International Journal of Advances in Scientific Research and Engineering (IJASRE), ISSN:2454-8006, DOI: 10.31695/IJASRE
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Design and Development of a Malware Awareness Platform
The proliferation of malware poses significant challenges to cybersecurity worldwide, with Zambia experiencing a growing vulnerability due to increasing internet penetration and limited public awareness. This study focuses on the design and development of a Malware Awareness Platform (MIMS) tailored to Zambia's digital ecosystem. The platform integrates educational tools, real-time threat intelligence, and prevention strategies to empower users with knowledge and defenses against malware. Utilizing a user-centered design approach, the study conducted a baseline analysis of cybersecurity practices, revealing critical awareness gaps. The platform's development incorporated iterative testing to ensure usability, accessibility, and scalability. Results demonstrated the platform's potential to significantly enhance malware awareness, reduce user susceptibility, and contribute to national cybersecurity resilience. This research not only addresses Zambia's immediate needs but also offers insights for developing similar solutions
Re-Use Intention of the Logistics Service Quality Model in Multiple Vendor-Retailers Based-On Multidimension Criteria
This study contributes to the problem of logistics service quality in fast-moving consumer goods (FMCGs) products. This study aims to design a disaggregate model of logistics service quality on multi-retailer satisfaction using multiple linear regression models. This study also fills the gap in previous studies on logistics satisfaction models but is still limited to one retailer with multiple criteria. Multiple linear regression is the method used to solve this problem with the relationship between the dependent variable and the independent variable. The independent variables consist of service reliability, delivery speed, product quality, price, and response to complaints, while the study object uses three vendors and 50 retailers. Vendors are companies that supply products, while retailers are grocery stores and mini markets that determine demand. The findings reveal that the variables that influence the two logistics satisfaction models are (1) aggregate (price, product quality and service reliability) and, (2). disaggregate, (service reliability, product quality and price). Meanwhile, validation of logistics service satisfaction by interviewing vendors in the field directly. This model will help provide insight for decision makers of fast-moving consumer goods companies about the variables that affect logistics service satisfaction. The direction for future work focuses on the re-use intention model by integrating the vendor managementend Inventory by developing several dimensions that cause satisfaction
A Technical investigation of the Impacts of PV location and the Role of BESS on stability of the Grid: A case of a Cameroonian Network
As solar photovoltaic (PV) technologies continue to evolve; their integration into electric grids demands precise modelling to preserve system stability. Currently, the Cameroonian Southern Interconnected Network (SIN) lacks solar PV interconnection. The main objective of this research was to evaluate the impacts of PV integration on the stability of the Cameroonian southern interconnected network (SIN), and to determine the impact of energy storage in seamless PV integration. The specific objectives were: to develop detailed models of both the SIN using collected data and a 30 MW grid-tied PV system for impacts analysis; to assess the influence of PV with battery storage location on grid stability. Data was obtained from energy of Cameroon records and interviews of energy professionals. Modelling and simulations were conducted using distribution system simulator (DSS for the SIN) and PVSyst (for the PV system). The 30 MW PV location scenarios were simulated. Locating three PV plants at three different places in the distribution network was found to be the best scenario, and achieved highest reductions in power losses, voltage deviation index (VDI), and voltage violation index (VVI) of 2.261 MW, 0.23% and 0.56% respectively. This paper gives insights of roadmap to PV integration into the SIN and recommends more of this type of studies for the country in order to accelerate the integration process
Biocontrol of Parthenium Hysterophorus using Zygogramma Bicolorata: Implications for Maize Grain Yield
Biological control is a cost-effective and sustainable method many countries use to control invasive alien plant species. This study was conducted to establish the effectiveness of Z. bicolorata in controlling the noxious weed crop Parthenium hysterophorus and the associated benefits in enhancing maize yield performance under screen house conditions. The R-studio software was used to analyse data on plant height at flowering, number of leaves, leaf length, plant height at maturity, number of plants harvested, ear length, ear diameter, number of kernels per ear, number of kernels per row, plant biomass and grain yield. Maize yields were considerably higher (1800 g) in plots without parthenium than those with parthenium and no beetles (322 g). In plots with parthenium and the biocontrol agent maize yields were 1617 g, evidence that the agent effectively reduces the competitive ability of parthenium weed under these conditions. In addition, maize plants in plots with no parthenium weed and those with parthenium weed and Z. bicolorata were significantly taller, had longer leaves, had more kernel rows and kernels per ear and had higher plant biomass compared to those maize plants growing together with parthenium in the absence of the biocontrol agent. Furthermore, the study found that defoliation of parthenium weed by Z. bicolorata contributed to a significant decrease in plant height, root length, number of flowers per plant and plant biomass of this invasive plant. Zygogramma bicolorata can significantly suppress the growth of parthenium weed in maize cultivation plots and thus enhance the growth and yield of maize
Design and Development of a Web-Based Cyber security Awareness Platform
The rise of cyberattacks continues to enforce the importance of cybersecurity awareness. Although technological defenses have improved, people's weaknesses are still most at risk. This study demonstrates the development of a Web-Based Cybersecurity Awareness Platform that attempts to close the knowledge gap and provide crucial security skills to users.
The platform uses interactive modules, quizzes, and simulations for users on phishing, password-owing, secure browsing, and social engineering. The Learning Management System (LMS) monitors IT achievements and provides personalized recommendation s while testing understanding through adaptive checking of knowledge. Key Highlights include real-time alerting of threats, gamification (leaderboards, badges), feedback, and suggestion capture to increase participation in exercises. The system is intended to be responsive for all kinds of devices.
A Study of the Implementation of Village-Owned Enterprise Governance Policies
This study aims to analyze the Makmur Sejati Village-Owned Enterprise (BUMDesa) governance based on Dalisodo Village Regulation and identify its management's supporting and inhibiting factors. The research location was carried out at BUMDesa Makmur Sejati in Dalisodo Village, Wagir Sub-District, Malang Regency. Data analysis techniques in this study used qualitative data analysis techniques with a descriptive approach. This study found that BUMDesa Makmur Sejati continues to contribute to the income of Dalisodo Village Original Village Revenue (PAD) through training programs and business coaching for the community, although the results are not optimal. BUMDesa governance has implemented a structured planning, organizing, implementing, and monitoring system. However, there are several obstacles, such as the lack of promotion of Coban Glotak tourism, community non-compliance in loan payments, and theft in plantation fields. Supporting factors include the enthusiasm of the management, the availability of capital, and government and community support. Meanwhile, inhibiting factors include the lack of innovation in management, the small number of members, and low community awareness of supporting BUMDesa management. Increased innovation, close supervision, and community education are required to maximize the potential of BUMDesa. This research is expected to provide recommendations for increasing tourism promotion innovation, enforcing the savings and loan unit rules, increasing the security of plantation fields, and socialization strategies to increase community participation in BUMDesa Makmur Sejati
The Determinants of Digital Banking Adoption Using TAM 2 Approach in National Private Banks
The rapid development of information technology affects all aspects of life, including the banking sector. The increase in customers using digital banking services correlates with the growing number of banks providing these services. In today's competitive environment, all service providers must offer the best services to meet and satisfy consumer needs. Meeting consumer desires and needs is a skill that must be mastered to compete with other similar service providers, as society requires banking services that deliver the best service. Therefore, research is needed on the interrelated factors to enhance digital banking adoption. Based on research using the TAM 2 method and SEM-PLS model in SmartPLS software, it is known that two factors do not influence each other, namely I -> EOU and SN -> PU. Ten hypotheses that were accepted or had a significant impact include EOU -> IOU, EOU -> PU, I -> PU, IOU -> T, OU -> EOU, OU -> PU, PU -> IOU, RD -> EOU, RD -> PU, SN -> EOU, SN -> IOU, and T -> DBA. The trust factor strengthens the influence between the intention to use variable and digital banking adoption, where this trust factor provides a very high t-statistic result for both factors
Simulation-Based Analysis of Adaptive Blade Pitch Control for offshore Wind Turbines
The aerodynamic efficiency and structural stability of offshore wind turbines are strongly influenced by the blade pitch angle, which governs the balance between lift generation and load mitigation. This study presents a simulation-based analysis of adaptive blade pitch control for offshore wind turbines using Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA). A three-bladed horizontal-axis turbine was modeled in COMSOL Multiphysics, adopting scaled parameters from the NREL 5 MW reference design. The aerodynamic behavior was simulated across wind speeds of 5–20 m/s for pitch angles of 0°, 10°, and 20°, and the resulting pressure fields were coupled into FEA simulations to evaluate stress and deformation responses. Results revealed that the 10° adaptive pitch configuration provided the most favorable balance between aerodynamic efficiency and structural integrity, achieving a higher lift-to-drag ratio compared to the fixed-pitch (0°) setup while reducing overall blade stress and tip deformation by more than 25%. The findings confirm that moderate adaptive pitch adjustment can enhance energy capture at low wind speeds while mitigating fatigue loads at higher velocities, aligning with prior work by Muljadi and Butterfield (2000) and Lara et al. (2023). The CFD–FEA coupling approach proved effective in quantifying aero-structural interactions, providing a computationally efficient framework for evaluating turbine design strategies. This study highlights the importance of simulation-driven design for optimizing offshore wind turbine performance and supports the integration of adaptive pitch mechanisms to improve operational reliability, extend service life, and ensure stable power generation under varying offshore wind conditions
Study of Amoxicillin Residues in an Seketak River, Semarang, Indonesia: Eco toxicological Risk Assessment and Recommendations for Pharmaceutical Wastewater Quality Standards
This study investigates the presence of amoxicillin, a common antibiotic, in the Seketak River, Tembalang Sub-District, Semarang City, Indonesia, as a basis for recommending pharmaceutical wastewater quality standards. Amid rising concerns over antimicrobial resistance (AMR) and pharmaceutical pollution in aquatic ecosystems, this research addresses the gap in specific effluent limits for antibiotics in national regulations. A quantitative analytical approach was employed, involving water sampling at five points along the river (upstream, midstream, and downstream) near pharmaceutical industries, clinics, and hospitals. Samples were analyzed using High-Performance Liquid Chromatography (HPLC) to detect amoxicillin concentrations. Results revealed detectable levels of amoxicillin at two midstream sites (0.082 mg/L and 0.065 mg/L), while other sites were below the limit of detection (<0.05 mg/L). Physicochemical parameters (pH, BOD, COD, TSS, DO) met national standards (PP No. 22/2021), but benthic community analysis indicated moderate pollution stress, with tolerant species like Chironomus sp. present. The absence of specific amoxicillin thresholds in regulations such as Permen LH No. 5/2014 hinders risk assessment and compliance. Findings underscore the need for integrated wastewater management to mitigate AMR risks. Theoretically, this affirms the role of pharmaceutical residues in environmental degradation. Practically, it urges policymakers to establish antibiotic-specific standards, enhance treatment technologies, and promote stakeholder collaboration for sustainable water quality. In conclusion, targeted monitoring and policy reforms are essential for protecting river ecosystems from pharmaceutical pollution in urban-industrial areas like Semarang. 
Design and Development of an online Fund Transfer System with Data encryption standard and One-Time-Password
This paper aims to provide a robust online fund transfer system with enhanced security features in order to address the widespread use of online fund transfers through Internet Banking and the increasing risk of cyber-attacks. The objective of this paper is to create a system that combines the Data Encryption Standard (DES) cryptographic algorithm and a One-Time Password (OTP) authorization mechanism. This system aims to improve online security in financial transactions, specifically for Zambian financial service providers. By employing DES encryption, which is widely recognized for its strong encryption capabilities, the confidentiality and integrity of crucial transaction details are safeguarded when transmitted over the internet. In addition, the incorporation of OTP provides an additional level of security, necessitating users to verify their transactions by using a distinct OTP issued to their registered mobile devices. This methodology demonstrates a dedication to establishing higher benchmarks in safe online fund transfers, with the goal of offering Zambian financial service providers and consumers a robust and reliable platform for their digital banking requirements. The project has several ramifications, such as reducing the risks related to cyber-attacks, increasing confidence in online financial transactions, and supporting the development of digital financial services in Zambia and other areas.