KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Vol. 8 No. 1 (2022): Kalbisiana

Alih Bentuk Kalimat Non-Formal Menjadi Kalimat Formal Menggunakan Pendekatan Machine Translation

Nathanael Rezaputra (Institut Teknologi dan Bisnis Kalbis)
Yulius Denny Prabowo (Institut Teknologi dan Bisnis Kalbis)

Article Info

Publish Date
18 May 2022

Abstract

This research aims to apply the Long Short-Term Memory algorithm to the conversion of informal sentences into formal sentences using Indonesian sentences. Development of LSTM model application software to convert informal sentences to formal sentences in this study uses the incremental method. The BLEU evaluation determines whether or not the predicted sentence is accepted by measuring the closeness of the context of the formal sentence from the dataset. This research produces a website-based application. The conclusion obtained is that the training model that is built produces accuracy and loss values with a value of 0.7011 and 3.7401. Based on these results, an assessment of the training model is not good enough. This is due to several factors that cause the model training to experience overfitting.

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Journal Info
KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Website

Abbrev

kalbisiana

Publisher

UNIVERSITAS KALBIS

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

Description

KALBISIANA Jurnal Sains, Bisnis dan Teknologi adalah jurnal akses terbuka akademik yang bertujuan untuk mempromosikan integrasi sains, bisnis dan teknologi. Fokusnya adalah menerbitkan makalah tentang sains, bisnis dan teknologi. Makalah yang dikirimkan akan ditinjau oleh komite teknis jurnal. Semua ...