Judul: Prevalensi, Derajat Infeksi, dan Faktor Risiko Infeksi Parasit Darah pada Sapi Potong di Kecamatan Cikalong, Tasikmalaya
Abstrak: This research was aimed to determine the prevalence, intensity of infection, and risk factors of blood parasite infection in cattle of Cikalong subdistrict, Tasikmalaya. Blood smears samples collected from 114 cattle in Cikalong subdistrict and processed using Giemsa staining method. Quantitative evaluation of parasitemia (percentage of infected RBCs) was assesed by counting of the number of parasite erythrocytes present per 500 cells at a magnification of 1000×.The potential of risk factor in regard with livestock management were obtained by interviewing the farmer. The result showed that the highest prevalence rate of blood parasite was Theileria sp. (60.53%), followed by Babesia sp. (44.74%) and Anaplasma sp. (30.70%). Based on sex, the mean of blood parasite in bull was higher than cow. Babesia sp. and Theileria sp. infection in cow was significantly than bull (p<0.05), while Anaplasma sp. infection was not significantly (p>0.05). Based on age, the mean of blood parasite in cattle (>12 month) was higher than calf (<12 month). Babesia sp. and Anaplasma sp. infection in cattle was not significantly than calf (p>0.05), while Theileria sp. infection was significantly (p<0.05). Generally, the prevalence rate of blood parasite was influenced by livestock management, feeding, and vector control was not significantly (p>0.05).
Keyword: risk factor, prevalence, cattle, Blood parasite

Judul: Kejadian Infeksi Parasit Darah pada Ternak Kerbau (Bubalus Bubalis) di SPR Harapan Manis Kabupaten Serang.
Abstrak: Penelitian ini merupakan kajian lintas sektional yang bertujuan untuk mengidentifikasi jenis parasit darah, mengetahui prevalensi infeksi, menghitung tingkat parasitemia, menentukan faktor risiko (umur dan jenis kelamin) dan diferensial leukosit kerbau (Bubalus bubalis) di SPR Harapan Manis Kabupaten Serang. Sampel ulas darah dikumpulkan secara acak dari 57 kerbau kemudian dibuat preparat ulas darah dan diwarnai dengan Giemsa. Informasi tentang umur dan jenis kelamin kerbau diperoleh dengan mewawancarai peternak menggunakan kuesioner. Hubungan tingkat parasitemia dan faktor risiko (umur dan jenis kelamin) dianalisis menggunakan uji kruskal-wallis. Hubungan signifikan pada profil leukosit antara kerbau terinfeksi parasit darah dan tidak terinfeksi dianalisis dengan uji mann-whitney. Hasil penelitian menunjukkan kerbau yang terinfeksi oleh Theileria sp. 36.84%, Anaplasma sp. 24.56% dan Babesia sp. 22.81%. Tingkat parasitemia termasuk infeksi ringan dengan hasil berturut-turut yaitu Theileria sp. sp. 0.39±0.25, Babesia sp. 0.45±0.28, dan Anaplasma sp. 0.48±0.36 Tingkat parasitemia tertinggi pada infeksi ganda disebabkan oleh (Anapasma sp. dan Babesia sp.) 0.94±0.30. Tingkat parasitemia dengan faktor risiko jenis kelamin ditemukan adanya perbedaan nyata antara kerbau jantan dan betina pada infeksi Babesia sp. Sementara Theileria sp. menunjukkan hasil yang berbeda nyata lebih tinggi pada kerbau anakan dibandingkan kerbau pedet dan dewasa pada tingkat parasitemia dengan faktor resiko umur. Hasil uji mann whitney menunjukkan tidak ada perbedaan nyata (P>0,05) pada profil leukosit antara kerbau terinfeksi dan tidak terinfeksi. Hal ini karena Infeksi telah berjalan kronis sehingga tidak mempengaruhi jumlah leukosit.
Keyword: Differensial leukosit, kerbau, parasit darah, parasitemia, prevalensi

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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