Forecasting the land use change of urban coastal area in Banda Aceh and its impact on urban sustainability using LandUseSIM cellular automata simulation model.

Burhan, Issana Meria; Achmad, Ashfa; Rizkiya, Putra; Hasan, Zainuddin

doi:10.13170/aijst.9.3.17303

Cited by 7 publications

(4 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Berdasarkan Dengan adanya fenomena di atas diketahui bahwa analisis menggunakan pemodelan spasial sangat diperlukan untuk mem-prediksi perkembangan lahan terbangun dengan pendekatan LP2B, sehingga dapat meminimalisir dampak perkembangan lahan terbangun yang akan mengkonversi lahan pertanian pada masa yang akan datang [6]. Menimbang perubahan penggunaan lahan yang terus terjadi maka diperlukan pemodelan spasial lahan berbasi prediksi [6][7][8][9][10]. Cellular Automata (CA) adalah sistem dinamika diskrit dimana ruang dibagi ke dalam bentuk spasial sel teratur dan waktu berproses pada setiap tahapan yang berbeda [11].…”

Section: Pendahuluanunclassified

See 1 more Smart Citation

Prediksi Spasial Perkembangan Lahan Terbangun berbasis Trend dengan Skenario Perlindungan LP2B di Kecamatan Kota Sumenep

Saputra¹,

Pratomoatmojo²,

Jatayu³

et al. 2022

JTITS

View full text Add to dashboard Cite

Print) C150 Abstrak-Adanya dinamika yang terjadi pada masyarakat meliputi pertumbuhan penduduk, dan pola pengembangan wilayah terus bertambah, sehingga setiap tahunnya menyebabkan perkembangan lahan terbangun yang tidak dapat dihindari. Lahan pertanian produktif di Kabupaten Sumenep, Madura, Jawa Timur, makin menyempit. Hal ini, disebabkan oleh tergerusnya lahan pertanian dengan banyaknya perkembangan lahan permukiman. Dengan adanya Peraturan Daerah No. 2 Tahun 2018 Kabupaten Sumenep, tampaknya kondisi LP2B masih diabaikan oleh sejumlah pihak, beberapa dinas masih mengizinkan pengembang untuk membangun perumahan di lahan pertanian yang tergolong LP2B meski PERDA terkait LP2B sudah diresmikan. Tujuan dari penelitian ini untuk memodelkan perkembangan lahan terbangun di Kecamatan Kota Sumenep tahun 2041. Analisis menggunakan pemodelan spasial sangat diperlukan untuk mem-prediksi perkembangan lahan terbangun dengan pendekatan LP2B, sehingga dapat meminimalisir dampak perkembangan lahan terbangun yang akan mengkonversi lahan pertanian pada masa yang akan datang, sebagai gambaran dan masukan kepada pemangku kepentingan dalam mengambil keputusan. LanduseSim merupakan salah satu perangkat lunak yang memiliki basis pendekatan Cellular Automata yang fungsinya dapat memodelkan perubahan lahan. Dari hasil validasi model didapatkan tingkat akurasi sebesar 89.22 %, dengan kata lain pemodelan yang dilakukan memiliki tingkat akurasi tinggi atau baik. Hasil pemodelan perkembangan lahan menunjukkan Desa Parsanga, Paberasan, dan Kacongan merupakan daerah potensial untuk berkembang. Perkembangan lahan terbangun di Kecamatan Kota Sumenep akan terus bertambah berjalan lurus dengan peningkatan jumlah penduduk. Sehingga eksistensi dari LP2B tetap harus ada, guna menekan tingginya angka konversi terhadap lahan pertanian. Oleh karena itu untuk lokasi LP2B pengganti kedepannya dapat dirumuskan pada desa dengan tingkat potensi berkembang rendah.

show abstract

Section: Pendahuluanunclassified

“…Dalam mendapatkan estimasi kebutuhan luas lahan terbangun pada tahun 2041, dilakukan perhitungan dengan pendekatan berbasis trend [7][8]. Pendekatan kebutuhan lahan berbasis trend didapatkan dari hasil perubahan lahan dari tahun 2011 hingga 2021 yang ada pada Tabel 4 dengan asumsi lahan terus tumbuh secara lurus.…”

Section: ) Analisis Estimasi Kebutuhan Luas Lahan Terbangununclassified

Prediksi Spasial Perkembangan Lahan Terbangun berbasis Trend dengan Skenario Perlindungan LP2B di Kecamatan Kota Sumenep

Saputra¹,

Pratomoatmojo²,

Jatayu³

et al. 2022

JTITS

View full text Add to dashboard Cite

show abstract

“…This issue is pronounced in coastal regions prone to tsunamis, as seen in Banda Aceh City's Meuraxa, Jaya Baru, Kuta Alam, and Syiah Kuala districts, which have a history of severe disasters. Rapid and unregulated development in these coastal areas can lead to environmental, social, and economic di culties [13] [14].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Settlement Development and Future Challenges in The Tsunami Disaster Risk Area Case Study: Banda Aceh Coastal Areas

Soviana,

Achmad,

Syamsidik

et al. 2024

Preprint

Self Cite

View full text Add to dashboard Cite

The cataclysmic tsunami in 2004 profoundly impacted the city of Banda Aceh, resulting in significant redevelopment efforts in the coastal areas. This research examines the spatial development of settlements in these regions, mainly focusing on their vulnerability to future tsunami hazards. Surveys, literature reviews, and Geographic Information System analyses assessed how current urban growth aligns with the directives outlined in the Regional Spatial Layout Plan and disaster mitigation strategies. The findings reveal a notable escalation in settlement development within Banda Aceh City, with a 73.70% increase in directed sites. However, establishing sufficient tsunami rescue facilities has yet to accompany this growth adequately. Only 3.4% of the population has access to vertical evacuation infrastructure, highlighting inadequacies in the city's preparedness for future tsunami events. This deficiency in safety infrastructure poses an elevated risk to the expanding population residing in these areas. The study underscores the need to reassess urban planning and disaster mitigation strategies comprehensively. We emphasize the urgent requirement for the government to implement policies regulating urban expansion in high-risk coastal areas and enhancing the availability and distribution of vertical evacuation facilities. These measures are of utmost importance in safeguarding the lives of Banda Aceh's residents against potential future tsunamis, thereby contributing to the city's sustainable urban development and resilience. The study also provides valuable insights and recommendations for government policymaking in urban planning, focusing on prioritizing the safety and well-being of coastal communities in regions prone to tsunamis.

show abstract

“…Prediction of land use and urban development can be made using Cellular Automata (CA), and Artificial Neural Network (ANN) approaches [8][9][10]. Meanwhile, Geographic Information Systems (GIS) are used to create spatial data and build driving variables that affect land change in urban areas [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Settlement Growth in Meulaboh Urban Area (MUA) and Its Implication for Carrying Capacity

Rahman

Ramli

Irwansyah

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

Self Cite

View full text Add to dashboard Cite

Population growth affects the competition between land uses. Inevitably, the increasing demand for natural resources causes severe damage to the urban environment. In addition, the potential of water resources can be a problem related to the supply of clean and suitable water to the community. The geological structure of the soil, disaster susceptibility, and issues with the clean water supply at the location are challenges in determining the development of residential areas in the Meulaboh Urban Area (MUA). This study aims to determine the carrying capacity of the Meulaboh urban settlement environment and the model for the distribution of settlements in the MUA. The environment’s carrying capacity is reviewed based on two aspects: the carrying capacity of settlements and water resources. In analyzing settlement modeling using MLC data from time-series images of Google Earth and Landsat 8-9 in 2011, 2016, and 2021 and using the MOLUSCE plugin on QGIS. The environmental carrying capacity assessment results show that the level of carrying capacity of settlements in the MUA is currently worth 1.69, and in 2041 it will reach a value of 1.26. While the carrying capacity of water resources in the current year is at a value of 2.8, and in 2041, it will reach a value of 2.0. Until 2041, it can still accommodate the population and meet the water needs to support population growth. However, it must still consider the disaster aspects and existing environmental constraints. So that sustainable development can be created that can balance development and the environment in the region.

show abstract

Forecasting the land use change of urban coastal area in Banda Aceh and its impact on urban sustainability using LandUseSIM cellular automata simulation model.

Cited by 7 publications

References 29 publications

Prediksi Spasial Perkembangan Lahan Terbangun berbasis Trend dengan Skenario Perlindungan LP2B di Kecamatan Kota Sumenep

Prediksi Spasial Perkembangan Lahan Terbangun berbasis Trend dengan Skenario Perlindungan LP2B di Kecamatan Kota Sumenep

Evaluation of Settlement Development and Future Challenges in The Tsunami Disaster Risk Area Case Study: Banda Aceh Coastal Areas

Prediction of Settlement Growth in Meulaboh Urban Area (MUA) and Its Implication for Carrying Capacity

Contact Info

Product

Resources

About