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Jurnal Eksplora Informatika
Article . 2019 . Peer-reviewed
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Jurnal Eksplora Informatika
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Jurnal Eksplora Informatika
Article . 2019
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Analisis Frekuensi Kata untuk Mengekstrak Kata Kunci dari Artikel Ilmiah Berbahasa Indonesia

Authors: Ni Wayan Sri Arini; Ida Bagus Putu Widja; I Komang Rinartha Yasa Negara;

Analisis Frekuensi Kata untuk Mengekstrak Kata Kunci dari Artikel Ilmiah Berbahasa Indonesia

Abstract

Publikasi hasil penelitian merupakan suatu proses yang harus dilaksanakan dalam sebuah kegiatan penelitian. Publikasi dapat dilaksanakan dalam bentuk presentasi dalam sebuah seminar ilmiah, maupun dalam bentuk jurnal ilmiah. Sebelum memasuki proses seleksi, artikel ilmiah tersebut dipilah sesuai dengan kompetensi yang dimiliki oleh tim penilai. Umumnya proses pemilahan artikel ilmiah dilakukan secara manual oleh panitia pengelola seminar ilmiah, sehingga membutuhkan waktu dan membutuhkan ketepatan dalam penentuan tim penilai yang sesuai dengan artikel ilmiah. Pemilahan artikel ilmiah dapat dilakukan dengan menerapkan algoritma string similarity, yaitu dengan mencari kata-kata kunci yang terdapat dalam sebuah karya ilmiah. Kata kunci yang berada dalam artikel yang dihasilkan berdasarkan frekuensi kata yang muncul. Sebelum dicari kata yang banyak muncul, dilakukan proses filtering untuk menghilangkan kata sambung yang sering muncul sehingga tidak dianggap sebagai kata kunci artikel. Filtering menggunakan data stopword list yang digunakan oleh Tala. Sistem dibangun dalam bentuk aplikasi web menggunakan bahasa pemrograman PHP dan database MySQL dengan teknik responsive web design. Hasil penelitian ini menjelaskan bahwa artikel yang dimasukkan ke dalam sistem dapat dihasilkan kembali kata kunci yang sesuai dengan mendata kata-kata yang banyak muncul.

Keywords

kata kunci, artikel ilmiah, Information technology, frekuensi kata, T58.5-58.64

  • BIP!
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Top 10%
Average
gold