Skip to content
Log in
Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

A. Eviyanti

View on Semantic Scholar

4 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Oct 2026

Development of Augmented Reality Application for Visualization of Production Building of PT XYZ

This project aims to develop 3D models of PT Aneka Coffee Industry''s production facilities and visualize them using Augmented Reality (AR). The primary objective is to enhance visual communication by providing interactive representations of the buildings.The 3D models were created using Blender, and integrated with an...

Ali Sofyan, A. Eviyanti · 0 citations
Open access Oct 2026

Fake News Detection on Social Media Based on Indonesian Public Opinion Sentiment Analysis Using Naïve Bayes and Deep Neural Networks

The rapid growth of social media in Indonesia has intensified the spread of fake news, posing serious threats to public opinion, social stability, and democratic processes. This research proposes a fake news detection model based on sentiment analysis of Indonesian public opinion using Naïve Bayes and Deep Neural Netwo...

N. Azizah, A. Eviyanti, M. A. Rosid et al. · 0 citations
Open access Oct 2026

Agile-Based Internal Asset Management Application Development In Communication And Information Office

The Malang City Diskominfo Aptics Sector has an important role in supporting the management of information technology and public services. One of the problems currently faced is that managing asset data is still done manually, which causes data recording and data reporting to be less efficient. So the aim of this resea...

Amalia Rossa Annjani, A. Eviyanti · 0 citations
Open access Oct 2026

A Channel-Selected DWT-ANOVA and CNN-BiLSTM Framework for Multiclass Epileptic Seizure Detection from EEG Signals

Multiclass epileptic seizure detection from Electroencephalogram (EEG) signals is difficult because seizure-related patterns are nonstationary, patient-dependent, and distributed across redundant EEG channels. This study develops a detection framework that combines Coefficient of Variation (CV)-based channel selection,...

A. Eviyanti, Ahmad Saikhu, Chastine Fatichah · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.