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All Journal Jurnal Ilmiah Teknik Industri
Lina Gozali
Program Studi Teknik Industri, Fakultas Teknik, Universitas Tarumanagara
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering Transportation

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PERANCANGAN TATA LETAK PABRIK PACKAGING DENGAN METODE SYSTEMATIC LAYOUT PLANNING DAN COMPUTERIZED RELATIONSHIP LAYOUT PLANNING Vanecia Marchella Hardinanerl; Lina Gozali; Adianto; Christhoper Robin
Jurnal Ilmiah Teknik Industri Vol. 13 No. 2 (2025): Jurnal Ilmiah Teknik Industri : Jurnal Keilmuan Teknik dan Manajemen Industri
Publisher : Program Studi Teknik Industri, Fakultas Teknik Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/ab39w147

Abstract

This research aims to improve the efficiency and productivity of the factory layout in a cardboard packaging manufacturing company. In this study, the Systematic Layout Planning (SLP) and Computerized Relationship Layout Planning (CORELAP) methods were adopted to redesign the factory layout in order to shorten distances and minimize material movement time, thereby enhancing workflow. Initially, a comprehensive analysis of the existing factory layout was conducted, identifying constraints that affect productivity. Subsequently, alternative layouts were designed using the SLP and CORELAP methods, and the results were compared to find a more efficient layout solution, considering factors such as facility distances, material flow, and space requirements for each workstation. Simulation results and calculations indicated that redesigning the factory layout using this approach led to a significant increase in operational efficiency. The selected layout resulted in a material handling cost efficiency improvement of up to 70% from the original layout, reducing daily movement distances by 24,414 meters.
CEMENT PRODUCTION FORECAST IN INDONESIA FOR THE PERIOD OF 2026-2030 USING VARIOUS FORECASTING METHODS AND BUSINESS INTELLIGENCE WITH POWERBI Arfadillah Damaera Agus; Lina Gozali; I Wayan Sukania
Jurnal Ilmiah Teknik Industri Vol. 13 No. 3 (2025): Jurnal Ilmiah Teknik Industri : Jurnal Keilmuan Teknik dan Manajemen Industri
Publisher : Program Studi Teknik Industri, Fakultas Teknik Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jitiuntar.v13i3.37286

Abstract

Indonesia’s cement manufacturing industry is currently in oversupply. According to Businesswire – A subsidiary of Berkshire Hathaway – Indonesia’s cement industry is currently navigating a structural imbalance marked by oversupply, this makes production planning very important to mitigate overproduction in the future. This journal collaborates various forecasting methods and machine learning with production planning. Machine learning is one of the technological breakthroughs of the 20th century. If used correctly, machine learning can be very beneficial for production planning combined with various forecasting methods. Historical data are used as reference to forecast into the future. Based on the test results, Decomposition method is the best forecasting method in this case. The output of the forecast is a business intelligence dashboard that supports decision makers in strategic planning.
Co-Authors Adianto Arfadillah Damaera Agus Christhoper Robin I Wayan Sukania Vanecia Marchella Hardinanerl