Judul: The Influence of Squash mosaic comovirus infection on The Mosaic Disease Development on Five Varieties of Cucumber (Cucumis sativus L.).
Abstrak: Squash mosaic comovirus (SqMV) adalah patogen tular benih yang banyak menginfeksi tanaman Cucurbitaceae, keberadaannya di Indonesia sudah meluas. Tujuan penelitian adalah 1) mengetahui persentase SqMV terbawa benih pada lima varietas mentimun yaitu Yupiter, Venus, Japan File, Vario, dan Calista; 2) mengetahui pengaruh infeksi SqMV terhadap perkembangan penyakit mosaik; dan 3) mengetahui pengaruh infeksi SqMV terhadap persentase virus terbawa benih generasi selanjutnya. Lima varietas mentimun diinokulasi dengan SqMV secara mekanis kemudian diamati gejala yang muncul, masa inkubasi, dan kejadian penyakit. Pengujian virus terbawa benih dilakukan dengan metode growing-on test. Deteksi virus dilakukan menggunakan metode indirect ELISA dan DIBA. Berdasarkan pengujian sampel daun mentimun yang berasal dari pertanaman mentimun di Situgede, Bogor dengan menggunakan antiserum Cucumber mosaic cucumovirus, Squash mosaic comovirus, Zuchini yellow mosaic potyvirus, Watermelon mosaic potyvirus, dan Tobacco ring spot potyvirus diketahui bahwa SqMV merupakan satu-satunya jenis virus yang ditemukan dengan titer paling tinggi mencapai 0.8155. Tanaman mentimun varietas Venus, Yupiter, Calista, dan Vario yang terinfeksi akan menunjukkan gejala infeksi SqMV yang bervariasi yaitu mosaik hijau, mosaik kuning hijau, pemucatan tulang daun, dan malformasi pada buah. Pengamatan keparahan penyakit dan titer virus menunjukkan pola perkembangan penyakit mosaik yaitu menurun pada fase berbunga dan meningkat lagi pada fase berbuah. Pada fase vegetatif titer virus berkisar dari 1.3845 sampai 1.5603, pada fase berbunga titer virus menurun, berkisar dari 0.8966 sampai 1.2780, dan pada fase berbuah meningkat kembali yaitu dari 0.8849 sampai 1.4420. Tanaman mentimun varietas Japan File memberikan respons yang berbeda karena penurunan keparahan penyakit berlanjut sejak fase generatif hingga berbuah. Benih komersial (F1) yang banyak digunakan petani terbukti membawa SqMV dengan efisiensi mencapai 100% dan tanaman varietas Venus yang terinfeksi SqMV menghasilkan benih keturunan (F2) yang membawa SqMV dengan efisiensi mencapai 60.87%.
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Judul: Efisiensi Penularan Cucumber mosaic virus, Zucchini yellow mosaic virus, dan Squash mosaic virus Melalui Benih Cucurbitacea
Abstrak: Seed-transmitted viruses have been known to cause negative effect on seed germination and seedling growth and may cause disease spread more widely in the field. Research was conducted to identify seed-transmitted viruses from Cucurbitaceae and to study their potential role as primary inoculum in the field. Cucurbitaceae seeds used in the experiment i.e. cucumber, bottle gourd, watermelon, zucchini, melon, and kabocha were obtained from commercial seeds available in the market. Evaluation of seed-transmitted viruses was done using growing on test method. I-ELISA and DIBA was used for detection of virus infection. Three viruses i.e. CMV, SqMV, and ZYMV were detected from cucumber field in Situgede, Dramaga, Bogor. CMV was detected from melon variety Kinanti and zucchini seed (2%) as well as from kabocha seed (12%). SqMV was detected 80%, 6%, and 2% from cucumber, melon variety Kinanti and bottle gourd seeds, respectively. Virus infection was detected in seedling up to 5 weeks after transplanting, i.e. CMV in kabocha and SqMV in cucumber. This results indicated the potential role of seed-transmitted viruses as primary inoculums in the field
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Judul: The addition of a noun word graph dictionary module in bogordelftconstruct
Abstrak: Knowledge Graph is a new method in Natural Language Processing that is used to describe human language and displaying it into a graph form. BogorDelftConStruct is a tool to analyze Indonesian text, developed by Deni Romadoni (2009). The tool has limited feature, opening many opportunities to add some other features. The goal of this research is to develop a noun word graph dictionary module and add it in BogorDelftConStruct. The patterns of the noun word-graph are based the research of Saleh (2009). In this research, of the 20 patterns in Saleh (2009) only 13 patterns are used, since some of word graph patterns which have the same affix and also have the different meaning. As many as 144 nouns were used in scenario testing, with 1 error was generated (99,33% accuracy).
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