Formulating LGU compliance metrics based on COA-DBM JC no. 2, S. 2020 using ai-powered lean six sigma methodology / (Record no. 32973)

MARC details
000 -LEADER
fixed length control field 03300nam a2200301 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field CSPC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260818105520.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 260818s2025 ph a b 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency CSPC
Language of cataloging eng
Transcribing agency CSPC
Description conventions rda
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) UTH BPA R332f 2025
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Refugio, Ayen Alliah Kim P.,
Relator term author.
245 10 - TITLE STATEMENT
Title Formulating LGU compliance metrics based on COA-DBM JC no. 2, S. 2020 using ai-powered lean six sigma methodology /
Statement of responsibility, etc. Ayen Alliah Kim P. Refugio, Roselyn S. Benipayo, and Lodelene N. Habana.
300 ## - PHYSICAL DESCRIPTION
Extent 200 leaves.
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
502 ## - DISSERTATION NOTE
Dissertation note Undergraduate Theses (BPA) - Public Administration.
Name of granting institution Camarines Sur Polytechnic Colleges, 2025
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographic references.
520 3# - SUMMARY, ETC.
Summary, etc. The COA-DBM Joint Circular No. 2, s. 2020 outlines rules and regulations for hiring and management of Job Order and Contract of Service workers. Despite these provisions, numerous government agencies continue to assign JO and COS workers to perform technical and administrative tasks, resulting in excessive flexibility without clear paths to regularization. Due to the absence of measurable tools to evaluate compliance with the circular, this study aimed to develop compliance metrics in local government units using Lean Six Sigma methodology. Using a descriptive-developmental multiphase design, purposive sampling was employed to select JO and COS workers using selection criteria. Data collection was conducted through semi-structured interviews. Thematic Analysis was applied to contextualize participants’ lived experiences, and four key themes emerged. To further identify recurring patterns, Latent Dirichlet Allocation (LDA) was utilized, which revealed two prominent topic clusters. Findings revealed the prevalence of political patronage in securing plantilla positions, the dependence of LGUs on JO and COS workers for service delivery, and the inequitable working conditions they often face. The study also highlighted striving to attain plantilla positions. These themes were then used to construct 50 rule-based simulated scenarios as the training dataset for a Naïve Bayes model, referred to as the R-B-H Classifier. Model performance was assessed using a confusion xvii matrix, resulting in an F1 score of 84.21%. Each prediction from the classifier included the highest probability and a corresponding standard error, derived from the estimated variance of predicted probabilities. The study concludes by recommending improvement to the classifier and proposes pilot testing with actual audit data to establish external validity and operational reliability. This study illustrates how local- language interview data can be transformed into probability-based compliance tools that provides a foundation for AI-assisted governance monitoring in public sector compliance frameworks.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Benipayo, Roselyn S.,
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Habana, Lodelene N.,
Relator term author.
720 ## - ADDED ENTRY--UNCONTROLLED NAME
Name Magistrado, Jeffrey B.,
Relator term adviser.
720 ## - ADDED ENTRY--UNCONTROLLED NAME
Name Barcinilla, Ejay F.,
Relator term chair, panelist.
720 ## - ADDED ENTRY--UNCONTROLLED NAME
Name Bardaje, Jo Vincent T.,
Relator term panelist.
720 ## - ADDED ENTRY--UNCONTROLLED NAME
Name Adriano, Renato III, A.,
Relator term panelist.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Suppress in OPAC No
Koha item type Unpublished Materials
Classification part R332f
Item part BPA
Call number prefix UTH
Call number suffix 2025
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification     Main Library Main Library Undergraduate Thesis Section 08/18/2026   UTH BPA R332f 2025 007430UM 08/18/2026 1-1 08/18/2026 Unpublished Materials