Utility Klasifikasi Kata Berdasarkan Kamus pada Dokumen Bertipe Word (.docx) Berbasis Web

Main Article Content

Dwi Sakethi
Raka Widharma Kartika

Abstract

Word class is one of the central aspects in Indonesian grammar. To understand the classification of word classes, it is less effective to do the it manually. So, developing a tool that can help fasten the process of classifying word classes in the document is need. Therefore, this research aims to build a system that can help make it easier for users to minimize time and human resources in determining the word class of a text document itself. The research development of a word classification system based on a dictionary on a word document (.docx) using the Waterfall or Classic Life Cycle, is divided into several stages, namely requirements specification and analysis, system and software design, coding and unit testing, system integration and testing, and installation and maintenance. This study resulted in a word classification system based on a dictionary on a word document (.docx). The success obtained in the development of this system is evidenced by the statistical data that shows the level of user satisfaction with a total average of 88.35% which is in the "Very Good" category.

Article Details

How to Cite
Sakethi, D., & Kartika, R. W. (2022). Utility Klasifikasi Kata Berdasarkan Kamus pada Dokumen Bertipe Word (.docx) Berbasis Web. Jurnal Pepadun, 3(3), 390–398. https://doi.org/10.23960/pepadun.v3i3.137

References

S. R. Utami, “Pembelajaran Aspek Tata Bahasa dalam Buku Pelajaran Bahasa Indonesia,” AKSIS: Jurnal Pendidikan Bahasa dan Sastra Indonesia, 1(2), 2017.

U. Budiman dan Izzatul, “Sistem Pengolahan Kalimat Bahasa Indonesia Menjadi Kata Dasar dengan Metode Stemmer Berbasis Pemrograman Hypertext Preprocessor,” Journal Trisula LP2M Undar, 5(1), 501-507, 2017.

I. Sommerville, Software Engineering 9th edition. Addison Wesley: Publisher, pp. 29-32, 2007

A. Firman, H.F. Wowor, dan X. Najoan, “Sistem Informasi Pepustakaan Online Berbasis Web,” Journal Teknik Elektro dan Komputer, 5(2), 29-36, 2016.

D. G. Mahendra dan A. Kasyaful, “Analisis Availabilitas dan Reliabilitas Multi-master Database Server dengan State Snapshot Transfers (SST) Jenis Rsync pada MariaDB Galera Cluster,” Jurnal Teknologi Informasi dan Ilmu Komputer, 4(1), 69-74, 2017.

T. Hidayat dan M. Mutaqqin, “Pengujian Sistem Informasi Pendaftaran dan Pembayaran Wisuda Online menggunakan Black-Box Testing dengan Metode Equivalence Partitioning dan Boundary Value Analysis,” Jutis (Jurnal Teknik Informatika), 6(1), 25-29, 2020.

Ademariana, K., Aristoteles, A., Lumbanraja, F. R., dan Rico Andrian, R. A, “Clustering K-Means Jenis Kata Pada Laporan Kegiatan Kuliah Kerja Nyata (KKN) Universitas Lampung Menggunakan Word2vec”, Jurnal Pepadun, 2(2), 221-228, 2021.