SCEERING LEUKEMIA LIMFOBLASTIK AKUT(LLA) TERHADAP SEL LIMFOBLAS B

Saifudin, Nasrul (2025) SCEERING LEUKEMIA LIMFOBLASTIK AKUT(LLA) TERHADAP SEL LIMFOBLAS B. Undergraduate thesis, Universitas Nusantara PGRI Kediri.

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Abstract

Penelitian ini bertujuan untuk mengembangkan sistem deteksi awal Leukemia Limfoblastik B (LLA-B) menggunakan algoritma Convolutional Neural Network (CNN) berbasis model MobileNetV2. Dalam penelitian ini, tahap preprocessing seperti augmentasi yaitu mengubah rentang warna ataupun proses rotasi gambar memainkan peran krusial dalam meningkatkan kualitas citra mikroskopik sel darah sebelum masuk ke tahap pelatihan model klasifikasi. Dari pengujian menggunakan rumus MAE, akurasi, precifity, fall out dan akurasi terlihatlah bahwa kinerja dari sistem yang dikembangkan sangat baik dengan nilai akurasi mencapai 99%. Maka, sistem ini mampu mempelajari citra mikroskopik sel darah putih dan mengklasifikasikannya ke dalam empat tingkat keparahan yaitu benign, preB, proB, dan earlyPreB.

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