Claim Missing Document
Check
Articles

Found 3 Documents
Search

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.
Jersey Production Quality Control Using Six Sigma and FMEA Methods To Minimize Product Defects Indy Aurelia Jasmine; Sheila Amalia Salma; Hadi Susanto
JTI: Jurnal Teknik Industri Vol 10 No 2 (2024): December 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v10i2.30774

Abstract

CV. Genethics is a company engaged in the field of clothing with a primary focus on product quality and customer satisfaction. Based on production data for September 2022 to September 2023, defective products were still found in the jersey production process, with the percentage of defects exceeding the company's tolerance limit of 2%. The defects often occur include white spots, wrinkles, ink buildup, faded ink, non-uniform color, and shadow lines. This research aims to identify the causes of defects in the production process, find the root of the problem, and provide improvement recommendations to reduce the percentage of defects so that it approaches the tolerance limit set by the company. The research uses Six Sigma and Failure Mode and Effect Analysis (FMEA) methods to analyze the problem. The main factors that cause defects are people, information, and methods. Based on the FMEA analysis, it was found that the cause of failure with the highest RPN value was the absence of written information regarding standard work procedures, which could potentially cause various types of defects. The proposed solution is to design a new Standard Operating Procedure (SOP) supported by additional documentation. This recommendation is expected to reduce the defect rate and improve quality control in the jersey production process. Keywords: Quality, Defects, FMEA, Six Sigma, Jersey Products