Arahan Pengendalian Perubahan Penggunaan Lahan Menggunakan Markov - Cellular Automata Di Kabupaten Cianjur

Yudarwati, Rani; Sitorus, Santun R.P.; Munibah, Khursatul

doi:10.14710/tataloka.18.4.211-221

Cited by 7 publications

(6 citation statements)

References 1 publication

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“…CA-Markov model represents LULC whose changes depend on the LULC of neighboring lands (Yudarwati et al, 2017). The basic concept of CA-Markov is to measure the probability of a series of events in the present to predict future events (Fitriyanto et al, 2019) with a transition matrix that explains the probability of change in each cell/ pixel from one LULC to another between two categories time point (Nadoushan et al, 2015;Siddiqui et al, 2018).…”

Section: The Methodsmentioning

confidence: 99%

Controlling the Urban Physical Development in Karawang and Purwakarta Regencies using Quantitative Zoning Approach

Murtadho¹,

Pravitasari²,

Munibah

et al. 2022

IJG

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Jakarta and Bandung metropolitan areas in Indonesia are experiencing urban expansion, which makes these two metropolitan areas increasingly connected by corridors to become one mega-urban. Karawang and Purwakarta Regencies are part of the Jakarta-Bandung corridor area which then triggers the urban physical development. This study aims to 1) Determine the level of service facilities in Karawang and Purwakarta Regencies; 2) Identify the changes in built-up and paddy fields Land Use/Land Cover (LULC) of Karawang and Purwakarta Regency based on existing and future conditions, and 3) Propose recommendations to control the urban physical development in Karawang and Purwakarta Regency. Analysis of level service facilities was carried out by using the scalogram method. Changes of built-up and paddy fields LULC in the existing and future conditions (projected using the CA-Markov method) are based on LULC of 2005, 2010 and 2018. Recommendations are given based on the grouping of villages with the same characteristics using the quantitative zoning method. Results showed the village development index in 2018 as the level of service facilities indicators, has a high or more developed value in the area around the connecting accessibility route between Jabodetabek and Greater Bandung metropolitan area. Changes in built-up and paddy fields LULC also the same trend as the village development index that is characterized by a fairly large increase in the area of built-up LULC in Karawang and Purwakarta Regencies. Recommendations are given to address specific problems that exist in each village group formed based on the spatial clustering method result.

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Section: The Methodsmentioning

confidence: 99%

Controlling the Urban Physical Development in Karawang and Purwakarta Regencies using Quantitative Zoning Approach

Murtadho¹,

Pravitasari²,

Munibah

et al. 2022

IJG

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“…Penginderaan Jauh dan Sistem Informasi Geografis dapat digunakan untuk memetakan dan menganalisis perkembangan kota serta menganalisis perubahan penutupan lahan (Pigawati et al 2017). Kajian perubahan penggunaan lahan telah banyak dilakukan dan umumnya menggunakan citra resolusi rendah (Hidayat et al 2015;Yudarwati et al 2016;Septiono dan Mussadun 2016;Prabowo et al 2017). Penelitian ini mencoba mengkaji dengan menggunakan citra resolusi tinggi berupa yang dapat menghasilkan kelas penggunaan/penutupan lahan yang lebih detail seperti dilakukan oleh Malarvizhi et al (2015).…”

Section: Pendahuluanunclassified

Perubahan Penggunaan Lahan Dan Kebutuhan Lahan Permukiman Di Kota Bontang, Kalimantan Timur

Wahyudi¹,

Munibah

Widiatmaka

2019

tataloka

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Abstrak: Kota Bontang merupakan kota termuda di Provinsi Kalimantan Timur yang berbasis pada sektor industri dengan pertumbuhan penduduk dan ekonomi wilayah yang relatif tinggi. Tujuan penelitian ini adalah (a) mengidentifikasi penggunaan lahan di Kota Bontang tahun 2002, 2009 dan 2016 (b) menganalisis perubahan dan memprediksi penggunaan lahan tahun 2023 (c) menganalisis kesesuaian dan ketersediaan lahan permukiman dan (d) menganalisis kebutuhan lahan permukiman. Metode analisis yang digunakan diantaranya analisis tumpang susun, kesesuaian lahan dan kebutuhan lahan permukiman. Hasil analisis menunjukkan terdapat sekitar enam penggunaan lahan yang dominan, yaitu hutan, semak, mangrove, permukiman, industri, dan ladang. Perubahan penggunaan lahan terbesar adalah dari hutan menjadi semak. Luas lahan permukiman pada tahun 2016 sekitar 1.770 ha dan diprediksi mengalami peningkatan yang paling tinggi dibanding penggunaan lahan lainnya pada tahun 2023. Hasil evaluasi kesesuaian lahan menunjukkan terdapat sekitar 4.864 ha atau 30,71% lahan yang berada pada kelas sesuai untuk permukiman. Ketersediaan lahan diluar kawasan permukiman eksisting sekitar 941,5 ha yang mampu mencukupi kebutuhan lahan permukiman bahkan hingga tahun 2050. Kata kunci: perubahan penggunaan lahan, kesesuaian lahan, permukimanAbstract: Bontang is the youngest city in East Kalimantan which focused to industrial sector. As the industry city, Bontang has been growing rapidly especially for population and regional development. This study was aimed to (a) identified land use in Bontang at 2002Bontang at , 2009Bontang at and 2016 analyze land use change and land use prediction in 2023 (c) evaluate land suitability and availability for settlement and (d) to estimate the land required for settlement in Bontang. The research was conducted by overlay method, matching system based on minimum limiting factor and descriptive analysis. Results analysis showed that actual land use in Bontang (2016) was dominated by bush, forest, mangrove, settlement, industry and plantation area. Dominant land use change (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016) in Bontang was forest to bush. The area of settlement in 2016 was about 1.770 ha and predicted to be the highest increased compared to other land use in 2023. Land suitability analysis showed that 4.864 ha or 30,71% of this region was in suitable class fo settlement. The availability of suitable land settlement exclude the existing was about 941,5 ha, which could meet the needs of settlement up to 2050.

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“…Hal ini yang dapat mendorong terjadinya perubahan penggunaan lahan. Selain faktor bio-fisik secara tidak langsung, sosial ekonomi menjadi faktor utama terjadinya perubahan penggunaan lahan (Yudarwati et al, 2017) umumnya berubah dari lahan pertanian menjadi non pertanian (Setiowati & Sudirman, 2015). Menurut Hidayati & Kinseng (2013) Pola konversi lahan pertanian terjadi secara cepat dengan penggantian penguasaan lahan ke pihak lahan, sehingga berpindahnya kepemilikan lahan (transaksi tanah) menyebabkan inkonsistensi pola ruang (Dani et al, 2017).…”

Section: Gambar 6 Peta Pola Transaksi Tanah DI Kabupaten Cirebonunclassified

Hubungan Spasial Transaksi Tanah Dengan Perkembangan Wilayah Di Kabupaten Cirebon, Jawa Barat

Marzuki¹,

Sitorus²,

Soma³

2019

tataloka

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The big potential of Cirebon Regency with good transportation access and demography bonus is able to promote its regional development. Not all of the potential has been optimized to invite investment in Cirebon Regency. One of the causes is some of the lands haven't been registered, so that obstructs investment that requires land. We explore the spatial relationship between the regional development level and land transaction pattern. We calculate the entropy diversification index to see the level of regional development. We also interpolate the land transaction to see the spatial pattern. The natural neighbor interpolation method was used to show spatial patterns of land transactions. Then, we overlay the map of the entropy index and land transaction pattern map to see the relationship spatially. Land transactions in Cirebon Regency gathered in a very developed and developing region. Districts of Palimanan, Depok, Plumbon, Weru, and Plered that are categorized very developed have more quantity of transactions and land transaction value than the undeveloped area. Pasaleman district has Kecamatan Depok, has the smallest entropy index, and categorized as undeveloped has a lower number and value of land transactions. We found a similar spatial pattern between the regional level of development and land transaction interpolation.

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Arahan Pengendalian Perubahan Penggunaan Lahan Menggunakan Markov - Cellular Automata Di Kabupaten Cianjur

Cited by 7 publications

References 1 publication

Controlling the Urban Physical Development in Karawang and Purwakarta Regencies using Quantitative Zoning Approach

Controlling the Urban Physical Development in Karawang and Purwakarta Regencies using Quantitative Zoning Approach

Perubahan Penggunaan Lahan Dan Kebutuhan Lahan Permukiman Di Kota Bontang, Kalimantan Timur

Hubungan Spasial Transaksi Tanah Dengan Perkembangan Wilayah Di Kabupaten Cirebon, Jawa Barat

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