Propose a System of Collecting and Analyzing Casual Labor Data in Libya Based on Distributed Systems and Weka Visualization 

Abstract

The aim of this research is to propose a system for collecting and analyzing casual labor data in Libya, leveraging distributed systems and the Weka visualization tool. The current labor market in Libya relies heavily on casual labor, which poses challenges in terms of data collection and analysis due to its decentralized nature. The proposed system aims to address these challenges by utilizing distributed systems to efficiently gather data from various sources and employing the Weka visualization tool for comprehensive analysis. The system consists of two main components: Data collection and data analysis. For data collection, a distributed system architecture is proposed, which enables the collection of labor data from multiple sources such as job platforms, recruitment agencies and government databases. The distributed system ensures efficient and reliable data retrieval, incorporating mechanisms for data quality control and validation. The proposed system has several advantages. Firstly, it improves the efficiency and accuracy of data collection by leveraging distributed systems, reducing manual efforts and minimizing errors. Secondly, the utilization of Weka for data analysis enhances the understanding of casual labor trends, patterns and demographics, enabling better decision-making in labor market policies and resource allocation. Additionally, the system contributes to the overall digitalization and modernization of labor market data management in Libya.