152 research outputs found
Analysis of the Accuracy and Completeness of SINTA Author Data Extraction
Full text linkThe advancement of information technology has increased the use of web scraping for scientific data collection, including from the SINTA (Science and Technology Index) platform, which provides researcher profiles, affiliations, publications, and citation data. However, scraping SINTA poses challenges, particularly when multiple authors share identical scores that trigger changes in display order. This instability can lead to duplicated or missing entries when using a single-pass scraping approach. This study evaluates the accuracy and completeness of SINTA author data collection by implementing repeated scraping as a strategy to handle dynamic data ordering. Experiments were conducted on the Universitas Muslim Indonesia (UMI) affiliation, targeting 915 active authors. The methodology involved page-structure analysis, spider development using Python and Scrapy, sequential scraping through pagination, and validation of data completeness and uniqueness. A three-second delay between requests was applied to maintain responsible scraping practices. The results show that a single scraping attempt failed to retrieve all authors, capturing an average of only 877.2 authors (95.86%). Due to unstable ordering, repeated iterations were required. Through 4–8 scraping cycles per trial, all 915 authors were successfully collected without duplication. These findings indicate that for platforms with dynamic data structures such as SINTA, repeated scraping provides a more reliable method for ensuring data completeness and accuracy, supporting the development of stable and responsible publication-data automation systems.The advancement of information technology has increased the use of web scraping for scientific data collection, including from the SINTA (Science and Technology Index) platform, which provides researcher profiles, affiliations, publications, and citation data. However, scraping SINTA poses challenges, particularly when multiple authors share identical scores that trigger changes in display order. This instability can lead to duplicated or missing entries when using a single-pass scraping approach. This study evaluates the accuracy and completeness of SINTA author data collection by implementing repeated scraping as a strategy to handle dynamic data ordering. Experiments were conducted on the Universitas Muslim Indonesia (UMI) affiliation, targeting 915 active authors. The methodology involved page-structure analysis, spider development using Python and Scrapy, sequential scraping through pagination, and validation of data completeness and uniqueness. A three-second delay between requests was applied to maintain responsible scraping practices. The results show that a single scraping attempt failed to retrieve all authors, capturing an average of only 877.2 authors (95.86%). Due to unstable ordering, repeated iterations were required. Through 4–8 scraping cycles per trial, all 915 authors were successfully collected without duplication. These findings indicate that for platforms with dynamic data structures such as SINTA, repeated scraping provides a more reliable method for ensuring data completeness and accuracy, supporting the development of stable and responsible publication-data automation systems
DETEKSI OUTLIER PADA DATA AUTHOR SCIENCE AND TECHNOLOGY INDEX (SINTA) MENGGUNAKAN METODE REGRESI LINEAR
Full text linkPublikasi merupakan suatu kegiatan yang dilakukan oleh para peneliti, tidak
sedikit karya ilmiah yang dipublikasikan digunakan sebagai rujukan dalam banyak
hal, baik untuk dalam hal akademis seperti menyelesaikan tugas akhir atau dalam
pengembangan penelitian yang sudah ada. SINTA (Science and Technology Index)
adalah merupakan portal yang berisi tentang pengukuran kinerja ilmu pengetahuan
dan teknologi yang meliputi antara lain kinerja peneliti, penulis, author, kinerja
jurnal dan kinerja institusi Iptek. Beberapa peneliti diportal sinta memiliki jumlah
score yang cukup tinggi dalam kurun waktu yang singkat, peneliti yang mendapat
score dengan cepat dicurigai melakukan tindakan anomaly. Oleh sebab itu dibuat
sebuah system yang dapat mendeteksi data dari setiap peneliti berdasarkan jumlah
score yang dimiliki menggunakan regresi linear. System akan ditampilkan berupa
grafik scatter yang memiliki garis gradient, dari 500 data sampel didapatkan data
peneliti bersih 496 dengan nilai regresi terendah 24,55 dan nilai tertinggi 111.23,
untuk mengetahui peneliti melakukan tindakan anomaly atau tidak dengan nilai
deviasi yaitu 8,94 ditambah nilai average yaitu 30,15. jika hasil nilai peneliti lebih
besar dari nilai deviasi maka peneliti dicurigai melakukan tindakan anomaly, jika
kurang atau sama dengan deviasi maka peneliti dianggap normal. Hasil akhir dari
penelitian jumlah data yang dianggap anomaly sejumlah 4 author, sedangkan yang
normal sejumlah 491 author.
Kata kunci : Deteksi kecurangan, penetuan tindakan anomaly menggunakan regresi
linear, standar deviasi
ROSEDUR PENGELOLAAN KAS KECIL PADA PT GAJAH MADA SUKSES TRITUNGGAL
Full text linkThis study aims to determine the petty cash management procedures at PT Gajah MadaSuksesTritunggal. The formulation of the problem is how to overcome the obstacles faced by the company in carrying out petty cash management at PT Gajah MadaSuksesTritunggal. This study uses a descriptive method where the author collects relevant data by interviewing directly the intended source in providing information to the author so that the author gets complete and in-depth data, as well as observation where the author makes observations directly to the object of research to see firsthand the activities carried out and Doing documentation and literature study where the author searches for and collects data about things in the form of notes and bookkeeping. Based on the results of data collection conducted at PT Gajah MadaSuksesTritunggal, it can be concluded that the term petty cash applied at PT Gajah MadaSuksesTritunggal uses a fluctuation system and has been running quite well, cash replenishment at PT Gajah Mada Sukses Tritunggal is in line with Prabowo opinion although there are a few constraint
Kecernaan In Vitro Alfalfa (Medicago sativa L.) pada Pemupukan Fosfat dan Umur Defoliasi Pertama yang Berbeda.
Full text linkMeasuring Publication Efficiency in Humanities Journals: An AI-Based Analysis of Diamond Open Access Models and SINTA Rankings
Full text linkThis study examines the influence of open access models, particularly Diamond Open Access (OA), and SINTA rankings on the submission-to-publication duration of accredited humanities journals in Indonesia. It also addresses a notable gap in existing literature regarding publication waiting times within the Indonesian humanities context. Employing a quantitative ex post facto design, the study analyzes a sample of 100 SINTA-accredited humanities journals that published articles in 2024. Submission-to-publication durations (calculated as the number of days between submission and final publication) were extracted using an AI-assisted metadata retrieval tool (Gemini). A total of 2,489 eligible articles were identified. Data were analyzed using descriptive statistics and one-way ANOVA to determine the effects of the independent variables. The findings show that the median submission-to-publication time for Indonesian humanities journals is 125.67 days, with substantial variability ranging from 0 to 991 days. The Diamond OA model does not significantly affect publication duration (Sig. > 0.05), indicating that author-fee-free access does not inherently lengthen editorial processes. Conversely, SINTA rankings show a significant effect (Sig. < 0.05), with journals in higher SINTA tiers tending to have longer publication timelines. This study provides timely empirical evidence regarding factors that shape publication efficiency in Indonesia’s humanities journals—an area previously underexplored. The methodological use of AI for metadata extraction also represents an important contribution. These findings offer practical insights for authors selecting suitable publication venues and for journal publishers seeking to enhance the efficiency of their editorial workflows
The strategy of enhancing article citation and H-index on SINTA to improve tertiary reputation
Full text linkDevelopment of technology as it is today, most students or lecturers in education community write documents or articles digitally. However, there are still many obstacles when searching for a legitimate source of reference and to know whether it contains plagiarism or not. Until present, there are still many students and lecturers who seek references from sources that have not been valid and not yet trusted, but it is considered a fatal mistake for writing articles and also writing thesis or dissertation from untrusted resources. Therefore, Google Scholar system helps to alleviate this problem. Google also facilitates the use of citations or references. The purpose of this research is to identify the number of citation H-Index owned by lecturers at tertiary education and score ranking achieved at tertiary education SINTA (Science and Technology Index) Ristekdikti. Citing an article from another publication is one form of scientific communication by the author or researcher. The large number of citations obtained from an article published in the publication indicates how significant the contributions of the author in improving the quality of the study field. In this study, citation analysis is used as an analysis of all citations which indicate the type of information sources used by students and lecturers in writing the journal as a result of their research. The following research use two methods of analysis: Mind Mapping methods and SWOT Analysis. After conducting research and executing the research strategy, it will result in improving the reputation by increasing the number of citation and lecturer H-Index at Google Scholar which can automatically also increase the affiliations of authors at tertiary education in Google Scholar. Lecturers who have already verified authors in SINTA (Science and Technology Index) Ristekdikti can contribute in improving the rank and number of tertiary education scores on Ristekdikti Science and Technology Index (SINTA). This research produces a comprehensive and straightforward mathematical formula that can be used in understanding SINTA index calculation which will hence improve the enthusiasm of education community in pursuing research as a team as well as individually. Hopefully, with this research, students and lecturers are able to increase their citation and H-index on articles in publications so as to contribute in improving the reputation and quality of universities in the countries
KAJIAN BIBLIOMETRIK: KOLABORASI PENULIS PADA JURNAL ILMU PERPUSTAKAAN TERAKREDITASI SINTA 2 PERIODE 2019-2023
Full text linkThe aim of this research is to investigate author collaboration in library science journals accredited SINTA 2 (BIP, BACA, Khizanah, and JKIP) from 2019 to 2023, which includes the growth of articles with collaborative authorship, the level of collaboration, and collaboration index. This study applies bibliometric methods, which involve measuring authorship in a scholarly publication. Research data were collected by directly accessing the respective journal websites, and the data were processed using MS Excel to create tables and perform necessary statistical calculations.Based on the search results, 390 articles were found during the period of 2019-2023. These articles are distributed among the journals as follows: 108 articles in the BIP journal, 92 articles in the BACA journal, 114 articles in the Khizanah journal, and 76 articles in the JKIP journal. Data analysis results indicate that in the BIP, JKIP, and Khizanah journals, almost all articles were written with collaborative authorship, while in the BACA journal, only the majority of articles were written with collaborative authorship. The collaboration level values obtained for the journals are as follows: BIP journal: 0.81, BACA journal: 0.73, Khizanah journal: 0.76, and JKIP journal: 0.80, while the collaboration indices for BIP journal is 1.96, BACA journal is 1.86, Khizanah journal is 2.08, and JKIP journal is 2.25.The conclusion of this research is that articles with collaborative authorship are more frequently published bylibrary science journals accredited SINTA 2
LITERATUR ILMU PERPUSTAKAAN, INFORMASI DAN DOKUMENTASI DI INDONESIA : SEBUAH KAJIAN BIBLIOMETRIK TERHADAP JURNAL TERAKREDITASI SINTA 2 TAHUN 2019-2023
Full text linkThis thesis discusses "Library, Information and Documentation Science Literature in Indonesia: A Bibliometric Study of Sinta 2 Accredited Journals 2019-2023". This research aims to determine (1) the distribution of keywords in 4 journals of Library, Information and Documentation Science accredited by Sinta 2 for 2019-2023 (2) Authors and institutions with single authors in Indonesia who are most often cited in Library, Information and Documentation Science journals. Documentation accredited by Sinta 2 years 2019-2023. The method used is quantitative research. The sample in this study used a saturated sampling technique, all members of the population were used as samples, namely 362 articles. The findings of this research are (1) There are a total of 1,467 keywords in the 362 population of articles analyzed in 4 Library Science, Information and Documentation journals accredited by Sinta 2 for the 2019-2023 period. The distribution of keywords produces the top 15 keywords that appear most frequently, namely the word "Bibliometrics" at 2.58%. then followed by the words "Academic Library" 1.49%, "Information Literacy" 1.15%, "Social Media" and "Librarian" 1.08%, "Library Services" 0.88%, "Library" 0.81% , “Journal” 0.74%, “School Library”, “Indonesia” and “Archive” 0.61%, “Information Seeking Behavior” and “Covid-19” 0.58%, “Research data management” and “VosViewer ” 0.47%. (2) There are 2,628 total citation frequencies obtained by authors from the Single Author Category, Institutions/Agencies and Local Indonesian Regulations found in 362 article populations in 4 Library Science, Information and Documentation journals accredited by Sinta 2 Period 2019-2023. The authors most frequently cited are Law of the Republic of Indonesia 3.27%, Sugiyono 2.81%, Ministry of Education, Culture, Research and Technology of the Republic of Indonesia 1.82%, Sulistyo Basuki 1.67%, National Library of the Republic of Indonesia 1, 48%, Endang Fatmawati 1.25%, Blasius Sudarsono 0.60%, Lexy J. Moleong 0.53%, Language Development and Development Agency 0.53%, Lasa Harsana 0.49, Central Statistics Agency 0.45%, Sharsimi Arikunto 0.41%, Association of Indonesian Internet Service Providers (APJII) 0.41%, Heriyanto 0.38% and Ministry of State Apparatus
Empowerment and Bureaucratic Reform of the Republic of Indonesia 0.38%. This research makes an important contribution to the understanding of library, information and documentation science literature in Indonesia through a bibliometric approach to Sinta 2 accredited journals during the 2019-2023 period. Through quantitative methods with a saturated sample of 362 articles, this research succeeded in producing significant findings that can increase understanding in this field. First, the distribution of keywords in the 4 Sinta 2 accredited journals shows a tendency to focus on several main topics. The keyword "Bibliometrics" dominates with a percentage of 2.58%, indicating the importance of the bibliometric approach in library science and documentation literature in Indonesia. Additionally, keywords such as “Academic Libraries,” “Information Literacy,” and “Social Media” also received significant attention, reflecting current and relevant issues in this domain. Second, citation analysis shows the significant contribution of single authors, institutions/institutions, and local Indonesian regulations in library, information, and documentation science literature. The laws of the Republic of Indonesia dominate as the most frequent source of citations, reaching a percentage of 3.27%. This shows that library regulations and policies have a major impact on the development of literature in this field. Thus, this research not only provides a comprehensive overview of the topical focus and main contributors in library, information and documentation science literature in Indonesia, but also provides a strong basis for further development in this field. These findings can become a basis for further research, curriculum development, and policy formulation in the library and information sector in Indonesia
Prediction of an optimum total resistance coefficient on catamaran using Design of Experiment (DOE) incorporated with CFD approach
No full textIn presence of complex hydrodynamic interferences between two demihulls on a catamaran ship has been prone to have a reliable prediction to her optimum total resistance. To achieve this, the author presents a Computational Fluid Dynamic (CFD) modelling incorporated with Design of Experiment (DOE) approach. Several parameters such as effect of Froude number ( ) with respect to various lateral separation ratios (S/L) of the catamaran have been taken into account. Here, the optimum total resistance coefficient (CT) has been mainly set within the range of S/L ratio 0.2 = S/L = 0.4 associated with Froude number 0.56 = = 0.66. The primary objective function of this optimization model has led towards minimizing a drag force and increased a lift force with respect to the above S/L ratios. In general, the simulation results had seemed quantitative similarity values for the optimum of 0.6589, 0.6599 and 0.6596 with S/L ratios of 0.2, 0.3 and 0.4, respectively. In the case of = 0.56, the optimum S/L ratios of 0.2993 and 0.3988 have resulted in insignificant reduction of CT by 0.62% and 0.32% as compared to S/L of 0.3 and 0.4, respectively. Similarly, the optimum S/L ratios of 0.2750 and 0.3750 with = 0.66 have led to reduce by 0.14% and 0.46% as compared to S/L of 0.3 and 0.4, respectively. This CFD simulation results are very useful as preliminary data for the optimised ship resistance, which is mainly required to predict a ship powering in the early design stage
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