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This article aims to understand the development of fashion consumerism in the United Kingdom (UK) with the focus: why fast fashion consumerism in the last two decades was very high? This study applied a post-structuralism paradigm, namely the Libidinal Economy concept from Jean-Francois Lyotard and a post-modernism paradigm on the Consumer Society from Jean Baudrillard. The method employed in the article is a case study in the UK in the last two decades. Data were collected from scientific writings, documents, news, and advertisements in media. The results show that fashion consumerism in the UK dated back to the 18th century; it strengthened in the first two decades of the 21st century, driven by libidinal economic activities and facilitated massively by technological advancements in both marketing and trades. The ability of multinational fast fashion companies to utilize the mass media to construct the social status of its consumers and to create “hyper-reality” needed by modern people nowadays seemed to surpass the awareness of British clothing consumers regarding the environmental impacts and global imbalances of the fast fashion industry. In this study, the application of the post-structuralism paradigm clarifies the relationship between technology, mass media, the expansion of capitalism and the consumption of fast fashion in British society, whereas the post-modernism paradigm highlights socio-cultural aspects that encouraged the creation of hyper-reality through fast fashion among the British. These findings contribute to the knowledge about the relationship between technology, media, and multinational fast fashion companies with the development of consumer society in the UK.

Schizophrenia is classified as serious mental illness (SMI) due to its chronicity. Rumah Sakit Jiwa (RSJ) Aceh is the only referral mental hospital in Aceh Province. The number of inpatient visits in 2018 with a diagnosis of schizophrenia is 2,083 (96.12%). The average length of stay is 59.76 days. The purpose of this study was to determine the relationship between history of restraint and the length of stay (LOS) of schizophrenic patients in the Aceh Mental Hospital in 2018. This study uses quantitative method. Secondary data is collected from the medical records of patients returning home in 2018. The study population was all schizophrenic patients who returned in 2018, thus using the total sampling method. The study reveals that history of restraint influences the length of stay (LOS) of schizophrenic patients in Aceh Mental Hospital in 2018. The patients with restraint history was treated longer that the patients without restraint. Restraint exacerbates the clinical symptoms of Schizophrenia and causes physical abnormalities such as wasting in the extremities so that more time is needed in treatment. To avoid the severity of clinical symptoms, extremities deformation and the length of stay, stakeholders need to take strategic steps to eradicate restraint as a method in the handling of people with mental disorders at the community level.

Decision support systems with the fuzzy inference system method, especially Mamdani, have been widely applied in various fields of science. Fuzzy inference systems are able to map input output variables in the form of I/O surfaces. Characteristics of I/O surfaces in decision support systems can produce surfaces where the movement between values is continuous. In this study conducted an experiment on several scenarios and observed changes in the shape of the I/O surface. It turns out that the results obtained by I/O surface behavior are influenced by the number of linguistics in one variable, the number of input variables and the rules made.

This study compares between the Type-1 Fuzzy and Interval Type-2 Fuzzy in Decision Support System (DSS). The case studied in this paper deals with supplier selection for development of new product. DSS is developed to recommend a decision in providing assessment criteria for the supplier. Both of the systems used similar membership functions and rules. It is shown that Type-2 Fuzzy can manage the level of uncertainty in decision making. In general, both systems have a surface resemblance. The result indicates that Type-2 Fuzzy based on decision making with a level of uncertainty can provide alternative decisions although it took about 56 times longer than type-1