Relationship of Sorting Equipment Weight with Time to Decrease Palm Oil and Selection of Sorting Equipment with Stopwatch Time Study at PTPN IV Pabatu Unit
Introduction
PT. Perkebunan Nusantara IV, particularly the Pabatu Palm Oil Mill (PKS), is a prominent company in the oil palm plantation sector. The efficiency of decreased fresh fruit bunches (FFB) at the loading ramp station is a crucial aspect of the company's operations. This study focuses on the efficiency of decreased FFB at the loading ramp station, which is done using a sorting tool known as "tojok". The study aims to investigate the relationship between the weight of the sorting equipment and the time to decrease palm oil, as well as to select the most efficient sorting equipment using the Stopwatch Time Study method.
Background
Previous studies have redesigned the sorting device to adjust to the body's dimensions and operator characteristics using the Quality Function Deployment (QFD) and anthropometric methods. The three sorting devices studied are the third design of Sabam Aritonang, which uses three different materials. The study aims to build on these previous findings and to investigate the relationship between the weight of the sorting equipment and the time to decrease palm oil.
Methodology
This study employed two main methods to analyze data. First, the correlation and regression methods were used to determine how closely the relationship between the weight of the sorting equipment and the length of time for the decline in FFB from the truck. If there is a significant relationship, regression analysis will be carried out to predict the value of independent variables (weight of sorting devices) that are influenced by the dependent variable (length of time to decrease FFB). Second, research also applies the Stopwatch Time Study method, which is useful for analyzing time in a short and recurrent work. The standard time obtained from this method can be used to determine the time required to complete one work cycle. Sorting devices with the smallest standard time will be chosen as the main tool.
Results
The calculation results show that the correlation coefficient between the weight of the sorting equipment and the length of time for the decline in FFB from the truck is r = 0.0548. This shows that the relationship between the weight of the sorting equipment and the time of decline in FFB is very low, with a range of values between 0.00 - 0.199. The regression analysis is carried out further explains this relationship deeper. In this case, Y symbolizes the length of time to reduce FFB from the truck, while X is the weight of the sorting equipment. Sorting devices selected based on standard time are sorting tools 2, which have a standard time of 34.33 minutes.
Discussion
From the results of this study, there are several important insights to note. First, although the value of the correlation coefficient obtained is relatively low, this does not rule out the possibility that other factors may affect the time of decreased FFB. Factors such as operator skills, weather conditions, and FFB conditions themselves can affect the time of decline. Therefore, further analysis may be needed to get a more comprehensive understanding.
Second, the selection of appropriate sorting devices is very important in increasing operational efficiency. In this context, the standard time of 34.33 minutes for sorting tools 2 shows that this tool is more efficient than other tools. This can be a reference for the management of PTPN IV Pabatu Unit in choosing optimal tools to increase productivity.
Third, the importance of the methodology used, such as QFD and anthropometry in designing ergonomic sorting tools, shows that attention to the human aspects in the design of the tool should not be ignored. By paying attention to this aspect, it can increase the comfort and efficiency of the operator at work, which in turn can affect the company's overall output.
Conclusion
With these various findings, PTPN IV Unit Pabatu is expected to continue to innovate and improve operational processes in handling FFB, taking into account the human factors and the tools used. This is not only useful for increasing productivity, but also for the welfare of employees who work in the field.
Recommendations
Based on the findings of this study, the following recommendations are made:
Further analysis is needed to get a more comprehensive understanding of the factors that affect the time of decreased FFB.
The selection of appropriate sorting devices is crucial in increasing operational efficiency. Sorting tools 2 with a standard time of 34.33 minutes should be chosen as the main tool.
Attention should be paid to the human aspects in the design of the tool, using methodologies such as QFD and anthropometry.
The company should continue to innovate and improve operational processes in handling FFB, taking into account the human factors and the tools used.
Limitations
This study has several limitations. First, the sample size is relatively small, which may affect the generalizability of the findings. Second, the study only focuses on the relationship between the weight of the sorting equipment and the time to decrease palm oil, and does not consider other factors that may affect the time of decline. Third, the study only uses two methods to analyze data, and does not consider other methods that may be useful in analyzing time in a short and recurrent work.
Future Research Directions
Future research should aim to build on the findings of this study and to investigate the relationship between the weight of the sorting equipment and the time to decrease palm oil in more detail. This can be done by using a larger sample size and by considering other factors that may affect the time of decline. Additionally, future research should aim to develop more efficient sorting tools that take into account the human aspects in the design of the tool.Q&A: Relationship of Sorting Equipment Weight with Time to Decrease Palm Oil and Selection of Sorting Equipment with Stopwatch Time Study at PTPN IV Pabatu Unit
Q: What is the main objective of this study?
A: The main objective of this study is to investigate the relationship between the weight of the sorting equipment and the time to decrease palm oil, as well as to select the most efficient sorting equipment using the Stopwatch Time Study method.
Q: What is the significance of this study?
A: This study is significant because it aims to improve the efficiency of decreased fresh fruit bunches (FFB) at the loading ramp station, which is a crucial aspect of the company's operations. By selecting the most efficient sorting equipment, the company can increase productivity and reduce costs.
Q: What methods were used to analyze data in this study?
A: This study employed two main methods to analyze data: correlation and regression methods, and the Stopwatch Time Study method. The correlation and regression methods were used to determine how closely the relationship between the weight of the sorting equipment and the length of time for the decline in FFB from the truck. The Stopwatch Time Study method was used to analyze time in a short and recurrent work.
Q: What were the results of this study?
A: The calculation results show that the correlation coefficient between the weight of the sorting equipment and the length of time for the decline in FFB from the truck is r = 0.0548. This shows that the relationship between the weight of the sorting equipment and the time of decline in FFB is very low. The regression analysis is carried out further explains this relationship deeper. Sorting devices selected based on standard time are sorting tools 2, which have a standard time of 34.33 minutes.
Q: What are the implications of this study?
A: The implications of this study are that the selection of appropriate sorting devices is crucial in increasing operational efficiency. Sorting tools 2 with a standard time of 34.33 minutes should be chosen as the main tool. Additionally, attention should be paid to the human aspects in the design of the tool, using methodologies such as QFD and anthropometry.
Q: What are the limitations of this study?
A: This study has several limitations. First, the sample size is relatively small, which may affect the generalizability of the findings. Second, the study only focuses on the relationship between the weight of the sorting equipment and the time to decrease palm oil, and does not consider other factors that may affect the time of decline. Third, the study only uses two methods to analyze data, and does not consider other methods that may be useful in analyzing time in a short and recurrent work.
Q: What are the future research directions?
A: Future research should aim to build on the findings of this study and to investigate the relationship between the weight of the sorting equipment and the time to decrease palm oil in more detail. This can be done by using a larger sample size and by considering other factors that may affect the time of decline. Additionally, future research should aim to develop more efficient sorting tools that take into account the human aspects in the design of the tool.
Q: What are the practical implications of this study?
A: The practical implications of this study are that the company should continue to innovate and improve operational processes in handling FFB, taking into account the human factors and the tools used. This is not only useful for increasing productivity, but also for the welfare of employees who work in the field.
Q: What are the recommendations of this study?
A: Based on the findings of this study, the following recommendations are made:
Further analysis is needed to get a more comprehensive understanding of the factors that affect the time of decreased FFB.
The selection of appropriate sorting devices is crucial in increasing operational efficiency. Sorting tools 2 with a standard time of 34.33 minutes should be chosen as the main tool.
Attention should be paid to the human aspects in the design of the tool, using methodologies such as QFD and anthropometry.
The company should continue to innovate and improve operational processes in handling FFB, taking into account the human factors and the tools used.