The recent improvement of traditional education systems in developing countries is supported by the adoption of the latest blockchain technology. This disruptive technology is key to improving accountability and trans...
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River pollution has become a severe problem in Indonesia. Industrial waste causes water pollution because the waste is not filtered before being discharged into the river. Illegal waste dumping cannot be prosecuted du...
详细信息
The recent improvement of traditional education systems in developing countries is supported by the adoption of the latest blockchain technology. This disruptive technology is key to improving accountability and trans...
The recent improvement of traditional education systems in developing countries is supported by the adoption of the latest blockchain technology. This disruptive technology is key to improving accountability and transparency. This study investigates the main factors that influence educational institutions’ intention to implement blockchain technology in e-learning. By combining blockchain adoption strategies, smart learning environments, and enhancing educational innovation this study develops an updated model of the Technology Acceptance Model. This conceptual model was evaluated and validated using online survey-based structural analysis. The results revealed that the blockchain adoption strategy factor has a significant influence on blockchain adoption in smart learning environments. Other findings also had important significant effects on the adoption of blockchain technology. This research presents an updated Technology Acceptance Model for blockchain adoption, providing guidance for decision-makers in developing smart learning environments for educational institutions in developing countries.
River pollution has become a severe problem in Indonesia. Industrial waste causes water pollution because the waste is not filtered before being discharged into the river. Illegal waste dumping cannot be prosecuted du...
详细信息
ISBN:
(纸本)9798350345728
River pollution has become a severe problem in Indonesia. Industrial waste causes water pollution because the waste is not filtered before being discharged into the river. Illegal waste dumping cannot be prosecuted due to insufficient data and unknown disposal times. Therefore, a tool is needed to measure river water waste to measure polluted water waste data. Studies on river water monitoring devices have shown that there are no portable monitoring tools based on the internet of things for river water waste that follows regulatory standards from the Minister of Health. This study aims to produce a portable monitoring tool based on the internet of things for water waste. The system was developed using TDS sensors, turbidity, pH, MQ-135 sensors, and the system is equipped with a GPS module to indicate the location's latitude. The monitoring system is developed through the stages of system design, testing water samples, setting water quality standards and required hardware and components, setting river water quality parameters, and conducting system testing. The test results show that the system can send the data obtained to dashboard things via an internet connection, the TDS sensor error rate is 2.17%, the pH sensor error rate is 1.87%, the turbidity sensor error rate is 1.66%, the MQ135 sensor value is at the quality limit. The internet of things-based portable river waste monitoring system produced through this research helps related parties to identify and handle polluted rivers. Water according to the standards of the Ministry of Health, and the GPS module shows location measurements and information according to the location's latitude on google maps.
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