Assessment and thematic analysis of activities of the schools division of Benguet based on clustering algorithm

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creativework.keywordsassessment, clustering algorithm, online activity evaluation system, thematic analysis
dc.contributor.advisorCadaoas, Genevieve C.
dc.contributor.authorFrondarina, Gary Basilio.
dc.contributor.chairLedda, Mark Kristian C.
dc.contributor.committeememberSapuay-Guillen, Sheena I.
dc.date.accessioned2025-09-24T06:07:06Z
dc.date.available2025-09-24T06:07:06Z
dc.date.issued2024-04
dc.descriptionFull text
dc.description.abstractEvaluation is a critical tool in systematically assessing the effectiveness, efficiency, and output of various projects, programs, and activities. This research delves into the essential steps in activity evaluation, emphasizing the significance of clear goal definition, meticulous data collection, rigorous analysis, and insightful interpretation. It aimed to enhance activity evaluation methodologies and practices for activities within the Schools Division of Benguet (SDO). The study developed an Assessment and Thematic Analysis system using a Clustering Algorithm for data analysis. This system processes and analyzes data from activities, providing a comprehensive overview of feedback and participants’ engagement. The study employed both descriptive and applied research designs, integrating the Cross Industry Standard Process for Data Mining (CRISP-DM) framework and the K-means clustering algorithm as the primary analysis tool. Concurrently, the Agile Kanban model was used for system development. The SDO Benguet Online Activity Evaluation System facilitates user segmentation, thematic analysis, and clustering. Rigorous testing ensured adherence to user acceptability standards, indicating the system's reliability and efficiency. Recommendations include encouraging full adoption of the online platform by program owners, providing proper ICT training and technical assistance, and implementing comprehensive monitoring and evaluation strategies. Further studies are suggested to expand assessment processes across different organizational settings, considering additional system configurations for improved outcomes.
dc.format.extentix, 83 p.: ill. (col.)
dc.identifier.citationFrondarina, G.B. (2024). Assessment and thematic analysis of activities of the schools division of Benguet based on clustering algorithm. [Unpublished Master's Thesis]. Don Mariano Marcos Memorial State University – Mid La Union Campus, City of San Fernando, La Union. Lakasa ti Sirib, DMMMSU Institutional Repository.
dc.identifier.urihttps://lakasa.dmmmsu.edu.ph/handle/123456789/445
dc.language.isoen
dc.publisherDon Mariano Marcos Memorial State University – Mid La Union Campus
dc.rights.licenseCC BY 4.0
dc.sdgSDG 4
dc.subjectOnline auction platform
dc.subjectE-commerce systems
dc.subjectIndigenous handicrafts
dc.subjectTraditional art pieces
dc.subjectDigital marketplace
dc.subjectCultural heritage products
dc.subject.ddcSchools
dc.subject.ddcEducational tests and measurements
dc.titleAssessment and thematic analysis of activities of the schools division of Benguet based on clustering algorithm
dc.typeThesis
thesis.degree.disciplineCollege of Information Technology
thesis.degree.levelMaster
thesis.degree.nameMaster of Information Technology
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