Rizmasari, Nandika (2024) Analisis Kawasan Permukiman Padat dengan Metode Normalized Difference Built-Up Index dan Kaitannya Terhadap Land Surface Temperature (Studi Kasus: Kota Balikpapan, Kalimantan Timur). Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pada tahun 2022 ini mengalami pertambahan penduduk dari tahun sebelumnya. Perkembangan perkotaan yang semakin pesat menimbulkan berbagai permasalahan dalam penyediaan infrastruktur perkotaan, amenitas dan lingkungan perumahan. Perubahan penggunaan lahan dari kawasan hunian menjadi kawasan bisnis seperti perdagangan, perhotelan, perkantoran, dan jasa sehingga hal ini sangat berpengaruh terhadap ketersediaan lahan. Dalam hal ini juga dapat mempengaruhi suhu permukaan lahan (LST) dari kondisi kerapatan vegetasi, kerapatan bangunan, dan aktivitas yang terjadi di lingkungan tersebut. Penelitian ini bertujuan untuk melakukan analisis kawasan permukiman padat dengan menggunakan Normalized Difference Built-up Index (NDBI) dan mengaitkannya dengan Land Surface Temperature (LST) di Kota Balikpapan, Kalimantan Timur pada tahun 2019 dan 2022. Berdasarkan analisis NDBI tahun 2019 Kota Balikpapan terbagi menjadi 3 kelas yaitu pada kawasan permukiman padat memiliki luas 12.53 Ha, non permukiman 375.40 Ha, permukiman tidak padat 63.61 Ha. Sedangkan, pada tahun 2022 didapatkan luas non permukiman 381.55 Ha, permukiman tidak padat 55.88 Ha, dan permukiman padat 14.11 Ha. Total luas keseluruhan yaitu 451.53 Ha. Dari luas yang diperoleh tidak sama dengan luas Kota Balikpapan yang sebenarnya dikarenakan adanya tutupan awan yang berbeda disetiap tahunnya, maka penulis melakukan merge pada citra agar memiliki tutupan awan dan luasan yang sama dalam pengolahan. LST tahun 2019 memiliki interval suhu yang berada diantara 16°C - 31°C yang terbagi kedalam lima kelas suhu. Pada tahun 2022, suhu di Kota Balikpapan memiliki range diantara 19°C - 30°C. Hasil uji korelasi dari pengolahan kawasan permukiman padat metode NDBI dengan suhu permukaan metode LST tahun 2019 memiliki nilai r = 0,79 dan tahun 2022 memiliki nilai r = 0,71. Dimana, pada rentang 0,70 - 0,89 masuk dalam korelasi kuat yang berarti NDBI dan LST saling berkaitan.
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In 2022, there will be an increase in population from the previous year. Rapid urban development raises various problems in providing urban infrastructure, amenity, and residential environment. Changes in land use from residential areas to business areas such as trade, hotels, offices, and services this greatly affects the availability of land. In this case it can also affect land surface temperature (LST) from the condition of vegetation density, building density, and activities that occur in the neighborhood. This study aims to analyze dense residential areas using Normalized Difference Built-up Index (NDBI) and relate it to Land Surface Temperature (LST) in Balikpapan City, East Kalimantan in 2019 and 2022. Based on the NDBI analysis in 2019, Balikpapan City is divided into 3 classes, namely in dense residential area with an area of 12.53 Ha, non-settlement area of 375.40 Ha, and non-solid residential area of 63.61 Ha. Meanwhile, in 2022 the area of non-settlement is 381.55 Ha, non-settlement 55.88 Ha, and dense settlement 14.11 Ha. The total area is 451.53 Ha. The area obtained is not the same as the actual area of Balikpapan City due to different cloud cover in each year, so the author merges the images to have the same cloud cover and area in the processing. LST in 2019 has temperature interval between 16°C - 31°C which is divided into five temperature classes. In 2022, the temperature in Balikpapan City has a range between 19°C - 30°C. The result of correlation test from processing dense residential area using NDBI method with surface temperature using LST method in 2019 has the value of r = 0.79 and in 2022 has the value of r = 0.71. Where, in the range of 0.70 - 0.89 is included in the strong correlation which means NDBI and LST are interrelated.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Dense Settlements, Normalized Difference Built-Up Index, Land Surface Temperature, Landsat-8 OLI/TIRS. Permukiman Padat, Normalized Difference Built-Up Index, Land Surface Temperature, Landsat-8 OLI/TIRS. |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing H Social Sciences > HA Statistics > HA30.6 Spatial analysis H Social Sciences > HA Statistics > HA31.3 Regression. Correlation H Social Sciences > HN Social history and conditions. Social problems. Social reform > HN690.5 Slums H Social Sciences > HT Communities. Classes. Races > HT133 City and Towns. Land use,urban |
| Divisions: | Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis |
| Depositing User: | Nandika Rizmasari |
| Date Deposited: | 29 Jul 2024 06:44 |
| Last Modified: | 29 Jul 2024 06:44 |
| URI: | http://repository.its.ac.id/id/eprint/109707 |
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