Judul: Analisis Pemalsuan Tepung Ikan dengan Dedak Padi Menggunakan Metode Image Analyis
Abstrak: Adulteration of feed ingredients is one of the main problems in ensuring quality. This study aims to identify the level of fish meal forgery using rice bran based on image analysis with a convolutional neural network algorithm. The number of datasets in this study was 3200 images which were divided into 2400 images for training data and 800 images for test data. The forgery treatment consists of P0=100% fish meal, P1= 90% fish meal+10% rice bran, P2=80% fish meal+20% rice bran, P3= 70% fish meal+30% rice bran and P4=100% rice bran. In the CNN algorithm, the image is processed through the input layer, feature extraction layer and fully connected. The results of this study obtained a training data accuracy value of 100% and a validation data accuracy value of 100%. In testing through the confusion matrix table, the results of 100% accuracy, 99% precision and 100% recal using 20 epochs were obtained. Based on this study, it was concluded that testing the counterfeiting of fish meal and rice bran using CNN can provide quite good and optimal results. Keyswords: adulteration analysis of feed ingredients, convolutional neural network, fish meal, image analysis, rice brain
Keyword: adulteration analysis of feed ingredients, convolutional neural network, fish meal, image analysis, rice brain

Judul: Variation of Rice Bran Quality in Dairy Cow Ration and Detection Of Counterfeiting Using Near Infrared Reflectance Spectroscopy (NIRS)
Abstrak: This study aims to create a database of rice bran and detect adulteration in rice bran using Near Infrared Reflectance Spectroscopy (NIRS) technology. The rice bran used in this study is rice brans from mills and poultry shops. This study used husks as an adulteration mixing material in rice bran with mixing levels of 25% rice bran: 75% husk, 50% rice bran: 50% husk, and 75% rice bran: 25% husk. The variables observed in this study were water content, ash content, crude fat, crude protein, and crude fiber. The analysis was carried out using proximate analysis and NIRS analysis. Calibration and validation were done using the Buchi NIRCAL 5.2 application. This study shows that the content of rice bran varies greatly and that the original rice bran from milling has better nutrient content than rice bran from the poultry shop. The accuracy of the NIRS method can be seen from the coefficient of determination, standard error, and RPD. The results of the T-test showed that the rice bran database was able to detect all parameters and was able to detect adulteration of rice bran.
Keyword: counterfeiting, NIRS, proximate analysis, rice bran

Judul: Distribution and Diversity of Ectoparasite Mites on Geckos in Indonesia
Abstrak: Data on the diversity and dispersal of parasitic mites on house geckos in Indonesia are very scarce. In this work, the distribution and diversity of mites living on three species of house geckos, namely Cosymbotus platyurus, Hemidactylus frenatus, and H. garnotii collected throughout Indonesia, has been elaborated. Geckos and mites were captured and immediately preserved in 70% ethanol. Whole mount of the mites was prepared by clearing in lactophenol followed by mounting on polyvinyl lactophenol solutions. The SEM preparation was conducted to examine the detail morphological characters of the mites. The results showed that among 448 individuals of geckos, 221 geckos were infected by Geckobia mites. Prevalences of C. platyurus, H. frenatus, and H. garnotii infested by mites were 14.8%, 50.69%, and 79.6%, respectively. Three different spesies of Geckobia (G1, G2, and G3) could be differentiated; and based on similarities of their morphological characters to ones described in published literatures, Geckobia G2 is Geckobia glebosum and Geckobia G3 is Geckobia bataviensis while G1 could not be identified to the species level. The highest mean intensity of Geckobia G1 infestation was found on H. garnotii (I=7.0), G. glebosum infestation on H. frenatus (I=3.5), and G. bataviensis infestation on H. garnotii (I=11.8). In general, C. platyurus was infested by the least number of mites. Geckobia G1 were found living on the skin folds on the claws, G. glebosum were found mainly on the body and thigh, and G. bataviensis were found on almost all parts of the host’s body. Geckobia mites are distributed randomly throughout Indonesian Archipelago, following the pattern of distribution of their hosts. So it is concluded that Geckobia G1, G. glebosum, and G. bataviensis are sympatric.
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