Interdisciplinary Journal of Environment and Computer Innovations
June 2026 issue of the Interdisciplinary Journal of Environment and Computer Innovations.
Publisher: Bohol Island State University Candijay Campus College of Sciences
Frequency: Bi-annual
Balancing Accuracy and Interpretability in Tourism Competitiveness Forecasting: Evidence from Asian Economies
This study develops a robust forecasting framework to evaluate human capital readiness in the tourism sector, focusing on Asian economies using education-related indicators from the Travel and Tourism Development Index (TTDI). A Composite Readiness Index (C...
Clustering ASEAN Countries by Climate Anomalies and Seasonal Deviations : An Unsupervised Machine Learning Approach
Climate change has caused significant warming and increased climate variability worldwide, with Southeast Asia experiencing rapid temperature increases and recurrent extreme events in recent decades. This study employs an unsupervised machine learning appro...
Data-Driven Prediction of Emission Factors in Nano-Additive Biofuel Engines: A Comparative Machine Learning Approach
Accurate prediction of emission factors in biofuel-powered internal combustion engines is critical for enhancing energy efficiency and reducing environmental impact. This study investigates the effectiveness of machine learning techniques in modeling emissi...
Development of Web-Based Sangguniang Kabataan Management System for Jagna, Bohol, Philippines
Supporting youth programs and activities is essential for strengthening community development at the barangay level. In the municipality of Jagna, Bohol, many administrative tasks of the Sangguniang Kabataan (SK), such as managing youth records, monitoring ...
HEALTHHUB: Clinic Management System at BISU Candijay
Providing good healthcare services in schools is important to support the well-being of students, faculty, and staff. At Bohol Island State University (BISU) – Candijay Campus, most clinic tasks were done manually, which sometimes made managing medical reco...
Comparative Analysis of Machine Learning Models for Customer Churn Prediction Using Engineered Behavioral Features
This study presents a machine learning approach for bank customer churn prediction using a leakage-controlled preprocessing pipeline and engineered behavioral features. The dataset consisted of 10,000 customer records, where identifier and leakage-prone var...
Fog-Powered CropGuard: Live Health Monitoring System for Tomato, Corn, and Bell Pepper Using YOLOv8n and VGG-16
This study presents the development of Fog-Powered CropGuard: Live Health Monitoring System for Tomato, Corn, and Bell Pepper Using YOLOv8n and VGG-16, designed to detect and monitor plant health for tomato, corn, and bell pepper. The system integrates Arti...