Jurnal Sistem Cerdas
Vol. 1 No. 2 (2018): Internet of Things for Smart Society

Detection of Skin Cancer Melanoma Using Expert System Forward Chaining Method And Image Processing Of K-nearest Neighbor (knn) Method Based on Android

Andri Dwi Saputra (Telkom University)
Budhi Irawan (Telkom University)
Ratna Astuti Nugrahaeni (Telkom University)



Article Info

Publish Date
31 Dec 2018

Abstract

Melanoma is the most dangerous and deadly type of skin cancer. Melanoma can be cured if detected early, but the form of melanoma that resembles a mole makes it difficult to distinguish. Early treatment performed by a dermatologist on melanoma through a biopsy process. However, a lack of biopsy is a long preparation and laboratory results that take a little longer. This fear will make cancer cells spread more widely. With this problem, this final project will design an Android-based mobile application that can detect melanoma early. Applications designed using expert systems are forward chaining methods and image processing methods K-Nearest Neighbor (KNN). From the results of image processing testing that has been done this application has an accuracy of 72% by using training data totaling 70 images. While the expert system with the forward chaining method is suitable to be used in this application because the decisions taken are in accordance with the knowledge representation that has been entered into the system.

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Journal Info

Abbrev

jsc

Publisher

Subject

Automotive Engineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering

Description

Jurnal Sistem Cerdas dengan eISSN : 2622-8254 adalah media publikasi hasil penelitian yang mendukung penelitian dan pengembangan kota, desa, sektor dan kesistemam lainnya. Jurnal ini diterbitkan oleh Asosiasi Prakarsa Indonesia Cerdas (APIC) dan terbit setiap empat bulan ...