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All Journal KORISA: Jurnal Kolaborasi Riset Sarjana
Aimar Yudhistira
Universitas Harapan Bangsa

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Penggunaan Logika Fuzzy dalam Deteksi Penyakit Kanker Lutviana; Aimar Yudhistira; Anggit Wirasto
KORISA: Jurnal Kolaborasi Riset Sarjana Vol. 1 No. 1 (2024): Jurnal Kolaborasi Riset Sarjana Volume 1 Nomor 1 Januari 2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LP2M) Universitas Harapan Bangsa

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Abstract

Cancer detection and treatment is a major challenge in global health. Fuzzy logic has proven to be effective in overcoming uncertainty and ambiguity in medical data to improve the accuracy of cancer diagnosis. This article presents a review of the application of fuzzy logic in various cancer detection and treatment studies, including its use in the analysis of medical images such as CT scans and MRIs. Studies show that fuzzy logic not only improves cancer detection accuracy but also reduces the cost and time in the diagnosis process. The results suggest that a hybrid approach combining fuzzy logic with technologies such as artificial neural networks can significantly improve the efficiency and accuracy of cancer detection
Co-Authors Lutviana Wirasto, Anggit