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All Journal Jurnal Ilmu Dasar Jurnal Teknologi Informasi dan Multimedia
Adawiyah, Siti Rabi’atul
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Computer Science & IT Control & Systems Engineering Mathematics

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Experimental Study of TiO2 Nanoparticles Fabrication by Sol-gel and Co-precipitation Methods for TiO2/SnO2 Composite Thin Film as Photoanode Endarko, E.; Adawiyah, Siti Rabi’atul
Jurnal ILMU DASAR Vol 20 No 1 (2019)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (214.502 KB) | DOI: 10.19184/jid.v20i1.9154

Abstract

Sol-gel and coprecipitation methods successfully prepared titanium dioxide (TiO2) powders with anatase structure. The TiO2 powders are then used to fabricate pure TiO2 thin-film or mixed with SnO2 powders for the TiO2/SnO2 composite thin film. Furthermore, the structural, morphological, as well as the optical properties of films were also investigated. The results showed that the synthesized thin-film of TiO2 powders by sol-gel method obtained better crystallinity and microstructure compared to the synthesized thin film by co-precipitation method. In the DSSC system, these features are needed to increase the electron mobility that responsibility for transport and recombination of photoexcited electrons. SEM images exhibited the smooth surface and uniform in particle size obtained by the addition of SnO2 powders in composite films. The composite thin film also indicated a higher transmittance value. Keywords: sol-gel,co-precipitation,anatase, composite.
Social Media dan Media Online Analytic Universitas Islam Negeri Mataram dengan Lexicon Based Method dan Latent Dirichlet Allocation Rizal, Ahmad Ashril; Adawiyah, Siti Rabi’atul; Rafa, Anisa Muziya
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 2 (2025): May
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i2.620

Abstract

The rapid development of digital technology has revolutionized online and social media analysis, making it an indispensable tool for educational institutions such as Universitas Islam Negeri (UIN) Mataram to comprehend public perception and trending topics. By applying the Latent Dirichlet Allocation (LDA) approach to identify trending topics and the Lexicon-based method to analyze sentiment toward these topics, this research addresses the challenge of identifying key issues and public sentiment. Research data was collected from various news platforms and social media such as Twitter or X, Instagram, and Facebook, using the Google News API and Selenium for web scraping. The collected data was then processed to generate findings relevant to this research. The results of the LDA show that the most frequently discussed topics are related to the achievement of superior accreditation by UIN Mataram, student achievements, and academic activities. Meanwhile, using the lexicon-based method, the sentiment analysis results found that most topics related to UIN Mataram received dominant positive sentiment. Several topics showed positive sentiments, reaching almost 100%, such as topics 2 and 10, which were related to achieving accreditation. Meanwhile, several other issues were dominated by neutral sentiment, indicating that discussions on the topic tended to be informative without triggering significant emotions. Overall, the UIN Mataram institution was viewed positively in the news and media discussions analyzed.
Co-Authors Endarko Endarko Rafa, Anisa Muziya Rizal, Ahmad Ashril