Effect of IOT-Based Climate Smart Agriculture Learning Media on Students in Agro Climate Course

What is it about?

Abstract Research & Development (R&D) with the Design Science Research Methodology (DSRM) development model approach which aims to (1) Problem Identification and Motivation; (2) Define the Objectives for a Solution; (3) Design and Development; (4) Demonstration; (5) Evaluation; and, (6) Communication. The research locus was at the Gowa Agricultural Development Polytechnic (Polbangtan), Department of Agriculture, D4 Sustainable Agricultural Extension Study Program. Observation, interviews and questionnaires are used in data collection methods to develop climate smart agriculture learning media in Agro climate courses. The data analysis method uses the validity analysis approach, reliability analysis, practicality analysis and effectiveness analysis in the effectiveness analysis using normality and homogeneity tests. The results of the research obtained are (1) in the form of student characteristics, identification of needs and detailed task analysis based on the needs of learning media, to the formulation of problems in the field. This means that what is produced at this stage is also input for the next stage; (2) analysis is carried out by applying methods to simplify the series of activities carried out and integrated according to needs; (3) this stage is carried out making design and development plans as a solution to the problem of producing prototypes that contain trainers for learning agricultural agroclimatology. Based on the testing of media experts and material experts, it is suggested that the media developed is very valid and feasible to implement; (4) the results of the calculation of practicality show that the media is very practical and effective for use in learning Agricultural Agroclimatology courses, this is based on the recapitulation of the assessment of the results of the small group trial, it can be calculated the overall assessment results in the form of an average of 4.65 and a large group average of 4.71; (5) based on the results and paired samples correlations, the sig value (probability value) of 0.000 is smaller than the probability of 0.05, then (t) difference in test results between the experimental class and the control class on the Post Test results, due to the significant difference in average scores, can be declared effective in increasing student competence in the course. Keywords: DSRM, IoT, climate smart agriculture, learning media, agro climate

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Why is it important?

Based on the results of the research that has been carried out, it can be concluded that this media has been running well, namely the results of the calculation of the practicality assessment show that this media is very practical to use in learning Agroclimatology as evidenced by the results of the assessment by media users who are declared very practical as well as the results of the effectiveness test which shows that the use of this media can be used or implemented with some suggestions that have been submitted previously.

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