DocumentCode :
3565635
Title :
Building weather season pattern from Aceh local news article (Text period analysis via significant term)
Author :
Budiansyah, Arie ; Mutiawani, Viska
Author_Institution :
Inf. Dept., Syiah Kuala Univ., Banda Aceh, Indonesia
fYear :
2014
Firstpage :
29
Lastpage :
32
Abstract :
Knowledge about climate change is very important in human life. The information gained can be used to learn about time period of weather season from January to December. Indonesia is a tropical country with two weather seasons, they are summer and rainy weather. Weather information and forecasting are usually reported by Indonesian Agency for Meteorology, Climatology and Geophysics, BMKG (Badan Meteorologi Klimatologi dan Geofisika), every day on television. The method used by BMKG i.e. using weather sensor equipment placed in several locations to grab the weather data. This study also grabs the weather data by mining a text in local electronic newspaper. The idea of this research came from reading a few local newspaper articles that tells about impact of weather event such as droughts, floods, crop failure, somewhere then we know each article has timestamp such as the date, month, and year. Therefore by looking "the word that tells about impact of weather event" in electronic newspaper article, from January to December, then we know weather conditions. Those word called weather significant terms. To gain this information, we classified several word which can represent summer and rainy weather condition. These words were collected from three stages of text mining process: (i) Data preprocessing; (ii) Sorting suffixes and saving into file; (iii) Extracting weather significant term candidate along with timestamp. Weather significant term and their timestamps will be stored in a database. Later, an application will query the database to find information of weather season words (weather significant terms). The pattern will use month as the interval period. By entering some weather significant terms related to summer and rainy weather season into application, the application will produce graph explaining summer and rainy weather season pattern period in Aceh province.
Keywords :
climate mitigation; data mining; electronic publishing; geographic information systems; query processing; text analysis; weather forecasting; Aceh local news article; Aceh province; BMKG; Badan Meteorologi Klimatologi dan Geofisika; Indonesian Agency for Meteorology Climatology and Geophysics; climate change; crop failure; data preprocessing; database; droughts; electronic newspaper article; file saving; floods; local electronic newspaper; local newspaper articles; query; rainy weather; suffixes sorting; summer; text mining; text period analysis; time period; timestamp; weather conditions; weather event; weather forecasting; weather information; weather season pattern; weather sensor equipment; weather significant term extraction; Agriculture; Data mining; Data preprocessing; Databases; Floods; Meteorology; Sorting; electronic newspaper; weather season; weather season pattern; weather significant term;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology Systems and Innovation (ICITSI), 2014 International Conference on
Type :
conf
DOI :
10.1109/ICITSI.2014.7048233
Filename :
7048233
Link To Document :
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