Multidisciplinary Journal of Akseprin Indonesia
The Multidisciplinary Journal of Akseprin Indonesia (MJAI) is a scientific journal dedicated to publishing research results, case studies, work reports and literature reviews that are interdisciplinary and multidisciplinary in nature from various major disciplines. The journal aims to bridge the gap between sciences, promote collaboration, and present comprehensive solutions to complex challenges. The scope of MJAI includes studies from the main groups of sciences which, including: Engineering ,Physical and Chemical Science : Engineering and Technology, Material Science, Statistics, Chemical Engineering, Chemistry, Computer Science, Information Technology, Earth and Planetary Science, Energy, Mathematics, Physics and Astronomy, Mathematics Life Sciences : Agricultural, Biological Sciences, Biotechnology, Arachnology, Biodiversity and Conservation, Entomology, Limnology, Ichthyology, Malacology, Immunology and Microbiology, Neuroscience, Biochemistry, Genetics, Molecular Biology, Environmental Science, Ecology, Marine Biology. Health & Medical Science : Medicine and Dentistry, Nursing, Health Professions, Pharmacology, Toxicology, Pharmaceutical Science, Veterinary Science, Veterinary Medicine, Health Care, Medical Education. Social Science and Humanities: Arts and Humanities, Business Management, Hotel Management, Management, Economics, Law, Finance, Psychology, Political Science Tourism, Accounting, Decision Science, Education, , Physical Education, English Literature, Social Work and History., Sociology, Corporate Governance.
Articles
33 Documents
<![CDATA[Role of Cholesterol in Formation of Amyloid Plaques in Alzheimer's Disease ]]>
<![CDATA[Huma Jadur Shruthi]]>
<![CDATA[ Multidisciplinary Journal of Akseprin Indonesia Vol. 3 No. 3 (2025): September-December ]]>
Publisher : <![CDATA[AKADEMI SERTIFIKASI PROFESI INTERNASIONAL ]]>
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<![CDATA[Amyloid plaques are one of the key reasons in forforthe progressforion of Alzheimer's Disease the pthe progression(AD), being one of the leading causes of dementia. Recent studies have shown evidence (AD), of the levels of cholesterol playing an important role in the formation of amyloid plaque. This work aims to ofanalyofze the effect of cholesterol levels ananalyzealyzeon increasing amyloid plaqueon accumulation in the brain, how it can influence breakdown of plaqueonthe breakdownamyloid precursor protein (APP),the breakdownplaque and how specific foods and diets(APP),the breakdown can affect thediets(APP), formation of amyloid plaques. The research findings indicate that high levels ofthedietsncelevels of cholesterinfluencelevels ofthey amyloidinfluence enzyme activity and clearance mechanisms in the brain. Low-Density Lipoprotein (LDL), commonly known as 'bad' cholesterol, transports cholesterol to various tissues and has been found to influence the risk of Alzheimer’s disease across different age groups. Managing cholesterol levels before the age of sixty-five may help reduce the likelihood of developing Alzheimer’s.]]>
<![CDATA[Understanding the Impact of Air Quality on the Incidence of Polycyclic Aromatic Hydrocarbons (PAHs) ]]>
<![CDATA[Chandrashekhar Ravishankar]]>
<![CDATA[ Multidisciplinary Journal of Akseprin Indonesia Vol. 3 No. 3 (2025): September-December ]]>
Publisher : <![CDATA[AKADEMI SERTIFIKASI PROFESI INTERNASIONAL ]]>
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<![CDATA[Polycyclic aromatic hydrocarbons (PAHs) are environmental contaminants predominantly linked to chronic respiratory diseases. Heightened epidemiological evidence demands a focused initiative to enhance knowledge about the impact of air quality on the incidence of certain PAHs in airborne particulates. Polycyclic aromatic hydrocarbons (PAHs) are linked to respiratory issues such as asthma, aggravation , chronic bronchitis, and emphysema. The study provides an overview of contemporary PAH exposure and its hazardous effects on the respiratory system. A literature search across four scientific databases identified 120 pertinent research publications that examine urine concentrations of diverse persistent PAHs and associated biomarkers. The study emphasized the hazards associated with PM2.5-PAH conjugates, which can induce mutagenesis, carcinogenesis, and teratogenesis; disrupt signaling pathways; and lead to oxidative stress, acute and/or chronic respiratory ailments, cognitive deficits, cardiovascular issues, and mortality. The research highlights the considerable toxicity of PAHs and their metabolites to the respiratory system, activating interrelated AhR/non-AhR signaling pathways that result in oxidative stress, immune system impairment, asthma/COPD, and cancer. The study mostly demonstrates favorable connections between PAHs and respiratory toxicity.]]>
<![CDATA[Endonasal Rhinoplasty Alters Nasal Anatomy Without Resulting in Visible Scarring ]]>
<![CDATA[Rodríguez Navarro]]>
<![CDATA[ Multidisciplinary Journal of Akseprin Indonesia Vol. 3 No. 3 (2025): September-December ]]>
Publisher : <![CDATA[AKADEMI SERTIFIKASI PROFESI INTERNASIONAL ]]>
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<![CDATA[Endonasal rhinoplasty, or closed rhinoplasty, is a surgical technique employed to alter the nasal architecture for cosmetic or functional reasons while avoiding visible scarring. The primary benefit is the attainment of natural results with a more rapid recovery relative to alternative approaches. This surgical technique necessitates exceptional precision and a comprehensive knowledge of nose anatomy, integrating technical expertise with an artistic viewpoint. It has demonstrated efficacy throughout time, offering numerous advantages, including decreased postoperative edema and a shorter recovery duration. This article elucidates the endonasal rhinoplasty procedure, emphasizing its significance and efficacy without juxtaposing it with open rhinoplasty, as both possess distinct indications. It underscores the necessity for surgeons to proficiently learn both techniques to offer solutions customized to the specific requirements of patients. A clinical case is described with a 21-year-old female patient who desired enhancement of her nasal profile due to a dorsal hump and a ptotic tip. A closed rhinoplasty was conducted under general anesthesia in a suitable surgical environment, resulting in a pleasing aesthetic outcome and a smooth postoperative recovery. Presently, endonasal rhinoplasty is a pivotal method in the worldwide movement of preservation rhinoplasty, emphasizing the maintenance of nasal structures to guarantee enduring and aesthetically pleasing outcomes]]>
<![CDATA[Using Muscle Strength And Tissue Adaptation To Treat Patellofemoral Pain Syndrome Without Subjecting The Body To Strenuous Exercise ]]>
<![CDATA[Priyanka Lizy Jeba]]>
<![CDATA[ Multidisciplinary Journal of Akseprin Indonesia Vol. 3 No. 3 (2025): September-December ]]>
Publisher : <![CDATA[AKADEMI SERTIFIKASI PROFESI INTERNASIONAL ]]>
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<![CDATA[Patellofemoral pain syndrome (PFPS) is the collective term for pain that arises in the patellofemoral joint itself or in the surrounding soft tissues. Blood flow restriction (BFR) training has emerged as a popular and promising technique to increase muscle strength and promote tissue adaptability without subjecting the body to demanding activity. Pilates generates muscular stress through a series of basic, repetitive activities. The study's main objective is to evaluate how well Pilates-based exercises and blood flow restriction training work to improve function and lessen discomfort in people with patellofemoral pain syndrome. As observation subjects, thirty patients with a diagnosis of patellofemoral pain were chosen at random and split into two groups. The course of treatment lasted three months, with three sessions per week. The Numerical Pain Rating Scale (NRS) and the Anterior Knee Pain Scale were compared and analyzed in this study. The NRS score of the knee and the Anterior Knee Pain Scale were compared and examined in this study before and after treatment. Following treatment, Group A's functional status and health-related quality of life significantly improved in comparison to Group B, and Group A's pain intensity significantly decreased. The study's findings show that Pilates-based core strengthening exercises can help teens with PFPS in a variety of ways, including pain reduction, improved functional status, and improved quality of life.]]>
<![CDATA[Effects of Implementing Scholastic Literacy Pro, a Program Aimed at Facilitating Independent Reading and Utilizing Data to Tailor Instruction ]]>
<![CDATA[Arpilled Navarro]]>
<![CDATA[ Multidisciplinary Journal of Akseprin Indonesia Vol. 3 No. 3 (2025): September-December ]]>
Publisher : <![CDATA[AKADEMI SERTIFIKASI PROFESI INTERNASIONAL ]]>
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<![CDATA[This study evaluated the reading competence levels of Grade 1 pupils at St. Paul University Surigao utilizing Scholastic Literacy Pro. The research utilized a one-group pretest-posttest methodology to evaluate the effects of Scholastic Literacy Pro, a program aimed at facilitating independent reading and equipping educators with data for personalized instruction. The researchers administered pre- and post-assessments to evaluate the students' advancement in reading competency, classifying their scores into advanced, proficient, basic, and below basic categories. The results indicated that competence levels were primarily below basic, with only a minor minority achieving basic, proficient, or advanced levels. No substantial differences were identified when categorized by section, gender, prior educational institution, or type of school. A notable disparity was observed between pre- and post-test results, signifying that the instructional reading intervention exerted a beneficial effect. The study advocates for targeted instructional strategies to enhance reading proficiency, continuous professional development for teachers on effective methodologies and progress monitoring, and the augmentation of teachers' knowledge and skills to accommodate diverse learner requirements. By adopting these recommendations, the school can further enhance reading competency levels among Grade 1 children.]]>
<![CDATA[Automotive Technology Program of State Universities and Colleges Regarding Curriculum and Instruction, Adherence To Quality Assurance Standards, and Graduates' Employability ]]>
<![CDATA[Perry Ferdinan Carpucio]]>
<![CDATA[ Multidisciplinary Journal of Akseprin Indonesia Vol. 2 No. 3 (2024): September -December ]]>
Publisher : <![CDATA[AKADEMI SERTIFIKASI PROFESI INTERNASIONAL ]]>
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<![CDATA[This study examined the significance of the automotive technology program of state universities and colleges in the Bicol Region as a basis for curriculum improvement. The assessment analyzed the SUC Automotive Technology Program's faculty qualifications and laboratory facilities, alongside the program's curriculum and instructional status, adherence to quality assurance protocols, and the employability of its graduates. This research study utilized a descriptive survey methodology. The questionnaires serve as the primary instruments for data collection. Frequency, percentage, and general mean are the statistical methods employed in analyzing the acquired data. The study comprised four groups of respondents: BSIT majors in Automotive Technology and BSAT students participating in industry immersion/supervised industry training during AY 2022-2023; core faculty members in automotive technology from five SUCs; graduates from AY 2020-2021 and 2021-2022; and automotive industry partners of the aforementioned SUCs, represented by their service advisors and technicians. It was disclosed that the majority of the academics lack the requisite industry experience mandated by CMO 76, s. 2017. Similarly, the qualifications of professors as trainers in automotive disciplines and the availability of automotive equipment do not entirely satisfy the regulatory requirements. The SUCs failed to adhere to CHED and TESDA standards regarding laboratories and physical facilities; however, the SUCs in Region V met the minimum requirements set by CHED]]>
<![CDATA[An Examination of Artificial Intelligence in Software Development: Code Generation, Testing, Maintenance, and Security ]]>
<![CDATA[Rajeshkumar Sudhi]]>
<![CDATA[ Multidisciplinary Journal of Akseprin Indonesia Vol. 2 No. 3 (2024): September -December ]]>
Publisher : <![CDATA[AKADEMI SERTIFIKASI PROFESI INTERNASIONAL ]]>
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<![CDATA[Artificial Intelligence (AI) is transforming software development by automating critical processes such as code generation, testing, maintenance, and security. AI-driven solutions like OpenAI Codex, GitHub Copilot, and DeepMind AlphaCode are revolutionizing programming by enhancing efficiency, reducing errors, and accelerating development cycles. Similarly, AI-powered testing frameworks improve bug detection, security evaluation, and software performance enhancement. This study analyzes recent advancements in AI-driven software development, assessing its benefits, constraints, and ethical considerations. Additionally, it examines the function of AI in cybersecurity, low-code/no-code development, and workforce transformation. The lecture concludes by discussing potential research directions and the balance between automation and human oversight in AI-augmented software engineering]]>
<![CDATA[The Growing Ubiquity of Artificial Intelligence (AI) and Machine Learning (ML) Models Across Diverse Industries ]]>
<![CDATA[Chiranjeevi Bura]]>
<![CDATA[ Multidisciplinary Journal of Akseprin Indonesia Vol. 2 No. 3 (2024): September -December ]]>
Publisher : <![CDATA[AKADEMI SERTIFIKASI PROFESI INTERNASIONAL ]]>
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<![CDATA[The growing ubiquity of Artificial Intelligence (AI) and Machine Learning (ML) models in diverse sectors has underscored the essential requirement for effective and scalable deployment methodologies. Conventional deployment methods frequently encounter difficulties in adjusting to variable demands and sustaining cost efficiency. Serverless computing has arisen as a viable way to tackle these difficulties. This article examines the implementation of AI models in serverless architectures on Amazon Web Services (AWS), with particular emphasis on AWS Lambda and Knative. The research examines the constraints of traditional deployment methods and suggests novel solutions utilizing the advantages of serverless technology. Additionally, it offers a thorough assessment of the performance attributes of various serverless deployment methodologies, addresses essential security and privacy issues, includes pertinent real-world case studies, and delineates prospective avenues for future research]]>
<![CDATA[Thematic Progression in Systemic Functional Linguistics (SFL) as a Pedagogical Instrument to Augment Case-Solving and Comprehensive Case Analysis Competencies ]]>
<![CDATA[Thi Nguyen Nhung]]>
<![CDATA[ Multidisciplinary Journal of Akseprin Indonesia Vol. 2 No. 3 (2024): September -December ]]>
Publisher : <![CDATA[AKADEMI SERTIFIKASI PROFESI INTERNASIONAL ]]>
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<![CDATA[Systemic Functional Linguistics (SFL), developed by Halliday, conceptualizes language as a social semiotic system that fulfills communicative purposes. In Systemic Functional Linguistics (SFL), Thematic Progression (TP) pertains to the development of themes across sentences to establish coherence and cohesiveness in conversation. Structured argumentation and clarity are crucial in legal education, especially in criminal law. Students at the People’s Police College II (PPC II) studying criminal law must refine their writing skills for assignments, reports, and legal analyses. This research emphasizes the significance of thematic progression in assisting students to compose more organized and coherent legal writings. This research examines the utilization of thematic progression in systemic functional linguistics as an educational instrument to improve cadets' case-solving and comprehensive case analysis abilities in the PPC II criminal law exercises. Thematic progression, which entails the methodical advancement of topics within texts, is essential for creating cohesive and logical legal arguments. By examining several patterns of thematic progression, including constant theme, linear theme, and split theme, students can enhance their capacity to formulate coherent legal speech. This method enhances their understanding of legal papers and facilitates the creation of clear and succinct legal reports. The study offers pragmatic instructions for incorporating thematic progression into criminal law exercises, enhancing communication abilities among law enforcement cadets]]>
<![CDATA[Artificial Intelligence (AI) is being Swiftly Integrated into Various Application Domains ]]>
<![CDATA[Ihor Hunko]]>
<![CDATA[ Multidisciplinary Journal of Akseprin Indonesia Vol. 2 No. 2 (2024): May-August ]]>
Publisher : <![CDATA[AKADEMI SERTIFIKASI PROFESI INTERNASIONAL ]]>
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<![CDATA[Artificial intelligence (AI) is quickly being used in areas like self-driving cars, healthcare, and cybersecurity, so there is a growing need for dependable and strong AI systems in these changing environments where conditions can be unpredictable. Traditional software testing methods that depend on set test cases and fixed situations often fail Traditional software testing methods that use fixed test cases and scenarios often fail to effectively handle the complexities of modern AI systems, which can result in hidden problems and security risks. This study will evaluate adaptive testing methodologies employing reinforcement learning (RL), fuzz testing, and other hybrid techniques for their application in software reliability assurance across various environments, including stable, low-resource, high-load, and adversarial contexts. The study is based on a series of experiments involving conversational chatbots, fraud detection systems, and autonomous navigation modules, illustrating that RL-adaptive testing methods enhance defect detection by 35-47% in dynamic environments relative to static testing methods and attain 40-50% increased stability under stress (pertaining to the system itself). Reinforcement learning (RL)-based approaches reduced failure rates by 75% compared to traditional testing methods. Fuzz testing was useful for finding edge cases, but it was less stable in adversarial situations when the same edge cases were used again. Moreover, the article delineates significant issues in AI Software Testing, such as environmental drifts and non-deterministic outputs, which are perceived to be more effectively addressed by reinforcement learning-based methodologies. Even though there is a balance between how easy it is to understand and the complexity of computing, the evidence shows that adaptive testing can greatly improve safety-critical systems and highlights the benefits of combining reinforcement learning's ability to optimize dynamically with fuzz testing's ability to find unusual problems. This document delineates application areas, providing explicit advice for developers and engineers to enhance the safety and reliability of AI in practical systems.]]>
