Perpustakaan Fakultas Ilmu Komputer

Call Number	sem-320
Collection Type	Indeks Artikel prosiding/Sem
Title	Hotspot clustering using dbscan algorithm and shiny web framework
Author	karlina khiyarin nisa; hari agung andrianto; rahmah mardhiyyah;
Publisher	ICACSIS 2014 international conference on advanced computer sciences and information systems (Proceedings). Ambhara hotel, Blok M Jakarta, 18 - 19 Oktober 2014
Subject
Location

Lokasi : Perpustakaan Fakultas Ilmu Komputer

Nomor Panggil	ID Koleksi	Status
sem-320		TERSEDIA

Tidak ada review pada koleksi ini: 44800

Forest fires are a serious problem that occurs repeatedly in Indonesia. Fire events can be predicted by monitoring the datasets of hotspots which are recorded trough remote sensing satellite. This study aims to build a web application that performs clustering on the hotspots data. This application implements DBSCAN algorithm using shiny web framework for R programming language. Clustering is perfomed on a dataset of hotspots on Kalimantan island and south Sumatra province in 2002-2003. The spread pattern of hotspots resulted by this clustering can be used as a predictive model of forest fires occurrence and can be accessed through the internet browser.