Journal of Documentation and Information Science

ANALISIS BIBLIOMETRIK PENELITIAN TENTANG COVID-19 DI INDONESIA

2023-10-20T17:04:44+07:00

This research focuses on scientific articles that discuss Covid-19. This research aims to find out and analyze the Co-occurance and Co-authorship mapping of the distribution of scientific publications that discuss Covid-19 in Indonesia. This research method is a descriptive research in the form of bibliometric analysis with a quantitative approach to Co-occurrence and Co-authorship. First, co-occurrence is carried out to see trends in research topics by grouping keywords. Second, Co-authorship is an analytical method used to determine the level of collaboration of scientific article authors in conducting scientific research. The results of the study show that scientific journal articles with the keyword Covid-19 in this research study have a strong association with several other keywords in the same field. Judging from the frequency of occurrence of keywords, namely Covid-19 Pandemic, Indonesia, Coronavirus, Sars-cov-2, Public health, Social Media, Pandemic, E-learning, Corona, Distance learning, and others. Meanwhile, keywords that have a low occurrence rate are Consumers, Emotional Intelligence, Force Majure, Inflation, New Normal, Corona, Lockdown. Meanwhile, "Geno, Rachmad Ardiansyah Pua", "Herwanto, Yeni Tri", "Ibad, Mursyidul", "Laksono, Agung Dwi", "Megatsari, Hario", "Nugraheni, Estiningtyas", "Sarweni, Kinanty Putri", “Vinet, Luc”, and “Zhedanov, Alexei” are the most prolific writers. The level of collaboration of scientific article writers with keywords written collaboratively is as much greater than individually or individually.

BIBLIOMETRIC ANALYSIS: THE USE OF STREPTOZOTOCIN (STZ) IN DIABETIC ANIMAL MODEL

2023-11-05T19:54:26+07:00

Bibliometric analysis is a relatively new tool in healthcare and therefore does not yet make full use of its potential. This statistical tool analyses scientific publications which further describe trends in academic literature and research in various fields. This study focused on the development of diabetes research using animal models induced by streptozotocin (STZ), a diabetogenic molecule that triggers DNA damage in pancreatic beta cells and causes extreme oxidative stress. 1090 related articles published between 2017-2022 were obtained from the Scopus-Elsevier database using specific keywords “streptozotocin or STZ, animal models, diabetes, intraperitoneal”. Statistical analysis showed 1.67% Annual Growth Rate of publication with 10.66 citation rate per document. Co-occurrence analysis also successfully visualized the main topics related to the mechanism of action of streptozotocin such as oxidative stress, inflammation, rats, diabetic nephropathy, diabetic cardiomyopathy, hyperglycemia, antioxidants, and insulin. An important finding in this study indicated the diabetes research development was not in line with the main problem using animal models that remain unsolved, especially in diabetes research related to pancreatic beta cell proliferation. The result also provided valuable insights of research trends that involved diabetic animal models. The latest research datas are significantly important since it can be used for future research development. Further, more comprehensive information could be achieved by using other databases such as Web of Science (WOS) and Dimension in bibliometric analysis.

Analisis Bibliometrik Penelitian Pohon Keputusan untuk Prediksi Kanker Payudara

2023-11-05T21:32:40+07:00

The purpose of this paper is to conduct a bibliometric analysis of scientific publications that discuss the use of the decision tree method for breast cancer prediction. A total of 322 documents from Scopus were collected for analysis using bibliometric indicators such as productivity and citations. The bibliometric analysis produces scientific mapping based on the keywords co-occurrence, co-authorship, and co-citation analysis to reflect the conceptual, social, and intellectual structure of the research. The results of the analysis of evolution article found an exponential increase in citations and the number of authors in this study in the period 2005-2023, where China was the dominant country in conducting research. In the thematic map analysis, three research topics were produced, namely the medical field, the computer field and the bioinformatics field. Research topics in the use of the decision tree method for breast cancer prediction are included in the computer field. This study suggests that research on the use of the decision tree method for breast cancer prediction is a research topic that needs to be continuously improved.

PRODUKTIVITAS DAN KOLABORASI PERISET PADA PUSAT RISET TEKNOLOGI RADIOISOTOP, RADIOFARMAKA DAN BIODOSIMETRI BADAN RISET DAN INOVASI NASIONAL BERDASARKAN ANALISIS BIBLIOMETRIK

2023-11-05T20:40:24+07:00

The collaboration and productivity of researchers at the Research Center for Radioisotope Technology, Radiopharmaceuticals and Biodosimetry (PRTRRB) was carried out using the bibliometric method. The research objectives were to determine: 1) the Productivity of PRTRRB researchers, period 2021 -2022, 2) Collaboration of PRTRRB researchers, and 3) Trends/mapping of research results conducted. Data was collected from the Scopus database and https://intipdaqu.brin.go.id/paten. The research population was publications by 66 out of 69 researchers with Scopus IDs on 23 February 2023. The results showed that the number of publications in 2021 was 43, and in 2022 there were 38 titles. The most prolific researcher was Syaifudin M., who produced 14 documents, followed by Suseno and Wongso, each of whom produced 10 documents. PRTRRB produced 7 patents. A total of 30 countries collaborated with researchers, and the most was Japan. The research map that was carried out was divided into 7 clusters, and the most clusters were about radiopharmaceuticals, which concentrated on cancer treatment, assisted by natural ingredients. It was concluded that PRTRRB BRIN researchers are active in conducting research in the nuclear field, as evidenced by the publication of research results in various types of publications indexed in Scopus. Another indicator is the production of patents in the nuclear field.

PERANCANGAN MEDIA LITERASI KESEHATAN JAJANAN ANAK BERDASARKAN TINGKAT PENGETAHUAN ORANG TUA TENTANG JAJANAN ANAK

2023-11-05T19:33:16+07:00

This research aims to determine the level of knowledge of parents regarding children's snacks and find out what kind of health literacy material about children's snacks is needed by parents, and find out which health literacy media about children's snacks suits parents' information needs. This research method uses a quantitative descriptive type. The number of samples received in this research was 202. The sampling technique in this research used probability sampling, quota sampling type. The results of this study show that the level of knowledge of parents regarding school children's snacks (SCS) is high and very high. High levels are found in the indicators of types of snacks and characteristics of healthy snacks with scores of 3.26 and 3.27 respectively. Meanwhile, other indicators have a very high level of knowledge, namely: coverage/understanding of snacks with a score of 3.51, characteristics of unhealthy snacks with a score of 3.32, how to choose snacks with a score of 3.38, and factors for choosing snacks with a score of 3.45. Meanwhile, the content of material on health literacy about children's snacks targeting parents is about Types of Snacks and Characteristics of Healthy Snacks, whereas if the target is children, the material is on How to choose good snacks. Then the most frequently chosen health literacy media regarding children's snacks was ebooks with 37.1%. The recommended media for snack health literacy in this research is video media

A HUBUNGAN MEDIA SOSIAL TIKTOK TERHADAP TINGKAT LITERASI DIGITAL PADA PENGGUNA TIKTOK GENERASI Z DI DKI JAKARTA

2023-11-05T19:20:00+07:00

Pendahuluan. Tik Tok yang sedang trend saat ini dengan konten yang menarik dan waktu yang cukup singkat memberikan ketertarikan bagi penggunanya. Gen Z paling banyak menggunakan Tik Tok, karena durasi Tik Tok yang cukup singkat pengguna yang tidak memiliki kemampuan literasi digital akan menelan informasi yang tidak fakta, dan DKI menjadi urutan ke 4 yang paling banyak penyangan di Tik Tok, penelitian ini bertujuan untuk mengetahui hubungan dua variabel dan mengetahui seberapa besar tingkat literasi digital pada Gen Z di DKI jakarta.

Metode Penelitian. Penelitian ini menggunakan kuantitaif korelasional pendekatan deskriptif dan asosiatif. Serta diukur menggunakan konsep dari japelidi.

Hasil dan Pembahasan. Hasilnya menunjukan kedua variabel terdapat hubungan dengan pearson correlation 0,689 yang artinya kuat dan positif dan tingkat literasi digital pengguna Tik Tok Gen Z di DKI Jakarta yaitu tingkat fungction consuming sekitar 85.56%, fungction prosuming sekitar 74,87% critical consuming 72.63%, critcal prosuming sekitar 60.38% dan rata-rata pengguna Tik Tok Gen Z di DKI Jakarta berada di tingkat critical consuming dengan presentase nya sebesar 75.80% dapat dikatakan pengguna Tik Tok Gen Z di DKI Jakarta (sedang-tinggi)

Kesimpulan. Dari penelitian tersebut maka dapat ditarik kesimpulan bahwa Generasi Z yang berada di DKI Jakarta memiliki hubungan media social Tik Tok terhadap tingkat literasi digital.