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All Journal Mechanical Engineering for Society and Industry Jurnal Indonesia Sosial Teknologi Journal Research of Social Science, Economics, and Management Eduvest - Journal of Universal Studies
Ratna Sari Dewi
Institut Teknologi Sepuluh Nopember, Indonesia
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Neuroscience Social Sciences Transportation

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Prioritizing SCADA Integration at Keypoints Using Fuzzy AHP and TOPSIS Methods: A Case Study in PLN UP2D Makassar Arief Nurhidayanto; Ratna Sari Dewi
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 5 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i5.1052

Abstract

PLN UP2D Makassar regulates the 20 kV electrical distribution network in South Sulawesi, Southeast Sulawesi, and West Sulawesi. PLN UP2D Makassar holds a management contract, which is SCADA integration. Based on the Network Database Book, in 2023, there were 128 key points (LBS and reclosers) that were not yet integrated with SCADA or not online with the Master SCADA. The current issue identified in making decisions on SCADA integration to critical points in PLN UP2D Makassar is using the crucial point ratio Value per PLN UP3 criteria. The weakness of this method is that SCADA integration at key points does not consider the benefits and impacts of SCADA integration, such as the improvement of SAIDI and ENS. This study aims to create guidelines for decision-making on SCADA integration at critical points. This research involves five experts in PLN UP2D Makassar. A total of 6 criteria were established and processed using the Fuzzy AHP TOPSIS method to rank the 128 key points that will be integrated with SCADA. The Fuzzy AHP TOPSIS calculation results have been validated with a consistency ratio of -0.008 (consistent) and sensitivity analysis (10% increase/decrease in criteria weight). This means that the proposed six criteria can be used to rank alternative vital points that will be integrated with SCADA.
Identifying and evaluating sustainability risks in circular business models: Empirical insights from the heavy equipment manufacturing industry Yudi Syahrullah; Udisubakti Ciptomulyono; Ratna Sari Dewi
Mechanical Engineering for Society and Industry Vol. 6 No. 1 (2026)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/mesi.15120

Abstract

Circular business models (CBMs) are increasingly being adopted in heavy equipment manufacturing to extend the value of end-of-life (EoL) components through recovery practices. However, existing sustainability risk assessments largely rely on generic literature-based risk lists without verifying their contextual relevance to specific industries. This study addresses this gap by systematically exploring and validating sustainability risks that are specifically relevant to circular manufacturing in the heavy equipment sector. An initial set of 32 sustainability risks was identified through literature review and cross-industry exploration. These sustainability risks were then evaluated using the Fuzzy Delphi Method (FDM) to manage uncertainty and establish expert consensus on their relevance to circular business models in the heavy equipment manufacturing sector. Based on the consensus criteria (d < 0.2; agreement ≥ 75%), 14 risks were validated as contextually relevant. The findings reveal that the most critical risks are concentrated in key circular activities, particularly those related to occupational health and safety hazards in EoL component recovery, and inaccurate or insufficient evaluation of the quality of components or products to be recovered. The main contribution of this study lies in moving beyond generic sustainability risk identification toward context-specific validation of sustainability risks in circular manufacturing. By filtering and confirming sustainability risks that truly reflect industrial realities, the results provide a robust foundation for targeted sustainability risk assessment and mitigation. Practically, the validated sustainability risk set provides decision-makers and engineers with a more precise basis for prioritizing sustainability risks and enhancing the resilience of circular manufacturing systems.
Visual Management Design in Business Processes for Power Transformer Factories Using Virtual Obeya Dony kurniawan; Ratna Sari Dewi
Eduvest - Journal of Universal Studies Vol. 6 No. 3 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i3.52862

Abstract

Power transformer factories are an Engineering to Order (ETO) industry where the products produced have small volume characteristics but many variants. This is due to the need for a power transformer that adjusts to the needs of the customer's electrical system so that each transformer is designed custom. This business process requires a very massive and rapid exchange of information. It is necessary to have a platform to make the distribution of information structured. Currently, Physical Obeya is implemented using a large space and a board containing important data that can be viewed by all cross-functional teams. However, this board still has some drawbacks to accessibility that require a physical presence and a complicated update process. So, virtualization on Physical Obeya was carried out. Virtualization is done by gathering several inputs from cross-functional teams and mapping them into a Value Proposition Canvas to identify the goals and advantages and disadvantages of Physical Obedience that has been carried out so far. Then, the design of virtualization in Physical Obeya is carried out by understanding the business processes in the company to identify what are the process checkpoints in a project into a database, and visualized in a way that takes into account human factors and cognitive ergonomics. Thus, virtual platforms can focus on users. Based on the results of these tests, the platform can be put to good use according to the previously identified objectives.
Risk Analysis Of Occupational Safety And Health In Core Wall Construction Work At A Communication Tower Project Kadek Kristina Fajar Laksmi; Ratna Sari Dewi
Journal Research of Social Science, Economics, and Management Vol. 5 No. 1 (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.v5i1.1003

Abstract

This study aims to analyze Occupational Health and Safety (OHS) risks in the core wall construction work of the Communication Tower Project, which has reached 70% progress. Over 80% of the work is carried out by vendors and subcontractors, presenting challenges in coordination and standardization of OHS practices. The methods employed include Job Safety Analysis (JSA), Hazard Identification, Risk Assessment, and Determining Control (HIRADC), Analytical Hierarchy Process (AHP), and Cost-Benefit Analysis (CBA). Data were collected through field observations, questionnaires, and interviews with fifteen respondents ranging from field workers to project managers. The results show that the highest-risk activities are climbing formwork and reforming roof, both classified as high-risk. AHP was used to prioritize mitigation actions based on three criteria: severity, likelihood, and cost, with severity identified as the most dominant factor. CBA indicated that despite the relatively high mitigation costs, the proposed controls are effective in significantly reducing risk exposure, especially for activities at height and heavy equipment operation. The integration of these four methods provides a mitigation strategy that is data-driven, cost-efficient, and applicable to large-scale and complex construction projects.
Impact Analysis of Incentive Scheme for Dump Truck Driver to Reduce Overspeeding at Oil and Gas Company Rangga Budi Aditya; Ratna Sari Dewi
Journal Research of Social Science, Economics, and Management Vol. 5 No. 2 (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.v5i2.1080

Abstract

The phenomenon of overspeeding in transportation equipment is commonly encountered in daily life. This also frequently occurs in industries involving long-distance travel using transportation or heavy equipment, such as in the mining industry, where dump trucks are widely used. This study focuses on a case in the oil and gas industry. The research adopts a quantitative approach using linear regression analysis to identify the relationship between average daily incentives and the percentage of overspeeding, chi-square test to examine the association between types of incentive schemes and overspeeding categories, and t-test to compare the average incentives between drivers who commit overspeeding violations and those who do not. The data were obtained from the Integrated Journey Management System (IJMS), covering 1,087 dump trucks over a six-month period. The results indicate a positive relationship between incentive amounts and overspeeding levels. Incentive schemes based on trip productivity tend to increase the risk of speed violations compared to distance-based schemes. These findings have important implications for companies and contractors in designing incentive policies that not only consider productivity but also driver safety. Integrating safety indicators into the incentive structure is key to building a safe and sustainable internal transportation system in the oil and gas industry.
Co-Authors Arief Nurhidayanto Dony kurniawan Kadek Kristina Fajar Laksmi Rangga Budi Aditya Udisubakti Ciptomulyono Yudi Syahrullah