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Analisis Efisiensi dan Akurasi Pengolahan Data Total Station Menggunakan AutoLISP pada AutoCAD: Studi Kasus di PT. Rotary Engineering Indonesia Rudi Ariadi; Hery Irwan
RESWARA: Jurnal Riset Ilmu Teknik Vol. 4 No. 4 (2026): RESWARA: Jurnal Riset Ilmu Teknik, October 2026
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v4i4.806

Abstract

Processing Total Station measurement data in fabrication work requires an efficient, consistent, and accurate workflow, particularly when comparing actual positions with design positions. Manual processing involves several stages, including coordinate processing, deviation calculation, and visualization in AutoCAD, which may increase processing time and the potential for operator errors. This study aims to develop and implement the ECC.LSP AutoLISP program in AutoCAD to automate Total Station data processing and evaluate its effectiveness compared with the manual method. The study was conducted at PT Rotary Engineering Indonesia using 12 sample points. ECC.LSP was developed to read design and actual point coordinates, calculate coordinate deviations, determine displacement direction, and generate visualizations in the form of arrows and deviation values in AutoCAD. The evaluation was based on processing time, accuracy, consistency, and potential errors. The results showed that processing time decreased from 25 minutes using the manual method to 7 minutes using AutoLISP, representing a 72% time efficiency. Both methods demonstrated high accuracy, while the AutoLISP method provided higher consistency than the manual method. The potential for errors was also lower when using AutoLISP. These findings indicate that ECC.LSP can improve the efficiency and consistency of Total Station data processing without reducing the accuracy of the results in the conducted evaluation.
The Influence of Work Safety Culture on The Performance of Heavy Equipment Operators in The Heavy Equipment Rental Industry at PT. Buana Orbit Sejahtera Rikson Mitro Jaya Pasaribu; Hery Irwan
RESWARA: Jurnal Riset Ilmu Teknik Vol. 4 No. 4 (2026): RESWARA: Jurnal Riset Ilmu Teknik, October 2026
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v4i4.788

Abstract

The heavy equipment rental industry operates in high-risk environments characterized by dynamic hazards and complex machinery management. Although occupational safety culture is critical in high-hazard sectors, empirical evidence focusing on heavy equipment operators in the rental industry remains limited. This study aims to quantitatively analyze the influence of occupational safety culture on the work performance of heavy equipment operators at PT. Buana Orbit Sejahtera. An explanatory quantitative survey was conducted among 50 heavy equipment operators selected through purposive sampling based on active employment status, a minimum of one year of operational experience, and completion of mandatory safety induction. Data were collected using structured five-point Likert-scale questionnaires. Data analysis included Pearson product-moment validity testing, Cronbach’s Alpha reliability testing, classical assumption tests using Shapiro–Wilk normality and Glejser heteroscedasticity tests, simple linear regression, hypothesis testing, and coefficient of determination analysis. The results indicated that the research instruments were valid and reliable, while the regression model satisfied the classical assumptions. Simple linear regression demonstrated that occupational safety culture had a positive and statistically significant effect on operator performance. The coefficient of determination (R²) was 0.656, indicating that 65.6% of the variance in operator performance was explained by occupational safety culture, while 34.4% was attributable to other factors. In conclusion, occupational safety culture serves not only as an accident-prevention mechanism but also as a strategic determinant of operator performance, operational discipline, and workforce productivity in the heavy equipment rental industry.