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Built-Up Development Prediction Based on Cellular Automata Modelling Around New Yogyakarta International Airport

Sidiq Wahid Akhsin Budi Nur, Fariz Trida Ridho, Saputro Purnomo Adi, Sholeh Muh

Ecological Engineering & Environmental Technology

2024

Vol. 25, iss. 1

238--250

New Yogyakarta International Airport (NYIA) in Kulon Progo Regency was developed with the primary objective of fostering economic growth. The initiation of operations at NYIA in March 2020 triggered substantial urban development in the surrounding area. This research aimed to monitor the changes in land cover and predict the development of urban areas. The research methodology comprised the use of Random Forest, Classification, and Regression Tree machine learning algorithms to create land cover maps. It also incorporated Cellular Automata (CA), which was used to make prediction related to land development. The results showed that the land cover map had an overall accuracy level of above 0.80. Furthermore, it was observed from the results of the time series land cover analysis that there was a rapid growth in built-up lands. Between 2013 and 2017, these lands expanded by 572.38 hectares and further increased by 268.97 hectares from 2017 to 2023, leading to the conversion of 571.64 hectares of agricultural lands. On the basis of these findings, it was projected that by 2033, there would be an expansion of 386.08 hectares in built-up lands, with approximately 356.82 hectares converted from agricultural areas. The accuracy assessment of the 2023 land cover prediction map showed a high level of correctness, with a 97% accuracy rate. On the basis of these results, it was concluded that land conversion is essential to prevent environmental degradation, and further research can be carried out with the aim of assessing environmental quality indices.

Heat Stress Analysis Using the Discomfort Index Method: Impact on Macro Environmental in Yogyakarta

Nurmaya E. M., Abidin A. U., Hasanah N. A. I., Asmara A. A.

Journal of Ecological Engineering

2022

Vol. 23, nr 1

286--295

A growing urban development pattern can have both positive and negative impacts. One of them is the thermal discomfort in the form of heat stress. Heat stress is the maximum condition of the human body to receive the heat exposure to various activities. This study analyzed the thermal comfort in Yogyakarta City based on the Discomfort Index (DI) method. The DI method is commonly used in tropical climates using the parameters that include average air temperature and humidity. The data consists of secondary data obtained from Geophysics Station Gamping in 2004-2020 and Climatology Station Mlati in 2017-2020. The result of DI indicated that the highest value occurred in the wet moon climate type in April, with 25.63 °C. Therefore, the conditions showed that more than 50% of people in the city of Yogyakarta fall into an uncomfortable category with an average index of 24.97 °C, which can lead to heat stress. Environmental engineering can be employed to decrease the heat stress potential and improve the thermal comfort for Yogyakarta’s urban community, which is public and private open space, plant road shade vegetation, implement a green façade (vertical garden), as well as improve people’s living behavior and use appropriate clothing.