Improvement of Farmer Group Performance

Oct 13, 2025 by miodeya.com 61 views

Relationship between Farmers Group Performance with the Productivity and Revenue of Arabica Coffee Farmers (Coffea Arabica) (Case: Ulu Pungkut District, Mandailing Natal Regency)

Introduction

The performance of farmer groups plays a crucial role in determining the productivity and revenue of Arabica coffee farmers. In this study, we aim to investigate the relationship between the performance of farmer groups and the productivity and revenue of Arabica coffee farmers in Ulu Pungkut District, Mandailing Natal Regency. The study employed a purposive sampling method to select three farmer groups, namely Satahi 1, True Farmers Group, and Farmers Group Advanced Together. The data analysis was conducted using the CIPP (Context, Input, Process, Product) and Chi Square methods to identify the relationship between the existing variables.

Methodology

The research method employed in this study was purposive sampling, which aimed to determine the right research area. The selection of samples was carried out using the random sampling method. The data collection was conducted through a survey, which included a questionnaire and an interview with the members of the farmer groups. The data analysis was carried out using the CIPP and Chi Square methods to identify the relationship between the existing variables.

Performance of Farmer Groups

The performance of the Satahi 1 farmer group was found to be good, with an average performance indicator score of 64.93. On the other hand, the True Farmers Group had a fairly good performance with an average score of 41.37, while the Farmers Group Advanced Together had an average score of 35.21. This performance appraisal reflects how effective the farmer groups in managing existing resources and contributing to the welfare of their members.

Productivity of Arabica Coffee Farmers

The members of the Satahi 1 farmer group recorded an average harvest of 44 kg/ha, which is included in the category of high productivity. Meanwhile, members of the True and Forward Farmers Group together with each recorded harvest of 35.73 kg/ha and 32.64 kg/ha, classified in the category of medium and low productivity. This difference in productivity is closely related to factors such as farmer group management, cultivation techniques, and access to appropriate agricultural information and technology.

Revenue of Arabica Coffee Farmers

The members of the Satahi 1 Farmers Group achieve an average income of Rp. 21,760,493/ha, relatively high. The income of the True Farmers Group members is in a middle position with an average of Rp. 13,367,842/ha, while the income of the members of the Farmers Group Forward Together is recorded as the lowest with Rp. 6,826,440/ha. The income earned by these farmers shows a positive impact of the performance of farmer groups in increasing their farm outcomes.

Relationship between Performance of Farmer Groups and Productivity and Revenue

More analysis shows a significant relationship between the performance of farmer groups and productivity and member income. This indicates that farmer groups that have good performance tend to be able to maximize the potential of agricultural products and their members' income. Therefore, improvement of the performance of farmer groups needs to be continued through training, increasing access to information, and strengthening cooperation between members.

Conclusion

Overall, this research gives a clear picture that the performance of farmer groups has a significant impact on the productivity and income of Arabica coffee farmers. For this reason, it is important for the government and related institutions to pay more attention to the development of farmer groups, so that farmers can achieve more optimal productivity and income.

Recommendations

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

Improvement of Farmer Group Performance: The performance of farmer groups needs to be improved through training, increasing access to information, and strengthening cooperation between members.
Development of Agricultural Information and Technology: The development of agricultural information and technology needs to be continued to support the productivity and income of Arabica coffee farmers.
Strengthening of Farmer Group Management: The management of farmer groups needs to be strengthened to ensure that the resources are managed effectively and efficiently.
Increased Access to Markets: The access to markets needs to be increased to enable farmers to sell their products at a better price.

Limitations of the Study

This study has several limitations, including:

Limited Sample Size: The sample size of this study is limited to three farmer groups, which may not be representative of all farmer groups in the region.
Limited Data Collection: The data collection was limited to a survey and an interview, which may not provide a comprehensive understanding of the relationship between the performance of farmer groups and productivity and revenue.

Future Research Directions

Future research directions include:

Investigating the Relationship between Farmer Group Performance and Other Variables: Future research can investigate the relationship between farmer group performance and other variables, such as soil quality, climate change, and market demand.
Developing a Model to Predict Farmer Group Performance: Future research can develop a model to predict farmer group performance based on various factors, such as farmer group management, cultivation techniques, and access to agricultural information and technology.
Evaluating the Effectiveness of Interventions: Future research can evaluate the effectiveness of interventions, such as training and increasing access to information, in improving farmer group performance and productivity and revenue.
Q&A: Relationship between Farmers Group Performance with the Productivity and Revenue of Arabica Coffee Farmers

Q: What is the main objective of this study?

A: The main objective of this study is to investigate the relationship between the performance of farmer groups and the productivity and revenue of Arabica coffee farmers in Ulu Pungkut District, Mandailing Natal Regency.

Q: What is the significance of this study?

A: This study is significant because it provides a clear picture of the relationship between the performance of farmer groups and the productivity and revenue of Arabica coffee farmers. It also highlights the importance of improving farmer group performance to increase productivity and revenue.

Q: What are the key findings of this study?

A: The key findings of this study are:

The performance of the Satahi 1 farmer group was found to be good, with an average performance indicator score of 64.93.
The members of the Satahi 1 farmer group recorded an average harvest of 44 kg/ha, which is included in the category of high productivity.
The members of the Satahi 1 Farmers Group achieve an average income of Rp. 21,760,493/ha, relatively high.
There is a significant relationship between the performance of farmer groups and productivity and member income.

Q: What are the implications of this study?

A: The implications of this study are:

Improving farmer group performance is crucial to increase productivity and revenue.
Farmer groups that have good performance tend to be able to maximize the potential of agricultural products and their members' income.
The government and related institutions should pay more attention to the development of farmer groups to enable farmers to achieve more optimal productivity and income.

Q: What are the limitations of this study?

A: The limitations of this study are:

The sample size of this study is limited to three farmer groups, which may not be representative of all farmer groups in the region.
The data collection was limited to a survey and an interview, which may not provide a comprehensive understanding of the relationship between the performance of farmer groups and productivity and revenue.

Q: What are the future research directions?

A: The future research directions are:

Investigating the relationship between farmer group performance and other variables, such as soil quality, climate change, and market demand.
Developing a model to predict farmer group performance based on various factors, such as farmer group management, cultivation techniques, and access to agricultural information and technology.
Evaluating the effectiveness of interventions, such as training and increasing access to information, in improving farmer group performance and productivity and revenue.

Q: What are the recommendations for policymakers and practitioners?

A: The recommendations for policymakers and practitioners are:

Improving farmer group performance through training, increasing access to information, and strengthening cooperation between members.
Developing agricultural information and technology to support the productivity and income of Arabica coffee farmers.
Strengthening farmer group management to ensure that resources are managed effectively and efficiently.
Increasing access to markets to enable farmers to sell their products at a better price.

Q: What are the implications for the development of Arabica coffee farmers?

A: The implications for the development of Arabica coffee farmers are:

Improving farmer group performance is crucial to increase productivity and revenue.
Farmer groups that have good performance tend to be able to maximize the potential of agricultural products and their members' income.
The government and related institutions should pay more attention to the development of farmer groups to enable farmers to achieve more optimal productivity and income.