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All Journal Jurnal Mantik Jurnal Tekinkom (Teknik Informasi dan Komputer)
Hendra Hendra
Universitas Prima Indonesia
Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

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Comparative Analysis Of Chaotic Cat MAP And Fibonacci Image Scrambling Methods To Secure Digital Image: Comparative Analysis Of Chaotic Cat MAP And Fibonacci Image Scrambling Methods To Secure Digital Image Hendra Hendra; Johanus Kurniawan; Insidini Fawwaz
Jurnal Mantik Vol. 3 No. 4 (2020): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (768.727 KB)

Abstract

In the process of communication through the internet network, security is an important issue that needs serious attention. This is because the process of sending and communicating data through the internet has the possibility to be intercepted by other parties. This also applies to image data. Therefore, data to be sent via the internet must be secured first. However, the application of several cryptographic methods and several methods of randomization of images requires a relatively long time. To solve the problems encountered, the Image Scrambling Generalized Fibonacci And Chaotic Cat Map algorithm can be applied. The work process of the algorithm will start from the process of selecting the input image and charging the key value that will be used. After that, the process continues with the process of randomizing the image, so that it will produce a randomized image. The resulting image can be reconstructed again by applying an anti-scrambling algorithm. This process requires the same key to be used at the scrambling stage. The resulting application can randomize the original image by filling in the randomization key value. The resulting image can be reconstructed again using the same key. In addition, the application will also produce detailed reports of calculations performed during the scrambling and anti-scrambling processes for each of these methods.
ANALISIS PERFORMANSI METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) DALAM PENGENDALIAN PERSEDIAAN SUSU Tajrin Tajrin; Hendra Hendra; Juan Fernando Gurning
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1222

Abstract

This study aims to address the issue of milk inventory control at PT. Indodairy Continental by applying the Autoregressive Integrated Moving Average (ARIMA) method. The uncertainty in milk demand, influenced by changes in consumer consumption patterns and market fluctuations, poses challenges in accurate production and distribution planning. This research uses historical milk sales data from the past several years to build an ARIMA model. The data undergoes several steps, including data collection and plotting, stationarity testing using ACF and PACF, differencing, and parameter estimation of the ARIMA model. The analysis results indicate that the data is stationary, and the ARIMA (1,0,0) model is selected as the best model based on the significance test. This model is used to forecast milk sales for the next six months. The predictions indicate an increase in monthly sales, allowing the company to optimize production and distribution processes, reduce costs, and improve customer satisfaction.
Co-Authors Insidini Fawwaz Johanus Kurniawan Juan Fernando Gurning Tajrin Tajrin