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All Journal Perfecting a Video Game with Game Metrics Jurnal Mantik Penusa
Julius Santony
Universitas Putra Indonesia YPTK
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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An artificial neural network approach for detecting skin cancer Sugiarti Sugiarti; Yuhandri Yuhandri; Jufriadif Na'am; Dolly Indra; Julius Santony
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 2: April 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i2.9547

Abstract

This study aims to present diagnose of melanoma skin cancer at an early stage. It applies feature extraction method of the first order for feature extraction based on texture in order to get high degree of accuracy with method of classification using artificial neural network (ANN). The method used is training and testing phases with classification of Multilayer Perceptron (MLP) neural network. The results showed that the accuracy of test image with 4 sets of training for image not suspected of melanoma and melanoma with the lowest accuracy of 80% and the highest accuracy of 88.88%, respectively. The 4 sets of training used consisted of 23 images. Of the 23 images used as a training consisted of 6 as not suspected of melanoma images and 17 as suspected melanoma images.
Indikator Pemilihan Jurusan Pada SMK Nusantara menggunakan Metode SAW Ulfatun Hasanah; Gunadi Widi Nurcahyo; Julius Santony
Jurnal Mantik Penusa Vol. 22 No. 1 (2018): Special Issue
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (153.396 KB)

Abstract

SMK Nusantara is one of the schools located in Bangko Sempurna District. This school annually conducts a selection of majors for its new students. The course is intended for students to complete the school according to their interests and abilities before continuing to the next level. The establishment of new student selection decision support system at SMK Nusantara using Simple Additive Weighting (SAW) method. Based on the information obtained from new admissions team, the number of departments that exist in SMK Nusantara consists of three departments, namely accounting, motorcycle engineering, and computer and networking techniques. The majors are based on the student's choice when enrolling by listing interest for majors 1 and department 2 otherwise the majors are determined by the value required in each department. By using simple additive weighting method is expected to help facilitate the acceptance of new students in determining the majors for each student. This decision support system is web-based so that it can be accessed anywhere by prospective students to register online, after that can be processed to determine the majors of each student. The results obtained in this settlement make it easier for new students to determine and access the majors to be chosen by their interests and talents. Research using this method get 100% result from 3 departments. 30% accounting for engineering, computer and network engineering 40%, and motorcycle technique 30%.
Co-Authors Dolly Indra Gunadi Widi Nurcahyo Jufriadif Na`am, Jufriadif Sugiarti Sugiarti Ulfatun Hasanah Yuhandri Yuhandri, Yuhandri