INFOKUM
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
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<![CDATA[Credit risk prediction using neural network backpropagation algorithm ]]>
<![CDATA[Maradu Sihombing]]>;
<![CDATA[Erwin D . Sitanggang]]>;
<![CDATA[Maranata Pasaribu]]>;
<![CDATA[Misdem Sembiring]]>
<![CDATA[ INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[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.]]>
<![CDATA[MOBILE WEB-BASED VILLAGE SERVICE APPLICATION DESIGN WITH EXTREME PROGRAMMING METHODOLOGY ]]>
<![CDATA[EVA SUSILAWATI]]>;
<![CDATA[Deri Fikri Fauzi]]>
<![CDATA[ INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[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.]]>
<![CDATA[Use Of Microsoft Teams Add-Ons in High Schools: The Effect on Student Learning Outcomes ]]>
<![CDATA[Sanjaya Pinem]]>;
<![CDATA[Viktor Edison Hutagaol]]>
<![CDATA[ INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[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.]]>
<![CDATA[Designing an Expert System to Diagnose Myopic Eye Disease Using Mobile-Based Forward Chaining Method: Myopic Eye, Forward Chaining Method, Mobile Based ]]>
<![CDATA[Hafiz Hafiz]]>
<![CDATA[ INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[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.]]>
<![CDATA[The Ranking Of The Best Educators By Applying Fuzzy Logic Sugeno Based On Performance Assessment ]]>
<![CDATA[HENDRA CIPTA]]>
<![CDATA[ INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[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.]]>
<![CDATA[IMPLEMENTATION OF K-NEAREST NEIGHBOR ALGORITHM TO PERFORM CLASS PLACEMENT CLASSIFICATION AT GKPI PADANG BULAN JUNIOR HIGH SCHOOL ]]>
<![CDATA[Dewi Lasmiana Panjaitan]]>;
<![CDATA[Paska Marto Hasugian]]>
<![CDATA[ INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[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.]]>
<![CDATA[Application of X-Means Method for Grouping Early Childhood Diseases ]]>
<![CDATA[Berti Sari Br Sembiring]]>;
<![CDATA[Mahdianta Pandia]]>;
<![CDATA[Natalina Br Sitepu]]>
<![CDATA[ INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[Grouping can use clustering to group data based on the similarity between the data, so that the data with the closest resemblance is in one cluster while the different data is in another group. The X-Means algorithm is the development of K-Means. The weakness of X-Means is that in determining the distance matrix, the distance matrix is an important factor that depends on the X-Means algorithm data set. The resulting distance matrix value will affect the performance of the algorithm. The results of the study are: testing with variations in the number of centroids (K) with values of 2,3,4,5,6,7,8,9,10. The author concludes that the number of centroids 3 and 4 has a better iteration value compared to the number of centroids that are getting higher and lower based on the iris dataset with the jarax matrix Manhattan Distance. From the test results with the X-Means cluster point, calculate the Euclidean Distance distance with 100 iris data reaching the 9th iteration, while with 100 iris data by calculating the Manhattan Distance distance it reaches the 10th iteration. Meanwhile, in determining the cluster point using the X-Means method from 100 data iris reaches its 7th iteration.]]>
<![CDATA[Measurement of Image Distance Using Only Camera On Object Detection OpenCV ]]>
<![CDATA[F. Friendly]]>;
<![CDATA[Harizahayu Harizahayu]]>;
<![CDATA[Rahmat Widya Sembiring]]>;
<![CDATA[Berti Sari Br Sembiring]]>
<![CDATA[ INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[Image processing combine with machine learning is used widely in image recognition, image classification, and image detection. By using camera to detect an object has been done within several article. The other usage of image and object detection is in measurement of distance. Distance measurement is possible by using additional peripheral such as sensor and extra camera. This research is intended to elaborate the usage of single camera in detecting and measuring distance. The distance set between the camera and the object. In this research, author used a square object with different size and different distance range. By using one of the known data as a pivot in calculating other image distance, the average error between 4%-7% . These result was achieved by using different object size. The bigger the size of the object used as reference, the smaller the error percentage of the measurement.]]>
<![CDATA[Analysis of Elearning Quality Measurement With Webqual Method at Politeknik MBP Medan ]]>
<![CDATA[Erwin Daniel Sitanggang]]>;
<![CDATA[Maradu Sihombing]]>;
<![CDATA[Maranata Pasaribu]]>;
<![CDATA[Beny Irawan]]>
<![CDATA[ INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[The development of information technology today has also changed the lifestyle and way of life of many people. By using information technology, many people can explore the world without being limited by space and time through the internet. Information technology has become a tool that has the power as a driving force that changes business, economics, socio-politics and other fields without limits. One of the things that has experienced major changes in lifestyle and way of life in the field of education is teaching and learning activities. The Politeknik MBP Medan college, which was also affected by Pandami, had to change the teaching-learning method using the Learning Management System service which is the right teaching-learning method to provide learning materials to students, in this case called students. In order to obtain the quality of this service, first, the satisfaction level of service users is measured based on the standard of comparison (gap) between reality and the expectations of users of the service. Based on the results of quality measurements from e-learning at the Politeknik MBP Medan for the academic year 2020/2021 in the even semester using the Webqual method, it was concluded that the Webqual method along with its attributes can provide analytical results to be used in improving the performance quality of e-learning. The results of measuring the quality of the data processing of respondents' answers are obtained that the User Satisfaction Level Score is -0.18, this indicates that the quality of e-learning as a whole is not in line with the expectations of users. The results of the analysis of 22 statement attributes from the Webqual method show that all attributes get the results of the "Tingkatkan" pattern analysis and none of the statement attributes get the "Pertahankan" pattern.]]>
<![CDATA[The College Academic Service Decision Support System Uses Service Quality and Importance-Performance Analysis Methods ]]>
<![CDATA[Beny Irawan]]>;
<![CDATA[Raden Aldri Kurnia]]>;
<![CDATA[Erwin Daniel Sitanggang]]>;
<![CDATA[Misdem Sembiring]]>
<![CDATA[ INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[The impact of the Covid-19 pandemic that has hit the world affects human needs in utilizing technology to be able to solve the problems they face. Likewise, universities that want to improve the quality of academic services during a pandemic sometimes have problems with accuracy and speed in data processing when measuring the level of student satisfaction whose information will be used as support in making decisions to improve services. It is better to develop a computerized system that can replace all activities in the process of implementing the measurement of academic service quality from distributing questionnaires to getting the results of Service Quality (Servqual) and Importance-Performance Analysis (IPA) analysis using the Unified Modeling Language (UML) approach. The design of the decision support system used in this design, namely: Use Case Diagrams, Class Diagrams, Activity Diagrams, Sequence Diagrams and Deployment Diagrams. By using a computerized decision support system, the process of measuring the level of student satisfaction with academic services can be carried out quickly, precisely and accurately compared to using word processing and spreadsheet software and provides easy-to-understand information and suggestions for improvement. academic services based on the attributes of the questionnaire accurately using the Service Quality (Servqual) method on Gap 5 and Importance-Performance Analysis (IPA).]]>
