Judul: Transformasi Koordinat Menggunakan Jaringan Syaraf Tiruan Propagasi Balik Levenberg-Marquardt (Studi Kasus: Daerah Jawa Bagian Timur)
Abstrak: Indonesia has used several local datums as ellipsoid geometry reference, one of which is Genuk datum, which uses Bessel Ellipsoid 1841 model. Later, Indonesia chose DGN-95 datum as the national standard datum, which uses WGS-84 ellipsoid reference. It means coordinate points which use Genuk datum before must be transformed into WGS-84. One of the methods to transform coordinates is by using similiarity transformation. This research is aimed to find an alternative method for coordinate transformation using Levenberg-Mardquardt Backpropagation. Data used in this research are coordinates of East Java, which are transformed from Genuk datum into WGS84 datum using similarity transformation and Levenberg-Mardquardt algorithm. MSE values from each method are compared, and the result shows that Levenberg-Mardquardt algorithm can be used as an alternative model for coordinate transform.
Keyword: 

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.
Keyword: 

Judul: Pelumas Aktif Dengan Bahan Dasar Minyak Ikan Dan Aditif Znochitosan Particle.
Abstrak: Pelumas memiliki peranan penting dalam meminimalkan fungsi keausan pada sistem mekanik. Synthetic liquids, minyak nabati (biolubricant) serta berbagai aditif telah banyak digunakan. Karakteristik minyak ikan dan sifat fungsional chitosan yang dapat berperan sebagai aditif, merupakan peluang dalam pengembangan pelumas baru yang ramah lingkungan. Tujuan penelitian adalah melakukan pembuatan dan karakterisasi pelumas aktif dengan bahan dasar minyak ikan dan aditif partikel ZnO-chitosan. Minyak dasar pelumas dibuat melalui reaksi epoksidasi minyak ikan dengan karakteristik bilangan oksiran (4,74±0,09) %, bilangan iod (49,91±1,9) gI2/100g, bilangan peroksida (59,33±3,05) meq/kg, dan asam lemak bebas (11,07± 0,10) %. Kombinasi aditif ZnO 0,5% dengan partikel chitosan 0,5% memberikan pengaruh terhadap pelumas minyak ikan dengan karakteristik terbaik, berupa scar diameter (1,16±0,04) mm, viskositas kinematik pada suhu 40°C (66,50±0,35) mm2/s dan korosi bilah tembaga grade 1A.
Keyword: Chitosan, minyak ikan, pelumas, ZnO