Implementasi Fuzzy Logic Mamdani pada Sistem Kendali Tirai Garasi Cerdas dengan Fusi Sensor Cahaya dan Proteksi Cuaca
DOI:
https://doi.org/10.69688/juksit.v4i2.104Keywords:
Smart Curtain, Arduino Uno, LDR Sensor, Rain Sensor, Mamdani FuzzyAbstract
Garasi rumah membutuhkan perlindungan optimal dari cuaca ekstrem sekaligus sirkulasi pencahayaan alami yang efisien. Penelitian ini bertujuan untuk merancang dan menguji purwarupa sistem kendali tirai garasi otomatis berbasis mikrokontroler guna mengelola pencahayaan secara dinamis dan memberikan respons perlindungan keamanan secara instan. Sistem diimplementasikan menggunakan Arduino Uno yang mengintegrasikan sensor Light Dependent Resistor (LDR) untuk mengukur intensitas cahaya matahari dan sensor hujan sebagai sakelar interupsi (override). Pengendalian mekanis posisi tirai menggunakan aktuator motor DC. Pengolahan data sensor beroperasi menggunakan algoritma Fuzzy Logic Mamdani melalui proses defuzzifikasi Center of Gravity (CoG) guna menghasilkan sinyal Pulse Width Modulation (PWM) yang proporsional. Hasil pengujian menunjukkan bahwa logika fuzzy berhasil mengatur kecepatan putaran motor DC secara transisional dan bergradasi halus dengan rentang nilai PWM 0 hingga 200 sesuai fluktuasi cahaya sekitar. Lebih lanjut, fusi sensor (sensor fusion) tervalidasi mampu mengeksekusi fungsi override secara mutlak saat terdeteksi presipitasi hujan; sistem merespons secara instan dengan menjatuhkan nilai PWM ke angka nol untuk menutup tirai sepenuhnya terlepas dari kondisi intensitas cahaya, sehingga menjamin keamanan ruang garasi secara efektif.
References
U. ur Rehman, P. Faria, L. Gomes, and Z. Vale, “Future of Energy Management Models in Smart Homes: A Systematic Literature Review of Research Trends, Gaps, and Future Directions,” Sep. 01, 2025, Springer. doi: 10.1007/s41660-025-00506-x.
H. B. Ahmad, R. R. Asaad, S. M. Abdulrahma, A. A. Hani, A. B. Sallow, and S. R. M. Zeebaree, “Smart Home Energy Saving with Big Data And Machine Learning,” Jurnal Ilmiah Ilmu Terapan Universitas Jambi, vol. 8, no. 1, pp. 11–20, Jun. 2024, doi: 10.22437/jiituj.v8i1.32598.
F. AlFaris, A. Juaidi, and F. Manzano-Agugliaro, “Intelligent homes’ technologies to optimize the energy performance for the net zero energy home,” Energy Build., vol. 153, pp. 262–274, 2017, doi: https://doi.org/10.1016/j.enbuild.2017.07.089.
Maia Research, “Future of the Global Smart Factory Market Size and Share by Type, Application, Region, and Player from 2025 to 2030,” https://www.maiaresearch.com/Press_Release/1867273.html.
R. Subekti et al., TRANSFORMASI DIGITAL (Teori & implementasi Menuju Era Society 5.0). 2024.
M. Junus and A. M. Imammuddin, “Sistem Kendali dan Monitoring Garasi Menggunakan Metode Fuzzy Logic Berdasarkan,” 2021. [Online]. Available: https://api.semanticscholar.org/CorpusID:245617480
Haris Asysyauqi, Moh. Ferdi Andriansyah, Lya Nurul Ulla, and Adi Sucipto, “Sistem Keamanan Pintu Otomatis Berbasis IoT dengan Teknologi RFID dan Aplikasi Mobile Menggunakan Metode Fuzzy Mamdani,” Modem : Jurnal Informatika dan Sains Teknologi., vol. 3, no. 2, pp. 42–50, Apr. 2025, doi: 10.62951/modem.v3i2.405.
I. F. Rahmad, J. H. Lubis, K. Ummi, and M. Ridho Akbar, “BEES: Bulletin of Electrical and Electronics Engineering Penerapan Fuzzy Logic Pada Sistem Pintu Otomatis Menggunakan Sidik Jari Berbasis Arduinno Uno,” Media Online), vol. 5, no. 1, p. 28, 2024, doi: 10.47065/bees.v5i1.5125.
M. Tonggiroh, F. Sumantyo, B. Prilosadosa, A. Vandika, and T. Sumitra, Artificial Intelligence: Konsep dan Penerapan Pada Kehidupan Modern. 2025.
D. S. Wijayanti, G. Mustiko Aji, A. Sumardiono, P. N. Cilacap, J. Dr, and S. Cilacap, “Implementasi Sensor Ldr dan Aplikasi Android Untuk Deteksi Kebusukan Telur,” E-JOINT ( Electronica and Electrical Journal of Innovation Technology), vol. 02, no. 1, pp. 12–20, 2021.
K. Zhang et al., “Interpretable research of fuzzy methods: A literature survey,” Information Fusion, vol. 126, p. 103524, 2026, doi: https://doi.org/10.1016/j.inffus.2025.103524.
N. Hacene and B. Mendil, “Fuzzy Behavior-based Control of Three Wheeled Omnidirectional Mobile Robot,” International Journal of Automation and Computing, vol. 16, no. 2, pp. 163–185, 2019, doi: 10.1007/s11633-018-1135-x.
Shwetank, Suhas, and J. K. Chaudhary, “A Comparative Study of Fuzzy Logic and WQI for Groundwater Quality Assessment,” Procedia Comput. Sci., vol. 171, pp. 1194–1203, 2020, doi: https://doi.org/10.1016/j.procs.2020.04.128.
S. K. Nagothu, P. Bindu Sri, G. Anitha, S. Vincent, and O. P. Kumar, “Advancing aquaculture: fuzzy logic-based water quality monitoring and maintenance system for precision aquaculture,” Aquaculture International, vol. 33, no. 1, Feb. 2025, doi: 10.1007/s10499-024-01701-2.
Y. Dong, Z. Huang, C. Gao, and Y. Song, “M-step random multiaccess protocol-based robust predictive control for Takagi-Sugeno fuzzy systems with persistent disturbances,” Fuzzy Sets Syst., vol. 522, p. 109605, 2026, doi: https://doi.org/10.1016/j.fss.2025.109605.
M. M. Hadist, I. Sulistiyowati, S. Syahrorini, and A. H. Falah, “SISTEM PENGAMBILAN KEPUTUSAN OTOMATIS BERBASIS FUZZY UNTUK KELAYAKAN REUSE AIR DRAIN MESIN RETORT,” Jurnal Al Ulum LPPM Universitas Al Washliyah Medan, vol. 14, no. 1, 2026.
J. Liu, W. Yinchai, T. C. Siong, X. Li, L. Zhao, and F. Wei, “On the combination of adaptive neuro-fuzzy inference system and deep residual network for improving detection rates on intrusion detection,” PLoS One, vol. 17, no. 12 December, Dec. 2022, doi: 10.1371/journal.pone.0278819.
A. S. Maulana et al., “FUZZY LOGIC ALGORITHM: REVIEW AND IMPLEMENTATION,” Jl. Semarang, vol. 4, no. 9, p. 65145, 2024, doi: 10.17977/um068.v4.i9.2024.3.
A. I. Rahmansyah, S. Masluha, A. Haris, and A. T. Mauliddiansari, “Implementation of Energy-Saving Lamp With Automatic System Using LDR SENSOR (Light Dependent Resistor) Combination at Village Guard Posts and Mosques in Probolinggo,” Empowerment Society, vol. 6, no. 2, pp. 85–92, Aug. 2023, doi: 10.30741/eps.v6i2.1082.
P. Sonewane, AutoShield: Smart Sensor-Triggered Motorized Canopy System for Crop Protection. 2026. doi: 10.5281/zenodo.19348480.
H. Sihotang, M. Pd, P. Penerbitan, P. Buku, and P. Tinggi, METODE PENELITIAN KUANTITATIF. 2023.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Fajar Ar-rauf, Supandi Supandi, Wijayanto Wijayanto
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
