ANALISIS TREN KATA KUNCI PADA MESIN PENCARI UNTUK MEMPREDIKSI JENIS PRODUK YANG PROSPEK DIPASA

The purpose of this research was to identify and to analyze popular keywords that became trends and are popularly searched by search engine users for recent years, in order to estimate future trends to find out what kind of potential products for online market in Indonesia. Popular and most wanted p...

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Main Authors: , Wahyu Ridhoni, S.Kom, , Ir. Rudi Hartanto, M.T.
Format: Thesis
Published: [Yogyakarta] : Universitas Gadjah Mada 2011
Subjects:
ETD
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author , Wahyu Ridhoni, S.Kom
, Ir. Rudi Hartanto, M.T.
author_facet , Wahyu Ridhoni, S.Kom
, Ir. Rudi Hartanto, M.T.
author_sort , Wahyu Ridhoni, S.Kom
collection UGM
description The purpose of this research was to identify and to analyze popular keywords that became trends and are popularly searched by search engine users for recent years, in order to estimate future trends to find out what kind of potential products for online market in Indonesia. Popular and most wanted products every month could be determined by observing selected queries input to the keyword related to the products, and observing the top-listed keywords related to the queries on the searching item of Google Insights. A questioner approach was conducted to categorize products, in order to estimate the future trend of the keywords. Then, potential product for market can be determined using a statistical operation called curve estimation regression. From this research, a conclusion was drawn that the future potential products would be under the category of automotive, property, gadget, computer, and electronic.
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institution Universiti Gadjah Mada
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spelling oai:generic.eprints.org:886382014-08-20T02:54:17Z https://repository.ugm.ac.id/88638/ ANALISIS TREN KATA KUNCI PADA MESIN PENCARI UNTUK MEMPREDIKSI JENIS PRODUK YANG PROSPEK DIPASA , Wahyu Ridhoni, S.Kom , Ir. Rudi Hartanto, M.T. ETD The purpose of this research was to identify and to analyze popular keywords that became trends and are popularly searched by search engine users for recent years, in order to estimate future trends to find out what kind of potential products for online market in Indonesia. Popular and most wanted products every month could be determined by observing selected queries input to the keyword related to the products, and observing the top-listed keywords related to the queries on the searching item of Google Insights. A questioner approach was conducted to categorize products, in order to estimate the future trend of the keywords. Then, potential product for market can be determined using a statistical operation called curve estimation regression. From this research, a conclusion was drawn that the future potential products would be under the category of automotive, property, gadget, computer, and electronic. [Yogyakarta] : Universitas Gadjah Mada 2011 Thesis NonPeerReviewed , Wahyu Ridhoni, S.Kom and , Ir. Rudi Hartanto, M.T. (2011) ANALISIS TREN KATA KUNCI PADA MESIN PENCARI UNTUK MEMPREDIKSI JENIS PRODUK YANG PROSPEK DIPASA. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=50657
spellingShingle ETD
, Wahyu Ridhoni, S.Kom
, Ir. Rudi Hartanto, M.T.
ANALISIS TREN KATA KUNCI PADA MESIN PENCARI UNTUK MEMPREDIKSI JENIS PRODUK YANG PROSPEK DIPASA
title ANALISIS TREN KATA KUNCI PADA MESIN PENCARI UNTUK MEMPREDIKSI JENIS PRODUK YANG PROSPEK DIPASA
title_full ANALISIS TREN KATA KUNCI PADA MESIN PENCARI UNTUK MEMPREDIKSI JENIS PRODUK YANG PROSPEK DIPASA
title_fullStr ANALISIS TREN KATA KUNCI PADA MESIN PENCARI UNTUK MEMPREDIKSI JENIS PRODUK YANG PROSPEK DIPASA
title_full_unstemmed ANALISIS TREN KATA KUNCI PADA MESIN PENCARI UNTUK MEMPREDIKSI JENIS PRODUK YANG PROSPEK DIPASA
title_short ANALISIS TREN KATA KUNCI PADA MESIN PENCARI UNTUK MEMPREDIKSI JENIS PRODUK YANG PROSPEK DIPASA
title_sort analisis tren kata kunci pada mesin pencari untuk memprediksi jenis produk yang prospek dipasa
topic ETD
work_keys_str_mv AT wahyuridhoniskom analisistrenkatakuncipadamesinpencariuntukmemprediksijenisprodukyangprospekdipasa
AT irrudihartantomt analisistrenkatakuncipadamesinpencariuntukmemprediksijenisprodukyangprospekdipasa