Article Per Year (5 Year)
p-Index From 2019 - 2024
3.171
P-Index
This Author published in this journals
All Journal Jurnal TIMES METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Mantik Methosika: Jurnal Akuntansi dan Keuangan Methodist Journal of Information Systems and Technology Research Jurnal Pengabdian Pada Masyarakat METHABDI TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Purba, Eviyanti Novita
Universitas Methodist Indonesia
Religion Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Immunology & microbiology Languange, Linguistic, Communication & Media Medicine & Pharmacology Physics Public Health Social Sciences

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

Found 1 Documents
Search
Journal : Jurnal Mantik

 1 
Bipolar Approach in Recognition of Gorga Batak Patterns with the Hebbian Method Frinto Tambunan; Eviyanti Novita Purba; Nurhayati; Juliana Naftali Sitompul
Jurnal Mantik Vol. 5 No. 4 (2022): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The recognition of shapes or patterns in Intelligent Artificial is a method that is developing very rapidly and is continuously being developed to this day. The need for information contained in a pattern or form is very useful to be developed and applied properly to the health or culture sector, by using a system that is embedded with a capability or feature in pattern recognition. This model can be applied both to face pattern recognition, patterns. Likewise in this discussion about the pattern recognition of the Gorga Batak using artificial neural networks, namely the Hebbian method. With two patterns as knowledge or learning base and then tested. The input pattern will be checked for the similarity of the two learning base patterns, whether it is recognized as the Gorga “Simeol – eol” pattern or as the Gorga “Sitompi” pattern. By using 25 input variables and bias 1 with an initial weight value of 0, the Gorga “Someol-eol” and “Sitompi” patterns were initialized to a grayscale image and then extracted to a bipolar image with values of 1 and -1. The Gorga “Simeol – eol” pattern has a target of 1 and the Gorga “Sitompi” pattern has a target of -1, the function f (net) is 1 if Y > = 0 and -1 if Y < 0. From the process carried out, it is found that the Gorga “Simeol – eol” pattern is obtained the value of Y = 12 and for the Gorga “Sitompi” pattern Y = -12, and inputted to the function f (net), the result is the same as the target 1 for the Gorga “Simeol –eol” pattern and -1 for the Gorga “Sitompi” pattern.
Co-Authors Albert Rinaldy Sibarani Aldi Asnerlius Ginting Anggi Natasya Br. Batubara APRIANI M. SIBARANI Arina P. Silalahi Calvin Nicolas Panjaitan Delianus Zalukhu Dimita H.P. Purba Emma Rosinta Simarmata Erna Sari Agustina Eva Julia G. Harianja Eva Julia Gunawati Harianja Flora Marpaung Frinto Tambunan Gortap Lumbantoruan Hegi Audria Sitorus Imelda S. Dumayanti Jamaluddin Jepryanta Natanael Brahmana Jonathan H. Saragih Jujur Marentha Nababan Lidia Marisa Sianturi Lyna M. N. Hutapea Marlyna Infryanti Hutapea Moris Raichel Sitanggang Mufria J. Purba Naikson Fandier Saragih Nainggolan, Rena Ndruru, Eferoni Nurhayati Posma S. M. Lumbanraja Rena Nainggolan Resianta Perangin-Angin Rijois I. E. Saragih Rimbun Siringoringo, Rimbun Selly Yulita Hutabarat Stevani L. Z. Simanjuntak Stevani Laura Zois Br. Simanjuntak Thomson J. Napitupulu Yohana Natalia Siboro