Exploring public sentiment on Madurese batik using backpropagation neural network

¹ Department of Informatics, Faculty of Engineering, University of Trunodjoyo Madura, Bangkalan, Indonesia
² Department of Information Systems, Faculty of Engineering, University of Trunodjoyo Madura, Bangkalan, Indonesia
³ Departement Magister of Computer Science, Esa Unggul University, Jakarta, Indonesia

^* Corresponding author: fika.rachman@trunojoyo.ac.id

Published online: 22 December 2025

Abstract

Sentiment analysis is an analysis that aims to observe the opinion of a society or a group about a specific entity. Sentiment analysis is widely used to analyze and assess a product, whether it produces positive reviews and is widely liked by the public or vice versa. This research was conducted to analyze and classify data about Madurese batik through public opinion sourced from X social media. Batik is part of one of the identities of the Indonesian nation. As technology develops, more and more public opinions and perceptions are shared through social networks such as online media, one of which is the X application. Therefore, this study requires data to be analyzed by taking and extracting public opinions on Madurese Batik through social media X. The method used is the backpropagation neural network method, in which the data obtained from Social media X is processed and classified to produce a conclusion divided into positive and negative responses. In this study, sentiment analysis about Madurese Batik on X social media was carried out by applying the Backpropagation Neural Network (BNN) method by applying an experimental scenario on a split data of 0.3 with a total of 2458 data inputs, 200 hidden, two outputs and 150 iterations with 80% accuracy.