MARC details
| 000 -LEADER |
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| fixed length control field |
03447nam a22003257a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250717162841.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
250715b |||||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
TUPM |
| Language of cataloging |
English |
| Transcribing agency |
TUPM |
| Modifying agency |
TUPM |
| Description conventions |
rda |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
BTH QA 76 |
| Item number |
B37 2025 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Barbosa, Shanika Maureen D. |
| Relator term |
author |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Efficient job matching: |
| Remainder of title |
an automated system for credential evaluation and position recommendation using fuzzy logic/ |
| Statement of responsibility, etc. |
Shanika Maureen D. Barbosa, Jalen Andrei P. Fajardo, Jhon Philip H. Guiang, Jolo Czar Ken DV. Nario, and Emmanuel P. Ruiz Jr.-- |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Manila: |
| Name of publisher, distributor, etc. |
Technological University of the Philippines, |
| Date of publication, distribution, etc. |
2025. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
x, 111pages: |
| Dimensions |
29cm. |
| 336 ## - CONTENT TYPE |
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| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| 500 ## - GENERAL NOTE |
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| General note |
Bachelor's thesis<br/> |
| 502 ## - DISSERTATION NOTE |
|---|
| Dissertation note |
College Of Science.--<br/> |
| Degree type |
Bachelor of science in computer science:<br/> |
| Name of granting institution |
Technological University of the Philippines, <br/> |
| Year degree granted |
2025. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographic references and index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
The study developed an automated system for credential evaluation and position<br/>recommendation using the fuzzy logic algorithm to improve the recruitment process.<br/>Because it is often hard for applicants to know which job best fits their background, many<br/>end up applying to roles that do not match their skills or experience. With the help of<br/>technology, The researchers can now create a system that reads their curriculum vitae and<br/>suggests suitable positions, making the process easier not just for the applicants but also<br/>for the recruitment team. Applicants can upload their curriculum vitae, along with details<br/>like education, qualifications, skills, certifications, work experience, and supporting<br/>documents in PDF or DOCX format, directly into the system for evaluation. The system<br/>uses PyMuPDF to parse documents and extract text. It then processes the files to pull out<br/>key details from the applicant’s credentials, which are cross-checked against the data<br/>manually entered by the user for added accuracy. The system uses Semantic Similarity<br/>(NLP) to assess the compatibility between the requirements of the job and the<br/>qualifications of the applicant for the chosen job listing. After the assessment, it<br/>organizes the information of the applicant into recognizable categories and computes the<br/>suitability score. To evaluate the applicant’s compatibility with the chosen job, the score<br/>is analyzed using fuzzy logic. It then suggests job opportunities that correspond with the<br/>applicant’s profile, based on the field or specialization. The system is developed using<br/>web technologies, including Next.js (React) for both front-end and back-end<br/>development, Node.js as the runtime environment, PostgreSQL for database<br/>management, Flask for API handling, and AWS S3 bucket for cloud based file storage.<br/>The system’s functionality and reliability were tested following the ISO 25010 for<br/>Software Quality Standards. The result showed that the System is functional and usable,<br/>with an overall weighted mean of 4.10 or a “Highly Acceptable” rating from the twenty<br/>six (26) respondents. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Credential evaluation |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Job recommendation |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Fuzzy logic |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Fajardo, Jalen Andrei P. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Guiang, Jhon Philip H. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Nario, Jolo Czar Ken DV. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Ruiz Jr, Emmanuel P. |
| Relator term |
author |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Bachelor's Thesis COS |
| Suppress in OPAC |
No |