Judul: Transformasi Koordinat menggunakan Jaringan Syaraf Tiruan Propagasi Balik Resilient (Studi Kasus: Daerah Sumatera Bagian Selatan)
Abstrak: Genuk Datum and World Geodetic System 1984 (WGS’84) are used as geodetic reference frames in Indonesia. To fully utilize the technology of WGS’84, it is necessary to transform twodimensional (2D) coordinate data from Genuk to WGS’84. The four-parameter similarity transformation method is frequently used for 2D coordinate transformation in geodesy. In this study, Resilient Backpropagation (Rprop) model is evaluated as an alternative 2D coordinate transformation method. Rprop is compared with four-parameter similarity transformation over a test area in terms of mean square error. The result indicates that the employment of Rprop transformed 2D coordinate (x, y) is more accurate than four-parameter similarity transformation and can be useful for 2D coordinate transformation between Genuk and WGS’84.
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Judul: Transformasi Koordinat Menggunakan Jaringan Syaraf Tiruan Propagasi Balik Resilient
Abstrak: Genuk datum, which is based on Bessel 1841 ellipsoid model, is a local datum used in Indonesia. On the other hand, World Geodetic System 1984 (WGS-84), a datum used in GPS measurement, is commonly used by the rest of the world. Therefore in order, to fully utilize WGS- 84, Genuk datum has to be transformed to WGS-84 datum. A model is needed to transform coordinates from Genuk datum into WGS-84 datum. This research discusses coordinate transformation using similarity transformation (4-parameter) and Resilient Back-propagation Neural Network. Similarity transformation is a traditional method for coordinate transformation. The Resilient Back-propagation Neural Network provides a new technology for coordinate transformation. Coordinate transformation in this research is conducted on West Java coordinate data. The data are split into two parts: a third are used as testing data and the rest are used as training data. The test results show that the coordinate transformation using Resilient Backpropagation Neural Network can be used as an alternative model to coordinate transform.
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Judul: Insecticidal Activity of Essential Oils Leaves of Cinnamomum spp. (Lauraceae) against Crocidolomia pavonana and Their Phytotoxicity on Broccoli Seedlings
Abstrak: Essential oils from leaves of 13 species of Cinnamomum were tested for their insecticidal activity on the cabbage head caterpillar Crocidolomia pavonana with leaf immerse method. The results showed that the treatment with 1% (w/v) essential oils leaves of C. celebicum, C. multiflorum, C. sintoc, and C. verum caused 21.45, 93.65, 60.30, and 76.10% mortality, respectively. Based on the results of phytotoxicity and insecticidal activity tests, C. multiflorum oil was further tested at 6 concentration levels. In all treatments, larval mortality has occurred at 24 hours after treatment (HAT) and increased at 48 HAT. LC50 of C. multiflorum oil at 24 and 48 HAT was 0.504 and 0.396%, respectively. The treatment with C. multiflorum oil at ≤0.31% did not inhibit the development of C. pavonana larvae. Determination of the chemical constituents of Cinnamomum oils were carried out by gas chromatography-mass spectrometry (GCMS). Totally, 345 compounds were identified. Methyleugenol constituted the main component (49.4%) of leaf essential oil of C. multiflorum and was assumed to be responsible for the insecticidal activity of the oil against C. pavonana larvae. LC50 of pure methyleugenol obtained at 0.365% (48 HAT) and 0.363% (72 HAT). The results showed that C. multiflorum was more effective with LC50 value equivalent to methyleugenol content of 0.32% (24 HAT) and 0.24% (48 HAT).
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