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Implementation of the Analytic Hierarchy Process (AHP) to Determine Key Performance Indicator (KPI) Weights for Steam Turbine Power Plant Using Python Akbar Anggriawan; Nazaruddin Nazaruddin; Anita Susilawati
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 70 No 1 (2026): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v70i1.582

Abstract

The optimization of Key Performance Indicators (KPIs) in steam turbine power plants is crucial for enhancing operational efficiency in the palm oil processing industry. This study applies the Analytic Hierarchy Process (AHP) to determine the relative weights of KPIs, thereby supporting data-driven decision making for performance improvement. Four critical KPIs were evaluated through pairwise comparisons expertise. A Python based computational model was developed to automate AHP calculations, ensuring accuracy and efficiency in deriving priority weights. This study reveals power output (47.16%) is the most significant KPI, followed by availability factor (38.58%), steam consumption (9.69%), and capacity factor (4.58%). The consistency ratio (CR) for all expert judgments was below 0.10, validating the reliability of the AHP outcomes. This research demonstrates that integrating AHP with Python programming provides a robust framework for KPI prioritization. The findings offer practical insights for industry stakeholders to optimize steam turbine performance and reduce operational inefficiencies.
Design for Manufacture and Assembly (DFMA) Analysis of a Finger Protection Device for Safer Household Nail Hammering Akbar Anggriawan; Dodi Sofyan Arief; Anita Susilawati
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 70 No 2 (2026): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v70i2.637

Abstract

This study evaluates a finger protection device for safer household nail-hammering using the Design for Manufacture and Assembly (DFMA) method. The device was developed as a personal protective device to reduce the risk of finger injuries caused by accidental hammer impacts and unstable nail positioning. The methodology comprised problem identification, literature review, Computer-Aided Design (CAD), manufacturing process analysis, and DFMA-based assembly evaluation using the Boothroyd-Dewhurst method. The device consists of five main components: Finger Protector 1, Finger Protector 2, Shaft, Holder 1, and Holder 2. Manufacturing processes included turning and drilling operations. The results show that the total manufacturing and assembly time was 2,983.33 s for stainless steel and 3,048.33 s for carbon steel, while the assembly time was 24.33 s with a design efficiency of 62%. Structural simulation using the von Mises criterion resulted in a maximum equivalent stress of 2.5 MPa and a safety factor of at least 15 for both materials. The safety factor was evaluated by comparing the material strength limit with the maximum equivalent stress under the applied loading condition, with a safety factor greater than unity indicating that the calculated stress remains below the selected material strength limit. These results indicate that the proposed device provides adequate structural strength, which maintaining effective manufacturing and assembly characteristics for household nail hammering applications.