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All Journal J-Sil (Jurnal Teknik Sipil dan Lingkungan)
Rudi Yanto
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Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Engineering Transportation

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ARTIFICIAL NEURAL NETWORK APPLICATION FOR THE ESTIMATION OF ANNUAL RAINFALL DATA UNRECORDED IN CISADANE WATERSHED Elhamida Rezkia Amien; Roh Santoso Budi Waspodo; Budi Indra Setiawan; Rudi Yanto
Jurnal Teknik Sipil dan Lingkungan Vol. 1 No. 1: April 2016
Publisher : Departemen Teknik Sipil dan Lingkungan, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (407.46 KB) | DOI: 10.29244/jsil.1.1.33-41

Abstract

Naturally in a watershed rainfall distributes spatially. To know rainfall in the watershed needs information from many installed rain gauges. However, rainfall data is found not completely recorded. It is then important to estimate missing or unrecorded  rainfall data. This study aims to estimate annual rainfall data in stations by using ANN (Artificial Neural Network). This study was conducted in Cisadane watershed. This study perfomed using rainfall data for 14  periods, the location of rainfall post (coordinates and elevation), DEM map, and watershed map. Data processing and analyzing performed using Ms. Excel 2010, ArcGIS 10.0, and BackPropogation Neural Network 1.0 program. Data used as input in ANN to estimates unrecorded rainfall data were coordinates (X,Y) and elevation (Z) of each rainfall post. ANN can be used to predict the amount of rainfall in cisadane watershed marked with a value of determination (R2) 0,97. After all data complete, average of rainfall in Cisadane watershed can be calculate using arithmetic, thiessen polygon, and isohyet. The amount of rainfall watershed in Cisadane using the arithmetic mean produce rainfall of 2.609 mm, with Thiessen Polygon of 2.539 mm, and with Isohyets of 2.594 mm. Keywords: ANN, annual rainfall, Cisadane watershed, estimation of rainfall 
Salinization Process on Sand Membrane as a Simulation of Sea Water Intrution and Tidal Flood Effect Akfia Rizka Kumala; Budi Indra Setiawan; Satyanto K Saptomo; Rudi Yanto
Jurnal Teknik Sipil dan Lingkungan Vol. 1 No. 1: April 2016
Publisher : Departemen Teknik Sipil dan Lingkungan, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (510.567 KB) | DOI: 10.29244/jsil.1.1.11-19

Abstract

 Salinization process through a membrane of sand is  presented in this paper. Two treatments were performed here. Treatment 1, saline water flowed continuously from below the membrane with a stable unsaturated water content depicted as a simulation of sea water intrusion. Treatment 2, the membrane was inundated with saline water depicted as a simulation of flooding. Two kinds of membrane used which were black and white sand. Black sand had saturated water content (θs) 0.35 cm3/cm3, and the white sand 0.52 cm3/cm3. The highest to the lowest evaporation rate were flooded black sand, unflooded black sand, flooded white sand, and unflooded white sand membranes. Flooded and unflooded black sand membrane had higher temperature than flooded and unflooded white sand membrane. Most salt crystals were produced by the not flooded membrane amounted to 14.7 gram and 15 gram.Keywords : salinization, sand membrane, saline water, evaporation
Co-Authors Akfia Rizka Kumala Budi Indra Setiawan Elhamida Rezkia Amien Roh Santoso Budi Waspodo Satyanto Krido Saptomo