Weighting and Ranking of Factors

Oct 13, 2025 by pinkandtrash.com 39 views

# Determination of Priority Factors that Influence the Productivity of CPO Factory in PTPN III PKS Rambutan

Understanding the Importance of Productivity in CPO Factory

Productivity is a crucial factor in determining the competitiveness of a company, and every organization, including PTPN III PKS Rambutan, strives to achieve optimal productivity. In the context of a CPO (Crude Palm Oil) factory, productivity is directly related to the quality of the final product, customer satisfaction, and ultimately, the company's revenue. Therefore, identifying and analyzing the factors that influence CPO productivity is essential for the success of the factory.

Background of the Study

PTPN III PKS Rambutan is a CPO factory that aims to produce high-quality palm oil products. However, the factory faces challenges in achieving its productivity targets, which can be attributed to various factors. This study aims to identify and analyze the factors that determine the achievement of CPO productivity targets at the factory. The research focuses on the quality of fresh bunch (FFB), labor skills, and processing technology as the primary factors that influence CPO productivity.

Methodology

The study employed the Analytic Network Process (ANP) method, which is a decision-making tool that considers the linkages between various factors and subfactors. The ANP method was used to analyze the data collected from a questionnaire survey conducted among the factory's employees and management. The Super Decisions software was used to perform the ANP analysis and determine the weighting and ranking of the factors.

Research Findings

The results of the analysis revealed that there are three main factors and eight subfactors that affect CPO productivity:

Main Factors

FFB Quality
- Subfactor:
  - Harvest Quality (T1)
  - Quantity of TBS (T2)
Labor Quality
- Subfactor:
  - Health (K1)
  - Education (K2)
  - Work Experience (K3)
  - Age of Workers (K4)
Processing Machine
- Subfactor:
  - Machine Age (M1)
  - Machine Maintenance (M2)

Weighting and Ranking of Factors

The results of the ANP analysis revealed that the factors that have the greatest influence on CPO productivity are:

Machine Age (30.86%)
Quantity of FFB (27.75%)
Harvest Quality (2.88%)

Additional Analysis

The results of this study have significant implications for the management of PTPN III PKS Rambutan. The findings suggest that investing in machine maintenance and improving the quality of labor are crucial steps in increasing CPO productivity. Skilled and experienced workers tend to be more efficient in completing their tasks, which can lead to increased production results. Additionally, good machine maintenance can extend the life of the engine and reduce stop time, which can also contribute to increased productivity.

Strategic Recommendations

Based on the findings of this study, the following strategic recommendations are made:

Invest in machine maintenance: Regular maintenance of machines can extend their life and reduce stop time, which can contribute to increased productivity.
Improve labor quality: Skills training for workers and improving health facilities at work can increase the efficiency of workers and lead to increased production results.
Monitor and control FFB quality: Ensuring that FFB is of high quality can contribute to increased productivity and quality of the final product.

Conclusion

In conclusion, this study has identified and analyzed the factors that influence CPO productivity at PTPN III PKS Rambutan. The findings suggest that investing in machine maintenance and improving labor quality are crucial steps in increasing CPO productivity. By understanding these factors, the management of PTPN III PKS Rambutan can take strategic steps to increase productivity and competitiveness in the CPO industry.
Frequently Asked Questions (FAQs) about Determining Priority Factors that Influence CPO Factory Productivity

Q: What is the main objective of this study?

A: The main objective of this study is to identify and analyze the factors that determine the achievement of CPO productivity targets at PTPN III PKS Rambutan.

Q: What are the primary factors that influence CPO productivity?

A: The primary factors that influence CPO productivity are FFB quality, labor quality, and processing technology.

Q: What are the subfactors that affect CPO productivity?

A: The subfactors that affect CPO productivity are:

FFB Quality
- Harvest Quality (T1)
- Quantity of TBS (T2)
Labor Quality
- Health (K1)
- Education (K2)
- Work Experience (K3)
- Age of Workers (K4)
Processing Machine
- Machine Age (M1)
- Machine Maintenance (M2)

Q: What is the significance of machine age in influencing CPO productivity?

A: Machine age is a significant factor in influencing CPO productivity. Older machines are more susceptible to damage and require more frequent maintenance, which can interfere with the production process.

Q: How does labor quality affect CPO productivity?

A: Labor quality is a critical factor in influencing CPO productivity. Skilled and experienced workers tend to be more efficient in completing their tasks, which can lead to increased production results.

Q: What are the implications of this study for the management of PTPN III PKS Rambutan?

A: The findings of this study suggest that investing in machine maintenance and improving labor quality are crucial steps in increasing CPO productivity. The management of PTPN III PKS Rambutan should prioritize these areas to improve productivity and competitiveness in the CPO industry.

Q: How can the results of this study be applied in practice?

A: The results of this study can be applied in practice by:

Investing in machine maintenance: Regular maintenance of machines can extend their life and reduce stop time, which can contribute to increased productivity.
Improving labor quality: Skills training for workers and improving health facilities at work can increase the efficiency of workers and lead to increased production results.
Monitoring and controlling FFB quality: Ensuring that FFB is of high quality can contribute to increased productivity and quality of the final product.

Q: What are the limitations of this study?

A: The limitations of this study include:

Sample size: The sample size of this study is limited to the employees and management of PTPN III PKS Rambutan.
Data collection: The data collected for this study is based on a questionnaire survey, which may not be representative of the entire population.
Generalizability: The findings of this study may not be generalizable to other CPO factories.

Q: What are the future research directions based on this study?

A: Future research directions based on this study include:

Investigating the impact of machine maintenance on CPO productivity: A study on the impact of machine maintenance on CPO productivity can provide more insights into the relationship between machine maintenance and productivity.
Analyzing the effect of labor quality on CPO productivity: A study on the effect of labor quality on CPO productivity can provide more insights into the relationship between labor quality and productivity.
Developing a predictive model for CPO productivity: A predictive model for CPO productivity can help predict the productivity of CPO factories based on various factors.