Judul: Studi Banding Kualitas Antara Ayam Hutan Hijau (Gallus Varius) Dan Ayam Lokal (Gallus Domesticus)
Abstrak: A comparative study of sperm quality between the Green Jungle fowl (Gallus varius) and the Lokal fowl (Gallus domesticus) has been conducted. This experiment was conducted to identify the sperm quality of Green Jungle fowls (Gallus varius) and the Domestic fowls (Gallus domesticus). Semen was collected from 5 Green Jungle fowls and 5 Domestic fowls by massage and evaluated macroscopic and microscopically. Semen evaluation includes volume of ejaculation, smell, color, viscosity, pH, concentration, mass movement, percentage of motility, life and death and normality of the sperm cells. Semen was collected and evaluated individually with 5 replications weekly. The results showed that the semen quality of the Green Jungle fowl (Gallus varius) was significantly different (p<0,05) in volume, concentration and motility. However no differences were found in percentage of living and normality. Ejaculate volume of the Green Jungle fowl was 0,02±0,004 ml with sperm concentration of (62,5 ± 21)x 107 cells/ml and percentage ofliving 84,5 ± 3,2%. Ejaculate volume the Domestic fowl was 0,16 ± 0,02 ml with sperm concentration (176,8 ± 49,4) x 107 cells/ml and percentage of living 85,1 ± 4,4 %. Sperm motility of the Green Jungle fowls was 68,1 ± 2,9 % with slight mass movement (+). Sperm motility of the Domestic fowls was 71,9 ± 1,1 % and mass movement of (+) while pH from both the Green Jungle fowl and the Domestic fowl were similar. Percentage of normality of spermatozoa of the Green Jungle fowl was 80,7±3,1% and that of the Domestic fowl was 86,2±3,6 %. Semen of the Green Jungle fowl is like semen of the Domestic fowl were similar in color, smell, and viscosity. It could be concluded that semen quality of domestic fowls in some aspects is superior as compared to those of the green jungle fowl.
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Judul: Ketahanan sperma ayam hutan hijau (Gallus varius) untuk membuahi sel telur ayam domestika  (Gallus gallus var. domesticus)varius)  dan gambaran sterilitas hasil persilangannya
Abstrak: Ayam Hutan Hijau (Gallus varius) merupakan satwa asli Indonesia, karena dalam penyebarannya hanya terdapat di pulau Jawa, Madura, Kangean, Bawean, Bali, Lombok, Sumba, Flores, Alor, dan pulau-pulau kecil disekitarnya. Bentuk eksterior ayam Hutan ini indah dan suara cukup memikat.。 Satwa ini disukai dan sering diburu orang, sehingga keberadaannya semakin punah. menurun dan terancam Persilangan antara ayam Hutan Hijau jantan dengan ayam Domestika (Gallus gallus var. domesticus) disebut ayam Bekisar. Ayam hibrid ini yang jantan merupakan unggas kesayangan dan kesenangan yang mempunyai nilai komoditas yang tinggi. Unggas ini merupakan identitas Propinsi Jawa Timur. satwa Inseminasi Buatan sangat efektif untuk menolong persilangan yang tidak bisa atau sulit untuk kawin secara alami (Toelihere, 1985). Mc. Faquhar, Lake (1964) dan Orgasewara, Huang (1963) dalam Watson (1978) menyatakan bahwa persilangan antar genus dapat terjadi dengan ini. Bahr dan Bakst dalam Hafez (1987) menyatakan bahwa dalam saluran kelamin unggas betina sperma mengalami seleksi pada "Utero-vaginal junction". Sperma yang dapat bebas dari seleksi ini kemudian memasuki lipatan mukosa dan saluran kelenjar dibelakang Infundibulum. Persilangan antar dua spesies yang berbeda biasanya menghasilkan keturunan (F1) yang mandul, menurut teori evolusi kemandulan ini merupakan usaha alam untuk meles- tarikan spesies agar tidak muncul spesies baru (Hanson, 1981 dalam Evalinda, 1989). ...
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Judul: Addition of preposition word graph generator module in bogor_delft_construct application
Abstrak: Knowledge graph is a new method used to analyze text and represent in a graph form. Word graph consists of concept and relation which represents the meaning of a word in a graph form. Ontology used in a word graph structure consists of 8 binary relationships, 4 frame relationships, and a focus. Bogor_Delft_Construct is an application that implements knowledge graph method to analyze text written in Bahasa Indonesia, However, this application still has some limitations in analyzing vocabularies such as prepositions. This research aims to add a module to the application that could generate word graph of preposition based on preposition patterns prosposed by Wulan (2009). The addition of preposition word graph generator module that was done in Bogor_Delft_Construct could recognize 23 prepositions which were followed by its auxiliary words. The preposition’s auxiliary words were divided into 12 documents; each has different nominative meaning.
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