Garbage is an item that we encounter every day and often causes problems. Based on statistical data from the 2020 National Waste Management Information System, in the City of Yogyakarta the highest percentage of waste by type is organic waste consisting of food waste with a percentage of 50.21%. One of the problems that must be addressed is the presence of waste mixed with other types of waste, this is due to the lack of public awareness and knowledge in sorting waste. Therefore, appropriate treatment is needed to overcome these problems. Smart Trash Can is a smart trash can that detects types of waste consisting of organic, inorganic, and metal waste. One of the containers can be opened and pushed by the drive according to the information received from the sensor. This trash can product will also display the type of waste detected through the LCD, so that it can educate users regarding the type of waste. This product is made using strong iron material and can accommodate 5 kg of waste in each container. To open the container used an actuator. Another feature is a hand sanitizer box that also uses sensors, so when the user's hand is detected by a sensor, the box will issue a hand sanitizer. The method used is PDCA (Plan, Do, Check, Action). This trash can is expected not only to encourage innovation in industry and technology, but also to increase public awareness and knowledge about environmentally waste management as an effort to support the global action plan for Sustainable Development Goals (SDGs).
Good posture can be an indicator of increased work productivity. This study was conducted to analyze work posture and to determine the level of risk of the upper body posture when working as a cashier at a QRS pharmacy. The research method is used in determining the object of research, collecting data, processing data, analyzing, and providing recommendations. Data processing and analysis techniques are Rapid Upper Limb Assessment (RULA) and Quick Exposure Checklist (QEC) using ErgoFellow software. The results showed that the operator's risk level worked in the medium risk classification with a final score of 5 and the exposure score of 60.49% or in the classification investigated further and changed soon. Work posture recommendations for operators can be supported by redesigning tools on chairs and tables so that they are more comfortable to use and doing stretching every certain unit of time.
Monte Carlo simulations are used to model the probability of different outcomes in a process that cannot easily be predicted due to the intervention of random variables. In this case, Monte Carlo develops several policies to optimize income costs at Hani Cake & Bakery. Hani Cake & Bakery have a problem with bread demand. Sometimes, demand is low that will pile up bread stock while causing the remaining bread to expire, and sometimes the demand is high, causing the bread stock not to meet customer demand. These problems will have an impact on income costs. In this simulation, the input data needed are cake supply, demand, and sweetbread return data in Hani Cake & Bakery, which will later determine the expired rate.The simulation obtained 30 replications with an expiration rate of 119 bread with an inventory cost of Rp. 413.000. The next policy will be determined by making a new policy in scenarios 1 and 2 by reducing the supply level by 20% and 35%. These results obtained a policy that can be applied to Hani Cake & Bakery with a benchmark of income costs.
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