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INFOKUM
Published by SEAN INSTITUTE
ISSN : 23029706     EISSN : 27224635     DOI : -
Core Subject : Science,
Computer Science & IT
The INFOKUM a scientific journal of Decision support sistem , expert system and artificial inteligens which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of the development of the theory, methods, and related applied sciences. Software Engineering. Image Processing Datamining Artificial Neural Networks
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 6 Documents
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Search results for , issue "Vol. 7 No. 1, Desembe (2018): Data Mining And Image Processing" : 6 Documents clear
TESTING DECISION TREE ALGORITHM USING TANAGRA APPLICATIONS Soni Bahagia Sinaga
INFOKUM Vol. 7 No. 1, Desembe (2018): Data Mining And Image Processing
Publisher : Sean Institute

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Abstract

Decision tree is one algorithm that is used to classify segmentation or grouping which is predictive, Decision Tree Algorithm has the Advantages in processing numerical (continuous) and discrete data, can handle missing attribute values, produces rules that are easily interpreted and the fastest among other algorithms. Prediction accuracy is the ability of the model to be able to predict class labels against new or previously unknown data well. In terms of speed or computational time efficiency needed to create and use a model. The application used is Tanagra because the application is available for Decision tree architecture.
THE DATA MINING OF CELL PHONE MOST INTERESTED USING APRIORIAL ALGORITHM Penda Sudarto Hasugian
INFOKUM Vol. 7 No. 1, Desembe (2018): Data Mining And Image Processing
Publisher : Sean Institute

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Abstract

Data mining is a term used to describe knowledge discovery in a database or often called Knowledge Discovery in Database (KDD). With the development of information at this time, the need for accurate information is needed in daily life, so that information will become an important element in the development of society today and the future. However, high information needs are sometimes not balanced by the presentation of adequate information, often the information must still be extracted from very large amounts of data. The ability of information technology to collect and store various types of data far leaves the ability to analyze, summarize and extract knowledge from data. Decision-makers try to utilize data warehouse that has been owned to dig up information that is useful to help make decisions, this encourages the emergence of new branches of science to overcome the problem of extracting information or patterns that are important or interesting from large amounts of data, which is called data mining. The use of data mining techniques is expected to provide knowledge previously hidden in the data warehouse so that it becomes valuable and useful information.
TEXT MESSAGE COMPRESSION ANALYSIS USING THE LZ77 ALGORITHM Arjon Samuel Sitio
INFOKUM Vol. 7 No. 1, Desembe (2018): Data Mining And Image Processing
Publisher : Sean Institute

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Abstract

Data compression is a process for converting an input data stream (original data) into another data stream in the form of output or other (compressed) streams that have a smaller size. One of the main functions of data compression is to reduce the file size by replacing characters that are generally 8 bits in size with shorter codes. In data compression, many algorithms can be used to process input into the desired output, so it must be considered aspects such as compression ratio, space-saving, and compression speed of each algorithm.
REDUCTION EYE RED DIGITAL IMAGE EFFECT WITH ALGORITHM INTENSITY COLOR CHECKING Amran Sitohang
INFOKUM Vol. 7 No. 1, Desembe (2018): Data Mining And Image Processing
Publisher : Sean Institute

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Abstract

The results of a photo either with a normal camera or a digital camera when taken from with high exposure to people, often produce red spots on the pupils of the term with the red-eye effect on digital photos. This of course causes the photos to be not good. With a particular software that functions as an image processor it can easily remove the red-eye just by using a tool called the red-eye effect that is reduced. So with this program the results of photos with a digital camera can be edited to eliminate the red-eye effect before printing. The red-eye effect is reduced using the intensity color checking algorithm in the process of replacing the red pixel images and then replacing them with grayish-black according to the resulting intensity process. Program that can reduce the red-eye effect with the intensity color checking algorithm by processing certain selected regions. The image results can then be printed or saved again in JPG format.
DIGITAL IMAGE COMPRESSION USING RUN LENGTH ENCODING METHOD Kristian Siregar
INFOKUM Vol. 7 No. 1, Desembe (2018): Data Mining And Image Processing
Publisher : Sean Institute

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Abstract

The application of Run Length Encoding (RLE) algorithm in image compression cannot always reduce the size of the image compression results. Giving a Run sign or the number of pixels that have repeated succession can certainly change the size of the image file to be smaller, but very different from the repetitive image pixels but not sequential or not at all will certainly give a large size change in the file compression Image compression files that use Algorithm RLE in applications that are often used by users in general on computers can read image matrices. Thus RLE has a special ability to reduce image files from the others if there is a composition of the value of repetitive image pixels. And to decompress RLE to digital images is also very simple because the file type .rle has information on the order of matrix values ​​consisting of two parts, the odd order is the pixel value for the image and while the even order is the value of the number of repeaters in the previous odd pixel value.
EMPLOYEE PAYMENT INFORMATION SYSTEM DESIGN IN CV. RAMAYANA MARIHAT BUTAR Sanjaya Pinem; Desy Rinika Purba
INFOKUM Vol. 7 No. 1, Desembe (2018): Data Mining And Image Processing
Publisher : Sean Institute

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Abstract

Employee payroll process on CV. So far, Ramayana is still done manually, with a process that is still manual, calculation errors cannot be avoided. This results in discomfort for employees at work, which in turn can reduce the productivity of the employees themselves. With these problems, the author makes a programming application that can facilitate the work of the CV administration section. Ramayana in managing employee attendance data which is the basis for calculating salaries, so that in the end an effective and efficient payroll system is obtained. CV payroll system. Ramayana is made web-based and MySQL, as the database.

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