Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal REKAYASA International Journal of Artificial Intelligence and Robotics (IJAIR)
Dwito Armono, Haryo
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Physics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
The Analysis of Underwater Imagery System for Armor Unit Monitoring Application Sari, Dewi Mutiara; Marta, Bayu Sandi; Amin A, Muhammad; Dwito Armono, Haryo
International Journal of Artificial Intelligence & Robotics (IJAIR) Vol. 5 No. 1 (2023): May 2023
Publisher : Informatics Department-Universitas Dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (527.168 KB) | DOI: 10.25139/ijair.v5i1.5918

Abstract

The placement of armor units for breakwaters in Indonesia is still done manually, which depends on divers in each placement of the armor unit. The use of divers is less effective due to limited communication between divers and excavator operators, making divers in the water take a long time. This makes the diver's job risky and expensive. This research presents a vision system to reduce the diver's role in adjusting the position of each armor unit. This vision system is built with two cameras connected to a mini-computer. This system has an image improvement process by comparing three methods. The results obtained are an average frame per second is 20.71 without applying the method, 0.45 fps for using the multi-scale retinex with color restoration method, 16.75 fps for applying the Contrast Limited Adaptive Histogram Equalization method, 16.17 fps for applying the Histogram Equalization method. The image quality evaluation uses the underwater color quality evaluation with 48 data points. The method that has experienced the most improvement in image quality is multi-scale retinex with color restoration. Forty data have improved image quality with an average of 14,131, or 83.33%. The number of images that experienced the highest image quality improvement was using the multi-scale retinex with color restoration method. Meanwhile, for image quality analysis based on Underwater Image Quality Measures, out of a total of 48 images, the method with the highest value for image quality is the contrast limited adaptive histogram equalization method. 100% of images have the highest image matrix value with an average value is 33.014.
Analisis Kecenderungan Musiman Tinggi Gelombang Signifikan di Laut Indonesia Tahun 1980-2020 Untuk Mendukung Pembangunan Pesisir Berkelanjutan Fahmi, Muhammad Baharudin; Wirayuhanto, Harish; Dwito Armono, Haryo; Zikra, Muhammad; Lorentius, Suratno
Rekayasa Vol 18, No 2: Agustus, 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v18i2.29978

Abstract

Sea level rise, as one of the consequences of global climate change, has significantly impacted oceanographic dynamics, particularly wave characteristics. One of the most critical affected parameters is significant wave height, which directly influences maritime safety, the sustainability of fisheries, the stability of coastal infrastructure, and the risk of coastal erosion and tidal flooding. As an archipelagic nation with the second-longest coastline in the world, Indonesia is highly vulnerable to such changes. Therefore, understanding the spatial and temporal trends in significant wave height is essential to support effective adaptation and mitigation policies in coastal regions. This study aims to analyze the trend of increasing significant wave height in Indonesian waters using ERA5 reanalysis data from the European Centre for Medium-Range Weather Forecasts (ECMWF) over the period from 1980 to 2020. The trend analysis was conducted using non-parametric statistical methods, namely the Mann-Kendall test to detect statistically significant trends and Sen’s Slope Estimator to quantify the rate of change. A significance level of 0.05 was applied in the analysis. The results indicate a significant upward trend in significant wave height across several Indonesian maritime regions. Conversely, the northern waters of Central Java and the northern region of Masalembu Island exhibited no statistically significant trend across seasons. The Banda Sea and southern Papua experienced significant increases during the dry season (JJA) and the second transitional season (SON), with a peak rate of 1.70 cm/year. In the southern waters of Lombok Island, positive trends were observed in the wet season (DJF) and the first transitional season (MAM), with rates reaching 1.46 cm/year. The highest trend was recorded in the southern waters of Java during the wet season (DJF), at 1.72 cm/year. These findings suggest that most Indonesian waters are experiencing significant changes in wave characteristics as a result of climate change, highlighting the urgency for long-term oceanographic monitoring and the integration of wave data into coastal development and climate adaptation strategies.
Co-Authors Amin A, Muhammad Fahmi, Muhammad Baharudin Lorentius, Suratno Marta, Bayu Sandi Muhammad Zikra Sari, Dewi Mutiara Wirayuhanto, Harish