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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 7 Documents
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Search results for , issue "Vol. 8 No. 1, Desembe (2019): Data Mining,Image Processing and artificial intelligence" : 7 Documents clear
IMPROVEMENT OF DIGITAL IMAGE WITH HISTOGRAM EQUALIZATION METHOD Muhammad Ullila Fahry; Darlena Darlena
INFOKUM Vol. 8 No. 1, Desembe (2019): Data Mining,Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

Digital image has become an inherent thing in everyday life. This is supported by the increasingly sophisticated technology of today where communication devices such as mobile phones have been able to use the role of replacing analog cameras to take pictures or even record videos. Capture the moments of happiness or just want to record an event becomes very easy to do, but sometimes the resulting photo is less satisfactory because of the mobile phone's specifications and other factors such as poor lighting (dark). Efforts to improve become very necessary, but because the application to do this only exists on the computer and not too many are found on mobile phones, this becomes difficult to do. One method for image enhancement is the Histogram Equalization method. This method can be used to improve image quality related to lighting by maintaining color constancy. The use of the histogram equalization method is considered easy because of its simplicity and relatively better performance on almost all types of images. The operation of HE (Histogram Equalization) is carried out by remapping the gray level of the image based on the probability distribution of the gray input level. This flattens and dynamically stretches the various histogram images and results in an overall increase in contrast.
DATA MINING FOR DETERMINING BOOK LOAN PATTERNS IN-LIBRARY USING APRIORI ALGORITHM Preddy Marpaung
INFOKUM Vol. 8 No. 1, Desembe (2019): Data Mining,Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

Data mining is the process of exploring the added value of knowledge so far not manually known from a data set using these techniques or methods. Data mining is a new science that has its roots in various fields of science such as artificial intelligence, machine learning, statistics, and databases. In the process of borrowing books, of course raw data will be processed by dividing it into different pieces of data. Among the lending data tables processed are general lending tables, 2-itemset candidate tables, lending tabular tables, support value tables, confidence value tables.
IMPLEMENTATION OF GRAY LEVEL TRANSFORMATION METHOD FOR SHARPING 2D IMAGES Jonhariono Sihotang
INFOKUM Vol. 8 No. 1, Desembe (2019): Data Mining,Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

At present image processing plays an important role, in which the processing does not only provide effects that make an image more artistic but can also improve the quality of the image itself. In the field of photography and film that is used in making animated advertisements on television, or creating effects from dangerous scenes that cannot be done by real humans. Not all digital images have a visual appearance that satisfies the human eye. Dissatisfaction can arise due to interference or lack of maximization of the image quality, such as spots appearing caused by the process of capturing imperfect images, lack of image sharpness due to uneven lighting and resulting in non-uniform intensity, image contrast is too low so objects are difficult separated from the background or interference caused by dirt that adheres to the image.
IMPLEMENTATION OF FOURIER PHASE ONLY SYNTHETIS METHOD FOR 3D IMAGE PLANNING Yuda Perwira; Wira Apriani
INFOKUM Vol. 8 No. 1, Desembe (2019): Data Mining,Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

In carrying out the process of the Fourier Phase Only Synthetic method on two images, the observer must get the impression as if seeing the image changes its form to an intermediate form before turning into a destination image. These changes must occur regularly and consistently to achieve the goal image. This sharpening system is one of the systems that aim to process this transformation in many forms used in applications in the fields of entertainment, computer animation, scientific visualization, and education. The sharpening system on the 3-dimensional image-side aims to identify image patterns. The image quality is good if it has good contrast and can describe the structure of ridges and valleys clearly. From the implementation of the Fourier Phase Only Synthesis Analysis, using the main parameters of Ridge Orientation Image, it has been successfully obtained the results of image improvement. Improvement of this side of the image will greatly help to improve the quality of the extraction of 3-dimensional images, by determining the value of constants to get the best results.
ANALYSIS OF IMPROVING DIGITAL IMAGE QUALITY USING ARITHMETIC MEAN FILTER ALGORITHM Mamed Rofendi; Kristian Siregar
INFOKUM Vol. 8 No. 1, Desembe (2019): Data Mining,Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

Image is a combination of points, lines, fields, and colors to create an imitation of a physical or human object. Digital imagery consists of square elements called pixels. An example of an image is an image. However, sometimes the image can also experience a decrease in quality (degradation). Images or pixels that have decreased image quality in image processing are called noise. This research discusses the enhancement of digital image quality using the Median filter technique to reduce noise. In this study using color image data (RGB) as test data and then converted into grayscale images to determine the gray degree of the image. The Grayscale image is stored in the database. Then noise is generated by using random numbers. The type of noise used is Salt & Pepper. Noise salt & pepper is a type of noise that has a value of 0 and 255 spread. To reduce noise salt & Pepper, an Arithmetic Mean Filter method or technique is used.
WEB-BASED ACCEPTANCE INFORMATION SYSTEM DESIGN IN SMP 2 SIANTAR Sanjaya Pinem; Febrianto Sibuea
INFOKUM Vol. 8 No. 1, Desembe (2019): Data Mining,Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

Admission of new students is one of the processes that exist in educational institutions such as schools that are useful for screening prospective students who are selected according to the criteria determined by the school to become their students. In general, the admission process for new students is carried out through the stages of registration, input grades, and announcements of student admissions. In this study, the application was carried out at SMP Negeri 2 Siantar which had been done manually or computerized but used Microsoft Office Excel, which allowed there to be a lot of data shortages. The problem formulation of this research is how to create an information system for new student admissions at SMP Negeri 2 Siantar. The research method used is literature, observation, analysis, design, testing and implementation. This new admissions information system is built using the PHP programming language and utilizes the MySQL database as a database server. The results of this study are a web-based admissions information system that has the ability to provide convenience for parents of prospective new students to obtain all information about new student admissions and carry out the online registration process.
THE EXISTENCE OF PROPHETIC LAW IN THE DEVELOPMENT OF CHILDREN'S LAW IN INDONESIA Sukoco, Bambang
INFOKUM Vol. 8 No. 1, Desembe (2019): Data Mining,Image Processing and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v8i1, Desembe.2515

Abstract

This paper aims to 1). Describe and provide analysis of the prophetic legal paradigm and the development of children's law; 2) Describe and analyze the existence of prophetic law in the development of child law in Indonesia. This research is a normative legal research conducted by researching literature materials or secondary data. The approach used is a legislative approach and a conceptual approach. The international convention on the rights of the child has formulated universal principles and legal norms regarding the legal protection of children. Positive laws that apply in Indonesia tend to only regulate aspects such as child custody, recognition, and legalization. In fact, the development of children's law in the future does not only talk about administrative aspects but must be comprehensive. Islamic law has a deeper perspective compared to conventional law in general. The prophetic law paradigm can be one of the approaches in the development of child law in Indonesia that can integrate the protection of children from the womb to adulthood.

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