Sjaeful Afandi
PDII-LIPI

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Interactive Visualization Dashboard for Exploring Scientific Publications in Indonesia Sihombing, Andre; Yaniasih; Indrawati, Ariani; Afandi, Sjaeful; Ningsih Maha, Rahmadani
Khizanah al-Hikmah : Jurnal Ilmu Perpustakaan, Informasi, dan Kearsipan Vol 11 No 2 (2023): December
Publisher : Program Studi Ilmu Perpustakaan UIN Alauddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/kah.v11i2a3

Abstract

Numerous bibliometric investigations have been carried out in Indonesia, primarily relying on publication data indexed exclusively in Scopus. This study aims to leverage scientific publication data from the Indonesian Scientific Journal Database (ISJD) by constructing an interactive visualization dashboard for the analysis of Indonesian scientific publications. This dashboard is expected to become an additional reference for researchers in the field of bibliometrics. The stages of making this dashboard consist of Identification of visualization needs referring to previous research; data feasibility check; data correction and update; data visualization; and evaluation to assess the correctness of the data and the resulting visualization. Evaluation results indicate that the dashboard's analysis system is functioning effectively, offering diverse analysis options. Nonetheless, the system has limitations related to data quality in ISJD, necessitating improvements in terms of completeness, appropriateness, and data updates. Future research will enhance the dashboard by incorporating citation analysis calculations to evaluate the performance of authors and journals.
Pengembangan Repositori Data Primer Riset Nasional: Studi Kasus Badan Riset dan Inovasi Nasional Suminarsih, Eka Meifrina; Afandi, Sjaeful
Jurnal IPI (Ikatan Pustakawan Indonesia) Vol. 8 No. 2 (2023): September
Publisher : Ikatan Pustakawan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1234/jurnal ipi.v8i2.163

Abstract

The spread of various repositories in institutions of Indonesia of course does not make it easy for data owners and data users to access data that has been stored in various repositories. In addition, different types of data, metadata and software used in storing research data are also a problem in the process of accessing all data in each institution. Therefore we need a national scientific repository that integrates all scientific data scattered, namely the National Scientifc Repository (NSR). NSR has been developed by BRIN. It is necessary to make observation about RIN to find out contribution of RIN in preserving research in Indonesia. The method in this research is a qualitative descriptive research. The result that RIN BRIN has roles in the process of collecting, processing, storing and accessing research primary data. RIN BRIN also facilitates data exchange and dissemination of research results so that it can support government program in one data in Indonesia. The development of RIN BRIN continues to be carried out so that data is maintained, safe and accessible according to developments in information technology.
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.
PENGEMBANGAN SISTEM TEMU KEMBALI INFORMASI DIGITAL FULLTEXT ARTIKEL JURNAL DI PDII – LIPI Afandi, Sjaeful; Ardiansyah, Firman; Soedarsono, Blasius
BACA: Jurnal Dokumentasi dan Informasi Vol. 36 No. 1 (2015): 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.v36i1.203

Abstract

One of the tasks in Center for Scientific Documentation and Information – Indonesian Institutes of Sciences (PDII - LIPI) is to disseminate the results of existing research in Indonesia. The research result can be either books or journal articles. Currently, activity of retrieval system on a journal article have still using a traditional retrieve systems regardless of the relevance of data search results. The order of search results based only on the order of data entry that need to be developed information retrieval of digital full text articles as data retrieval alternative. Development of information retrieval system that uses Sphinx Search software. The data used are the result of the conversion from Portable Digital Format (PDF) into XML as much as 1000 file. Data of conversion result, then are processed through “tokenisasi” and indexing techniques using Sphinx Search software. Retrieval system tested with a query that has been determined. Retrieval results calculated using standard recalls eleven that in mind the relevance and accuracy. Data retrieval system produces search results that are relevant and accurate with average presicion (AVP) value is of 79%.
ANALISIS SITIRAN JURNAL KEDOKTERAN PERGURUAN TINGGI (TRISAKTI, UNIVERSITAS MARANATHA, UKI ATMAJAYA) Parlina, Anne; Afandi, Sjaeful; Octavia, Rima
BACA: Jurnal Dokumentasi dan Informasi Vol. 33 No. 1 (2012): 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.v33i1.103

Abstract

Citation analysis is a branch of the study of bibliometrics, which analyzes the citation from various aspects. This study uses citation analysis method. The subject of this study is the bibliography of the articles from three health journal published in 2009. The journals are Universa Medicana, Jurnal Kedokteran Maranatha, and Majalah Kedokteran Damianus UKI Atmajaya. The research aims to find out the characteristics of cited literature, the author patterns and the network among health journals in Indonesia