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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Applied Research and Sustainable Sciences (IJARSS)
Yusuf, Rahadian
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Religion Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering

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Effect of dataset distribution on automatic road extraction in very high-resolution orthophoto using DeepLab V3+ Sussi, Sussi; Husni, Emir; Siburian, Arthur; Yusuf, Rahadian; Budi Harto, Agung; Suwardhi, Deni
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i2.pp1650-1657

Abstract

Road extraction is one of the stages in the map-making process, which has been done manually, takes a long time, and costs a lot. Deep Learning is used to speed up the road extraction process by performing binary semantic segmentation on the image. We propose DeepLab V3+ to produce road extraction from very high-resolution orthophoto for Indonesia study area, which poses many challenges, such as road obstruction by trees, clouds, building shadows, dense traffic, and similarities to rivers and rice fields. We compared the distribution of datasets to obtain the optimal performance of the DeepLab V3+ model in relation to the dataset. The results showed that dataset ratio of 75:10:15 resulted in mean Intersection Over Union (mIoU) of 0.92 and Dice Loss of 0.042. Visually, the results of road extraction are more accurate when compared to the results obtained from different distributions of the dataset.
Conceptual Model of Architecture of 4-Layer Smart System for Emergency Response system of Negative Interaction of Human to Elephant sukoco, Agus; Prihatmanto, Ary Setijadi; Yusuf, Rahadian; Arief, Harnios; Putro, Haryanto R
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 12 (2024): December 2024
Publisher : MultiTech Publisher

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

Abstract

The interaction between elephants and humans in the era of smart systems requires a new approach to managing frequent conflicts. In this context, the development of an emergency response system based on smart system technology is very important, both for local communities and national park managers. This system is expected to utilize technology to improve the effectiveness of handling elephant emergencies. This study emphasizes the need to develop an emergency response system based on smart systems to improve the effectiveness of managing elephant-human interactions. Sustainable and participatory system development will be key to creating better solutions to these conflicts in the future.
Co-Authors Agung Budi Harto, Agung Agus Sukoco Ary Setijadi Prihatmanto Deni Suwardhi Emir Husni, Emir Harnios Arief Putro, Haryanto R Siburian, Arthur Sussi