Judul: Identifikasi daun tanaman Jati menggunakan K-Nearest Neighbour dengan ekstraksi fitur ciri morfologi daun
Abstrak: Tanaman jati adalah tanaman yang dapat beradaptasi di iklim tropis, sehingga jenis tanaman ini dapat tumbuh baik di Indonesia. Famili dari tanaman jati adalah Lamiaceae yang dapat menghasilkan kayu bernilai ekonomi tinggi. Banyaknya varietas tanaman jati membuat identifikasi tanaman tersebut menjadi sulit. Penelitian ini mengembangkan sistem untuk identifikasi tanaman jati menggunakan ekstraksi ciri morfologi daun. Metode klasifikasi yang digunakan adalah k-nearest neighbor (KNN). Data yang digunakan pada penelitian ini adalal 6 jenis varietas jati. Pembagian data latih dan data uji menggunakan k-fold cross Validation dengan nilai k-5. Akurasi rata-rata terbaik yang dihasilkan adalah 3.33%.
Keyword: K-Nearest Neighbour, Morfologi daun, Tanaman jati

Judul: Identifikasi tanaman jati menggunakan Probabilistic Neural Network dengan ekstraksi fitur ciri morfologi daun
Abstrak: Teak plant (Tectona grandis Linn. F) is one type of forest products that has considerable potential to be developed in Indonesia. The large number of teak plant species causes difficulties in identifying teak plant species identity. It takes knowledge of an expert in the field of teak plants to be able to identify the species of teak. The leaves are a source of easy observation and is available as a source of observations over time. This research proposed a new system to identify the teak plant leaves using Probabilistic Neural Network (PNN) classification and the extraction of characteristic features using Morphology. The system identifies 6 species of teak plant. The data are divided into four subsets and used as training data and test data. The PNN is trained using 90 leaves of the 6 species of teak plant. The identification using PNN produced 77.5% average accuracy.
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Judul: Sectoral Effects Of Monetary Policy
Abstrak: The purposes of this study are three folds: (1) identifying which channels are effective for transmission of monetary policy; (2) assessing whether the transmission mechanisms at industry level are consistent with that at aggregate level; and (3) explaining why and how a channel becomes effective. The analyses are facilitated impulse response function (IRF) derived from a vector autoregression (VAR) model. Three channels are identified in this study: interest rate, real credits and exchange rate channels. The IRF results show that exchange rate is the only effective channel in affecting aggregate output and at least in five industries (the manufacturing industry; the construction industry; the trade, hotel, and restaurants industry; the transport and communication industry; and the finance, real estate, and business services industry). Meanwhile, the other two channels are not effective at aggregate and all industry. This finding suggests that there is some form of consistency between aggregate effects and industry effects. Moreover, the effect of real depreciation tend to be contractionary and thus supporting the idea of Krugman and Taylor (1976) among others. Output contraction seems to be associated with inflationary effect of the depreciation. This is a truly Keynesian type demand side story: following a real currency depreciation, purchasing power tends to weaken which then soaks the aggregate demand.
Keyword: transmission of monetary policy, industry level, IRF