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Infotronik : Jurnal Teknologi Informasi dan Elektronika
Published by Universitas Sangga Buana
ISSN : 25481932     EISSN : 25497758     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
Jurnal Infotronik dengan Nomor ISSN: 2549-7748 (online); 2548-1942 (print) adalah jurnal berkala ilmiah yang diterbitkan secara bersama-sama oleh Fakultas Teknik dua kali setahun (Juni-Desember). Jurnal ini bertujuan mempublikasikan hasil penelitian orisinal dan mengembangkan konsep, teori, perspektif, paradigma, dan metodologi dalam kajian fenomena Ilmu Komputer dan Elektronik. Ruang lingkup Jurnal Infotronik secara khusus adalah penelitian meliputi kajian Ilmu Komputer dan Elektronika.
Arjuna Subject : -
Articles 102 Documents
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KLASIFIKASI JENIS BATIK MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBORS (KNN) Benita Suciani, Azarin; Gunawansyah, Gunawansyah; Maulana Adhinugraha, Kiki
Infotronik : Jurnal Teknologi Informasi dan Elektronika Vol 9 No 2 (2024): Vol 9 No 2 Tahun 2024
Publisher : Universitas Sangga Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32897/infotronik.2024.9.2.3846

Abstract

Batik is a world heritage that has been recognized by UNESCO, has high philosophical and artistic value and economic value. However, with so many types of batik in Indonesia, many people still have difficulty knowing and distinguishing between these types of batik, which can threaten its sustainability. Lack of public knowledge about the types of batik can lead to reduced appreciation and loss of cultural identity. Therefore, appropriate treatment is needed to overcome this problem. This research aims to build a classification system for types of batik using the K-Nearest Neighbors (KNN) algorithm to help the public recognize and differentiate types of batik, especially Batik Lasem, Batik Sekar Jagad, Batik Tambal, and Batik Truntum. It is hoped that this system can increase public awareness and knowledge about the richness of batik culture and help in preserving Indonesia's cultural heritage. The system testing results show differences in accuracy in each experiment with a dataset of 200 images, consisting of 50 images per type of batik. The highest accuracy was obtained from the third experiment, namely 85%, while the second experiment resulted in an accuracy of 72.5%, and the first experiment obtained an accuracy of 65%
ANALISIS RANGKAIAN LISTRIK DENGAN SISTEM PERSAMAAN LINEAR MENGGUNAKAN DEKOMPOSISI LU Rahman, Abdul; Juliani, Fitria
Infotronik : Jurnal Teknologi Informasi dan Elektronika Vol 9 No 2 (2024): Vol 9 No 2 Tahun 2024
Publisher : Universitas Sangga Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32897/infotronik.2024.9.2.3877

Abstract

The system of linear equations is a topic found in the field of mathematics, which is a branch of algebra. This topic can be implemented in various fields, one of which is in the electrical domain, specifically in electrical circuits. The system of linear equations in electrical circuits is used to analyze the relationships between current and voltage in complex circuits. By applying Kirchhoff's laws, we can formulate equations that represent each element in the circuit. The resulting system of linear equations is then solved using the LU decomposition method. LU decomposition is a technique used to solve systems of linear equations by breaking down the matrix into two components: a lower triangular matrix (L) and an upper triangular matrix (U). The method used to decompose the matrix is the Doolittle method. This article employs matlab as a tool to assist in solving the system of linear equations. Through matlab, this process is automated, enabling quick and accurate analysis of various circuit configurations, such as the obtained results in the discussion  and  which represent the current values flowing through each component.

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