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This study aims to determine the ideal stocking density of catfish using the triple integral method. This mathematical method is applied to accurately calculate the volume of the cultivation pond and analyze the stocking amount and biomass projection at three different density levels, namely 50, 75, and 100 fish/m³. The calculation of the volume of the pond measuring 27 m x 11 m x 1.5 m produces a value of 445.5 m³. Based on the integral calculation, the optimal stocking amount is 22,275 fish, 33,413 fish, and 44,550 fish for each density, with the final biomass projection reaching 300.7 kg, 451.1 kg, and 600.4 kg, respectively. The analysis shows that the density of 100 fish/m³ produces the highest biomass, but its application must consider technical factors such as water quality, oxygen availability, and food competition. This method provides a solid and practical mathematical foundation for more efficient, scalable, and sustainable aquaculture planning.

Renewable energy is non-fossil energy that can be renewed and managed sustainably, such as solar, wind, water, and biomass. To overcome dependence on weather conditions, this energy can be combined with alternative energy sources such as piezoelectric sensors, which can convert pressure into electrical energy. This study aims to design a prototype monitoring system for hybrid electric energy using solar panels, wind turbines, and piezoelectric elements as alternative energy sources on board ships. The use of Internet of Things (IoT) technology is key to monitoring and managing these energy sources in real-time and automatically through integrated sensors and software. This research uses the Research and Development (R&D) method by creating a prototype that combines solar panels, wind turbines, and piezoelectric components as energy sources and designing a monitoring system based on the Internet of Things (IoT) using the Kodular application. Several system components were tested through two types of testing: static and dynamic testing. The test results showed that the solar panel had the most stable performance with a voltage of approximately 16.50V and a current of 2.41A occurring between 13:00 and 16:00 WIB. The wind turbine was able to operate at low wind speeds and reached its highest voltage of 3.63V and current of 1.14A on the fifth day at 20:00 WIB with a wind speed of 1.1 knots. The piezoelectric system generated power according to the pressure and frequency of footstep impacts. The highest voltage recorded for a 70kg subject was 4.11V with a current of 0.19A. This hybrid system has the potential to be an environmentally friendly energy support solution on board ships.

Oil and gas industry activities have the potential to produce high carbon emissions, so Green Open Space (RTH) is needed as an effort to mitigate environmental impacts. Shrub vegetation that grows in RTH areas requires routine maintenance, but this process produces vegetation waste that has not been studied quantitatively. This study aims to analyze the generation of shrub vegetation waste using a sampling method as a basis for sustainable waste management planning. The method used is sampling on a 1 m³ cube-shaped plot in three locations with different vegetation characteristics. Cutting is done manually using simple tools, then the waste produced is put into a measuring box to calculate its volume. The results show that sample point 1 produces 1.00 m³, sample point 2 is 0.50 m³, and sample point 3 is 0.30 m³. The average volume of shrub waste generation is 0.60 m³ per square meter. This data is important for planning the capacity of equipment, labor, and temporary waste disposal locations. In addition, the characteristics of waste that is easy to dry and has a high organic content opens up the potential for reuse as compost or biomass. This method has proven to be effective and efficient in supporting environmentally friendly vegetation waste management strategies as well as part of compliance with environmental regulations such as PROPER.    

This study analyzes integrated modeling for renewable energy development in Gorontalo Province, Indonesia, focusing on enhancing sustainable energy systems. The projection for renewable energy usage is expected to reach 23% by 2025. This research identifies various challenges, including dependence on fossil fuels and energy shortages due to inadequate infrastructure. The study employs a quantitative descriptive approach and dynamic system modeling to evaluate the potential of renewable energy sources such as solar, wind, and biomass. The findings indicate that strategic interventions can significantly increase the penetration of renewable energy from 1-2% to 30-40% by 2040, while also reducing carbon emissions and improving energy security. The implications of this research highlight the importance of supportive policies and investments in renewable energy technologies to achieve a sustainable energy transition.