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International Journal of Applied and Advanced Multidisciplinary Research (IJAAMR)
Published by MULTITECH PUBLISHER
ISSN : -     EISSN : 30262437     DOI : https://doi.org/10.59890/ijaamr.v1i2
Core Subject : Economy, Humanities, Education, Social, Engineering,
Humanities Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Education Social Sciences
International Journal of Applied and Advanced Multidisciplinary Research (IJAAMR) is a multidisciplinary journal that publishes high quality research papers in the areas of Business Management, Agriculture, Information Technology, Engineering, Health & Life Science, Zoology, Humanities, Applied Sciences, Biology, Criminal Justice, History, Public Administration, Political Science, Sociology, Social, English, Science, Mathematics, Human Resource Management, Accounting, Business Administration and Management, Computer Science, Communication, etc. International Journal of Applied and Advanced Multidisciplinary Research (IJAAMR) publishes articles monthly.
Arjuna Subject : Teknik (semua kategori) - Teknik Sipil dan Struktur
Articles 90 Documents
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Fortifying Data Security: Node.js Authentication, Authorization, and the Dark Web Influence in Modern Web Apps Shah, Sarthak; Anuja Phapale
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 3 (2023): November 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i3.679

Abstract

This paper delves into the crucial aspects of authentication and authorization in modern web applications with a focus on enhancing data security. It explores the use of Node.js, a versatile server-side language, for building web applications and discusses the significance of a secure website for establishing trust between clients and servers. The research covers the implementation of authentication using packages and hashing algorithms, emphasizing the importance of "salt" and "pepper" for password security. Authorization methods, including cookies, sessions, and middleware, are also explored. The paper highlights the necessity of robust security measures to safeguard user data from the dark web and points to future directions in web security, including the role of blockchain and artificial intelligence in the WEB3 landscape.
Traffic Flow Prediction on Road using Machine Learning Anuja Phapale; Sushant Shravagi
International Journal of Applied and Advanced Multidisciplinary Research Vol. 2 No. 1 (2024): January, 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v2i1.690

Abstract

The Intelligent Transportation System (ITS) plays a vital role in numerous smart city applications, particularly in improving transportation and commuting processes. A primary goal of ITS is to tackle traffic-related challenges, especially the issue of traffic congestion. The prediction system for road traffic flow has significant relevance in urban transportation and area management. Many urban centers grapple with the daunting task of effective traffic management. However, the incorporation of predictive modeling that considers environmental and weather conditions, such as rainfall and thunderstorms, has proven to be remarkably effective. In response to this challenge, we have introduced a road traffic flow prediction model specifically designed to forecast traffic conditions at hourly intervals extending up to 24 hours. Although various algorithms have been applied in previous research, there is a notable absence of accessible and user-friendly platforms dedicated to road traffic flow prediction.
A Decade of Research on the Effectiveness of Augmented Reality on Students with Special Disability in Higher Education Anuja Phapale; Aditya Shiledar
International Journal of Applied and Advanced Multidisciplinary Research Vol. 2 No. 1 (2024): January, 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v2i1.709

Abstract

This short article summarizes a decade of research on the effectiveness of augmented reality (AR) in higher education for students with disabilities in particular. The study examines how AR technology has been used to enhance the learning experience of these students. Through a comprehensive review of multiple studies and findings, this study examines the impact of AR on access, engagement, and overall educational outcomes for students with unique disabilities. The findings highlighted significant progress in the field, shedding light on the potential of AR to provide inclusive and effective learning environments for this student population, thereby contributing to a broader discussion of technical and higher education.
Targeted Display Advertising using Machine Learning Chaitali Khachane
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 3 (2023): November 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i3.715

Abstract

This paper delves into the intricate challenges of problem formulation and data representation in the context of a large-scale machine learning system for targeted display advertising. Unlike traditional models, this system is not just conceptual but has been operational for years across thousands of advertising campaigns. Since obtaining ideal training data is cost-prohibitive, data is sourced from related domains and tasks and then adapted for the target task. The paper outlines the architecture of this multi-stage transfer learning system, emphasizing the problem formulation aspects. Extensive experiments demonstrate the value of each transfer stage. Real-world results with diverse advertising clients from various industries showcase the system's performance. The paper concludes with valuable insights gained from over half a decade of work on this complex, widely deployed machine learning system.
3D Motion Gesture Control : Gesture Recognition and Adaptation for Human Computer Interaction Anuja Phapale; Shriya Sawashe
International Journal of Applied and Advanced Multidisciplinary Research Vol. 2 No. 1 (2024): January, 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v2i1.730

Abstract

Advancements in human-computer interaction (HCI) have paved the way for more intuitive and immersive interfaces. The first part of the paper delves into the fundamental principles of 3D gesture recognition, including sensor technologies, machine learning algorithms, and computer vision techniques. It discusses the challenges associated with accurate recognition in various environmental conditions and the ways in which these challenges are being addressed by researchers. The second part focuses on the adaptation aspect of the technology. It highlights how 3D gesture recognition can be integrated into adaptive HCI systems, enabling personalized and context-aware interactions. These adaptations can range from adjusting the interface layout to suit the user's preferences to dynamically changing the system's behavior based on the user's gestures. Additionally, the paper discusses the potential applications of 3D gesture recognition in fields such as gaming, virtual reality, healthcare, and beyond. It emphasizes the need for continued research to improve accuracy, robustness, and user-friendliness, ultimately driving the widespread adoption of 3D gesture recognition in HCI.
The Influence Of Providing Rewards And Reinforcement On Stuedent Learning Outcomes In Class IV Mathematics At State Primary School 106143 Sukamaju School Year 2022/2023 Abi, Antonius Remigius; Sitanggang, Paskah Afriani; Lumbanraja, Bogol; Regina Sipayung; Rumiris Lumban Gaol
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 3 (2023): November 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i3.802

Abstract

  This study aims to determine the effect of giving rewards and reinforcement on student learning outcomes in mathematics in class IV at SD Negeri 106143 Sukamaju for the 2022/2023 academic year. In this study, researchers used quantitative methods. The population used was all students at SD Negeri 106143 Sukamaju with a sample of 31 students. Sampling using nonprobability sampling. The results of this study indicate that the results obtained from correlation test can be seen in the correlation coefficient of r (count) 0.689 ≥ r (table) 0.355, it can be concluded that the alternative hypothesis (Ha) is accepted, that is, there is a significant effect between reward and reinforcement on student learning outcomes at SD Negeri 106143 Sukamaju. It can also be seen from the results of the t-test where t (count)> t (table) is t (count) of 5.113 and t (table) of 2.042, then the hypothesis (Ha) is accepted. This shows that there is a significant positive effect between the provision of rewards and reinforcement and mathematics learning outcomes in class IV of SD Negeri 106143 Sukamaju for the 2022/2023 academic year.
Arms Control as a Climate Mitigation Strategy: Examining the Nexus Ahmad, Munir; Muhammad Karim; Zahid Hussain; Alyas Ali Chaichi
International Journal of Applied and Advanced Multidisciplinary Research Vol. 2 No. 1 (2024): January, 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v2i1.971

Abstract

Global ecosystems are seriously threatened by climate change, which calls for creative mitigation strategies. In an effort to fill a knowledge vacuum on the subject, this paper investigates the relationship between arms control and climate change mitigation. Specifically, it looks at how arms control policies may boost climate resilience. The research utilizes a thorough literature assessment, incorporating past viewpoints on arms control and current approaches to mitigating climate change. Approach-wise, a qualitative study is carried out to evaluate the empirical and theoretical relationship between weapons control policies and climate change mitigation. Important conclusions show that some weapons control programs can favorably impact climatic outcomes, offering a little-considered option for tackling environmental and security issues. The policy implications highlight the necessity of a more integrated approach to environmental governance and security, and the creation of focused, interdisciplinary policies is emphasized in the recommendations for future research. This study adds to the current conversation on mitigating climate change by providing a fresh viewpoint that supports the double advantages of successful arms control policies in promoting environmental sustainability on a worldwide scale.
The Influence of Work Environment on Employees' Work Productivity with Motivation as an Intervening Variable at PT. Tirta Sari Surya Indragiri Hulu District Yenny Iskandar; Afriaris, Said; Astarman
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 4 (2023): December 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i4.1124

Abstract

The reduced growth in employee productivity levels can cause various problems such as low levels of profits for the company. Therefore, productivity is very important to pay attention to. Apart from that, the importance of this is also because a high level of productivity will be able to strengthen the country's economy which will then have an impact on increasing the standard of living, improving the quality of life in other words. Productivity can be said to be a measure that shows the consideration between input and output issued by the Company and the role of labor per unit of time, or in other words, measuring efficiency requires identifying performance results.
Smart Cities can Benefit from Energy Savings Made Possible by Spending on Intelligent Transportation System for Society 5.0 Mahat, Dipak; Reeya Agrawal
International Journal of Applied and Advanced Multidisciplinary Research Vol. 2 No. 2 (2024): February 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v2i2.1257

Abstract

Studies highlighted the interconnectedness of Intelligent Transportation Systems (ITS), Smart Cities, and Society 5.0, envisioning a future where these concepts collectively propel urban development. The study emphasized the role of ITS in Society 5.0, promoting safer, more efficient, and environmentally friendly transportation options. The methodology entailed a thorough review of academic sources and a variety of data collection methods. The findings indicated an increased reliance on ITS in smart cities, with a focus on adapting to multiple information sources. The discussion emphasized the critical role of ITS in achieving Society 5.0's goals, establishing a synergistic path for innovative, human-centric urban environments. Overall, the study envisions a future in which seamless integration of technology within smart cities improves urban mobility, reduces congestion, and promotes data-driven decision-making for societal progress.
Assessing R&D Investment Policy in the Indonesian Defense Sector: Towards Long-Term Sustainability Sarjito, Aris
International Journal of Applied and Advanced Multidisciplinary Research Vol. 2 No. 1 (2024): January, 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v2i1.1262

Abstract

The research examines the current state of research and development (R&D) investment policies in the Indonesian defense sector, focusing on their sustainability and long-term impact. It uses institutional, implementation, network, and innovation diffusion theories and secondary data analysis. The findings reveal institutional influences, challenges in implementation, bureaucratic coordination, and measures to enhance long-term sustainability. Historical, cultural, and regulatory factors influence R&D policies, while limited resources make implementation difficult. The study emphasizes the importance of collaboration between the public and private sectors and continuous monitoring and evaluation. The findings provide recommendations for fostering innovation, overcoming challenges, and ensuring the sector's resilience.

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