Judul: Transformasi Optimal Analisis Procrustes: Program Aplikasi pada MATLAB dan Penerapannya
Abstrak: Analisis Procrustes digunakan untuk menentukan nilai perbedaan minimum melalui transformasi geometris yaitu translasi, rotasi, dan dilasi. Dengan menggunakan counter example, dapat diketahui bahwa ukuran Procrustes tidak simetrik. Cara agar ukuran Procrustes menjadi simetrik adalah dengan melakukan normalisasi sebelum atau sesudah proses rotasi. Proses normalisasi sudah terdapat pada built-in function procrustes(𝐗������, 𝐘������) di MATLAB. Terdapat dua masalah pada built-in function analisis Procrustes pada MATLAB yang difokuskan pada karya ilmiah ini yaitu dimensi data pada matriks dan matriks transformasi optimal. Analisis Procrustes dapat diterapkan pada analisis korespondensi untuk mencari ukuran kesesuaian. Analisis Procrustes untuk hubungan provinsi dengan lapangan pekerjaan utama menghasilkan ukuran kesesuaian masing-masing untuk profil baris dan kolom sebesar 88.65% dan 86.10%. Ukuran kesesuaian masing-masing untuk representasi profil baris dan kolom sebesar 98.05% dan 97.22%.
Keyword: analisis Procrustes, analisis korespondensi, MATLAB, transformasi optimal, ukuran kesesuaian

Judul: Ukuran kesesuaian analisis korespondensi melalui analisis procrustes
Abstrak: Correspondence analysis is a part of multivariate analysis studying the relationship of two or more variables which are displayed in rows and columns simultaneously from contingency table in low dimensional space using the Chi-square distance. From correspondence analysis, it is obtained row and column profiles co-ordinate matrix. This study aims to calculate the goodness-of-fit of correspondence analysis via Procrustes analysis and applied to two examples of data, i.e. the relationships between categories of smokers and groups of employees and the relationship between the province and the main jobs. To obtain the Procrustes analysis, we need to determine minimum difference through three geometric transformations, i.e. translation, rotation, and dilation. In correspondence analysis, we need to do three transformations on Procrustes analysis to obtain goodness-of-fit in row and column profiles co-ordinate matrix. The result of Procrustes analysis for relationship between employee groups and smoking habits to row and column profiles is 98.64% and 99.53% respectively. While the result of Procrustes analysis for relationship between province and the main jobs to row and column profiles is 91.83% and 88.25% respectively.
Keyword: Procrustes analysis, goodness-of-fit, correspondence analysis

Judul: Antibody Responses against Newcastle Disease and Evaluation of Infectious Bronchitis Maternal Derived Antibody on Vaccinated Layers.
Abstrak: Information of maternal derived antibody (MDA) and onset of immunity after vaccination is important to determine appropriate vaccination programme of chickens. The aim of this study was to evaluate duration of Infectious Bronchitis (IB) MDA and evaluate onset of immunity Newcastle Disease (ND) vaccination among layers. All layers were vaccinated using live ND and Infectious Bursal Disease (IBD) at one day old age, and received Avian Rhinotracheitis (AR) vaccine at 4 day old age. Serum samples were collected at various ages: 7, 10, 14, 20, 22, 24, 29 and 35 day old. The presence of ND antibodies was measured by the hemagglutination inhibition (HI) test, whilst the presence of IB antibodies was measured by enzyme-linked immunosorbent assay (ELISA). Our study showed that ND antibodies were at positive level until 24 day old age, and reached protective level ≥ 25 only at 7 day old age, whilst IB MDA were positive up to 17 day old age. This result indicating the needs of ND booster vaccination at least at 24 day old and IB vaccination at 17 day old age.
Keyword: antibody, Infectious Bronchitis, layers, Newcastle Disease, vaccination