The Effect of Analyzing Images Using The PlantNet Application and TGT on Motivation, Classification Abilities, and Data Presentation in Plantae Material

Abstract

Learners need to observe various types of plants to achieve basic competencies in the subject of "Plantae." However, teachers find it challenging to manage learning activities outside the school environment. This research aims to: 1) analyze the influence of three different teaching methods on motivation, classification abilities, and data presentation, and 2) determine the most effective teaching method among the three.This study adopts a quantitative approach, specifically quasi-experimental research, using a non-equivalent control group design. The research population comprises all 10th-grade students in the Science Program (MIPA) at MAN 2 Banyumas, totaling six classes. The sample consists of three classes: X MIPA 2, which uses PlantNet + TGT, X MIPA 3, which uses TGT, and X MIPA 4, which employs discussion. Data collection methods include questionnaires, tests, and observation sheets. Data analysis techniques encompass statistical methods such as normality and homogeneity tests, analysis of variance (ANOVA), and post hoc tests.Based on the ANOVA analysis results for all three classes, a significance value of 0.00<0.05 was obtained. This indicates the impact of the techniques of analyzing images using the PlantNet application and TGT, TGT-based learning, and discussion-based learning on motivation, classification abilities, and data presentation. The least significant difference analysis shows that the PlantNet + TGT class had an average motivation score of 48.20, the TGT class had 36.69, and the discussion class had 28.64. The average increase in classification abilities was 35.25 for the PlantNet + TGT class, 21.18 for the TGT class, and 15.58 for the discussion class. In terms of data presentation abilities, the PlantNet + TGT class had an average increase of 25.02, the TGT class had 17.15, and the discussion class had 11.00. This indicates that the PlantNet + TGT class showed significantly higher improvement compared to the TGT and discussion classes.In conclusion, the study results indicate that all three teaching strategies, including the technique of analyzing images with the PlantNet application and TGT, TGT, and discussion, have an impact on motivation, classification abilities, and data presentation. Among these methods, teaching with the technique of analyzing images with the PlantNet application and TGT resulted in the highest improvement in motivation, classification abilities, and data presentation.