JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI
Vol 9 No 2 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)

ANALISIS SENTIMEN ULASAN PELANGGAN BATIK ECOPRINT MENGGUNAKAN NAÏVE BAYES DAN KNN CLASSIFIER

Nia Saurina (Unknown)



Article Info

Publish Date
17 Jun 2022

Abstract

Batik is attached to Indonesian society as a national identity and recognized as Indonesia national outfits. Batik has been used, produced and found all over Indonesia even though mostly associated to Javanese society as its main origin. Ecoprint is a technique in which plants, leaves, and leaves leave a beautiful design in terms of shape, color on a fabric medium. Sentiment analysis is the process of understanding, extracting and processing textual data automatically to get sentiment information contained in a sentence. This article is concerned on made sentiment analysis to evaluating customer satisfaction of Ecoprint Batik. We also want to know how the customer review about Ecoprint Batik and want to evaluate what Ecoprint Batik that are satisfied enough and are that customer knows that Ecoprint Batik are environmentally friendly, using Naïve Bayes and KNN classifier. In accordance with the tweet data of 5,736 positive sentiments and 1,707 negative sentiments, we can see that ecoprint batik buyers are satisfied with ecoprint batik products. In addition, looking at the data train as 17,197 tweets, there are 39 tweets that know that ecoprint batik is environmentally friendly, for the rest consumers of batik ecoprint write more about the quality of ecoprint batik.

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Journal Info

Abbrev

jatisi

Publisher

Subject

Computer Science & IT

Description

JATISI bekerja sama dengan IndoCEISS dalam pengelolaannya. IndoCEISS merupakan wadah bagi para ilmuwan, praktisi, pendidik, dan penggemar dalam bidang komputer, elektronika, dan instrumentasi yang menaruh minat untuk memajukan bidang tersebut di Indonesia. JATISI diterbitkan 2 kali dalam setahun ...