Judul: Application of neural network for predicting durian maturity and ripeness using destructive and non-destructive methods
Abstrak: Tujuan penelitian ini adalah untuk menerapkan model jaringan syaraf tiruan (JST) dalam menduga tingkat ketuaan dan kematangan buah durian dengan metode destruktif dan non-destruktif Untuk mencapai tujuan tersebut, ditentukan sifat fisiko-kimia dan akustik buah durian beserta hubungan antara sifat tersebut selama proses penuaan dan pematangan durian baik untuk buah durian yang rusak maupun tidak rusak
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Judul: Development of non destructive grading for export mangosteen using neural network
Abstrak: Grading of mangosteen for export in Indonesia, so far, is done manually based on visual evaluation. The practices cause ununi form quality, since theinside defects of fruits are undetected. Human errors also occur frequently due to the fatigue of the workers. This research aimed to develop a non destructive grading system to evaluate mangosteen quality for export using neural network. Input data for neural network were parameters obtained from image pr ocessing and ultrasonic measurement which had strong relationships with quality characteristics of mangosteen. The results indicated that area, red color index (r), blue color index (b), hue, saturation, intensity, and the velocity of ultrasonic wave were correlated with the physico-chemical characteristics of mangosteen. The accuracy level in evaluation of calyx wholeness using image processing was 100 %.
Keyword: Non destructive grading, Mangosteen, Neural network, Ultrasonic wavelength, Image processing, Pengolahan citra, Jaringan syaraf tiruan

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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