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All Journal International Journal of Artificial Intelligence Research Journal of Social Responsibility Projects by Higher Education Forum
Harwikarya Harwikarya
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Social Sciences

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A Novel Method for L Band SAR Image Segmentation Based on Pulse Coupled Neural Network Harwikarya, Harwikarya; Rudiarto, Sabar; Sebastian, Glorin
International Journal of Artificial Intelligence Research Vol 4, No 2 (2020): December 2020
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (998.932 KB) | DOI: 10.29099/ijair.v4i2.162

Abstract

Pulse Coupled Neural Network (PCNN) is claimed as a third generation neural network. PCNN has wide purpose in image processing  such as segmentation, feature extraction, sharpening etc.  Not like another neural network architecture, PCNN do not need training. The only weaknes point  of PCNN is parameter tune due to  seven parameters in its five equations. In this research we proposed a novel method for segmentation based on modified PCNN.  In order to evaluate the proposed method, we processed L Band Multipolarisation  Synthetic Apperture Radar Image. The Results showed all area extracted both by using PCNN and ICM-PCNN from the SAR image are match to the groundtruth. There fore the proposed method is work properly.Copyright © 2017  International Journal of  Artificial Intelegence Research.All rights reserved.
Pemanfaatan Visualisasi Data Untuk UMKM TKI di PERMAI Malaysia Priambodo, Bagus; Harwikarya, Harwikarya; Jumaryadi, Yuwan
Journal of Social Responsibility Projects by Higher Education Forum Vol 5 No 2 (2024): November 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jrespro.v5i2.5453

Abstract

In the contemporary landscape of small businesses, the effective interpretation of data has emerged as a crucial driver for informed decision-making and sustainable growth. The main task of our activity is to explain with delves the benefits of data visualization for small businesses, exploring the transformative potential it holds for enterprises operating on a smaller scale. The essence of data visualization lies in its ability to convert complex data sets into accessible and comprehensible visual representations. Small businesses, often faced with resource constraints, can leverage these visualizations to extract meaningful insights, identify trends, and make strategic decisions that align with their objectives. This exploration encompasses the significance of data visualization tools and techniques tailored for small business contexts. As small businesses navigate the intricacies of their operational environment, this program community services underscores the practical applications of data visualization. It sheds light on how visual representations of financial data, market trends, and customer behaviors can empower small business owners to make timely and well-informed decisions. The aim of this community service activity is to explain data visualization to SMEs who work as migrant workers (TKI) on Penang Island, Malaysia.
Co-Authors Bagus Priambodo Jumaryadi, Yuwan Rudiarto, Sabar Sebastian, Glorin