STREAMLINED LIFE CYCLE IMPACT ASSESSMENT AND HOTSPOT ANALYSIS OF A HEAVY EQUIPMENT SERVICE FACILITY IN INDONESIA: A GATE-TO-GATE PYTHON-BASED APPROACH

Josua Aditya Manuel (Department of Environmental Engineering, Diponegoro University, Semarang, Indonesia)
Haryono Setiyo Huboyo (Department of Environmental Engineering, Diponegoro University, Semarang, Indonesia)
Ika Bagus Priyambada (Department of Environmental Engineering, Diponegoro University, Semarang, Indonesia)

Multidiciplinary Output Research for Actual and International Issue (Morfai Journal)
Vol. 6 No. 6 (2026): Multidiciplinary Output Research For Actual and International Issue

This study develops and applies a streamlined Life Cycle Impact Assessment (LCIA) approach to evaluate the operational environmental performance of a heavy equipment service facility under a gate-to-gate system boundary. The case study uses 2025 operational data from PT United Tractors Tbk, Semarang Branch, including electricity, fuel, water, and non-hazardous waste consumption, and processes the inventory through a transparent, fully auditable Python-based implementation rather than through commercial LCA software. The results show that the Climate Change (GWP100) score reaches 176,203.80 kg CO2-eq per year under market-based Scope 2 accounting, with grid electricity from the Java-Madura-Bali (JAMALI) interconnection contributing 60.92% of the total impact, well above the gasoline- and diesel-type fuel flows that follow it. At the process level, Workshop and Service and Delivery and Mobilization emerge as the dominant hotspots, jointly contributing 59.05% to the annual climate footprint, while a supplementary hazardous-waste inventory further identifies 4.913 tonnes per year of regulated waste, of which 99.0% is verifiably managed through a licensed third party. The findings indicate that a streamlined, code-based LCIA can deliver sufficiently robust and decision-relevant environmental information for internal management purposes in organizations that face limited access to commercial LCA software and characterization databases. The study contributes a replicable, methodologically transparent, and low-cost assessment framework for service-oriented industrial operations in emerging economies and offers a template that other branch-scale or small-and-medium enterprise operations can adapt with modest technical resources.