Prediksi potensi deviasi pola ruang kawasan permukiman berbasis cellular automata di Kecamatan Mapanget, Kota Manado

Penulis

  • Rieneke Lusia Evani Sela Department of Urban and Regional Planning, Faculty of Engineering, Universitas Sam Ratulangi , Department of Urban and Regional Planning, Faculty of Engineering, Universitas Sam Ratulangi
  • Andy Anton Mangopa Malik Department of Urban and Regional Planning, Faculty of Engineering, Universitas Sam Ratulangi , Department of Urban and Regional Planning, Faculty of Engineering, Universitas Sam Ratulangi https://orcid.org/0000-0001-7121-9809 (tidak diautentikasi)
  • Sonny Tilaar Department of Urban and Regional Planning, Faculty of Engineering, Universitas Sam Ratulangi , Department of Urban and Regional Planning, Faculty of Engineering, Universitas Sam Ratulangi
  • Nadira Astuti Lestari Department of Urban and Regional Planning, Faculty of Engineering, Universitas Sam Ratulangi ,

DOI:

https://doi.org/10.30822/arteks.v9i1.2655
Crossmark

Kata Kunci:

Cellular automata, Deviation, Land use change, Land use Sim, Settlement

Abstrak

Kecamatan Mapanget merupakan salah satu bagian administratif dari Kota Manado. Kecamatan Mapanget menjadi salah satu arahan dalam rencana pengembangan kota baru yang berfokus pada perkembangan pusat permukiman baru yang letaknya berada di pinggiran kota. Perubahan penggunaan lahan di Kecamatan Mapanget dapat dianalisis secara spasial dengan memanfaatkan sistem penginderaan jarak jauh. Untuk mengantisipasi dampak negatif yang tidak terkontrol pada daerah pinggiran kota, maka diperlukan sebuah prediksi perkembangan penggunaan lahan permukiman. Oleh karena itu, tujuan penelitian ini adalah memprediksi perkembangan lahan selama 20 tahun, sejak tahun 2022 hingga tahun 2042 dan menganalisis potensi deviasi perkembangan pola ruang permukiman Kota Manado khususnya Kecamatan Mapanget menggunakan analisis spasial berbasis Geography Information System-Cellular Automata (GIS-CA) ddan analisis pembobotan dengan teknik Analytic Hierarchy Process (AHP). Untuk proses simulasi menggunakan software Archmap 10.8, QGIS, dan LanduseSim 2.3.1. Hasil prediksi menunjukkan bahwa akan terjadi perubahan penggunaan lahan bangunan permukiman selama 20
tahun kedepan sebesar 1956,75 Ha atau meningkat 201% yang disebabkan oleh faktor pendorong dengan bobot terbesar yaitu kedekatan dengan permukiman eksisting. Potensi deviasi yang terjadi berdasarkan arahan rencana pola ruang untuk bangunan permukiman yaitu 1106,79 Ha dan potensi
deviasi terbesar yaitu pada Kelurahan Buha.

Unduhan

Data unduhan tidak tersedia.

Referensi

Addae, Bright, and Natascha Oppelt. 2019. ‘Land-Use/Land-Cover Change Analysis and Urban Growth Modelling in the Greater Accra Metropolitan Area (GAMA), Ghana’. Urban Science 3 (1): 26. https://doi.org/10.3390/urbansci3010026.

Cabrera, and Lee. 2019. ‘Flood-Prone Area Assessment Using GIS-Based Multi-Criteria Analysis: A Case Study in Davao Oriental, Philippines’. Water 11 (11): 2203. https://doi.org/10.3390/w11112203.

Dyan Syafitri, Rivan Aji Wahyu, and Cahyono Susetyo. 2019. ‘Pemodelan Pertumbuhan Lahan Terbangun Sebagai Upaya Prediksi Perubahan Lahan Pertanian Di Kabupaten Karanganyar’. Jurnal Teknik ITS 7 (2). https://doi.org/10.12962/j23373539.v7i2.36453.

Fitawok, Melaku Bogale, Ben Derudder, Amare Sewnet Minale, Steven Van Passel, Enyew Adgo, and Jan Nyssen. 2020. ‘Modeling the Impact of Urbanization on Land-Use Change in Bahir Dar City, Ethiopia: An Integrated Cellular Automata–Markov Chain Approach’. Land 9 (4): 115. https://doi.org/10.3390/land9040115.

Gerami Seresht, Nima, and Aminah Robinson Fayek. 2019. ‘Computational Method for Fuzzy Arithmetic Operations on Triangular Fuzzy Numbers by Extension Principle’. International Journal of Approximate Reasoning 106 (March): 172–93. https://doi.org/10.1016/j.ijar.2019.01.005.

Gharaibeh, Anne, Abdulrazzaq Shaamala, Rasha Obeidat, and Salman Al-Kofahi. 2020. ‘Improving Land-Use Change Modeling by Integrating ANN with Cellular Automata-Markov Chain Model’. Heliyon 6 (9): e05092. https://doi.org/10.1016/j.heliyon.2020.e05092.

Kafy, Abdulla - Al, Md. Nazmul Huda Naim, Gangaraju Subramanyam, Abdullah-Al- Faisal, Nessar Uddin Ahmed, Abdullah Al Rakib, Marium Akter Kona, and Golam Sabbir Sattar. 2021. ‘Cellular Automata Approach in Dynamic Modelling of Land Cover Changes Using RapidEye Images in Dhaka, Bangladesh’. Environmental Challenges 4 (August): 100084. https://doi.org/10.1016/j.envc.2021.100084.

Khan, Adeer, and Mehran Sudheer. 2022. ‘Machine Learning-Based Monitoring and Modeling for Spatio-Temporal Urban Growth of Islamabad’. The Egyptian Journal of Remote Sensing and Space Science 25 (2): 541–50. https://doi.org/10.1016/j.ejrs.2022.03.012.

Latif, Sahabuddin, Nurhikmah Paddiyatu, Andi Yusri, and Sumarni Baking. 2021. ‘Infiltration Optimization Effort towards Sustainable Land-Use’. ARTEKS : Jurnal Teknik Arsitektur 6 (3): 481–90. https://doi.org/10.30822/arteks.v6i3.1203.

Margono, Romi Bramantyo, Yulia, Siswanti Zuraida, and Wiwik Dwi Pratiwi. 2021. ‘The Impact of Housing Transformation to Livability in North Bandung Peri-Urban Area’. ARTEKS : Jurnal Teknik Arsitektur 6 (2): 259–68. https://doi.org/10.30822/arteks.v6i2.724.

Morakinyo, Kolawole O., F. O. Eghenure, H. O. Adebiyi, and J. A. Adeola. 2023. ‘Environmental Sustainability and Urban Growth Issues: Empirical Evidence from Osogbo Capital Territory, Nigeria’. Local Engineering 1 (2): 55–66. https://doi.org/10.59810/lejlace.v1i2.74.

Muljadinata, Albertus Sidharta, and Bayu Widiantoro. 2023. ‘Karsten’s Work as a City Branding Strengthener for The Semarang City, Indonesia’. Journal of Architecture and Human Experience 1 (1): 11–22. https://doi.org/10.59810/archimane.v1i1.2.

Ngangi, Reddy Silvano, Papia J. Franklin, and Windy Mononimbar. 2018. ‘Analisis Pertumbuhan Kawasan Mapanget Sebagai Kota Baru.’ Jurnal Spasial 5 (1): 82–92. https://doi.org/https://doi.org/10.35793/sp.v5i1.19098.

Noviani, Rita, Chatarina Muryani, Ahmad, Sarwono, Sugiyanto, and Singgih Prihadi. 2023. ‘Modelling of Urban Growth Based on a Geographic Information System (GIS) and Cellular Automata at Sukoharjo Regency in 2032’. IOP Conference Series: Earth and Environmental Science 1190 (1): 012042. https://doi.org/10.1088/1755-1315/1190/1/012042.

Ou, Cong, Jianyu Yang, Zhenrong Du, Xin Zhang, and Dehai Zhu. 2019. ‘Integrating Cellular Automata with Unsupervised Deep-Learning Algorithms: A Case Study of Urban-Sprawl Simulation in the Jingjintang Urban Agglomeration, China’. Sustainability 11 (9): 2464. https://doi.org/10.3390/su11092464.

Pigawati, B, A Sugiri, I N A M Putra, and T A Suryani. 2020. ‘Prediction and Location Suitability of Settlement Growth at The BWK II of Semarang City’. IOP Conference Series: Earth and Environmental Science 500 (1): 012023. https://doi.org/10.1088/1755-1315/500/1/012023.

Pratomoatmojo, N A. 2018a. ‘Permodelan Perubahan Penggunaan Lahan Berbasis Cellular Automata Dan Sistem Informasi Geografis Dengan Menggunakan LanduseSim’. Jurnal Penataan Ruang 13 (1): 26–30.

———. 2018b. ‘LanduseSim Algorithm: Land Use Change Modelling by Means of Cellular Automata and Geographic Information System’. IOP Conference Series: Earth and Environmental Science 202 (November): 012020. https://doi.org/10.1088/1755-1315/202/1/012020.

———. 2018c. ‘LanduseSim Methods: Land Use Class Hierarchy for Simulations of Multiple Land Use Growth’. IOP Conference Series: Earth and Environmental Science 202 (November): 012023. https://doi.org/10.1088/1755-1315/202/1/012023.

———. 2021. LanduseSim Praktikum :Pemodelan Spasial Perkembangan Permukiman Dan Industri Berbasis Sistem Informasi Geografis Dan Cellular Automata v.0.3.

Putra, Muhammad Rusdin Rangga, and Iwan Rudiarto. 2018. ‘Simulasi Perubahan Penggunaan Lahar Dengan Konsep Celluler Automata Di Kota Mataram’. Jurnal Pengembangan Kota 6 (2): 174. https://doi.org/10.14710/jpk.6.2.174-185.

Regasa, Motuma, Michael Nones, and Dereje Adeba. 2021. ‘A Review on Land Use and Land Cover Change in Ethiopian Basins’. Land 10 (6): 585. https://doi.org/10.3390/land10060585.

Rimal, Bhagawat, Lifu Zhang, Hamidreza Keshtkar, Barry Haack, Sushila Rijal, and Peng Zhang. 2018. ‘Land Use/Land Cover Dynamics and Modeling of Urban Land Expansion by the Integration of Cellular Automata and Markov Chain’. ISPRS International Journal of Geo-Information 7 (4): 154. https://doi.org/10.3390/ijgi7040154.

Sadewo, Muhammad Nur, and Imam Buchori. 2018. ‘Simulasi Perubahan Penggunaan Lahan Akibat Pembangunan Kawasan Industri Kendal (KIK) Berbasis Cellular Automata’. Majalah Geografi Indonesia 32 (2): 142. https://doi.org/10.22146/mgi.32272.

Subandi, E L, Widiatmaka, and M Ardiansyah. 2019. ‘Spatial Modeling of Paddy Fields in Gorontalo Regency, Indonesia’. IOP Conference Series: Earth and Environmental Science 399 (1): 012037. https://doi.org/10.1088/1755-1315/399/1/012037.

Sumarmi, Sumarmi, Purwanto Purwanto, and Syamsul Bachri. 2021. ‘Spatial Analysis of Mangrove Forest Management to Reduce Air Temperature and CO2 Emissions’. Sustainability 13 (14): 8090. https://doi.org/10.3390/su13148090.

Surya, Batara, Despry Nur Annisa Ahmad, Harry Hardian Sakti, and Hernita Sahban. 2020. ‘Land Use Change, Spatial Interaction, and Sustainable Development in the Metropolitan Urban Areas, South Sulawesi Province, Indonesia’. Land 9 (3): 95. https://doi.org/10.3390/land9030095.

Tatashev, Alexander, and Marina Yashina. 2019. ‘Spectrum of Elementary Cellular Automata and Closed Chains of Contours †’. Machines 7 (2): 28. https://doi.org/10.3390/machines7020028.

Wahyudi, Agung, and Yan Liu. 2016. ‘Cellular Automata for Urban Growth Modelling’: International Review for Spatial Planning and Sustainable Development 4 (2): 60–75. https://doi.org/10.14246/irspsd.4.2_60.

Xia, Chang, and Bin Zhang. 2021. ‘Exploring the Effects of Partitioned Transition Rules upon Urban Growth Simulation in a Megacity Region: A Comparative Study of Cellular Automata-Based Models in the Greater Wuhan Area’. GIScience & Remote Sensing 58 (5): 693–716. https://doi.org/10.1080/15481603.2021.1933714.

Yannis, George, Angeliki Kopsacheili, Anastasios Dragomanovits, and Virginia Petraki. 2020. ‘State-of-the-Art Review on Multi-Criteria Decision-Making in the Transport Sector’. Journal of Traffic and Transportation Engineering (English Edition) 7 (4): 413–31. https://doi.org/10.1016/j.jtte.2020.05.005.

Diterbitkan

2024-04-01

Cara Mengutip

“Prediksi Potensi Deviasi Pola Ruang Kawasan Permukiman Berbasis Cellular Automata Di Kecamatan Mapanget, Kota Manado”. 2024. ARTEKS : Jurnal Teknik Arsitektur 9 (1): 47-58. https://doi.org/10.30822/arteks.v9i1.2655.

Artikel paling banyak dibaca berdasarkan penulis yang sama