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BACA: Jurnal Dokumentasi dan Informasi
Published by Badan Riset dan Inovasi Nasional
ISSN : 01259008     EISSN : 23018593     DOI : https://doi.org/10.55981/baca
Core Subject : Science,
Library & Information Science
BACA: JURNAL DOKUMENTASI DAN INFORMASI (Jurnal BACA) is a scientific journal in the documentation, information, and library subject that is published consistently by The National Research and Innovation Agency (Previously this Journal was managed by Center for Scientific Data and Documentation - Indonesian Institute of Sciences (PDDI LIPI). The publishing purpose is to provide up-to-date and quality information to readers who have an interest in science and technology development in these topics. Every article published in Jurnal BACA is the result of research activities, literature review, and best practices. Jurnal BACA is published twice a year, precisely in June and December. The number of articles for each issue is at least five articles. As a reference for submitting manuscripts, the author can refer to ODLIS to determine the list of terms related to the scope and focus of the journal. Based on "Surat Keputusan Direktur Jenderal Penguatan Riset dan Pengembangan Kementerian Riset, Teknologi, dan Pendidikan Tinggi Republik Indonesia Nomor 21/E/KPT/2018" and "Surat Keputusan Direktur Jenderal Pendidikan Tinggi, Riset, dan Teknlogi Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi Republik Indonesia Nomor 105/E/KPT/2022", BACA: Jurnal Dokumentasi dan Informasi was recognized as a nationally accredited scientific journal (SINTA 2). This accreditation is valid until Vol. 46, No. 1, 2025.
Arjuna Subject : Ilmu Sosial - Perpustakan dan Informasi
Articles 7 Documents
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Search results for , issue "2024: SPECIAL ISSUE - DATA IN BRIEF FOR REPOSITORI ILMIAH NASIONAL" : 7 Documents clear
Dataset perilaku pencarian informasi, persepsi, dan pengetahuan wanita hamil mengenai pangan fungsional Marlina, Ekawati; Kusumaningrum, Dwiatri; Rishadi, Rishadi; Yudhanto, Seno; Sari, Diana Permata; Triasih, Hermin
BACA: Jurnal Dokumentasi dan Informasi 2024: SPECIAL ISSUE - DATA IN BRIEF FOR REPOSITORI ILMIAH NASIONAL
Publisher : Direktorat Repositori, Multimedia, dan Penerbitan Ilmiah - Badan Riset dan Inovasi Nasional (BRIN Publishing)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/baca.2024.7112

Abstract

This dataset provides comprehensive information on pregnant women’s information-seeking behavior regarding functional food in Bogor City. In addition, this dataset also includes variables that describe the perceptions and knowledge of pregnant women about functional food. The data was collected through a survey among pregnant women who checked their pregnancies at the Community Health Centre in Bogor City. In the survey, sample selection was conducted using a purposive random sampling method, considering the representation of each health center in Bogor City to ensure more representative results. The potential of using this dataset is vast; various stakeholders, including librarians, government, and researchers, can utilize the dataset. Using this dataset, stakeholders can develop a more effective information service environment on functional foods suitable for pregnant women’s needs. In addition, other researchers can use this dataset to compare pregnant women’s information-seeking behavior, perceptions, and knowledge about functional foods in different regions, thus enriching research in this area.
Kumpulan data fauna ikan air tawar di perairan kawasan Gunung Galunggung Haryono, Haryono; Wahyu Dewantoro, Gema; Wulan, Sri
BACA: Jurnal Dokumentasi dan Informasi 2024: SPECIAL ISSUE - DATA IN BRIEF FOR REPOSITORI ILMIAH NASIONAL
Publisher : Direktorat Repositori, Multimedia, dan Penerbitan Ilmiah - Badan Riset dan Inovasi Nasional (BRIN Publishing)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/baca.2024.7586

Abstract

In this data article, we present scientific data on the diversity of freshwater fish fauna in the waters of the Galunggung Mountain area. The Galunggung area serves as a potential habitat for freshwater fish due to the presence of many rivers and streams. Fish sampling was based on catch per unit effort (CPUE), mainly using electrofishing, gill nets, and hand nets. A total of 24 species were recorded during the survey. Seven fish species, namely Amphilophus alfari, Amphilophus citrinellus, Andinoacara pulcher, Andinoacara rivulatus, Cichlasoma spilurus, Cichlasoma uropthalmum, and Poecilia reticulata, are included in this dataset. Additionally, data from 10 research station locations and the Galunggung crater lake, which is the highest research location, are also included in this dataset. The data in this article can be found in the National Scientific Repository, covering the research locations, the fish species discovered, and several documented fish specimen photos. Regarding its potential utilization, this data can be used as a basis for policy formulation in the fisheries sector and when conducting a review of the fish fauna in the Galunggung Mountain area.
Dataset koleksi anggrek: Eksplorasi flora Samosir, Sumatera Utara Suminarsih, Eka Meifrina; Puspitaningtyas, Dwi Murti
BACA: Jurnal Dokumentasi dan Informasi 2024: SPECIAL ISSUE - DATA IN BRIEF FOR REPOSITORI ILMIAH NASIONAL
Publisher : Direktorat Repositori, Multimedia, dan Penerbitan Ilmiah - Badan Riset dan Inovasi Nasional (BRIN Publishing)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/baca.2024.7776

Abstract

Sumatra Island, with its tropical climate, provides an ideal habitat for orchid diversity. However, the rich diversity and potential of these orchids are increasingly threatened by high deforestation rates across Indonesia, leading to risks of reduction and even extinction. To address this, conservation activities are underway at the Samosir Botanic Garden. This study aimed to inventory the orchid diversity on Samosir Island. Collected orchids are being conserved as a living collection both ex situ at the Bogor Botanic Garden and in situ at the Samosir Botanic Garden. An exploratory method was used, resulting in a collection of 80 orchid specimens, representing 35 genera, 80 species, and 313 individual samples. These orchids were found at altitudes ranging from 989 to 1,799 meters above sea level and included 60 epiphytic species, 1 lithophytic species, and 19 terrestrial species. A total of 23 orchid species were identified during the exploration, and data on these species are stored in the National Scientific Repository (RIN). This repository provides a valuable resource for further research on the orchid species richness in Samosir Regency.
Pemanfaatan dataset ukuran efek (effect size) untuk membangun alternatif model penelitian: Studi kasus minat konsumen membeli kendaraan listrik Putri, Rizkiya Anisyah; Yoganingrum, Ambar; Febriandirza, Arafat; Asmara, Indri Juwita; Rezaldi, Muhammad Yudhi; Tohari, Amin; Prasetyadi, Abdurrakhman; Indrawati, Ariani; Siagian, Al Hafiz Akbar Maulana
BACA: Jurnal Dokumentasi dan Informasi 2024: SPECIAL ISSUE - DATA IN BRIEF FOR REPOSITORI ILMIAH NASIONAL
Publisher : Direktorat Repositori, Multimedia, dan Penerbitan Ilmiah - Badan Riset dan Inovasi Nasional (BRIN Publishing)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/baca.2024.7782

Abstract

This study presents survey data from primary research papers containing effect size data and the number of respondents for several variables influencing consumer interest in purchasing electric vehicles. The survey utilized the Meta-Analytic Structural Equation Modeling (MASEM) approach. Data were collected in June 2021 using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) to identify 11 valid papers. This survey aimed to collect effect size values, such as path coefficients and standardized regression weights, from each of the eleven papers. The effect size values collected indicate the magnitude of the relationship between the variables: Attitude, Perceived Behavior Control, Subject Norm, Charging Infrastructure, Environmental Concern, Financial Benefit, External Environment, Marketing Mix, Willingness to Pay a Premium, Incentive Policy Measures, and Perceived Value, and their impact on interest in purchasing electric vehicles. The data set stored in this repository can serve as a reference for researchers and policymakers in developing models and examining the relationship between variables influencing electric vehicles adoption.
Dataset VR (virtual reality) laboratorium komputer BRIN 2 di Repositori Ilmiah Nasional (RIN) Herdianto, Arvy; Prasetyadi, Abdurrakhman; Hadi, Angga Arvianto
BACA: Jurnal Dokumentasi dan Informasi 2024: SPECIAL ISSUE - DATA IN BRIEF FOR REPOSITORI ILMIAH NASIONAL
Publisher : Direktorat Repositori, Multimedia, dan Penerbitan Ilmiah - Badan Riset dan Inovasi Nasional (BRIN Publishing)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/baca.2024.7785

Abstract

The rapid advancement of animation and 3D modeling technology, particularly in virtual reality (VR), has significantly transformed digital interactions. This article discusses the application of VR in computer laboratory simulations for research, experimentation, and data analysis. VR offers interactive 3D visualization, allowing users to view objects and spaces from various perspectives. The research method employed photogrammetry techniques at the BRIN Science and Technology Laboratory in Bandung to gather data. The collected data was then processed using Blender and Unity software, resulting in high-quality 3D models. The VR Lab Computer dataset from BRIN consists of 31 files, including 16 images and 15 3D object models that can be accessed through specific applications. The visualizations produced provide an accurate representation of the laboratory space, equipment, and tools available. The findings of this research indicate the significant potential of VR in education and research, as well as benefits for individuals with physical or geographical limitations. Thus, VR not only enhances the learning experience but also improves the efficiency of repeating experiments.
Kumpulan data citra telepon pintar untuk identifikasi varietas cabai merah berbasis daun Suwarningsih, Wiwin; Evandri, Evandri; Kirana, Rinda; Purnomo Husnul Khotimah; Dianadewi Riswantini; Ekasari Nugraheni; Andri Fachrur Rozie; Andria Arisal; Devi Munandar; Noor Roufiq Ahmadi
BACA: Jurnal Dokumentasi dan Informasi 2024: SPECIAL ISSUE - DATA IN BRIEF FOR REPOSITORI ILMIAH NASIONAL
Publisher : Direktorat Repositori, Multimedia, dan Penerbitan Ilmiah - Badan Riset dan Inovasi Nasional (BRIN Publishing)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/baca.2024.7786

Abstract

Chili plants played an important role in human life, serving as a source of income for farmers, as a provider of employment, and as a source of vitamins and minerals for the community. Market demand for red chili continued to increase, encouraging seed producers to provide quality plant seeds. The requirements for selecting plant varieties were based on market demand (taste, color, appearance, size, etc.), high productivity, resistance to plant pest attacks, and suitability for planting in local ecosystem conditions. Based on this, a smart approach was needed to identify plant varieties to maintain seed purity. To facilitate and streamline leaf-based chili variety identification, a comprehensive dataset was compiled. This dataset, consisting of 3877 leaf images divided into 12 variety classes, aimed to determine which plants were parent seeds or seeds that had deviations from their varieties. Leaf images were collected from the BALITSA garden through observations of leaf growth from shoots to 20 days of plant age. Various strict steps were taken to ensure the quality of the dataset and increase its usefulness. Chili leaf images taken from various angles and having high resolution were designed to assist in the development of highly accurate models. By leveraging this curated dataset, it was possible to train a model for real-time leaf-based identification of chili varieties, which significantly helped in the timely identification of such conditions.
Dataset untuk peran pustakawan data dalam meningkatkan literasi dan kapasitas pengelolaan data penelitian bagi komunitas penelitian dan profesional informasi di Indonesia Sulaiman, Madiareni; Rosiyan, Nur Rizzal; Untari, Dwi; Rachmawat, Rulina; Trianggoro, Cahyo; Bakti, Ludya Arica; Yudhanto, Seno
BACA: Jurnal Dokumentasi dan Informasi 2024: SPECIAL ISSUE - DATA IN BRIEF FOR REPOSITORI ILMIAH NASIONAL
Publisher : Direktorat Repositori, Multimedia, dan Penerbitan Ilmiah - Badan Riset dan Inovasi Nasional (BRIN Publishing)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/baca.2024.7829

Abstract

This dataset provides information on the involvement of librarians in efforts to improve data management literacy for the research community. The data provided provides a real picture of the state of research data management in Indonesia because it uses a mixed research approach. Data collection methods were survey, interview, and content analysis. The selection of respondents and informants used purposive sampling techniques, and the criteria were librarians, researchers, lecturers, and students who dealt with research data daily. Various types and formats of data are available in this dataset, such as images, audio, text, video, and documents. This dataset is useful for stakeholders such as policymakers, librarians, researchers, and students who have competencies in research data management. By utilizing this dataset, stakeholders can identify the needs of data librarians, research data service schemes, and policy making.

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