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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Mekanova : Mekanikal, Inovasi dan Teknologi Journal of Artificial Intelligence and Engineering Applications (JAIEA) JURNAL REKAYASA KIMIA & LINGKUNGAN
Karo karo, Justaman Arifin
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Energy 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%.
Implementation of Gauss Elimination Method on Electrical Circuits Using Python Karo Karo, Ichwanul Muslim; Karo Karo, Justaman Arifin; Yunianto; Hariyanto; Falah, Miftahul; Ginting, Manan
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.536

Abstract

Problem solving in engineering, science and other disciplines often requires complex and in-depth analysis. A problem that requires effort is determining the value of electric current in a circuit. Generally, the determination of the current value in a circuit with the calculation of Kirchoff's theorem. This research presents an alternative approach to determine the value of electric current in a circuit by combining the Gauss Elimination method and Kirchoff's theorem. The determining process support by Python. This method is effective in finding unknown values in a system of linear equations through matrix operations. A deep understanding of currents in electrical circuits is essential in the design, analysis, and maintenance of electrical systems. The application of the Gauss Elimination Method becomes important in determining the value of current in complicated electrical circuits. The Gauss Elimination Method is able to solve electrical circuit problems using matrix principles to achieve accurate and relevant solutions
Utilization of Natural Extracts as Corrosion Inhibitors in the Seawater Environment Alam, Pocut Nurul; Rosnelly, Cut Meurah; Karo karo, Justaman Arifin; Ilhamdi, Akhar; Soekarno, Raiyan; Aslam, Izzan Nur
Jurnal Rekayasa Kimia & Lingkungan Vol 16, No 2 (2021): Jurnal Rekayasa Kimia & Lingkungan (December, 2021)
Publisher : Chemical Engineering Department, Syiah Kuala University, Banda Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23955/rkl.v16i2.18156

Abstract

Infrastructures in coastal area are mostly made of metal which is susceptible to corrosion due to direct contact with the seawater. The Seawater greatly affects the corrosion rate of metals because it contains chloride ions which can penetrate metal surface. The process of corrosioncan beinhibited or slowed by decreasing the corrosion rate in one way, namelythe addition ofcorrosion inhibitors derived from natural materials containing tannin compounds. This study proposed organic corrosion inhibitors which were derived from natural material extracts (coffee leaves andcatappaleaves), the effect of time variations on the efficiency of organic inhibitors was investigated, and the efficiency of each inhibitor organic was compared. The corrosion rate with and without inhibitors was analysed by using the method of weight loss. The results showed that the corrosion rate canbe reducedby adding the natural ingredients extract. The addition of 2% concentration coffee leaves extract resulted in the lowest corrosion rate with the addition of 0.00226 mmpy. The addition ofcatappaleaves extract concentration as much as 2% yield the lowest corrosion rate with the addition of 0.0012 mmpy. The highest efficiency of inhibition system was obtained by using 2%catappaleaves extract at 14 days soaking time at 69.23%, and the lowest by using 1% coffee leaves extract.
Co-Authors Cut Meurah Rosnelly Darmadi, Herry Ginting, Manan Hariyanto HARIYANTO HARIYANTO Ichwanul Muslim Karo Karo Ilhamdi, Akhar Izzan Nur Aslam Jajuliansyah, Jajuliansyah Maulidna, Maulidna Miftahul Falah Nelza, Novia Pocut Nurul Alam Rachmiadji, Irwan Soekarno, Raiyan Yunianto Yunianto Yunianto