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All Journal International Journal of Electrical and Computer Engineering Civilla : Jurnal Teknik Sipil Universitas Islam Lamongan
Satria Damarnegara
Institut Teknologi Sepuluh Nopember
Computer Science & IT Electrical & Electronics Engineering

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Sensor and internet of things based integrated inundation mitigation for smart city Berlian Al Kindhi; Umboro Lasminto; Masca Indra Triana; Satria Damarnegara; Sreenatha G. Anavatti
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 3: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i3.pp2695-2703

Abstract

Flooding is a natural phenomenon that often occurs in tropical countries. Drainage design is one of the efforts to prevent floods, however, when the rainfall is high, there are still several inundation points that occur. This requires comprehensive handling to reduce the impact of these inundations, to get an adaptive solution, the use of internet of things based (IoT) tools is one of the alternatives proposed. This study proposes an IoT-based flood inundation monitoring system, which includes a water level reader, a web-based inundation monitoring system, a flood inundation area and depth reporting system as evaluation materials for the government city. The sensor module that we propose is a series of sensors in a hollow cylinder design to reduce water ripples. The server application is displayed in the form of an interactive area mapping which is divided into 4 layers for 4 different analyzes so that central officers can quickly coordinate with field officers to carry out mitigation actions in the affected area. The module requires a low cost and easy installation process compared to a liquid sensor, besides that the display in the form of a web makes it easier for officers to access monitoring applications anywhere compared to geographic information system based (GIS) applications. This research has been carried out and tested in one of the major cities in Indonesia.
Channel Capacity Evaluation Model Using Storm Water Management Model Yang Ratri Savitri; Satria Damarnegara; Mahendra Andiek Maulana; Umboro Lasminto; Novi Andriany Teguh; Nastasia Festy Margini
Civilla : Jurnal Teknik Sipil Universitas Islam Lamongan Vol 9 No 2 (2024): SEPTEMBER
Publisher : Program Studi Teknik Sipil, Fakultas Teknik, Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/cvl.v9i2.1315

Abstract

Floods commonly occur in big cities with huge population densities. The increasing population number can cause a decrease in open land and green open space areas. It increases the surface runoff and induces inundation due to inadequate channel capacity. Therefore, a better design is required to minimize the inundation depth and area. This research aims to evaluate the drainage capacity of the channel dimension based on the flood discharge obtained from the rational method. The cross-section capacity was evaluated using the Storm Water Management Model by considering two types of rainfall distribution. The simulation result shows that the rainfall distribution influences the channel capacity. The flood discharge based on the Sri Harto distribution has a lower peak discharge than the Tadashi Tanimoto distribution. The result shows the significant effect of rainfall distribution types on the water depth. Therefore, it is necessary to determine the rainfall distribution method that represents the watershed characteristics used to design the drainage system. 
Co-Authors Berlian Al Kindhi Maulana, Mahendra Andiek Nastasia Festy Marginia Novi Andriany Teguh Sreenatha G. Anavatti Umboro Lasminto Yang Ratri Savitri