Middle East Journal of Applied Science & Technology

Volume 9 Issue 1 January-March 2026

Current Issue


Research Article

The Strategic Role of Guru Penggerak in Enhancing Learning Creativity within the Merdeka Curriculum in Primary Education

Dameria Sinaga & Melda Rumia Rosmery Simorangkir

Page No. 01-10

 Abstract: Studies on the role of Guru Penggerak in optimizing the implementation of the Merdeka Curriculum in primary education are essential to obtain empirical insights into the program’s contribution to improving learning quality. This study aims to analyze the strategic role of Guru Penggerak in supporting the implementation of the Merdeka Curriculum, which emphasizes student-centered learning, curriculum flexibility, and the strengthening of character education and 21st-century competencies. This research employed a qualitative method with a descriptive phenomenological approach grounded in the social definition paradigm. The study was conducted at SDN Cakung Timur 09 Pagi, Jakarta, Indonesia. Data were collected through observation, in-depth interviews, and documentation. The findings indicate that Guru Penggerak possess a comprehensive understanding of the concepts and objectives of the Merdeka Curriculum, as reflected in the implementation of project-based learning, differentiated instruction, and the integration of technology in the teaching and learning process. Furthermore, Guru Penggerak actively contribute to creating a conducive learning environment, fostering students’ creativity, and strengthening collaboration and a positive learning culture within the school. These findings affirm that Guru Penggerak play a strategic role as agents of change in optimizing the implementation of the Merdeka Curriculum in primary education.

DOI: Under Assignment


Research Article

Digitalizing Procurement Processes: An Online Automated Auction System: Design, Implementation and Evaluation

Mubarak Olayiwola Ahmed, Aniji Ifesinachi Veronica & Chizoba Chioma Esther

Page No. 11-22

 Abstract: This research titled addresses the inefficiencies and lack of transparency associated with the manual auctioning process of surplus government assets. The system was developed as a web-based platform using HTML, CSS, PHP, and MySQL, aiming to streamline the auctioning process, enhance public participation, and promote accountability. Key features of the system include user registration, real-time bidding, secure payment processing, and an administrative dashboard for auction management. Through an extensive review of online auction systems and their application in government agencies, the project emphasizes the importance of transparency, accountability, and security in auction platforms. System testing demonstrated the platform's effectiveness in meeting its objectives, providing a user-friendly and efficient alternative to traditional methods. This solution significantly improves the auctioning process, fostering public trust and ensuring better asset disposal management. The project also provides recommendations for continuous monitoring, user training, and the integration of advanced features to enhance the system's functionality and adaptability in the future.

DOI: Under Assignment


Research Article

Serverless Absence Management: A Google-Native Playbook for Rapid, Auditable University Leave Workflows

Nayyar Ahmed Khan, Asif Rashid Khan, Sivaram Rajeyyagari, Mobin Akhtar, Ahmed Masih Uddin Siddiqi & Mohammad Ahmad

Page No. 23-36

 Abstract: This article presents the design, implementation, and evaluation of a Student Absence Management System (SAMS) tailored for university environments. The system integrates web frontends, Google Apps Script backends, Google Sheets storage, and Google Drive for evidence handling, delivering end-to-end workflows for leave application, multi-level approvals, notification, and record keeping. Our key novelty lies in architecting a serverless, low-ops absence workflow atop managed Google services, demonstrating role-based access control (RBAC) patterns with deterministic state transitions, and establishing resilience through separation of critical operations from non-critical side effects. We discuss the motivating context, survey related work, describe the architecture and algorithms, report observed outcomes, and outline future directions. Pilot deployment results show a 75% reduction in processing time (from 2--3 days to <8 hours), a 95% reduction in evidence availability issues, and maintained auditability through timestamped, deterministic approval logs with <2\% user-facing failures.

DOI: Under Assignment


Research Article

A Cloud-Based Multi-Tier Approval System for Academic Course Registration: Design, Implementation, and Evaluations

Nayyar Ahmed Khan, Asif Rashid Khan, Sivaram Rajeyyagari, Mobin Akhtar, Ahmed Masih Uddin Siddiqi & Mohammad Ahmad

Page No. 37-54

 Abstract: Academic course registration processes in higher education institutions often involve complex approval workflows, manual paperwork, and communication delays that can significantly impact student satisfaction and administrative efficiency. This paper presents the design, implementation, and evaluation of a cloud-based Course Add/Drop Management System (CADMS) developed for the universities in higher education. The proposed system implements a three-tier approval workflow involving Academic Advisors, Heads of Department, and Registrars, automating the entire process from student request submission to final approval and PDF certificate generation. Built using modern web technologies and Google Apps Script as the backend infrastructure, the system provides real-time status tracking, automated email notifications, and comprehensive dashboard interfaces for all stakeholders. The system was evaluated over a semester with 250+ student requests, demonstrating significant improvements in processing time (reduced from 7-10 days to 24-48 hours), paper consumption (100% elimination), and user satisfaction (88% satisfaction rate). This research contributes to the body of knowledge in educational technology by presenting a cost-effective, scalable solution that can be adapted by institutions with limited IT infrastructure. The paper details the system architecture, implementation methodology, evaluation metrics, and lessons learned during deployment.

DOI: Under Assignment


Research Article

A Computational Approach to Solving Higher-Order Multi Indexed Fractional Differential Equations in Caputo Sense

Ojobo Solomon Ocheka, Adewale James, Apollos Waraba Dibalya & Folake Joseph

Page No. 55-66

 Abstract: This paper introduces a novel computational approach for solving higher-order multi-indexed fractional differential equations (FDEs) in the Caputo sense. By leveraging a power series polynomial collocation method, the proposed technique reformulates the FDEs into an equivalent integral form, enabling accurate and stable numerical solutions. The method addresses key challenges in fractional calculus, including the handling of multi-indexed derivatives and ensuring computational efficiency. Numerical experiments demonstrate the approach’s superior accuracy, with error analyses revealing significant improvements over existing methods. The results underscore the method’s applicability to real-world problems in physics, engineering, and biology, where fractional derivatives model memory-dependent phenomena. This work advances the toolkit for computationally solving complex FDEs while maintaining robustness and convergence.

DOI: Under Assignment


Research Article

Seasonal Dynamics of Organochlorine Pesticide Residues in Fruits and Vegetables and Associated Health Risks in North-Western Nigeria

Momoh Shuaibu

Page No. 67-77

 Abstract: The persistence of banned organochlorine pesticides (OCPs) in agricultural systems remains a major concern for food safety, environmental sustainability, and public health in developing countries. This study assessed the seasonal variation and health risks associated with organochlorine pesticide residues in selected fruits and vegetables sold in Kaura Namoda, Zamfara State, North-western Nigeria. A total of 120 fruit and vegetable samples (watermelon, pineapple, cucumber, cabbage, and lettuce) were randomly collected from local markets across four quarters between December 2024 and October 2025, representing both dry and wet seasons. Pesticide residues were extracted using the QuEChERS method and quantified using gas chromatography–mass spectrometry (GC–MS). The results revealed that multiple OCPs, including lindane isomers, DDT and its metabolites, heptachlor, aldrin, and dieldrin, were detected in most samples. Residue concentrations were significantly higher during the dry season compared to the wet season (p < 0.05), indicating a strong seasonal influence on pesticide persistence and accumulation. A health risk assessment based on estimated daily intake, target hazard quotient (THQ), and hazard index (HI) revealed that children were more vulnerable, with THQ values for DDT and HCH exceeding unity during the wet season. The hazard index values for both children and adults were greater than one in both seasons, indicating potential non-carcinogenic health risks associated with long-term dietary exposure. Although most detected residues were below established maximum residue limits, the combined exposure poses environmental and public health concerns. The findings highlight the continued use or environmental persistence of banned pesticides and emphasise the need for strengthened regulatory enforcement, farmer education, and sustainable pest management practices to reduce contamination of food crops and protect ecosystem and human health.

DOI: Under Assignment


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