Dr. Taufik Hery Purwanto Profile

Dr. Taufik Hery Purwanto

at Univ Gadjah Mada

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Publications (2)

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Proceedings Article | 29 January 2024 Paper

Spatial modelling of inundation flood using remote sensing and geographic information system in Bogowonto Watershed, Purwodadi and Bagelen, Central Java

Amelia Rizki Gita Paramanandi, Sudaryatno ., Noorhadi Rahardjo, Taufik Hery Purwanto

Proceedings Volume 12977, 129771M (2024) https://doi.org/10.1117/12.3009650

KEYWORDS: Floods, Modeling, Remote sensing, Geographic information systems, Visualization, Java

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Purwodadi and Bagelen sub-districts are areas that are frequently inundated by floods from the overflow of the Bogowonto River. These inundations can disrupt community activities and has an impact on material, social and economic damage. Therefore, it is necessary to have an effective and efficient flood potential in the Bogowonto watershed. The purpose of this study is to extract data of land use and river geometry using remote sensing data and geographic information systems for estimating flood discharges and constructing flood inundation spatial models using HEC-RAS and ArcGIS software in return periods 1, 2, 5, 10, 20, 50, and 100 years. Modeling is doing with integrating HEC-RAS and ArcGIS software. This study generally carried out hydrological and hydraulic modeling in the Bogowonto watershed. Hydrological modeling was carried out to convert rainfall data into flood discharge using the Nakayasu Synthetic Unit Hydrograph. The data used is the maximum daily rainfall for 2010-2022 from 10 rain stations in the Bogowonto watershed. Hydraulic modeling was carried out to simulate flood inundation using the HEC-RAS software with 2D unsteady flow simulation. The data required in this study are river geometry, design flood discharge, and Manning’s values. River geometry data and Manning’s values were obtained from digitizing remote sensing data in the form of DEMNAS and Sentinel-2A. The results of the modeling were analyzed and visualized using ArcGIS. This study shows that remote sensing data and geographic information systems can extract land use and river geometry data, which can then be used in flood modeling.

Proceedings Article | 22 December 2021 Paper

Geotemporal analysis and topic modelling of Twitter data: study in nine big city areas of Indonesia

Totok Wahyu Wibowo, Sigit Heru Murti Budi Santosa, Bowo Susilo, Taufik Hery Purwanto

Proceedings Volume 12082, 1208216 (2021) https://doi.org/10.1117/12.2619356

KEYWORDS: Modeling, Data modeling, Visualization, Web 2.0 technologies, Statistical analysis, Java, Geography, Analytical research, Data conversion, Internet

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Nowadays, Twitter data is significant to many studies since there is a shift in the data collection paradigm. As one of the contemporary social media with many active users, Twitter provides geotagging facilities to create a geotagged Tweet. Various spatial based studies use geotagged Tweet data. This paper aims to review the geo-temporal characteristics of geotagged Twitter data in nine major cities in Indonesia, namely five cities in the Greater Area of Jakarta, Surabaya, Bandung, Medan, and Makassar. Twitter data was collected by the streaming method for two years (January 2019- December 2020). The temporal analysis was carried out by graphing the number of Tweets with 30-minute intervals. Weekly Twitter activities were also visualized to get a specific understanding of when the optimum time to post a Tweet was. Density analysis was employed to Twitter data to find out the spatial patterns in the study area. Kernel Density Estimation (KDE) was used to determine the Tweets Density in the day and night. This study also used a simple framework of text analysis of topic modelling using Latent Semantic Indexing (LSI) to use the Twitter data better. Overall, Central Jakarta and South Jakarta have a significant number of Tweets compared to other cities. The study results show that, in general, big cities in Indonesia have almost the same temporal curve and the peak time for making geotagged tweets occurs from 4 pm to 8 pm. Our finding also points out that a high number of the population in a city does not always produce a high number of Tweets. The results of topic modelling in the Greater Area of Jakarta show that the themes of traffic jams/congestion, entertainment, and culinary tourism are widely mentioned by Twitter users, thus opening opportunities for research on these subjects.

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