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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Mekanova : Mekanikal, Inovasi dan Teknologi
Karo karo, Justaman Arifin
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Aerospace Engineering Automotive Engineering Computer Science & IT Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Comparison of Activation Functions on Convolutional Neural Networks (CNN) to Identify Mung Bean Quality Karo Karo, Ichwanul Muslim; Karo Karo, Justaman Arifin; Ginting, Manan; Yunianto, Yunianto; Hariyanto, Hariyanto; Nelza, Novia; Maulidna, Maulidna
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 4 (2023): Article Research Volume 7 Issue 4, October 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i4.13107

Abstract

Mung bean production levels by farmers in Indonesia are not stable. When there is a surplus, the stock of mung beans in the warehouse will accumulate, the storage factor affects the quality of mung beans. Indicators of quality mung beans can be seen from the color and size through direct observation. However, the aspect of view and assessment and the level of health of each observer is a human error in the classification of mung bean quality so that the results are less than optimal. One alternative way to identify object quality is to use deep learning algorithms. One of the popular deep learning algorithms is convolution neural network (CNN). This study aims to build a model to classify the feasibility of mung beans. The process of building the model also goes through the image preprocessing stage. In the process of building the model, there are ten setup parameters and four setup data used to produce the best model. As a result, the best CNN algorithm model performance is obtained from data setup I, with accuracy, precision, recall and F1 score above 75%. In addition, this study also analyzes Rel U and Adam activation functions on CNN algorithm on model performance in identifying mung bean quality. CNN algorithm with Adam activation function has 92% accuracy, 92.53% precision, 91.9% recall, and 92.19% F1 score. In addition, the performance of CNN algorithm with Adam activation function is superior compared to CNN algorithm with Adam activation function and previous study
BESARNYA PERTAMBAHAN PANJANG RANTAI BUCKET CONVEYOR TIPE IBS AKIBAT BEBAN ANGKAT 4 TON DAN BEBAN MAKSIMUM Darmadi, Herry; Jajuliansyah, Jajuliansyah; Nelza, Novia; Rachmiadji, Irwan; Karo Karo, Justaman Arifin
Jurnal Mekanova : Mekanikal, Inovasi dan Teknologi Vol 9, No 2 (2023): Oktober
Publisher : universitas teuku umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jmkn.v9i2.8622

Abstract

Chain is a series of links or rings that are connected or attached to one another so that they form an elongated shape. Chains are used to move loads or continue rotation. One of the chains that is often used is steel. One of them is a roller chain installed in a bucket conveyor, where this conveyor functions to convey crumb rubber from one process to the next. In this research the author carried out two tests on the chain to obtain an increase in the length of the chain. In the first test the chain plate was carried out in a tensile test with a load of 4 tons and the second test was carried out with a maximum load until the chain broke. After the author carried out the first test, the amount of increase in chain length (ɛ) after being averaged was 0.54%. In the second test, the maximum load (Fmax) after being averaged was 7.298 tons, and the increase in chain length (ɛ) was 7.2%.
Co-Authors Darmadi, Herry Ginting, Manan HARIYANTO HARIYANTO Ichwanul Muslim Karo Karo Jajuliansyah, Jajuliansyah Maulidna, Maulidna Nelza, Novia Rachmiadji, Irwan Yunianto Yunianto