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All Journal International Journal of Electrical and Computer Engineering Berita Biologi
Tiolita, Fitriana
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Electrical & Electronics Engineering

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Technology performance of Indonesia tsunami early warning system: technometric approach Utomo, Satrio; Soehadi, Gani; Setiadi Sadikin, Budi; Mahmud, Jaizuluddin; Santoso, Irawan; Hardono, Hardono; Tiolita, Fitriana; Fifianny, Helen
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i1.pp129-145

Abstract

Indonesia tsunami early warning system (Ina TEWS) is used for detecting earthquakes and tsunamis. The system currently is still under development and the government really needs information regarding the technological capabilities of the system in order to provide protection to the community from the threat of tsunamis and earthquakes. To produce the system and its components on an industrial scale, it is important to assess the extent of performance and readiness for technological development. The assessment used the technometric method which groups technological components into technoware, humanware, infoware, and orgaware, integrated with analytic hierarchy process. The results showed that the highest technology component contribution is technoware, and the lowest is infoware. Based on the magnitude of the contribution of technology components and intensity of technology, the priority order is technoware, humanware, orgaware, and infoware. The technology contribution coefficient is 0.522 (Good). The technology level is semi modern. Infoware is the lowest technological component, therefore improvement efforts are needed, namely structuring an integrated document system and improving standard operating procedures for manufacturing operational activities, especially in the testing and data validation.
GELLAN GUM, A SPHINGOMONAS MICROBIAL POLYSACCHARIDES: BIBLIOMETRIC ANALYSIS OF TRENDS AND APPLICATIONS Fahmi Achmad Saputra; Indria Puti Mustika; Tiolita, Fitriana; Rudiyono
Berita Biologi Vol 23 No 2 (2024): Berita Biologi
Publisher : BRIN Publishing (Penerbit BRIN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/beritabiologi.2024.5619

Abstract

Bacterial polysaccharides have gained considerable interest in recent years because of their wide range of applications. Gellan gum (GG) is a biodegradable microbial exopolysaccharide that has a wide range of commercial applications due to its versatility. Although GG is being used more frequently, research on it continues to evolve. This study used bibliometric analysis to examine patterns in GG application research over the last four decades. The data were obtained from the Scopus database, and the study of performance was carried out using R-Studio Biblioshiny. The important factors that were evaluated included the type of documents, the annual trends in publication, the subject areas covered, the titles of the journals, the analysis of citations, the distribution of countries, and the analysis of keywords. A total of 714 documents associated to GG were found, with articles being the most common document type. There has been a significant increase in research on GG applications since 2009. China became the primary provider, but the United States showed substantial participation in international collaborations. VOSviewer was used to show the co-authorship between countries and the co-occurrence of keywords in the field of GG research, emphasizing the predominant concentration on biomedical topics. The findings suggest that emergent research trends are primed for additional industrial growth.
Co-Authors Fahmi Achmad Saputra Fifianny, Helen Gani Soehadi Hardono Hardono, Hardono Indria Puti Mustika Irawan Santoso Mahmud, Jaizuluddin Rudiyono Setiadi Sadikin, Budi Utomo, Satrio