011 International Conference on Electrical and Control Engineering, IEEE, 2011, pp. 1055–1058.
[14] S. Sunanto, R. Firdaus, and M. S. 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, 2021.
[15] N. Iksan, L. Hidayati, T. Andrasto, and K. Fathoni, “Sistem Kendali Suhu dan Kelembapan pada Alat Penetas Telur Berbasis Fuzzy Logic Controller,” JEPIN (Jurnal Edukasi dan Penelitian Informatika), vol. 8, no. 2, pp. 245–254, 2022.
[16] A. D. Putri and A. Maulana, “Penerapan Metode Mamdani Fuzzy Logic untuk Menentukan Pembelian Alat Berat dalam Proyek Migas di PT SMOE Indonesia,” Jurnal Desain Dan Analisis Teknologi, vol. 2, no. 2, pp. 138–149, 2023.
[17] N. Jarti, “IMPLEMENTASI LOGIKA FUZZY UNTUK PEMILIHAN SEPEDA MOTOR MEREK HONDA DENGAN METODE MAMDANI,” JR: Jurnal Responsive Teknik Informatika, vol. 2, no. 01, pp. 51–58, 2018.
[18] O. Cordón, “A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems,” International journal of approximate reasoning, vol. 52, no. 6, pp. 894–913, 2011.
[19] L.-C. Duţu, G. Mauris, and P. Bolon, “A fast and accurate rule-base generation method for Mamdani fuzzy systems,” IEEE Transactions on Fuzzy Systems, vol. 26, no. 2, pp. 715–733, 2017.
[20] X. Li, T. Zhao, P. Fan, and J. Zhang, “Rule-based fuzzy control method for static pressure reset using improved Mamdani model in VAV systems,” Journal of Building Engineering, vol. 22, pp. 192–199, 2019.