Perancangan Kacamata Pintar Berbasis GPS Dan Kompas Dengan Sistem Panduan Audio Untuk Navigasi Waypoint Bagi Tunanetra

Tetelepta, Justin Christopher (2026) Perancangan Kacamata Pintar Berbasis GPS Dan Kompas Dengan Sistem Panduan Audio Untuk Navigasi Waypoint Bagi Tunanetra. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penyandang tunanetra menghadapi kesulitan dalam melakukan navigasi secara mandiri, terutama ketika harus menuju lokasi yang belum dikenal. Alat bantu konvensional seperti tongkat putih hanya mampu mendeteksi rintangan dalam jarak dekat dan belum dapat mem berikan panduan arah menuju tujuan tertentu. Untuk mengatasi keterbatasan tersebut, peneli tian ini merancang sebuah sistem kacamata pintar berbasis kompas digital dan navigasi GPS untuk membantu pengguna tunanetra dalam navigasi berbasis titik tujuan (waypoint). Sistem menggunakan sensor MPU9250 yang terhubung dengan mikrokontroler ESP32 untuk memper oleh data arah hadap pengguna secara real-time. Data heading kemudian dikirimkan melalui Bluetooth Low Energy (BLE) ke aplikasi smartphone yang menangani pemrosesan GPS, per hitungan rute, dan navigasi waypoint. Sistem membandingkan arah pengguna dengan arah tujuan untuk menghasilkan instruksi suara seperti “belok kiri”, “belok kanan”, atau “lurus”. Prototipe dikembangkan dalam bentuk wearable berbasis kacamata menggunakan desain hasil pencetakan 3D (3D printing) sehingga dapat digunakan secara hands-free dan nyaman digu nakan dalam aktivitas sehari-hari. Berdasarkan hasil pengujian, sistem mampu memberikan panduan navigasi secara real-time dengan rata-rata error kompas sebesar 4,33◦, rata-rata latency komunikasi sebesar 30,07 ms, serta tingkat keberhasilan navigasi end-to-end sebesar 100%. Sistem ini diharapkan dapat menjadi solusi navigasi yang terjangkau, praktis, dan mampu meningkatkan kemandirian penyandang tunanetra.
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Visually impaired individuals face significant challenges in navigating independently, par ticularly when traveling to unfamiliar locations. Conventional assistive tools such as white canes can only detect nearby obstacles and are unable to provide directional guidance toward a specific destination. To address these limitations, this study designs a smart glasses system based on a digital compass and GPS navigation to assist visually impaired users in waypoint based navigation. The system utilizes an MPU9250 sensor connected to an ESP32 microcon troller to obtain real-time heading data from the user. The heading data is then transmitted via Bluetooth Low Energy (BLE) to a smartphone application that handles GPS processing, route calculation, and waypoint navigation. The system compares the user’s heading with the tar get bearing to generate voice instructions such as ”turn left”, ”turn right”, or ”go straight”. The prototype was developed as a wearable device in the form of glasses using a 3D-printed frame, enabling hands-free operation and comfortable use in daily activities. Based on testing results, the system is capable of providing real-time navigation guidance with an average com pass error of 4,33◦, BLE communication latency below 100 ms, and a navigation success rate of 100%. This system is expected to serve as an affordable and practical navigation solution that enhances the independence of visually impaired individuals

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Tunanetra, Waypoint, GPS, Compass, ESP32, Visually Impaired, Waypoint, GPS, Compass, ESP32.
Subjects:	Q Science > QA Mathematics > QA76.758 Software engineering Q Science > QA Mathematics > QA76.76.A63 Application program interfaces T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK6592.A9 Automatic tracking. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7871.674 Detectors. Sensors T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7878 Electronic instruments
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Computer Engineering > 90243-(S1) Undergraduate Thesis
Depositing User:	Justin Christopher Tetelepta
Date Deposited:	07 Jul 2026 08:17
Last Modified:	07 Jul 2026 08:17
URI:	http://repository.its.ac.id/id/eprint/134405

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