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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 296 Documents
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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.
STRATEGI OPTIMALISASI LAYANAN E-RESOURCES PERPUSTAKAAN NASIONAL REPUBLIK INDONESIA DI MASA PANDEMI COVID-19 Siti Haja, Safira; Fauziah, Kiki
BACA: Jurnal Dokumentasi dan Informasi Vol. 43 No. 1 (2022): BACA: Jurnal Dokumentasi dan Informasi (Juni)
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: 10.14203/j.baca.v43i1.819

Abstract

This study discusses the strategy for optimizing e-Resources services for the National Library of Indonesia (Perpusnas) during the COVID-19 pandemic. During the COVID-19 pandemic, Perpusnas stated that all online library services had increased three times. Perpusnas provides free open access services to local and international publications through the e-Resources portal. However, during 2020, statistical data shows a decrease in visitors to the e-Resources portal. The decrease in visitors to the National Library of Indonesia's e-Resources services is not proportional to the increase in all online services from the National Library of Indonesia. Therefore, the research problem is how the National Library of Indonesia's strategy in optimizing e-Resources services during the COVID-19 pandemic. The purpose of this research is to find an effective strategy for optimizing e-Resources services during the COVID-19 pandemic. This research uses a qualitative approach with a case study method, where data collection was carried out by online interviews with the National Library librarians and online observations of e-Resources digital collection services. The results show that the National Library of Indonesia's strategies in optimizing the use of e-Resources includes online user guidance, collaboration with universities, promotion on social media, and the Ask a Librarian service.
PENELUSURAN SPESIMEN HERBARIUM DALAM JARINGAN Putu Gede P. Damayanto, I; Surya Dwipa Irsyam, Arifin
BACA: Jurnal Dokumentasi dan Informasi Vol. 43 No. 1 (2022): BACA: Jurnal Dokumentasi dan Informasi (Juni)
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: 10.14203/j.baca.v43i1.848

Abstract

In this technological era, some institutions in the world have scanned herbarium specimens into images and stored them in special portals. This makes it easier for researchers to access various collections spread all over the world. This study aimed to provide information about the online database portals that provide scanned images of herbarium specimens. The study was conducted by compiling the online database portals that provide scanned images of herbarium specimens in a matrix and then was scored to give recommendations for selecting a priority portal. The data were analyzed and described descriptively. This study showed that there are 13 online database portals that provide scanned images of herbarium specimens, namely portals of Australasian Virtual Herbarium (AVH), BioPortal: Browse Dutch Natural History Collections (BioPortal), e-ReColNat, Global Biodiversity Information Facility (GBIF), Kew Herbarium Catalogue (HerbWeb), Integrated Digitized Biocollections (iDigBio), JACQ Virtual Herbaria (JACQ), JSTOR’s Global Plants (JSTOR), MNHN Vascular Plants (P), NYBG C. V. Starr Virtual Herbarium, Plants of the World Online (POWO), Reflora Virtual Herbarium (Reflora), and Tropicos. The thirteen portals have characteristics (features) that are different from one another, not all of them provide fully open (free) access, scanned images of herbarium specimens downloaded are varied, and the availability of a feature for real-time observation of scanned herbarium specimens.
SOCIAL NETWORK ANALYSIS OF MANGOSTEEN TECHNOLOGY DEVELOPMENT CLUSTER IN INDONESIA BASED ON PATENT DOCUMENT APPLICATION Yaman, Aris; Aris Kartika, Yulia; Tsurayya, Silmi; Ankafia, Adi; P. Manik, Lindung; Akbar, Zaenal; Indrawati, Ariani
BACA: Jurnal Dokumentasi dan Informasi Vol. 43 No. 1 (2022): BACA: Jurnal Dokumentasi dan Informasi (Juni)
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: 10.14203/j.baca.v43i1.828

Abstract

Functional food consumption is on the rise and has a significant market value. Indonesia is one of the largest mangosteens (a functional food source commodity) exporting countries globally. Unfortunately, the mangosteen export is still in fresh fruit condition, not in other forms that have a higher value. Policymakers need to identify critical technologies in the development of mangosteen commodities. This study uses a patent-based technology document analysis method to map the potential of technology. The data used is patent data that has been registered with the Indonesian Patent Office and the WIPO Patentscope database. The analysis was carried out using computational methods, namely a Social Network Analysis with the Girvan-Newman algorithm. According to the study's findings based on global patent data, there are three major technology clusters used in mangosteen patents: 1) 24 percent for technology related to developing preparations for medical, dental, or toilet purposes (A61K). 2) 20% for food and food ingredient technology or non-alcoholic beverages (A23L). The remaining 43 percent is spread across many other IPC technology codes, including technology related to drug preparations (A61P). It is in line with the results of patent data analysis in Indonesia, which also shows that there are three dominant technology groups applied to mangosteen in Indonesia, namely 1) Technology related to the development of medical, dental, and toilet technology (A61K) of 47 percent; 2) Technology related to food and food ingredients or non-alcoholic drinks (A23L) by 18 percent, and 3) Technology related to drug preparations (A61P) by 13 percent and the remaining 22 percent spread over several other IPC technology codes. According to Social Network Analysis, the world's dominant technology cluster for mangosteen is technology related to the development of food and food ingredients or non-alcoholic beverages (A23L). The technology associated with medical, dental, and toilet technology is the most important mangosteen technology cluster in Indonesia (A61K).
LIBRARY ANXIETY MAHASISWA ASING DI PERPUSTAKAAN Fatmawati, Riya; Rohyati Zulaikha, Sri
BACA: Jurnal Dokumentasi dan Informasi Vol. 43 No. 1 (2022): BACA: Jurnal Dokumentasi dan Informasi (Juni)
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: 10.14203/j.baca.v43i1.781

Abstract

Library anxiety is a unique phenomenon. Anxiety often arises when someone is in a new place. Padang State University has some students from several countries. Environmental and cultural differences force the students to adapt to their new environment. Anxiety could arise due to the lack of exposure in the library environment or lack of knowledge of the library. One of the anxious attitudes can be seen in the reluctance of students to come to the library. This study aims to determine library anxiety and the factors of library anxiety towards foreign students at the Padang State University Library using a descriptive method with a case study approach, Data collection was carried out using structured interview techniques, observation, and documentation. The informants in this study were five foreign students that selected based on purposive sampling. Research result shows that foreign students at Padang State University Library do not experience library anxiety. This can be seen from the results that from nine questions given, six questions were answered positively by the informants and just three questions confirmed negative: lack of knowledge about where, how to start, and library knowledge barriers.
EVALUASI KINERJA LAYANAN PERPUSTAKAAN UIN SUNAN AMPEL SURABAYA BERBASIS STANDAR NASIONAL DAN INTERNASIONAL Rodliyah, Ummi
BACA: Jurnal Dokumentasi dan Informasi Vol. 43 No. 1 (2022): BACA: Jurnal Dokumentasi dan Informasi (Juni)
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: 10.14203/j.baca.v43i1.856

Abstract

The performance of the university library must always be evaluated and assessed. Assessment or evaluation activities usually have to use standard measuring tools, so that the results can be accounted for. The results of the evaluation carried out correctly can be used as a reference and basis for library development in the future. This research is an evaluated study of the library service performance evaluation of UIN Sunan Ampel Surabaya (UINSA). The standards used as evaluation tools are the National Standards for College Libraries (SNP 13 of 2017) and the Standards for libraries in higher education issued by the Association of College and Research Libraries (ACRL), a division of the American Library Association (ALA). 2018. Using both instruments of national and international standards, the researcher wants to know the level of achievement of UINSA's library service performance from these two levels. This study uses the collecting data methods, namely documentation, questionnaires, and observations. Documentation is used to evaluate performance based on SNP 13 in 2017 while a questionnaire is used to evaluate performance based on the Standard for libraries in higher education. Documentation guide using the university library accreditation instrument. Meanwhile, the questionnaire was compiled based on the performance indicators of the 3 (three) principles of Standard for libraries in higher education, namely Professional Values, Education role, and Discovery. The results showed that the performance of UINSA Library services based on SNP 13 of 2017 had reached the standard, with a value of 4.6. The Evaluation based on the Standard for libraries in higher education, it also exceeds the standard with a value of 4.2. The results of this study became the basis for the preparation of a long-term library development policy document as part of the quality manual document. A document that will form the basis of library development for the next 5 years.
ANALYZING THE IMPACT OF RESAMPLING METHOD FOR IMBALANCED DATA TEXT IN INDONESIAN SCIENTIFIC ARTICLES CATEGORIZATION Indrawati, Ariani; Subagyo, Hendro; Sihombing, Andre; Wagiyah, Wagiyah; Afandi, Sjaeful
BACA: Jurnal Dokumentasi dan Informasi Vol. 41 No. 2 (2020): BACA: Jurnal Dokumentasi dan Informasi (Desember)
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: 10.14203/j.baca.v41i2.702

Abstract

The extremely skewed data in artificial intelligence, machine learning, and data mining cases are often given misleading results. It is caused because machine learning algorithms are designated to work best with balanced data. However, we often meet with imbalanced data in the real situation. To handling imbalanced data issues, the most popular technique is resampling the dataset to modify the number of instances in the majority and minority classes into a standard balanced data. Many resampling techniques, oversampling, undersampling, or combined both of them, have been proposed and continue until now. Resampling techniques may increase or decrease the classifier performance. Comparative research on resampling methods in structured data has been widely carried out, but studies that compare resampling methods with unstructured data are very rarely conducted. That raises many questions, one of which is whether this method is applied to unstructured data such as text that has large dimensions and very diverse characters. To understand how different resampling techniques will affect the learning of classifiers for imbalanced data text, we perform an experimental analysis using various resampling methods with several classification algorithms to classify articles at the Indonesian Scientific Journal Database (ISJD). From this experiment, it is known resampling techniques on imbalanced data text generally to improve the classifier performance but they are doesn’t give significant result because data text has very diverse and large dimensions.

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