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Optimizing Healthcare Service Efficiency Through Lean Healthcare and Root Cause Analysis: Meningkatkan Efisiensi Layanan Kesehatan Melalui Lean Healthcare dan Analisis Penyebab Utama Difa Nur Pratiwi; Sumiati Sumiati
Academia Open Vol. 10 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.11570

General Background: Healthcare service quality plays a crucial role in ensuring patient satisfaction and operational efficiency. However, primary healthcare centers in Indonesia often experience inefficiencies, particularly related to long waiting times. Specific Background: Puskesmas X recorded the highest outpatient visits with significant delays in the general clinic, indicating potential waste in its service process. Knowledge Gap: Despite numerous studies on lean implementation in hospitals, limited evidence exists regarding its systematic application in community health centers using integrated Lean Healthcare and Root Cause Analysis (RCA). Aims: This study aims to identify dominant waste factors in healthcare services and propose improvement strategies to enhance service efficiency. Results: Using Value Stream Mapping (VSM) and RCA, findings reveal that the total service time decreased from 5626 to 2583 seconds, with value-added activities increasing by 18.6% and non-value-added activities reduced by 27.2%. Novelty: The integration of Lean Healthcare with RCA provides a structured analytical model for identifying, prioritizing, and addressing waste in public health service settings. Implications: The proposed improvements—digital queue systems, process standardization, and staff training—demonstrate significant potential to improve patient flow efficiency and enhance service quality at primary care facilities. Highlights: Identifies dominant waste types and their root causes in healthcare services. Demonstrates efficiency improvement through Lean Healthcare and RCA integration. Proposes practical digital and procedural solutions to reduce waiting time. Keywords: Lean Healthcare, Root Cause Analysis, Waste Reduction, Service Efficiency, Primary Healthcare

Optimizing Warehouse Flow Through Lean Warehousing Method: Optimasi Aliran Gudang Melalui Metode Gudang Lean Raihana Azahra Rusadi; Sumiati Sumiati
Academia Open Vol. 10 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.11811

General Background: Efficient warehouse management is crucial for sustaining competitiveness in manufacturing industries, where operational inefficiencies often lead to waste and reduced productivity. Specific Background: PT XYZ, a corrugated box manufacturer in Lamongan, faces persistent inefficiencies in its finished goods warehouse due to wasteful practices such as excessive searching, waiting, and product defects. Knowledge Gap: Despite the widespread application of Lean principles, limited studies have focused on integrating Lean Warehousing to systematically identify and eliminate multiple types of waste within Indonesian corrugated box manufacturing contexts. Aims: This research aims to analyze and reduce warehouse waste at PT XYZ using the Lean Warehousing approach to improve process flow and operational efficiency. Results: Through Value Stream Mapping, Process Activity Mapping, and Fishbone analysis, three critical wastes were identified—searching, defect, and waiting—addressed via FIFO implementation, inspection scheduling, and digitalized planning. The Process Cycle Efficiency (PCE) improved from 64.56% to 83.92%, with significant reductions in non-value-added time. Novelty: This study demonstrates a structured Lean Warehousing framework tailored for local manufacturing, integrating process mapping and digital enhancement. Implications: The findings provide a practical reference for industries seeking measurable waste reduction and productivity optimization through lean-based warehouse management strategies. Highlights: Identified key warehouse wastes: searching, defect, and waiting. Implemented Lean improvements raised PCE from 64.56% to 83.92%. Proposed digitalized planning and FIFO methods for sustained efficiency. Keywords: Lean Warehousing, Waste Reduction, Process Efficiency, Value Stream Mapping, Warehouse Optimization

Six Main Priorities for Better Driving License Services: Enam Prioritas Utama untuk Peningkatan Layanan Surat Izin Mengemudi Husniyyah Husniyyah; Sumiati Sumiati
Academia Open Vol. 10 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.12165

(General Background) Public service quality is a fundamental aspect of building public trust in government institutions, particularly in administrative services such as the issuance of driving licenses (SIM) managed by SATPAS. (Specific Background) However, despite the government’s efforts, the public often perceives the service as inefficient, with long queues, inconsistent procedures, and unprofessional staff attitudes. (Knowledge Gap) Previous studies have not specifically identified which service attributes most influence customer satisfaction and how these can be systematically improved. (Aims) This study aims to evaluate the quality of SATPAS services using the Importance Performance Analysis (IPA) method and to formulate improvement strategies through the 5W+1H approach. (Results) The findings show an average satisfaction score of 3.29 and a conformity level of 83%, indicating a service quality gap. Six attributes were identified as main improvement priorities: service punctuality, speed, staff readiness, information clarity, cost transparency, and staff politeness. (Novelty) The integration of IPA and 5W+1H provides a structured and practical framework for prioritizing and implementing service improvements. (Implications) The proposed model can be applied in other public institutions to enhance accountability, efficiency, and citizen satisfaction in public service delivery. Highlights: Identifies six key priorities for improving SATPAS service quality. Combines IPA and 5W+1H methods for targeted service enhancement. Provides a practical framework to boost efficiency and public trust. Keywords: Service Quality, Importance Performance Analysis, 5W+1H, Public Service, Customer Satisfaction

Lagrange Multiplier Optimization for Frozen Whole Chicken Under Storage Limits : Poultry Slaughterhouse Case Study: Optimisasi Multiplier Lagrange untuk Ayam Utuh Beku dalam Batasan Penyimpanan: Studi Kasus Rumah Potong Unggas Tyara Ariella Farhana; Sumiati Sumiati
Academia Open Vol. 11 No. 1 (2026): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.11.2026.13693

General Background: Poultry slaughterhouses manage inventory of fresh and frozen chicken products to maintain supply continuity and cost efficiency. Specific Background: A poultry slaughterhouse in Sidoarjo experiences overstock in frozen whole chicken products across multiple size categories, exceeding warehouse capacity and increasing inventory costs. Knowledge Gap: Existing company practices do not adequately align production quantities with storage constraints and demand patterns, leading to inefficiencies in multi-item inventory management. Aims: This study aims to determine optimal production quantities of whole frozen chicken using Economic Production Quantity and Lagrange Multiplier methods to minimize total inventory cost under warehouse capacity constraints. Results: The proposed approach reduces total inventory cost from Rp28,644,888,779 to Rp20,019,529,574, achieving cost savings of Rp8,625,359,205 (30.11%) while ensuring required storage volume (120.73 m³) remains within capacity limits (181.8 m³). Forecast-based production planning for 2026 further yields a total cost of Rp16,091,881,801 with feasible storage requirements. Novelty: This study applies a combined EPQ and Lagrange Multiplier approach to a multi-item poultry inventory problem with explicit storage constraints. Implications: The findings provide a practical framework for optimizing production planning and inventory control in poultry processing industries to achieve cost minimization and capacity feasibility. Highlights: Overstock conditions exceed storage limits but are resolved through constrained optimization modeling. Cost reduction reaches 30.11% with adjusted production quantities across three product categories. Forecast-based planning yields feasible storage usage and lower total expenditure for the following year. Keywords: Inventory, Lagrange Multiplier, Optimization, Production

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