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

• Main Authors: , Wahyu Ridhoni, S.Kom, , Ir. Rudi Hartanto, M.T.
• Format: Theses and Dissertations NonPeerReviewed
• Published: [Yogyakarta] : Universitas Gadjah Mada 2011
• Subjects: ETD
• Online Access: https://repository.ugm.ac.id/88638/; http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=50657
• Institution: Universitas Gadjah Mada

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.