Development of Canopy Monitoring Tools in Smart Home Systems Based on IoT (Internet of Things)
DOI:
https://doi.org/10.33379/gtech.v8i3.4533Keywords:
Canopy, DHT22, ESP32, BH1750, RaindropAbstract
The main problem if using a regular canopy, if the room is used for activities such as drying clothes, sunlight cannot enter the area and the canopy becomes less effective in terms of design or benefits. This research aims to develop a tool to monitor and control the canopy automatically using the prototyping method starting from Communication, Quick Plan, Modeling Quick Design, Construction of Prototype, and Deployment Delivery & Feedback. This research produces innovative solutions to increase the effectiveness of canopies, especially if they are on limited land, using microcontrollers combined with Raindrop, DHT22, BH1750 sensors. The addition of the DHT22 humidity sensor and the BH1750 light sensor can help the Raindrop sensor in validating rainy or sunny conditions, making the system more accurate. The test results of the three sensors based on the rules / regulations obtained a system that can carry out the task as expected. Based on Black Box testing on the IoT System, the results show that the system can be integrated with the Blynk platform properly.
References
Ardiansah, R., Susanto, R., & Pradana, A. I. (2023). Sistem Penyiraman Otomatis Pada Tanaman dengan Monitoring Berbasis IoT (Internet of Things). JUPITER (Jurnal Pendidikan Teknik Elektro), 8(1), 31–38.
Bandri, S., Andari, R., & Tias, F. N. (2021). Pengaruh Intensitas Cahaya Matahari Terhadap Tegangan Dan Arus Yang Dihasilkan Panel Surya. Jurnal Teknik Elektro, 10(2), 106–113.
Faturrachman, M., & Yustiana, I. (2021). Sistem Keamanan Pintu Rumah dengan Sidik Jari Berbasis Internet of Things (IOT). Jurnal Teknik Informatika Unika Santo Thomas, 379–385.
Firgianingsih, U. F. U., Nurchim, N., & Susanto, R. (2024). Implementasi Sistem Smart Home Untuk Monitoring Dan Kontrol Peralatan Rumah Berbasis Internet of Things. JUPITER (Jurnal Pendidikan Teknik Elektro), 9(1), 1–12.
Gunawan, A. R., Gunaryati, A., & Darussalam, U. (2021). Sistem Monitoring Kanopi Pintar Secara Real-time Berbasis IOT. STRING (Satuan Tulisan Riset Dan Inovasi Teknologi), 5(3), 245. https://doi.org/10.30998/string.v5i3.8205
Khuriati, A. (2022). Sistem Pemantau Intensitas Cahaya Ambien Dengan Sensor Bh1750 Berbasis Mikrokontroler Arduino Nano. Berkala Fisika, 25(3), 105–110.
Kuncoro, W., Maulindar, J., & Indah, R. P. (2023). Monitoring Peringatan Dini Kebakaran Pada Sistem Smart Home Menggunakan NodeMcu Berbasis IoT. Generation Journal, 7(2), 105–115. https://doi.org/10.29407/gj.v7i2.20015
Latifa, U., & Slamet Saputro, J. (2018). Perancangan Robot Arm Gripper Berbasis Arduino Uno Menggunakan Antarmuka Labview. Barometer, 3(2), 138–141. https://doi.org/10.35261/barometer.v3i2.1395
Mahesa, N. B. (2021). Rancangan Atap Otomatis Menggunakan Energi Surya Dengan Sensor LDR Berbasis IoT. JATISI (Jurnal Teknik Informatika Dan Sistem Informasi), 8(1), 250–260. https://doi.org/10.35957/jatisi.v8i1.634
Meilan, E., Isnawati, M., & Yamin, F. (2020). Rancang Bangun Aplikasi Kanopi Otomatis Berbasis Android Menggunakan Logika Fuzzy Tsukamoto. Universitas Halu Oleo, Kendari.
Muhammad ilham hakim, Kakang Nurwahid, & Ganis Sanhaji. (2023). Rancang Bangun Lampu Otomatis Dan Monitoring Suhu Ruangan Berbasis Internet Of Things Menggunakan NodeMCU V3 Dan Blynk. TESLA: Jurnal Teknik Elektro, 25(1), 82–91. https://doi.org/10.24912/tesla.v25i1.23284
Mujib, A. (2023). Pengontrolan Sistem Atap Jemuran Otomatis Berbasis Layanan Selular. S1, Program Studi Teknologi Informasi, Universitas Islam Negeri Walisongo Semarang.
Mulyati, S., Purnomo, B. P., & Imanudin, A. (2023). Rancang Bangun Prototype Kanopi Otomatis Pada Cafe Rooftop Menggunakan NodeMCU ESP8266 Dengan Aplikasi Blynk. Jurnal Teknik Elektro, 7(2), 60. https://doi.org/10.31000/jte.v7i2.9806
Normansyah, M. (2023). Implementasi Sistem Kanopi Otomatis Menggunakan Aplikasi Smartphone berbasis IoT. Journal Zetroem, 5(1), 51–54.
Satya, T. P., Oktiniwati, U. Y., Fahrurrozi, I., & Prisyanti, H. (2020). Analisis Akurasi Sistem sensor DHT22 berbasis Arduino terhadap Thermohygrometer Standar. Jurnal Fisika Dan Aplikasinya, 16(1), 40–45.
Suharjo, I. (2020). Prototype Alat Kendali Otomatis Penjemur Pakaian Menggunakan NodeMCU ESP32 Dan Telegram Bot Berbasis Internet of Things (IOT). Journal Of Information System And Artificial Intelligence, 1(1), 17–24.
Sumaedi, A. (2023). Mikrokontroler, Arduino, Raindrop Prototipe Deteksi Hujan berbasis Arduino Uno Menggunakan Raindrop Sensor Module. Jurnal Teknik Informatika, 9(1), 20–26.
Yusuf, M., Setyanto, A., & Aryasa, K. (2022). Analisis Prediksi Curah Hujan Bulanan Wilayah Kota Sorong Menggunakan Metode Multiple Regression. J-SAKTI (Jurnal Sains Komputer Dan Informatika), 6(1), 405–417.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Bagus Adi Nugroho, Rudi Susanto, Afu Ichsan Pradana
This work is licensed under a Creative Commons Attribution 4.0 International License.
