Botika: A pharmaceutical management system using seasonal autoregressive integrated moving average (Sarima) model and clustering algorithm (Record no. 37245)

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control field 20251128083050.0
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Classification number T58.5 B33 2025
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Personal name Bacani, Nicole D.; Balitustus, Dwayne Douglas C.; Porcalla, Christel S.
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Title Botika: A pharmaceutical management system using seasonal autoregressive integrated moving average (Sarima) model and clustering algorithm
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture .
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Date of production, publication, distribution, manufacture, or copyright notice c2025
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Other physical details Capstone Project: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2025
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Formatted contents note ABSTRACT: The study presents “Botika”: A Pharmaceutical Management System using Seasonal Autoregressive Integrated Moving Average (SARIMA) Model and Clustering Algorithm,” which addresses key pharmaceutical challenges in small and medium-sized enterprises (SMEs), particularly pharmacies in Metro Manila. BOTika aims to create an integrated and efficient system that optimizes inventory management, sales tracking, profit analysis, and medicinal management, thereby addressing common challenges faced by pharmacies. The specific objectives include improving efficiency in pharmaceutical operations, particularly inventory management, through predictive analytics using the SARIMA model. It also employs a Retrieval Report Algorithm for data access and Statistical Analytics for interpretation. Additionally, the system facilitates a Clustering Algorithm to categorize medicines based on key attributes, facilitating the creation of discounts and promos. To ensure seamless and user-friendly interactions, the system incorporates an intuitive interface and enhances accessibility for both administrators and customers. Advanced security measures, including authentication protocols and data encryption, are also integrated to safeguard sensitive pharmacy data. Furthermore, BOTika supports real-time data monitoring, allowing pharmacies to adjust their inventory strategies dynamically based on demand fluctuations. The system’s dashboard, designed as a Progressive Web App (PWA), enables administrators to efficiently track operations, while customers can benefit from a pre-ordering features. Key findings highlight the SARIMA model’s accuracy in forecasting demand, enhancing decision-making in pharmaceutical management. The overall aim of the project is to modernize pharmacy management, improve user experience, and meet the industry’s evolving needs, contributing to both sustainable pharmacy practices and economic growth in the country.
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Classification Filipiniana
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Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent Location Current Location Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Item type
          Filipiniana-Thesis PLM PLM Filipiniana Section 2025-10-02   T58.5 B33 2025 FT8841 2025-11-28 2025-11-28 Thesis/Dissertation

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