"MEDICKO" : a medicine reminder mobile application / Marvin M. Castanos, April Rose I. Perez, and Althea Dianne R. Regio.
Material type:
TextPublisher: Rosario, Cavite : Cavite State University-CCAT Campus, 2018Description: xi, 137 leaves : illustrations ; 28 cmSubject(s): Mobile apps | Web application | MedicinesLOC classification: UM QA 76.76 | Ca37 2018Summary: PEREZ, APRIL ROSE L, CASTAÑOS, MARVIN M. AND REGIO, ALTHEA DIANNE R. "Medicko: A Medicine Reminder Mobile Application. Capstone Project Bachelor of Science in Information Technology Cavite State University-CCAT Campus. Rosario, Cavite. May 2018. Adviser Prof Christopher G. Estonilo.
The study was conducted from August 2017 to March 2018 at Cavite State University-CCAT Campus to develop a medicine reminder mobile application called Medicko Specifically, the study aimed to: 1) design the medicine reminder mobile application using android studio development tool, 2) test and evaluate application using modified ISO-EIC 25010 software evaluation instrument; and 3) install the application into mobile phones with android operating system
The developers used the object oriented analysis methodology particularly the interactive model to develop the application where the planning phase, analysis phase, and design phase performed continuously to design the initial version of the application The application was evaluated by five (5) IT experts, ten (10) general end-users outside the campus, nineteen students of Bachelor Science Information Technology and one (1) campus nurse. The results of the evaluation application showed a total average of 3.61 which described as very satisfactory for the mobile developer respondents. On the other hand, for the end-users, it gained a total average of 4.41 which also described as very satisfactory descriptive interpretation.
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Cavite State University - CCAT Campus | Thesis/Manuscript/Dissertation | TH | UM QA 76.76 Ca37 2018 (Browse shelf) | 1 | Available | T0004265 |
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| UM QA 76.76 A73 2017 Development of Arduino-based Real-time Water Quality Monitoring System for Aquaponics / | UM QA 76.76 Al48 2015 Development of computerized class scheduling system of Cavite State University - Rosario / | UM QA 76.76 C37 2015 Development of computerized academic system for Cavite State University - Rosario Campus / | UM QA 76.76 Ca37 2018 "MEDICKO" : a medicine reminder mobile application / | UM QA 76.76 L86 2022 Trikompanyon : a ridersharing for tricycle transportation / | UM QA 76.76 R63 2019 Galaw Pinoy : a web based system for online Philippine folk dance directory / | UM QA 76.76.774 D85 2014 Development of first aid survival tutorial mobile application for android operation system / |
A Capstone Project (BSInfotech) -- Cavite State University-CCAT Campus, 2018.
Includes bibliographical references and appendices.
PEREZ, APRIL ROSE L, CASTAÑOS, MARVIN M. AND REGIO, ALTHEA DIANNE R. "Medicko: A Medicine Reminder Mobile Application. Capstone Project Bachelor of Science in Information Technology Cavite State University-CCAT Campus. Rosario, Cavite. May 2018. Adviser Prof Christopher G. Estonilo.
The study was conducted from August 2017 to March 2018 at Cavite State University-CCAT Campus to develop a medicine reminder mobile application called Medicko Specifically, the study aimed to: 1) design the medicine reminder mobile application using android studio development tool, 2) test and evaluate application using modified ISO-EIC 25010 software evaluation instrument; and 3) install the application into mobile phones with android operating system
The developers used the object oriented analysis methodology particularly the interactive model to develop the application where the planning phase, analysis phase, and design phase performed continuously to design the initial version of the application The application was evaluated by five (5) IT experts, ten (10) general end-users outside the campus, nineteen students of Bachelor Science Information Technology and one (1) campus nurse. The results of the evaluation application showed a total average of 3.61 which described as very satisfactory for the mobile developer respondents. On the other hand, for the end-users, it gained a total average of 4.41 which also described as very satisfactory descriptive interpretation.
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