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The relationship between corporate social responsibility, business credit for individuals, entrepreneurship, and enhancing the performance of small and medium enterprises Ummi, Nurul; Katili, Putiri Bhuana; Setiawan, Hadi
Journal Industrial Servicess Vol 9, No 2 (2023): October 2023
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v9i2.21830

Abstract

The growth of small and medium-scale industries has significantly influenced regional economies. These industries, spanning from food production, handicrafts, furniture, to textiles and garment manufacturing, play a crucial role in addressing unemployment rates and bolstering regional economic development. To support small and medium enterprises (SMEs), the government has introduced the People's Business Credit Program (KUR). Besides the KUR program, SMEs receive capital aid and guidance from neighboring companies through what is commonly known as Corporate Social Responsibility (CSR). This study aims to explore the relationship between CSR assistance, KUR, and entrepreneurship in enhancing SME performance. Employing the Structural Equation Modeling (SEM) method, the research investigates causal links between independent and dependent variables, assessing the validity and reliability of the research instrument overall. SEM facilitates the examination of intricate variable relationships to provide an overarching view of the model. Upon data collection and analysis, this study concludes that there exists a causal relationship between CSR and KUR in relation to entrepreneurship, with a total effect value of 0.36. Furthermore, there is a correlation between CSR, KUR, and entrepreneurship, contributing to the enhancement of SME performance, with an indirect effect value of 0.25.
Optimizing construction project completion: A risk-based approach Ummi, Nurul; Setiawan, Hadi; Katili, Putiri Bhuana; Rahmawati, Virda Ayu
Journal Industrial Servicess Vol 10, No 1 (2024): April 2024
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v10i1.24868

Abstract

A construction company has a significant issue within the project planning division in determining which construction projects to undertake, as the company only assesses them based on feasibility studies and overall project risks. To support the decision-making process in selecting construction project resolutions, research was conducted to propose selections based on risk criteria. This research aims to establish the risk criteria used, determine the ratings of risk criteria and sub-criteria, and identify project alternatives with the lowest risk ratings. From the data processing results, the risk criteria utilized are contractor risk, financial risk, environmental and natural risk, quality risk, and material risk. Using the Analytical Hierarchy Process manual method and Expert Choice 11 software, the ratings for contractor risk are 46%, financial risk 16.2%, environmental & natural risk 5%, quality risk 22.8%, and material risk 10.1%. Sub-criteria risk ratings are as follows: experience 15.2%, performance 30.8%, project funds 13.1%, budget increase 3.1%, social disturbances 3.5%, natural events 1.5%, material quality 8%, design quality 7.5%, building quality 7.2%, material delay 5.9%, and material specification 4.1%. The construction project alternative with the lowest risk rating is the guest house construction project at 0.132. Therefore, the guest house construction project is proposed for immediate prioritized completion.
Bibliometric analysis of lean and green healthcare integration using Publish or Perish (PoP) Febianti, Evi; Ilhami, M. Adha; Ekawati, Ratna; Setiawan, Hadi
Journal Industrial Servicess Vol 10, No 1 (2024): April 2024
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v10i1.24476

Abstract

Lean Healthcare is an approach to management systems that can change the mindset of hospitals, making healthcare more organized by reducing waste. Waste can be defined as any activity that does not add value to a process. The study recommends a bibliometric analysis of this problem. This is necessary to identify research trends or gaps that still exist. Data searches use Publish or Perish software, while data analysis uses VOSviewer software. The search results and data analysis suggest that trends for Lean Healthcare problems will likely be resolved by integration with green practices. The final process can be carried out considering environmental sustainability factors.
Effect of job satisfaction, employee engagement, and work culture on employee performance during the Covid-19 pandemic Gunawan, Akbar; Wahyuni, Nuraida; Baridzualdi, Baridzualdi; Katili, Putiri Bhuana; Setiawan, Hadi; Yulianti, Nani
Journal of Systems Engineering and Management Vol 1, No 1 (2022)
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/joseam.v1i1.17542

Abstract

XYZ is a manufacturing company producing paper and cardboard boxes for packaging. Based on field observations, the Covid-19 pandemic also impacts XYZ employees, namely changes in work habits. These changes make employees experience difficulties at work and make it difficult for them to meet production targets. Based on this, there are indications of a decrease in employee performance. Therefore, the researchers took several approaches to things that affect employee performance. This study aims to determine the effect of job satisfaction on employee performance, attachment to employee performance, and work culture on employee performance. The results obtained from these objectives are that the job satisfaction variable has a positive and significant effect on the employee performance variable, the employee engagement variable has a positive and significant effect on employee performance, and the work culture variable has a positive and significant influence on the employee performance variable.