Indonesia has great marine resource potentials due to its geographical location. Among other resources, anchovy becomes the prior Indonesia’s marine commodities greatly consumed by domestic residents and demanded by many exporters. Unfortunately, the production process of dried anchovy seemingly encounters several problems, especially in the drying process. Since the drying process uses sunlight, it comes into problems with a cloudy weather or rain. Less intensity of sunlight might make the drying process result not perfect dried anchovy. Moreover, current manual monitoring technique remains ineffective drying process. Thus, this study aims to design a prototype of automatic anchovy drying robot using Arduino ATmega 2560 microcontroller to address the problems. This study considers the uses of Arduino ATmega 2560 as a robot controller, DC motor as a driving system, and LDR and rain sensors as automatic modules. LDR sensors are used as a robot roof drive or anchovy drying container to open automatically when sunlight is detected. In addition, rain sensor serves to close the robot roof when it detects rains and the robot turns into its initial position. This robot is further expected to be able to work automatically and optimally in helping anchovy drying process.
AISI 316L is a type of 316 austenitic stainless steel with characteristic very low carbon content. This material contains several elements such as molybdenum-chromium-nickel which are aimed to improve the corrosion and oxidation resistances at high temperature applications. The low carbon content and the high level of corrosion resistance of AISI 316L allow this material to be applied to the surgical implant applications in the human body as well as on the welding applications. Several methods of surface treatment applied in AISI 316L are aimed to improve the mechanical properties and corrosion resistance. Dry shot peening is one of cold deformation processes which is conducted on the material surface to improve the mechanical strength. The process was performed by firing balls of steel with particular sizes of 0.5 mm, 1 mm, 2 mm, and 3 mm on specimens with a certain speed that comes from the pressure of the air compressor. The results show that parameter of shot angle at the dry shoot peening process has an influence on microstructure and hardness of the AISI 316L austenitic stainless steel. The highest value of hardness was achieved using 3 mm diameter of steel ball with the value of hardness reached 560 VHN on metal surface then gradually decreased as the depth increased.
The development of technology, information and communication provides a new alternative to predict cow weight through Image Processing. This study utilizes Image Processing in visualizing the measurement of Chest Circumference and cow body length automatically. The cow weight estimation are very dependent on cow image segmentation result. Image segmentation method used in this study is local adaptive thresholding combined with the Connected Component Labeling (CCL) method. The implementation of the Chest Circumference and Body Length endpoints in the foreground is converted into centimeters (cm) to ensure cow weight estimation can be calculated using the Lambourne formula. In this study, the accuracy of RMSE was obtained from the cow weight data taken at 150, 170 and 190 cm distance. The accuracy is 20.35, 30.77 and 23.33 respectively. This research can be contribution to development of local cattle farms in Indonesia.
Road is one of the transportation infrastructure which is very important for vehicle in riding activity. The vehicle is growing every year, road infastructure should be getting attention for comfortable and safety in riding. However, there are still many apprehensive road condition in the form of damaged roads, especially potholes. One of the problem in repairing road is road damage detection process which is done manually by the human, by this way the process needs a longer time. This research develops road damage detection system by using image processing and road damage mapping which are saved in database. This system uses webcam for capturing the road in real time, webcam is located in font of vehicle and GPS module is used for marking road damage location which is controlled by arduino uno microcontroller.
ASSAB 618S steel is a type of medium carbon steel that is often used as a machining tool for the petroleum industry. Based on the observation, it does not work optimally due to high acidity. As a result, there is corruption in the machining tool. In this study, an electroplating process will be carried out as a way to overcome corrosion in machining made of ASSAB 618S steel. The variables involved independent variables, dependent variables, and control variables. The independent variable is the temperature of the electrolyte solution with variations of 55°C to 70°C. The dependent variable is the corrosion rate on the results of electroplating hard chrome coating. The controlled variable is the distance of electrodes with variations of 3 and 9 cm. The data obtained showed that the highest corrosion rate was obtained from the temperature variation of the electrolyte solution of 55 degrees Celsius and the electrode distance of 9 cm, while the lowest corrosion rate was obtained at a temperature variation of 70 degrees Celsius electrolyte and 3 cm electrode distance. The data is in accordance with the theory of corrosion rate that is smaller better. It means that the smaller the corrosion rate, the better the corrosion resistance. Based on the results of this study, it can be concluded that the temperature of the electrolyte solution, the distance of the electrode, and between both interactions give an influence on the corrosion rate of the electroplating hard chrome coating.
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