Table 15 Development plantation area Sub District
Development Plantation Area Ha
Percentage Sungai Lilin
62,246.37 20.30
Sungai Keruh 9,622.26
3.13 Sekayu
56,466.3 18.4
Plakat Tinggi 1,987.58
0.64 Lais
45,198.52 14.74
Keluang 33,312.03
10.86 Batang Hari Leko
360,18 0.11
Babat Toman 5,386.06
1.75 Bayung Lalan
33,475.37 10.91
Bayung Lencir 58,558.68
19.10 Grand Total
306,612.42 100
Table 15 shows the area of oil palm plantation development which has the greatest area of 62,246.37 ha or 20.30 of the total suitability class S1 is located
in Sungai Lilin sub-district, and area of 58,558.68 ha or 19.10 are located in Bayung Lencir sub-district, while for the third priority lies in Sekayu sub-district
with area that has the potential of 56,466.3 ha or 18.4 of the total suitability class S1.
V. CONCLUSIONS AND RECOMMENDATIONS
5.1. Conclusions
• Geographic Information System GIS analysis using Spatial Multi Criteria Evaluation SMCE in finding the best location for oil palm plantation
succeeded to choose Sungai Lilin Sub-District as the best location for oil palm development. Sungai Lilin Sub-District has the total suitability area of
62,246.37 Ha or 20.30 of Musi Banyuasin regency area. • Based on the calculation area and percentage of suitability map and existing
oil palm plantation indicated that area Highly Suitable S1 for development plantation area is 306,612.42 ha or 21,23 of Musi Banyuasin regency and
for the existing plantation area is 223,699.66 ha or 15,49. Existing plantation do not follow exactly generated suitability classes, most of them
situated nearby road and river. Therefore road and river must be given higher weighting criteria for suitability classification.
5.2. Recommendation
• Information about land suitability area can be used by local government in making a map of spatial plans and for the investors or farmers to determine
which areas could be suitable for oil palm plantation. • Productivity of existing plantation in S1, S2 and S3 class should be compared
based on fresh bunches fruit data in the field. • To obtain accurate results in the spatial analysis, data used must be have more
detailed scale such as the map scale 1: 25,000.
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