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All Journal JOURNAL OF APPLIED BUSINESS ADMINISTRATION
Wiwik Handayani
Universitas Pembangunan Nasional Veteran, Jawa Timur, Indonesia
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Optimizing Powertrain Disassembly Efficiency via Machine Learning -Based Lean Six Sigma at PT. TU Surabaya Branch Ditto Nadendra; Wiwik Handayani
Journal of Applied Business Administration Vol 9 No 2 (2025): Journal of Applied Business Administration
Publisher : Pusat P2M Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaba.10209

Abstract

Operational efficiency is vital in mining and construction, were equipment availability drives productivity. This study assesses reconditioning effectiveness for Powertrain components at PT. TU Surabaya, focusing on the Disassembly stage the primary bottleneck in the maintenance cycle. Lean Six Sigma is applied using the DMAIC (Define, Measure, Analyze, Improve, Control) framework to identify, measure, and regulate service duration factors. Machine Learning, via Decision Tree Regression in KNIME, analyzes historical data to predict optimal Disassembly timeframes. Efficiency improvement is implemented using the 5S method, while a Decision Matrix prioritizes solutions to enhance overall system performance. Results from initial implementation show a reduction in average process duration from 26.37 days to 15.33 days. Predictive analysis also reflects an increase in Process Cycle Efficiency (PCE) from 46.49% to 53.20%. These findings affirm the effectiveness of a structured, data-driven operational strategy that combines Lean Six Sigma and predictive analytics to resolve service bottlenecks and improve industrial process outcomes.
Economic study of corn cob biomass as a boiler fuel substitution at PT XYZ in the animal feed industry Muhammad Dafa Alisharsa; Wiwik Handayani
Journal of Applied Business Administration Vol 10 No 1 (2026): Journal of Applied Business Administration
Publisher : Pusat P2M Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaba.11055

Abstract

The use of biomass fuels such as palm kernel shells and candlenut shells has been implemented by the animal feed industry, but its energy consumption is still relatively high. This study aims to evaluate the feasibility of corn cobs as an alternative boiler fuel in reducing production costs. The method used is a quantitative descriptive approach with simulations through RETScreen software. The results show that the use of corn cobs combined with candlenut shells can produce energy savings, improve the economic value of the project NPV of 169,136 USD when converted to rupiah is obtained at Rp 2,748,460,000, IRR of 90,7%, payback period of 0.98 years (11 months), while the use of corn cobs combined with palm kernel shells produces NPV of 187,344 USD when converted to IDR is Rp 3,044,340,000, IRR of 105% and payback period of 1 year.
Co-Authors Ditto Nadendra Muhammad Dafa Alisharsa