http://ijaems.com/ Open Access international Journal to publish research paper en-us March The integration of AI-powered automated code review tools has significantly transformed Agile software development by improving efficiency, maintaining coding standards, and enhancing developer productivity. These tools streamline repetitive tasks, identify potential issues early, and enforce consistency in code quality. However, their adoption comes with challenges such as accuracy constraints, difficulties in integrating with legacy systems, and hesitation among developers. This research employs a mixed-methods approach, combining qualitative and quantitative techniques to examine the benefits, challenges, and best practices associated with AI-driven code reviews. To gather insights, surveys and interviews were conducted with software engineers, DevOps professionals, and Agile practitioners. Additionally, real-world case studies analyzed how organizations have implemented AI-based code reviews, while an experimental study measured performance indicators such as error detection rates, review efficiency, and developer workflow improvements. The findings suggest that AI tools significantly reduce code review time, enhance consistency, and allow developers to concentrate on complex problem-solving rather than manual review processes. However, AI's inability to fully grasp context-sensitive issues, challenges in analyzing complex code logic, and resistance from developers remain notable barriers. Concerns about job security and loss of control over decision-making further contribute to adoption challenges. To overcome these issues, this study emphasizes the importance of a balanced approach where AI tools assist rather than replace human reviewers. Regular training and updates are crucial to improving AI accuracy and keeping pace with evolving coding practices. Gradual integration with existing systems can mitigate compatibility challenges, while transparent communication can help alleviate developer concerns. Additionally, establishing a validation mechanism, where human reviewers verify AI-generated recommendations, can enhance reliability and trust in these tools. In conclusion, while AI-driven automated code reviews offer substantial benefits for Agile teams, their successful implementation depends on strategic deployment, ongoing refinements, and a well-balanced collaboration between AI and human expertise. By following best practices, organizations can optimize AI-assisted code reviews, ultimately improving software quality and streamlining development workflows. http://ijaems.com/detail/integrating-ai-driven-automated-code-review-in-agile-development-benefits-challenges-and-best-practices/ Saad Ahmed http://ijaems.com/upload_images/issue_files/1IJAEMS-10320251-Integrating.pdf This study explores the job satisfaction of faculty members at the College of Management, Business, and Technology (CMBT). The results indicate high satisfaction levels regarding compensation, recognition, and work-life balance, with faculty members feeling particularly valued by their superiors, colleagues, and students. Opportunities for career growth and the work environment also received positive feedback, though to a slightly lesser extent. Interpersonal relations were highly rated, suggesting strong professional connections within the faculty. This study provides valuable insights into the factors influencing job satisfaction among CMBT faculty, offering guidance for institutional policies to enhance faculty well-being and professional fulfillment. http://ijaems.com/detail/job-satisfaction-determinants-among-faculty-members-a-comprehensive-analysis-of-college-of-management-and-business-technology/ Vivien Amor Viloria, Dr. Reynante P. Blas, Mercy V. Torres, Raphael R. Aduna http://ijaems.com/upload_images/issue_files/2IJAEMS-10320253-JobSatisfaction.pdf Economic empowerment is a critical driver for achieving gender equality, poverty reduction, and inclusive growth. This study examines the pivotal role of District Central Cooperative (DCC) Banks in empowering women through Self-Help Groups (SHGs) in Maharashtra and Karnataka. By analyzing secondary data from NABARD reports and other scholarly sources, the research compares the growth trajectories, savings patterns, and loan disbursement trends across the two states from 2018-19 to 2022-23. The findings reveal that Maharashtra experienced rapid SHG expansion and increased loan disbursement, while Karnataka maintained higher per-group financial support despite slower growth. The study underscores the importance of cooperative banks in enhancing financial access, promoting savings, and facilitating credit for women SHGs, ultimately contributing to their economic empowerment. Recommendations include targeted regional strategies, financial literacy programs, and digital banking solutions to sustain and expand women’s financial inclusion. http://ijaems.com/detail/women-s-economic-empowerment-through-microfinance-role-of-cooperative-banks-of-maharashtra-and-karnataka-a-comparative-analysis/ Ms. Vijayashri M. Bhagawati, Dr. Aditya Jagadish, Ms. Sonal S. Kadam http://ijaems.com/upload_images/issue_files/3IJAEMS-102202511-Women.pdf The liquid level automatic control system of a single-capacity water tank is a common industrial process control system, which is widely used in industrial production. Through simulation research, it can effectively ensure the stability of the liquid level of the water tank and meet the requirements of liquid level control in the production process. In this paper, the automatic control system model of a single-volume water tank level is established by MATLAB/Simulink, and its control system is studied and compared. Firstly, the physical modeling of the control system is carried out to obtain its transfer function, which is the basis for subsequent simulation. Then, the influence of Proportional–Integral–Derivative (PID) control parameters on the dynamic characteristic curve of the system is understood, and then the characteristics and application occasions of fuzzy PID control and Particle-Swarm-Optimization (PSO) control are deduced. Finally, the system dynamic characteristic curves of PID control, fuzzy PID control, and PSO control are compared and analyzed. The simulation results show that PID control, fuzzy PID control, and PSO control are suitable for different occasions, and appropriate control strategies can be adopted according to different control system conditions. http://ijaems.com/detail/the-control-analysis-of-single-capacity-water-tank-liquid-level-system-based-on-pso-optimized-fuzzy-pid/ Zixuan Tan, Rong-Guei Tsai, Yan-Zuo Chang, Ruei-Yuan Wang, Jian-Zhi Weng, Ho-Sheng Chen http://ijaems.com/upload_images/issue_files/4IJAEMS-10320255-TheControl.pdf The worldwide boom in the use of wireless services has led to previously unheard-of levels of expansion for mobile connections and apps. Data traffic has increased dramatically as a result of this rise in activity, which has led to a research into solutions to meet this need. mm wave bands and very dense deployment are two of main features of fifth-generation (5G) networks. These solutions have resulted in a noticeable increase in the frequency of handovers (HOs), which has raised the incidence of dropped calls and unnecessary handovers. In order to address these problems during user mobility, it becomes imperative to optimize the control parameters associated with handovers. This research contribution provides a self-optimizing handover technique that leverages fuzzy coordination to enable smooth handovers as users move across multi-radio access networks. The suggested technique employs a fuzzy system that takes into account the S/I (signal-to-interference) plus noise ratio, cell load & user equipment speed to effectively balance the opposing requirements of mobility resilience and load balancing. The suggested approach effectively manages and optimizes mobility in a variety of mobile speed circumstances, decreasing ping-pong handovers, radio link failures, and handover delay. This is shown by simulation results. Additionally, the proposed technique greatly minimizes the outage probability when compared to other schemes discovered in the existing literature. http://ijaems.com/detail/handover-optimization-scheme-for-5g-heterogeneous-network/ Muhammad Adnan Rafiq http://ijaems.com/upload_images/issue_files/5IJAEMS-10320252-Handover.pdf The study focused on how the food and beverage industry in Nueva Ecija faced the challenges brought about by the pandemic and remained lucrative post-pandemic. This study on marketing, operation, management, and financial involvement is essential in the industry to address tension from the global crisis. Digital marketing tools are essential for the marketing and operations of food and beverage businesses. Most of the establishments incorporate in their ventures the use of technologies such as social media sites, ordering applications online, and other digital applications that would bring in more profit. The changeover attracts more customers, saves on costs, and generates more income. Financial turnover, personnel training, superior customer service, and technological investment enhance operational efficiency and cost savings. To survive, management must be agile, flexible, and prompt. It has to handle the establishment's resources prudently, and its financial policy must be readjusted immediately. Health and safety protocols must also be updated because this is one way the establishment will be prevented from financial constraints. It must focus on budgeting, debt arrears, and cost controls with much caution because these are its securities against economic outcomes. The present study shall provide practical guidance for the food and beverage industry stakeholders desirous of success post-pandemic. It emphasizes the measures the institution has taken to contain the crisis and, in general, outlines a vision for long-term growth and stability in the industry. http://ijaems.com/detail/food-and-beverage-industry-in-post-pandemic-business-strategies-and-profitability/ Janry Paul Aganon Santos http://ijaems.com/upload_images/issue_files/6IJAEMS-10320254-Food.pdf An organizations sales and technology synergy is a vital source of market intelligence and a key facilitator of the successful implementation of technocommercial strategy Many companies have traditionally operated in isolated silos with little interaction between their technology and sales departments But more businesses have realized in recent years how beneficial it is to connect these functions Significant gains in overall company performance have been attributed to this strategic merger A particular facet of the connection between improved business performance and salestechnology integration is examined in this research study More specifically it examines whether the seamless engagement between technology and sales operations in businesstobusiness B2B businesses makes it easier to develop and to execute newstrategies effectively due to market shifts The proposed model indicates that the success of market intelligence acquisitionin an organization can be largely predicted by the extent of interaction among some key variables where this interaction defines the level of integration This knowledge when applied effectively alsoassists businesses in responding strategically and adapting to changing consumer needs and market conditions This study aims to be able to uncover the complex relationships between various components in order to facilitate trends in the market and stimulateproactive responses It calls for a comprehensive strategy that can build a sustainable competitive advantage in an evolvingbusiness environment and argues for the importance of breaking down traditional lines of separation between sales and technology roles http://ijaems.com/detail/the-role-of-sales-and-technology-integration-in-increasing-sales-revenue-in-the-corporate-market/ Muhammad Umair Khan, Ahmed Zia Arshad http://ijaems.com/upload_images/issue_files/7IJAEMS-10320259-TheRole.pdf Social media has significantly influenced how individuals share information, impacting their behavior and well-being. This study examines the impact of determinants of information sharing on social media platforms—Attitude, Intention to Share, Frequency of Sharing, Privacy Risk, and Perceived Control on the well-being of individuals. Data was collected from 116 respondents in the Punjab region using convenience sampling via Google Forms. The study employed Cronbach’s Alpha to assess reliability, while correlation and regression analyses were conducted using SPSS to examine relationships between variables. Results indicate that Perceived Control over shared information is the strongest predictor of well-being, whereas other factors influence sharing behavior but do not directly enhance well-being. The findings highlight the importance of user autonomy and privacy controls in promoting a positive digital experience. http://ijaems.com/detail/sharing-for-better-or-worse-how-social-media-and-online-information-sharing-influence-individual-well-being/ Parvinder Kaur, Rahul Dhiman http://ijaems.com/upload_images/issue_files/8IJAEMS-10320258-Sharing.pdf Employee well-being is a crucial determinant of organizational success, impacting productivity, engagement, and overall morale. Organizations that prioritize the well-being of their employees tend to experience higher levels of job satisfaction, reduced turnover, and improved performance. Organizational psychology provides a comprehensive framework to analyze and enhance employee well-being by addressing fundamental factors such as organizational culture, leadership, job design, and interpersonal dynamics. This paper explores the intricate relationship between organizational psychology and employee well-being, highlighting how psychological theories and research can be applied to create healthier work environments. Organizational culture plays a significant role in shaping employees' perceptions of their workplace, influencing their motivation and commitment. Leadership practices, including communication, support, and trust-building, are pivotal in fostering a positive and inclusive work atmosphere that enhances well-being. Job design, which encompasses the alignment of tasks with employees’ skills, interests, and values, contributes to job satisfaction and reduces stress. Interpersonal dynamics, including team collaboration and conflict resolution, also significantly impact emotional well-being and workplace harmony. The paper further presents evidence-based strategies to improve employee well-being. These strategies include fostering a positive organizational culture, promoting transformational leadership, offering opportunities for personal and professional growth, and implementing flexible work arrangements. By applying principles from organizational psychology, companies can not only enhance employee well-being but also achieve greater organizational success through increased productivity, improved employee engagement, and higher retention rates. In conclusion, the integration of organizational psychology principles into everyday business practices is essential for cultivating a supportive and thriving work environment. By focusing on employee well-being, organizations can create a sustainable, positive workplace that drives long-term success. http://ijaems.com/detail/the-role-of-organizational-psychology-in-enhancing-employee-well-being/ Dr. Danesh Kumar Dewangan http://ijaems.com/upload_images/issue_files/9IJAEMS-10220255-TheRole.pdf Workplace culture significantly influences business performance, employee engagement, and organizational success. A positive and psychologically sound workplace environment fosters motivation, productivity, and innovation, while a toxic culture can lead to disengagement, high turnover, and business failure. This paper explores the psychological foundations of workplace culture, including theories of motivation, emotional intelligence, and behavioral psychology. It examines how culture affects decision-making, leadership effectiveness, and employee well-being. The study concludes that businesses that invest in cultivating a strong, inclusive, and psychologically supportive culture achieve long-term success and competitive advantage. http://ijaems.com/detail/the-impact-of-workplace-culture-on-business-performance-a-psychological-approach/ Dr. Danesh Kumar Dewangan http://ijaems.com/upload_images/issue_files/10IJAEMS-10220257-TheImpact.pdf The Criminologist Licensure Examination (CLE) marked a significant milestone as the first conducted under the new Commission on Higher Education Memorandum Order (CMO) for Criminology and Republic Act No. 11131. This pioneering batch consisted primarily of K-12 program graduates, many of whom experienced online learning due to the global pandemic. Against this backdrop, the college’s institutional performance in the CLE has shown a declining trend in recent years, raising concerns about the preparedness of its graduates and its overall standing. This study aimed to assess the college’s CLE performance over the past six years, spanning twelve examination periods, and to analyze examinees' results across the six major criminology subject areas. Using the Documentary and Archival Inquiry Research Method, institutional performance data from April 2016 to December 2022 were obtained from the Professional Regulation Commission (PRC) website, while individual subject performance data were collected directly from examinees. Descriptive statistical tools, including frequency counts, mean scores, and percentages, were employed for data analysis. Findings revealed that the college exceeded the national passing percentage in only three out of twelve examinations (25%). Among the six major subject areas, "Correctional Administration" recorded the highest mean score (82.22%), whereas "Criminology" had the lowest (75.88%). These results underscore the need for targeted interventions to address performance gaps and enhance the overall quality of criminology education. This study provides valuable insights into institutional trends and key areas for improvement, offering a foundation for strategic reforms in criminology education and licensure preparation. http://ijaems.com/detail/trends-in-criminologist-licensure-examination-performance-a-study-of-criminology-graduates-from-capiz-state-university/ Jason B. Capundan, Verna R. Belarmino http://ijaems.com/upload_images/issue_files/11IJAEMS-10120256-Trends.pdf Urban traffic congestions cause delays and ineffi- cient fuel expenditure in cities. Regular fixed-time-based traffic systems are not able to respond quickly to real-time conditions and thus cannot manage traffic efficiently. This paper proposes an adaptive traffic control system using an Arduino microcontroller to automatically adjust signal timings based on vehicle density detected by IR sensors. Moving traffic is monitored by the system in real-time to optimize signal changes for better flow and reduce congestions. The other technology associated is RFID, which creates a foolproof emergency vehicle pass using minimal time delay at intersections. The system provides priority to emergency vehicles while optimizing other traffic. This system improves the efficiency of traffic and decreases the waiting time, which enables better road clearance for emergency service vehicles. The model is cost-effective, very adaptable, and promises a great step forward in urban traffic management. http://ijaems.com/detail/density-based-traffic-control-system-and-emergency-vehicle-detection-using-arduino/ Ankita Jangir, Divya Jain, Khushi Nayak, Vikas Ranveer Singh Mahala http://ijaems.com/upload_images/issue_files/12IJAEMS-103202513-Density.pdf The research examines the impact of Taiwan's 2024 pedestrian safety policy amendment, which increased penalties for failing to yield to pedestrians. Analysis of 528 data points from 2023-2024 using a Difference-in-Difference (DID) methodology revealed significant temporal and spatial variations in effectiveness. Early 2024 showed increased accident rates, particularly in January, but demonstrated improvement by mid-year, with notable reductions in July—August compared to 2023. Infrastructure analysis indicated varying risk levels across intersection types, with unsigned intersections showing the highest risk coefficient and signalized intersections and flashing-signal intersections having the lowest risk. Metropolitan areas exhibited more significant fluctuations than rural regions. Based on these findings, the study recommends implementing differentiated time management mechanisms, prioritizing infrastructure improvements at high-risk intersections, and establishing region-specific enforcement strategies. Additionally, the research emphasizes the importance of enhancing pedestrian safety education and driver awareness to address Taiwan's longstanding "car-superior" traffic culture and improve overall road safety outcomes. http://ijaems.com/detail/the-impact-of-enforcement-on-pedestrians-a-difference-in-difference-model-for-transportation-safety-policy-in-taiwan/ I-Ching Lin http://ijaems.com/upload_images/issue_files/13IJAEMS-10320259-Thempact.pdf Achievement of transmission (full duplex) over single fiber is a challenge for researchers for Wavelength Division Multiplexed Passive Optical Networks. There are many schemes available but they suffer from transmission issues because of using transmissions on the same wavelength with bidirectional transmissions. This results in the reduction of transmission distances between optical fiber terminal equipment and the optical network units. This happens because Rayleigh’ backscattering noise and there is a need to reduce that noise substantially. In this research work channels capacity Dense Wavelength Division Multiplexing (DWDM), Passive Optical Networks (PON) are simulated after extensive testing. The main aim is enhancing the capacity over a distance with less bit error rates. This was achieved through the design optimization using Rayleigh’ Backscattering elimination technique thus enhancing the performance. http://ijaems.com/detail/mitigation-of-rayleigh-backscattering-in-wdm-passive-optical-access-networks/ Mansoor Ali http://ijaems.com/upload_images/issue_files/14IJAEMS-10420256-Mitigation.pdf This study analyzed the influence of Human Resource Management (HRM) practices, workplace culture, and training and development on employee performance at National Irrigation Administration (NIA) – Upper Pampanga River Integrated Irrigation Systems (UPRIIS), Division II, in Talavera, Nueva Ecija. Using a quantitative research design, data were collected from 84 employees through a structured Likert-scale questionnaire. Descriptive statistics....... http://ijaems.com/detail/the-influence-of-hrm-practices-workplace-culture-and-training-on-employee-performance/ Dr. Nestor C. Natividad, Dr. Rommel G. Rivera, Mr. Julius Ceasar D. Gapuz, Dr. Renato L. Virola http://ijaems.com/upload_images/issue_files/15IJAEMS-10420253-TheInfluence.pdf The journey of AI development has changed the face of technology and put humans into a new race. Along with excelling in technical fields, AI has proved its worth in finance and business. Initially, commercial roles, including marketing, were a very cornered topic when mixed with technology, but with the dynamic shift in technology-driven businesses, AI-business strategies are breaking limitations. This research paper explores the integration of AI in the world of digital marketing and its implementation for growth in digital marketing. http://ijaems.com/detail/impact-of-artificial-intelligence-in-space-of-digital-marketing/ Yask Jitendra Tiwaari, Om Shivbalak Yadav, Sumit Rajesh Yadav, Sonali Singh, Aaryan Ajay Yadav http://ijaems.com/upload_images/issue_files/16IJAEMS-10420258-Impactof.pdf The study aims to investigate how first-year students select a career in the hospitality and tourism industry. As the industry is growing globally, it is important to know students' motivation, perception, and career expectations to create development plans in alignment with their goals. It is surveyed using the Likert scale, which investigates the factors that have significant influence, such as personal interest, family, industry growth, and education. The result shed the foundation for designing an individualized career development plan to encourage students' academic progress while contributing towards their prepared future in hospitality and tourism management. http://ijaems.com/detail/factors-influencing-career-choices-among-first-year-students-focus-on-hospitality-and-tourism-management/ Janry Paul Aganon Santos, Mark Alvin H. Abad http://ijaems.com/upload_images/issue_files/17IJAEMS-10420257-Factors.pdf Since the onset of the COVID-19 pandemic, thousands of clinical trials have been launched to evaluate the effectiveness of interventions aimed at preventing or treating the virus. While many of these studies reached completion, a notable proportion were prematurely cessated. Using a comprehensive XML dataset of 5,783 COVID-19 trials registered on ClinicalTrials.gov, we developed a machine learning model to predict whether a trial was likely to be completed or cessated. Our findings, supported by token frequency analysis, highlighted those specific variables, namely the type of intervention and the trial location, played a significant role in distinguishing between outcomes. Trials that included ‘hydroxychloroquine’ or ‘azithromycin’ as interventions, and those conducted in locations such as ‘France,’ were more frequently associated with early cessation, reflecting shifting scientific consensus and regulatory changes over time. http://ijaems.com/detail/using-tokenization-and-random-forest-models-to-predict-pandemic-trial-outcomes/ Apeksha Mewani http://ijaems.com/upload_images/issue_files/18IJAEMS-10420255-Using.pdf This conceptual review investigates the emerging paradigm of Social Media Wellness (SMW) and its potential implications for family relationships. It synthesizes literature on digital engagement behaviors, psychological and social outcomes of excessive platform usage, and proposes a theoretical lens to understand how digital well-being aligns with familial cohesion. Drawing on interdisciplinary research, this review emphasizes how digital routines, emotional reliance on online interactions, and constant connectivity can affect the emotional climate of households. The review offers a framework for future empirical studies and highlights the importance of awareness among individuals, educators, and policymakers to ensure healthier digital-social integration. http://ijaems.com/detail/the-quiet-consequences-of-scrolling-conceptualizing-social-media-wellness/ Rahul Dhiman http://ijaems.com/upload_images/issue_files/19IJAEMS-104202510-TheQuiet.pdf Agriculture is a crucial sector that faces challenges, such as water scarcity, inefficient irrigation techniques, and increasing global food demand. The integration of the Internet of Things (IoT) into smart irrigation systems enhances water management, conserves resources, and improves crop yield. This study presents an IoT-based smart irrigation system that utilizes real-time environmental data to optimize irrigation schedules. This system employs soil moisture sensors, weather forecasting, and cloud computing to facilitate precise irrigation. This study demonstrates that the proposed system enhances efficiency while reducing water consumption. These results highlight the significance of automation in modern agriculture and its impact on sustainability and food security. http://ijaems.com/detail/iot-based-smart-irrigation-system/ Deepak Saini, Aman Maru, Devesh Nagar, Navin Suthar, Kalpit Mathur, Kartikey Nehra http://ijaems.com/upload_images/issue_files/20IJAEMS-10520251-IOT.pdf Natural Language Processing (NLP), a field enabling computers to comprehend and interact with human language, faces significant challenges with low-resource languages—those with limited digital text availability—and indigenous languages deeply rooted in native cultural traditions. This review examines data augmentation techniques, which generate additional training data from existing limited resources, to address these challenges. The goal is to provide a comprehensive overview of how such methods can promote greater linguistic inclusion in artificial intelligence, particularly for languages from regions like India, Africa, and Latin America. The significance arises from the global diversity of over 7,000 languages, where only a small fraction receives substantial AI focus, marginalizing many others. Low-resource languages suffer from minimal datasets, resulting in suboptimal performance on tasks such as machine translation. Data augmentation mitigates this by producing synthetic yet effective data, such as through sentence paraphrasing, thereby improving model accuracy without requiring extensive new data collection. This review discusses foundational concepts of augmentation in NLP, various methodological categories, global case studies, emphasis on Indian languages including Santali and Bodo, integration with transfer learning using models like mBERT and XLM-R, ethical considerations, and prospective directions. Key findings indicate improvements of 10-20% in accuracy or BLEU scores for languages such as Guarani and Manipuri. Applications span education, healthcare, and cultural preservation, advocating for equitable AI development. Sourced from more than 35 publications spanning 2015-2024, the review incorporates perspectives from India, Africa, and other regions, drawing from repositories like the ACL Anthology and IEEE. It underscores the need for ethical practices to minimize bias and encourages collaborative efforts. Ultimately, data augmentation fosters a more enduring and inclusive NLP ecosystem, empowering indigenous voices in the digital realm. http://ijaems.com/detail/data-augmentation-strategies-for-natural-language-processing-in-low-resource-and-indigenous-languages/ Haradhan Mardi http://ijaems.com/upload_images/issue_files/21IJAEMS-101202513-DataAugmentation.pdf