Development of an Algorithm-Based Analysis-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 tracking of communication processes. The objective is to develop an Integrated Communication Tracking Management Information System (iCTMIS) that enhances operational efficiency by integrating Analysis 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 significantly proves that there is an improvement on the data analysis and reduce disk space through efficient compression. Significant findings reveal that OCR achieves up to 90% accuracy in text conversion, while LZW techniques in compressions substantially deflates among data and file sizes. This was evaluated against ISO 9126 Software Quality Characteristics, the iCTMIS has substantially shown to optimize storage and address VSUA's operational challenges effectively. This research therefore concludes that the systematic integration of combined algorithmic frameworks analysis compression to iCTMIS pointedly enhances organizational communication and administrative workflows efficiency.