Development of an Algorithm-Based Analysis and Compression Integrated Communication Tracking Management Information System (iCTMIS)

Abstract

This study addresses the challenges of administrative tasks and communication tracking at Visayas State University Alangalang (VSUA), highlighting the inefficiencies in the current manual processes. The objective is to develop an Integrated Communication Tracking Management Information System (iCTMIS) that enhances operational efficiency by integrating Optical Character Recognition (OCR) and Lempel- Ziv-Welch (LZW) Lossless and Zlib compression algorithms. By employing a developmental research design and ADDIE model, the system proves that there is an improvement on data analysis and reduces disk space through efficient compression. Significant findings reveal that OCR achieves up to 90% accuracy in text conversion, while LZW compressions substantially deflate data sizes. This was evaluated against ISO 9126 Software Quality Characteristics, the iCTMIS has shown to optimize storage and address VSUA’s operational challenges effectively. This research therefore concludes that the systematic integration of advanced algorithmic frameworks in iCTMIS significantly enhances organizational communication and administrative workflows efficiency.