Article Per Year (5 Year)
p-Index From 2021 - 2026
1.513
P-Index
This Author published in this journals
All Journal International Journal of Educational Narratives International Journal of Educatio Elementaria and Psychologia Journal of Tecnologia Quantica Research of Scientia Naturalis Journal of Social Entrepreneurship and Creative Technology Journal of Multidisciplinary Sustainability Asean
Samantha Gonzales
University of Santo Tomas
Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Library & Information Science Physics Social Sciences Other

Published : 9 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 9 Documents
Search

 1 
Effectiveness of Career Guidance Program in Improving Students’ Job Readiness Sota Yamamoto; Riko Kobayashi; Samantha Gonzales
International Journal of Educational Narratives Vol. 3 No. 2 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijen.v3i2.2153

Abstract

Background. With increasing competition in the labor market, students must possess not only academic knowledge but also the practical skills and emotional readiness to transition into professional environments. Purpose. This study aims to evaluate the effectiveness of a career guidance program in improving students’ job readiness, focusing on key factors such as self-efficacy, communication skills, and career decision-making abilities. Method. A quantitative research design was employed, using pre- and post-surveys to assess the program’s impact on a sample of 300 high school students. The data were analyzed using descriptive statistics and paired sample t-tests. Results. The results indicate a significant improvement in students’ job readiness after participating in the career guidance program. The most notable gains were observed in self-confidence, the ability to make informed career decisions, and the development of job-search skills. Conclusion. The study concludes that career guidance programs are highly effective in equipping students with the necessary skills and mindset to succeed in the job market. Schools and educational institutions should prioritize the implementation of such programs to better prepare students for future employment opportunities.  
The Importance of Character Education in the Digital Era for the Future Slamet Pamuji; Samantha Gonzales; Ali Reza
International Journal of Educatio Elementaria and Psychologia Vol. 1 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijeep.v1i6.1458

Abstract

This research aims to describe the importance of character education in this digital era for the future. This research is qualitative, descriptive and internet searching research. Basically, education is an effort to improve human resource capabilities so that they have character and can live better independently. Character education is a process of applying moral and religious values ??to students through knowledge, applying these values ??both to oneself, to fellow friends, to educators, and to God Almighty. The demand for education to produce quality students continues to be raised so that the whole community is aware that education is important in this digital era. Basically, all the problems that occur at the educational level include religious, national, mutual cooperation, integrity and independence for students. Looking at current developments, many children in society use technology as entertainment, lack morals and have bad social behavior. Therefore it is necessary to develop a sense of responsibility. So as to form a competent generation. The digital era not only has positive impacts but also negative impacts, and the task of educators, parents and adults is to guide and monitor children's behavior in using digital media, so that children can make maximum use of digital media and obtain the maximum benefits. Good for himself and his life.
TECHNOLOGY-ENHANCED LEARNING IN PRIMARY EDUCATION: EFFECTS OF INTERACTIVE DIGITAL PLATFORMS ON STUDENT ENGAGEMENT AND ACHIEVEMENT Samantha Gonzales; Josefa Flores; Andres Villanueva; Ahmad Yani
International Journal of Educatio Elementaria and Psychologia Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijeep.v3i1.3426

Abstract

Technology-enhanced learning has become increasingly prominent in primary education as schools integrate interactive digital platforms to support teaching and learning. These platforms are widely assumed to enhance student engagement and academic achievement, yet empirical evidence at the primary level remains uneven and context dependent. This study aims to examine the effects of interactive digital platforms on student engagement and academic achievement in primary education, with particular attention to the relationship between engagement dimensions and learning outcomes. The study employed a quantitative quasi-experimental design involving experimental and control groups of primary school students. Data were collected using engagement questionnaires, curriculum-aligned achievement tests, classroom observations, and academic records. Inferential statistical analyses were conducted to compare group differences and examine relationships between engagement and achievement. The findings reveal that students exposed to interactive digital platforms demonstrated significantly higher levels of behavioral, emotional, and cognitive engagement than those receiving conventional instruction. Academic achievement scores were also significantly higher in the experimental group. Correlation analysis indicates a strong positive relationship between student engagement and achievement outcomes. The study concludes that interactive digital platforms positively influence engagement-driven learning in primary education when integrated within structured pedagogical practices. Technology-enhanced learning is most effective when engagement functions as a central mechanism linking digital interaction to academic success.
Satellite-Based Quantum Key Distribution for Remote Secure Communication Isabel Martinez; Miguel de la Cruz; Samantha Gonzales
Journal of Tecnologia Quantica Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i5.1685

Abstract

The background of this research focuses on the challenges of remote communication security in the ever-evolving digital era. Satellite-based Quantum Key Distribution (QKD) was chosen as a solution to address security concerns by utilizing the principles of quantum mechanics. The purpose of this study is to evaluate the effectiveness of satellite-based QKD in dealing with atmospheric disturbances and to identify factors that affect the performance of the system under varying weather conditions. The method used is a field experiment by transmitting quantum photons through satellites under various weather conditions and measuring the success rate of signal transmission. The results show that the influence of weather, especially rain and thick clouds, can reduce the success of signal transmission by up to 50%. However, in sunny weather conditions, the success rate reaches 95%. The conclusion of this study is that although satellite-based QKD promises secure communication solutions, atmospheric challenges are still a major obstacle, requiring further development in protocols and technologies to overcome such interference. This research makes an important contribution to the development of satellite-based QKD for safer global communication.
Quantum Machine Learning for Drug Discovery: Accelerating the Simulation of Molecular Hamiltonians on Noisy Intermediate-Scale Quantum (NISQ) Devices Luis Santos; Maria Clara Reyes; Samantha Gonzales; Dito Anurogo
Journal of Tecnologia Quantica Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i4.2796

Abstract

Drug discovery increasingly relies on accurate simulation of molecular Hamiltonians, yet classical computational methods face exponential scaling barriers when modeling complex quantum systems. Recent advances in quantum machine learning (QML) and the availability of Noisy Intermediate-Scale Quantum (NISQ) devices offer new opportunities to accelerate molecular simulation despite hardware noise and qubit limitations. This study aims to evaluate the effectiveness of QML-based variational algorithms in improving the efficiency and accuracy of Hamiltonian simulation for drug-relevant molecules on NISQ platforms. A hybrid quantum–classical methodology was employed, combining variational quantum eigensolvers, noise-aware circuit optimization, and supervised learning models trained to predict energy landscapes. The results demonstrate that QML-enhanced variational circuits significantly reduce computational depth while maintaining competitive accuracy compared to classical methods, particularly for medium-sized molecular systems. The findings also reveal that noise-adaptive training improves algorithm robustness, enabling more reliable energy estimation under realistic quantum noise conditions. The study concludes that QML provides a promising pathway for accelerating early-stage drug discovery by enabling efficient molecular Hamiltonian simulation on current-generation quantum hardware.  
ELECTROCHEMICAL TECHNIQUES IN ENERGY STORAGE: ADVANCES IN SUPERCAPACITORS Catherine Lie; Samantha Gonzales; Dina Ahmed
Research of Scientia Naturalis Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i2.2011

Abstract

has driven significant advancements in electrochemical techniques, particularly in the development of supercapacitors. These devices offer rapid charge and discharge capabilities, making them suitable for various applications, including renewable energy systems and electric vehicles. This study aims to explore the recent advancements in supercapacitor technology through the application of novel electrochemical techniques. The focus is on improving energy density, power density, and cycle life to enhance the overall performance of supercapacitors. A comprehensive review of recent literature was conducted, highlighting innovative materials and techniques used in supercapacitor design. Experimental work involved synthesizing new electrode materials and characterizing their electrochemical performance using techniques such as cyclic voltammetry and electrochemical impedance spectroscopy. Findings indicate that the integration of advanced materials, such as graphene and metal-organic frameworks (MOFs), significantly enhances the electrochemical performance of supercapacitors. The study demonstrated improvements in energy density by up to 50% and power density by 30%, along with extended cycle life under various operational conditions.
AGRICULTURAL SUSTAINABILITY UNDER CLIMATE VARIABILITY: COUPLING CROP PHYSIOLOGY WITH PREDICTIVE STATISTICAL MODELS Ren Suzuki; Samantha Gonzales; Oliver Harris
Research of Scientia Naturalis Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v3i1.3547

Abstract

Agricultural systems are increasingly challenged by climate variability, which disrupts crop productivity and threatens long-term sustainability. Existing approaches often separate physiological understanding from predictive modeling, limiting their ability to capture the complexity of crop responses to environmental stress. This study aims to develop an integrative framework that couples crop physiological processes with predictive statistical models to improve the accuracy and interpretability of agricultural sustainability assessments. A mixed-methods design was employed, combining field-based physiological measurements with advanced statistical and machine learning modeling. Data were collected across multiple agricultural sites, including climatic variables, soil conditions, and key physiological indicators such as photosynthetic rate, stomatal conductance, and water-use efficiency. Predictive models were developed and evaluated using regression analysis and machine learning techniques with cross-validation procedures. Results indicate that models incorporating physiological variables significantly outperform those based solely on climatic data in predicting crop yield. Physiological indicators function as critical mediators between environmental stress and productivity, enhancing both predictive accuracy and explanatory depth. Nonlinear modeling approaches further improve performance by capturing complex interactions among variables. Findings demonstrate that integrating crop physiology with predictive modeling provides a robust framework for understanding and managing agricultural systems under climate variability. This approach supports more adaptive and sustainable agricultural strategies.
BLOCKCHAIN AND INTELLECTUAL PROPERTY RIGHTS: IMPLICATIONS FOR CREATIVEPRENEURS Wijaya Wijaya; Maria Clara Reyes; Samantha Gonzales
Journal of Social Entrepreneurship and Creative Technology Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jseact.v2i2.2051

Abstract

The rapid growth of blockchain technology has raised significant interest across various sectors, including intellectual property (IP) management. In the creative industries, where intellectual property rights (IPRs) are pivotal, blockchain offers a promising solution for ensuring the protection, tracking, and transfer of creative works. With the increasing prevalence of digital content, creativepreneurs face complex challenges related to the ownership and distribution of their creations. Blockchain’s decentralized, transparent, and immutable features make it a potential game-changer in addressing these challenges. This research aims to examine the implications of blockchain technology on intellectual property rights for creativepreneurs. It explores how blockchain can facilitate better protection, enforcement, and monetization of IP assets in the creative industries. A qualitative research approach is employed, utilizing case studies of creativepreneurs who have implemented blockchain solutions in their IP management practices. Interviews with industry experts and stakeholders are also conducted to gather insights into the practical application and effectiveness of blockchain for IP protection. The study reveals that blockchain can enhance IP protection by providing verifiable records of ownership and transactions, reducing the risk of counterfeiting and infringement. Creativepreneurs also report improved trust and efficiency in licensing agreements, ensuring fair compensation for their work.
Analysis of the Effect of Virtual Reality Training on Improving Employee Soft Skills in the Digital Era Zeanette T Lisbet; Samantha Gonzales
Journal of Multidisciplinary Sustainability Asean Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijmsa.v2i2.2242

Abstract

Background. The digital age has prompted organizations to develop a training approach that focuses not only on technical skills, but also soft skills such as communication, collaboration, and leadership. Virtual Reality (VR) is emerging as a promising training medium due to its ability to create immersive and realistic learning experiences. Purpose. This study aims to analyze the influence of Virtual Reality-based training on improving employees' soft skills in a digital work environment. Method. This study uses a quantitative approach with a quasi-experimental design of the non-equivalent control group design. The sample consisted of 60 employees who were divided into two groups, namely experimental (VR) and control (conventional training). Data collection was carried out through pretest and posttest using standardized interpersonal skills instruments. Results. The results of the analysis showed that there was a significant improvement in the experimental group compared to the control group. Interactive simulations through VR have succeeded in improving the aspects of communication, leadership, and teamwork more evenly and in-depth. Conclusion. VR-based training has proven to be effective as a medium for developing employees' soft skills. This technology is able to provide a learning environment that is relevant to the needs of today's world of work and contributes to the transformation of human resource training methods.
Co-Authors Ahmad Yani Ali Reza Andres Villanueva Catherine Lie Dina Ahmed Dito Anurogo Isabel Martinez Josefa Flores Luis Santos Maria Clara Reyes Miguel de la Cruz Oliver Harris Ren Suzuki Riko Kobayashi Slamet Pamuji Sota Yamamoto Wijaya Wijaya Zeanette Tiarma Lisbet