MañanaList App: A Mobile To-Do List Application for Efficient and Personalized Task Management

This study developed the MañanaList App, a mobile to-do list application for efficient task management.” The research employed a developmental research design and adopted the Waterfall Software Development Life Cycle (SDLC), which provided a structured approach consisting of requirement analysis, system design, implementation, and testing. The system was evaluated through researcher-conducted internal testing, with each functional requirement translated into test cases that documented inputs, expected outputs, actual outputs, and results. In the ten functional test cases executed, all of the test cases passed successfully. Findings revealed that all core features, including login authentication, add task, modify task, delete task, mark as complete task, view pending task, view completed task, view menu, email notification-task added, and email notification-task due date, were implemented and validated. The notification feature reliably delivered confirmation emails for task creation and reminder emails for due tasks, ensuring that users remain informed of their responsibilities. The non-functional usability, performance, availability, security, and scalability requirements were also satisfied, confirming that the application is intuitive, responsive, secure, and capable of handling multiple tasks without performance degradation. Overall, the results affirm that the MañanaList App effectively fulfills its objective of providing a reliable and user-friendly tool for task organization and productivity. Recommendations for future work include expanding notification options, integrating offline functionality, enabling task categorization and prioritization, and conducting large-scale usability testing with end-users.

Authors

Publication Details

Journal
International Journal of Research and Innovation in Social Science
Published
2025-01-01
DOI
https://doi.org/10.47772/ijriss.2025.909000215
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MañanaList App: A Mobile To-Do List Application for Efficient and Personalized Task Management

Ma. Magdalena V. Gatdula, Maylyn F. Torino, Meshelle N. Fabro, Chenaniah Keziah M. Pastrana
International Journal of Research and Innovation in Social Science
Scheduling and Optimization Algorithms
article

MañanaList App: A Mobile To-Do List Application for Efficient and Personalized Task Management

Ma. Magdalena V. Gatdula, Maylyn F. Torino, Meshelle N. Fabro, Chenaniah Keziah M. Pastrana
article en

Abstract

This study developed the MañanaList App, a mobile to-do list application for efficient task management.” The research employed a developmental research design and adopted the Waterfall Software Development Life Cycle (SDLC), which provided a structured approach consisting of requirement analysis, system design, implementation, and testing. The system was evaluated through researcher-conducted internal testing, with each functional requirement translated into test cases that documented inputs, expected outputs, actual outputs, and results. In the ten functional test cases executed, all of the test cases passed successfully. Findings revealed that all core features, including login authentication, add task, modify task, delete task, mark as complete task, view pending task, view completed task, view menu, email notification-task added, and email notification-task due date, were implemented and validated. The notification feature reliably delivered confirmation emails for task creation and reminder emails for due tasks, ensuring that users remain informed of their responsibilities. The non-functional usability, performance, availability, security, and scalability requirements were also satisfied, confirming that the application is intuitive, responsive, secure, and capable of handling multiple tasks without performance degradation. Overall, the results affirm that the MañanaList App effectively fulfills its objective of providing a reliable and user-friendly tool for task organization and productivity. Recommendations for future work include expanding notification options, integrating offline functionality, enabling task categorization and prioritization, and conducting large-scale usability testing with end-users.

International Journal of Research and Innovation in Social ScienceVol. IX(IX)
Openalex Percentile: Top 61%
Scheduling and Optimization Algorithms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.