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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 842 Documents
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BIT CHECK IN ERROR DETECTION ON TEXT DATA TRANSMISSION USING HAMMING CODE ALGORITHM Pilipus Tarigan
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

When data or information is transmitted via wireless or via cable channels, errors may occur while the data is transmitted. One of the efforts made is to apply error control coding. Hamming code is an example of an existing error control coding technique. Hamming code performance is distinguished by the number of parity bits it has. Ontelecommunications allows everyone to communicate with each other quickly over long distances though. Data that is transmitted or sent in the form of text data can fail (error). Errors cause changes in the contents of the data transferred to the recipient (Receiver) to change or fail. One way to detect simple errors is to use Hamming Code with single error correction. In the detection, this algorithm uses the EX-OR (Exclusive–OR) operation in the error detection process.In testing the data sent is not the same as the result received, the bit has experienced an error, and the system will correct the position where the bit has an error.
Credit risk prediction using neural network backpropagation algorithm Maradu Sihombing; Erwin D . Sitanggang; Maranata Pasaribu; Misdem Sembiring
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Credit is a business activity that contains high risk and greatly affects the health and survival of banking businesses and financing institutions. Predicting credit risk is very beneficial for banks or financing institutions in taking decisions to establish credit. Decision makers of banks and financing institutions must have the precautionary principle to minimize credit risk when credit will be provided. The study designed credit risk prediction software with artificial neural network methods backpropagationalgorithms. Artificial neural network backpropagation with 1 hidden layer and the amount of data for training and testing as many as 20 pieces consisting of 5 models and using the logsig activation function is able to predict credit risk with a truth percentage of 70%-80%. Training and testing is used using matlab 6.1 software. Based on these results, the study recommends the development of artificial neural network algorithms as an effective method on credit risk prediction systems.
PERFORMANCE ASSESSMENT DECISION SUPPORT SYSTEM FOR MEDICOM'S BEST EMPLOYEE DETERMINATION WITH FUZZY SUGENO METHOD Jontinus Manullang; Sartika Dewi Purba
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

Performance appraisal is important for every employee and useful for the company to determine the next policy action, At Medicom performance appraisal is used to process promotions, performance evaluations, and determining employee achievements, while the variables used are technical ability, conceptual ability and interpersonal relations, with application fuzzy logic in spk with the Sugeno method will make it easier for foundations to determine the best employees, the results show this decision support system can help foundations get decent employees to be the best employees
MOBILE WEB-BASED VILLAGE SERVICE APPLICATION DESIGN WITH EXTREME PROGRAMMING METHODOLOGY EVA SUSILAWATI; Deri Fikri Fauzi
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Information technology is developing very rapidly which affects the business world and the industrial world, including government agencies. Public services in making population documents are an important type of service that must exist in every village. The Center for the Study of Regional Autonomy conducts a study on the quality of village government services, related to this, it is necessary to continuously improve government services, both physical and administrative. One of them is the problems faced by village government agencies, such as the procedures applied are not clear and the service is still manual so that the processing time becomes longer. This study aims to improve the quality of service which it has an impact on services that are less than optimal for the population, it is hoped that with the design of this program it can be better than the manual system, so that it can run more effectively and efficiently. The data collection method used in collecting data in this study is by conducting interviews with various parties, observing, and reviewing the center in order to find reference materials. The design of this information system uses the Agile Development Methods system development method with the extreme programming model.
Use Of Microsoft Teams Add-Ons in High Schools: The Effect on Student Learning Outcomes Sanjaya Pinem; Viktor Edison Hutagaol
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Online learning is an essential thing during the covid-19 pandemic. Especially the education sector, whereas almost everything must be put on the online system. Online learning implementation can harm the achievement of student learning outcomes. The SMA Katholik 2 Kabanjahe experienced a decline in their learning outcomes using online learning, far below the standard built from minimum competence for the test scores of mathematics subjects. This study aims to increase student learning outcomes with optimized Microsoft Teams Add-ons in mathematics subjects based on these problems. The type of this research is Classroom Action Research, and the subject of this research is students class X SMA Katholik 2 Kabanjahe with 21 students as participants. Observation student evaluation, an evaluation test, and a questionnaire are used to collect data. The result has shown that students' learning outcomes were significantly improved from the first cycle by 42.85% on average increased to 72.16% in the second cycle. Student's activity also significantly changed from the first cycle by 32.14%, increasing to 72.00% on average from the second cycle. 79.87 % of students gave positive responses and 20.13% for negative responses.
THE CONCEPT OF APPLICATION OF MACHINE LEARNING IN THE ENVIRONMENT INTERNET OF THINGS Sulindawaty Sulindawaty; Jijon R Sagala; Penda Sudarto Hasugian
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

Machine Learning is an application of computers and mathematical algorithms adopted by means of learning that comes from data and produces predictions in the future. The learning process in question is an attempt to acquire intelligence through two stages, including training and testing. The Internet of Things is a network that can connect anything in the supply chain, including people, machines and systems, where efficient supply chain management is guaranteed. This is done through visualizing any object/thing in the supply chain by monitoring, tracking and providing a third dimension to organizational data, that if analyzed can improve all supply chain processes. In the IoT environment, Machine Learning is very suitable to be applied which can provide many benefits including Resolving Data Inefficiency Problems, Automating Business Processes, Visualizing Supply Chain Management (Supply Chain), Risk Management and Maximizing Profits. By implementing IoT and Machine Learning, of course, it can fulfill business opportunities, namely: process optimization, speed optimization, adaptability optimization and reliability optimization
Designing an Expert System to Diagnose Myopic Eye Disease Using Mobile-Based Forward Chaining Method: Myopic Eye, Forward Chaining Method, Mobile Based Hafiz Hafiz
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Android adapted also in human civilization. The development of information technology affects many fields such as work, activities outside the home, vehicles and others. Eye health is a gift that cannot be paid for. Seeing how important eyes are to our lives, maintaining eye health is the main thing that we need to do every day. Maintaining eye health is very important because unfortunately our eyesight is lost. Many argue that in Southeast Asia many people suffer from eye diseases, especially myopia. Before something happens to the eye, we should take good care of it. A type of farsightedness when all types of myopia is actually an irregularity in focusing on the image of a visible object or a refractive error (ametropia). Using an expert system and applying a direct chain method designed to make it easier for patients to identify the type of myopic eye disease. And as knowledge for internet users about the importance of maintaining eye health in terms of myopia eye symptoms in the system.
THE ANIMATION OF ANTICIPATION SIMULATION OF FLOOD DISASTER BASED ON INFOGRAPHIC (CASE STUDY OF WATERSHED IN MEDAN JOHOR REGION, MEDAN CITY) Junus Sinuraya; Hikmah Adwin Adam
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

Flood disaster is a natural phenomenon caused by the natural process and uncontrolled human activities in exploiting nature. The natural process depends on rainfall conditions, groundwater systems (geohydrology), geological structure, rock types, geomorphology, and topography. Meanwhile, human activities mean behaviors in exploiting nature for human welfare, that tend to damage the environment, particularly at a watershed, with high intensity, less control, and oversteps of the spatial planning rules. It has been known that flood disaster brings a big loss, for example, the physical loss is estimated more than a billion rupiah and it has not included tangible losses (or invaluable losses), such as plague, the time loss of social activity, and so forth. It is expected to minimize the loss by flood anticipation from government and society who are prone to getting the flood impact, for example, the settlement at the watershed. This research aims to design and make an infographic of flood anticipation simulation based on animation and multimedia for giving education to the society who are often getting the flood impact, like the settlement at the watershed, so that the physical and intangible losses can be minimized
The Ranking Of The Best Educators By Applying Fuzzy Logic Sugeno Based On Performance Assessment HENDRA CIPTA
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

In improving the quality of education, mastery of the material is one of the important elements that must be considered by teachers and students. In addition, improving the quality of education is carried out by improving facilities and infrastructure, increasing the professional staff, teaching staff, and improving the quality of students. The purpose of this research was to determine the best educators based on performance assessment. Indicators research refer to PP. No. 19 of 2005 concerning Standar Nasional Pendidikan (SNP) namely knowledge, attitudes, communication, and professionalism. In this case, fuzzy logic Sugeno method is used to rank the best educators in their field. The results showed that there were 3 best educators, namely educator B ranked 1 with an assessment result of 2.25, educator C got rank 2 with an assessment result of 1.65 and educator A with an assessment result of 0.65 got rank 3. It is hoped that with the application of this method, the school can be more effective in assessing educators by adding more indicators to be assessed later.
IMPLEMENTATION OF K-NEAREST NEIGHBOR ALGORITHM TO PERFORM CLASS PLACEMENT CLASSIFICATION AT GKPI PADANG BULAN JUNIOR HIGH SCHOOL Dewi Lasmiana Panjaitan; Paska Marto Hasugian
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Superior classes are a number of students who have outstanding abilities or achievements in these students, who are grouped in one particular class. One way that is done is the process of class placement. But at the time of class placement there are problems that arise, namely during the process of determining the class, whether students enter the superior class or ordinary classes. Students who have certain abilities will later occupy superior classes and students who do not have certain abilities do not enter the superior class. With this research will help the school in determining superior classes and ordinary classes, so that no one is harmed, which should be students who deserve to be superior classes. The purpose of this study is to implement the principle of data mining to class placement classification using the K-Nearest Neighbor Algorithm. Where the K-Nearest Neighbor Algorithm will classify objects based on learning data that is the closest to the object. Based on the results of the trial conducted by utilizing the K-NN algorithm with tested data as many as 64 data and training data as much as 82 data, it was obtained the results of class placement with students who occupy class A as many as 26 students, students who forged class B as many as 20 students and students who occupy class C as many as 18 students.

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