Judul: Analisis Percobaan Multilokasi Tanaman Jahe (Zingiber official rosc.) Menggunakan Model Ammi
Abstrak: Percobaan multilokasi dilakukan untuk mengetahui interaksi genotip dengan Jingkungannya. Analisis yang biasa digunakan untuk mengetahui interaksi tersebut adalah analisis ragam dan analisis komponen utama. Penggunaan kedua metodc tersebut tidak efelctif untuk menjelaskan secara Icbih mendalam pola interaksi antara genotip dengan lokasi terutama untuk struktur data yang kompleks. Analisis ragam merupakan suatu model aditif yang hanya menerangkan keefektifan pengaruh utama. Analisis ini mampu menguji interaksi tetapi tidak mampu menentukan pola genotip dan lokasi. Sedangkan analisis komponen utama hanya efektifmenjelaskan pengaruh interaksi tanpa menerangkan pengaruh utamanya. Pendekatan lain untuk mengatasi masalah tersebut adalah metode AMMI yang merupakan gabungan dari pengaruh aditifpada analisis ragam dan pcngaruh multiplikatif pada analisis komponen utama. Pada penelitian ini. model produksi jahe dapat diduga oIch model AMMI2 yaitu pengaruh utama ditambah dengan KUll dan KUI2. Biplot AMMI2 menunjukan bahwa terdapat deIapan genotifyang tidak stabil yaitu genotif IPB I, JPB2, IPB3. JMI, 1M2, IPIO, IPK4. dan JPK9, sedangkan sisanya tennasuk genotif yang stabil. Genotif
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Judul: Klasifikasi Genotipe Pada Data Tidak Lengkap  Dengan Pendekatan Model Ammi
Abstrak: Multilocations trials play an important role in plant breeding and agronomic research. Study concerning genotype-environment interaction needed in selection of genotype to be released. AMMI (Additive Main effect and Multiplicative Interaction) is one of statistical technique to analyze data from multilocations trials. The analysis of AMMI is a combining analysis between additive main effect and principal component analysis. The main restriction of using AMMI analysis is balance data. However a multilocations trials give an opportunity of the occurrence of unbalance data become very big. It is intended for every combination of genotype and location have the same number of replication. Therefore, we must estimate the data which do not complete. Incomplete data case, it is needed some data estimation method analysis, at this research employed connected data method and EM-AMMI algorithm to estimate incomplete data. Data which used in this research is obtained from Indon Spices Medicinal Crops Research Institute (ISMECRI) Bogor. It is a secondary data of ginger essential content resulted from multilocations trials, sixteen of genotype ginger which tested at five location in West Java. Simulation result shows that estimation using connected data will obtain smaller MAPE if its followed by two times EM-AMMI algorithm, for the percentage of data lose 10% to 20%. Production of ginger essential content estimated with AMMI2 model can explain 76.09% interaction structure among location and genotype. Seen from stability of genotype, there are 2 stable genotype, that is genotype 3 and 7. Genotype 8, 12, 15 specific at location B; genotype 9, 11, 14, 16 specific at location D and E; and genotype 1, 2, 4, 5, 6, 10 and 13 specific at location A and C.
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Judul: Sarcosporidiasis in slaughter animals
Abstrak: Sarcocystis which belong to the generally occuring parasites for they are found almost all over the countries of the world. Infection of Sarcocystis usually throught inges- tion of feces or flesh of infected animals. The pathogenesis of Sarcosporidiasis is considered as benign but when the Sarcocystis die in a host, sarcocystin or sarcosporidin is liberated thereby which lead to condemnation of meat in the abattoir. Besides condemnation of meat, Sarcocystis also causes: loss of appetite, anemia, lameness, weakness in the lion, diarrhea, fever, pyrexia, paralysis, emaciation, neuro logical disturbances, etc. " Amprolium "at the rate of 100 mg/Kg body weight per day has been practiced for prevention or to minimize Sarco- sporidiasis. Treatment must be started during incubation period. Shedding of Sarcocystis sporocysts in the feces of carnivores is the key factor in the spread of Sarcocystis infection. Therefore, control efforts must be based primarily on measures designed to break the cycle of Sarcocystis.
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