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Mar 4, 2025
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Abstrak

Retinopathic Diabetic (RD) merupakan salah satu gangguan retina yang disebabkan oleh tingginya kadar gula dalam darah. Jumlah dokter mata yang tersedia lebih sedikit, dan mengobati pasien RD secara manual merupakan proses yang memakan waktu. Oleh karena itu, diperlukan metode deteksi dini RD secara otomatis menggunakan Deep Learning. Tujuan penelitian ini membangun prototipe deteksi dini RD berbasis web dengan klasifikasi gambar retina mata menggunakan model Deep Learning DenseNet121 dan optimizer Stochastic Gradient Descent (SGD) untuk meningkatkan aksesibilitas dan efisiensi skrining. Metode pengembangan perangkat lunak yang digunakan dalam penelitian ini adalah waterfall yang terdiri dari fase analisis, fase desain, fase implementasi, dan fase pengujian. Untuk memastikan prototipe berjalan sesuai dengan yang direncanakan, dilakukan pengujian black-box pada setiap fiturnya untuk memastikan fungsionalitas sistem sesuai dengan spesifikasi yang telah ditentukan. Penelitian ini menghasilkan prototipe deteksi dini RD yang telah teruji dengan semua kasus uji berjumlah 16 dan memiliki status sesuai. Penelitian selanjutnya dapat dilakukan pengembangan sistem lebih lanjut dengan melibatkan pengguna yang sesungguhnya seperti Dokter Mata dan bisa diterapkan di Rumah Sakit.

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Prototipe Retinopati Diabetik Sistem Waterfall Web

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Artikel ini berlisensi Creative Commons Attribution-NoDerivatives 4.0 International License.

Cara Mengutip
[1]
D. Muhajir, T. Mustaqim, P. H. Safitri, dan V. R. Oktavia, “Rancang Bangun Prototipe Sistem Deteksi Dini Retinopathic Diabetic Berbasis Website”, Jurnal Algoritma, vol. 22, no. 1, hlm. 234–244, Mei 2025.
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