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Journal : infokum

The design of the internet of things for the application of making automatic fish feeders Muhammad Irfan Sarif
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Rapid technological advances must be utilized, studied and applied in everyday life. One of the technological advances that have been applied is in the field of control, currently with wireless network technology which has grown rapidly the problem of distance and time can be solved with wireless network technology. For example, the use of computer systems in everyday life. The use of a computer system will make performance in terms of distance and time more effective. Seeing the progress of wireless technology is not impossible in the future various kinds of electronic devices can be controlled via wireless technology. The research objective in this final project is to develop and create a control system with a wireless network using Bluetooth which can control fish feeding easily and quickly in feeding fish. The creation of an IOT (Internet Of Things) Based Fish Feeder robot using Bluetooth as a control actuator or servo motor signal delivery system. The servo motor will work if it receives input from the smartphone button as a medium to control the valve for the fish feed container which will be poured into the fish holding pond. The fish feeding system that the author has developed uses only two buttons to control the many servo motor movements to spill fish feed into the pond. The tools developed by the researchers have met the expectations of researchers and catfish breeders, because they are very beneficial for the effectiveness of catfish feeding activities.
Digital Technology in Higher Education: Integrating Learning Analytics and Adaptive E-Learning to Improve the Quality of Student Learning Robet H Silaban; Muhammad Irfan Sarif; Perianus Lombu; Aldy Agustian; Larasati Rince Pratita Ritonga
INFOKUM Vol. 14 No. 02 (2026): Infokum, March-April 2026
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v14i02.3081

Abstract

This study aims to analyze the influence of digital technology through the integration of learning analytics and adaptive e-learning on the quality of student learning in higher education. The study used a quantitative approach with an explanatory research type. Data were collected through a Likert-scale questionnaire to 120 students who use digital learning systems. The data analysis technique used multiple linear regression with the help of statistical software. The results of the study showed that learning analytics and adaptive e-learning partially and simultaneously had a positive and significant effect on the quality of student learning, with a significance value of 0.000 < 0.05. The coefficient of determination (R²) value of 0.62 indicates that 62% of the quality of learning is influenced by these two variables. This technology integration has been proven to increase student engagement, effectiveness, and learning outcomes. Thus, the application of learning analytics and adaptive e-learning can be an effective strategy in improving the quality of learning in higher education.