Pengembangan dan Integrasi Plugin Perintah Suara untuk Peningkatan Aksesibilitas dan Usabilitas Aplikasi Manajemen Stok

Pratama, Raditya (2026) Pengembangan dan Integrasi Plugin Perintah Suara untuk Peningkatan Aksesibilitas dan Usabilitas Aplikasi Manajemen Stok. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Digitalisasi Usaha Mikro, Kecil, dan Menengah (UMKM) sektor ritel kerap terhambat oleh ketidaksesuaian desain aplikasi dengan realitas operasional pengguna. Pelaku usaha UMKM bekerja dalam kondisi hambatan situasional (situational impairment) tinggi yang menjadikan antarmuka Graphical User Interface (GUI) berbasis sentuhan tidak optimal. Penelitian ini mengembangkan artefak plugin Voice User Interface (VUI) yang terintegrasi pada aplikasi manajemen stok eksisting menggunakan pendekatan Grey-Box dan polaEvent-Driven. Mengadopsi metodologi Design Science Research (DSR), penelitian ini merumuskan lima persyaratan meta dan lima prinsip desain preskriptif yang mencakup pemetaan deterministik, umpan balik visual, sinkronisasi konteks, integrasi non-invasif, dan pemrosesan nirjaringan. Artefak memanfaatkan Android Accessibility Service dan mesin NLP lokal berbasis regex untuk memproses perintah suara secara on-device. Evaluasi dilakukan dalam dua fase: pengujian terkendali (5 partisipan tech-literate) dan evaluasi lapangan (5 pelaku UMKM). Hasil pengujian usabilitas untuk menguji keberhasilan intervensi VUI dibandingkan dengan GUI menunjukkan bahwa pada konteks pengguna UMKM dengan literasi digital rendah, VUI meningkatkan efisiensi waktu sebesar 61,15% (rerata GUI 56,50 detik vs VUI 21,95 detik) dengan Task Success Rate 100%. Skor SUS menunjukkan kesetaraan persepsi usabilitas antara GUI (86,0) dan VUI (85,0), keduanya berkategoriExcellent. Perbandingan lintas fase mengungkap bahwa VUI berfungsi sebagaiequalizer aksesibilitas: keuntungan terbesar diperoleh pengguna dengan literasi digital rendah.
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The digitalization of Micro, Small, and Medium Enterprises (MSMEs) in the retail sector is frequently hindered by the misalignment between application design and users’ operational realities. MSME operators work under high situational impairment conditions, rendering touch-based Graphical User Interfaces (GUI) suboptimal. This research develops a Voice User Interface (VUI) plugin artifact integrated into an existing stock management application using a Grey-Box approach and Event-Driven communication pattern. Adopting the Design Science Research (DSR) methodology, this study formulates five meta-requirements and five prescriptive design principles encompassing deterministic mapping, real-time visual feedback, screen context synchronization, non-invasive integration, and on-device processing. The artifact leverages Android Accessibility Service and a local regex-based NLP engine to process voice commands on-device. Evaluation was conducted in two phases: controlled testing (5 tech-literate participants) and field evaluation (5 MSME operators). Usability testing results to evaluate the success of VUI intervention compared to GUI show that in the context of MSME users with low digital literacy, VUI improved task completion efficiency by 61.15% (mean GUI 56.50 seconds vs. VUI 21.95 seconds) with a Task Success Rate of 100%. SUS scores indicated equivalent perceived usability between GUI (86.0) and VUI (85.0), both categorized as Excellent. Cross-phase comparison revealed that VUI functions as an accessibility equalizer: the greatest efficiency gains were achieved by users with limited digital literacy.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Aksesibilitas Digital, Antarmuka Pengguna Suara (VUI), Design Science Research (DSR), Manajemen Stok, Plugin, UMKM, Usabilitas, Accessibility, Design Science Research (DSR), Plugin, Stock Management, MSME, Usability, Voice User Interface (VUI)
Subjects:	T Technology > T Technology (General) T Technology > T Technology (General) > T58.8 Productivity. Efficiency T Technology > T Technology (General) > T59.7 Human-machine systems.
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Information System > 59101-(S2) Master Thesis
Depositing User:	Raditya Pratama
Date Deposited:	08 Jul 2026 01:46
Last Modified:	08 Jul 2026 01:46
URI:	http://repository.its.ac.id/id/eprint/134452

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