Judul: Steering automation on 4 wheels tractor using LabVIEW and RTK-DGPS (case study: 4 wheels mini tractors)
Abstrak: Automation has an important embedded function provided in almost all devices and recently becomes a revolutionary function to agricultural machinery. This research deals with the development of 4 wheels tractor’s steering automation prototype. Identification of principal parameters on tractor steering has been done, i.e. torque inflection, left and right maximum inflection angle of front wheel and steering rotation angle to front wheel inflection ratio. Proximity sensor to sense straight-line trajectory and potentiometer to sense inflection angle of front wheel were used, which are objected as feedback for steering control position. All hardware data acquisition were done through Ni-DAQ hardware interface. Data were processed with labVIEW to instruct the motor driver related to change of direction and speed of steering wheel. The result of the experiments showed that steering control based on proximity sensor gave unsatisfied performance. Maximum deviation on the asphalt straight-line trajectory reached the largest deviation of 6.8 cm outer and 6.1 cm inner. Turn right test at the trajectories, resulted the largest deviation at 4.5 cm outer and 7.0 cm inner, whereas turn left test resulted the largest deviation of 6.2 cm outer and 7.2 cm inner. Steering automation performance of RTK-DGPS testing results Steering automation performance of RTK-DGPS testing results on the asphalt path the deviation occurs, the right path of 223 cm, while the left path as far as 89 cm. The results of the land right deviation of 171 cm, while the left side as far as 415 cm while testing using plow implement. deviations occur for the right and left by 75 cm by 11 cm. While in the second test occurred deviation of 123 cm on the right, while on the left by 56 cm.
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Judul: Modification of automatic navigation system on controlling tractor for dry land tillage
Abstrak: This is the advanced research concerning to the development of automatic steering system on tractor with Global Positioning System navigation (Rahman, 2013). The purpose of this research is to improve algoritm from the previous research (Rahman, 2013) for the automatic navigation following the dry land tilling trajectory. The field test has been carried out in two steps, they are test of straight line without using implement and dry land tilling test using rotary tiller. Result of the straight line test without any mechanical component changes and without using implement, shows the average error 8.62 cm and maximum error 16.77 cm, this result is much better than the previous one by Rahman (2013) because of 28.17% average error decrease. Operation by rotary tiller following the dry land tilling trajectory produces the average error of straight line 6.9 cm and maximum error 31.64 cm, this result shows that the average error has 61.45% decrease compared to Rahman’s research (2013). In this research, it has been developed a new mechanisms of onwards and backwards transmition to support the tractor movement following the new trajectory and to separate the right and left brake mechanism which the work result of 1.5 m turning radius.
Keyword: tractor., automatic navigation, algoritm

Judul: Karakteristik Protein Mioglobin dan Parvalbumin pada Ikan Tongkol Komo (Euthynnus affinis).
Abstrak: Ikan tongkol mengandung dua jenis daging, yaitu daging merah dan daging putih. Dua jenis daging memiliki kandungan mioglobin dan parvalbumin yang berbeda. Penelitian bertujuan menentukan karakteristik protein mioglobin dan parvalbumin pada daging putih dan daging merah ikan tongkol komo (Euthynnus affinis). Kandungan mioglobin dianalisis secara kuantitatif menggunakan spektrofotometri, sedangkan parvalbumin diidentifikasi menggunakan Sodium Dodecyl Sulfate-Polyacrylamide Gel Electrophoresis (SDS-PAGE). Kandungan mioglobin daging merah lebih tinggi dibanding daging putih. Daging merah bagian tengah memiliki kandungan mioglobin tertinggi. Analisis spektrofotometri mengindikasikan bahwa jenis mioglobin yang dominan adalah metmioglobin. Proses pemanasan dapat merusak protein mioglobin. Kandungan parvalbumin ditemukan pada daging putih dan hanya terdeteksi pada bagian depan. Proses pemanasan tidak dapat merusak protein parvalbumin.
Keyword: daging merah, daging putih, metmioglobin