Judul: Perkiraan Nilai Reflectance Berdasarkan Warna Citra Digital Menggunakan Wiener Estimation untuk Menduga Usia Tanaman Sambiloto
Abstrak: This research developed a system to estimate the reflectance value and to predict Sambiloto plants age (Andrographis paniculata) using Wiener Estimation and probabilistic neural networks (PNN). Sambiloto is a medicinal plant containing Andrografolide compounds. Wiener Estimation is used to estimate the sambiloto reflectance values based on RGB values. According to experimental result, Wiener transformation using 2 orde give a good estimations. PNN is used to predict Sambiloto’s age. The accuracy of Sambiloto’s age using PNN is 73.61%. Results of this research can be used by the public to know about the quality of medical plant based on the age plant.
Keyword: polynomial, Probabilistic Neural Network, reflectance, sambiloto, Wiener Estimation

Judul: Sade: aplikasi android penduga spectral reflectance menggunakan metode wiener estimation untuk menduga usia daun sambiloto
Abstrak: Pada penelitian ini diajukan sebuah aplikasi android untuk mengestimasi usia daun sambiloto (andrographis paniculata) dari spektrum reflektan yang sudah diestimasi menggunakan wiener estimation. Wiener estimation merupakan suatu metode konvensional untuk mengestimasi data berdimensi tinggi dari data berdimensi rendah, contohnya dari kamera tiga channel (rgb) ke spektrum reflektan. Penelitian ini menggunakan dataset yang terdiri atas 97 standar warna, 15 daun sambiloto, dan kombinasinya. Nilai rmse dan gfc digunakan untuk mengevaluasi dataset mana yang paling bagus digunakan dalam metode wiener estimation. Hasil penelitian menunjukkan bahwa dataset 15 daun sambiloto dan orde polynomial kedua menghasilkan spektrum reflektan terekonstruksi yang terbaik. Nilai rmse dan gfc dari dataset ini adalah 3.57 dan 0.99. Akurasi identifikasi usia daun sambiloto dengan menggunakan pnn sebesar 65%. Hasil dari penelitian ini dapat digunakan oleh masyarakat untuk mengetahui kualitas daun tanaman obat berdasarkan usianya.
Keyword: android, daun sambiloto, reflektan, usia, wiener estimation

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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