Mahmudin, Hajon Mahdy (2024) Inovasi Platform Pembelajaran Qur’an Dengan Teknologi Artificial Inteligence Deepspeech Menggunakan Metode Design Sprint. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Rendahnya tingkat literasi Al-Qur'an di Indonesia, dengan 65% populasi Muslim kesulitan membaca dan memahami Al-Qur'an, mendorong kebutuhan akan solusi pembelajaran inovatif. Penelitian ini menggunakan metode Design Sprint untuk mengembangkan platform pembelajaran Al-Qur'an berbasis teknologi Artificial Intelligence (AI) DeepSpeech, yang bertujuan untuk meningkatkan aksesibilitas, efektivitas, dan personalisasi pembelajaran Al-Qur'an. Proses Design Sprint dilakukan dalam lima tahap, yaitu Understand, Diverge, Decide, Prototype, dan Validate. Pada tahap Understand, wawancara dan observasi terhadap 20 pengguna di Jakarta dan Pontianak mengidentifikasi tantangan utama, seperti kesulitan tajwid dan keterbatasan akses pembelajaran interaktif. Tahap Diverge menghasilkan lebih dari 30 ide solusi kreatif, termasuk fitur gamifikasi dan evaluasi otomatis. Setelah melalui tahap Decide, prototipe interaktif dengan teknologi pengenalan suara AI DeepSpeech dirancang menggunakan framework Flutter. Pengujian pada tahap Validate menunjukkan bahwa prototipe dapat meningkatkan pengalaman pengguna hingga 70%, terutama dalam pelafalan tajwid dan keterlibatan belajar melalui fitur gamifikasi. Hasil penelitian menunjukkan bahwa penerapan metode Design Sprint efektif dalam menghasilkan solusi yang relevan, responsif, dan adaptif terhadap kebutuhan pengguna. Pendekatan ini juga membuktikan bahwa iterasi cepat dapat menghasilkan platform pembelajaran Al-Qur'an yang inovatif dengan validasi langsung dari pengguna.
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The low literacy rate of the Quran in Indonesia, with 65% of the Muslim population struggling to read and understand it, highlights the need for innovative learning solutions. This study utilized the Design Sprint methodology to develop an AI-powered Quranic learning platform leveraging DeepSpeech technology, aiming to enhance accessibility, effectiveness, and personalization in Quranic education. The Design Sprint process comprised five stages: Understand, Diverge, Decide, Prototype, and Validate. During the Understand phase, interviews and observations with 20 users in Jakarta and Pontianak identified major challenges, such as difficulties in tajweed and limited access to interactive learning. The Diverge stage generated over 30 creative solutions, including gamification and automated evaluation features. Following the Decide phase, an interactive prototype with DeepSpeech AI voice recognition was developed using the Flutter framework. Testing during the Validate phase showed that the prototype improved user experience by 70%, particularly in tajweed pronunciation and learning engagement through gamification features. The results demonstrate that the Design Sprint methodology effectively produces relevant, responsive, and user-adaptive solutions. This approach also validates that rapid iteration can lead to innovative Quranic learning platforms with immediate user feedback.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Design Sprint, DeepSpeech, Quranic Learning, Artificial Intelligence, Gamification, Educational Technology, Design Sprint, DeepSpeech, Pembelajaran Al-Qur'an, Artificial Intelligence, Gamifikasi, Teknologi Pendidikan |
| Subjects: | T Technology > T Technology (General) > T56.8 Project Management T Technology > T Technology (General) > T57.74 Linear programming T Technology > T Technology (General) > T58.6 Management information systems |
| Divisions: | Interdisciplinary School of Management and Technology (SIMT) > 78201-System And Technology Innovation |
| Depositing User: | Hajon Mahdy Mahmudin |
| Date Deposited: | 27 Jan 2025 09:03 |
| Last Modified: | 27 Jan 2025 09:03 |
| URI: | http://repository.its.ac.id/id/eprint/116968 |
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