RAHARJARAHARJA

CCIT (Creative Communication and Innovative Technology) JournalCCIT (Creative Communication and Innovative Technology) Journal

Current technological developments are very fast and progressing. One of the developments that occurs in the IoT (Internet Of Things) system. Many IOT (Internet Of Things) systems already have open source and can be suitable as needed, therefore by utilizing technological advancements, lamp controllers and house doors are made using Telegram applications. This control system can carry out home communications and control home electronic devices such as lights and house doors remotely using the Wemos and Arduino UNO microcontrollers. The Telegram application is used to send commands connected to the io.adafruit.com server. This system can provide notifications sent to the Telegram application when the house door is opened. The conclusion of the results obtained when the tool needed to communicate with the server is 12.94 seconds. For the voltage of 4 lights ± 220 V AC and for servo voltage ± 4.8 V DC. For the response time of the tool to the server ± 3 seconds, while the response time of the tool to Nextion LCD is ± 1 second.

Based on the tests, it can be concluded that the program runs well according to the initial command, from magnetic sensors as door safety to controlling applications in the system.It should be noted that to use the prototype on smartphone devices, settings are needed on IFTTT and io.com servers, which process data from the prototype to the database.The application is quite responsive and accurate, with a slight delay due to communication between the Wemos microcontroller and the server.

Penelitian lebih lanjut dapat dilakukan dengan mengembangkan sistem ini menggunakan metode kontrol lain seperti web atau aplikasi Android, sehingga memberikan fleksibilitas lebih kepada pengguna. Selain itu, pengembangan server io.adafruit.com dan IFTTT secara mandiri dapat meningkatkan keamanan dan keandalan sistem. Untuk memperluas cakupan aplikasi, penelitian dapat difokuskan pada integrasi dengan sensor-sensor lain seperti sensor suhu dan kelembaban, serta pengembangan algoritma kecerdasan buatan untuk otomatisasi yang lebih cerdas, misalnya pengaturan lampu berdasarkan tingkat pencahayaan atau pengaturan suhu ruangan berdasarkan preferensi pengguna. Hal ini akan menciptakan sistem rumah pintar yang lebih adaptif dan responsif terhadap kebutuhan penghuni.

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