Dr. Bowo Susilo Profile

Dr. Bowo Susilo

at Faculty of Geography, Univ. Gadjah Mada

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Publications (6)

Proceedings Article | 29 January 2024 Paper

A review from a geospatial perspective on how COVID-19 is affecting tourist activity in Yogyakarta city

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

Proceedings Volume 12977, 1297706 (2024) https://doi.org/10.1117/12.3009333

KEYWORDS: COVID 19, Web 2.0 technologies, Tunable filters, Photography, Industry, Eye, Data analysis, Organization management, Geography, Statistical analysis

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Proceedings Article | 29 January 2024 Paper

Learning the past landscape of Yogyakarta city from historical maps

Ari Cahyono, Bowo Susilo, Niken Wirasanti, Noorhadi Rahardjo

Proceedings Volume 12977, 129770C (2024) https://doi.org/10.1117/12.3009197

KEYWORDS: Cultural heritage, Geography, Georeferencing, Analytical research, Geographic information systems, Cartography, Army

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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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Proceedings Article | 22 December 2021 Paper

Mapping the sensitivity of agricultural land: a study of agricultural land conversion In Yogyakarta urban area

Bowo Susilo

Proceedings Volume 12082, 120820C (2021) https://doi.org/10.1117/12.2621806

KEYWORDS: Agriculture, Statistical analysis, Mathematical modeling, Binary data, Spatial analysis, Geography, Visualization

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Proceedings Article | 21 November 2019 Open Access

MaxEnt (Maximum Entropy) model for predicting prehistoric cave sites in Karst area of Gunung Sewu, Gunung Kidul, Yogyakarta

Luthfi Alwi Muttaqin, Sigit Heru Murti, Bowo Susilo

Proceedings Volume 11311, 113110B (2019) https://doi.org/10.1117/12.2543522

KEYWORDS: Data modeling, Geographic information systems, Analytical research, Remote sensing, Image resolution, Data analysis, Visualization, Performance modeling, Geography, Java

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The Gunungsewu area is one of karstic regions in the southern part of the island of Java whose a variety of archaeological remains. Archaeological data were scattered around the Gunungsewu region starting from remains of humans fossil and animals, bone artifacts, clamshell artifacts, Pacitanian cultural stone artifacts, and prehistoric caves that show evidence of occupation caves as well as sustain of prehistoric human communities. This research used the model MaxEnt as a method for estimating prehistoric occupation cave sites in the karst area of Gunung Sewu, Gunung Kidul. The objectives of this research were: (1) assessed the ability of DEM Alos Palsar, Sentinel-2a images and GIS data to extract environmental parameters related to prehistoric occupation cave sites. (2) prepared a spatial model for estimating prehistoric occupation cave sites using DEM Alos Palsar image, Sentinel-2a imagery and GIS data for input model MaxEnt (maximum entropy). (3) test accuracy of model MaxEnt to estimated the location of prehistoric occupation caves. This research used 68 location cave as attendance data input in the model MaxEnt. Environmental variables extracted from the 12.5-meter resolution DEM Alos Palsar, Sentinel- 2A images with 10 meters resolution, and GIS data. There were 8 environmental variables used in this study, there are: OBIA valley-hill classification map, distance map of valley base, elevation map, slope map, aspect map, distance map of lineament, lineament density map and map distance from water sources. Modeling using location data input as many as 68 prehistoric occupations pointed caves with 8 environmental variables resulted in modeling performance with an AUC value of 0. 715 with good performance. Modeling produces the results of the jackknife test, analyzes the response curve of the environment variable and probability map in the researched area. Based on the probability map produced, this studied obtained prehistoric cave location data. Therefore, this modeling shows that MaxEnt could be used as a method for estimating archeological sites.

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Proceedings Article | 21 November 2019 Open Access

The effect of spatial resolution on the performance of cellular automata-based land use change spatial simulation

Bowo Susilo

Proceedings Volume 11311, 1131106 (2019) https://doi.org/10.1117/12.2549048

KEYWORDS: Spatial resolution, Visualization, Statistical analysis, Device simulation, Agriculture, Information science, Geography, Analytical research, Performance modeling, Remote sensing

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