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All Journal Interdisciplinary Social Studies Journal of Electrical Engineering and Informatics (JEEI)
Muhammad Wahyu Fauzi
Universitas Islam Indonesia
Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences

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Integrated Lean Management - Resilience Engineering Approach For Supply Chain Performance Improvement Muhammad Wahyu Fauzi; Taufiq Immawan
Interdisciplinary Social Studies Vol. 4 No. 4 (2025): Interdisciplinary Social Studies
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/iss.v4i5.946

Abstract

n the era of globalization and increasingly fierce competition, companies face complex challenges in managing supply chains that are both efficient and resilient to unexpected disruptions. Lean management approaches that focus on waste elimination can create vulnerabilities, while resilience engineering offers system robustness but potentially reduces efficiency. Purpose: This research aims to analyze the implementation of integrated lean management and resilience engineering approaches to improve supply chain performance holistically. Methods: The research employed a mixed methods approach with a before-after comparison study design conducted over 12 months in a manufacturing company. The research sample involved 16 respondents from various organizational hierarchy levels consisting of directors, managers, supervisors, and operational staff from five supply chain divisions (sales, procurement, production, warehouse, logistics). Results: The integrated implementation showed significant improvements across all divisions. The sales division experienced 39.7% sales growth, the production division achieved 117% productivity improvement with 54% lead time reduction, the warehouse division increased capacity by up to 1,400%, while the logistics division successfully minimized customer complaints and optimized operational costs. Overall, organizational performance improved from "Needs Improvement" category (195.12 points/39%) to "Adequate" category (343.56 points/69%). Conclusion: The integration of lean management and resilience engineering proved effective in improving supply chain performance through simultaneous optimization of operational efficiency and system resilience strengthening, creating a supply chain that is not only lean but also resilient.
An IoT-Enabled Monitoring System for Real-Time Water Quality Management in Catfish Aquaculture Bayu Arif Ramadhan; Muhammad Wahyu Fauzi; Sekar Kinasih
Journal of Electrical Engineering and Informatics (JEEI) Vol. 1 No. 1 (2026): FEBRUARY (I)
Publisher : LPPM Sekolah Tinggi Teknologi Nusantara Lampung

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Abstract

Water quality management is a critical factor in determining the productivity and sustainability of catfish (Clarias sp.) aquaculture. Conventional monitoring practices are generally manual, periodic, and inefficient, limiting farmers’ ability to respond promptly to environmental changes. This study presents the design and implementation of an Internet of Things (IoT)–based water quality monitoring system for catfish ponds using an ESP8266 microcontroller, a type-K thermocouple temperature sensor, and an SEN0161 pH sensor. The proposed system enables real-time monitoring of water temperature and pH, wireless data transmission to an online database, and continuous visualization through a web-based interface. System performance was evaluated in three pond environments indoor, semi-outdoor, and outdoor during a six-hour observation period, yielding a total of 1,012 measurement data points. The results indicate that the recorded water temperature and pH values generally fall within the recommended ranges for catfish aquaculture, demonstrating stable monitoring performance across different environmental conditions. Linear regression analysis further confirms the consistency of temperature and pH trends during the monitoring period. The findings show that the developed system is capable of providing reliable real-time water quality information and can support data-driven pond management while reducing dependence on manual measurements. Despite its effectiveness, the system’s performance is influenced by internet connectivity and is currently limited to temperature and pH parameters. Future work may focus on extending monitoring duration, improving communication reliability, and integrating additional water quality indicators to enhance system comprehensiveness.
Co-Authors Bayu Arif Ramadhan Sekar Kinasih Taufiq Immawan, Taufiq