Article Per Year (5 Year)
p-Index From 2019 - 2024
2.293
P-Index
This Author published in this journals
All Journal Bulletin of Electrical Engineering and Informatics JURNAL NASIONAL TEKNIK ELEKTRO Jurnal Sistem Cerdas TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika eProceedings of Engineering Journal of Computer Engineering: Progress, Application and Technology
Ratna Astuti Nugrahaeni
Telkom University
Automotive Engineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

Published : 20 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal Sistem Cerdas

 1 
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; Budhi Irawan; Ratna Astuti Nugrahaeni
Jurnal Sistem Cerdas Vol. 1 No. 2 (2018): Internet of Things for Smart Society
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1000.288 KB) | DOI: 10.37396/jsc.v1i2.11

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.
Co-Authors 2Muhammad Nasrun Andi Nurfita F Andrew Brian Osmond Andri Dwi Saputra ANGGUNMEKA LUHUR PRASASTI Astrid Melati Azhar Eka Mulia Wiguna Bagus Tryanto Budhi Irawan Burhanuddin Dirgantoro Fawwaz Aboeruslan Muyadi Ghiffari Arwandani Hanif Afianto Dwi Nugroho Hanif Kukuh Raharjo Ilham Gumantung Gusti Jabal Rachmah Maulana Akbar Dwijaya Miftah Meinaldi Nurrochman Muhammad Ken Muhammad Nasrun Muhammad Pascal Aryan Nofrialdi Dwi Putra Nurya Fahru Rosyidin Purba Daru Kusuma R. Rumani M. R. Rumani M. Raka Putra Gustian Rudi Purwo Wijayanto Stephen Lie Juliando Soetopo Surya Michrandi Nasution Tito Waluyo Purboyo Umar Ali Ahmad