97 research outputs found

    Arahan Pengembangan Lahan Potensial untuk Tambak Garam di Pesisir Kabupaten Rembang

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    Rembang Regency is one of the national salt production centers that potentially can be increased its salt production. This study was aimed to guide potential land development for salt ponds on the Rembang Regency coast. The overlay method between land suitability maps for salt ponds, land use maps, and Regional Spatial Plan (RTRW) maps of Rembang Regency was be used to analyze potential areas for salt pond development. The results showed that the coastal area of Rembang Regency, which had a land suitability class of S1 was 10,325 hectares, a land with suitability class S2 area was 5,687 hectares, and land with suitability class S3 was 2,471 hectares, while the not suitable area for salt ponds (N) was 17,813 hectares. The total land available for the salt ponds development was 3,560 hectares. Based on the economic analysis results, it was known that the salt production business carried out on the land with suitability classes S1, S2, and S3 will get profit. Potentially land for development of salt ponds, which in line with the RTRW was 2,484 hectares. The utilization of Rembang Regency coastland for salt production enhancement was directed into three categories. The first was land that needed to be maintained its productivity covered an area of 1,366 hectares. The second was land that could be used for extensification covered an area of 931 hectares. The last was land that needed to be intensified covered an area of 187 hectares

    Landslide Hazard Mapping based on GIS Univariate Statistical Classification: Case Study of Ciawi-Puncak-Pacet Regions, West Java

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    Regarding environmental degradation in Puncak and its surrounding area due to the rapid landuse changes during 1981-1994, some mitigation schemes for soil erosion have been implemented but landslides. Data on landslide and its causative factors (landuse, soil, geology, slope, climate, and terrain mapping unit) and their relationships in the area are still not available. The objective of this research is to develop the method and procedures to map landslide hazards by using GIS (Geographical Information System) univariate-statistical analysis applied to the area as a case study. For this purpose, three methods to classify and to map landslide hazards were evaluated. They were respectively developed by considering: (a) unweighted density total number of the landslide, Method#1, (b) density total number, weighting value, and age of landslide, Method#2, and (c) density total number, weighting value, age, and activity level of the landslide, Method#3. The density number is counted by overlying· each of the landslide maps and each of the causative factors maps used, and from this step, the weighting value is derived. The resulting density number of landslide given as a cumulative percentage and the corresponding weighting value were then plotted on an X-Y graph. From the graph, the level of landslide hazard is classified by applying: (1) standard classification procedure as the default statistical analysis given by the software used, and (2) natural classification procedure as it based on the nature of the curve slope of the cummulative graphic. The result given by the three methods were varied but in general, they gave landslide hazard maps with a similar pattern in which the very high and very low hazard levels in the study area increased during the period of 1981-1994. Of the three methods, applying the natural classification gave a better result than that of the standard classification procedure. Method#2 and Method#3 were better than Method#1 in predicting the future landslide occurrence. Apparently, Method#3 should show the best result but the effect of conversion from raster to vector data in GIS significantly reduced the quality of the resulting map.Regarding environmental degradation in Puncak and its surrounding area due to the rapid landuse changes during 1981-1994, some mitigation schemes for soil erosion have been implemented but landslides. Data on landslide and its causative factors (landuse, soil, geology, slope, climate, and terrain mapping unit) and their relationships in the area are still not available. The objective of this research is to develop the method and procedures to map landslide hazards by using GIS (Geographical Information System) univariate-statistical analysis applied to the area as a case study. For this purpose, three methods to classify and to map landslide hazards were evaluated. They were respectively developed by considering: (a) unweighted density total number of the landslide, Method#1, (b) density total number, weighting value, and age of landslide, Method#2, and (c) density total number, weighting value, age, and activity level of the landslide, Method#3. The density number is counted by overlying· each of the landslide maps and each of the causative factors maps used, and from this step, the weighting value is derived. The resulting density number of landslide given as a cumulative percentage and the corresponding weighting value were then plotted on an X-Y graph. From the graph, the level of landslide hazard is classified by applying: (1) standard classification procedure as the default statistical analysis given by the software used, and (2) natural classification procedure as it based on the nature of the curve slope of the cummulative graphic. The result given by the three methods were varied but in general, they gave landslide hazard maps with a similar pattern in which the very high and very low hazard levels in the study area increased during the period of 1981-1994. Of the three methods, applying the natural classification gave a better result than that of the standard classification procedure. Method#2 and Method#3 were better than Method#1 in predicting the future landslide occurrence. Apparently, Method#3 should show the best result but the effect of conversion from raster to vector data in GIS significantly reduced the quality of the resulting map

    Development of Land Capacity Status for Labour Absorption in Horticulture Area Using Geographic Information System, A Case Study in Samarang Subdistrict, Garut, West Java

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    An index for labor absorption capacity of an agricultural cropping system requires worker number from direct activities and non-direct activities in a field The number of workers from direct activities can be generated from landmanagement (ploughing, fertilization, weeding, etc), meanwhile, the number of workers from non-direct activities such as transportation of manure and product, has to include a distance effect. A distance of a farm from a collection point, where agricultural facilities distributed, contributes to the number of workers required for carrying such products or fertilizers.To calculate a distant effect to absorption capacity is hampered by difficulty in measuring of farm distance in a field,which implies it is rarely found such proper data in producing a labor absorption capacity. GIS as a spatial technology has the capability to produce such as distance effect. This research demonstrated the use of GIS in producing labor absorption capacity index and map of status labor absorption in Samarang sub-district, where several intensive agricultural activities such as paddy, vegetable and perfume grass crops were found The map could be used to understand indirectly the economic situation of the area. Keywords: Cropping system, distance, GIS, labor absorption capacity, Samarang sub-districtAn index for labor absorption capacity of an agricultural cropping system requires worker number from direct activities and non-direct activities in a field The number of workers from direct activities can be generated from landmanagement (ploughing, fertilization, weeding, etc), meanwhile, the number of workers from non-direct activities such as transportation of manure and product, has to include a distance effect. A distance of a farm from a collection point, where agricultural facilities distributed, contributes to the number of workers required for carrying such products or fertilizers.To calculate a distant effect to absorption capacity is hampered by difficulty in measuring of farm distance in a field,which implies it is rarely found such proper data in producing a labor absorption capacity. GIS as a spatial technology has the capability to produce such as distance effect. This research demonstrated the use of GIS in producing labor absorption capacity index and map of status labor absorption in Samarang sub-district, where several intensive agricultural activities such as paddy, vegetable and perfume grass crops were found The map could be used to understand indirectly the economic situation of the area. Keywords: Cropping system, distance, GIS, labor absorption capacity, Samarang sub-distric

    Analisis Penggunaan Lahan Budidaya Ikan di Kawasan Minapolitan Kabupaten Bogor, Jawa Barat

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    Kawasan minapolitan Kabupaten Bogor di Kecamatan Ciseeng, Parung, Gunung Sindur, dan Kemang telah berkontribusi terhadap produksi ikan nasional dan perekonomian daerah. Meskipun demikian, kawasan ini juga mengalami tekanan karena letaknya yang berada di sekitar DKI Jakarta yang semakin berkembang dan semakin meningkatnya kebutuhan lahan untuk permukiman dan pendukungnya. Upaya menjaga produksi ikan di kawasan minapolitan dilakukan dengan menggunakan lahan budidaya yang lebih efisien pada lahan budidaya yang memenuhi syarat karakteristik lahan untuk budidaya ikan dan selaras terhadap RTRW Kabupaten Bogor tahun 2016-2036. Skenario penggunaan lahan tahun 2028 yang terbaik adalah dengan mengimplementasikan peraturan RTRW secara moderat, dimana penggunaan lahan di kawasan perkotaan diutamakan pada permukiman, namun masih diperbolehkan untuk lahan budidaya ikan.  Skenario ini masih memberikan waktu penyesuaian pembudidaya untuk alih teknologi jika kegiatan budidaya ikan tetap dilakukan di kawasan permukiman. Kegiatan budidaya ikan di kawasan permukiman (urban agriculture) dapat memperpendek rantai distribusi pemasaran, sehingga lebih efisien

    Institutional Hierarchy of Flood Mitigation for Settlement Areas in Padang, West Sumatera, Indonesia

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    Indonesia is a wet tropical climate region and so that it has rainfall intensity almost throughout the year. The consequence is some region in Indonesia have risked of flood disaster. Flood makes huge impacts and damages so the institutional hierarchy of flood disaster mitigation at settlement area turn into an important thing. For defining institutional hierarchy , this research is using Interpretative Structural Modelling (ISM) method. Used element to organize institutional hierarchy of flood disaster mitigation  are stakeholders and obstacles. Analysis result on institutional of flood disaster mitigation shows sub elements such as local government, province, and central government have role as key element on stakeholder elements, and a key element of obstacles element is because of the weakness of law enforcement for spatial violation. Keywords: organize institutional hierarchy, obstacles element , and stakeholder elements

    Ancaman Konversi Lahan Sawah Terhadap Kecukupan Beras di Kabupaten Musi Rawas

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    Rice production in 2019 decreased by 2.63 million tons or 7.75 percent compared to 2018, exacerbated by the increasingly massive conversion of agricultural land. One of the areas threatened by land conversion is Musi Rawas Regency in South Sumatra Province. This study aims to analyze changes in land use in 2000, 2010, 2020 and paddy fields for rice sufficiency in Musi Rawas Regency. The method used is Cellular Automata-Markov (CA-Markov), analysis of the surplus-deficit food balance, and paddy fields overlaying the spatial plan. Based on the results of the analysis, there was a change in land use in Musi Rawas Regency between 2000 to 2020, an increase in the area of plantation land by 128,867.74 ha. This increase is largely the result of conversion of paddy fields. The results of the calculation of the predicted demand for rice in 2030 show that in total there will be a rice deficit of -16,511 tons. It is predicted that there will be a rice deficit due to the decrease in the area of paddy fields which is affected by changes in land use from paddy fields to non-paddy fields. The suitability of existing paddy fields with the 2010 to 2030 RTRW shows an area of 7,598.73 ha of actual paddy fields in 2020 is suitable, 3,057.27 ha is not suitable. The incompatibility of paddy fields in 2020 with the RTRW can be input into the revision of the RTRW that will be carried out by the Musi Rawas Regency government, especially on the spatial pattern of paddy fields

    Karakter Spasial dan Pengembangan Usaha Sarang Burung Walet di Jakarta Utara

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    Business unit of swallow's birdnest has great potential for economic activity because almost95% of Indonesian swallow's nest is exported. One of the efforts to develop a business is to carryout spatial analysis and production functions. This is necessary to determine the feasibility of aparticular system location and variables that affect a business. This study aims to determine thespatial character of the distribution of business units and several variables that influence theproduction process to develop this business. Analysis of spatial pattern of swallow's nest businessis done by using Average Nearest Neighbor (ANN). Income Analysis is done by calculating thedifference between receipts and costs. Production function analysis is done by using NormalityTest, Multicollinearity Test, Autocorrelation Test, and Heteroscedastic Test. The results showedthat the distribution of swallow's nest business units in North Jakarta was clustered, which wasonly found in 3 sub-districts i.e. Penjaringan, Tanjung Priok and Cilincing. The pattern showedthat the swallow’s nest business unit is profitable for business actors, it can attract the interest ofthe community and make competition more competitive. Production function are influenced by rawmaterials, water filter equipment, and electricity costs. Efforts to develop by reviewing thelicencing of the Swallow’s Birdnest Business units in North Jakarta, thus it remains in accordancewith the city spatial design plan and government policies

    Zona Pengembangan Usaha Mikro Kecil dan Menengah (UMKM) Pengolah Makanan di Kota Bekasi: The Development of Food Processing Centers for Micro, Small and Medium Enterprises (MSMEs) Zone in Bekasi City

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    Micro, Small and Medium Enterprises (MSMEs) have very significant contribution to the growth and development of the economy of Bekasi City with a total of approximately 203,000 units. The large number of food processing MSMEs in Bekasi City has not been accompanied by the formation of a spatially integrated MSMEs center zoning. This research aims to understand the spatial distribution and the determination of the zones of food processing MSMEs in Bekasi City. The research was conducted in Bekasi City during February-August 2019. Data were obtained through data tracing from related agencies, field observations, and interviews with experts. Analytical methods include Analytical Hierarchy Process (AHP) to determine the weight of each parameter, and Multi Criteria Evaluation (MCE) for determining development centers. Analysis shows that the number of selected MSMEs was 220 samples, with the highest number of MSMEs in Pondok Gede District. Food processing MSME development zones in Bekasi City are divided into three development zones, namely development zone 1, development zone 2, and development zone 3. Development zone 1 and development zone 2 are the best zones located in West Bekasi District, Jatiasih District, and Jatisampurna District. Development Zone 2 consists of North Bekasi District, Medan Satria District, Pondok Gede District, and Pondok Melati District because the two zones are adjacent to Jakarta City. Meanwhile, development zone 3 should receive special attention, consisting of Bantar Gebang District, South Bekasi District, East Bekasi District, Mustika Jaya District, and Rawalumbu District

    Delineation of Flood Hazard Zones by Using a Multi Criteria Evaluation Approach in Padang West Sumatera Indonesia

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    In Indonesia flood disasters constitute natural disasters that often occur and have resulted in substantial losses to human life. Mitigation is the important measure to determine hazard flood zones. To determine the weight and rate, the Analysis Hierarchy Process (AHP), Geographical Information System (GIS) are used for overlay analysis. Upon assessment by experts, the research findings reveal that elevation is the highest weight, that is 24%; flood frequency is the lowest weight, that is 7,4%. Further, the analysis result on the flood hazard level in the research area, based on the hazard level class, reveals as follows: a) an area of 8,351.6 ha (12%) includes the high hazard zone; b) an area of 11,378.7 ha (16%) is the moderate hazard zone; and c) an area of 49,738.8 ha (72%) is the low hazard zone. Key words: delineation, harzad flood area, mitigation

    Analysis of tourism potential and the community perception in buffer village to support tourism development of Alas Purwo National Park

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    The current sustainable development that the Indonesian government is paying attention to is the development of the tourism sector, one of which is establishing the Alas Purwo National Park (TNAP) as a National Tourism Development Area (KPPN). The determination of the TNAP area as a tourist attraction at the national level opens opportunities and a driving force for the TNAP buffer villages to become a development target that focuses on community empowerment and regional development based on regional resource potential. This study aims to analyze the potential objects and tourist attractions in the TNAP buffer village and to find out the perception and readiness of the community towards tourism development in the buffer village. The results of the analysis show that the TNAP buffer village has potential resources that are feasible to be developed as tourist objects and attractions. There are villages that have ODTW potential, including 3 villages with very potential (SP), 1 village potential (P), 4 villages with less potential (KP), and 4 villages that do not have ODTW potential. Tourism development must provide space for people around tourist objects to participate in tourism. The results of the assessment of the perceptions and readiness of the TNAP village community for tourism development illustrate that the community agrees with tourism development in the village. Communities involved in tourism development can respond positively in supporting tourism development activities.The current sustainable development that the Indonesian government is paying attention to is the development of the tourism sector, one of which is establishing the Alas Purwo National Park (TNAP) as a National Tourism Development Area (KPPN). The determination of the TNAP area as a tourist attraction at the national level opens opportunities and a driving force for the TNAP buffer villages to become a development target that focuses on community empowerment and regional development based on regional resource potential. This study aims to analyze the potential objects and tourist attractions in the TNAP buffer village and to find out the perception and readiness of the community towards tourism development in the buffer village. The results of the analysis show that the TNAP buffer village has potential resources that are feasible to be developed as tourist objects and attractions. There are villages that have ODTW potential, including 3 villages with very potential (SP), 1 village potential (P), 4 villages with less potential (KP), and 4 villages that do not have ODTW potential. Tourism development must provide space for people around tourist objects to participate in tourism. The results of the assessment of the perceptions and readiness of the TNAP village community for tourism development illustrate that the community agrees with tourism development in the village. Communities involved in tourism development can respond positively in supporting tourism development activities
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