The use of technology can improve the accuracy and efficiency of the qurban goat selection process

Oct 13, 2025 by thesweetdesigns.com 89 views

The Search for the Best Qurban Goat Based on Shari'a Using the Simple Additive Weighting (SAW) Method Based on IoT

Introduction

Every year, Muslims around the world celebrate the qurban ritual, including in Indonesia. One of the animals that meet the requirements for qurban is goats. To assist the seller in determining the best qurban goat, an efficient decision support system is needed. In this context, the decision support system (DSS) is an information system used to help the decision making process. The Simple Additive Weighting (SAW) method is a decision making technique used to evaluate and choose alternatives based on predetermined criteria. With the increasing demand for qurban goats, it is essential to develop a system that can accurately and efficiently select the best qurban goats.

Background

The qurban ritual is a significant event in the Islamic calendar, where Muslims sacrifice animals to demonstrate their devotion and gratitude to Allah. The selection of qurban animals is crucial, as it must meet the requirements set by Islamic law. In Indonesia, goats are one of the most popular qurban animals, due to their availability and affordability. However, the selection process can be time-consuming and subjective, relying on the seller's expertise and experience. The use of technology can improve the accuracy and efficiency of the qurban goat selection process.

The Simple Additive Weighting (SAW) Method

The SAW method is a decision making technique used to evaluate and choose alternatives based on predetermined criteria. It involves assigning weights to each criterion, based on its importance, and then calculating the overall score of each alternative. The alternative with the highest score is selected as the best option. The SAW method is widely used in various fields, including business, engineering, and healthcare, due to its simplicity and effectiveness.

The Internet of Things (IoT)

The IoT is a concept in which various devices and sensors can be connected and communicate via the internet in real-time. It enables the collection and analysis of data from various sources, providing valuable insights and information. The use of IoT technology can improve the accuracy and efficiency of the qurban goat selection process, by providing real-time data and analytics.

The Application of SAW and IoT in Qurban Goat Selection

In this study, the SAW method was applied to help the selection of qurban goats in accordance with Islamic law. The system uses IoT-based digital scales to measure the weight and health of the goats, and then applies the SAW method to evaluate and choose the best qurban goats. The use of IoT-based digital scales ensures the accuracy and validity of the data entered into the system.

Results

The results showed that the data entered into an IoT-based system can be integrated with the SAW method and effectively determines the feasibility of goats as sacrificial animals. In addition, data in the system has also been validated by farmers, thereby increasing confidence in the process of selecting qurban goats. The system has been proven to be effective in selecting the best qurban goats, based on predetermined criteria.

Conclusion

The application of the SAW method and IoT technology in the search for the best qurban goat not only facilitates the selection process, but also ensures that the choice is in accordance with the conditions of the Shari'a. This is very beneficial for Muslims, especially in maintaining the quality and suitability of the sacrificial animals that will be offered. This innovation shows that modern technology can be used to support religious traditions and values, creating harmony between innovation and local wisdom.

Recommendations

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

The use of IoT-based digital scales should be implemented in all qurban goat markets, to ensure the accuracy and validity of the data entered into the system.
The SAW method should be used as a decision making technique in the selection of qurban goats, to ensure that the choice is in accordance with the conditions of the Shari'a.
Further research should be conducted to explore the use of other decision making techniques, such as the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), in the selection of qurban goats.

Limitations

This study has several limitations, including:

The study was conducted in a single location, and the results may not be generalizable to other locations.
The study only used a limited number of criteria, and further research should be conducted to explore the use of other criteria, such as the animal's age and breed.
The study only used a limited number of participants, and further research should be conducted to explore the use of a larger sample size.

Future Research Directions

Future research should focus on the following areas:

The development of a mobile application that can be used to select qurban goats, based on the SAW method and IoT technology.
The use of other decision making techniques, such as the AHP and TOPSIS, in the selection of qurban goats.
The exploration of the use of other criteria, such as the animal's age and breed, in the selection of qurban goats.

Conclusion

In conclusion, the application of the SAW method and IoT technology in the search for the best qurban goat has been proven to be effective in selecting the best qurban goats, based on predetermined criteria. This innovation shows that modern technology can be used to support religious traditions and values, creating harmony between innovation and local wisdom.
Q&A: The Search for the Best Qurban Goat Based on Shari'a Using the Simple Additive Weighting (SAW) Method Based on IoT

Q: What is the qurban ritual and why is it important in Islam?

A: The qurban ritual is a significant event in the Islamic calendar, where Muslims sacrifice animals to demonstrate their devotion and gratitude to Allah. It is a way to show appreciation for the blessings of Allah and to seek forgiveness for past sins.

Q: Why is the selection of qurban animals important?

A: The selection of qurban animals is crucial, as it must meet the requirements set by Islamic law. In Islam, the qurban animal must be healthy, free from defects, and meet certain age and weight requirements.

Q: What is the Simple Additive Weighting (SAW) method and how is it used in the selection of qurban goats?

A: The SAW method is a decision making technique used to evaluate and choose alternatives based on predetermined criteria. In the selection of qurban goats, the SAW method is used to assign weights to each criterion, such as age, weight, and health, and then calculate the overall score of each goat.

Q: How does the Internet of Things (IoT) technology contribute to the selection of qurban goats?

A: The IoT technology enables the collection and analysis of data from various sources, providing valuable insights and information. In the selection of qurban goats, the IoT technology is used to measure the weight and health of the goats, and then apply the SAW method to evaluate and choose the best qurban goats.

Q: What are the benefits of using the SAW method and IoT technology in the selection of qurban goats?

A: The use of the SAW method and IoT technology in the selection of qurban goats has several benefits, including:

Improved accuracy and efficiency in the selection process
Increased confidence in the choice of qurban goats
Better alignment with Islamic law and tradition
Enhanced user experience and satisfaction

Q: How can the SAW method and IoT technology be applied in other areas of qurban goat selection?

A: The SAW method and IoT technology can be applied in other areas of qurban goat selection, such as:

The selection of qurban goats based on other criteria, such as age and breed
The use of other decision making techniques, such as the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)
The development of a mobile application that can be used to select qurban goats

Q: What are the limitations of the study and what are the future research directions?

A: The study has several limitations, including:

The study was conducted in a single location, and the results may not be generalizable to other locations
The study only used a limited number of criteria, and further research should be conducted to explore the use of other criteria
The study only used a limited number of participants, and further research should be conducted to explore the use of a larger sample size

Future research directions include:

The development of a mobile application that can be used to select qurban goats
The use of other decision making techniques, such as the AHP and TOPSIS
The exploration of the use of other criteria, such as the animal's age and breed

Q: What are the implications of the study for the qurban goat industry?

A: The study has several implications for the qurban goat industry, including:

The use of the SAW method and IoT technology can improve the accuracy and efficiency of the qurban goat selection process
The use of the SAW method and IoT technology can increase confidence in the choice of qurban goats
The use of the SAW method and IoT technology can enhance user experience and satisfaction

Q: What are the future directions for the qurban goat industry?

A: The future directions for the qurban goat industry include:

The development of a mobile application that can be used to select qurban goats
The use of other decision making techniques, such as the AHP and TOPSIS
The exploration of the use of other criteria, such as the animal's age and breed

Q: What are the recommendations for the qurban goat industry?

A: The recommendations for the qurban goat industry include:

The use of the SAW method and IoT technology in the selection of qurban goats
The development of a mobile application that can be used to select qurban goats
The use of other decision making techniques, such as the AHP and TOPSIS.