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All Journal Jurnal Teknik Industri J@TI (TEKNIK INDUSTRI) Proceeding SENDI_U Jurnal Ilmiah Universitas Batanghari Jambi Syntax Literate: Jurnal Ilmiah Indonesia International Journal of Industrial Optimization (IJIO) Jurnal Impresi Indonesia Jurnal Locus Penelitian dan Pengabdian Journal Research of Social Science, Economics, and Management GMPI Conference Series Sewagati
Erwin Widodo
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Physics Public Health Social Sciences Other

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The Effect of Internet of Things (IoT) Implementation on Customer Satisfaction on the PLN Mobile Application Syaiful Rachman, Afif; Widodo, Erwin
Jurnal Impresi Indonesia Vol. 4 No. 9 (2025): Indonesian Impression Journal (JII)
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v4i9.6912

Abstract

PT PLN (Persero), as the main electricity provider in Indonesia, faces challenges in improving service quality and customer satisfaction in the digital era. The implementation of the Internet of Things (IoT) through the PLN Mobile application, which offers features such as smart meters and real-time consumption monitoring, represents a service transformation strategy. This research aims to analyze the impact of Internet of Things (IoT) implementation on customer satisfaction within the PLN Mobile application. IoT has transformed the energy sector through technologies such as smart meters and real-time electricity monitoring. These features enable customers to manage their billing, receive energy usage notifications, and report outages more efficiently. A quantitative approach was employed using an online survey targeting PLN Mobile users. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate a positive and significant influence of IoT implementation on customer satisfaction. The path coefficient was 0.809, with a t-statistic of 17.001 and a p-value of 0.000. This suggests that the more effectively IoT-based features are utilized—such as real-time monitoring and energy control—the higher the level of customer satisfaction. The findings offer valuable insights for PLN to enhance its IoT capabilities as a strategy to improve service quality and foster long-term customer loyalty.  
Development of Risk Assessment in Electricity Distribution Based on Green Supply Chain Operational Reference (GREEN SCOR) Indraswari, Pramesti Sri; Widodo, Erwin
Journal Research of Social Science, Economics, and Management Vol. 4 No. 11 (2025): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v4i11.890

Abstract

Sustainability, particularly in green supply chains, has become a global priority. Operational decisions that prioritize environmental concerns significantly affect a company's risk profile, making risk management in green supply chains crucial for operational sustainability and regulatory compliance. To align with the Net Zero Emissions (NZE) 2060 vision, electricity distribution must adopt risk assessment practices based on the Green Supply Chain Operations Reference (Green SCOR) framework. This framework incorporates environmental considerations into each business process. Using the House of Risk (HOR) method, risk agents and responses are identified and mapped, with risk impact assessed by experts. The HOR method ranks risks in two phases: Phase 1 calculates the Aggregate Risk Potential (ARP) based on the relationship between risk agents and events, and Phase 2 ranks them from highest to lowest. The risk assessment suggests mitigation strategies in line with Green SCOR, such as adopting green industry standards with suppliers and ensuring flexible contracts. Some risks, however, still require existing responses, like compliance with local content requirements (TKDN) and transitioning to electric vehicles. This process selects risk mitigation strategies based on available resources and organizational capability.
Decision Analysis for Selecting Steam Boiler Units in the Detergent Manufacturing Industry Using the Delphi, DEMATEL, and ANP Methods (Case Study: PT. XYZ) Samantha, Hendra Rahadian; Widodo, Erwin
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i8.61048

Abstract

Boilers are vital components in the manufacturing industry because they give the heat energy required for industrial processes. The main boiler unit at PT. XYZ has been in use for over 42 years and is exhibiting decreased efficiency as well as increased safety risks. To address these issues, the company plans to upgrade the existing system with a new boiler with a larger capacity. The selection of boiler units has traditionally been guided solely by the lowest price, without consideration for energy efficiency, safety, environmental concerns, or technological needs all of which can significantly increase operating costs and production interruption risks. This study uses a Multi Criteria Decision Making (MCDM) approach to develop an objective and data driven decision making framework using the Delphi technique, Decision Making Trial and Evaluation Laboratory (DEMATEL), and the Analytic Network Process (ANP). The most significant sub criteria in boiler selection are Boiler Efficiency at 100% Load Specific Energy, which has a weight of 11,83%, followed by Initial Investment Cost (10,84%) and Boiler Safety Control System (10, 13%). The Yuanda Boiler was given the greatest priority weight of 0,349374 among the four evaluated options and is therefore recommended as the best choice, followed by the Miura Boiler (0,319063), the Erensen Boiler (0,196042), and the Omnical Boiler (0,13552). The model established in this work offers a clear and comprehensive decisionmaking framework that can help management choose the best boiler investment that is both energy efficient and sustainable.
Co-Authors A.A. Ketut Agung Cahyawan W Amrizal, Rizki Anisa Dzulkarnain Arman Hakim Nasution Bandono, Adi Berlian Rahmy Lidiawaty Boon Cheong Chew, Boon Cheong Dody Hartanto Erma Suryani Fadlillah, Muhammad Syamil Hendro Nurhadi Indraswari, Pramesti Sri Isabella, Putri Dwi Kukuh, April Kusuma, Moch. Farrel Arrizal Maria Anityasari Nur Rahmawati Nurahman, Aditya Nurhadi Siswanto Pramundito, Rahmatika Jagad Priambodo, Tegar Ganang Satrio Prihatina, Ocha Putri Perdana Raulia Riski Rochmadhan, Oryza Akbar Salsabila, Nabila Yuraisyah Samantha, Hendra Rahadian Setiawan, Gede Wisnu Sihabuddin, Nurul Sjamsjul Anam Suharyo, Okol Sri Syaiful Rachman, Afif Tunggadewa, Ken Caesar Balawan