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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 96 Documents
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Search results for , issue "Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence" : 96 Documents clear
K-Means Analysis in Grouping Abilities of Battuta University Informatics Study Program Students Baginda Harahap
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

This study aims to identify and classify students based on the learning outcomes of visualization and animation subjects measured based on the variables of attendance, assignments, midterm exams (UTS), and final semester exams (UAS) to be further used to evaluate learning for subjects that require proficiency. good quantitative analysis. This study uses k-means cluster analysis in classifying students into three groups based on their learning outcomes. After being grouped, there are 3 categories of cluster 0 with 14 competent conditions, 9 in incompetent condition cluster 1, and 9 students in very competent condition cluster 2
WebGIS-Based Noise Information System in Bogor City (Case Study West Bogor Subdistrict) Tri Permadi; Budi Susetyo; Safaruddin Hidayat Al Ikhsan
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Along with the development of development in West Bogor subdistrict, there will be environmental noise that comes from these activities. Based on the Decree of the Minister of Environment No. 48 of 1996, noise is unwanted sound from a business or activity in a certain level and time that can cause human health problems and environmental comfort. Geographical Information System (GIS) is a computer-based system that has the ability to handle geographic reference data to enter, process and produce data so that it can be used as a reference in making decisions in planning. Noise measurements use a Sound Level Meter for 10 (ten) minutes for each measurement and GPS to determine the position of the location coordinates. The purpose of this study is to map the contours and distribution of noise levels and design a webgis-based noise information system in West Bogor subdistrict, Bogor City. To create a noise distribution level map using Surfer software using the kriging and Arcgis methods. Based on the measurement results, the value of the noise level ranges from 50 dB - 70 dB, because it is on the main road and comes from transportation modes. Noise information will be made into webgis display.
APPLICATION OF FUZZY LOGIC IN AUTOMATIC COOLING COMPUTER DESIGN USING PELTIER BASED ON ATMEGA328 MICROCONTROLLER Rakhmat Kurniawan R; Abdul Halim Hasugian; Rizky Pratama Putra
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Slow or lag computer problems can be caused by overheating of computer hardware such as the processor, if the computer overheats it will reduce the performance of the processor performance. In general, computers are equipped with coolers such as air cooling to avoid overheating, but for heavy and intensive work, air cooling is still not effective in cooling computer processors, so in this study an automatic computer cooling device was created that was effective in cooling computers. This tool uses a peltier to cool the coolant that flows on the cold side of the peltier. To control the Peltier, fuzzy logic is applied to control the temperature of the computer processor. This fuzzy logic will be embedded into the microcontroller. Cold generated based on the information provided by the computer to the microcontroller via serial communication. Based on the benchmark test, the average Core1 Temperature is 26.75oC, Core2 Temperature is 25.25oC and Package Temperature is 29oC using water cooling Peltier with fuzzy logic, while with water cooling the average Core1 Temperature is 33.5oC, Core2 Temperature is 33oC and Package Temperature is 35.25oC and with The average water cooling radiator has a Core1 temperature of 32.25oC, a Core2 temperature of 31.5oC and a Package Temperature of 34.25oC before performing the benchmark test. When the benchmark test runs, the average Core1 Temperature is 52.25oC, Core2 Temperature is 51oC and Package Temperature is 54.25oC using water cooling Peltier with fuzzy logic, while with water cooling the average TemperatureCore1 is 65oC, Core2Temperature is 64.25oC and PackageTemp is 67.25oC as well as with water The average cooling radiator temperature is Core1 57oC, Core2 Temperature 59oC and Package Temperature 59.25oC with an average room temperature of 30oC during the test. From the test results by comparing the tools in this study, water cooling Peltier with fuzzy logic is better and more effective in cooling computer processors. Keywords: Computer Cooling, Fuzzy Logic, Microcontroller
Determination Of Budi Darma University Ordering Patterns Needs With Apriory Algorithm Hery Sunandar; Abdul Sani Sembiring
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

In a university, office stationery is needed to support the teaching and learning process, one of which is paper, markers, ink and so on. In determining the right strategy in terms of purchasing stationery, an effective analysis is needed, to reduce excessive spending. One way that can be done to order stationery is to use data mining techniques. The data mining technique used in this case is to use the Apriori algorithm. The a priori algorithm is one of the classical data mining algorithms. The a priori algorithm is used so that computers can learn association rules, look for patterns of relationships between one or more items in a dataset. This research was conducted by observing several research variables that are often considered by universities in ordering office stationery. (ATK). The results of this study are in the form of interesting patterns of data mining results which are important information to support ordering stationery
Desktop Virtualization With N-Computing Technology Yudhistira Adhitya Pratama
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

This study discusses how N-Computing works on various operating systems and is tested by direct experimentation with the vSpace application on N-Computing. N-Computing can be used just like a regular PC as a terminal that doesn't require a CPU, hard drive, or CD-ROM. In this practical work research, the author conducted a trial on the performance of the N-Computing X550 series. The author then summarizes the testing process into clearer steps and can know the benefits of N-Computing to users in various aspects. In addition to the operating system, the author also conducted tests on the type and length of the cable so that it can be seen the relationship between N-Computing performance and the cable used. Based on the results of this study, the authors conclude that the N-Computing X550 series is capable of cost savings of more than 40%.
Decision Support System Decision Support System To Determine Sports Interest and Talent Using the Bayes Method Mhd Furqan; Yusuf Ramadhan Nasution; Fahrul Azis Nasution
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The identification of talent interests has been developed and its benefits have been felt in producing athletes who can excel at the national and international levels. Decision support system can be chosen because it is an appropriate way to determine interest and talent in sports, basically the concept of a decision support system is limited to activities to help assess a decision. In this study, using the Bayes method with this method requires probability information on each alternative to the problems faced to produce an expected value as a basis for decision making. The trial of calculations using the Bayes method on 50 samples of students who were successfully tested, namely 18 students with interests and talents in soccer, 13 gifted students in volleyball, 9 gifted students in badminton, 6 students who are gifted in sports. basketball, 4 gifted students in table tennis. In the application of the decision support system to determine interests and sports talents has been successfully made and running well to assist and facilitate the decision-making process of sports interests and talents.
Application Of The Expert System Of Certainty Factor Methods In Diagnosing Thyroid Disease Ellanda Purwawijaya; Fithrie Soufitri; Fahmi Ruziq; Dinur Syahputra
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Thyroid gland disease or what is called hyperthyroidism is a disease that is often found in the community. The body's need for thyroid hormone is needed to control body growth and process food metabolism into energy. An overactive thyroid gland produces thyroid hormone which causes high levels of thyroid hormone in the blood. This condition is known as hyperthyroidism. In the medical world, to be able to diagnose hyperthyroidism is difficult, because the symptoms of hyperthyroidism vary greatly, depending on the rise and fall of thyroid hormones. From the above problems, a technology utilization is needed to reduce each problem and implement it into an expert system. An expert system is a branch of artificial intelligence that uses special knowledge/knowledge to solve problems at the human expert/expert level. Expert systems have been developed in various sciences, one of which is in the field of medicine to diagnose diseases. The expert system used to determine the diagnosis of the disease will help confirm the diagnosis and provide advice and therapy in the treatment of the disease. The test results "Expert System Diagnosing Hyperthyroid Disease Using the Certainty Factor Method" show that this expert system can diagnose hyperthyroidism according to the answers given by the user with an accuracy value of 100%.
Implementation Of Neural Network With Perceptron Method For Letters Or Text Recognition Ekatri Ayuningsih; Eko Afrianto
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Modeling with neural networks is the learning and adjustment of an object. The perceptron method is a learning method with supervision in a neural network system. In designing a neural network that needs to be considered is the number of specifications that will be identified. A neural network consists of a number of neurons and a number of inputs. In identifying some letters, it takes several neurons to distinguish them. These neurons will generate a combination value that is used to identify the letters.so that the resulting network must have parameters that can be set by changing through the rules of learning with supervision. In this case, the identification of letters and numbers will be discussed. Visual basic 6.0 is used to simulate the learning process using the perceptron method
Implementation Of The Linear Congruent Method In Interactive Quiz Games Application Tonni Limbong; Zekson Arizona Matondang
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The implementation of the Linear Congruent Method (LCM) in the interactive quiz game based on macromedia selects the suitcase used to generate random numbers. Generating numbers using the linear congruent method uses the formula x(n+1) = (axn+c) mod m. Giving variable values that continue to change greatly affects the game process and can avoid the occurrence of fixed or repeated patterns. In addition, giving a variable that changes can also prevent duplication of questions in a row. Meanwhile, to prevent unwanted random numbers from emitting is to set the variable m as a barrier. From the results of the implementation of the above method in an interactive quiz based on macromedia flash, it can display very varied suitcases that can be played by users with each level of difficulty.
SELECTION OF SCIENCE OLYMPIAN USING ANALYTICAL HIERARCHICAL PROCESS METHODS Dicky Apdilah
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Decision Support System is an interactive system, which helps decision makers through the use of data and decision models to solve semi-structured and unstructured problems. Analytical Hierarchy Process (AHP) is a decision support model developed by Thomas L. Saaty, a mathematician. This decision support model will solve complex problems by structuring a hierarchy of criteria, stakeholders, results and by drawing various considerations to develop weights or priorities.

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