Article Per Year (5 Year)
p-Index From 2021 - 2026
4.974
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering TEKNIK Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan POSITRON Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer JURNAL PENGABDI BULETIN AL-RIBAATH International Journal of Community Service Learning Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Jurnal Teknik Elektro dan Komputasi (ELKOM) ASEAN Journal of Chemical Engineering Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Jurnal Amplifier: Jurnal Ilmiah Bidang Teknik Elektro dan Komputer JUSTIN (Jurnal Sistem dan Teknologi Informasi) Eksergi: Jurnal Teknik Energi Telecommunications, Computers, and Electricals Engineering Journal Journal of Electrical Engineering, Energy, and Information Technology
Putra, Leonardus Sandy Ade
Universitas Tanjungpura
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Physics Social Sciences

Published : 39 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : TEKNIK

 1 
Perbandingan Identifikasi Penggunaan American Sign Language Menggunakan Klasifikasi Multi-Class SVM, Backpropagation Neural Network, K - Nearest Neighbor dan Naive Bayes Gunawan, Vincentius Abdi; Putra, Leonardus Sandy Ade
TEKNIK Vol. 42, No. 2 (2021): August 2021
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/teknik.v42i2.36929

Abstract

Communication is essential in conveying information from one individual to another. However, not all individuals in the world can communicate verbally. According to WHO, deafness is a hearing loss that affects 466 million people globally, and 34 million are children. So it is necessary to have a non-verbal language learning method for someone who has hearing problems. The purpose of this study is to build a system that can identify non-verbal language so that it can be easily understood in real-time. A high success rate in the system needs a proper method to be applied in the system, such as machine learning supported by wavelet feature extraction and different classification methods in image processing. Machine learning was applied in the system because of its ability to recognize and compare the classification results in four different methods. The four classifications used to compare the hand gesture recognition from American Sign Language are the Multi-Class SVM classification, Backpropagation Neural Network Backpropagation, K - Nearest Neighbor (K-NN), and Naïve Bayes. The simulation test of the four classification methods that have been carried out obtained success rates of 99.3%, 98.28%, 97.7%, and 95.98%, respectively. So it can be concluded that the classification method using the Multi-Class SVM has the highest success rate in the introduction of American Sign Language, which reaches 99.3%. The whole system is designed and tested using MATLAB as supporting software and data processing.
Peningkatan Identifikasi Kanker Kulit Actinic Keratosis Menggunakan Kombinasi Sistem Ekstraksi dengan Klasifikasi Support Vector Machine Leonardus Sandy Ade Putra; Vincentius Abdi Gunawan; Agus Sehatman Saragih
TEKNIK Vol. 44, No. 2 (2023): August 2023
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/teknik.v44i2.44895

Abstract

Nowadays, humans tend to carry out activities during the day, both indoors and outdoors. Activities carried out outdoors cause human skin to often receive direct exposure to sunlight, which contains ultraviolet (UV) rays. Direct exposure to UV rays on the skin will harm the skin's health, which is the covering of the human body. Harmful effects on the skin usually include the skin becoming dark and dull, burns, and even causes cancer. One of the skin cancers that may appear on human skin is Actinic Keratosis (AK) cancer. AK cancer is a type of cancer that is classified as benign and can be cured with medical help. However, if this cancer is not caught early, it can become Squamous Cell Carcinoma (SCC), a type of malignant cancer. This research aims to design a system for identifying AK cancer types using color and texture feature extraction. RGB color feature extraction is obtained from image color segmentation and RGB values. The Gray Level Co-occurrence Matrix (GLCM) method is used to determine the texture of the skin cancer. Identification is carried out by a classification process using a Support Vector Machine (SVM), which can recognize the type of AK cancer. This research uses three classification methods: classification with color extraction, classification with texture extraction, and classification with color and texture extraction. Research shows that the highest level of accuracy in cancer recognition reaches 96% by combining color and texture extraction results as classification determinants. So, the system designed has succeeded in recognizing the type of AK cancer early on..
Co-Authors Ade Kurniawan Aditya Rizky Wildani Agus Sehatman Saragih Ahmad Saefulloh Ahmad Supriyogo Aini Sulastri Aminuyati Caecilia Bintang Girik Allo Chandra Wahyu Purnomo Eka Kusumawardhani Eli Karliani F. Trias Pontia W Fajar Ramadhani Fitri Imansyah Fitriani, Ignatia Imelda fredho, Gabriel Gunawan, Vincentius Abdi Hendro Priyatman Hilda Hilda Jannus Marpaung Jannus Marpaung Jumiati Jumiati Kristian Umbu Lakinau Kurnawan, Wawan Kusumawardhani, Eka Lalak Tarbiyatun Nasyin Maleiva Linggo Sumarno Mawaldi, Ikbal Mubaarak, Mochammad Rifqi Mulyaningsih, Try Nachwan Mufti Adriansyah Nanda Natasya, Audrey Natasya, Audrey Nanda Nazarudin, - Neilcy Tjahja Mooniarsih Nicea Roona Paranoan Ningsih, Melly Mulya Nova Argita Damayanti Nugraheni, Putranty Widha Pontia W, F. Trias Pontia, F. Trias Pratama, Aditya Cahya Prio Utomo Putranty Widha Nugraheni Redi Ratiandi Yacoub Rina Pudji Astuti Saputra, Surya Darma Hadi Seno Darmawan Panjaitan Silaban, Rico Kurniawan Suhardi . Triyani Triyani W, F. Trias Pontia Wicaksono, Romario Aldrian Widiantoro, Andreas Gunawan Yacoub, Redi Retiandi Zainal Abidin Zainal Abidin Abidin