Vannamei shrimp (Litopenaeus vannamei) is a high-value export commodity with strong demand in local and international markets. This shrimp species excels due to its adaptability, disease resistance, and delicious taste. However, white feces disease poses a serious threat, affecting the shrimp's digestive system, appetite, and growth. To prevent this, the recirculating aquaculture system (RAS) technology is a crucial innovation. This system maintains water quality and oxygen levels through continuous water and oxygen circulation, ensuring the health and productivity of vannamei shrimp.

The purpose of this article is to analyze the treatment of foreign exchange differences and foreign currency transactions at PT FKS Food Sejahtera. At PT FKS Food Sejahtera, exchange rate differences and foreign currency transactions arise from overseas subsidiaries, loans, export sales, and various costs of the company's main purchases. The method used in this research is qualitative research, where PT FKS Food Sejahtera is the object of research. Information and data collection were obtained from literature studies and previous articles related to this topic, as well as PT FKS Food Sejahtera data taken from the annual report of PT FKS Food Sejahtera. The results showed that the treatment of foreign exchange differences and transactions in foreign currencies carried out by PT FKS Food Sejahtera was in accordance with the current PSAK.

This community service aims to improve the quality of goat farming in Semarang City, especially at Ciliwung Farm. This activity focuses on two main aspects, namely building design development training and management training. Building design training emphasizes designing pens that meet goat health, comfort and productivity standards. Aspects such as ventilation, lighting, materials and cage layout are the main focus in this training. Meanwhile, management training is aimed at improving farmers' skills in managing the sales and marketing of goat products. Training materials cover marketing strategies, product development and financial management. It is hoped that through this activity, farmers at Ciliwung Farm can improve the quality of their products, expand their marketing network, and ultimately increase their income. The results of this community service show an increase in the knowledge and skills of breeders in designing good pens and managing goat farming businesses more effectively.

Demand and supply are fundamental concepts in microeconomics that influence market decisions. This article aims to explore the application of mathematical models in explaining the interaction between demand and supply in the market for goods and services. Through an economic mathematics approach, we analyze the demand and supply functions, as well as the application of market equilibrium using calculus techniques and function analysis. The proposed mathematical model focuses on how price and quantity are determined in competitive markets, along with the impact of external factors such as consumer income, related goods prices, and production costs. This study also examines applications in economic policy-making to balance the market.

This study aims to examine the impact of a 6-phase design using an asymmetrical dual
3-phase design on the torque and speed of an induction motor, where the newly designed motor still uses a 3-phase power source. The research compares the performance of a conventional 3-phase induction motor with that of an asymmetrical 6-phase induction motor design, focusing on torque and speed. This motor is only designed in terms of its windings, so the motor's position remains unchanged. The 3-phase system applied to the 6-phase induction motor design ensures that the 6-phase motor operates within a 3-phase system. The study also explores performance improvements, particularly in torque and speed, by redesigning the windings of a 3-phase induction motor into an asymmetrical 6-phase motor.
The induction motor used in this research has the following specifications: 3-phase, 2 A, 1390 RPM, 50Hz, 0.75 kW, and 380Y. The study aims to understand the effects of the asymmetrical 6-phase induction motor design, particularly regarding torque and speed. The results show that the torque and speed of the two motors differ due to the asymmetrical 6-phase winding design. In a conventional 3-phase induction motor, the winding coil layer distance is 120°, whereas, in the asymmetrical 6-phase induction motor, the distance between the first and second layers is 30°. Based on this analysis, the asymmetrical 6-phase induction motor design demonstrates better performance compared to the conventional 3-phase induction motor.

 
Utilization of new renewable energy is a solution to meet the increasing electricity demand, one of which is solar power generation technology. Solar panels are a renewable power generator that is environmentally friendly. The relatively low and unstable output voltage of PV is affected by solar irradiation, which becomes a constraint. Therefore, by utilizing a boost converter, the solar panel system is able to work 25% more optimally compared to without using a boost converter. The performance of solar panels when using a boost converter is around 83.3% and without using it, the performance is only about 58.3%. The average output power when using the boost converter is 1,521 W, whereas without using the boost converter, the average output power is 1,172 W. This indicates that the output power is more stable when using the boost converter compared to not using it. This research focuses on a boost converter with PID control as a support, optimizer, and voltage stabilizer where the output power on the solar panel is expected to be more optimal and the output from the solar panel is more stable with more optimal results in various conditions. In this study, 12 solar panels of 125 WP with a capacity of 1.5 KW are used in series-parallel to obtain the required power. If the output from the solar panel is insufficient due to weather conditions, the voltage will be increased by the boost converter towards the inverter so that the voltage remains stable into the inverter with the boost converter. This boost converter uses PID control to keep the output voltage stable.
 

Hydroponic plant cultivation is booming, but stock and sales are hard to predict. Poor prediction can cause farmers to overstock and lose money. This study suggests a framework that uses several machine learning models, including Linear Regression (LR), Random Forest (RF), Decision Tree (DT), and Extreme Gradient Boosting. "Ensemble Learning," which combines these models, should yield more accurate and generalizable results than a single model. This framework is assessed using historical hydroponic plant sales data and related factors like price, weather, and market trends. The model's performance is measured by the difference between predictions and actual values using RMSE and MAE metrics. This framework should improve hydroponic plant stock and sales predictions. Farmers can make better production, inventory, and harvest distribution decisions. Besides reducing financial losses, this reduces food waste and improves food security.

The research aims to find out whether market place moderate lifestyle and price on purchasing decisions in conventional markets. The sample used was 88 respondents, obtained using google from in 2023. Analysis used smart PLS with outer and inner model. The results obtained show that lifestyle and price influence purchasing decisions in conventional markets, market place moderates the relationship between lifestyle and purchasing decisions in conventional markets and market place cannot moderate the relationship between price and purchasing decisions in conventional markets.

The purpose of this study was to determine corporate governance, profitability, leverage, company size and gender diversity on earnings management in automotive sector companies listed on the Indonesia Stock Exchange for the period 2020-203. This study uses secondary data, namely the annual financial statements of automotive sector companies listed on the IDX for the period 2020-2023. The sampling criteria used purposive sampling method and resulted in a research sample of 36 data. This research is quantitative research. The analysis in this study uses multiple linear regression analysis method using SPSS (Statistical Production Service Solution) software version 25. The results of this study indicate that the variables of the Independent Board of Commissioners and Leverage partially affect earnings management. Meanwhile, Institutional Ownership, ROA, Company Size, and Gender Diversity have no partial effect on earnings management. Meanwhile, the variables of the Independent Board of Commissioners, Institutional Ownership, ROA, Leverage, Company Size, and Gender Diversity simultaneously affect earnings management.

There have been many challenges in cigarette companies in recent years, including a decline in sales due to COVID-19, as well as government policies regarding excise and taxes which have triggered profit management in companies. The aim of this research is to find out how company size and financial difficulties affect earnings management. This research method uses quantitative methods with multiple linear regression analysis. The results of the analysis showed that there were symptoms of multicollinearity and autocorrelation in the regression model, but no symptoms of heteroscedasticity were found. The conclusion of this research is that financial distress and company size have an influence on earnings management of cigarette sub-sector companies on the IDX. The independent variable does not have a significant effect on the dependent variable when viewed partially, but has an effect simultaneously. Suggestions for further research are to expand the scope of the variables studied.