MedTrackr:

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creativework.keywordsinventory, medical supply forecasting, regression
dc.contributor.advisorMique, Eusebio L. Jr.
dc.contributor.authorBasa, Stefanie M.
dc.contributor.authorBalanon, Marc Ian T.
dc.contributor.authorChan, Kaureen Valerie D.
dc.contributor.authorVillanueva, Kharyne P.
dc.contributor.chairHortizuela, Manny R.
dc.contributor.committeememberTorres, Doreen A.
dc.contributor.committeememberDawaton, Jennifer S.
dc.date.accessioned2026-03-12T04:21:49Z
dc.date.available2026-03-12T04:21:49Z
dc.date.issued2025-03
dc.descriptionFull text
dc.description.abstractMedTrackr: Inventory Analysis of Medical Supplies using Regression Analysis aimed to develop a web-based application that enhances medical supply forecasting and management for healthcare organizations. The project focused on analyzing historical data to predict future inventory needs, helping facilities maintain optimal stock levels and minimize shortages or excesses. The system was developed using the Extreme Programming methodology, emphasizing interative development and user-centered design to ensure reliability and usability. By integrating the SARIMAX model, the application generated precise forecasts displayed through interactive graphs and dashboards, enabling users to visualize monthly supply requirements. The system’s functionality and usability were evaluated using the User Experience Questionnaire (UEQ), with feedback gathered from key stakeholders, including IT professionals and healthcare staff. Results indicated that the system effectively met its objectives, offering a practical and user-friendly tool for inventory management.
dc.format.extentxi, 53 p.: ill. (col.).
dc.identifier.citationBasa, S. M., Balanon, M. I. T., Chan, K. V. D., & Villanueva, K. P. (2025). MedTrackr: Inventory analysis of medical supplies using regression analysis. [Unpublished Undergraduate Thesis].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/123456789/1179
dc.language.isoEnglish
dc.publisherDon Mariano Marcos Memorial State University – Mid La Union Campus
dc.rights.licenseCC BY 4.0
dc.sdgSDG 12
dc.subjectInventories
dc.subjectMedical personnel--Supply and demand--Mathematical models
dc.subjectMedical supplies
dc.subjectMedical supplies industry
dc.subjectMedical electronics--Equipment and supplies
dc.subjectMedical supplies--Sterilization
dc.subjectMedical laboratories--Equipment and supplies
dc.subjectEconomic forecasting
dc.subjectPopulation forecasting
dc.subjectForecasting
dc.subjectRegression analysis
dc.subjectLogistic regression analysis
dc.subjectRegression analysis--Computer programs
dc.subjectRegression analysis--Data processing
dc.subjectRegression analysis--Mathematical models
dc.subjectRegression analysis--Econometric models
dc.subjectRegression analysis--Asymptotic theory
dc.subjectRegression analysis--Mathematical models--Evaluation
dc.subjectRegression analysis--Graphic methods
dc.titleMedTrackr:
dc.title.alternativeInventory analysis of medical supplies using regression analysis
dc.typeThesis
dcterms.accessRightsOpen access
thesis.degree.disciplineCollege of Information Technology
thesis.degree.levelUndergraduate
thesis.degree.nameBachelor of Science in Information Technology
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