Analisis Spasial Potensi Ekonomi dengan Fuzzy Overlay di Sekitar Bandara Internasional Jawa Barat

Rachmita, Nurina; Tambunan, Mangapul Parlindungan; Manessa, Masita Dwi Mandini; Tambunan, Rudy Parluhutan

doi:10.14710/pwk.v17i4.34681

Cited by 1 publication

(1 citation statement)

References 19 publications

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“…The output from this fuzzy overlay analysis is a fuzzy value ranging from 0 to 1 [23]. During the fuzzification stage, the fuzzy membership feature adjusts the layer to a uniform scale, with intervals between "0" (indicating an unsuitable area) and "1" (indicating a suitable area), as detailed in [24]. After the fuzzification stage, the fuzzy overlay tool is run to get the results, as shown in Figure 3 (b).…”

Section: Resultsmentioning

confidence: 99%

Identification of Potential Locations for Soil Investigation based On Geographic Information System (GIS)

Apriani,

Qusairy

2024

JTSP

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A site study is conducted to comprehend the stratigraphy, soil type, water depth, and soil deformation qualities. Using this data, cost-effective substructure designs, supporting structure research, alternative development plans, and the site's safety are all possible. Site investigations must be planned to obtain maximum information, represent field soil conditions, and be relevant to development. Excessive investigations waste money and time, while insufficient investigations raise the risk of failure of the constructed structures and cause the data not to reflect the area's conditions accurately. Planners can determine where a site investigation should be conducted in each area by mapping possible investigation locations. The Standard Penetration Test and Cone Penetration Test site investigation location data are used in this study to map possible site investigation locations using spatial analysis in GIS, yielding recommended investigation locations. Elevation, slope, and prior site studies are the three parameters combined to create the weighting method, fuzzy overlay gamma, and per-cell statistical maximum employed in the spatial analysis. The inference matrix is used to validate the accuracy of the spatial analysis results. The inference matrix validation results indicate that the weighting approach has a higher accuracy rate of 63,55%. The findings indicated that the southeast, northeast, and west of the research site had significant potential for site studies in limited regions

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Section: Resultsmentioning

confidence: 99%