Vol. 1 No. 6 (2026): BIMA issue September 2026

View Vol. 1 No. 6 (2026): BIMA issue September 2026

Advances in information technology and computational intelligence are increasingly driving the use of data to support the resolution of various issues in the fields of health, public services, business, policy, and public safety. A number of studies published in Volume 1, Issue 6, September 2026, demonstrate the application of diverse approaches tailored to the characteristics of the problems at hand. Machine learning was used to classify the service burden levels of the pension program at PT ASABRI by constructing burden categories based on operational data and identifying the most influential factors. In the realm of public opinion analysis, a comparison of Naive Bayes, SVM, and Logistic Regression was applied to identify public sentiment toward the Free Nutritious Meals Program, with SVM demonstrating the best performance on the data used. Another study examined the impact of feature selection and handling data imbalance on breast cancer classification using the WDBC dataset. In the business sector, the Apriori algorithm was utilized to discover purchasing patterns and support cross-selling strategies and product placement. Meanwhile, an IoT application was developed to monitor extreme weather and provide early warnings to traditional fishermen through sensors, a web dashboard, and Telegram. Overall, these five studies demonstrate that data processing and intelligent technologies can be directed toward more measurable and practical solutions tailored to the needs of various environments.

Published: 2026-09-30

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