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All Journal Journal of Mechanical Science and Engineering Science and Technology Indonesia
Firmansyah Burlian
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Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Environmental Science Materials Science & Nanotechnology Mechanical Engineering Physics

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Design of Identification System for Red and White Meranti Using Colours Detection Method Firmansyah Burlian
Journal of Mechanical Science and Engineering Vol 3, No 1 (2016): Journal of Mechanical Science and Engineering
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (254.406 KB)

Abstract

Development technology of computer programs caused to produce novelty from the development of these technologies. Besides to education, the development of technology can be utilized in working, even all. Digital image processing is a part the development of it. This research develop of identification system of red and white meranti by using color detection method. The program used in this research is a Matlab program. In this research, database made by 25 pieces red meranti and 25 pieces white meranti. Image of woods captured side by side using webcams. Then taking the values of primary colors RGB (red, green, blue) to be used as database. Identification system will test 5 times for every red and white meranti with different positions. Success rate of identification system red and white meranti using color detection method is 90.83%.
Design Of Spring Valve Cylinder Head Opening Tools Firmansyah Burlian
Journal of Mechanical Science and Engineering Vol 3, No 2 (2016): Journal of Mechanical Science and Engineering
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (422.849 KB)

Abstract

During spring valve release process of the car cylinder head, workshops experiencing difficulties due to the released manually. The release is done by hitting the outside of the valve spring retainer which can cause damage to the valve spring retainer and also may reduce the stiffness the valve spring. It is designed tools for release spring valve on the cylinder head car. In this paper is conducted for the initial phase to design a tool, and then carried out the calculation of the force required to remove the workpiece spring valve. Tools will be made in accordance with the calculations have been done then proceed with testing tools. Once the tool has been tested, the evaluation and study of literature that will be used for the selection of materials. From the data calculation, the force required to depress the valve spring is 1942.4 N and material using the steel SC-42. Mechanism of action of the tool using a lever or a lever in order to facilitate suppression valve springs.
Performance of Cans Classification System for Different Conveyor Belt Speed using Naïve Bayes Yulia Resti; Firmansyah Burlian; Irsyadi Yani
Science and Technology Indonesia Vol. 5 No. 4 (2020): October
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (956.44 KB) | DOI: 10.26554/sti.2020.5.4.111-116

Abstract

The classification system in the sorting process in the can recycling industry can be made based on digital images by exploring the basic color pixel values ​​of images such as R, G, and B as variable inputs. In real time, the classification of cans in the sorting process occurs when cans placed on a conveyor belt move at a certain speed. This paper discusses the performance of can classification systems using the Naïve Bayes method. This method can handle all types of variables, including when all variables are continuous. Two types of conveyor belts are designed to get different speeds, and all images of the cans are captured on both conveyor belts. Two models of Bayes naive are built on the basis of the different distribution assumptions; the original model (all Gaussian distributed) and the model based on the best distribution. Performance of the classification system is built by dividing data into the learning data and the testing data with a composition of 50:50 in which each data is designed into 50 groups with different percentages on each type of cans using sampling technique without replacement. The results obtained are, first, the speed of the conveyor belt when capturing an image affects the pixel values of red, green, and blue and ultimately affects the results of the classification of cans. Second, not all input variables are Gaussian distributed. The classification system was built using assumption the best distribution model for each input variable has the better average accuracy level than the model that assumes all input variables are Gaussian distributed, and the accuracy level of classification on the first speeds of conveyor belt with a gear ratio of 12:30 and a diameter of 35 mm has an accuracy that is better than the other speed, both on the original model and the model based on the best distribution. However, it is necessary to test more statistical distribution models to obtain significant results.
Co-Authors Irsyadi Yani Yulia Resti