Business Centre Development Model of Airport Area in Supporting Airport Sustainability in Indonesia

Setiawan, M Ikhsan; Surjokusumo, S; Ma’soem, DM; Johan, Johny; Hasyim, Cholil; Kurniasih, Nuning; Sukoco, Agus; Dhaniarti, Iswachyu; Suyono, Joko; Sudapet, I Nyoman; Nasihien, RD; Mudjanarko, SW; Wulandari, Ani; Ahmar, Ansari Saleh; Wajdi, Muh. Barid Nizarudin

doi:10.1088/1742-6596/954/1/012024

Cited by 26 publications

(14 citation statements)

References 1 publication

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“…The general equation is [11]- [19]: Y = α + β1 X1 + β2 X2 + .... + βn Xn. Y is dependent variable, and X is independent variables, α is a constant (intercept) and β is the regression coefficient of each independent variable [11][12][13][14][15][16][17][18] Hypothesis of this study are: Y=α -β1 X1 -β2 X2 -.... -β9 X9. Y= % Profit X1 = Material waste of formwork has negative effect (-) to the profit of a project X2 = Material waste rebar has negative effect (-) to the profit of a project X3 = Material waste of ready mix concrete has negative effect (-) to the profit of a project X4 = Material waste of B aggregate has negative effect (-) to the profit of a project X5 = Material waste of land fill has negative effect (-) to the profit of a project X6 = Material waste of lean concrete has negative effect (-) to the profit of a project X7 = Material waste of cement has negative effect (-) to the profit of a project X8 = Material waste of stone has negative effect (-) to the profit of a project X9 = Material waste of sand has negative effect (-) to the profit of a project…”

Section: Methodsmentioning

confidence: 99%

Modeling of Waste Material Costs on Road Construction Projects

Waty¹,

Alisjahbana²,

Gondokusumo³

et al. 2018

IJET

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Material waste is a term from the amount of waste material percentage and is one of the serious problems in the implementation of road construction project. The research objective is to calculate the average percentage of waste material in road construction projects and obtain waste material influencing profit and make a regression model of % material waste to % profit contractors. The data obtained are 158 projects in East and North Kalimantan divided into 51 road building projects and 107 road improvement projects. The percentage of waste material on road building project is B aggregate as the largest (26%) and ready mix concrete (5.3%) as the smallest. The percentage of waste material on road improvement project is B aggregate as the largest (24.2%) and ready mix concrete (6.14%) as the smallest. The influencing waste material on the road construction project is B aggregate, lean concrete and ready mix concrete with regression equation to determine the estimated % profit contractor as a function of % material waste is Y = 7.363 -0.032 X3 - 0.078 X4 - 0.066 X6. The influenced waste material on road improvement projects are cement, B aggregate, and Land Fill with the regression equation to determine the estimated % profit of contractor as a function of % material waste is Y = 8,702- 0,037 X4- 0,054 X5- 0,044 X7.

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Section: Methodsmentioning

confidence: 99%

Modeling of Waste Material Costs on Road Construction Projects

Waty¹,

Alisjahbana²,

Gondokusumo³

et al. 2018

IJET

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“…The t-count value is obtained with the help of the SmartPLS 2.0 software, while the t-table value corresponds to the alpha and degree of freedom. Table 1 and Table 2 were referred to determine the validity and reliability of the results [1][2][3][4][5][6][7][8][9][10] …”

Section: Methodsmentioning

confidence: 99%

“…This study aims to analyze the economic growth of airport areas in Indonesia. Problem identified includes regional economic growth, contribution of airport management to regional revenue and airport performance evaluation to Local Revenue Budget (APBD) [1][2][3][4][5] …”

Section: Introductionmentioning

confidence: 99%

Correlations Analysis of Airport Sustainability and Local Government Budget

Setiawan¹,

Dhaniarti²,

Hasyim³

et al. 2018

IJIE

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“…Cup rooting will also be supported by a network of hyphae of VAM that would connect between the dots on the roots of plants with a point on the ground deeper and point at the root of the other, so that the formation of a network of hyphae VAM will strengthen buffering capacity and power hold against nutrients, water, minerals, and other microbes that absorbed into the rhizosphere due VAM activity itself. Thus, the presence of VAM + host plants at SDN method will provide benefits in several ways [10]- [15]:…”

Section: Methodsmentioning

confidence: 99%

Portable Urban Agriculture Technology and Soil Nutrient Drive App That Support Farmers Profit

Nasihien¹,

Dhaniarti²,

Muhibuddin³

et al. 2018

IJET

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A narrow land farmed urban Agriculture. It used for daily fresh vegetables and fruit for the housing community in urban areas. Portable Urban Agriculture Technology as a support facility to increase production of Urban Agriculture, the Greenhouse portable system could be built and transferred to a specific location is convenient, safe, fast, lightweight structural material (PVC 0.55mm Tarpaulin) so that the Urban Agricultural Products closer to residential consumers in urban. The impact was the price was cheaper but quality. The objective was to plan, build and test prototype Water inflated tent activity as a facility to strengthen Greenhouse's strength, speed, effectiveness and comfort. Application method stages of the Cup or SDN on a former tin mining land, with Portable Urban Agriculture Technology support soil nutrient drive are as follows: first Reconstruction of the land in the form of land arrangement in accordance contours and irrigation channels that exist in the field is very important to support the success of the method SDN; second Management of top soil in the form of top soil enriched with organic material will support environmental compliance in the soil, especially for the growth and development of VAM hyphae and root system; third Soil Amendment to improve the physical and chemical properties of former mining land; fourth Activities vegetation of mined land with SDN method optimizes the achievement of the goals replanting of sustainable of native vegetation for erosion and runoff, repair and restoration of biodiversity, landscape aesthetics that will impact habitat improvement fauna, biodiversity, soil productivity and water quality. Tree plant species such as Acacia mangium, Acacia auriculiformis and Leucaena diversifolia microbes that have been infected with mycorrhizal fungi (VAM) will be very effective and support this effort. Vegetation activities with SDN method includes the following steps: first Seedling plants with VAM; second Preparation of arable land that supports the development of VAM in the soil; third Planting of the first cup with VAM; fourth Incubate 1 month; fifth Planting of the second cup with VAM; sixth 1 month incubation; and seventh The planting of the main crop.

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Business Centre Development Model of Airport Area in Supporting Airport Sustainability in Indonesia

Cited by 26 publications

References 1 publication

Modeling of Waste Material Costs on Road Construction Projects

Modeling of Waste Material Costs on Road Construction Projects

Correlations Analysis of Airport Sustainability and Local Government Budget

Portable Urban Agriculture Technology and Soil Nutrient Drive App That Support Farmers Profit

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