: This research aims to develop the higher security system at university’s computer laboratory room. The system integrated of EAS, Arduino and 3G module (UC15-T) in box which is created to notify for better security system. Arduino microcontroller that are using as preliminary stand-alone box, then we program to control this device to send the notification to laboratory administrator via short message service. The EAS used RFID tag as trigger to detect person to bring the RFID which attached to the valuable things across the EAS pole. Then the Arduino detect the signal from the EAS system if one of any RFID tags across the pole mean stealing occurs, then the Arduino will order the 3G module (UC15-T) to send the short message to notify laboratory administrator. The system is well performed, reliable, and give us with impressive results
: The objective of this article was to determine the factors that affect the% sucrose during the process of making sugar cane panela (Saccharumofficinarum). The sugarcane material used corresponded to variety V 78-1, harvested at the optimal time of maturity for the production of panela, using a fractional factorial design6-1, considering 32 observations, where the effect of 6 factors on the % sucrose: purity, investment time, cooling time, ° Brix, vacuum pressure and cooking temperature; applying the analysis of variance using the statistical program R. A significant effect (p≤0.05) of the purity and ° Brix factors was found, in addition to the interactions purity * ° Brix, inversion time * ° Brix and purity * pressure cooling vacuum; selecting the factors purity, investment time, ° Brix and vacuum pressure, as the predominant ones in the process of making panela from sugar cane. The application of the 2K-1 fractional factorial design allowed the selection of the factors purity, investment time, ° Brix and cooling vacuum pressure, from the total of factors initially addressed, which affect the% sucrose of sugar cane panela. sugar; In this way, it is proposed to consider these 4 factors when seeking to standardize the sucrose content in the final product and thus guarantee its quality, to reach higher value markets.
: The main goal of this study is identifying the perceptions and experiences of Saudis with the adoption of internet banking services. While most of the available literature centers on the Western context, some studies have focused on an Eastern context. The research applied a qualitative design to investigate the phenomenon. Purposeful sampling was used to select 57 participants, among whom were 12 middle-level bank managers from IT and sales departments and 45 customers associated with three banks - Saudi British Bank (SABB), Riyad Bank and Bank Saudi Fransi. Only 30 participants were available during the period that the research was conducted. They were interviewed and thematic analysis was used to analyze the textual data from the interview responses. The themes that arose were trust, privacy, complexity, and infrastructure. This study concludes that there is a need to train bank employees and enlighten the population on the benefits of internet banking.
Job turnover is a serious problem. This is related to high labor turnover. Job turnover becomes a problem for companies when employees who have a good performance leave the company. The negative consequences that are felt due to work shifts in the company are the quality and ability to replace employees who leave, so it takes time and new costs to recruit new employees. This research is to see the concept of work displacement or not, both in hotels with the same or equal stars or hotels with higher levels. The purpose of this study was to test and analyze empirically the effect of respondent identity on the work shift of hotel workers in Palembang City. This study examines several determinant variables of work turnover at a hotel in Palembang City. The object of research is hotel employees with star rating. The research sample was 470 respondents. Sampling was done by purposive method. The analysis technique used is the Binary Logit model. The results showed that there was an influence of the respondent's identity variables, namely age, gender, ethnicity-religion, marital status, number of dependents, employment status, current position, hotel classification, which simultaneously affected employee turnover. This also shows that simultaneously there is a significant influence on the identity of the respondent on job changes, while the rest is influenced by other variables not examined in this study
: Kawa beverage is a Kerinci traditional drink made of dried coffee leaves. The purpose of this study is to find out the scientific values and attitudes by reconstructing the original knowledge of the community in the processing of Kawa beverage. The research method used is the phenomenological method with a qualitative descriptive approach. Data collection was carried out by means of observation, interviews and documentation. The data obtained were analyzed by describing, inventorying, then constructing original knowledge and scientific knowledge at the stage of the processing of Kawa beverage which consisted of six stages, namely collection, drying, baking, packaging, mixing and serving. The results showed that the processing of Kawa beverage was carried out in the traditional way based on knowledge transmition. Based on the stages of the process of the kawa beverage found educational values and scientific attitudes in terms of ethnopedagogy namely: hard work, creative, disciplined, honest, communicative, social care and responsibility and produce a new conceptual scientific thinking.
: There are many real factors that may affect the share price in the stock exchange, and these factors are of interest to investors, given that the stock market is one of the main markets for investment and profit making. Supply and demand are a major factor in determining the share price. The supply and demand for the stock is affected by several different factors, most notably: corporate finance and performance, the current economic situation, the extent of political stability and market trends. There are other factors which are not related to the companies' performance or the state of the economy etc., but which affect the stock price on the stock exchange. One of these factors is the false news that is promoted with the aim of influencing the stock prices, negatively or positively. False news can lead investors to make decisions that involve significant investment risk. The accuracy of predicting the stock trend in the stock exchange is very important as it helps to spare investors the investment risk. Predicting stock prices is very important for investors seeking to maximize the return on investment in stocks. Predicting price trends in the stock market is extremely difficult due to the nature of the market causing rapid and sometimes intense fluctuations, which complicates the predicting process. This paper aims to build an appropriate model to get rid of the impact of false news to predict stock trends in the stock market in a way that contributes to reducing the risks of high investment in the stock market. The paper uses machine learning algorithms for the purpose of detecting false news, analyzing sentiments related to financial news, and analyzing financial data of the stock market using different mining tools and machine learning models in a way that leads to better performance of the predicting model. Linear regression achieved the best results with the proposed model as it reached the highest accuracy level for predicting stock price trends of 92.74%.
This study is offered to an attempt to a glaring problem of the influential role of professional learning communities on teachers’ performance. The study investigates how far PLCs promote teachers’ collaboration at Qatari schools that reflects positively on students’ outcome in their academic achievement. professional learning communities programs at Qatari schools need reformation due to the lack of norms , trust and communication. The study is based on clarifying the professional learning communities related to teaching-learning collaboratively .The study adopts descriptive-analytical method. The questionnaire is employed as a tool to gather the data. The participants were eighty one (81) teachers who teach different curriculums ,are distributed in Qatari preparatory schools in the state of Qatar. The author figured out that PLCs have more advantages for teachers’ performance at schools than being mandated. Teachers’ collaboration with a focus on assessment is more highly associated with students achievement. Also , The study has figured out teachers are struggling to take apart in the professional learning communities sessions at schools for the sake of school administrators to attend mandatory. The psychological factor of transmitting teachers to other schools causes dysfunction of norm , trust and communication unless the school administrators and academic representatives support and enhance professional learning communities at schools. Index Terms : collaborative culture, dysfunctions of PLCs, Lack of norms, PLCs , students achievement , teachers collaboration , teacher performance —————————— ——————————
Dunaliella sp. is one type of green microalgae that can be used as natural feed because it is easy to digest. Inmixotrophic culture, microalgae in their growth carry outthe process of photosynthesis and use organiccarbon nutrients to produce energy. Choice of organiccarbon sources for growing Dunaliella sp. namelyusing waste cassava. The organic carbon content in wastecassava is still very complex, so that Dunaliella sp.for its growth, it can be done by breaking downcarbohydrates into simple glucose using hydrolysis withthe addition of ï¡-amylase and glucoamylase enzymes. The purpose of this study was to explain the effectof giving waste cassava hydrolyzate under Mixotrophic conditions to the protein and beta carotene contentof Dunaliella sp. The results showed that the administration of glucose organic carbon from different wastecassava under mixotrophic conditions had a significanteffect on the protein and beta carotene content ofDunaliella sp. The best glucose concentration of 0.30 g/lresulted in 34.69% protein content and 19.84 g/mlbeta carotene.
: Healthcare of citizens is the prime concern of all the countries. For this purpose, healthcare systems are used to provide timely access to the medical data of patients. Processing medical data poses many challenges at the technical, organizational and user levels such as interoperability, standardization, regulation, security, and usability which are the most critical issues. Many frameworks and platforms are being developed to provide error-free access to medical data ensuring security and legalization compliance. However, still the realization of technical interoperability in medical device regulation are not handled within the same architectural solutions. The proposed Healthcare Hub Platform presents an architectural solution to meet this challenge. We rely on the most recent cloud infrastructure for implementation of server-side systems and use web apps and mobile apps for organizations and individuals, respectively. The main objective is to involve the citizens in healthcare monitoring along with the healthcare professionals through the technical solution of well-established technological foundations.
