PENGELOMPOKAN BERITA INDONESIA BERDASARKAN HISTOGRAM KATA MENGGUNAKAN SELF-ORGANIZING MAP
News is awaited information resources by humans every day. Human reading the news with the desired category. If the computer able to news clustering with automatically, humans of course will be easier to read the news according to the desired category. News clustering in the form of news articles wi...
| Main Authors: | , |
|---|---|
| Format: | Thesis |
| Published: |
[Yogyakarta] : Universitas Gadjah Mada
2013
|
| Subjects: |
| _version_ | 1826046403459153920 |
|---|---|
| author | , Kristiyani Ambarwati , Drs.Edi Winarko, M.Sc., Ph.D. |
| author_facet | , Kristiyani Ambarwati , Drs.Edi Winarko, M.Sc., Ph.D. |
| author_sort | , Kristiyani Ambarwati |
| collection | UGM |
| description | News is awaited information resources by humans every day. Human reading
the news with the desired category. If the computer able to news clustering with
automatically, humans of course will be easier to read the news according to the
desired category. News clustering in the form of news articles with automatically
very interesting because it organizes news articles manually takes time and costs
not a little bit.
The purpose of this research is to create a system application for grouping
news articles by using the Self Organizing Map algorithm. News article be used
as input into the system. News articles used as input data. Then the system
performs data processing until to be clustered. Processes performed by the system
covers: preprocessing, feature extraction, clustering and visualize. The system
developed is able to display the results clustering of the Self Organizing Map
algorithm and gives visualization of the Smoothed Data Histograms in the form of
island map from news articles. Additionally the system can display a word
histogram and news articles from five categories news in each year. Testing of
this system by entering the news articles, then the system performs data
processing and gives results of a cluster from news articles that input. |
| first_indexed | 2024-03-13T22:52:34Z |
| format | Thesis |
| id | oai:generic.eprints.org:120348 |
| institution | Universiti Gadjah Mada |
| last_indexed | 2024-03-13T22:52:34Z |
| publishDate | 2013 |
| publisher | [Yogyakarta] : Universitas Gadjah Mada |
| record_format | dspace |
| spelling | oai:generic.eprints.org:1203482016-03-04T08:39:41Z https://repository.ugm.ac.id/120348/ PENGELOMPOKAN BERITA INDONESIA BERDASARKAN HISTOGRAM KATA MENGGUNAKAN SELF-ORGANIZING MAP , Kristiyani Ambarwati , Drs.Edi Winarko, M.Sc., Ph.D. ETD News is awaited information resources by humans every day. Human reading the news with the desired category. If the computer able to news clustering with automatically, humans of course will be easier to read the news according to the desired category. News clustering in the form of news articles with automatically very interesting because it organizes news articles manually takes time and costs not a little bit. The purpose of this research is to create a system application for grouping news articles by using the Self Organizing Map algorithm. News article be used as input into the system. News articles used as input data. Then the system performs data processing until to be clustered. Processes performed by the system covers: preprocessing, feature extraction, clustering and visualize. The system developed is able to display the results clustering of the Self Organizing Map algorithm and gives visualization of the Smoothed Data Histograms in the form of island map from news articles. Additionally the system can display a word histogram and news articles from five categories news in each year. Testing of this system by entering the news articles, then the system performs data processing and gives results of a cluster from news articles that input. [Yogyakarta] : Universitas Gadjah Mada 2013 Thesis NonPeerReviewed , Kristiyani Ambarwati and , Drs.Edi Winarko, M.Sc., Ph.D. (2013) PENGELOMPOKAN BERITA INDONESIA BERDASARKAN HISTOGRAM KATA MENGGUNAKAN SELF-ORGANIZING MAP. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=60372 |
| spellingShingle | ETD , Kristiyani Ambarwati , Drs.Edi Winarko, M.Sc., Ph.D. PENGELOMPOKAN BERITA INDONESIA BERDASARKAN HISTOGRAM KATA MENGGUNAKAN SELF-ORGANIZING MAP |
| title | PENGELOMPOKAN BERITA INDONESIA BERDASARKAN HISTOGRAM KATA MENGGUNAKAN SELF-ORGANIZING MAP |
| title_full | PENGELOMPOKAN BERITA INDONESIA BERDASARKAN HISTOGRAM KATA MENGGUNAKAN SELF-ORGANIZING MAP |
| title_fullStr | PENGELOMPOKAN BERITA INDONESIA BERDASARKAN HISTOGRAM KATA MENGGUNAKAN SELF-ORGANIZING MAP |
| title_full_unstemmed | PENGELOMPOKAN BERITA INDONESIA BERDASARKAN HISTOGRAM KATA MENGGUNAKAN SELF-ORGANIZING MAP |
| title_short | PENGELOMPOKAN BERITA INDONESIA BERDASARKAN HISTOGRAM KATA MENGGUNAKAN SELF-ORGANIZING MAP |
| title_sort | pengelompokan berita indonesia berdasarkan histogram kata menggunakan self organizing map |
| topic | ETD |
| work_keys_str_mv | AT kristiyaniambarwati pengelompokanberitaindonesiaberdasarkanhistogramkatamenggunakanselforganizingmap AT drsediwinarkomscphd pengelompokanberitaindonesiaberdasarkanhistogramkatamenggunakanselforganizingmap |