Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Sistemasi: Jurnal Sistem Informasi Jurnal Manajemen Teknologi dan Sistem Informasi
FA Bambang Sukoco
Universitas Dinamika Bangsa
Computer Science & IT Electrical & Electronics Engineering

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

Found 2 Documents
Search

 1 
Improving the Accuracy of Public Sentiment Analysis on the Presence of Artificial Intelligence using an NLP-based Hybrid Deep Learning Model Daniel Sintong Pardamean Simanjuntak; FA Bambang Sukoco; Ahmad Husaein; Muhammad Zidan
SISTEMASI Vol 15, No 9 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i9.6737

Abstract

The development of Artificial Intelligence (AI) has generated diverse public responses, which are widely expressed through social media platforms such as Twitter/X, TikTok, and YouTube. Understanding public sentiment toward AI is important because it provides insights into public acceptance, concerns, and perceptions regarding the development of this technology. However, sentiment analysis of Indonesian-language social media text remains challenging due to the informal and unstructured nature of the language, including slang, typographical errors, and substantial morphological variations. This study aims to develop a hybrid sentiment analysis model based on Bidirectional Long Short-Term Memory–Conditional Random Fields (BiLSTM–CRF), integrating Word2Vec and FastText to improve the performance of public sentiment classification toward Artificial Intelligence. The dataset was collected from three social media platforms—Twitter/X, TikTok, and YouTube—and comprised 30,550 comments after preprocessing and labeling into three sentiment categories: positive, neutral, and negative. The experiments compared the proposed models with the baseline CRF, LSTM, and BiLSTM models using accuracy, precision, recall, and F1-score as evaluation metrics. The results show that the BiLSTM–CRF model with FastText achieved the best performance, with an accuracy of 93.12%, precision of 92.74%, recall of 92.31%, and F1-score of 92.52%. This performance exceeded that of BiLSTM–CRF with Word2Vec (91.38%), BiLSTM (87.24%), LSTM (84.15%), and CRF (78.42%). These findings demonstrate that integrating BiLSTM–CRF with FastText's subword-based representation is effective in improving sentiment analysis performance on Indonesian-language social media data. This study contributes to the development of more robust, adaptive, and representative sentiment analysis methods for understanding public opinion toward Artificial Intelligence.
Design of an Android-Based Augmented Reality Virtual Menu Application for Ejji Coffee Shop in Jambi City FA Bambang Sukoco; M Rakesh; Dodo Zaenal Abidin
Jurnal Manajemen Teknologi Dan Sistem Informasi (JMS) Vol 6 No 2 (2026): JMS Vol 6 No 2 September 2026
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jms.2026.6.2.2537

Abstract

Kedai Kopi Ejji is located in Jambi city, specifically in Beringin. Many customers are confused by the coffee menu options due to a lack of explanations, forcing them to call the waiter for assistance. Augmented reality (AR) technology can be an effective solution. AR provides an immersive experience and can be used as an attractive promotional tool. With AR, the menu, which initially consists of text and images, can be visualized interactively. It combines virtual objects with real ones, capturing the attention of consumers, especially in areas where this technology is still new. the use of AR can increase sales revenue in several ways. First, AR enhances the customer experience with 3D visualizations of the menu, making customers feel more connected to the products. It also reduces confusion, helping them make decisions more quickly. additionally, the interactive elements of AR can encourage impulsive purchases, increasing the average transaction value. AR also improves service efficiency, reduces the workload of waitstaff, and speeds up the service process. The implementation of AR provides a competitive advantage, attracting more new customers. The AR application can be promoted through social media, encouraging customers to share their experiences, which positively impacts visitor numbers and revenue. The AR application serves as an innovative alternative to conventional menus.
Co-Authors Ahmad Husaein Daniel Sintong Pardamean Simanjuntak Dodo Zaenal Abidin M Rakesh Muhammad Zidan