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Journal : INFOKUM

DESIGN OF AUTOMATIC WATERING SYSTEM FOR HYDRAULIC PLANT MAINTENANCE USING MICROCONTROLLER BASED FUZZY SET METHOD Khairuna; Sriani; Adi Hartono; Abdul Halim Hasugian
INFOKUM Vol. 9 No. 1,Desember (2020): Data Mining, Image Processing,artificial intelligence, networking
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (356.127 KB)

Abstract

The application of technology to agriculture provides an advantage in terms of increasing production or yields. In terms of maintaining a plant, it takes a long process, for example fertilizing, irrigation, synthesis of sunlight and others. Up to now, this work is still carried out by human labor so that it severely limits the yield or quantity of harvest. The application of technology for plant cultivation is planned to build an automatic irrigation system for hydroponic plants. Hydroponic plants are a type of plant that only need water in the process of growth. Thus a good irrigation system greatly affects the success of cultivating this type of plant. The results of this study are: First, designing a hydroponic plant maintenance system that works automatically with sensors and microcontrollers. Second, designing a control circuit using the ATMega8 Microcontroller as the system controller. And third, implementing the Fuzzy Set algorithm in the program so that the system can work properly.
Combination of Shamir Adleman's Elgamal Rivest Algorithm and Least Significant Bit in Securing Files Jerri Pradana Sikumbang; Sriani
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (974.184 KB)

Abstract

The security condition of a file can be determined by means of several algorithms. So far, the identification of file security levels generally only uses the Google Drive link. Such security will take relatively fast time to be hacked by illegal data thieves and because it generally has limitations in file security. Knowing a link by the sender of the file can be retrieved by data thieves. It takes a system that is able to carry out the encryption process objectively, consistently and with clearer results. One of them is the segmentation process using the Elgamal RSA and LSB algorithms. The combination process aims to further secure the Combination of the RSA and LSB Elgamal algorithm combination files to encrypt data with more complicated calculations. From the results of data encryption into the image the sender file provides only the image, the recipient can retrieve a pdf of the image, even if the image is spread on the internet the data will be safe. Because retrieving data from the image requires the privacy key of the sender of the file and decrypts the calculation of the RSA and LSB Elgamal algorithm combination.
Noise Reduction Using Gaussian, Mean, And Median Filter To Improve Ultrasonography Image Quality Mhd. Furqan nasution; Sriani; Ilham Fuadi Nasution
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1170.862 KB)

Abstract

Ultrasound images are captured using high-frequency sound waves to create images with dark and bright spots throughout the subject. In this case, the resulting image will look blurry and some blobs will cause less information on the image. Degraded image quality due to noise. Noise can be caused by physical interference in the acquisition tool or by deliberate mishandling. Due to these problems, there is a need for a system that can enhance ultrasound images by minimizing existing noise. However, many methods have been developed to perform image enhancement by removing noise, which makes one method confusing with which method to use. Therefore, in this study, different methods for removing noise in ultrasound images, such as Gaussian filtering, mean and median, were compared to determine which method is better. The comparison of the three methods is based on PSNR and MSE values. Applied research results show that the median filtering method outperforms Gaussian and Mean methods in reducing noise in USG images to 60%.