Judul: Klasifikasi Formula Jamu Berdasarkan Khasiat Menggunakan Oblique Decision Tree dengan Optimasi Menggunakan Algoritme Genetika
Abstrak: Indonesia is rich in biodiversity, consisting of a wide variety of medicinal plants. However, the use of plants as a medicinal or herbal medicine is still limited. It is difficult to find the information of medicinal plants which are generally obtained from a rare book/text document or inherited knowledge from generation to generation. One of the most important information is to determine the efficacy of an herbal formula based on medicinal plants that composing it. This research aims to develop a classification system based on the composition of medicinal efficacy of plants using oblique decision tree optimized by Genetic Algorithm. The result of decision tree determine plant identifier for each efficacy. The proposed method with data set of 231 plants is able to obtain 94.47% accuracy
Keyword: oblique decision tree, herbal, genetic algorithm, efficacy, classification

Judul: Sistem Klasifikasi Khasiat Formula Jamu Dengan Metode Voting Feature Interval 5
Abstrak: Jamu is Indonesian traditional medicine consisting of foliage, fruits, roots and other ingredients natural materials. Herbal medicine has variations of formula comprising a combination of hundreds of medicinal plants herbal formula so that the classification process is an interesting issue to be investigated. The purpose of this research is to create a classification system based on the composition of medicinal properties of plants using Voting Feature Intervals 5 (VFI5) method. This study also tried to generate the weights of each plant as the important information in the formula of Jamu. The weights are yielded based on the intensity of the occurencies of plant in Jamu ingredients. The results of this study will be compared to the previous studies using Partial Least Square – Discriminant Analysis ( PLSDA ) and Support Vector Machine (SVM). The accuracy of the proposed method is 94% comparable to those of the previous studies using PLS-DA and SVM. However, the proposed method perform faster than those of using PLS-DA and SVM in term of computation time. In addition, this research can be used to find existing plants that cause incorect results in the classification process.
Keyword: VFI5, classification, tradicional medicine, herbal medicine, Jamu

Judul: Characterizations of low alloy steel sae 4422  plated with chromic acid (Cro3)
Abstrak: Characterizations of low alloy steel SAE 4422 plated with chromic acid (CrOrO3) was use Optical Microscopy (OM), Scanning Electron Microscopy (SEM), X-Ray Diffraction (XRD), RD),Energy Dispersive Analysis of X-Ray (EDAX), Hardness Test and Roughness Test. Microstructures analysis exhibits cracks and grain boundaries microcracks as a characteristics of chrome metal found at plating metal. Perlite and Ferrite as grains of steel found at base metal with grain boundaries around it. Phase analysis of plating metal appropriate to chrome metal with lattice constant (a) is 2.559 Å and phase analysis of base metal appropriate to iron ferrite with lattice constant (a) is 3.318 Å. Both plating and base metal have cubic system. Chemical analysis of plating metal at surface section exhibits that cracks area have highest value of carbon element compare with grains and grains boundaries area. While chemical analysis of base metal at cross section exhibits that perlite have highest value of carbon element compare with ferrite and grain boundaries. The hardness value of plating metal at surface section and cross section are 753 and 637 VHN. While, the hardness value of base metal and interface area at cross section are 205 and 373 VHN. The roughness value at measurement points of chrome surface for as received sample are 0.445 μm. Observation used Optical Microscopy and Scanning Electron Microscopy exhibits surface irregularities combine to form surface texture of plating metal at surface section.
Keyword: