Analisis Investasi Strategis untuk Peningkatan Standar Keselamatan Mesin di Industri Manufaktur

Yusuf, Ahmad Burhanuddin (2025) Analisis Investasi Strategis untuk Peningkatan Standar Keselamatan Mesin di Industri Manufaktur. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penelitian ini bertujuan untuk menganalisis hubungan antara investasi keselamatan dan kinerja operasional terhadap tingkat kecelakaan kerja pada perusahaan manufaktur, yang diukur menggunakan indikator Lost Time Accident Frequency Rate (LTA FR). Penelitian ini menggunakan pendekatan kuantitatif melalui analisis regresi linier dan non-linier terhadap data historis dari beberapa pabrik. Indikator kinerja operasional yang digunakan meliputi Manufacturing Variance, Total Machine Efficiency, Net Scrap, dan Customer Product Claim, yang kemudian dikonversi menjadi indeks Performance Matrix (PM). Selain itu, penelitian ini juga mengeksplorasi korelasi antara jumlah kecelakaan kerja dan besarnya investasi keselamatan. Studi kasus dilakukan pada sebuah perusahaan manufaktur multinasional yang beroperasi di 45 negara dengan lebih dari 160 fasilitas produksi. Fokus penelitian berada pada divisi fiber cement, dengan data historis yang diambil dari 19 fasilitas produksi yang tersebar di empat wilayah: Asia-Pacific (APAC), Latin America (LATAM), Afrika, dan Eropa. Hasil analisis regresi linier menunjukkan bahwa investasi keselamatan (Capex Invested) memiliki pengaruh signifikan terhadap penurunan LTA FR, dengan nilai p = 0,004 dan koefisien regresi sebesar -0,75. Nilai koefisien determinasi (R² = 0,50) menunjukkan bahwa 50% variasi dalam LTA FR dapat dijelaskan oleh model. Sebaliknya, indikator kinerja operasional (PM) tidak menunjukkan pengaruh yang signifikan secara statistik (p > 0,05). Model regresi non-linier eksponensial memberikan hasil yang lebih baik dengan R² = 0,76, yang menunjukkan kemampuan model dalam menangkap pola hubungan antarvariabel secara lebih akurat. Penelitian ini juga mengembangkan metode CESMA (Capital Expenditure Safety Management Assessment) sebagai alat bantu untuk memproyeksikan kebutuhan investasi keselamatan berdasarkan target penurunan LTA FR. Metode ini menggunakan pendekatan regresi dan data historis untuk membantu manajemen menentukan alokasi investasi yang proporsional dan berbasis kinerja. Dengan demikian, CESMA memberikan kerangka kerja kuantitatif yang dapat mendukung pengambilan keputusan strategis dalam pengelolaan keselamatan kerja di sektor manufaktur.
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This study aims to analyze the relationship between safety investment and operational performance on the rate of workplace accidents in manufacturing companies, as measured by the Lost Time Accident Frequency Rate (LTA FR). The research employs a quantitative approach using linear and non-linear regression analysis based on historical data from multiple factories. Operational performance indicators include Manufacturing Variance, Total Machine Efficiency, Net Scrap, and Customer Product Claim, which are then consolidated into a single index called the Performance Matrix (PM). This research also explores the correlation between the number of workplace accidents and the level of safety investment. A case study was conducted in a multinational manufacturing company operating in 45 countries with more than 160 production facilities. The research focuses on the fiber cement division, using historical data from 19 production plants across four regions: Asia�Pacific (APAC), Latin America (LATAM), Africa, and Europe. The linear regression results indicate that safety investment (Capex Invested) has a significant influence on reducing LTA FR, with a p-value of 0.004 and a regression coefficient of -0.75. The model’s coefficient of determination (R²) is 0.50, suggesting that 50% of the variation in LTA FR can be explained by the model. In contrast, the operational performance index (PM) does not show a statistically significant effect (p > 0.05). The exponential non-linear regression model provides a better fit, with an R² value of 0.76, indicating a stronger ability to capture the relationship between variables. This study also introduces the CESMA (Capital Expenditure Safety Management Assessment) method as a decision-support tool for projecting safety investment needs based on targeted reductions in LTA FR. The method utilizes regression analysis and historical data to help management allocate investments in a proportional and performance-driven manner. As such, CESMA provides a quantitative framework to support strategic decision-making in occupational safety management within the manufacturing sector.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	safety projects on production machines, manufacturing industry, linear regression, non-linear regression, CESMA.
Subjects:	T Technology > TS Manufactures > TS167 Costs, Industrial
Divisions:	Interdisciplinary School of Management and Technology (SIMT) > 61101-Master of Technology Management (MMT)
Depositing User:	Ahmad Burhanuddin Yusuf
Date Deposited:	08 Jul 2025 02:19
Last Modified:	08 Jul 2025 02:19
URI:	http://repository.its.ac.id/id/eprint/119427

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