International Journal Software Engineering and Computer Science (IJSECS)

The collection in Vol. 5 No. 1 (2025) of IJSECS cuts straight to pivotal advancements in software engineering and computer science. Expect sharp analyses on consumer purchase patterns via the Apriori algorithm, alongside real-time IoT monitoring systems for smart urban environments. The journal tackles UI/UX design for mobile catering apps with precision, while dissecting poverty data clustering through K-Means. Web-based financial systems get rigorous treatment, as do Android apps for football news and inventory control. Standout discussions cover deep learning applications in mammalian reproduction classification and sentiment analysis on social platforms using SVM and BERT methods. IoT solutions for soil moisture in agriculture are scrutinized, paired with data visualization for sales and commodity price forecasting using LSTM. Artificial intelligence app development also faces critical evaluation. Each piece demands attention for its technical rigor and practical relevance, pushing boundaries without fluff or overstatement.

This edition includes articles that apply advanced technologies in software engineering and computer science. Stock portfolio analysis using machine learning algorithms aims to make better investment decisions. A web-based information system for housing marketing in West Papua and customer satisfaction classification using the K-Nearest Neighbor algorithm at PT. Airkon Pratama are also discussed. Automatic detection of skin diseases using convolutional neural networks and the efficiency of the Sipadu application for employee attendance management are other research focuses. Innovations such as an Odoo-based asset management system, a gamification application for stunting education, and sales prediction using Decision Tree are also included. This edition emphasizes the importance of technology in improving efficiency, user experience, and decision making in various sectors.

Volume 4, Issue 2 (August 2024) of the International Journal of Software Engineering and Computer Science (IJSECS) presents a diverse array of research in software engineering and computer science. Highlights include the implementation of digital signatures in a hospital’s patient progress notes system, the development of a web-based complaints management system, and strategies for AI-assisted hate speech detection on social media. The issue also explores predictive models for demand forecasting, IoT-based facial recognition for home security, and the integration of blockchain in banking. Other notable studies focus on clustering methods for production requirements, facial recognition for employee attendance, and optimization techniques in logistics management. Each article offers valuable insights into current challenges and advancements in technology, providing practical applications across various industries, from healthcare and education to e-commerce and government services.

International Journal Software Engineering and Computer Science (IJSECS), Vol. 4 No. 1 (April 2024), features diverse studies on contemporary software engineering and computer science issues. The edition covers topics such as machine learning applications in natural disaster classification, load balancing in SD-WAN for efficient internet bandwidth management, and the utilization of Naïve Bayes for hoax news classification. It also includes research on augmented reality to aid learning in preschool and for students with intellectual disabilities, optimization techniques for e-commerce and electoral predictions, and the impact of technological advancements on higher education. Additionally, the journal explores IoT for agricultural monitoring, mobile applications for maternal health, and security in classical cryptography. Each article demonstrates innovative solutions and methodologies addressing real-world challenges, contributing significantly to the field's advancement. The issue emphasizes the practical application of algorithms and system designs to improve efficiency and user experience across various domains.

International Journal of Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (December 2023) presents a collection of articles addressing various aspects of software engineering and computer science. Topics include the evaluation of online learning quality, sentiment analysis of user reviews for the Shopee application, the development of augmented reality applications, digital library strategies, and enterprise architecture implementation in e-government services. Additional articles cover topics such as mobile applications, attendance systems, machine learning, data analytics, and decision support systems, reflecting a diverse range of research in the field.

In the August 2023 issue of the International Journal of Software Engineering and Computer Science (IJSECS) Vol. 3 No. 2, a variety of articles are presented. These articles delve into different aspects of the field, including the significance of personalization in adaptive learning environments, real-time emotional analysis in e-learning, VoIP implementation at SMKN 1 Bangkinang, and the design of a web-based vehicle asset information system in Banda Aceh City. Additionally, topics such as expert systems for diagnosing eye diseases, the future of education for Generation Alpha, and electronic medical record management at Majalaya Hospital are explored. The issue also addresses e-commerce supply chain optimization, the role of e-commerce in sales using Unified Modeling Language, and investment decisions in digital business. Furthermore, personalized marketing strategies, Tsukamoto Fuzzy Logic in investment decision making, and the use of enterprise architecture in project management application systems are discussed. Lastly, articles cover e-commerce product recommendation systems, customer analysis in e-commerce using the Dempster-Shafer method, showcasing the wide array of research topics within software engineering and computer science.

Volume 3, Number 1 (April 2023) of the International Journal of Software Engineering and Computer Science (IJSECS) features a collection of diverse research papers. The first article investigates the significance of the website-based public service information system for the Istiqlal Mosque Management Agency. The second paper presents an Android Smartphone Damage Diagnosis Expert System utilizing the web-based forward chain method. In the third study, the author delves into the modeling and estimation of Nickel Laterite resources using geocomputing methods at North Konawa, Southeast Sulawesi. The fourth article focuses on AI-Powered Personalized Mobile Education for New Zealand Students. Lastly, the researchers explore the revitalization of SIAKAD as a solution to the challenges of digitizing education.