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Articles by Herman Pratikno
Total Records ( 4 ) for Herman Pratikno
  Herman Pratikno and Harmin Sulistiyaning Titah
  Background: Corrosion is the phenomena on the offshore structures which is impossible to be avoided. Corrosion is occurred by physical, chemical and biological process. Generally, biological corrosion is caused by presence of microbes, which on its process can be individual or make a new colony with other bacteria. Methodology: This study were to determine the corrosion rate on 2 types of steel structures (ASTM A106 and A53) in deep seawater (salinity of 33‰), medium seawater (salinity of 35‰), shallow seawater (salinity of 37‰) and to determine bio-corrosion rate was caused by 3 species of bacteria Escherichia coli, Pseudomonas fluorescens and Thiobacillus ferrooxidans in three salinity (33, 35 and 37‰). Results: The results showed maximum corrosion rate, without bacteria of ASTM A106 and ASTM A53 at day 10 in salinity of 33‰ were 0.5797 and 0.6173 mm year–1, respectively. It indicating that ASTM A106 had a better corrosion resistance level compared with ASTM A53 in marine environment. The T. ferrooxidans caused the highest bio-corrosion rate (1.3212 mm year–1) in salinity of 33‰ compared with bio-corrosion rate by E. coli and P. fluorescens on ASTM A53. Meanwhile, the maximum bio-corrosion rate by T. ferrooxidans on ASTM A106 was 1.253 mm year–1. Conclusion: The bio-corrosion rate on ASTM A53 increased by two-fold compared with the condition without bacteria addition (corrosion rate of 0.6173 mm year–1).
  Wimala L. Dhanistha , Herman Pratikno and Wisnu Wardhana
 

Indonesia is an archipelagic country a more reliable transportation is a type of sea transportation. One of the obstacles in transportation is that 38% of the causes of marine accidents are high-wave natural disasters caused by wind speeds. The higher the wind speed, the higher the wave will occur. Artificial neural networks are artificial intelligence that can be used to predict high waves. These neural networking advantages can be used for nonlinear systems. Neural networks can be used as high-wave predictors to predict the wave height of the last few hours to come.

  Herman Pratikno and Wimala L. Dhanistha
  Underwater welding is the most important in the offshore field. Welding method that is often used is the method of welding SAW (Submerged Arc Welding). The use of this welding method due to its low cost, relatively faster process, lighter and more varied form of construction. The SAW welding principle is almost the same on the SMAW (Shielded Metal Arc Welding) welding process but the flux present on the SAW is shaped like sand while in SMAW the electrode is enclosed by flux. In addition to the SAW method normally used in the shipping industry is FCAW (Flux Cored Arc Welding). The use of this welding method is due to its low cost, relatively faster process, uniform welding result and machine used automatically. This welding usually uses an additional protective gas to avoid being contaminated with air around the welding area.
  Wimala L. Dhanistha , Herman Pratikno and Silvianita
  Indonesia known as an archipelago where sea transport is transport is dependable by for shipping Inter Island. The height of waves is one of the causes of accidents at sea transportation for that this research will be carried out the prediction of a wave height to minimalise of the accident in sea transportation. Neural network is one of algorithm intelligent for nonlinear advantage predictions which having blackbox can studying the relations between input and output system. Neural network is very suitable as prediktor the waves. The prediction results show that the neural network has small’s RMSE.
 
 
 
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