Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal International Journal of Educational and Life Sciences (IJELS) International Journal of Integrated Science and Technology
Aditia Putra Hamid
Unknown Affiliation
Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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

Found 2 Documents
Search

 1 
Predictive Machine Learning Model to Predict the Price Movements of Cryptocurrency Meme Coin in the Solana Ecosystem Aditia Putra Hamid
International Journal of Integrated Science and Technology Vol. 2 No. 9 (2024): September 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v2i9.2546

Abstract

The meme coin ecosystem on the Solana blockchain is showing rapid growth in 2024, thanks to its superior blockchain technology and strong community support. Meme coin projects such as BONK, and DOGWIFHAT have leveraged these advantages to thrive in the Solana ecosystem. This study aims to build a prediction model for the price movement of meme coin cryptocurrencies in the Solana ecosystem using the Long Short-Term Memory (LSTM) method, with Adam optimization. Historical meme coin price data is taken as the research dataset, and the model is trained using LSTM with several epoch variations to obtain the best results. The model is evaluated using Mean Absolute Error (MAE), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE). The experimental results show that the LSTM model with Adam optimization can provide fairly accurate predictions, with the best performance at epoch 75 where the model successfully achieves a balance between training and testing data performance, without experiencing overfitting. This study provides valuable insights for investors, developers, and policymakers into the dynamics of the meme coin ecosystem on Solana and its potential use in the development of blockchain technology. With a better unders
Blockchain Technology for Employee Verification and Background Checks in the Human Resources Recruitment Process Aditia Putra Hamid; Edi Sugiono; Hasanudin
International Journal of Educational and Life Sciences Vol. 2 No. 7 (2024): July 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijels.v2i7.2294

Abstract

Blockchain technology offers an innovative solution for employee verification and background checks in the human resources (HR) recruitment process. This research aims to explore the application of blockchain technology in employee verification and background checks in the human resource (HR) recruitment process through prototype development and evaluation. This research methodology uses a qualitative approach with a focus on prototype design and testing. With a decentralised and transparent system, blockchain can reduce costs, increase trust, and protect personal data. The results show that the adoption of blockchain in recruitment can optimise operational efficiency and minimise the risk of data fraud.
Co-Authors Hasanudin Sugiono, Edi