Article Per Year (5 Year)
p-Index From 2020 - 2025
0
P-Index
This Author published in this journals
All Journal Jurnal Pendidikan Vokasi Jurnal Buana Informatika
Sari, Dita Lupita
Unknown Affiliation
Computer Science & IT Education

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Peringkasan Dokumen Berdasarkan Metode Semantic Sebaran Kalimat Wahib, Aminul; Sari, Dita Lupita
Jurnal Buana Informatika Vol 8, No 1 (2017): Jurnal Buana Informatika Volume 8 Nomor 1 Januari 2017
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jbi.v8i1.1073

Abstract

Abstract. Sentence distribution method performs weighting based on the sentence distribution without taking the semantic meaning of the sentence spread into account. In fact, the semantic relation between sentences is believed to increase the relevance of the search results document. This study proposes new strategies to summarize documents using the semantic sentence distribution method in an effort to improve the quality of the summary. The experimental results show that the proposed method has better performance with the average performance ROUGE-1 0.412, an increase of 1,9% compared to "Sentence distribution method" and ROUGE-2 by 4,7% compared to 0.127 "sentence distribution method".Keywords: Semantic Sentence Distribution, Summarizing Document, ROUGE. Abstrak. Peringkasan dokumen menggunakan metode sebaran kalimat terbukti memiliki hasil yang lebih baik jika dibanding dengan penelitian-penelitian sebelumnya. Metode tersebut melakukan pembobotan kalimat berdasarkan sebaran kalimat tanpa memperhitungkan makna semantic kalimat yang tersebar. Faktanya hubungan semantic antar kalimat telah terbukti mampu meningkatkan relevansi hasil dalam pencarian dokumen. Penelitian ini mengajukan strategi baru dalam peringkasan dokumen yaitu menggunakan metode semantic sebaran kalimat sebagai upaya untuk meningkatkan kualitas hasil ringkasan. Hasil eksperimen didapatkan bahwa metode yang diusulkan memiliki performa lebih baik dengan capaian rata-rata ROUGE-1 0,412, meningkat 1,9% dibanding metode sebaran kalimat dan ROUGE-2 0,127 meningkat 4,7% dibanding metode sebaran kalimat.Kata Kunci: Semantic Sebaran Kalimat, Peringkasan Dokumen, ROUGE.
System requirement analysis for e-learning materials to support academic writing skills for engineering students of vocational higher education Sari, Dita Lupita; Niswatin, Choirun
Jurnal Pendidikan Vokasi Vol. 8 No. 1 (2018): February
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (474.44 KB) | DOI: 10.21831/jpv.v8i1.17043

Abstract

This paper outlines a system requirement of proposed e-learning design for English course particularly in academic writing. However, the system requirement is focused on functional requirement. Therefore, it is necessary to carry out an intensive interaction involving systems analysts and end-users to obtain the appropriate learning materials needed by the engineering students. The instrument of this research is interview and questionnaire. The former was elaborated by the English teachers, while the latter was collected from engineering students at Politeknik Kota Malang. The data collection is analyzed using Kano's method. The research findings indicates that the functional requirement consists of 3 parts: 1) academic writing, 2) quizzes, and 3) writing template. The academic writing is focused on how to write abstract. Meanwhile, the quizzes cover grammar, paraphrasing, and abstract organization. This application comes with an abstract template as well, which can be downloaded and printed as required affiliation.
Co-Authors Aminul Wahib Niswatin, Choirun