PROTOTIPE ASISTENSI PENGENALAN SUARA UNTUK MANUVER KAPAL
DOI:
10.54443/sibatik.v5i3.4401Published:
2026-02-28Downloads
Abstract
The rapid advancement of maritime automation through IMO's MASS framework highlights the need for voice-assisted navigation systems to enhance crew efficiency during ship maneuvering. This research aims to design a voice recognition prototype for ship steering, integrate it as an alternative control mode, and improve deck crew productivity. Employing a Research and Development (R&D) approach with prototype development, the study targeted navigation trainees and officers at Politeknik Pelayaran Surabaya (N=population during 12-month sea practice), using purposive sampling of 5 beta testers plus researcher for alpha testing. Instruments included DFRobot DF2301Q voice module, ESP32 DevKitC microcontroller, MG996R servos, potentiometer, and WS2812B LEDs, analyzed through static/dynamic tests measuring command accuracy (>90%), servo stability (35°-150°), and response time (<3s). Results demonstrated 90%+ recognition of wake word "MERATUS" and 17 navigation commands, stable servo operation, and linear sensor feedback. The prototype proves viable as MASS Level 1 decision support, reducing manual crew dependency during maneuvers.
Keywords:
Maritime Automation MASS Prototype Development Ship Maneuvering Voice RecognitionReferences
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Copyright (c) 2026 Gita Bayu Prasojo, Muhamad Imam Firdaus, Faris Nofandi, Tri Haryanto
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