Penyandang tunanetra membutuhkan alat bantu yang mampu mendeteksi rintangan secara cepat dan memberikan informasi yang mudah dipahami saat berjalan. Penelitian ini bertujuan membandingkan metode Thresholding dan Logika Fuzzy Mamdani pada sistem tongkat pintar berbasis Arduino Uno dalam menerjemahkan data jarak menjadi peringatan suara. Sistem menggunakan sensor ultrasonik HC-SR04, sensor Proximity Infrared E18-D80NK, dan sensor air untuk mendeteksi rintangan serta genangan, dengan keluaran suara melalui DFPlayer Mini dan speaker. Pengujian dilakukan melalui simulasi logika program pada beberapa variasi jarak (10, 20, 30, 35, 40, 50, dan 70 cm) dengan waktu komputasi diukur menggunakan fungsi micros(). Hasil penelitian menunjukkan metode Thresholding menghasilkan waktu respons rata-rata 234,00 mikrodetik, jauh lebih cepat dibandingkan Logika Fuzzy Mamdani yang membutuhkan 108.135,83 mikrodetik (selisih ±462 kali). Titik potong deteksi Thresholding berada pada 50 cm, sedangkan Fuzzy Mamdani pada ±37 cm. Estimasi stabilitas output pada zona batas menunjukkan Fuzzy Mamdani lebih stabil (3,67 fluktuasi/20 detik) dibandingkan Thresholding (12,00 fluktuasi/20 detik). Ditemukan pula bahwa skenario jalan sempit pada aturan Fuzzy tidak pernah tereksekusi akibat urutan evaluasi kondisi pada program. Secara keseluruhan, metode Thresholding menunjukkan performa yang lebih unggul dan andal untuk diterapkan pada sistem peringatan suara tongkat pintar tunanetra berbasis Arduino Uno.
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