Skripsi

SISTEM INFORMASI GEOGRAFIS DISTRIBUSI SAMPAH UNTUK MENANGGULANGI BANJIR

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ABSTRACT
Trash is a byproduct of manusian sehai-day activities. Every day there is always a
waste dumped by everyone. Rubbish piled up is the source of this smell that gives bad
effects for the region surrounding areas such as housing, shopping, recreation and
others. Garbage from various sources can pollute the environment, like a terrestrial
environment, air, and waters. Burning waste often occurs at the source and location of
collection especially if there is delay in the transport process causing where capacity is
exceeded. While the smoke generated from burning is potential to cause nuisance to the
surrounding environment. The aim of the research is to improve Sleman District BAPPEDAs performance
efficiency in handling the distribution of garbage, so that it can cope with floods that will
caused by rubbish. With existence of accurate data, which not only text data, but also
supported with spatial data (spatial) in order to improve the speed in terms of making
decisions based on the analysis resulting from problems occurring field, such as
improving the monitoring of waste in terms of information distribution which is currently
running.
Conclusion of this research is the Geographic Information System Distribution to
Tackle Flood Trash. Where the system is able visualize the location of the distribution of
points between the beginning and the trash that has been There, the transport line
garbage bins display photos, store baksampah development and application of data
capable of processing (change, add and delete) existing data.

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Ketersediaan

IF0027

IF 0027 PRA p

UPT. PERPUSTAKAAN (Kardus 2)

Tersedia

Informasi Detail

Judul Seri

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No. Panggil

IF0027 PRA p

Penerbit

Purwokerto : Universitas Amikom Purwokerto., 2010

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

05.11.0049

Klasifikasi

TI 0027

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

2010

Subjek

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Info Detail Spesifik

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Pernyataan Tanggungjawab

Supangkat Eka Prasetya

Versi lain/terkait

Lampiran Berkas

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