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Pemetaan Informasi Sebaran Bidang Ilmu Pada Skripsi Fakultas Matematika dan Ilmu Pengetahuan Alam Lulusan IPB University Tahun 2015 - 2019 Berdasarkan Universal Decimal Classification: Suatu Kajian Bibliometrika Raden Wahyudin; Abidin
Jurnal Pustakawan Indonesia Vol. 19 No. 2 (2020): Jurnal Pustakawan Indonesia (Edisi Khusus)
Publisher : Perpustakaan IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (597.431 KB) | DOI: 10.29244/jpi.19.2.115-133

Abstract

Preliminary. IPB-University, a leading university in Indonesia, always produces a lot of research and innovation. Academic writing in the form of a thesis is a real proof. However, there has been no study that has mapped the results of these studies. This research was conducted to determine: the distribution of research topics, create a map of the field of science based on the Universal Decimal Classification standard, and visualize a map of keywords, as well as the productivity of the supervisor in the thesis of the Faculty of Mathematics and Natural Sciences, IPB University. Research Methods. This research is a bibliometric study with quantitative research methods, in order to describe the mapping of information on the distribution of knowledge in the thesis of the Faculty of Mathematics and Natural Sciences, IPB University. Research Data Processing. The object of this research is the Faculty of Mathematics and Natural Sciences thesis data in the IPB University Library database. The data is processed using the M.S. Excel and grouped according to the Universal Decimal Classification standard. The keyword data was created in an RIS File and analyzed using the VosViewer-Visualizing Scientific Landscapes 1.6.1.5 program developed by Nees Jan Van Eck and Ludo Waltman. Research Result. Proving that the thesis research topics of Faculty of Mathematics and Natural Sciences, IPB University graduates in 2015-2019 are 3,550 titles. Map of fields of science based on UDC showing research topics at most grade 004: “Computer Science and Technology, Computing and Data Processing” 719 (20.25%) titles, research topics at least grade 590: “Zoology” 43 (1.21%) . Co-word analysis using Vosviewer 1.6.1.5 on the occurrence of a minimum of 5 keywords succeeded in visualizing 683 keywords in 12 clusters. The keyword that appears the most occurs is "Computer Science and Technology" 153 times. Network Visualization shows the trend of the most popular research topics: “Computer Science and Technology” is in cluster 5 with a total network link strength of 397. Overlay Visualization shows a tendency the year the research was conducted, which was between 2016-2018. Density Visualization shows the tendency for the density of research volumes for each of these keywords to vary. The highest productivity of the thesis supervisor as the main supervisor is Imas Sukaesih Sitanggang as many as 79 guidance, while as member supervisors are Ali Kusnanto and Budi Waryanto, the number of guidance is 42 and 8 thesis guidance, respectively
Pemetaan Informasi Sebaran Bidang Ilmu Pada Skripsi Fakultas Matematika dan Ilmu Pengetahuan Alam Lulusan IPB University Tahun 2015 - 2019 Berdasarkan Universal Decimal Classification: Suatu Kajian Bibliometrika Raden Wahyudin; Abidin
Jurnal Pustakawan Indonesia Vol. 19 No. 2 (2020): Jurnal Pustakawan Indonesia (Edisi Khusus)
Publisher : Perpustakaan IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (597.431 KB) | DOI: 10.29244/jpi.19.2.115-133

Abstract

Preliminary. IPB-University, a leading university in Indonesia, always produces a lot of research and innovation. Academic writing in the form of a thesis is a real proof. However, there has been no study that has mapped the results of these studies. This research was conducted to determine: the distribution of research topics, create a map of the field of science based on the Universal Decimal Classification standard, and visualize a map of keywords, as well as the productivity of the supervisor in the thesis of the Faculty of Mathematics and Natural Sciences, IPB University. Research Methods. This research is a bibliometric study with quantitative research methods, in order to describe the mapping of information on the distribution of knowledge in the thesis of the Faculty of Mathematics and Natural Sciences, IPB University. Research Data Processing. The object of this research is the Faculty of Mathematics and Natural Sciences thesis data in the IPB University Library database. The data is processed using the M.S. Excel and grouped according to the Universal Decimal Classification standard. The keyword data was created in an RIS File and analyzed using the VosViewer-Visualizing Scientific Landscapes 1.6.1.5 program developed by Nees Jan Van Eck and Ludo Waltman. Research Result. Proving that the thesis research topics of Faculty of Mathematics and Natural Sciences, IPB University graduates in 2015-2019 are 3,550 titles. Map of fields of science based on UDC showing research topics at most grade 004: “Computer Science and Technology, Computing and Data Processing” 719 (20.25%) titles, research topics at least grade 590: “Zoology” 43 (1.21%) . Co-word analysis using Vosviewer 1.6.1.5 on the occurrence of a minimum of 5 keywords succeeded in visualizing 683 keywords in 12 clusters. The keyword that appears the most occurs is "Computer Science and Technology" 153 times. Network Visualization shows the trend of the most popular research topics: “Computer Science and Technology” is in cluster 5 with a total network link strength of 397. Overlay Visualization shows a tendency the year the research was conducted, which was between 2016-2018. Density Visualization shows the tendency for the density of research volumes for each of these keywords to vary. The highest productivity of the thesis supervisor as the main supervisor is Imas Sukaesih Sitanggang as many as 79 guidance, while as member supervisors are Ali Kusnanto and Budi Waryanto, the number of guidance is 42 and 8 thesis guidance, respectively
Tren Riset Dosen di Jurnal Ilmiah IPB University Raden Wahyudin; Abidin
Jurnal Pustakawan Indonesia Vol. 21 No. 1 (2022): Jurnal Pustakawan Indonesia
Publisher : Perpustakaan IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpi.21.1.1-13

Abstract

Pendahuluan. Riset ini untuk mengetahui tren: topik riset, bidang ilmu berdasarkan UDC, peta-jalan subjek, kata-kunci, produktivitas penulis. Metode Penelitian.Metode riset kuantitatif dan analisis data deskriptif. Data riset dari Scientific Journals of IPB University. Data dilacak Harzing’s Publish or Perish melalui Google Scholar. Data Analisis.Data diolah dan dianalisis menggunakan Microsoft Excel, UDC- Summary, dan VOSviewer. Hasil dan Pembahasan.Topik riset teridentifikasi 6.089judul paling banyak pada Jurnal Ilmu dan Teknologi Kelautan Tropis 309judul. Bidang ilmu paling banyak diteliti terutama kelas (6)Ilmu terapan dan teknologi 4.608judul, kelas (658)Manajemen bisnis dan administrasi. Organisasi komersial 708judul. Subyek dan kata-kunci paling banyak diteliti kelas (664.8/.9)Teknik pengawetan makanan 373 terjadi tahun 2018, volume riset sangat padat, dan SWOT 56 terjadi tahun 2018, volume riset sangat padat. Produktivitas penulis kesatu Bambang Hero Saharjo 11judul, penulis kedua Ujang Sumarwan 30judul, penulis ketiga Lilik Noor Yuliati 21judul, penulis keempat dan kelima Didah Nur Faridah 9judul, Cece Sumantri 8judul. Kesimpulan.Tren riset kelas utama (6)Ilmu terapan dan teknologi. Produktivitas penulis berdasarkan dalil Lotka baik secara keseluruhan, derajat kolaborasi 0,95. Penulis paling produktif, Bambang Hero Saharjo, Ujang Sumarwan, Lilik Noor Yuliati, Didah Nur Faridah.
Tren Riset Dosen di Jurnal Ilmiah IPB University Raden Wahyudin; Abidin
Jurnal Pustakawan Indonesia Vol. 21 No. 1 (2022): Jurnal Pustakawan Indonesia
Publisher : Perpustakaan IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpi.21.1.1-13

Abstract

Pendahuluan. Riset ini untuk mengetahui tren: topik riset, bidang ilmu berdasarkan UDC, peta-jalan subjek, kata-kunci, produktivitas penulis. Metode Penelitian.Metode riset kuantitatif dan analisis data deskriptif. Data riset dari Scientific Journals of IPB University. Data dilacak Harzing’s Publish or Perish melalui Google Scholar. Data Analisis.Data diolah dan dianalisis menggunakan Microsoft Excel, UDC- Summary, dan VOSviewer. Hasil dan Pembahasan.Topik riset teridentifikasi 6.089judul paling banyak pada Jurnal Ilmu dan Teknologi Kelautan Tropis 309judul. Bidang ilmu paling banyak diteliti terutama kelas (6)Ilmu terapan dan teknologi 4.608judul, kelas (658)Manajemen bisnis dan administrasi. Organisasi komersial 708judul. Subyek dan kata-kunci paling banyak diteliti kelas (664.8/.9)Teknik pengawetan makanan 373 terjadi tahun 2018, volume riset sangat padat, dan SWOT 56 terjadi tahun 2018, volume riset sangat padat. Produktivitas penulis kesatu Bambang Hero Saharjo 11judul, penulis kedua Ujang Sumarwan 30judul, penulis ketiga Lilik Noor Yuliati 21judul, penulis keempat dan kelima Didah Nur Faridah 9judul, Cece Sumantri 8judul. Kesimpulan.Tren riset kelas utama (6)Ilmu terapan dan teknologi. Produktivitas penulis berdasarkan dalil Lotka baik secara keseluruhan, derajat kolaborasi 0,95. Penulis paling produktif, Bambang Hero Saharjo, Ujang Sumarwan, Lilik Noor Yuliati, Didah Nur Faridah.
Co-Authors Raden Wahyudin