The objectives of this paper are to analyze the implementation and architecture of the Internet of Things (IoT) from previous studies, specifically in the world of higher education; offer recommendations for future research, as well as strengthen the theory of IoT architecture that already exists in higher education. This study employed a systematic literature review (SLR) with data collection utilizing Funnel Diagrams to select articles based on their relevance to the research question. The three publisher databases (Scopus, Emerald, and EBSCO) and index journals were utilized in the search for articles. A total of 1,200 articles were gathered from these three sources, with distributions of up to 800 in Scopus, 150 in Emerald, and 250 in EBSCO. The findings demonstrate that the existing IoT architecture has a more sophisticated model than the fundamental idea, which has three layers, implying that using IoT in education may have a significant influence on user convenience. This is due to the increasingly complicated requirements of higher education's many business procedures. This study serves as an inspiration and reference for future research for higher education institutions that include the Internet of Things in their implementation to build an efficient teaching and learning environment.
This study aims to develop strategic marketing plan for the artificial flower bouquet business in Bandung City. The method used in this study was qualitative analysis descriptive through marketing mix 4Ps theory and Porters five competitive forces theory. The result of the research produced strategic marketing plan for all marketing mix 4Ps aspects such as product, price, place, and promotion. The resulting strategic marketing plan becomes more focused because it is produced on the basis of Porters five competitive forces. This research can be helpful for the business owner especially to take right strategic marketing plan.
The purpose of this research is to give an advice related to the transportation inspection by using a decision support system. Literature study, observation, system design, and system testing were used as methods in this research. With this method, we can create a system that can support the decision of the rhamp check officer to determine the proper transportation to operate. The result of this research is obtaining the data about the criteria used as a reference in making decisions about the feasibility of vehicle operations. The creation of a decision support system is very important because it can provide an accurate picture of the condition of a vehicle based on the results of a check rhamp as a decision support for choosing road-worthy transportation. From this problem the author want to create a system that name is “Decision Support System Public Transport Feasibility”
This study aims to find out how the description of collateral assets and stock prices in the Basic and Chemical Industry companies listed on the Indonesia Stock Exchange for the period 2012-2016, and how the influence of collateral assets on stock prices in Basic and Chemical Industry companies listed on the Indonesia Stock Exchange period 2012-2016. The factors tested in this study are collateral assets as independent variables, while stock prices as the dependent variable. The research method used in this research is descriptive and verification method. The population in this study are basic industrial and chemical companies listed on the Indonesia Stock Exchange from 2012 to 2016, totaling 70 companies. The sampling technique used in this study is nonprobability sampling with a purposive sampling method so that the number of samples is 41 companies. The data analysis used in this study is multiple linear regression analysis at a significance level of 5%. The program used in analyzing data using Eviews 9. The results showed that collateral assets tended to increase, but stock prices tended to decline. In addition, the results of the study also show that collateral assets affect stock prices. The magnitude of the influence of collateral assets in giving contributions to the effect of the stock price of 8.3%.
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