ANALYSIS OF STUDENTS 'ABILITY TO IDENTIFY PLANTS IN THE STKIP SOE ENVIRONMENT

IF 0.8 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Information Processing Systems Pub Date : 2020-04-30 DOI:10.51673/JIPS.V1I1.220
A. Liunokas
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引用次数: 1

Abstract

This study aims to determine the ability of students to identify plant species and to identify the types of plants identified. This type of research is quantitative descriptive with the subject of 29 students of Biology Education Study Program STKIP Soe in the 2018/2019 school year who took the course of Plant Anatomy and Morphology. The research began with the preparation of the instrument, taking students to explore plants in the campus environment and taking specimens identification, then providing identification test questions. Observations were made during student activities. Data processing of test results and observation sheets by counting the total score and converted into a value form then interpreting the value based on the predicate. Based on the results of research students ‘ability to identify plants based on indicators observing the characteristics of plant specimens achieved only students look capable but not maximal so categorized enough and the results of observations of students’ ability to identify plant species in the medium category. The results of identification there are 43 types of plants that are classified into 27 families.
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分析学生在特定环境下识别植物的能力
本研究旨在确定学生识别植物物种和识别所识别植物类型的能力。这类研究是对2018/2019学年生物教育研究项目STKIP Soe的29名学生进行的定量描述,他们学习了植物解剖学和形态学课程。研究从仪器的准备开始,带学生探索校园环境中的植物,采集标本进行鉴定,然后提供鉴定试题。在学生活动中进行了观察。测试结果和观察表的数据处理,通过计算总分并转换为值形式,然后根据谓词解释值。根据研究结果,学生根据观察植物标本特征的指标识别植物的能力,只有学生看起来有能力,但分类不够充分,以及学生识别中等类别植物物种的能力的观察结果。鉴定结果表明,共有43种植物,分为27科。
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来源期刊
Journal of Information Processing Systems
Journal of Information Processing Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
3.00
自引率
6.20%
发文量
0
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