Browse Items (10 total)
- Collection: Vol. 18 No. 1 (2025)
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Conceptual Design e-Wallet for Rupiah Digital
This research study the advancement of Central Bank Digital Currencies (CBDCs) spurred by fi-nancial technology progress. It focuses on Rupiah Digital, Indonesia's CBDC initiative led by the Bank of Indonesia (BI). The study explores the technical…
E-Government Between Developed and Developing Countries: Key Perspectives from Denmark and Iraq
E-government involves using technology to provide public information and services digitally. This
study examines key factors addressing infrastructure, cultural, political, technical, and social challenges in e-government implementation. By…
study examines key factors addressing infrastructure, cultural, political, technical, and social challenges in e-government implementation. By…
Efficient Design and Compression of CNN Models for
Rapid Character Recognition
Convolutional Neural Networks (CNNs) are extensively utilized for image processing and recognition tasks; however, they often encounter challenges related to large model sizes and prolonged training times. These limitations
present difficulties in…
present difficulties in…
Estimating Passenger Density in Trains through Crowd Counting Modeling
The Greater Jakarta Commuter Rail, also known as the KRL Commuter Line, is one of the primary
transportation choices for many people due to its comfort and efficiency. However, the level of user
dissatisfaction is still relatively high,…
transportation choices for many people due to its comfort and efficiency. However, the level of user
dissatisfaction is still relatively high,…
Forest and Land Fire Vulnerability Assessment and Mapping using Machine Learning Method in East Nusa Tenggara Province, Indonesia
Forest and land fires (FLF) severely damage forest ecosystems and reduce their functionality.
Predicting areas prone to fires is crucial for effective management and prevention. Machine learning
(ML) has shown potential in this field. By 2022,…
Predicting areas prone to fires is crucial for effective management and prevention. Machine learning
(ML) has shown potential in this field. By 2022,…
Multilabel Hate Speech Classification in Indonesian Political Discourse on X using Combined Deep Learning Models with Considering Sentence Length
Hate speech, as public expression of hatred or offensive discourse targeting race, religion, gender, or sexual orientation, is widespread on social media.
Optimizing Data Quality in Interagency Data Sharing: A Framework
As governments strive for openness, inclusivity, and collaboration to deliver public value and inform
policy with a data-driven approach, interagency data sharing (IDS) becomes increasingly critical.
However, challenges remain, particularly…
policy with a data-driven approach, interagency data sharing (IDS) becomes increasingly critical.
However, challenges remain, particularly…
Preprocessing Impact on SAR Oil Spill Image Segmentation Using YOLOv8
Synthetic Aperature Radar (SAR) is a sensory equipment used in marine remote sensing that emits radio waves to capture a representation of the target scene. SAR images have poor quality, one of which is due to speckle noise. This research uses SAR…
Transformative Insights into Corrosion Inhibition: A Machine Learning Journey from Prediction to Web-Based Application
This study focuses on the exploration and evaluation of machine learning (ML) models to analyze expired pharmaceutical data for their potential use as corrosion inhibitors. Additionally, the entire modeling process is integrated into a user-friendly…
Utilizing X Sentiment Analysis to Improve Stock Price Prediction Using Bidirectional Long Short-Term Memory
The capital market is one of the important factors that influence the national economy. However, the
stock price in capital market fluctuates over time. Therefore, the investors strongly need an accurate
prediction of stock price for making…
stock price in capital market fluctuates over time. Therefore, the investors strongly need an accurate
prediction of stock price for making…