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Development of Excel-Based Building Defect Management System Using Business Process Reengineering in Education Building Abdi Telaga; Thyana Avianto; Andreadie Wicaksono; Hadi Susanto
Indonesian Journal of Applied Research (IJAR) Vol. 4 No. 2 (2023): Indonesian Journal of Applied Research (IJAR)
Publisher : Universitas Djuanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30997/ijar.v4i2.292

Abstract

Effective maintenance of a university campus building is crucial to ensure the safety and well-being of its academic community. However, maintaining the building and its various equipment and assets can take time and effort. This study aims to optimize building maintenance by implementing Business Process Reengineering (BPR) and using an Excel-based application system to detect points of damage. The study analyzes the maintenance process's cost, duration, and damage reports using dashboard features such as Gantt chart diagrams. By comparing the Excel-based application system with the conventional system, we found that the former is more effective and efficient. The results show that the application system saves 12 hours of recapitulation time per week, increases labor productivity by 32.2%, and speeds up damage reparation by 5%.
The Fleet and Berth Selection Model to Improve Energy and Environment Sustainability Ari Setiawan; Eka Kurnia Asih Pakpahan; Hadi Susanto
International Journal of Innovation in Enterprise System Vol 7 No 02 (2023): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijies.v7i02.219

Abstract

This research aims to improve energy sustainability in transportation management. The case was derived from port-to-port coal transportation problem commonly faced by third-party logistic (3PL) company. During planning, they must determine which shipsets to be used and assign them to the loading/unloading berths. Each berth varies in terms of its loading/unloading speed and each shipset varies in terms of its capacity, sail speed, and fuel consumption rate. The selection of shipset impacts the auxiliary and main engine fuel consumption while the selection of berth impacts only the auxiliary engine fuel consumption. The target is to minimize the total fuel consumed by both engines for the whole shipset. We modelled the case through Multiple Vehicle Allocation Problem (MVAP) framework and proposed a heuristic algorithm to find the solutions. The heuristic algorithm is proven to be able to reach an optimal solution for small cases and near-optimal for medium to large cases.