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PREDICTION OF PRIORITIZATION SUB-WATERSHED ON THE SERAYU BOGOWONTO RIVER BASIN USING DEEP LEARNING
S.B. Lesmana (a*) , E. Suhartanto (b), A. Suharyanto (b) and V. Dermawan(b)

a) Doctoral Programme Brawijaya University
*surya_lesmana[at]umy.ac.id
b) Brawijaya University


Abstract

Characteristics of the river basin formed by natural factors and non-natural factors that makes up an ecosystem. One of the characters that create the river basin of the physical element is morphometry that has three parameters such as linear aspect, relief aspect, and areal aspect. One method for explaining watershed priorities is by analysing the morphometric characteristics of the watershed based on various parameter values that are available from the calculation results. The results of calculating these parameters are then used as input data to make watershed priority predictions using deep learning. This study aims to analyze characteristics of the sub-watershed of Serayu Bogowonto river basin based on morphometry parameters using GIS and analysis for the watershed priority prediction using Deep Learning Method . The data utilized in this study is the river network data published by Bakosurtanal, and Digital Elevation Model (DEM) 30x30 ASTER GDEM then data analysis is using Geographic Information System (GIS) technique with ARC GIS 10.1. The prioritization based on morphometry analysis that is seven sub-watershed with high priority, four sub-watershed with medium priority, six sub-watershed with low priority. From the test results by measuring method using a deep learning based, it is known that deep learning algorithms yield accuracy values 80.00%, and class precision 74 %. The model is quite capable of producing satisfactory results and showed a good agreement between the predicted and observed data

Keywords: morphometry, deep learning, watershed, and river basin

Topic: International Symposium of Civil, Environmental, and Infrastructure Engineering

Link: https://ifory.id/abstract/pDXxEbWR4tNr

Conference: The 3rd International Conference on Sustainability and Innovation (ICoSI 2019)

Plain Format | Corresponding Author (Surya Budi Lesmana)

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