Analysis of Land Use Suitability Towards Detailed Spatial Plan (Case Study: Kuta Selatan District, Badung Regency, Bali)
M. Abdul Basyid1, Didiek Setiadi Ulumddin2*
1,2Department of Geodetic Engineering, Bandung National Institute of Technology, Indonesia
*Corresponding email: didiek.dsu@gmail.com
Received: October 10, 2022 Accepted: Jan 5, 2023
Abstract
South Kuta District is located in the south of Badung Regency, precisely at 8º46'58.7" latitude and 115º05'00"-115º10'41.3" east longitude, at an altitude of 0-200 meters above sea level. South Kuta District administratively consists of Pecatu Village, Ungasan Village, Kutuh Village, Benoa Village, Jimbaran Village, and Tanjung Benoa Village, the existing Village is further divided into 62 banjars or neighborhoods. The development of the South Kuta District must be balanced with the supervision of space utilization so that space utilization remains balanced. Hence, it is necessary to monitor the Geographic Information System (GIS) related to land use against the current RDTR plan. The methodology in this study includes SHP data collection, map overlays, map layouts to make spatial pattern maps, land use maps, and land suitability maps. This research was conducted in South Kuta District, Badung Regency, Bali. In this study, the land use map uses the results of overlaying SHP data from the administration of the South Kuta District, the South Kuta District Administration, and the RDTR of the South Kuta District in 2018. From this research, the largest zone in South Kuta is the tourism zone with an area of 3123,429494 Ha and the largest land use is in Kuta. South is mixed use with an area of 1100.442 Ha with suitable land ie 9817.426 Ha and unsuitable land, namely 325,186 Ha.
Keywords: south kuta, suitability, land, GIS, land, overlay, SHP
Abstrak
Kecamatan Kuta Selatan terletak di selatan Kabupaten Badung tepatnya pada 8º46’58.7” LS dan 115º05’00”-115º10’41.3” BT, berada pada ketinggian 0-200 meter di atas permukaan laut. Kecamatan Kuta Selatan secara administratif terdiri dari 6 desa dan Kelurahan, Kemudian Kelurahan yang ada dibagi lagi menjadi 62 banjar atau lingkungan, Perkembangan Kecamatan Kuta Selatan harus diimbangi dengan pengawasan pemanfaatan ruang agar pemanfaatan ruang tetap seimbang. Sehingga perlu dilakukannya monitoring Sistem Informasi Geografis (SIG) terkait penggunaan tanah terhadap rencana RDTR pada saat ini, Metodologi pada penelitian ini meliputi pengumpulan data SHP, overlay peta, layout peta hingga pembuatan peta pola tata ruang, peta penggunaan lahan dan peta kesesuaian lahan. Penelitian ini dilakukan di Kecamatan Kuta Selatan, Kabupaten Badung, Bali. Dalam penelitian ini peta penggunaan tanah menggunakan hasil overlay data SHP administrasi Kecamatan Kuta Selatan, administrasi Kecamatan Kuta Selatan dan RDTR Kecamatan Kuta Selatan Tahun 2018. Dari penelitian ini diperoleh zona terbesar di Kuta Selatan adalah zona pariwisata dengan luas 3123.429494 Ha dan penggunaan lahan terbesar di Kuta Selatan adalah penggunaan campuran dengan luas 1100.442 Ha dengan lahan yang sesuai yaitu 9817.426 Ha dan yang tidak sesuai yaitu 325.186 Ha.
Kata Kunci: kuta selatan, kesesuaian, lahan, SIG, tanah, overlay, SHP
1. Introduction
The land is a very important need for human life both now and in the future. The land has a fixed amount so that if the population increases, the demand for the land will increase [1]. South Kuta District is geographically located in the south of Badung Regency, precisely at 8º46'58.7" latitude and 115º05'00"- 115º10'41.3" east longitude, at an altitude of 0-200 meters above sea level. [2] A geographic Information System is an information system designed to manage data relating to geographic or spatial coordinates.12 [3] Geographic Information System (GIS) is a system of software and hardware, data, people, organizations, and institutions that collect and provide inference analysis of information covering areas on the earth.14 [4]
South Kuta is one of the sub-districts that has the potential for physical and non-physical development.
Physical development in question, namely the growth of built-up land in the research area [5]. The development of South Kuta District which is emphasized in this research is physical development. The
development of the South Kuta District must be balanced with the supervision of space utilization so that space utilization remains balanced [6]. So, it is necessary to monitor the Geographic Information System (GIS) related to land use against the current RDTR plan, which will later be very useful for the National Land Agency and the Highways and Spatial Planning Office.[7]
2. Research Method Research Sites
Research Location The final project is in South Kuta District, Badung Regency, Bali. It is bordered to the north by Kuta District, and to the south, east, and west by the Indian Ocean. The research location is shown in Figure 1.
Figure 1. Research Sites Source: Geoogle Maps, 2022 Research Data Source
Analysis of land use in this detailed spatial plan, the data source used comes from the Land Office of ATR/BPN Badung Regency, Bali as the database holder. Sources of Research Data can be seen in Table 1.
Table 1. Research data sources
No Data Type Format Source Year
Spasial Data 1. South Kuta District Land
Use Map .shp
Land Office ATR/BPN
Badung Regency 2021
2. South Kuta District Administrative Boundary Map
.shp
Ina-Geoportal Geospatial
Information Agency 2022 3. South Kuta District RDTR
Map .shp
Land Office ATR/BPN
Badung Regency 2018
Source: Land Office ATR/BPN Badung Regency, 2022 Research Equipment
No. Device Description
• VGA Intel HD Graphics 620
• 13.3 inch FHD touchscreen
• Thickness 14.95mm
• Weight 1.2kg
• Passed MIL-STD 810G military test Software
2. ArcGIS 10.3 Used for the process of spatial analysis and layouting. ArcGIS 10.3 has software specifications that can be used on various types of laptops that have a standard 8GB RAM.
3. Microsoft Excel 2019 Used for tabular data analysis of the results of data processing and data processing of the percentage of land area.
Source: www.jakartanotebook.com Research Implementation Flow
There are several stages carried out in the analysis of the suitability of land use against the detailed spatial plan. The first stage is data collection. There are 3 main data that must be prepared, namely data on SHP for Land Use in South Kuta District in 2021, SHP for Administrative Boundaries for South Kuta District, and SHP for RDTR in South Kuta District in 2018. If the data has been collected, the second stage is carrying out the overlay process. This second process overlays between SHP Land Use and SHP RDTR to get the results of soil suitability. After overlaying, the next step is to analyze the results of soil suitability data, then classify them into two types of soil suitability, namely appropriate and inappropriate. The next stage is to lay out the Conformity Map in accordance with cartographic rules.
Figure 2. Research methodology
3. Results and Analysis Spatial Detailed Plan Map
The distribution of spatial zones in South Kuta District is divided into several land use criteria. The results of data processing in the form of a Detailed Spatial Plan Map can be seen in Figure 3.
Figure 3. Detailed spatial plan map Source: Data processing, 2022
A comparison of zone classification in South Kuta District based on zone type is presented in Table 3.
Table 3. South Kuta District spatial zone comparison
No. Designation Zone Large
(Ha)
Percentage (%)
1. Tourism Zone 3123,0 0,3 %
2. Higher Education Zone 12,0 0,0 %
3. Trade and Service Zone 448,0 0,0 %
4. Office Zone 1,5 0,0 %
5. Local Protected Zone 790,0 0,1 %
6. Agricultural Zone 1437,0 0,2 %
7. Residential Zone 3318,0 0,4 %
8. Special Designated Zone 0,3 0,0 %
9. Other Designated Zone 0,8 0,0 %
10. Green Open Space Zone (RTH) 29,0 0,0 % Source: Data processing, 2022
Land Use Map
The distribution of land use in South Kuta District is divided into several land ownership criteria. The results of data processing in the form of a land use map can be seen in Figure 4.
A comparison of the classification of land parcels in South Kuta District based on land use is presented in Table 4.
Table 4. Comparison of classification of land ownership in South Kuta District
No. Use Large (Ha) Percentage (%)
1. Special Entertainment 7,56 0,08%
2. Hotel/Motel/ Lodging 835,49 9,26%
3. Forest 402,38 4,46%
4. Electrical installation 0,88 0,01%
5. Solid Village 2191,09 24,27%
6. Street 13,67 0,15%
7. Private Office 11,45 0,13%
8. Government Offices/Agencies 4,08 0,05%
9. Garden 36,05 0,40%
10. Pond/Pond 17,48 0,19%
11. Public Cemetery 6,35 0,07%
12. Golf Course 184,70 2,05%
13. Middle education 4,82 0,05%
14. Mixed Use 4512,86 49,99%
15. shops 3,01 0,03%
16. Solid Housing 156,21 1,73%
17. Restaurant/Restaurant/Cafe 26,76 0,30%
18. General Hospital 7,94 0,09%
19. Vacant Land Not Yet Designated 209,68 2,32%
20. Empty Land Already Allotted 208,03 2,30%
21. Recreation areas 94,70 1,05%
22. Sports field 4,90 0,05%
23. Mosque 1,63 0,02%
24. Traditional market 3,39 0,04%
25. basic education 2,51 0,03%
26. Special Education 2,05 0,02%
27. General Workshop 0,49 0,01%
28. Open Warehousing 0,53 0,01%
29. College 49,09 0,54%
30. Temple 2,64 0,03%
31. Public health center 0,12 0,00%
32. River 8,70 0,10%
33. Parking lot 2,38 0,03%
34. Non-Bank Financial Institution 1,05 0,01%
35. Rare Housing 11,59 0,13%
36. Middle education 0,52 0,01%
Source: Data processing, 2022 Land Use Suitability Map
Soil suitability in South Kuta District is divided into two criteria for soil suitability. The conformity assessment is based on the criteria set out in the Regional Regulation no. 7 of 2018 concerning the Detailed Spatial Planning of the South Kuta District, the results of data processing in the form of a Land Use Suitability Map can be seen in Figure 5.
Figure 5. Land Suitability Map Source: Data processing, 2022
The details of the comparison of land use in South Kuta District based on the type of land suitability are presented in Table 5.
Table 5. Land use suitability
No. Land Use In Accordance
(Ha)
Percentage (%)
It Is Not in Accordance
With (Ha)
Percentage (%)
1. Special Entertainment 7.6 100.0 0 0.00
2. Hotels/Motels/Inns 693.9 83.1 141.6 16.95
3. Forest 402.4 100.0 0 0.00
4. Electrical installation 0.9 100.0 0 0.00
5. Solid Village 2047.6 93.5 143.5 6.55
6. Street 13.7 100.0 0 0.00
7. Private Office 11.5 100.0 0 0.00
8. Government
Offices/Agencies 4.1 100.0 0
0.00
9. Garden 34.7 96.1 1.3 3.60
10. Pond/Pond 17.5 100.0 0 0.00
11. Public Cemetery 6.4 100.0 0 0.00
12. Golf Course 182.9 99.0 1.8 0.97
13. Middle education 4.8 100.0 0 0.00
14. Mixed Use 4512.9 100.0 0 0.00
15. shops 2.9 96.7 0.1 3.33
16. Solid Housing 151.4 96.9 5.4 3.46
17. Restaurant/Restaurant/Cafe 23.1 86.2 3.6 13.43
18. General Hospital 7.9 100.0 0 0.00
19. Vacant Land Not Yet
Designated 209.7 100.0 0
0.00 Empty Land Already
No. Land Use In Accordance (Ha)
Percentage (%)
It Is Not in Accordance
With (Ha)
Percentage (%)
32. River 8.7 100.0 0 0.00
33. Parking lot 2.4 100.0 0 0.00
34. Non-Bank Financial
Institution 1 90.9 0
0.00
35. Rare Housing 11.6 100.0 0 0.00
36. Middle education 0.5 100.0 0 0.00
Source: Data processing, 2022
While the comparison of the classification of land parcels in South Kuta District based on the type of land suitability is presented in Table 6.
Table 6. Comparison of land suitability of South Kuta District Suitability (Total Land = 10143 Ha)
in accordance it is not in accordance with
Large (Ha) 9817 325
Percentage 97% 3%
Source: Data processing
Based on the results of data analysis, it was obtained that the suitability and non-conformity data were based on use. The largest land suitability was in mixed use with an area of 4512.9 Ha and a percentage of 51.89%. 0.01%. Meanwhile, the largest discrepancy is in villages with an area of 143.5 ha and a percentage of 44.20%, followed by the use of hotels/motels/lodging with an area of 141.6 ha and a percentage of 43.5%. The discrepancy between dense villages and hotels/motels/lodging is mostly due to the use being in horticultural agricultural zones, gorge/beach/river borders, green open spaces and grand forest lands.
4. Conclusion and Recommendations
The widest zone in South Kuta is the Tourism Zone with an area of 3123 Ha, The largest land use in South Kuta is Mixed Use with a usage percentage of 49.99% and the biggest gap is in the use of Solid Villages covering an area of 143.5 Ha with a percentage of 44.20% followed by the use of Hotel/Motel/Inn covering an area of 141.6 hectares with a percentage of 43.5%.
Land that is suitable for RDTR is 9817 Ha with a percentage of suitability of 97% and that is not suitable for an area of 325 Ha with a percentage of non-compliance of 3%. The gaps that exist in each utilization are found in various zones, namely higher education zones, local protection zones, agricultural zones, green open space zones, public service facilities zones and zones of nature reserves and cultural heritage which are divided into each village. The biggest disparity is in the Jimbaran village with an area of 92 Ha with a percentage of 28.3%, followed by the Benoa village with an area of 81 Ha with a percentage of 24.9%.
After the research process has been carried out, there are several suggestion to improve next research, Future research is expected to be able to carry out research by adding more samples because land use data is not always updated every year, so it is necessary to do sampling in order to increase the accuracy of data processing. Based on the discrepancy data, there are irregularities in the use of land for tourism purposes such as hotels/motels/inns, and in the use of solid village land, so it is hoped that in future research further studies can be carried out related to the results of the mismatch of land use against the RDTR, also Because point and line data analysis was not carried out, there were no results related to point and line data, so further research is expected to be able to conduct research based on point and line data so as to improve the accuracy of the analysis process.
5. References
[1] S. Y. Adiyanti, “Perencanaan Tata Ruang sebagai Upaya Mewujudkan Pembangunan Kota Berkelanjutan (Studi Analisis Rencana Tata Ruang Wilayah Kota Mojokerto),” JIAP, Vol. 6 No. 1, pp. 108-117, 2020.
[2] Alfari. Danar Madya, "Analisis Perubahan Penggunaan Lahan Kecamatan Sewon Kabupaten Bantul Tahun 2006 dan 2014 Berdasarkan Citra Quickbird", Program Studi Geografi, Universitas
[3] Badan Pusat Statistik, Kecamatan Kuta Selatan Dalam Angka 2020. Badung: BPS Kabupaten Badung, 2020.
[4] L. D. Andi, P. A. Novia, and P. H. Wahyu, "Kesesuaian Penggunaan Lahan Terhadap Rencana Tata Ruang Wilayah Kabupaten Pringsewu (Studi Kasus: Kecamatan Pringsewu, Kecamatan Ambarawa, Dan Kecamatan Pagelaran)," Jurnal Pertanahan, Vol. 2 No. 2, pp. 165-173, 2021.
[5] R. Nirmala, "Kesesuaian Penggunaan Lahan Dengan Pola Ruang di Daerah Aliran Sungai Bialo", Program Studi Kehutanan, Fakultas Kehutanan, Universitas Hasanuddin, Makassar, pp. 3-14, 2019.
[6] Beta, A.A, "Perencanaan Tata Ruang Wilayah Bagi Kesejahteraan di Indonesia", Fakultas Ekonomi, Universitas Pasir Pengaraian, Ilmiah Cano Ekonomis, Vol. 6 No. 1, pp. 1-6 2017.
[7] Darmawan. K, Hani'ah and Suprayogi. A, "Analisis Tingkat Kerawanan Banjir di Kabupaten Sampang Menggunakan Metode Overlay Dengan Scoring Berbasis Sistem Informasi Geografis", Program Studi Teknik Geodesi Fakultas Teknik Universitas Diponegoro, Semarang, Jurnal Geodesi Undip, Vol. 6 No. 1, pp. 31-39, 2017.
[8] Haurissa. D, Rondonuwu. M. D and Tilaar. S "Analisis Kesesuaian Pemanfaatan Lahan Terhadap Rencana Detail Tata Ruang Kawasan Perkotaan Merauke", Program Studi Perencanaan Wilayah dan Kota, Universitas Sam Ratulangi Manado, Jurnal Spasial, Vol. 6 No. 3, pp. 646-657, 2019.
[9] Larasati. M. N, Subiyanto. S, and Sukmono. A, "Analisis Penggunaan Dan Pemanfaatan Tanah (P2t) Menggunakan Sistem Informasi Geografis Kecamatan Banyumanik", Program Studi Teknik Geodesi, Fakultas Teknik Universitas Diponegoro, Semarang, Jurnal Geodesi Undip, Vol. 6 No. 4, pp. 89-96, 2017.
[10] Liliyani, Pertiwi. Nugroho, Tanjung. Andari, and Dwi Wulan Titik. "Inventarisasi Penguasaan, Pemilikan, Penggunaan Dan Pemanfaatan Tanah (IP4T) Partisipatif Di Kabupaten Madiun", Yogyakarta, Jurnal Tunas Agraria Vol. 3 No. 2, 2020.
[11] Paramarta. A. I. K, "Sistem Informasi Geografis Rencana Tata Ruang Wilayah (RTRW) Kabupaten Buleleng Berbasis Web", JANAPATI, Vol. 2, No. 3, pp. 243-253, 2013.
[12] Luthfina. W. A. M, Sudarsono. B, and Suprayogi. A, "Analisis kesesuaian Penggunaan Lahan Terhadap Rencana Tata Ruang Wilayah Tahun 2010-2030 Menggunakan Sistem Informasi Geografis Di Kecamatan Pati", Jurnal Geodesi Undip, Vol. 8 No. 1, pp. 74-81, 2019.
[13] Machsun. Ali, "Analisis Rencana Tata Ruang Wilayah (RTRW) Terhadap Kesesuaian Lahan Di Kecamatan Parung Panjang Tahun 2008-2015", Jurusan Pendidikan Ilmu Pengetahuan Sosial, Fakultas Ilmu Tarbiyah Dan Keguruan, Universitas Islam Negeri, Syarif Hidayatullah, Jakarta, pp.
10-40, 2018.
[14] Maru. Rosmini, Nasaruddin, Muhammad Ikhsan and Beatus M. Laka, "Perubahan Penggunaan Lahan Kota Makassar Tahun 1990-2010", Jurusan Geografi Fakultas Matematika dan Ilmu Pengetahuan Alam dan Program Pascasarjana, Universitas Negeri Makassar, 2015.
[15] Umar. I, Dewata. I, and Barlian. E, "Implementasi Rencana Tata Ruang Permukiman Dan Arahan Kebijakan Pembangunan Di Kabupaten Tanah Datar, Provinsi Sumatera Barat," Jurusan Geografi, Fakultas Ilmu Sosial, Universitas Negeri Padang, 2017.
[16] Saismana. U, Nurhakim, and Pratama. A. D, "Aplikasi Sistem Informasi Geografis (SIG) Untuk Monitoring Penggunaan Lahan Pt. XX Tahun 2017", Program Studi Teknik Pertambangan, Universitas Lambung Mangkurat, Jurnal GEOSAPTA, Vol. 4, No. 1, 2018.
