Penerapan Sistem Tertanam Untuk Deteksi Posisi Duduk
DOI:
https://doi.org/10.30996/konv.v19i1.8123Keywords:
Sistem tertanam, Mikrokontroller, Kalman FilterAbstract
The use of computers today has penetrated all walks of life because they can simplify and speed up all kinds of work so that many people spend time sitting in front of computers to complete their work, but there is a problem that most people, when sitting for a long time tend to ignore their sitting position, whether they are sitting in a correct or incorrect sitting position. Based on these problems, this study proposes a system that can provide a warning to the user when the user sits in the wrong condition. In this study, the IMU MPU6050 sensor was used, placed on the user's back area, and the Arduino nano microcontroller was used as a processor for reading the results of sensors, buzzers, and Android-based mobile applications. The problem of reading sensor angle values caused by noise can be overcome by using the Kalman filter so that the sensor reading results become more accurate. Based on the movement of the back that was carried out in the test of Axis X when the position of the back looks forward and backward has a small offsite value of 0.54°. The process of sending data has a success rate of 100% with a response time of around 51ms. For data transmission range capability as far as 25 meters.
Keywords: Embedded system, Microcontroller, Kalman Filter
ABSTRAK
Penggunaan komputer dewasa ini sudah merambah semua lapisan masyarakat karena dapat mempermudah dan mempercepat segala macam pekerjaan sehingga banyak orang menghabiskan waktu duduk didepan komputer untuk menyelesaikan pekerjaan mereka, namun terdapat permasalahan kebanyakan orang ketika duduk dalam waktu yang lama cenderung mengabaikan posisi duduk mereka, apakah mereka duduk dalam kondisi posisi duduk yang benar atau salah. Berdasarkan permasalahan tersebut, dalam penelitian ini mengusulkan sebuah sistem yang dapat memberikan peringatan kepada pengguna ketika pengguna duduk dengan kondisi yang salah. Pada penelitian ini menggunakan sensor IMU MPU6050 yang diletakkan pada area punggung pengguna dan mikrokontroller Arduino nano yang digunakan sebagai pemroses hasil pembacaan sensor, buzzer dan aplikasi mobile berbasis android. Permasalahan pembacaan nilai sudut sensor yang diakibatkan oleh derau dapat diatasi dengan menggunakan kalman filter sehingga hasil pembacaan sensor menjadi lebih akurat. Berdasarkan gerakan pada punggung yang dilakuakan pada pengujian terhadap Axis X saat posisi punggung mendongak kedepan dan kebelakang memiliki nilai offsite yang kecil sebesar 0.54°. Proses pengiriman data memiliki tingkat keberhasilan sebesar 100% dengan respond time sekitar 51ms. Untuk kemampuan jangkauan pengiriman data sejauh 25 Meter.
Kata Kunci: Sistem tertanam, Mikrokontroller, Kalman Filter
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