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All Journal Engineering Science Letter Journal of Novel Engineering Science and Technology Journal of Organizational and Human Resource Development Strategies
Roland Y.H. Silitonga
Institut Teknologi Harapan Bangsa
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Journal : engineering science letter

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Analysis of Factors Affecting ERP Implementation Performance Using the Analytical Hierarchy Process (AHP): A Case Study at PT Multi Makmur Investama (Multives) Tangerang Roland Y.H. Silitonga; Alem Wandira Sembiring
Engineering Science Letter Vol. 4 No. 03 (2025): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.esl.001198

Abstract

The Indonesian packaging industry faces mounting pressure to align enterprise systems with evolving strategic and operational demands. This study investigates the performance of a mature Enterprise Resource Planning (ERP) system at PT Multi Makmur Investama (Multives), leveraging the Critical Success Factors (CSF) framework and Analytic Hierarchy Process (AHP) to identify and prioritize key determinants of ERP success. Ten CSFs were evaluated through expert pairwise comparisons and cross-validated via a perception survey of 51 ERP users. Results reveal ERP system quality (18.16%), top management support (14.19%), and user training (10.79%) as the most influential drivers. However, notable discrepancies emerged between expert prioritization and user satisfaction particularly in vendor support and training indicating underlying misalignments in long-term ERP usage. The study contributes a dual-layered evaluation model combining structured expert judgment and user-based validation, offering actionable insights for ERP optimization in emerging market contexts and extending theoretical discourse on ERP maturity evaluation.
Sustainable Inventory Optimization: A Multi-Item EOQ Model with All-Unit Discount, Capacity Constraint, and Carbon Emission Roland Y.H. Silitonga; Heavie Zipora Setiawan
Engineering Science Letter Vol. 5 No. 02 (2026): In Press - Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.esl.002319

Abstract

Inventory is one of the operational components that contributes to carbon emissions through warehouse electricity consumption; however, this aspect has not yet been integrated into conventional inventory models, despite growing attention to green supply chain management. This study develops a multi-item Economic Order Quantity model that considers all-unit discounts, warehouse capacity constraints, and carbon emissions as cost components and examines the effect of carbon emission variables on the mathematical model structure. The development was carried out by adding a carbon cost variable, calculated as the product of average warehouse energy consumption, the carbon emission factor, and the carbon tax, to the storage cost equation and the formula for the optimal reorder interval. Solutions were obtained through an iterative approach to determine a valid discount price interval. Proportional adjustments were then applied to satisfy the warehouse capacity constraint. A numerical example involving three product items yielded an optimal cycle time t* = 0.144 periods, a reorder interval after capacity adjustment G = 0.108 periods, and total inventory costs of IDR 2,086,099,971 per planning period. The addition of carbon emission variables increases the holding cost component and reduces the optimal reorder interval compared to the reference model, resulting in a total inventory cost IDR 1,488,996 higher than the reference model. Sensitivity analysis results indicate that warehouse capacity has the greatest influence on total costs compared to carbon emission parameters. This study contributes to the integration of environmental aspects into a deterministic multi-item inventory model, thereby providing a more comprehensive decision-making framework for retail managers.
Co-Authors Alem Wandira Sembiring Alexander G. Agung Anggoro P. Utomo Christabel Jovanka Heavie Zipora Setiawan Marla Setiawati