European Journal of Technology <p>European Journal of Technology is an open access journal hosted by AJPO Journals USA LLC. The journal contains information in field of technology in areas of generation of ideas and enhancing inventions and innovations in systems, resources, requirements, optimization, processes and controls. The journal further gathers knowledge in various creative designs. Publication in this journal is affordable and serves as a support tool to both advancing and upcoming researchers. The journal features among other indices in the google scholar which enhance its referencing in other research studies and articles.</p> <p>The journal manuscripts undergo a quality double blind peer review process to uphold proficiency in the manuscripts published in the journal. Despite the detailed review process, the review process is fast and within two weeks the publication process is complete. The journal publication cost is low and affordable. The journal, furthermore, offers an open access for scholars to the articles and keeps a metrics record of the number of article reads and downloads which serves as an added advantage for the authors. Moreover, the journal serves as a template for other researchers to prepare their manuscripts for publication. Its indexed in google scholar, Crossref (DOI), Ebscohost, Research Gate among others.</p> <p> </p> en-US (Journal Admin) (Chief Editor) Wed, 04 Jan 2023 21:22:16 +0300 OJS 60 Smart Airtime Vending Machine: A Case of Nyamasheke District, Nyabitekeri Sector <p><strong>Purpose:</strong> The aim of this paper was undertaking modern technology by designing and implementing a smart airtime vending machine known as a self-service airtime vendor machine that will come as an additional method apart from the current airtime selling and buying methods which are mobile money, banking, airtime agent that involves &nbsp;theft of money and airtime loading mistakes and errors. It will help rural citizens to buy airtime using a coin where a customer has to enter the mobile number using a keypad then inset coin in airtime vending machine, and automatically the machine dispenses the airtime equivalent to the amount inserted.</p> <p><strong>Methodology:</strong> The methodology used consists of an IoT system where the customer will access the vending machine by inserting it into a coin to buy airtime. This research consists of three main parts, the first part is the interconnection of IoT hardware components that build the entire circuit and are linked to the cloud via GPRS/GSM communication technology, this part involves sensing components, data processing components, and actuators components. The second part consists of coding using Arduino IDE that makes IoT system hardware operational and the last part is data processing and analytics using python programming and regression as a machine learning technique. The system monitoring is done through wireless radio, the cloud data storage is secured and can be easily accessible by authorized users via a web interface. The battery is used for powering the system and the solar panel for recharging the battery. All transaction data are recorded and given date returns the day type between working days, weekends, and the session of the day.</p> <p><strong>Findings: </strong>The results of the research include an IoT system that is developed and implemented to help both airtime agents and customers to sell and buy airtime using coin-based self-service airtime vending machine and the model that analyse machine transaction data using Python programming and regression as a machine learning technique.</p> <p><strong>Unique contribution to practice:</strong> It improved the airtime vending system's efficiency and sustainable management of airtime agent. It facilitates safe selling and buying of airtime across the country especially in rural areas where getting airtime seemed to be a problem. The Internet is also used for linking cloud platform and application indicates that the vending machine can provide positive impact in society including self-service of airtime to citizens from nearby vendors, the distribution of machines country wide can increase employability.</p> Habumugisha Fulgence, Gasana James Madson, Ineza Yves, Shumbusho Jean Pierre, Uwantege Stellah Prossy, Habyarimana Projecte Copyright (c) 2023 European Journal of Technology Sun, 19 Feb 2023 00:00:00 +0300 IoT and AI Based Student’s Attendance Monitoring System to Mitigate the Dropout in Non-boarding Secondary Schools of Rwanda: A Case Study of Wisdom School Musanze <p><strong>Purpose:</strong> This project aimed to test an IoT and AI based system that monitor students from home to schools, during class hours and from school to home and notify parents and school administrators about the irregularity observed to their respective children.</p> <p><strong>Methodology</strong>: In this project, secondary data was used and was retrieved from the school’s record of Wisdom School Musanze located in Musanze District. The main data to consider were sex whether male or female. Another important data was orphanage,whether pupil is orphan or not orphan, and school fees payment by checking whether student paid school fees or had not paid.&nbsp; These mentioned data were taken randomly from senior one (S1) to senior six (S6) in academic year 2020-2021.</p> <p><strong>Findings: </strong>The system is equipped of a finger print sensor to register and verify students and staff attendance, a Passive Infrared (PIR) sensor to detect the presence of human to wake-up the device, a real time clock to synchronize each generated report with the local time. A web application is developed to allow students real-time monitoring for parents and school administrators and the system is be able to generate a daily, monthly and annually report.&nbsp;&nbsp;</p> <p><strong>Unique contribution to theory, practice and policy: </strong>Classification machine learning with decision-tree algorithm is used to analyze data and generate a model to evaluate the impact of monitoring attendance on preventing students to dropout. The generated model with accuracy of 91.4% shows that keeping students’ attendance at high percentage would reduce significantly the dropout rate in secondary schools of Rwanda. &nbsp;</p> <p>&nbsp;</p> Munyaneza Midas Adolphe, Gasana James Madson, Uwimana Josephine, Shumbusho Jean Pierre, Nzayisenga Joselyne, Gafeza Gaspard, Niyonzima Martin Copyright (c) 2023 European Journal of Technology Tue, 21 Mar 2023 00:00:00 +0300 Comparative Analysis of Encryption Algorithms <p><strong>Purpose: </strong>Encryption algorithm allows users to extend the assurance found in the physical world to the electronic world in the carrying out of our day-to-day activities. This research attempts to make a comparative evaluation of two encryption algorithms (Advanced Encryption Standard (AES) and Rivest Shamir Algorithm (RSA) in order to ascertain the most reliable in terms of their encryption time, decryption time, Key length, and cipher length.</p> <p><strong>Methodology:</strong> Java programming was used for the development and Mongo Db to generate data parsing.</p> <p><strong>Findings: </strong>The results obtained from the development revealed that AES is considered more efficient because it uses lesser time for encryption and decryption, reduces cipher and key length as compared with RSA which consumes longer encryption and decryption time, and increases cipher and key length. Excel package was also used to display the pictorial representation of the comparison between these algorithms.</p> <p><strong>Recommendation: </strong>Advanced encryption standard is recommended for security-based application developers because of the small time of encryption and decryption.</p> Agbelusi Olutola, Matthew Olumuyiwa Copyright (c) 2023 European Journal of Technology Wed, 04 Jan 2023 00:00:00 +0300