Human resources are the driving force of animal husbandry in Indonesia, because the role of human resources is important and aligned with qualified work skills will create sustainable dairy farms. This Literature Review aims to examine the effect of increasing productivity and sustainability of dairy farms through optimizing human resource management. This study used a systematic review method. After collecting information from 13 SINTA accredited journals and SCOPUS indexed journals, it was found that optimizing human resource management plays an important role in realizing productivity and sustainability of dairy cows, as found in this literature review that empowering farmers by providing training, knowledge and skills is a key factor in increasing production yields that support business sustainability.

The main issue faced by BSI Farm is the suboptimal quality control at each stage of hydroponic kale production, resulting in inconsistent product quality. This study aims to analyze the quality of hydroponic kale products at BSI Farm using the input-process-output (IPO) approach. The analysis covers all stages of production, from the selection of superior seeds, nutrient and water management, cultivation using the NFT (Nutrient Film Technique) system, to harvesting and packaging. The results show that the implementation of strict quality control at each stage successfully produces fresh, clean, pesticide-free kale that meets modern market standards. Production waste is managed through a grading system and utilized as animal feed to minimize environmental impact. The main challenges include pest attacks, plant diseases, and inconsistent harvests due to a lack of standardized procedures. However, these can be addressed through regular monitoring, appropriate use of pesticides and fungicides, and consistent implementation of cultivation SOPs.

Osha Snack UMKM faces issues related to product defects, which are suspected to arise due to a lack of quality control in the production process. This study aims to identify the causes of product defects, provide improvement suggestions, and determine effective ways to control product quality. Data were collected through interviews with relevant parties and field surveys to gather information on production volume, product defects, and production activities. The data were processed by organizing it into check sheets, performing regression calculations, and analyzing it using scatter diagrams and fishbone analysis. The Statistical Process Control (SPC) method was applied to analyze, control, and improve the production process. The results show a significant relationship between production volume and the number of defective products, with the regression equation Y = 0.0764X and a coefficient of determination R² = 0.9625. The most common type of defect is broken snacks before packaging. In addition, waste products also come from product returns by buyers, which leads to raw material waste and hinders the achievement of production targets. The analysis results suggest that the UMKM should implement quality control measures in the form of process improvements, enhancement of work skills, proper machine maintenance, implementation of SOPs, and improvement of working conditions.