JURNAL INTERNASIONAL

Journal of Theoritical and Apllied Information Technology

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Nowadays with linked open data, we can access numerous data over the world that more easily and semantically. This research focus on technique for accessing linked open government data LOGD from SPARQL Endpoint for resulting time series historical of Forest Fire data. Moreover, the data will automatically uses as background knowledge for predicting the number of forest fire and size of burn area with machine learning. By using this technique, LOGD could be used as an online backgorund knowledge that provide time series data for predicting trend of fire disaster. In evaluation, mean square error MSE and root mean square error RMSE are used to evaluate the performance of prediction in this research. We also compare several algorithm such as Linear Regression, Neural Network and SVM in different window size.

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Ketersediaan

JI03220021

004.0285 JATIT J JurnalInternasional

Perpus STMIK (Jurnal Internasional)

Tersedia

Informasi Detail

Judul Seri

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No. Panggil

004.0285 JATIT J JurnalInternasional

Penerbit

USA : JATIT., 2014

Deskripsi Fisik

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Bahasa

English

ISBN/ISSN

1992 8645

Klasifikasi

004.0285

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

Volume 62 Nomor 3 Tahun 2014

Subjek

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Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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