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All Journal Syntax Literate: Jurnal Ilmiah Indonesia Ensiklopedia Education Review INFOKUM Jurnal Darma Agung Journal Zetroem RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Jurnal Nasional Teknologi Komputer International Conference on Sciences Development and Technology Jurnal Pengabdian Masyarakat Multi Disiplin Ilmu Proceedings of The International Conference on Computer Science, Engineering, Social Sciences, and Multidisciplinary Studies
Wirda Fitriani
Universitas Pembangunan Panca Budi Medan
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Journal : INFOKUM

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Digitalization Of Name Plate Equipment PLTU Pangkalan Susu Using Qr Code Zulfahmi Syahputra; Wirda Fitriani; Ajie Maulizar
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The primary purpose of this innovation is to prevent equipment specification errors. This innovation is conducted by pouring the contents of the specification into a QR code, where the data will be stored in the database. The database for this research uses google drive media. We carried it out using a direct field survey method. The results showed that the specifications of equipment are easily damaged, if it is poured into written form on a nameplate that uses iron material. Further, it is easy to cause corrosion which will cause data errors when an audit will be carried out or when replacing the equipment. This innovation utilizing QR codes provides a breakthrough to validate equipment specifications.
FORECASTING MATERIAL INVENTORY OF PT INALUM (PERSERO) CARBON DEPARTMENT USING SINGLE EXPONENTIAL SMOOTHING METHOD WEB-BASED Aldi Kesuma; Zulham Sitorus; Wirda Fitriani
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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An error occurred in recording material inventory, resulting in disruption of the aluminum production process at PT Inalum (Persero). In addition, orders that are not on time can also cause losses to PT Inalum (Persero), because the accumulation of too much material inventory will require a lot of working capital, this allows capital investment for other activities to be hampered, while the limited material inventory allows PT. Inalum (Persero) cannot meet the needs of its customers. The purpose of this study is to determine the amount of material inventory that must be provided by the Carbon Department of PT Inalum (Persero) in the next period. The method used in this study is Single Exponential Smoothing (SES) with the calculation of the error size, namely Mean Absolute Deviation (MAD), Mean Square Error (MSE), and Mean Absolute Perentage Error (MAPE. The results of this study indicate that the calculation of each material uses alpha 0.1 because the lowest percentage of MAPE values is at alpha 0.1 Material Petroleum Coke Low Sulfur has a MAPE percentage of 21.08%, Petroleum Coke High Sulfur has a MAPE percentage of 21.37%, and Diesel has a MAPE percentage namely 17.44%. s Department of Carbon (Persero) using the Single Exponential Smoothing method, it is known that the results of these calculations are the same
APPLICATIONNEURAL NETWORK PROBABILITYIN THE CLASSIFICATION OF BANANA FIT FOR EXPORT Reni Aryanti; Zulfahmi Syahputra; Wirda Fitriani
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

As food, bananas are a source of energy (carbohydrates) and minerals, especially potassium. Almost all ripe bananas are yellow, although some are orange, red, green, purple or almost black. In agriculture, to determine the type of fruit and the quality of the fruit, it can be determined by checking the size of the fruit, the shape of the fruit and the color of the skin of the fruit.Classification of types of bananas using the neural network probability method(PNN) as a method of classifying types of bananas that are suitable for export and suitable for domestic consumption with 750 training data and 250 testing data with categories of three types of bananas namely Ambon bananas, Barangan bananas and Kepok bananas and produces an accuracy of 85.2 %.
Co-Authors Ajie Maulizar Aldi Kesuma Amin, Muhammad Bobby Syahputra Chairani, Ananda Dahlan Kurniawan Darmeli Nasution Devi Andriani Luta DT.M.Akbar Rizk Fachrid Wadly Hermansyah Mai sarah Milanie, Feby Muhammad fauzi pulungan Muhammad Syahdi Nasution Muslim Muslim Naufal Yudhi Handika Nova Mayasari Paris Pratama Purwanto, Dedi Rahmad Budi Utomo Reni Aryanti Sitorus, Zulham Suherman Sulistianingsih, Indri Zulfahmi Syahputra