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All Journal JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Liaison Journal of Engineering
Vanny Narita
Center for Pharmaceutical and Medical Technology, Agency for the Assessment and Application of Technology, Jakarta 10340, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Public Health

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Potensi Risiko Penyebaran Kasus Demam Berdarah Dengue di Jakarta Pusat Vanny Narita
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 1, No 1 (2011)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v1i1.16

Abstract

Dengue Hemorrhagic Fever (DHF) caused by four virus serotypes is a disease with A. aegyti and A. albopictus mosquitoes as vectors. DHF is a recurrent and high burdened disease in Indonesia. The purpose of this study is to analyze the spreading of DHF risk in Central Jakarta based on environmental factors. The cases number data year 2000-2009 was obtained from Center of Infectious Disease Research, National Institute of Health in Research and Development. Survey was performed in 38 subdistricts using random and purposive methods. Risk indicators were used in environmental data collection. The results of this study showed similar cyclical pattern each year.  March until May had a high DHF incident, while November until January had a relatively low DHF incident. In general, Central Jakarta had a medium risk potential of DHF spreading. Spearman rank analysis on adjacent areas gave various values. Subdistricts of Senen and Kemayoran had a low correlation, while subdistricts of Johar Baru and Cempaka Putih had the highest correlation among other subdistricts showing that there were vector migrations between these two subdistricts. Finally, the data obtained should be useful for minimalizing the risk of DHF spreading especially by vector control management.
Analisis Pohon Filogenik dari Protein Non-Struktural 1 (NS1) Virus Dengue di Kawasan Asia Tenggara Vanny Narita; Asma Omar; Agus Masduki
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 1, No 2 (2011)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v1i2.28

Abstract

Protein non-struktural 1 adalah protein Virus Dengue yang terkonservasi, tetapi protein non-struktural 1 dari Virus Dengue yang berbeda strain memiliki epitop berbeda yang dapat dikenali oleh sel-B. Epitop-epitop ini mungkin disusun oleh asam amino yang sama dalam urutan yang berbeda. Kemungkinan ini perlu dipertimbangkan dalam rangka memprediksi epitop sekuensial Virus Dengue. Tujuan penelitian kami adalah menganalisis hubungan kekerabatan dan susunan asam amino pada epitop spesifik yang telah dikonfirmasi dari sampel representatif gen protein NS1 dari Virus Dengue di kawasan Asia Tenggara. Hubungan kekerabatan protein non-struktural 1 dianalisis dengan perangkat lunak Lasergene®. Sekuen gen ditranslasi terlebih dahulu ke urutan asam amino, dan analisis pohon filogenetik kemudian dilakukan. Hasilnya menunjukkan bahwa hubungan kekerabatan protein non-struktural 1 berkisar antara 72-98%. Selanjutnya, epitop serospesifik dibandingkan berdasarkan hasil pengolahan data dnegan Lasergene. Perbandingan epitop serospesifik menunjukkan bahwa asam amino yang dominan dalam epitop adalah histidin, tirosin, glutamine dan serin  AbstractNon-structural 1 protein is a conserved protein of dengue virus, but non-structural 1 proteins of dengue virus from different strains have different epitopes which can be recognized by B-cell. These epitopes may be constructed of similar amino acids in a different arrangement. This possibility  must be considered in order to predict the sequencial epitope of dengue virus. The objective of our study was to analyze the phylogenetic relation and the arrangment of confirmed specific epitopes of dengue strains  from representatives of South East Asia’s NS1 dengue gene samples. The phylogenetic relation of non-structural 1 protein sequences from South East Asia was analyzed with Lasergene® software. The gene sequences were translated to amino acid sequences, and phylogenetic tree analysis was performed. The results showed that the relatedness values among full sequences of non-structural 1 protein were 72-98%. Furthermore, the serospesific epitopes were compared according to the Lasergene results. The serospesific epitope comparation showed that the dominant   amino acids in these epitopes were histidine, tyrosine, glutamine and serine.
Analisis Bioinformatika Berbasis WEB untuk Eksplorasi Enzim Kitosanase Berdasarkan Kemiripan Sekuens Vanny Narita; Arif Lelono Arum; Siti Isnaeni M; Nuri Y. Fawzya
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 1, No 4 (2012)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v1i4.84

Abstract

Eksplorasi enzim secara tradisional dengan kultivasi mikroba sekarang ini tidak lagi efisien, karena menghabiskan waktu dan biaya. Bioinformatik berbasis web hadir untuk melakukan serangkaian analisis sekuen, baik itu DNA maupun protein, yang dapat digunakan sebagai penelitian pendahuluan, sehingga ekplorasi enzim menjadi lebih tepat sasaran.  Penelitian ini telah melakukan analisis potongan sekuen 16S ribosomal RNA yang didapat dari 6 bakteri yang berasosiasi dengan udang.  Analisis yang dilakukan adalah untuk mencari tahu tersedianya sekuen tersebut telah ada di Gene Bank atau merupakan strain baru khas Indonesia yang belum terpublikasi. Dengan menggunakan database 16S Microbial dan Reference Genomic Sequence, serta fasilitas BLAST nucleotide dan CLUSTALW2 didapatkan 5 nama bakteri yaitu Micromonospora sp. L5, Aeromonas veronii B565, Staphylococcus epidermidis ATCC 12228, Burkholderia sp. JV3, dan Acinetobacter baumanniiAB307-0294. Kelima mikroba ini memiliki tidak mempunyai gen kitosanase tetapi penyandi kitinase. Ketidakhadiran gen kitosanase dalam genome mikroba menjadikan mikroba unik untuk diketahui sekuens gen kitosanasenya, yang juga berpeluang untuk dipublikasikan.AbstractEnzymes exploration which is traditionally conducted by microbial cultivation, is no longer efficient, for spending the time and cost. Web based bioinformatics presents to do a series of sequence analysis, for query both DNA and protein, which can be used as preliminary test in order to direct the research effectively. We have conducted an analysis of 16S ribosomal RNA sequences from 6 bacteria in association with shrimp. The goal is finding out the recording in Gene Banks, which if they have not recorded means they are Indonesian strain.  Using the 16S Microbial and Reference Genomic Sequence databases, as well as BLAST nucleotide and CLUSTALW2, we obtained 5 names of bacteria, i.e., Micromonospora sp. L5, Aeromonas veronii B565, Staphylococcus epidermidis ATCC 12228, Burkholderia sp. JV3, and Acinetobacter baumannii AB307-0294. These microbes do not have the chitosanase gene but have chitinase gene. The absence of chitosanase gene is unique its sequence that also gives opportunity for publication.
Comparison Of Red Ginger Dehydration Process Between Oven And Freeze Drying muhammad zacky rizano; tutun nugraha; vanny narita
Liaison Journal of Engineering Vol. 2 No. 2 (2022): Vol 2, No 2, Desember 2022
Publisher : Liaison Journal of Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

As the tendency towards health awareness has increased, the consumption of dried herbs has risen. The phytochemicals within the plant were known for their health benefits. However, dried herbs in the market these days seemed to lack active compounds. The deficiency of active compounds could be evolving from the dehydration process. The research was established to compare thedehydration process in the dried red ginger (Zingiber officinale var. rubrum) production between freeze drying and oven drying. The oven drying process was done by drying in the oven at 60°C for 24 hours. While the freeze‐drying process was done by freezing the red ginger at ‐60°C for 12 hours, then dried in a vacuum at 25°C. Physical appearance, microstructure, chemical constituents,moisture loss, extraction yield, Total Phenolic Content (TPC), and antioxidant activity were analyzed. The results showed that freeze‐dried seemed to have a light green color while the ovendried had a brownish-yellow color. The freeze-dried appeared to have less volume shrinking as the cell wall in the freeze‐dried was more preserved, which was shown by the SEM imaging. GCMS results conveyed that freeze‐dried looked to have more abundant compounds in higher molecular weight. In comparison, the oven-dried had more abundant in lower molecular weight. Also, the results indicated that there was a significant difference between freeze-dried and oven-dried in total phenolic content. However, there were no significant differences in moisture content, extraction yield,and antioxidant activity. Therefore, further research needs to be developed to compare both dehydration processes.Keywords: dehydration, freeze-drying, red ginger, oven drying
Co-Authors Agus Masduki Arif Lelono Arum Asma Omar muhammad zacky rizano Nuri Y. Fawzya Siti Isnaeni M tutun nugraha