One of crucial aspects in achieving a better level of sustainability in a country is the society’s responsible product consumption pattern, as descripted in The United Nations’ Sustainable Development Goals (SDGs). Inevitably, the dynamic interaction between consumers and products creates negative effects to the social and environmental dimension, including emissions from all the product’s life cycle phases. Among other products, the usage of private combustion engine vehicles in Indonesia is one of the highest emission producers and a highly fuel consuming product. While the exploitation of these vehicles for fulfilling basic needs is essential to increase the society’s quality of life, extended behaviour related to the vehicles may come from unimportant desire and endangers the dimensions of sustainability. This paper reveals the consumers’ problematic behaviour and their reasons, as a part of a sustainable design framework, by conducting survey and in-depth interview sessions. Subsequently, the data is analysed qualitatively using thematic analysis method. The results may address strategies for the manufacturers in designing future eco-friendly vehicles and also gives recommendations for other stakeholders in creating policies and educational programs for the society.
Manufacturing of sustainable products is on a high demand in order to attain a global responsible consumption and production pattern. Among the emerging efforts of various manufacturing companies, production of sustainable vehicles takes a special attention due to its massive impacts to the world’s sustainability dimensions. Meanwhile, youngsters in developing countries are interesting prospective customers for automotive products because their misterious characteristics and potential to contribute to the future sustainability. The research investigated the connectivities between automotive products sustainable designs and young customers purchase intention in Indonesia, using an experimental workshop. Empirical results have shown that each dimension has a significant effect to the youngsters’ preferences, although with different levels.
Processing chocolate from dried cocoa beans to become a ready-to-eat chocolate paste involves a long process, including separating the cocoa oil from the flour. The separation process is mechanized using a press machine with high pressure at a certain temperature level. However, a press machine deals with obstacles prone to failure and damage. This study aims to analyze the causes of the chocolate pressing machine's failure using hydraulic pressure and find alternative repair solutions. The cylinder of the machine press is made of stainless steel material and has a cylindrical geometry with a diameter of 23 mm and a tube length of 30 cm. Failure analysis is carried out by observing the machine's operating conditions, the procedure for its use, and the load imposed on the machine, including, in this case, the service life to date. Observations were also made on the form of failure, the type of damage, and each component's function. Thus, based on the data obtained and relates to the theoretical theory, the conditions that should occur are obtained. The study results showed that the damages occurred, such as press tube damage, deformed fins, clogged gaps between fins, worn support rods, corroded threads, worn and stiff seals, and bearing damage to rupture. More damage was caused by the tilted position of the machine so that it didn't move the flashlight anymore. The part of the machine must be repaired flat based on standard procedures operation and carry out periodic checks on machine components.
The concentration of PM2.5 in ambient air is one of the indicators of air quality that affects public health. This pollutant is considered hazardous due to its small size, which allows it to enter the lungs and remain suspended in the air for a considerable amount of time. Identifying the patterns of PM2.5 concentration distribution is important to recognize the influential factors in increasing PM2.5 concentrations, thus enabling better formulation of solutions. This study analyzed the patterns of PM2.5 concentrations in three ASEAN countries: Indonesia, Vietnam, and Thailand. Four randomly selected measurement locations were chosen in each country, with two locations in densely populated areas and two others in low-density areas. The sample data of PM2.5 concentrations were analyzed using nested factor analysis of variance, which allowed the relationship between the taken parameters, namely country, location, and population density classification, to be determined. The results revealed that all parameters had a significant influence on PM2.5 concentrations.
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