This study on the development and validation of a document tracking model for utilization of Philippine Higher Education Institutions was undertaken to produce a system that would facilitate the management of documents in state universities or colleges by providing a way to monitor, record and track the location of in-process documents to support an academic organization. The Software Development Process was used as basis for the development of the software involving phases such as user requirements specification, design and implementation, validation and evolution (i.e. the process of changing or modifying the system once it has gone validation and yielded feedbacks for further modification). The acceptability of the software as evaluated by forty (40) office personnel representing every units of the Tarlac Agricultural Universitythe sample locale of the study, was confirmed in terms of user interface and functionality. These evaluators judged the software based on their skills and ability to use the software while carrying out their job functions. Five (5) IT experts also judged the software in terms of user interface, functionality, database design and security. Based on the results of the study, findings indicate that the document tracking system is excellent for the evaluators as process owners with a grand mean of 4.54 with its ease of use because of the simplicity of operations and the design itself with the reliability and usability or fitness for purpose as to tracking in-process documents and generating reports. The experts also evaluated the system as excellent with a grand mean of 4.58 -hence, the system's visual, functional and navigational elements and the manner it requests information helps the user operate the document tracker. Security was also judged as excellent because the system can control users and produce integral records.
Graph-theoretic clustering either uses limited neighborhood or construction of a minimum spanning tree to aid the clustering process. The latter is challenged by the need to identify and consequently eliminate inconsistent edges to achieve final clusters, detect outliers and partition substantially. This work focused on mining the data of the International Linkages of Philippine Higher Education Institutions by employing a modified graph-theoretic clustering algorithm with which the Prim's Minimum Spanning Tree algorithm was used to construct a minimum spanning tree for the internationalization dataset infusing the properties of a small world network. Such properties are invoked by the computation of local clustering coefficient for the data elements in the limited neighborhood of data points established using the von Neumann Neighborhood. The overall result of the cluster validation using the Silhouette Index with a score of .69 indicates that there is an acceptable structure found in the clustering resulthence, a potential of the modified MSTbased clustering algorithm. The Silhouette per cluster with .75 being the least score means that each cluster derived for r=5 by the von Neumann Neighborhood has a strong clustering structure.
Graph-theoretic clustering is one method of clustering where dataset is represented with a connected undirected graph having the distance between these points as the weights of the links between them. One approach is the construction of the Minimum Spanning Tree of said graph where the connected subgraphs formed after the removal of an inconsistent edge are the clusters. However, such methods suffer with drawbacks including partitioning without sufficient evidence and robustness to outliers. Hence, this work aims to modify the Prim's MST-based clustering algorithm to produce a spanning tree of the dataset infusing the small-world network thereby invoking its properties (i.e. small mean shortest path length and high clustering coefficient) which manifest inherent or natural clustering characteristics.
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