International Journal Software Engineering and Computer Science (IJSECS)

Internet of Things (IoT) Integration for Real-Time Monitoring in Smart Cities

T. Irfan Fajri — 2025-02-10

The advancement of Internet of Things (IoT) technology has opened great opportunities for the implementation of real-time monitoring systems in supporting smart city management. This research aims to develop an IoT integration model that can monitor various urban aspects, such as traffic management, energy consumption, waste management, and air quality, in an efficient and integrated manner. The model is designed to collect, process, and analyze data from various IoT sensors scattered in urban areas, with a focus on delivering information in an integrated manner. urban areas, with a focus on delivering real-time information to the government and the public. The research methodology includes the development of development of an IoT-based system prototype that integrates hardware and hardware and software with the support of cloud computing architecture for data management. data management.

Education Module as a Learning Aid for Fantasy-Based Materials via Local Area Network (LAN)

Ada Udi Firmansyah — 2025-02-10

Fantasy Education Module is intended to enhance early childhood learning with engaging and interactive learning media. A wireless local area network (LAN) module has been developed for writing, reading and coloring activities to support and enhance classroom productivity. The system provides deeper learning of educational content with multimedia interactive features that can engage younger children in the topics. This paper examines the impact of LAN module design with interactive elements on children’s teaching methods and learning outcomes, concentrating specifically on the role of interactive design in skill development. The study aims to identify the effectiveness of LAN based Module design in improving teaching and learning outcomes with particular attention to how interactive elements can ensure better skill development. The study investigates whether LAN technology, in an interactive environment that supports leisure time, can complement learning spaces better than those traditionally provided. Findings from the primary studies indicate significant learning improvements with more interactive media used, related to cognitive or motor skills. Active participation, and customized learning modes are the themes of the module to meet individual learner styles and task levels. The results of the study show that these modules have great potential as effective educational agents in early childhood education can add much-needed dynamism to basic skills learning.

The Application of Artificial Intelligence for Anomaly Detection in Big Data Systems for Decision-Making

Cut Susan Octiva — 2024-12-01

The development of big data technology has generated huge volumes of diverse data, creating challenges in detecting anomalies that could potentially affect decision-making. This research aims to examine the application of artificial intelligence (AI) in detecting anomalies in big data systems to support faster, more accurate and effective decision-making. The approach used includes the integration of machine learning algorithms, such as classification-based detection, clustering, and deep learning, in identifying abnormal patterns in large datasets. The research method involves real-time dataset-based simulations by measuring the performance of AI models using accuracy, precision, recall, and F1-score metrics. The results show that the application of AI can significantly improve the anomaly detection capability compared to conventional methods, with an average accuracy of 92%.

The Implementation of Gamification Methods in the Edusting Application as an Educational Medium to Enhance Mothers Knowledge of Stunting

Bernadete Deta — 2024-12-01

Interventions for stunting are an urgent public health priority. Because mothers' limited knowledge about stunting has a direct impact on stunting prevention and management. One of the extraordinary outreach programs is the stunting socialization program for mothers of toddlers carried out at the integrated health post. However, the socialization action is considered too limited. Gamification is one potential approach to increase the effectiveness of these efforts by introducing game design and game elements into educational content in three areas: childcare practices, nutritional intake, and stunting prevention. This is expected to explore mothers' involvement and motivation to prevent stunting. Mothers certainly prefer a more attractive interactive interface and gamification applications will stimulate cognitive and emotional involvement so that mothers feel more comfortable in the learning process about stunting management. In this study, we present the design of an education that aims to help mothers understand and overcome stunting. This application is expected to make mothers better understand parenting patterns, nutrition, and stunting management so that it can help mothers' learning to increase the speed of mothers' understanding of stunting prevention.

Development of a Web-Based SQL Query Online Examination System with Automated Grading Using the MVC Design Pattern

Yoppy Yunhasnawa — 2024-12-01

In this study, the Researchers provide the design, development, and evaluation of a web-based SQL exam system that utilizes the Model-View-Controller (MVC) architectural pattern to enhance automated grading functionality and ease of maintenance. The main objectives of the system are to simplify the process of administering SQL exams, to make it user-friendly for students to enter their SQL statements, and as a means for teachers to automate the grading process. This allows a clear separation between three separate modules: Model to manage data, View to present the application to users, and Controller to manage the application logic. This separation allows for modular development, easier maintenance, and code reuse. The fundamental aspect of the system lies in its automated grading mechanism, which intelligently compares the SQL queries submitted by students with the corresponding validated answer keys stored in the database. Extensive black-box testing was conducted to ensure the reliability and accuracy of the system with various test cases to assess its ability to assess responses and provide real-time feedback to students, in addition to smooth and intuitive navigation within the system. All testing criteria yielded successful results with 100% agreement proving the robustness of the system with all possible locations that could potentially be used in higher education structures. The system provides a scalable and flexible approach to address the challenges associated with SQL assessment in academic institutions, thereby facilitating uniform, efficient, and objective evaluation standards. The system uses data up to October 2023 to prevent the model from becoming obsolete