Course Material: Business Analytics and Decision Support with R

CRIteria Significance determining in PYthoN - The Python 3 Library for determining criteria weights for MCDA methods.

Reinforcement learning framework for decision-level interception prioritization of drone swarms.

Using ML to predict the diagnosis, management, and severity of pediatric appendicitis

Pakcage perhitungan sistem pendukung keputusan metode Fuzzy AHP menggunakan PHP.

Supplemental material like code, exercises, datasets, notes etc. for my book "The Modern Business Data Analyst: A Case Study Introduction into Business Analytics with CRISP-DM and R"

Project Kasus Simpel mengenai Sistem Pendukung Keputusan pada berbagai algoritma

Computer-based Decision Support Systems - Spring 2018

An Intro to Programming in VBA (Computer-based Decision Support Systems - Spring 2019)

Open Source Software Resources for Programming Multicriteria Applications

Code for "Towards Human-AI Complementarity with Prediction Sets", NeurIPS 2024

The code accompanies the paper "Clustering temporal disease networks to assist clinical decision support systems in visual analytics of comorbidity progression".

🌾 AI-powered smart agriculture decision support system using machine learning 🌱🤖 and real-time APIs, built with PHP for crop disease detection, AI-based treatment planning, ROI statistics, and real-time market data, with admin management and dataset model training. Stored in a database and csv, Mysql.

This project is an implementation of a research line carried out by Matías E. Gandolfo, Martín E. Buron Brarda, Luciano H. Tamargo, and Alejandro J. García, all of them members of the Institute for Computer Science and Engineering (UNS-CONICET), Department of Computer Science & Engineering, Universidad Nacional del Sur, Bahía Blanca, Argentina

Config files for my GitHub profile.

Computer-based Decision Support Systems - Fall 2018

Supporting the Choice of University for Exchange Programs

https://doi.org/10.21107/kursor.v10i3.236

End-to-End Python implementation of the Heuristic-Augmented Financial Risk Index (HAFRI) framework from Abdullah et al. (2025). Processes expert surveys and financial statements to generate composite risk scores, enabling robust ranking of fiscal periods through hierarchical decomposition and consistency validation.

AI-driven business management and data analysis project for airport operational difficulties, providing insights and forecasting passenger traffic, delays, and resource utilization. Net data analysis and AI-based business management project analyzing airport department operational challenges, performance metrics, and forecasting future risks.