Perhitungan Ruang Terbuka Hijau di Kecamatan Kartasura Sukoharjo Berdasarkan Luas Wilayah, Jumlah Penduduk, dan Kebutuhan O2

Arsandrie, Yayi; Widayanti, Enny

doi:10.23917/sinektika.v15i2.9867

Cited by 7 publications

(8 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Adapun hasil perhitungan luas ruang terbuka hijau masih mengalami kekurangan luas ruang terbuka hijau sebesar 1.665,896 ha. Setiap rumah sebaiknya menanam satu pohon untuk menambah ruang terbuka hijau dan pemerintah juga perlu merelokasi beberapa area pemukiman padat penduduk untuk dijadikan ruang terbuka hijau publik (Arsandrie & Widayanti, 2018). Hasil observasi di lapangan juga menunjukkan jumlah taman publik dan hutan kota masih sangat kurang sehingga ruang terbuka hijau publik perlu di tambahkan agar memenuhi standar keyamanan bagi penduduk Kota Tangerang Selatan.…”

Section: Ruang Terbuka Hijau Berdasarkan Jumlah Penduduk DI Kota Tang...unclassified

Analisis ketersediaan ruang terbuka hijau di Kota Tangerang Selatan

Fitri

Pangaribowo²

2022

jal

View full text Add to dashboard Cite

The need for land for urban development has an impact on changes in land use and the availability of green open spaces in urban areas. The increase in population from outside the area to urban areas will make the land in urban areas narrower and trigger a reduction in green open space. This study aims to determine the level of availability of green open space in the city of South Tangerang. The approach used in this research is a quantitative descriptive approach, namely field observation and field check, the research object of all green open spaces in the city of South Tangerang and data analysis using a geographic application system (GIS). The results showed that the change in green open space during the period 2010 to 2020 in the city of South Tangerang was 1,847 ha. The area of ??green open space available in South Tangerang City in 2020 based on the area is 4,224 ha. The area requirement for green open space required in South Tangerang City based on the area is 4,945 ha. The city of South Tangerang is still experiencing a lack of green open space of 721 ha.

show abstract

Section: Ruang Terbuka Hijau Berdasarkan Jumlah Penduduk DI Kota Tang...unclassified

Analisis ketersediaan ruang terbuka hijau di Kota Tangerang Selatan

Fitri

Pangaribowo²

2022

jal

View full text Add to dashboard Cite

show abstract

“…Urban area expansion due to the population growth has been a long-time concern for scientists. Problems related to this urban expansion are not only the high demand for infrastructure, but also the environmental issues, such as the decrease of green open spaces [1]. Study on urban areas, particularly remote sensing data applications for extracting built-up lands data then become an interest.…”

Section: Introductionmentioning

confidence: 99%

Assessing Performance of Modified Spectral Indices as Land Surface Temperature Indicators in Tropical Urban Areas

Hadibasyir

Firdaus

Fikriyah

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

Spectral indices derived from remote sensing data such as NDVI, SAVI, NDBI, NDWI, and MNDWI were modified using various mathematical operations to enhance the overall accuracy of the automated mapping built-up (BU) areas. Although some of the modified spectral indices succeed in improving the accuracy of mapping BU areas, their performance as land surface temperature (LST) indicators needs to be investigated. Hence, this paper aims 1) to assess the performance of various spectral indices as LST indicators and 2) to investigate the relationship between performance of spectral indices as LST indicators and their accuracy for mapping BU areas. Research locations were located in Yogyakarta and Surakarta City, Indonesia. Spectral indices and LST were derived from Landsat 8. Results showed that NDBI, NDBI*MNDWI, NDVI*NDBI, and NDBI*SAVI were good LST indicators both in Yogyakarta and Surakarta proven by moderate to strong coefficient of Pearson correlation. The relationship between the performance of various spectral indices as LST indicators and their accuracy for mapping BU areas showed strong positive Spearman correlation by 0.69 and 0.73 for Yogyakarta and Surakarta, respectively. In other words, spectral indices, for both original and modified indices, with good accuracy for automated mapping BU areas tended to be good LST indicators.

show abstract

“…The uneven distribution of the population, which has an impact on population quality, is typically the cause of the problem of population density. The high population growth will also affect the increasing pattern of dense settlements and have a social impact on the community (Arsandrie, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…The number of immigrants, including students and workers for businesses, has an impact on the population density in the Kartasura Subdistrict. This triggers an increase in development, such as houses, boarding houses, shops, and places to eat, which affects land cover changes (Arsandrie, 2018).…”

Section: Introductionmentioning

confidence: 99%

Relationship Between Population Density and Land Cover Change in Kartasura Sub-district Using Built-Up Index (NDBI)

Cahyani,

Jumadi,

Saputra

2023

Advances in Social Science, Education and Humanities Research

View full text Add to dashboard Cite

The population density that occurs in a region can usually cause many problems to occur in the region, one of which is land cover change from vegetation to land that will later be built up. Kartasura Sub-district is a district in Sukoharjo regency that is strategically located in the city area, which means that many issues could develop there. The purpose of this study was to determine the relationship between population density in Kartasura Sub-district and land use changes that occurred in 2010 and 2021. This study employed the Nomalized Difference Builtup Index (NDBI) with Landsat 7 and 8 images obtained from Google Earth Engine, and population data were taken from the Statistics Indonesia (BPS) in figures for Kartasura Sub-district in 2010 and 2021. Determining the relationship between population density and changes in non-building land and buildings used variable correlation analysis. The result of this study is the increase in population density every year, despite the decrease in some villages in 2021 due to a factor and the comparison of building classifications in 2010 and 2021. Thus, it is very clear that many changes occurred in 2021, from vegetation land to building land. Overall accuracy (OA) is 92%, and the result of the relationship between the number of residents and building changes is 0.398, which means a positive effect.

show abstract

Perhitungan Ruang Terbuka Hijau di Kecamatan Kartasura Sukoharjo Berdasarkan Luas Wilayah, Jumlah Penduduk, dan Kebutuhan O2

Cited by 7 publications

References 0 publications

Analisis ketersediaan ruang terbuka hijau di Kota Tangerang Selatan

Analisis ketersediaan ruang terbuka hijau di Kota Tangerang Selatan

Assessing Performance of Modified Spectral Indices as Land Surface Temperature Indicators in Tropical Urban Areas

Relationship Between Population Density and Land Cover Change in Kartasura Sub-district Using Built-Up Index (NDBI)

Contact Info

Product

Resources

About