Land cover change modeling to identify critical land in the Ciletuh Geopark tourism area, Palabuhanratu, Sukabumi Regency.

Putri, Rizky Annisa; Supriatna, Supriatna

doi:10.1088/1755-1315/623/1/012081

Cited by 5 publications

(4 citation statements)

References 1 publication

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“…Pemodelan Cellular Automata Markov Chains merupahkan pemodelan yang paling andal, akurat, dan berguna untuk mensimulasikan dan memprediksi perubahan lahan secara spasial dan temporal di masa yang akan datang dengan akurat (Putri & Supriatna, 2021;Sugandhi et al, 2022). Pemodelan ini didasarkan dari terus meningkatnya pertumbuhan penduduk akan menyebabkan kebutuhan akan lahan semakin tinggi, sedangkan luas lahan yang ada bersifat tetap (Pratami et al, 2019).…”

Section: Pendahuluanunclassified

Model Dinamika Spasial Perubahan Tutupan Lahan dan Daya Dukung Lahan Permukiman Kota Ambon Tahun 2031

Septory,

Latue,

Rakuasa

2023

geographia: j. pendidik. dan penelit. geografi

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The rate of population growth that continues to increase in Ambon city with the availability of suitable land is relatively constant, resulting in inconsistencies between land requirements and available land. This study aims to analyze land cover changes in Ambon City in 2013, 2018, 2023 and predict land cover in 2031 using the Cellular Automata Markov Chain (CAMC) and the carrying capacity index of residential areas. The driving factors used in this study were elevation, slope, distance from the coastline, distance from the main road, distance from the river, distance from the center of economic activity and distance from protected areas. Based on the predictions of the Cellular Automata Markov Chain model in 2031, the built-up land cover has increased in area to 4,958.33 ha or 49,583,268 m2, with a predicted population of Ambon City in 2031 of 2,445,961 people. The calculation of the carrying capacity of residential land in 2031 in Ambon City results in the carrying capacity index of residential land of 1.27 m²/capita, meaning that if DDPm > 1 indicates the carrying capacity of residential land is high and still able to accommodate residents to live and build houses in the area. In other words, Ambon City can still accommodate an increase in settlements of 1.27 m²/capita.

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Section: Pendahuluanunclassified

Model Dinamika Spasial Perubahan Tutupan Lahan dan Daya Dukung Lahan Permukiman Kota Ambon Tahun 2031

Septory,

Latue,

Rakuasa

2023

geographia: j. pendidik. dan penelit. geografi

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“…Penelitian ini menggunakan pemodelan Cellular Automata Markov Chains (CA-MC) yang diyakini merupakan pemodelan yang paling andal, akurat, dan berguna untuk mensimulasikan dan memprediksi perubahan lahan secara spasial dan temporal di masa yang akan datang dengan akurat (Islam et al, 2018;Putri & Supriatna, 2021). Penelitian ini bertujuan untuk menganalisis perubahan tutupan lahan Kecamatan Sirimau pada tahun 2012, 2017 dan 2022, serta memprediksi tutupan lahan tahun 2031.…”

Section: Pendahuluanunclassified

Prediksi Perubahan Tutupan Lahan di Kecamatan Sirimau, Kota Ambon Menggunakan Celular Automata- Markov Chain

Sugandhi

Supriatna

Kusratmoko

et al. 2022

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Sirimau District has the largest population in Ambon City which has an impact on the need for higher residential land, this will certainly affect uncontrolled land cover changes and have an impact on land conversion and environmental damage. This study aims to analyze land cover changes in Sirimau District in 2012, 2017, and 2022, and predict land cover in 2031. This study uses the Cellular Automata Markov Chains (CA-MC) method. The results showed that in the period 2012-2031 the area of residential land cover and open land continued to increase along with the increase in population and the high need for built-up land. In contrast to the land cover of agricultural areas and non-agricultural areas, which experienced a decrease in area. The results of the research are expected to be used as a basis for making policies related to the arrangement and good use of space in the future

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“…Processing of data driving factors is carried out using ArcMap 10.8 software [24], using fuzzy overlay techniques and producing output in the form of driving factors [25]. Fuzzy is a logical system [26], [27] which aims to formalize approximate reasoning represented in the form of interest levels that have a value range of 0-1 (Boolean) [28], [29].…”

Section: Processing Data Driving Factorsmentioning

confidence: 99%

Spatial Dynamics Model of Earthquake Prone Area in Ambon City

Rakuasa

Supriatna

Karsidi

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Ambon City has limitations in the development of residential areas because it is in an area prone to earthquake disasters, This is because Ambon City is in a very active tectonic area and 65% of settlement land / land built in Ambon City is in an active and weak fault zone and if there is a plate movement there will be an earthquake along the weak zone. One of the first steps to the effort to stigmatize disasters is to estimate how large the area of settlements that have been analyzed using cellular automata markov-chain located in earthquake-prone areas. This study aims to analyze changes in Ambon city land cover in 2012, 2017, 2021 and predict land cover in 2031 and synthesize spatial dynamics of settlement land availability with earthquake-prone areas in Ambon City in 2021 and 2031. This study uses Cellular Automata modeling to predict ambon city land cover in 2031 which will be covered with a map of earthquake-prone areas obtained from BPBD Ambon City to see residential areas that are in earthquake prone areas in Ambon City in 2021 and 2031. The results showed that the area of built land affected in earthquake-prone areas has a straight proportional relationship with the year of land development built. So that the more years then the area of land is built in areas prone to earthquakes and increasing. This research is expected to be used as a reference in the management of sustainable settlement area development and for efforts to organize space based on disaster mitigation in order to minimize losses and casualties due to earthquake disasters that will occur in Ambon City in this future.

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Land cover change modeling to identify critical land in the Ciletuh Geopark tourism area, Palabuhanratu, Sukabumi Regency.

Cited by 5 publications

References 1 publication

Model Dinamika Spasial Perubahan Tutupan Lahan dan Daya Dukung Lahan Permukiman Kota Ambon Tahun 2031

Model Dinamika Spasial Perubahan Tutupan Lahan dan Daya Dukung Lahan Permukiman Kota Ambon Tahun 2031

Prediksi Perubahan Tutupan Lahan di Kecamatan Sirimau, Kota Ambon Menggunakan Celular Automata- Markov Chain

Spatial Dynamics Model of Earthquake Prone Area in Ambon City

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