Municipal Solid Waste Generation, Composition, and Management: Manado City

Takaendengan, Teddy; Padmi, Tri; Sembiring, Emenda; Damanhuri, Enri

doi:10.2991/icest-17.2017.73

Cited by 4 publications

(1 citation statement)

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“…The use of fuel in a year can be calculated from the distance traveled per cycle route (km/route) and the vehicle's fuel consumption (km/L). Vehicle maintenance costs can vary depending on the age and type of vehicle [17]. In planning the operation of an efficient and effective transportation system [18], the following limitations should be considered:  Use the shortest possible transport routes and with the smallest possible obstacles.…”

Section: Introductionmentioning

confidence: 99%

Equation Model for Municipal Solid Waste Collection and Transportation in Manado City

Takaendengan¹,

Padmi²,

Sembiring³

et al. 2017

GEOMATE

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This study aimed to obtain an equation model of the collection and transportation of Municipal Solid Waste (MSW) in Manado City, North Sulawesi. Common problems typically encountered in a system of waste management are, in particular, the vehicle routing, the loading capacity of the vehicle, travel time, the working time per day, and high operational costs. The methodology used in data retrieval is direct observation. Meanwhile, to create MSW collection and transportation equation model, drawing logical paths and pathways are made. After that, continue by defining the problem, setting goals, assigning functions as influential factors, making notations. To apply the equations, C ++ is used with a Codeblock editor. Three scenarios were developed in which scenario 1 uses an individual pattern directly, scenario 2 uses a pattern combination between individual directly with the communal directly, and scenario 3 uses a communal pattern directly. The analysis results show that scenario 3 produces a smaller value than scenarios 1 and 2. The number of vehicles required for scenario 3 is 45, and the number of routes per year is as high as 45,000. The distance is 674,172 km/year and the travel time is 120,242 hours/year. The conclusion is that optimization of travel time is proportional to the distance and operating costs as well as environmental costs. The operation of TPS3R, which facilitated by the government and managed by the community, requires active community involvement. Waste is reduced significantly, and the use of waste carrier vehicles is also reduced because the travel time and mileage decrease. The operational costs of waste management also decrease.

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Section: Introductionmentioning

confidence: 99%