Claim Missing Document
Check
Articles

Found 2 Documents
Search

CNN ALGORITHM OPTIMIZATION FOR CLASSIFYING NUMBERS IN HANDWRITING Septiani, Dinda; Fadhli, Mohammad; Soim, Sopian
Transmisi: Jurnal Ilmiah Teknik Elektro Vol 27, No 1 Januari (2025): TRANSMISI: Jurnal Ilmiah Teknik Elektro
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/transmisi.27.1.57-63

Abstract

Handwritten numeral recognition is an important challenge in image processing, with wide applications in areas such as document processing and data automation. This research aims to optimize the performance of Convolutional Neural Network (CNN) model in classifying handwritten numerals on MNIST dataset. In this research, experiments were conducted with variations in the number of CNN layers to evaluate their effect on model accuracy. The results show that the model with 4 convolutional layers achieves the highest accuracy of 92.41%, which signifies a significant improvement in the model's ability to extract important features from the image compared to the model with fewer layers. This research also applied the best model to a website that allows users to recognize handwritten numerals in real-time. This provides practical benefits in the development of automatic character recognition systems and shows how this technology can be applied directly in everyday life.
The Failures of Us-Mexico Immigration and Border Policies Under the Donald Trump Administration SEPTIANI, Dinda; JUNED, Mansur
Journal of Tourism Economics and Policy Vol. 5 No. 2 (2025): Journal of Tourism Economics and Policy (April - June 2025)
Publisher : PT Keberlanjutan Strategis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38142/jtep.v5i2.1330

Abstract

The migration problem is already at an urgent stage for a country's national security. The United States has felt the impact of the migration phenomenon changing from positive to negative. Donald Trump as President initiated a policy of building a border wall based on America First by prioritizing national security to realize national interests. This study aims to determine how Donald Trump implemented the immigration policy. Furthermore, whether the policy can be implemented successfully or facing failures depends on the implementation. Through Executive Order 13767, the containment of legal and illegal immigrants and the spread of drugs in the United States. This study uses qualitative methods. Data collection in the form of library research. With analysis using the Van Metter and Van Horn policy implementation method. Which then resulted in the policy being considered unsuccessful. Because Trump's policy stopped in the middle of the road and did not continue with the next President, only negative impacts emerged due to Trump's border wall construction policy.