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: Quality Control of Sambiloto (Andrographis paniculata) Using Portable Photometer and Pattern Recognition Methods.
Abstrak: Sambiloto (Andrographis paniculata) adalah salah satu tanaman yang dikenal sebagai antikanker, antidiabetes, dan antibakteri. Kendali mutu merupakan upaya untuk menjamin mutu dan khasiat yang dimilikinya. Keragaman mutu dari sambiloto dapat dilihat dari komposisi kandungan kimia yang dimiliki berdasarkan umur tanamnya. Pada penelitian ini keragaman mutu sambiloto yang berumur 1, 2, dan 3 bulan dievaluasi menggunakan teknik spektoskopi menggunakan alat fotometer jinjing yang digabungkan dengan teknik pengenalan pola, yaitu principle component analysis (PCA) dan partial least square discriminant analysis (PLSDA). Analisis kromatografi lapis tipis menunjukkan bahwa sambiloto dengan umur 1, 2, dan 3 bulan memiliki keragaman mutu senyawa aktifnya. Analisis menggunakan fotometer jinjing yang digabungkan dengan menggunakan teknik pengenalan pola, yaitu PCA dan PLSDA terhadap tanaman obat sambiloto telah berhasil mengklasifikasikan keragaman mutu berdasarkan umur tanaman (umur 1, 2, dan 3 bulan). Analisis PCA menggunakan dua komponen utama (PC) pertama dapat menjelaskan 95% variasi dalam data (PC 1 = 60% dan PC 2 = 35%). Analisis PLSDA menghasilkan 3 model, yaitu model umur 1 bulan (R2 kalibrasi = 0,9975, R2 prediksi = 0,9972, RMSEC = 0,0238, RMSEP = 0,0269), 2 bulan (R2 kalibrasi = 09972, R2 prediksi = 0,9970, RMSEC = 0,0248, RMSEP = 0,0274), dan 3 bulan (R2 kalibrasi = 0,9975, R2 prediksi = 0,9965, RMSEC = 0,0235, RMSEP = 0,0263).
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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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