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All Journal IJELR: International Journal of Education, Language, and Religion Journal of Computing Theories and Applications JIAN (Jurnal Ilmiah Administrasi Negara) Journal of Business Technology and Economics (JBTE)
Hamza, Ali
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Religion Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

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Dynamic and Static Handwriting Assessment in Parkinson's Disease: A Synergistic Approach with C-Bi-GRU and VGG19 Ali, Sohaib; Hashmi, Adeel; Hamza, Ali; Hayat, Umar; Younis, Hamza
Journal of Computing Theories and Applications Vol. 1 No. 2 (2023): JCTA 1(2) 2023
Publisher : Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jcta.v1i2.9469

Abstract

Parkinson's disease (PD) is a neurodegenerative disorder causing a decline in dopamine levels, impacting the peripheral nervous system and motor functions. Current detection methods often identify PD at advanced stages. This study addresses early-stage detection using handwriting analysis, specifically exploring the PaHaW dataset for pen pressure and stroke movement data. Evaluating online and offline features, the research employs pre-trained CNN models (VGG 19 and AlexNet) for offline datasets, achieving an overall accuracy of 0.53. For online datasets, velocity, and acceleration features are extracted and classified using Gated Recurrent Unit (GRU), Long Short-Term Memory (LSTM), and recurrent neural networks (RNN), with GRU yielding the highest accuracy at 0.57. Notably, the convolution-based model C-Bi-GRU surpasses other architectures with a remarkable 0.75 accuracy, emphasizing its efficacy in early PD detection. These findings underscore the potential of handwriting analysis as a diagnostic tool for PD, contributing valuable insights for further research and development in medical diagnostics.
Factor Affecting Gross Domestic Product (GDP) Growth in United States (USA) Saleh, Husny Gibreel Musa; Hamza, Ali; Touray, Katim
JIAN (Jurnal Ilmiah Administrasi Negara) Vol. 8 No. 1 (2024): February 2024
Publisher : Universitas Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56071/jian.v8i2.869

Abstract

This study looks at factors influencing the growth of the gross domestic product (GDP) in the United States from 1973 to 2022. Using a multiple regression model, the effects of FDI, rural population growth, and imports of Goods and services were examined about GDP growth. The study found that imports of goods and services, with their value having a positive impact on the dependent variable, are a significant factor in determining the economic growth of the United States. The positive relation of the Imports of goods and services and GDP, growth was attributed to be a measure to control the rising of FDI. It was also discovered that the FDI, Population growth, and rural population are not significant variables in determining economic growth. The study therefore recommends that the United States government and economists prioritize policies and strategies that promote sustainable economic growth, job creation, and innovation. This may involve measures such as investing in education and research, promoting entrepreneurship and small businesses, improving infrastructure, and maintaining a stable and predictable regulatory environment. Additionally, the United States can encourage foreign direct investment (FDI) as a way to attract capital and expertise to the country, but this would depend on the specific circumstances and potential risks and benefits of each investment.
An Econometric & Systematic Analysis of Thailand's Economic Output, Exports and Imports; Utilizing Vector Error Correction Methodology Hamza, Ali; Nechchad, Ferdaous
Journal of Business Technology and Economics Vol. 1 No. 3 (2024): Journal of Business Technology and Economics
Publisher : Pijar Pustaka Widyadhana

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Abstract

Thailand, after Indonesia is Southeast Asia's second-largest economy. Exports made up 65.78% of Thailand's GDP in 2022. The present study, using VECM, measures the long-run effect of import & export on the economic growth of Thailand. For this aim, time series data is obtained for the period of 63 years (1960-2022) from WDI website. Based on literature review, we used logarithmic transformation of variables. The data is analyzed in two sections, descriptive statistics including basic measurement, graphics & correlation while inferential statistics includes unit root testing (ADF & PP), Johansen’s Cointegration test, VECM, Impulse response and model error diagnostics. Interestingly Import & Export are found equally contributing to GDP with equal average. The correlation matrix explains significant relation among all variables at α=1%. Stationary of whole series is recorded at 1st difference, I(1). Cointegration test confirms the presence of one co-integrated equation. The VECM incorporates the co-integration model representing negative and statistically C(1) as coefficient of error correction, suggesting the presence of a long-term causal relationship among imports, exports and GDP. Impulse response of LN_GDP & LN_EXP indicates upward impact in them while LN_IMP depict downward trends. The residuals obtained from the Vector Error Correction Model exhibit independent variables (without autocorrelation), follow a normal distribution, and are devoid of heteroskedasticity.
Examining the Nexus: A Statistical Analysis of Factors Shaping Academic Performance Hamza, Ali; Saddiqua, Ayesha
IJELR: International Journal of Education, Language, and Religion Vol 6, No 2 (2024): November
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/ijelr.v6i2.9217

Abstract

Education stands as a nation's paramount legacy, particularly to its young populace, shaping the course of a society's advancement. The quality of education a nation provides significantly dictates its progress. This study is conducted to explore the diverse factors influencing academic performance among students at Punjab University. A sample of 276 students was drawn utilizing Yamane’s formula through random sampling and data collection employed questionnaires. CGPA is used as the measure of academic performance of students. Data Analysis is done using SPSS. Results are portrayed descriptively using frequencies, percentages, and visual aids, while inferential statistics included Pearson’s Chi-Square unveil associations, Factor Analysis to extract academic factor, Mann-Whitney U and Kruskall-Wallis H tests to explore the opinions of students for different variables. Interestingly, no direct link emerged between respondents' CGPA and gender, but a notable correlation emerged between CGPA and their mothers' educational background. Via Conformity Factor Analysis four key factors surfaced: attitudes toward study, ability of time management, learning facilities and teachers’ professionalism. Mann-Whitney U test divulged differing opinions between male and female respondents concerning time management abilities and their attitudes toward studying. Additionally, Kruskall-Wallis H test highlighted varying perspectives among students of different CGPA levels regarding attitudes toward studying and teachers’ professionalism. Finding suggests that administration should not only focus on teacher trainings but also improve learning facilities.
Toward Efficiency Public Policy : Lessons from the Uzbekistan’s UzIMEI System Dilbarova, Malika; Hamza, Ali; Khan, Ebrima; Kumalasari, Ana
JIAN (Jurnal Ilmiah Administrasi Negara) Vol. 9 No. 2 (2025): September 2025
Publisher : Universitas Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56071/jian.v9i2.1265

Abstract

This study critically examines the UzIMEI system—Uzbekistan’s mobile device registration and customs policy—through the lens of public administration, focusing on policy efficiency, digital governance, and social equity. Implemented in 2024, the UzIMEI system aimed to formalize imports and improve tax compliance. However, it has encountered significant operational challenges, including manual processing delays, a flat-rate fee structure that disproportionately burdens low-income users, and limited public awareness. Using a literature review methodology, this paper evaluates the administrative shortcomings of UzIMEI and draws comparative insights from international best practices in Indonesia, India, and Kenya. These countries have adopted digital automation, tiered taxation, and public outreach campaigns to improve policy compliance and public service delivery. The analysis highlights that effective public policy must balance efficiency with equity and transparency. The study concludes that a hybrid reform model—comprising digital system integration, progressive fee structures, and citizen engagement strategies—offers the most viable path forward. By implementing such reforms, Uzbekistan can enhance both the effectiveness and fairness of its public services, positioning itself as a leader in equitable digital governance. This research contributes to the broader discourse on digital transformation and inclusive policy-making in emerging public administration contexts.
Co-Authors Ali, Sohaib Dilbarova, Malika Hashmi, Adeel Hayat, Umar Khan, Ebrima Kumalasari, Ana Nechchad, Ferdaous Saddiqua, Ayesha Saleh, Husny Gibreel Musa Touray, Katim Younis, Hamza