| 000 -LEADER |
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02206nam a22002417a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
ft8778 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251111103728.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
251111b ||||| |||| 00| 0 eng d |
| 041 ## - LANGUAGE CODE |
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| Language code of text/sound track or separate title |
engtag |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
T58.6 C34 2025 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
. |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Cagsawa, Raven Lorenz D.; Pinauin, Andrei Pocholo A. |
| 245 ## - TITLE STATEMENT |
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| Title |
Optimizing 4Ps beneficiary identification: A web-based analysis using forecasting and multiple linear regression to improve socioeconomic outcomes |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Place of production, publication, distribution, manufacture |
. |
| Name of producer, publisher, distributor, manufacturer |
. |
| Date of production, publication, distribution, manufacture, or copyright notice |
c2025 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Other physical details |
Capstone Project: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2025 |
| 336 ## - CONTENT TYPE |
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| Source |
text |
| Content type term |
text |
| Content type code |
text |
| 337 ## - MEDIA TYPE |
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unmediated |
| Media type term |
unmediated |
| Media type code |
unmediated |
| 338 ## - CARRIER TYPE |
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volume |
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volume |
| Carrier type code |
volume |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
ABSTRACT: The limited application of advanced analytics in social welfare programs hinders effective beneficiary identification and reduces the potential for optimizing socioeconomic outcomes. Addressing this gap, our paper introduces a web-based application designed to enhance the Pantawid Pamilyang Pilipino Program (4Ps) by utilizing multiple regression and forecasting techniques to improve decision-making in identifying program beneficiaries. By analyzing key socioeconomic data, the application generates actionable insights that support program administrators and policymakers, enabling more accurate, data-driven decisions. The application features a user-friendly interface that allows clients and stakeholders to easily navigate the system and access essential information. It is designed to be robust, efficient, and adaptable to user needs, supporting consistent and reliable performance. The findings suggest that this tool not only streamlines beneficiary identification but also offers a scalable solution for broader implementation in social welfare programs. Future recommendations include the integration of more advanced analytics, improved data visualization for enhanced interpretability, and greater scalability to accommodate a growing user base and large datasets-----ensuring the system’s long-term viability in socioeconomic planning initiatives. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
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| Classification |
Filipiniana |
| 655 ## - INDEX TERM--GENRE/FORM |
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| Genre/form data or focus term |
academic writing |
| 942 ## - ADDED ENTRY ELEMENTS |
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| Source of classification or shelving scheme |
|
| Item type |
Thesis/Dissertation |