Peta hubungan topik penelitian skripsi IPB University lulusan tahun 2020

A. Saleh, Sri Rahayu
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引用次数: 0

Abstract

Introduction. Agricultural progress cannot be separated from research activities carried out by researchers and students. It is suspected that the thesis research topics in IPB undergraduate theses are thought to be related to one another. This study aims to determine the relationship of the research topics of the IPB undergraduate theses in 2020. Research methods. This research is a mixed method research. The data collected by purposive sampling technic with a 2020 limit. The data was retieved from IPB repocitory. Data analysis. The data were tabulated and analyzed using the VOSviewer to generate maps relationships between keywords. Results and Discussion. Co-word analysis of controlled keywords found 181 keywords. Co-word analysis with a limitation of three keyword occurrences found 120 related keywords grouped into 10 clusters. Co-word analysis of the keywords formed by the author found 10,943 keywords. The ten occurrence limit found 81 keywords in 11 clusters. Similar research topics were found in at least two faculties. Conclusion. The research topics of IPB's thesis were spread into 120 topics with 10 clusters having close relationships. It was found that there were similarities in research topics between one faculty and another.
2020年毕业的IPB大学论文研究主题关系地图
介绍。农业的进步离不开研究人员和学生的研究活动。人们怀疑IPB本科毕业论文中的论文研究课题是相互关联的。本研究旨在确定2020年IPB本科论文研究课题之间的关系。研究方法。本研究是一种混合方法研究。采用目的抽样技术收集的数据,限定在2020年。数据是从IPB存储库中检索的。数据分析。使用VOSviewer将数据制成表格并进行分析,以生成关键字之间的关系图。结果和讨论。共词分析控制关键词发现181个关键词。共词分析限制了三个关键字的出现,发现120个相关关键字分成10个集群。共词分析作者形成的关键词,共发现10943个关键词。10次出现限制在11个集群中发现了81个关键词。类似的研究课题在至少两个学院被发现。结论。IPB论文的研究课题分为120个课题,其中10个课题集群关系密切。我们发现,在研究课题上,各学院之间存在着相似之处。
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审稿时长
12 weeks
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