Issue Description
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.
