IJSRP, Volume 15, Issue 4, April 2025 Edition [ISSN 2250-3153]
All listed papers are published after full consent of respective author or co-author(s).
For any discussion on research subject or research matter, the reader should directly contact to undersigned authors.
Important:
April 2025 publication has started and publication will continue till 28th April 2025
Indexing and Correction:
Indexing will start after 28th April and minor corrections are accepted till 28th April 2025.
If minor correction required, send email to editor@ijsrp.org and ask for formatted (.doc/docx) paper.
Benard Kirui, George Otieno, John Oyore
Abstract:
This study examined healthcare workers perceptions of centralized electronic medical records (EMR) for HIV care and treatment in Uasin Gishu County, Kenya. Human Immunodeficiency Virus (HIV) remains a significant public health challenge in Africa and Kenya whereby existing electronic medical records (EMRs) for HIV care majorly operate as standalone systems, leading to duplication, lack of interoperability, and inconsistent documentation or unrecorded diagnoses, limited adherence tracking, and unreliable patient data management. Limited research has explored user perceptions in implementing centralized EMRs in HIV care.
Hanimie A. Ednilan, Meshebel L. Largado, Chelsea T. Rollorata, Marlou C. Tagarao
Abstract:
The study sought to determine pre-service teachers appreciation for the teacher education program’s leadership roles and readiness to become teacher leaders. The study used a quantitative survey design, specifically a descriptive-correlational approach, to investigate pre-service teachers perceptions of their readiness for leadership roles in the teaching profession.
Ella Diane Theresa Montilla, Charish Lyra Olan, Maria Diana Rose Oring, Marlou Tagarao
Abstract:
This study aimed to examine the teachers level of preparedness for implementing the MATATAG curriculum in selected public elementary schools in Butuan City. The study used a descriptive design where random sampling was utilized to select the forty-two grades one and four study participants. It utilized a researcher-made questionnaire, which was validated by the content experts of the College of Education.
Edinah Moraa Ogega and Dr. Priscilla Ndegwa
Abstract:
The Kenyan banking sector plays an important role and contributes to the socio-economic growth and development of the country. However, the sector has had a challenge of retaining its employees which affects its performance and sustainability. The tier I and II commercial banks have a larger customer base compared to other financial institutions. The increased workload put pressure on employees, causing low retention rates, as a solution this study focused on work environment and conditions.
"Amit Lokare, Padmajeet Mhaske, Shripad Bankar "
Abstract:
In the year 2023 the field of generative artificial intelligence AI felt a specific note of curiosity mingled with concern while emerging new product by OpenAI called ChatGPT. This critical moment generated a lot of discourses that chiefly revolves mostly around the utilization of data that defines the developmental process of Generative AI. While studying and exploring this novel area, a clear trend towards discovering its possibilities became evident between researchers and organizations.
Dr Thabo Msimango
Abstract:
The article states that 17 years after the global financial crisis, the global financial regulatory structure has changed, but services still need improvement. New standards from the global communitys comprehensive agenda have strengthened the financial system, making it less leveraged, more liquid, and better monitored, while ensuring robust customer support and thoughtful feedback, regardless of the issues perceived insignificance.
Aditya Singh, Sakshi Srivastava
Abstract:
Credit card fraud is the most serious form of risk to financial security and it has a far-reaching effect on consumers and users in general; this makes it necessary that modern methods for machine learning like neural networks should be employed in order to improve their capacity and accuracy for detecting frauds. Various popular neural network architectures for fraud detection, including Feedforward Neural Networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory Networks (LSTM), Autoencoders, and Generative Adversarial Networks (GAN) are investigated in this study.
Kania Dareen Ulaya, Masrul Lubis, and Taufik Sungkar
Abstract:
This study is driven by the increasing prevalence of colorectal cancer and the need for rapid, non-invasive, and accurate diagnostic methods. Carbohydrate antigen 242 (CA242) and carcinoembryonic antigen (CEA) is a tumor marker with the potential to serve as a diagnostic predictor for colorectal cancer. An analytical observational study with a cross-sectional design was conducted. The study included 58 subjects, comprising 29 colorectal cancer patients and 29 control subjects. Both groups underwent CEA and CA242 testing using the ELISA method at RS Adam Malik.
Ayu Lestari Hasibuan, Ilhamd, Imelda Rey
Abstract:
Ascites is a pathological fluid accumulation within the peritoneal cavity. Ascites is the most common complication of cirrhosis and occurs in approximately 50% of patients with decompensated cirrhosis within 10 years. Diagnostic paracentesis with appropriate ascitic fluid analysis should be performed in all patients hospitalized with ascites before undergoing therapy to rule out causes of ascites other than cirrhosis. This study aims to analyze the differences in ascitic fluid analysis profiles in patients with cirrhotic and non-cirrhotic ascites at Adam Malik Hospital, using an analytical observational approach with a case control design. Study consisted of 142 patients and found significant differences in laboratory parameters and ascitic fluid analysis between cirrhotic and non-cirrhotic patients.
Amar Devikar
Abstract:
This paper introduces a novel and comprehensive framework for optimizing process improvements in high-volume manufacturing plants. As industries worldwide face escalating pressures for cost reduction, improved efficiency, and enhanced quality, Lean Manufacturing, Six Sigma, and Kaizen have emerged as critical tools for driving operational excellence. While individual methodologies are well-established, their integration into a unified framework that can scale for high-volume operations is largely unexplored. This research focuses on developing a flexible, adaptable, and scalable process improvement framework that integrates Lean principles, Six Sigma methodologies, and Kaizen strategies.
Amar Devikar
Abstract:
This paper investigates the integration of wearable technology and Internet of Things (IoT) sensors in logistics operations to optimize labor performance, improve worker safety, and monitor health outcomes. The use of wearables and IoT sensors in high-risk environments such as warehouses and distribution centers is discussed, focusing on their potential to enhance productivity, reduce workplace injuries, and provide real-time insights into worker behavior.
Mohamed Abu Eshibani Elkawash
Abstract:
The aim of this research is to identify the obstacles that impede and face the application of total quality management. A questionnaire will be prepared in two parts. The first is a set of elements that represent the constraints that limit the application of total quality management in higher education institutions in the Libyan higher education institutions while the second part provides the initial data and information about the research.
Hamed Taha Hamed Gohar
Abstract:
Infrastructural projects of largescale are essential for overall economic growth and progress of the different segments of the society but their timely delivery is frequently challenged by cost overruns, time delays, and stakeholder conflicts. Although current project management methodologies, such as PRINCE2, PMBOK, and Agile, offer helpful templates, they do not address the particular requirements of infrastructure projects (Flyvbjerg 2014; Project Management Institute 2017). This study thus fills a gap and offers adding value to the scholarship by elucidating and subsequently appraising the best practices necessary for the successful delivery of large-scale infrastructure projects employing in-depth case studies.
Hamed Taha Hamed Gohar
Abstract:
Value engineering (VE) is a systematic methodology aimed at optimizing project value by enhancing functionality while minimizing costs. In the context of infrastructure projects, VE is increasingly critical for achieving cost efficiency and sustainability.
Swapneela jacob, Tarun Amalnerkar, Joshua Lau Liheng
Abstract:
Background and Objective: Dysmenorrhea is a medical term used to describe the condition of painful menstrual periods experienced by many women without an identifiable cause during their reproductive years. Evidence that primary dysmenorrhea can be accompanied by mental health issue such as depression and anxiety has found to be increased in recent decades.
Nyabaro Obed Mainya
Abstract:
Acrylamide is a neurotoxic compound classified as a probable human carcinogen and genotoxicant [1&2] Historically, acrylamide as a contaminant was only thought to be an issue in water and its potential exposure to humans and was not of serious concern[1]. However, the recent discovery of acrylamide formation in certain fried and baked foods and its rather high levels (concentrations ranging up to 10 mg/kg) found in highly consumed food products, such as potato chips and crisps [3], brought acrylamide to the forefront of interest among scientists, regulators, the industry, and consumer groups.
Godhard Muiruri Kariuki, Mary Wamuyu Baaru, Joseph Kariuki Muriithi
Abstract:
It is indisputable today that climate variability has taken place all over the world with huge impacts on ecosystems. Precipitation and rainfall are among the most notable changes of climate variability, majorly as a result of natural phenomena or anthropogenic activities contributing to global climatic extremes such as heatwaves, snow, droughts and flooding.
Musau Makau, David Karienye and Julius M. Huho
Abstract:
Climate variability and change pose significant threats to agricultural productivity in semi-arid regions where rainfall is erratic and droughts are frequent. This study was carried out in the semi-arid Kibwezi West Sub-County and investigated the role of three orphan crops namely:
Sherlyn C. Cordova, Mariafe D. Reville
Abstract:
The purpose of this study was to determine the level of procrastination in the submission of course requirements in terms of timeliness or urgency and stress, the level of satisfaction in terms of the quality of work and efficiency of resources, and how it affects the academic performances of education students at Caraga State University. Moreover, the study also aimed to identify the relationship between the academic performance and students’ level of satisfaction and timeliness and stress levels in the submission of course requirements.
A. Gamage, D.Thalgaswatta
Abstract:
This research investigates whether training impacts executive employee retention in a selected public bank in the Colombo District, Sri Lanka. However, prior research in this area is limited, and this study aims to fill this gap. The research problem of the study is “Does Training impact executive employee retention in a selected public bank in Colombo district, Sri Lanka?”
Kamau Riccarda E. Wanjiru, Dennis Butto, David Nderu
Abstract:
Kangaroo Mother Care (KMC) is an essential newborn package for reduction of neonatal mortality rates among preterm and low birth weight (LBW) babies. However, KMC uptake remains low in Kenya. This paper was part of a major study assessing the determinants of KMC utilization among post hospitalization mothers that carried out in Kerugoya County Referral Hospital situated in Kirinyaga County. The study used analytical cross sectional design utilizing both quantitative and qualitative methods. Data was gathered using structured questionnaires, key informant interviews and focus group discussions.
Eyob, D. G, & James, M, K
Abstract:
Servant leadership development is a critical priority in today’s world at global, regional, and local levels. The phenomenon of globalization forces global leaders to change their long years perspectives and experiences. The empirical research viewed information technology as a driving force for the expansion of globalization. This situation of the current world impacts servant leadership development.
Imbwaga Musimbi Chantell, Barry R. Ayumba, Henry Mwiki Muroki, Prisca Mosol
Abstract:
Specialization in Physical Therapy is part of physical therapy’s continued professional development, with the aim of improving quality of healthcare and knowledge of the respective fields. The skills of an expert clinician are based on the application of knowledge, thinking and reasoning that occurs with experience.
Do Thi Minh Tam , Pham Thi Hang Nga
Abstract:
This study investigates the role of parallel structures in enhancing the cohesion and coherence of writing among 143 third-year English as a Foreign Language (EFL) students at the Banking Academy of Vietnam. The study also examines how these students perceive their ability to use parallel structures and how well their self-perceptions align with actual improvements in their writing performance. The research employed a primarily quantitative approach, utilizing structured writing assessments and self-perception surveys.
Tarik Jamum
Abstract:
In financial markets, trends refer to long-term movements in a time series and trend estimates are seasonally adjusted through a process based on the observation of average values. Merger and acquisition trends provide an idea of market movements, and merger and acquisition trends are considered to affect the product market, capital market and labor market policies of an economy. Global markets are also heavily influenced by merger and acquisition trends
Roziella Darmansah, Dr Aidah Binti Abdul Karim
Abstract:
This study focuses on the main challenges in enhancing programming skills among Form 4 students who take Computer Science as a subject, which is a crucial topic in the subject. The main objective of this study is to assess the effectiveness of interactive learning in implementing a module that uses web-based learning, specifically W3School, to improve understanding and mastery of programming concepts based on the Standard Curriculum and Assessment Document (DSKP) for the Form 4 Computer Science subject.
Radia Mohammed Abdula
Abstract:
Artificial intelligence in business is the use of AI tools such as machine learning, natural language processing, and computer vision to optimize business functions, increase employee productivity, and increase business value. Organizations use artificial intelligence (AI) to enhance data analysis and decision-making, improve customer experience, generate content, optimize IT operations, sales, marketing, and cybersecurity practices, and more. As AI technologies improve and evolve, new business applications emerge. Artificial intelligence is used as a tool to support human workforces in optimizing workflows and more efficient business operations.
AKINWUMI Mojeed Olaoluwa, YUSUF Hamisu, and ONOJA Clement Sunday
Abstract:
Academic confidence is a student belief in their ability to succeed academically, impacting their resilience, motivation, and career prospects in school and beyond. This study investigated the enhancement of Academic Confidence in Physics through Cognitive Apprenticeship Instructional (CAIS) among Secondary School Students in Benue State, Nigeria. The research also explored the effect of CAIS on male and female students academic confidence. Using a quasi-experimental design, 90 Senior Secondary School One (SSSI) students were selected through multi-stage sampling. The Physics Students Academic Confidence Questionnaire (PSACQ) was used for data collection, with a reliability coefficient of 0.81. Results The study found that the Cognitive Apprenticeship Instructional Package (CAIP) significantly improved students academic confidence in Physics, with a notable increase in post-test mean scores (x̄ = 38.7674) compared to pre-test scores (x̄ = 18.6977), as indicated by a significant t-test value (t = 30.010, p < 0.05). The results also showed that CAIP was effective for both male (x̄ = 38.64) and female (x̄ = 39.00) students, with no significant gender differences in its impact, as indicated by a non-significant t-test value (t = 0.171, p > 0.05). The study concluded that the CAIS significantly improves students academic confidence in Physics, benefiting both male and female students equally. The study recommended that CAIS is a valuable teaching approach that promotes gender equity and is recommended for Physics educators.
Rohani binti Zakaria, Mohd Jasmy Bin Abd Rahman
Abstract:
The aim of this study is to assess the effectiveness of using Artificial Intelligence (AI) technology in the teaching of Form 5 Information and Communication Technology (ICT) teachers in the Bachok district. This research employs a quantitative approach where data is collected through questionnaires distributed to ICT teachers in secondary schools within the district. The purpose of this questionnaire is to evaluate teachers perceptions of the effectiveness of AI in teaching, covering aspects such as student engagement, teaching efficiency, and academic performance. The collected data is analyzed using descriptive and inferential statistics to determine the level of AI effectiveness in ICT teaching. The findings suggest that the use of AI technology significantly improves student engagement and teaching efficiency. Teachers report that AI supports the delivery of more interactive and personalized learning tailored to student individual needs. Additionally, there is an improvement in the academic achievement of students taught using AI technology. However, the study also identifies some challenges, such as teacher lack of skills in handling AI and the high cost of implementation. Overall, the study confirms the significant potential of AI technology to enhance the quality of ICT teaching at the secondary school level. It is recommended that training programs and support be provided to teachers to maximize the use of AI in teaching.
Dianne D. Lumibao, Meldred O. Avila
Abstract:
This study investigates the relationship between subjective well-being and academic motivation among first-year students at Quezon City University during the post-COVID-19 pandemic. A total of 242 first-year students participated in the research. The results revealed a significant relationship between students subjective well-being and academic motivation. Students reported high levels of subjective well-being, with the highest average score in college gratitude. Similarly, academic motivation was also high, particularly in areas related to extrinsic motivation. The findings suggest that students motivation to engage in academic activities is closely linked to their positive perceptions of their college experience.
Jihan Safitri, Utiya Azizah
Abstract:
In applying discovery learning model by adjusting the characters and needs of students, the approach of differentiating students learning styles is appropriate. The expected learning outcomes of students today are that apply HOTS. This study aims to describe the implementation, students activities, improvement of students HOTS learning outcomes, and students responses to the application of the discovery learning model with a differentiated approach to acid-base material. The research methodology applied in this study was pre-experiment with One Group Pretest Postest Design. The results obtained are the application of the discovery learning model with a differentiation approach implemented because the results of learning implementation get mode 3 to 4 with good to very good categories in each aspect. On the results of student activity, students are said to be active during learning because they get a percentage of 97% to 100% based on the student activity observation sheet. Then focusing on the progress of student HOTS learning outcomes, the results of a significant value is a 0.000, which means is an influence in improving learning outcomes HOTS. Students responses are said to be good to very good because the results obtained reach 75% to 100%.
Nor Syamsiah Hasbullah Saghri, Rosseni Din, Nabilah Othman
Abstract:
This study explores the current state of knowledge regarding post-secondary students familiarity with and readiness to utilize Google Sites for English language learning. Employing a critical review methodology, the research investigates existing literature on this topic. Through a five-step process, the review (1) defined research objectives and questions, (2) examined relevant academic sources, (3) analyzed data using inclusion/exclusion criteria, (4) reported findings descriptively, and (5) discussed the implications of the identified results. This analysis revealed key themes that contribute to a conceptual framework for understanding student readiness. The review highlights the potential benefits of Google Sites for language learning, while also identifying knowledge gaps that warrant further exploration. This paves the way for future research investigating the effectiveness of Google Sites as a tool for enhancing English language learning among post-secondary students.
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