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Mahmud Basuki
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industridaninovasi@gmail.com
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Program Studi Teknik Industri, Fakultas Teknik, Universitas Teuku Umar, Jalan Alue Peunyareng, Ujong Tanoh Darat, Meureubo, Aceh Barat, Aceh. Kode Pos 23615
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INDONESIA
Jurnal Industri dan Inovasi (INVASI)
Published by Universitas Teuku Umar
ISSN : 30468019     EISSN : -     DOI : -
Core Subject : Science, Engineering,
Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Transportation
Jurnal INVASI: Industri dan Inovasi adalah jurnal ilmiah yang diterbitkan oleh Program Studi Teknik Industri (PSTI), Fakultas Teknik, Universitas Teuku Umar melalui proses review. Jurnal ini bertujuan untuk mempublikasikan hasil penelitian di bidang Teknik Industri yang terbit dua kali dalam setahun yaitu pada bulan September dan Maret. Ruang lingkup keilmuan meliputi Riset Operasi, Sistem Manufaktur, Tekno & Manajemen Industri, Ergonomi dan Sistem Kerja, Logistik dan Supply Chain Management, Lingkungan dan Kesehatan Kerja, Teknologi & Sistem Informasi, Data Mining & Artificial Intelegent, Automasi Industri, Industrial & System Engineering, Rekayasa Kualitas dan Keandalan, Business Development serta kajian ilmiah lainnya sesuai dengan ruang lingkup penelitian Teknik Industri.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 22 Documents
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Analysis of Factors Affecting Workforce Productivity in the Steel Tower Production Division of PT X Syahputra, Rizki Agam; Arifin, Riski; Pamungkas, Iing; Ridha, Arrazy Elba; Irawan, Risnadi; Nova, Nova
Jurnal Industri dan Inovasi (INVASI) Vol 2, No 2 (2025): Maret
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64670/invasi.v2i2.11774

Abstract

This study analyzes the impact of age, wages, work environment, working hours, and work experience on workforce productivity in the Steel Tower Production Division of PT X using multiple linear regression (SPSS 16). The analysis includes validity, reliability, multicollinearity, heteroscedasticity, and hypothesis testing. Results show no multicollinearity or heteroscedasticity issues. The R² value (0.545) indicates that 54.5% of productivity variance is explained by the independent variables, while 45.5% is influenced by other factors. However, F-test and T-test results indicate that none of the variables significantly affect productivity.This suggests that other factors, such as motivation or job satisfaction, may play a larger role. Future research should explore these aspects to gain deeper insights.
Sistem Dinamis sebagai Alat Analisis dan Pengambilan Keputusan di Indonesia: Literature Review Pamungkas, Iing; Akmal, Abdiel Khaleil; Irawan, Heri Tri; Syahputra, Rizki Agam; Ridha, Arrazy Elba; Zhaqiri, Hazdfi; Fadjrin, Sitti
Jurnal Industri dan Inovasi (INVASI) Vol 2, No 2 (2025): Maret
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64670/invasi.v2i2.11618

Abstract

This research aims to conduct a comprehensive literature review on the application of dynamic system simulation as a decision-making tool. This research is motivated by the complexity of modern problems that require appropriate analytical tools to support better decision-making. The method used in this research is a systematic literature review by following structured steps to ensure that this research is comprehensive and unbiased. The results of this study indicate that dynamic systems are powerful and relevant analytical tools across sectors. With its ability to model dynamic interactions and simulate future scenarios, dynamic systems can help stakeholders make better decisions and achieve more sustainable results in facing complex challenges in the modern era. This study also identifies several challenges in the application of dynamic system simulation, such as lack of awareness of its benefits, lack of expertise in building and analyzing simulation models, as well as limited in-depth research on its application in various contexts. Therefore, further research is needed to address these challenges and improve the application of dynamic system simulation in decision making.

Page 3 of 3 | Total Record : 22

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