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INDONESIA
Universa Medicina
Published by Universitas Trisakti
ISSN : 19073062     EISSN : 24072230     DOI : -
Core Subject : Health, Science,
Health Professions Immunology & microbiology Medicine & Pharmacology Public Health
Universa Medicina (univ.med) is a four-monthly medical journal that publishes new research findings on a wide variety of topics of importance to biomedical science and clinical practice. Universa Medicina Online contains both the current issue and an online archive that can be accessed through browsing, advanced searching, or collections by disease or topic
Arjuna Subject : -
Articles 2 Documents
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Search results for , issue " Vol 26, No 3 (2007)" : 2 Documents clear
Exon prediction on DNA-genes of Plasmodium falciparum based on coding sequence structure using hidden Markov model Agoes, Suhartanti; Gunawan, Dadang; S, Sardy; Hoedojo, Hoedojo
Universa Medicina Vol 26, No 3 (2007)
Publisher : Faculty of Medicine, Trisakti University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18051/UnivMed.2007.v26.129-136

Abstract

BACKGROUNDA hidden Markov model (HMM) is used for exon prediction on DNA of genes Plasmodium falciparum that has a model structure based on exon region structure in coding sequence (CDS). The objective research was to develop a new structure model to predict exon on DNA-genes of Plasmodium falciparum based on CDS structure using the HMM system.METHODSModel design in CDS, between two exon regions can be found one intron region and the model state number is used for its region. Its state number is used by separating start codon from first exon region and stop codon from the last exon region up to 9. The Viterbi algorithm and the backward-forward method for transition as well as emission states are used for training process. Furthermore, Viterbi and Baum-Welch algorithms are used for the testing process. The correlation coefficient (CC) was used as performance indicator, as the ratio of the estimated state in the output and the original state in the input of the model. RESULTSThe simulation results has shown that the CC values depend on the given of the backward-forward transition state values randomly. The model with state number 9 showed the highest average of CC values of 0.7289 for Viterbi algorithm, and is 0.7166 for Baum-Welch algorithm. However, the lowest average of CC values has been found for the model with state number five. Its values are 0.6735 by using Viterbi algorithm and 0.6661 by using Baum-Welch algorithm. CONCLUSIONThe new structure model based on HMM system was valid to predict exon on DNA-genes of Plasmodium falciparum.
Merokok dan usia sebagai faktor risiko katarak pada pekerja berusia ³ 30 tahun di bidang pertanian Tana, Lusianawaty; Mihardja, Laurentia; Rif’ati, Lutfah
Universa Medicina Vol 26, No 3 (2007)
Publisher : Faculty of Medicine, Trisakti University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18051/UnivMed.2007.v26.120-128

Abstract

LATAR BELAKANGRuang lingkup penelitian ini adalah peranan faktor merokok dan katarak pada pekerja di bidang pertanian di Kabupaten Karawang. Katarak adalah kelainan mata berupa kekeruhan lensa, yang dapat mengganggu penglihatan bahkan sampai buta. 16% dari jumlah buta katarak di Indonesia terjadi di usia produktif. Salah satu tujuan penelitian adalah mendapatkan hubungan antara faktor merokok dengan katarak dalam rangka memperlambat katarak. METODERancangan adalah belah lintang. Sampel penelitian adalah petani dan keluarganya di Kecamatan Teluk Jambe Barat Kabupaten Karawang, dengan usia 30 tahun ke atas, yang terpilih secara purposive random sampling. Data diperoleh dengan wawancara, pemeriksaan dan pengukuran. Diagnosis katarak ditentukan oleh dokter spesialis mata dengan ophthalmoscope tanpa midriatika.Hasil Di samping faktor usia, faktor merokok mempunyai hubungan positif dengan katarak. Katarak berhubungan positip dengan merokok. Semakin berat derajat merokok maka semakin tinggi katarak.KesimpulanUsia dan merokok merupakan faktor risiko yang berhubungan positif dengan katarak pada pekerja di bidang pertanian.

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