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Bandarejo Tofu Factory, Dusun 3 is an example of a micro-enterprise that has developed by utilizing local resources. From an Islamic economic perspective, the development of this business reflects the application of sharia principles, such as justice, social welfare, and sustainable resource management. Islamic economics emphasizes the balance between profit and fair distribution, and avoids detrimental practices, such as usury and monopoly. This factory plays a role in creating jobs and supporting the local economy by using soybean raw materials from local farmers. The production process that is in accordance with Islamic law makes this business meet the halal criteria, while its orientation towards social desires and responsibilities reflects the values ​​of Islamic economics. However, the main challenge faced is maintaining Islamic ethical principles, such as honesty in transactions and concern for worker welfare, amidst competitive economic competition. This study aims to analyze the dynamics of the development of the Bandarejo Tofu Factory, Dusun 3 from an Islamic economic perspective, in order to contribute to the development of micro-enterprises based on sharia values. This study uses a qualitative approach with primary data obtained through interviews and documentation. The main informant is the factory owner, Mrs. Atin. Data analysis techniques include data reduction, data presentation, and drawing conclusions. The results of the study indicate that the development of the Bandarejo Dusun 3 Tofu Factory has made a significant contribution to the community's economy through marketing and capital strategies. In addition to increasing economic income, this business also absorbs local workers and helps reduce poverty levels in the Bandarejo Dusun 3 area.

This research aims to determine the application of environmental cost accounting in the Super Jaya tofu factory industry.   This research uses qualitative methods. In this research, the data sources used are primary data and secondary data. The data collection technique uses observation, interviews and documentation. By conducting direct interviews with the owners of the Super Jaya tofu factory industry. The data analysis technique uses data collection, data reduction, data presentation, conclusions and data verification. The research results obtained from the application of environmental cost accounting are still not effective because they have not prepared financial reports and have not implemented cost accounting in presenting financial reports because the costs traced are only general costs related to the tofu production process. Such as raw material costs, labor costs, general capital costs and special capital costs, while the costs for waste management are only labor costs for the filtering section and environmental cleaning equipment costs.

Every company that carries out production activities needs a supply of raw materials. With the availability of raw materials, it is hoped that industrial companies can carry out the production process according to consumer demand. In addition, adequate supplies of raw materials in the warehouse are also expected to improve the smoothness of production or service to consumers, as well as prevent shortages of raw materials. This research aims to identify and analyze the inventory management of raw materials implemented by the National Tofu Factory. The research method used is descriptive, with analysis using the Economic Order Quantity (EOQ) method. The data collected is in the form of interview results as primary data. The results of the research show that the management of raw material inventory by the National Tofu Factory has not been optimal. Based on the EOQ calculation, the amount of existing raw material inventory is smaller than what is recommended by the EOQ method. Therefore, additional raw material supplies are needed to support the smooth production process. The National Tofu Factory is also advised to provide adequate warehouses to store raw material supplies, especially for soybeans, so that they can accommodate more raw materials and reduce ordering costs.

MSME Tofu Bu Ida is a processed tofu business located in Sengkan RT 07 RW 59 Njoho Depok, Sleman. Along with the development of MSME Tofu Bu Ida, which has long started a business since 1980, it turns out that these MSME are still found errors and product defects in every production process. The general problem in MSME Tofu Bu Ida is that there are defective production results and an undisciplined workforce. These problems certainly interfere with the production process and partially inhibit and reduce product quality. This research produces data containing several types of tofu damage accompanied by the amount of damage and corrective steps that can be taken to overcome the problem.The results of the analysis show that there is a lot of damage that occurs during the production process, therefore it is necessary to provide repairs to prevent damage from continuing. Improvement steps that can be taken are using a tofu cutter, using a press, increasing lighting, and establishing SOP.    

Tofu Prapto MSMEs are tofu producers who often experience quality problems in the tofu they produce. Based on the data obtained, it shows that the amount of tofu production is 8,400 pcs (100%) and product defects of 1,009 pcs (12%) that occur in Tofu Prapto MSMEs during September 2023.This research will be carried out an analysis of quality control of Tofu defective products in Tofu Prapto MSMEs using the Six Sigma method and Re-Layout Design. By implementing the six sigma method and Re-Layout Design, it is expected to identify defects and provide recommendations for improvement to MSMEs Tahu Prapto.The factor causing the highest defect in the type of dirty tofu defect is caused by there are stations that are too close together such as boiling stations too close to the filtering and printing station in the production process so that dust and dirt from burning wood fuel when The boiling process can stick to the filtering and printing process so that there needs to be a distance between work stations from each other. From the sigma calculation, the average DPMO value is 120119,048 with a sigma value of 2.68 from the sigma calculation results, it can be said that the sigma value is still far from the desired sigma value, which is 6.