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                <text>Accepted: 4 November 2022 The current global issue of the COVID-19 pandemic has prompted the push and utilization of all available means to halt its spread. COVID-19 is a highly infectious disease, and continuously monitoring early symptoms could help avert catastrophic devastation. This paper proposes an innovative use of the Internet of Things (IoT) enabled system to efficiently and effectively detect early COVID-19 signs at a relatively low cost. This study adopted an experimental approach in designing and constructing a low-cost hardware system using a Wi-Fi enabled microcontroller, a temperature sensor, and a heart rate sensor for students. The proposed system detected and distinguished normal and abnormal temperature, regular and irregular heartbeat and constantly displayed the student's status in a mobile application. Consistent tests proved that the developed IoT-enabled system was reliable, responsive, and cost-effective. The mass production of this device will aid in the early detection of the disease, thereby mitigating the spread among students, particularly in underdeveloped countries. The paper's merit stems from the microcontroller's intelligence programming and the sensor's operation via the mobile application, which enables low-cost early identification of abnormal temperature and heartbeat irregularities.</text>
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                <text>Distributed generation presents the potential solution to the power deficit problem faced in developing counties by encouraging local generation with renewable energy resources that are abundantly available in some part of the world, especially in Ghana. Distributed generations on the other hand are closely linked to Smart Grid (SG) that uses information technology to manage electricity networks. A plethora of problems relating to safety, reliability and affordability of Smart grid solutions remains challenging today. In Africa, especially in Ghana, the adoption of smart grid has been very slow, poorly managed, and almost inexistent in some countries despite the crucial need for electricity provision. This slow adoption can be attributed to many limiting factors that demand a thorough investigation. This paper aims at investigating the barriers to the adoption of smart grids in Africa and also develops and evaluates …</text>
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                <text>Pengaruh pelaksanaan bauran pemasaran terhadap proses keputusan pembelian konsumen pada jamu di Banda Aceh</text>
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                <text>An effective marketing program collects all of elemen of the marketing mix into one cohesive program designed o obtain a company’s terget in order to determine the company’s position towards competition, in order to win consumers as a target market facing such reality, compnies are required to be able to devlop an active marketing policy and always follow technological and economical developments. The aim of this study is to (1) analyze the affect of marketing mix on the purchasing decision of consumers in the jamu industry in Banda Aceh (2) Knowing what type of the marketing mix element most effect consumers buying the decisions in the jamu industry in Banda Aceh. The object of the study on independent variable: product, price, promotion and place. There are 2 methods pf study used, namely th descriptive and verivication methods. The sample in this study consist of 225 jamu industry consumers scattrd through 3 (three) distric in Banda Aceh. The methods of data collection is documentation, interview and quistionnaries while the data analysis methods is the descriptive and paet analysis. The results of this study indicate that the elements of the marketing mix simultaneously affect the consumers buying decision positively and partyaly indicate that the product, price, price and promotion element have a positive affect, while the place (location) element has a negative effect. At the same time th marketing mix involving product, price and promotion significantly affect th buyin decision of jamu industry products in Banda Aceh. The most dominant variable the decision of consumers is th promotion variable, which an be as high as 28, 60%.</text>
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                <text>Age and gender as predictors of academic achievement of college mathematics and science students</text>
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                <text>R Bada Abubakar, O Dokubo Oguguo</text>
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                <text>This study examined the correlates between age and gender on academic achievement (CGPA) of Mathematics and Science students. The study used three hundred and thirty-two (332) students; two hundred and twenty-three (223) females and one hundred and nine (109) males. Scatter-plot, mean and Standard deviation were used for the descriptive statistics while univariate analysis of variance (ANOVA) and multiple regression were used for the inferential statistics. Z-test was used to test the null hypothesis formulated (P&lt; 0.05). Result revealed a linear relationship between, age-CGPA and gender–CGPA. A low positive correlation coefficients was obtained for ages and gender (r= 0.030 and 0.111) which significant. The predictor variables jointly accounted for 1.3% of the variance, gender was the better predictor. The null hypothesis tested was accepted implying no significant gender difference in academic achievement of the students. It was suggested that some more variables be included so as to determine significant contributory effect of students academic achievement of Mathematics students.</text>
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                <text>Age and gender as determinants of academic achievements in college mathematics</text>
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                <text>R Bada Abubakar, Ibrahim Adegboyega Bada</text>
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                <text>Mathematics Education occupies a central position to all disciplines. This study considered age and gender as determinants of academic achievement (CGPA) of Mathematics students. The study used thirty eight (38) females and forty (40) males giving a total sample of seventy eight (78). Scatter-plot, mean and Standard deviation were used for the descriptive statistics while univariate analysis of variance (ANOVA) and multiple regressions were used for the inferential statistics. T-test was used to test the null hypothesis formulated (P&lt; 0.05). Result revealed a linear relationship between, age-CGPA and gender–CGPA. A low positive correlation coefficients was obtained for ages and gender (r= 0.142 and 0.004) which were not significant. The predictor variables jointly accounted for 2.1% of the variance, age was the better predictor. The null hypothesis tested was accepted implying no significant gender difference in academic achievement of the students. It was suggested that some more variables be included so as to determine significant correlation of students’ academic achievement of Mathematics students.</text>
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                <text>2012</text>
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