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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 833 Documents
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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.
CRYPTOGRAPHIC SOUND SAFETY DATA WITH RC4 ALGORITHM Muhdary A Rahman; Harryanto Theho
INFOKUM Vol. 7 No. 2, Juni (2019): Data Mining And Image Processing
Publisher : Sean Institute

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Abstract

Data security and confidentiality is one of the most important aspects in the field of communication, especially communication using computer media. One area of science used to secure data is cryptography. Cryptography is a science that uses mathematical equations to process the encryption and decryption of data. Encryption is the process of changing plaintext (data that can be read) into ciphertext (data that cannot be read) and decryption is the opposite of encryption, which changes ciphertext back into plaintext.
IMPLEMENTATION OF BAYES FOR DIAGNOSIS OF WOOD DISEASE IN CUTTING LIVESTOCK Fawaydul Badris
INFOKUM Vol. 7 No. 2, Juni (2019): Data Mining And Image Processing
Publisher : Sean Institute

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Abstract

Expert systems have been widely used to solve a problem in various fields such as medicine, mathematics, engineering, chemistry, pharmacy, computer science, business, law, education, and defense. If the expert system is associated with the doctor's ability to diagnose the patient's health, a computer system can be created that can identify and analyze the symptoms that arise in the patient and provide suggestions for treatment. Worming seems trivial, but if you look closely it turns out to have a serious impact on affecting the health of livestock which will ultimately have a direct impact on production decline. Cattle that have intestinal worms will experience nutritional deficiencies or nutrients, so that the resistance to disease will decrease, so it is easily attacked by other diseases, especially infectious diseases. Bayesian probability theory is one of the branches of mathematical-statistical theory that allows us to create a model of the uncertainty of events that occur by combining general knowledge with facts from observations.
APPLICATION OF FIFO ALGORITHM (FIRST IN FIRST OUT) TO SIMULATION QUEUE Jonson Manurung
INFOKUM Vol. 7 No. 2, Juni (2019): Data Mining And Image Processing
Publisher : Sean Institute

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Abstract

In everyday life, many activities are found. One of them is waiting in line. Queuing is a boring thing. Moreover, the arrangement of the queues is not organized and the officers do not pay attention to who is the first to queue. So it is not uncommon to cause complications and even angry. Therefore, to handle problems in the queue, the simulation is implemented using the first in first out algorithm. With this algorithm, it can help determine who will be served first. Simulation is a way that is done to apply a more realistic system estimate. In this case, the authors use the first in first out algorithm. First in first out algorithm, i.e. first in, first out. In this case who is the first to wait in line, he will be served first and finish first. In this way, it is hoped that this will help determine who will be served first.
TESTING K-MEANS ALGORITHM USING THE RAPID MINER APPLICATION FOR DATA GROUPING Ade Setiawan Sembiring; Suprianto Panjaitan; Aditiya Pakpahan
INFOKUM Vol. 7 No. 2, Juni (2019): Data Mining And Image Processing
Publisher : Sean Institute

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Abstract

Data mining is a technique of extracting information that has not been known before in a collection of data in the database. Data mining has been applied in various fields that require information extraction. One of them is in grouping data. Grouping is used to divide a set of data into several useful parts so that it is easier to identify the class of data. Distribution companies can use grouping, one of which is to determine the intensity of the volume of goods ordered. This study analyzes the application of data mining with the k-means clustering algorithm to extract information from random goods ordering data. Namely by using the number of items and the total amount of the quantity of each item ordered. Then it is implemented into a website-based system to make it easier to get valid information.
FORECASTING OF SALES OF COMPUTER EQUIPMENT USING EXPONENTIAL SMOOTHING METHOD Muhammad Iqbal Panjaitan
INFOKUM Vol. 7 No. 2, Juni (2019): Data Mining And Image Processing
Publisher : Sean Institute

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Abstract

In the business world, it takes a prediction or estimate of an action that will be processed to follow up on the results that will be expected in the next few periods. Therefore, we need a forecasting process that is used to support the decisions of a company to get the maximum profit. Exponential Smoothing method is a method that has been widely used for forecasting because it has a pretty good performance. Exponential smoothing method is a procedure that continuously improves forecasting by averaging the past value of a time series data by decreasing (exponential). Exponential Smoothing method has several alpha parameters used, namely 0.1; 0.5; 0.9 to support the calculation that will be used in forecasting. With these methods, calculations can be done to find the best optimal value with the smallest error rate. The selected forecasting method is used to forecast computer sales.

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