Fig 4 - uploaded by Monika Stępień
Content may be subject to copyright.
The reasons for why young people do not segregate waste  

The reasons for why young people do not segregate waste  

Source publication
Article
Full-text available
The aim of the paragraph was to study young people's awareness on waste management; their attitude towards the amendment of statute on cleanliness and order in municipalities which is coming into effect now; and people's attitude towards waste segregation. The analysis showed that young people do not have sufficient knowledge about waste segregatio...

Similar publications

Article
Full-text available
The paper proposes a method for dry separation of enrichment waste (tailings) of Kursk Magnetic Anomaly. A dry scheme for enrichment waste processing is suggested. The work suggests a design of the separator to fractionate the enrichment tailings of a metallurgical plant into quartz sand and iron-containing components to reduce the environmental im...
Article
Full-text available
Perceived stress at work is an important risk factor that affects the mental and physical health of workers. This study aims to determine the prevalence and factors associated with perceived stress in the informal electronic and electrical equipment waste processing sector in French-speaking West Africa. From 14 to 21 November 2019, a cross-section...
Article
Full-text available
Screening polyethylene synthetic plastic degrading-bacteria from soil sample has been conducted. Soil samples that been used in this research taken from The Final Waste Process Area, Padang City, West Sumatra, Indonesia. The purpose of this research is to know bacterial isolates that have potential to degrading polyethylene synthetic plastic. Soil...
Article
Full-text available
In the paper, the methods of reused yarn processing are analyzed, considering the issue of maintenance reliability of the proposed auxiliary equipment for garment and knitting production waste processing. The estimation of implementation possibility is given for the developed technology by means of introduction of oiling device at the stage of yarn...
Thesis
Full-text available
There is a large excess of organic landfill waste both from urban waste, but also from agricultural production of fruits and vegetables. Converting this estimated 50% of crop biomass composed of soft fibre material via insects into fish and poultry food supplements requires automation of insect waste processing. There appeared to be many potential...

Citations

... Waste segregation at the source, household-level, plays an important role in individual waste management. Environmental knowledge and the ability to distinguish between different waste streams is essential to preventing ecological concerns and waste management problems, which can have substantial effects in poor nations (Stepien et al., 2013;Vassanadumrongdee & Kittipongvises, 2018). ...
... Littering behavior can be influenced by the influence of the subconscious and habit. Littering may become a person's "default" disposal behavior since so many people do the same thing over and over again (Oluyinka, 2011;Schultz et al., 2011;Stepien et al., 2013). ...
Research
Full-text available
Public littering has become an ongoing problem, especially in Thailand. Littering is caused by the human behavior of disposing of waste improperly. A key influence on littering is a sense of responsibility depending on internal feelings, beliefs, and morality to their societal experiences, which are generated by biological processes, primarily within their brain functions. The research rationale aimed to study the empathetic process of human beings related to mirror neuron morality (MNM). Interestingly, if this research knows how to develop moral awareness and readiness of waste management, this study revealed that a short video clip was one activator for the MNM. The evidence in this study confirmed that the MNM could be activated by watching the one minute of video affective and somatic empathy with silent speech and human movement, which can effectively activate the MNM in terms of cognitive empathy and readiness to act. Furthermore, in this study, habitual activities such as brain exercise were practiced in waste segregation at home could induce the mirror neurons activation of the self- engagement index, which is consisted of selfless behavior or altruism prompted by many vicarious learning cycles and want to act as self-moral readiness. However, to create an effective moral development, further dimensions of the real action of waste segregation are required, such as public engagement by providing the different levels of public responses, environmental actions are taken, and environmental policies after watching the valuable information.
Article
Full-text available
Employees are valuable asset in an organization. The organization can be defined as two types namely a profit or nonprofit company, and government institution. Employees as a capital human for these organization have big roles for performance measurement. Performance measurement of employee is used to determine whether the worker has been working efficient or not. Workload analysis is defined as analysis of a set or number of activities that must be completed by an organizational unit or position holder within a certain period of time. In this research, it will show employee workload analysis using two approaches in order to complete each other. Firstly, work sampling method was used to determine workload in physically. Secondly, NASA-TLX was utilized to analyze workload in mentally. Pareto method will also take a part for analysis the research result to be more comprehensive. This research has conducted in an East Java’s University-Indonesia. The respondents are employees who have each job description to do their work in each position. The employee’s workload will be calculated both physical and mental. From 25 position observed, show the job position who has strategic characteristic mostly have very high mental workload whereas the job position who has operational characteristic mostly have high physical workload