Page 46 - POSTER FYP MAC-OGOS 2025

MEASURING EFFICIENCY OF WATER SUPPLY SYSTEM K242/47
FOR STATES IN MALAYSIA USING DATA ENVELOPMENT
ANALYSIS (DEA-CCR) AND EFFICIENCY SCORING WITH
WEIGHTED OUTPUT OR INPUT INDEX
Name: Nur Ain Syafiqah Binti 03 Objectives
Mohd Fazli To measure the performance of Malaysia’s
Supervisor: Wan Faizah Binti Wan 02 Problem Statement water supply system are operating using
Yaacob Water supply systems in Malaysia often need to DEA CCR Method.
face significant challenges in maintaining the To determine efficiency of water supply
01 Abstract operational efficiency while meeting the increasing system in Malaysia using Efficiency Scoring

This study investigates the efficiency of water demand for clean water. The old traditional with Weighted Output or Input Index.
supply systems for states in Malaysia using Data performance evaluation methods often fail to To compare the ranking between water
Envelopment Analysis (DEA-CCR) and efficiency capture the various nature of water management. supply systems in Malaysia based on their
scoring with weighted input or output index. The This study aims to use Data Envelopment Analysis efficiency using Spearman Correlation Test.
goal is to evaluate how well each state transforms (DEA), a non-parametric efficiency measurement
limited resources like number of employees and tool used to evaluate and compare the efficiency of 1. DEA-CCR Method (Output-Oriented)
pipe length (km) into outputs such as water water supply systems across Malaysian states. The
consumption (MLD) and the number of people results will enable management team to make
served (Population). The study utilizes secondary data-driven decisions for improving water supply
data from SPAN Water and Sewerage Industry Fact system efficiency while ensuring sustainable and
Book 2023. Additionally, a Spearman’s Rank equitable access to water for all Malaysians.
Correlation Test is applied to compare rankings 05 Implementation
from both methods. This study concludes that DEA
is a useful tool for benchmarking and recommends 1. DEA-CCR Method (Output-Oriented)
further research with larger datasets and multiple-
year observations for more robust analysis.
2. Effciency Scoring with Weighted Output or Input
Index
04 Methodology

2. Effciency Scoring with Weighted Output or Input
Index

3. Spearman’s Rank Correlation Test

3. Spearman’s Rank Correlation Test
FINAL RANKING ON EFFICIENCY SCORE

06 Results & Discussion

07 Conclusion
Input & Output Selection (Source: SPAN Fact Book 2023)
This research contributes valuable insights by offering
a data-driven foundation for resource optimization
and policy refinement. It demonstrates the usefulness
of DEA and related methods in evaluating public
service efficiency and calls for expanded data
transparency, more granular analysis, and targeted
interventions to support underperforming regions.
08 Recommendation

It is recommended that state with lower efficiency
scores be given targeted support through knowledge
sharing, technical assistance, or policy interventions.
Adopting best practices from higher-performing
states like Selangor and Johor could help streamline
operations, optimize resource use, and improve
overall service delivery in underperforming regions.