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All Journal Jurnal Mantik Jurnal Sistem informasi dan informatika (SIMIKA)
Herlina Trisnawati
Universitas Tama Jagakarsa
Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

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Natural Language Processing Analysis Of Frequently Used Words On Indonesia Website Names Novianti Madhona Faizah; Luky Fabrianto; Widyat Nurcahyo; Herlina Trisnawati
Jurnal Mantik Vol. 6 No. 3 (2022): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

The increasing of internet use time after time is makes an impact addition of websites, the name of a website must be unique, eye catching and attractive, and in naming a website it should not use spaces, therefore it is often found that the website name consists of several words which are combined. This study aims to determine the most frequently used words on websites in Indonesia. The stages of this research briefly begin with the collection of 10,960 website names, word separation on each website name consisting of several words using Wordninja (one of packages available in Python programming language). The word separation process is carried out in several stages, starting from words containing at least 3 letters to 9 letters. Furthermore, from the word separation stage, ten words that appear most often are sorted. It was found that the word "Indonesia" most often appears at each stage of word separation, which is 139 times. Conclusion of this study is prove that Wordninja were very effective, as evidenced by an accuracy of 97.2%.
PENERAPAN METODE AHP UNTUK PEMILIHAN TOKO ONLINE TAS WANITA PADA PLATFORM SHOPEE Herlina Trisnawati; Veranita Veranita; Sakius Tarigan
Jurnal Sistem Informasi dan Informatika (Simika) Vol 5 No 2 (2022): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v5i2.2005

Abstract

Abstract: Today shopping online for daily needs has become a culture for some of our society, especially with the Covid-19 pandemic condition that has been going on for a long time, making us to do more activities at home. This has increased the interest in online shopping, especially for women who like to shop, making online stores an alternative to still being able to shop. With conditions like this, many new online shops or online stores that come from these non-online stores have joined in an e-commerce platform. As online stores increase, the competition among online stores are getting tighter and a little bit confusing for consumers to determine which online store to shop for. We need a decision support system that can help assess and compare one store with another. Researchers will use the AHP (Analytic Hierarchy Process) method that works based on a hierarchical structure in determining criteria using the Multi-criteria Decision Making (MCDM) concept that utilizes the results obtained from eigenvectors through iterations to minimize differences in the assessments of a number of respondents. The results will prove that the decision support system for choosing a trustworthy online shop for women's bags is appropriate based on the dimensions of online store satisfaction. The results of this study will be obtained which online shop for women's bags that are selected or in demand for online shopping transactions. Keywords: Analytical hierarchy process (AHP), e-commerce, eigenvector, decision support system, online shop
Co-Authors Luky Fabrianto Novianti Madhona Faizah Sakius Tarigan Veranita Veranita Widyat Nurcahyo