Pengujian Fungsional dan Waktu Respon Inferensi Model Sistem Pelaporan Kerusakan Jalan Berbasis Android
DOI:
https://doi.org/10.29407/yqz9kw15Abstract
Kerusakan jalan merupakan permasalahan infrastruktur yang memerlukan penanganan cepat dan akurat. Penelitian ini menguji sistem pelaporan kerusakan jalan berbasis Android yang mengintegrasikan model YOLOv12 dan ResNet-50 melalui Django REST API. Pengujian dilakukan dalam dua tahap. Pertama, pengujian fungsional menggunakan metode Black Box Testing terhadap 26 skenario yang mencakup komponen register, lapor kerusakan, ambil lokasi GPS, daftar laporan, detail laporan, dan pemetaan, seluruhnya menunjukkan keberhasilan dengan tingkat keberhasilan 100%. Kedua, pengujian waktu respon inferensi terhadap 10 sampel gambar menghasilkan rata-rata unggah gambar 123,62 ms, inferensi ResNet-50 1.892,38 ms, inferensi YOLOv12 859,73 ms, dan total waktu respon 3.150,66 ms. Inferensi ResNet-50 menjadi kontributor terbesar dengan porsi sekitar 60% dari total waktu respon, mengindikasikan bahwa bottleneck utama sistem terletak pada komputasi model klasifikasi, bukan pada transmisi jaringan.
Keywords:
Android, Black Box Testing, Kerusakan Jalan, ResNet-50, YOLOv12##plugins.themes.default.displayStats.downloads##
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