Botika: A pharmaceutical management system using seasonal autoregressive integrated moving average (Sarima) model and clustering algorithm

By: Bacani, Nicole D.; Balitustus, Dwayne Douglas C.; Porcalla, Christel S
Language: English Publisher: . . c2025Description: Capstone Project: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2025Content type: text Media type: unmediated Carrier type: volumeGenre/Form: academic writingDDC classification: . LOC classification: T58.5 B33 2025
Contents:
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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Item type Current location Home library Collection Call number Status Date due Barcode Item holds
Thesis/Dissertation PLM
PLM
Filipiniana Section
Filipiniana-Thesis T58.5 B33 2025 (Browse shelf) Available FT8841
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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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