Analysis of Waste in Traffic Services on The Surabaya-Gesik Toll Road for Optimization with Lean Service Method at PT Margabumi Matraraya

PT Margabumi Matraraya is a company engaged in the management and operation of the Surabaya-Gresik toll road. This company is responsible for ensuring that the toll road operations run smoothly in accordance with the established service standards. However, in the toll road traffic service process, inefficiencies are still found, such as long customer waiting times, miscommunication, repeated reporting, inefficient routes, less than optimal workforce performance, and excessive service. This study aims to apply the lean service concept to improve efficiency in the toll road service process and provide recommendations for improvements to reduce waste. The methods used include Value Stream Mapping (VSM), Value Stream Analysis Tools (VALSAT), and Root Cause Analysis (RCA). The results of the analysis using VSM showed that the initial service lead time was 265 minutes with non-value-added activities of 5.96%. After the implementation of the improvement recommendations, non-value-added activities were eliminated, so that the lead time was reduced to 228.2 minutes, or equivalent to a time reduction of 13.89%. The proposed improvement recommendations are optimization of communication systems, application of GPS technology for real-time location monitoring, and improvement of training for officers to maximize human resource potential.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-05-01
Primary Topic
Magnetic confinement fusion research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Waste in Traffic Services on The Surabaya-Gesik Toll Road for Optimization with Lean Service Method at PT Margabumi Matraraya

SHILAP Revista de lepidopterología
Magnetic confinement fusion research
article

Analysis of Waste in Traffic Services on The Surabaya-Gesik Toll Road for Optimization with Lean Service Method at PT Margabumi Matraraya

article en

Abstract

PT Margabumi Matraraya is a company engaged in the management and operation of the Surabaya-Gresik toll road. This company is responsible for ensuring that the toll road operations run smoothly in accordance with the established service standards. However, in the toll road traffic service process, inefficiencies are still found, such as long customer waiting times, miscommunication, repeated reporting, inefficient routes, less than optimal workforce performance, and excessive service. This study aims to apply the lean service concept to improve efficiency in the toll road service process and provide recommendations for improvements to reduce waste. The methods used include Value Stream Mapping (VSM), Value Stream Analysis Tools (VALSAT), and Root Cause Analysis (RCA). The results of the analysis using VSM showed that the initial service lead time was 265 minutes with non-value-added activities of 5.96%. After the implementation of the improvement recommendations, non-value-added activities were eliminated, so that the lead time was reduced to 228.2 minutes, or equivalent to a time reduction of 13.89%. The proposed improvement recommendations are optimization of communication systems, application of GPS technology for real-time location monitoring, and improvement of training for officers to maximize human resource potential.

SHILAP Revista de lepidopterología
University of Pembangunan Nasional Veteran Jawa Timur (ID)
Openalex Percentile: Top 73%
Magnetic confinement fusion research
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.