IMPLEMENTASI NATURAL LANGUAGE PROCESSING UNTUK PEMESANAN AIR DAN GAS VIA SPEECH RECOGNITION PADA DEPO78
Abstract
Digitalisasi sistem pemesanan menjadi kebutuhan penting bagi toko penyedia air minum dan gas untuk meningkatkan efisiensi operasional dan kualitas layanan. Toko Depo78 sebagai usaha ritel air minum dan gas LPG masih menerapkan proses pemesanan manual yang berpotensi menimbulkan keterlambatan layanan serta kesalahan pencatatan pesanan. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem pemesanan air dan gas berbasis web yang terotomatisasi dengan mengintegrasikan teknologi speech recognition dan Natural Language Processing (NLP), sehingga sistem mampu memahami variasi penyebutan produk dalam bahasa sehari-hari serta mendukung pengelolaan data pemesanan secara terstruktur. Metode penelitian yang digunakan adalah Research and Development (R&D) dengan model prototyping, yang meliputi tahapan analisis kebutuhan, perancangan sistem dan basis data, pengembangan prototipe berbasis Python dan Streamlit, serta pengujian fungsional sistem. Modul speech recognition digunakan untuk mengonversi input suara pengguna menjadi teks, sedangkan NLP berperan dalam mengekstraksi intent dan memetakan variasi alias produk ke katalog Depo78. Sistem terintegrasi dengan basis data MySQL untuk mendukung pencatatan transaksi, penyimpanan histori pemesanan, dan pengelolaan antrian. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan mampu meningkatkan efisiensi proses pemesanan, mengurangi kesalahan pencatatan, serta meningkatkan kemudahan akses layanan.
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