Land Use Prediction Using Markov – Cellular Automata in the Peusangan Watershed, Aceh
The population growth rate is a factor that causes changes in land use that impact land ecology due to increased population activities related to social, economic, and cultural aspects. Land use change aims to develop facilities and infrastructure to meet the population's needs. This research s...
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| Format: | Article |
| Language: | English |
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Syiah Kuala University
2022-12-01
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| Series: | Aceh International Journal of Science and Technology |
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| Online Access: | https://jurnal.usk.ac.id/AIJST/article/view/25804 |
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| author | Rini Fitri* Astrid Damayanti Nur Intan Simangunsong Munawir Munawir |
| author_facet | Rini Fitri* Astrid Damayanti Nur Intan Simangunsong Munawir Munawir |
| author_sort | Rini Fitri* |
| collection | DOAJ |
| description | The population growth rate is a factor that causes changes in land use that impact land ecology due to increased population activities related to social, economic, and cultural aspects. Land use change aims to develop facilities and infrastructure to meet the population's needs. This research seeks to interpret land-use changes in 1999, 2008, and 2019 and predict land use in the Peusangan watershed in 2030. The map overlay method analyzes land use change in 1999-2008, 2008-2019, and 2019-2030. In predicting land use, this study uses the Cellular Automata approach. The results of the analysis specifically show that the trend of land use change until 2030 is a decrease in the area of forest land use covering an area of 11,014 ha (4.27%), open land covering an area of 31 ha (0.01%), shrubs 6,083 ha (2.36%), and water bodies covering an area of 459 ha (0.18%). On the other hand, it is predicted that in 2030 the Peusangan watershed will see the most significant increase in land use for plantations of 14,225 ha (5.52%), followed by land use of 1,664 ha (0.65%), 817 ha (0.32%), settlements covering 710 ha (0.28%), 132 ha of rice fields (0.05%), and 28 ha of pond land use (0.01%). The results of this study are expected to be input for policymakers regarding land use planning in the Peusangan watershed in the future. |
| format | Article |
| id | doaj-art-dfaf532ef0bc4f9a85957b8b92c756dd |
| institution | Kabale University |
| issn | 2088-9860 |
| language | English |
| publishDate | 2022-12-01 |
| publisher | Syiah Kuala University |
| record_format | Article |
| series | Aceh International Journal of Science and Technology |
| spelling | doaj-art-dfaf532ef0bc4f9a85957b8b92c756dd2025-08-20T03:59:39ZengSyiah Kuala UniversityAceh International Journal of Science and Technology2088-98602022-12-0111319720910.13170/aijst.11.3.2580415340Land Use Prediction Using Markov – Cellular Automata in the Peusangan Watershed, AcehRini Fitri*0Astrid Damayanti1Nur Intan Simangunsong2Munawir Munawir3Universitas TrisaktiUniversitas IndonesiaUniversitas TrisaktiUniversitas Teknologi SulawesiThe population growth rate is a factor that causes changes in land use that impact land ecology due to increased population activities related to social, economic, and cultural aspects. Land use change aims to develop facilities and infrastructure to meet the population's needs. This research seeks to interpret land-use changes in 1999, 2008, and 2019 and predict land use in the Peusangan watershed in 2030. The map overlay method analyzes land use change in 1999-2008, 2008-2019, and 2019-2030. In predicting land use, this study uses the Cellular Automata approach. The results of the analysis specifically show that the trend of land use change until 2030 is a decrease in the area of forest land use covering an area of 11,014 ha (4.27%), open land covering an area of 31 ha (0.01%), shrubs 6,083 ha (2.36%), and water bodies covering an area of 459 ha (0.18%). On the other hand, it is predicted that in 2030 the Peusangan watershed will see the most significant increase in land use for plantations of 14,225 ha (5.52%), followed by land use of 1,664 ha (0.65%), 817 ha (0.32%), settlements covering 710 ha (0.28%), 132 ha of rice fields (0.05%), and 28 ha of pond land use (0.01%). The results of this study are expected to be input for policymakers regarding land use planning in the Peusangan watershed in the future.https://jurnal.usk.ac.id/AIJST/article/view/25804cellular automata, land use, peusangan watershed. |
| spellingShingle | Rini Fitri* Astrid Damayanti Nur Intan Simangunsong Munawir Munawir Land Use Prediction Using Markov – Cellular Automata in the Peusangan Watershed, Aceh Aceh International Journal of Science and Technology cellular automata, land use, peusangan watershed. |
| title | Land Use Prediction Using Markov – Cellular Automata in the Peusangan Watershed, Aceh |
| title_full | Land Use Prediction Using Markov – Cellular Automata in the Peusangan Watershed, Aceh |
| title_fullStr | Land Use Prediction Using Markov – Cellular Automata in the Peusangan Watershed, Aceh |
| title_full_unstemmed | Land Use Prediction Using Markov – Cellular Automata in the Peusangan Watershed, Aceh |
| title_short | Land Use Prediction Using Markov – Cellular Automata in the Peusangan Watershed, Aceh |
| title_sort | land use prediction using markov cellular automata in the peusangan watershed aceh |
| topic | cellular automata, land use, peusangan watershed. |
| url | https://jurnal.usk.ac.id/AIJST/article/view/25804 |
| work_keys_str_mv | AT rinifitri landusepredictionusingmarkovcellularautomatainthepeusanganwatershedaceh AT astriddamayanti landusepredictionusingmarkovcellularautomatainthepeusanganwatershedaceh AT nurintansimangunsong landusepredictionusingmarkovcellularautomatainthepeusanganwatershedaceh AT munawirmunawir landusepredictionusingmarkovcellularautomatainthepeusanganwatershedaceh |