THE NEEDS ANALYSIS OF WASTE TRANSPORT VEHICLES BASED ON WASTE TRANSPORT RITATION AND SCENARIO

As population and its activity increase, the amount of waste generated by urban activity increases over time. Due to the large amount and volume of waste and its diverse species, if not properly managed, municipal waste will have negative impacts in the form of complex environmental problems, such a...

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Main Author: Silvianti, Fifian
Format: Theses
Language:Indonesia
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Online Access:https://digilib.itb.ac.id/gdl/view/37428
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:37428
spelling id-itb.:374282019-03-22T15:36:36ZTHE NEEDS ANALYSIS OF WASTE TRANSPORT VEHICLES BASED ON WASTE TRANSPORT RITATION AND SCENARIO Silvianti, Fifian Perencanaan wilayah Indonesia Theses waste generation, waste transportation, transportation needs, waste transport ritation, waste trasnport route INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/37428 As population and its activity increase, the amount of waste generated by urban activity increases over time. Due to the large amount and volume of waste and its diverse species, if not properly managed, municipal waste will have negative impacts in the form of complex environmental problems, such as water, soil and air pollution, breeding of disease seeds, disruption of order, cleanliness and beauty of the environment. The amount of waste managed by North Bekasi District is only 12.29% of the total waste generation. This situation is caused by the inadequate availability of waste transportation vehicles resulting in waste accumulation in some areas. To overcome the high amount of waste generation it is necessary an analysis of the needs of waste transport vehicles that are effective and efficient. The purpose of this paper is to provide direction on the needs of waste transporting vehicles in the City of Bekasi, especially North Bekasi District, in order to improve the service of waste in the City of Bekasi. The method used in this research is the population projection method, the projection method of waste generation, the calculation of the needs of the waste transport vehicle, waste transport ritation optimization method and the minimizing travel distance method done for optimal route determination by using Geographic Information System (GIS) with Network Analyst (NA) feature. The result of this research is to be able to transport 70% of waste generation in North Bekasi District in 2017, the number of waste transportation units required is 14 units, in 2022 is 18 units, and in 2027 is 21 units. While to be able to transport the entire generation of waste in North Bekasi District in 2032, the number of waste transport vehicles required is 36 units, in 2037 is 42 units. In addition, with optimization of waste transport ritation and scenarios developed by, all waste generation can be transported every day so that waste services can be improved effectively and efficiently. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
topic Perencanaan wilayah
spellingShingle Perencanaan wilayah
Silvianti, Fifian
THE NEEDS ANALYSIS OF WASTE TRANSPORT VEHICLES BASED ON WASTE TRANSPORT RITATION AND SCENARIO
description As population and its activity increase, the amount of waste generated by urban activity increases over time. Due to the large amount and volume of waste and its diverse species, if not properly managed, municipal waste will have negative impacts in the form of complex environmental problems, such as water, soil and air pollution, breeding of disease seeds, disruption of order, cleanliness and beauty of the environment. The amount of waste managed by North Bekasi District is only 12.29% of the total waste generation. This situation is caused by the inadequate availability of waste transportation vehicles resulting in waste accumulation in some areas. To overcome the high amount of waste generation it is necessary an analysis of the needs of waste transport vehicles that are effective and efficient. The purpose of this paper is to provide direction on the needs of waste transporting vehicles in the City of Bekasi, especially North Bekasi District, in order to improve the service of waste in the City of Bekasi. The method used in this research is the population projection method, the projection method of waste generation, the calculation of the needs of the waste transport vehicle, waste transport ritation optimization method and the minimizing travel distance method done for optimal route determination by using Geographic Information System (GIS) with Network Analyst (NA) feature. The result of this research is to be able to transport 70% of waste generation in North Bekasi District in 2017, the number of waste transportation units required is 14 units, in 2022 is 18 units, and in 2027 is 21 units. While to be able to transport the entire generation of waste in North Bekasi District in 2032, the number of waste transport vehicles required is 36 units, in 2037 is 42 units. In addition, with optimization of waste transport ritation and scenarios developed by, all waste generation can be transported every day so that waste services can be improved effectively and efficiently.
format Theses
author Silvianti, Fifian
author_facet Silvianti, Fifian
author_sort Silvianti, Fifian
title THE NEEDS ANALYSIS OF WASTE TRANSPORT VEHICLES BASED ON WASTE TRANSPORT RITATION AND SCENARIO
title_short THE NEEDS ANALYSIS OF WASTE TRANSPORT VEHICLES BASED ON WASTE TRANSPORT RITATION AND SCENARIO
title_full THE NEEDS ANALYSIS OF WASTE TRANSPORT VEHICLES BASED ON WASTE TRANSPORT RITATION AND SCENARIO
title_fullStr THE NEEDS ANALYSIS OF WASTE TRANSPORT VEHICLES BASED ON WASTE TRANSPORT RITATION AND SCENARIO
title_full_unstemmed THE NEEDS ANALYSIS OF WASTE TRANSPORT VEHICLES BASED ON WASTE TRANSPORT RITATION AND SCENARIO
title_sort needs analysis of waste transport vehicles based on waste transport ritation and scenario
url https://digilib.itb.ac.id/gdl/view/37428
_version_ 1821997375208554496