Judul: Sinkage prediction model of a four-wheel tractor based on plate sinkage test
Abstrak: Sinkage of a tractor on a field will cause motion resistance which reduces its traction. This will lead to the reduction of tractor’s efficiency. This study was conducted to predict the sinkage of a four-wheel tractor based on plate sinkage test. The parameters used for the plate sinkage test were load, physical and mechanical properties of soil (water content, bulk density and penetration resistance) and the dimensional parameters of the plate (the plate area and contact shape ratio). The method used were predicting sinkage using plate sinkage test with special consideration on contact shape ratio and comparing the model with Bekker’s sinkage model (1960). The test resulted that water content and load on area of plate were significantly affect the depth of sinkage as a parameters. The model which is has the best correlation to the sinkage of tractor is k2 model i.e. 7 6 6 69
Keyword: tractor, sinkage, shape ratio index, plate sinkage

Judul: Sinkage prediction of Terrestrial Robotic Vehicle (TRV) using plate sinkage test
Abstrak: Plate sinkage tests method have been performed by many researchers to assess the sinkage of conventional off-road vehicles, one of it is Bekker’s model. The need of sinkage prediction for Terrestrial Robotic Vehicles (TRV) is necessary, hence the objectives of this study was to determine sinkage prediction for TRV based on plate sinkage test method. The methodology used in this study was the measurement of sinkage of several plates with different area and contact shape ratio on a terrain with different physical and mechanical properties. The plate sinkage test’s results were compared with the observed sinkage of TRV in static and dynamic states. Microsoft Excel and SPSS 17 software were employed to process and analyze data. The results showed that linear regression models of plate sinkage tests with the highest coefficient of determination is the model plate sinkage tests Z’5. The test plate sinkage model is Z’5= -7.903 + 0.100 P + 0.303 KA for soil types CL (clay loam) with a moisture content content of 29.43%, up 32.29% and bulk density g/cm3 1.06 g/cm3 until 1.18 g/cm3.
Keyword: Terrestrial Robotic Vehicle,, soil characteristics, sinkage prediction model for TRV, plate sinkage test

Judul: Ekologi merak hijau jawa (Pavo muticus muticus) Linnaeus 1758 pada beberapa tipe habitat di Ujung Timur Penyebarannya Jawa Timur, Indonesia
Abstrak: Merak hijau jawa merupakan salah satu jenis burung yang dilindungi.di Indonesia berdasarkan SK Mentan No 66/Kpts/Um/2/1973 dan Peraturan Pemerintah Republik Indonesia No 7 tahun 1999. Menurut ICBP (The International Council for Bird Preservation) merak hijau sebagai jenis burung yang tergolong terancam secara keseluruhan (globally threatened) baik populasi maupun habitatnya, sedangkan CITES mencantumkan merak hijau ke dalam Appendix II, merak hijau dari alam tidak bisa langsung diperdagangkan dan BirdLife International (2007) memasukkan golongan burung yang endangered. Tekanan terhadap populasi dan habitat merak hijau jawa sangat besar, sehingga kondisi populasinya menurun pada setiap penyebaran lokalnya, habitatnya terfragmentasi bahkan terisolasi. Tekanan terhadap populasi terutama karena perburuan liar. Namun demikian fakta menunjukan bahwa merak hijau jawa masih ada (exist), hal ini memberikan gambaran bahwa burung ini tentunya memiliki strategi ekologi tertentu untuk tetap bertahan hidup di alam pada berbagai tipe habitat.
Keyword: Pavo muticus muticus, Call count transect method, Pavo cristatus, Pavo muticus, Pavo muticus spicifer, Pavo muticus imperator, Pavo muticus muticus, Javan Green Peafowl, East Java