Path: TopProceedingsKNSIKNSI 2014 STMIK Dipanegara Makasar

PENGGALIAN DATA IJIN GANGGUAN/HO (HINDERORDONNANTIE) UNTUK PEMETAAN KESESUAIAN JALAN DAN INDEKS GANGGUAN DALAM PENGELUARAN IJIN DI UNIT PELAYANAN SATU ATAP PEMERINTAH KABUPATEN TASIKMALAYA MENGGUNAKAN TEKNIK CLUSTERING

ISSN:2355-1941
Proceeding from JBPTITBPP / 2014-03-13 11:25:12
Oleh : Evi Dewi Sri Mulyani, Fitri Nuraeni, Egi Badar Sambani, Central Library Institute Technology Bandung
Dibuat : 2014-03-13, dengan 1 file

Keyword : Hinderordonnantie/HO, Clustering, K-Means, Bootstrapped

Hinderordonnantie (HO) is a permit required to establish a place where business carried on regularly in a

particular area with the intent of seeking advantage by using a machine or anything that may cause social and

environmental nature, is intended to permit any person or legal entity who held the industry, trade and services

that result in interference with the environmental impacts of business activities, in an effort to maintain and

ensure the interests or public order, safety and environmental health. But in reality disturbance permit issued by

Unit Pelayanan Satu Atap Pemerintah Kabupaten Tasikmalaya many are not in accordance with street index,

the index of business interruption and the type designation, then the unknown effect of disturbance index, street

index for the type of business. With clustering techniques, the number of data stored in the database HO makes

the thought to take advantage of these data with the process of extracting information from the data. The results

of data mining is able to provide information on the effect of disturbance index and street index for the type of

company for Unit Pelayanan Satu Atap Pemerintah Kabupaten Tasikmalaya and for the stake holders in the

district of Tasikmalaya especially Tasikmalaya district development planners in mapping the areas that deserve

to be a place of business according to the type of disturbance, type of road and type of business. To obtain

optimal results required penggambungan K-Means algorithm with other algorithms.

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PropertiNilai Properti
ID PublisherJBPTITBPP
OrganisasiC
Nama KontakUPT Perpustakaan ITB
AlamatJl. Ganesha 10
KotaBandung
DaerahJawa Barat
NegaraIndonesia
Telepon62-22-2509118, 2500089
Fax62-22-2500089
E-mail Administratordigilib@lib.itb.ac.id
E-mail CKOinfo@lib.itb.ac.id

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