Volvo Sihombing
Universitas Labuhan Batu

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Journal : INFOKUM

APPLICATION OF APRIORIC ALGORITHM IN ORDERING PRINTING MATERIALS Ita Sari Nova Sitompul; Volvo Sihombing; Masrizal
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (528.482 KB)

Abstract

Wendy Printing is one of the printers that collaborates with Labuhan Batu University, especially in the Computer Science faculty, Wendy's printing is located on the Jalan setia budi intersection of Labuhan Batu University campus. Wendy printing leaders and employees sometimes have difficulty knowing how many teaching materials are printed in one transaction, so that Wendy's printing leaders are still manual / speculative in printing teaching materials. The application of data mining for ordering teaching materials at the faculty of computer science at Labuhan Batu University in the wendy print can produce association rules that can be seen and analyzed for the results, so that the print leader can see the frequency of teaching materials that often occur in every transaction. Therefore, analysis and testing are carried out,
DESIGN OF LEARNING APPLICATION SYSTEM TO KNOW INDONESIAN LANGUAGE OBJECTS FOR EARLY CHILDHOOD EDUCATION Ilham Pratama; Volvo Sihombing; Ibnu Rasyid Munthe
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (527.643 KB)

Abstract

Today, along with the times, which are supported by the rapid development of technology, all aspects of life cannot be separated from the influence of technology. The research was conducted to try to conduct research with the aim of examining more deeply what ingredients can be said to be harmful in food, how the performance of BBPOM in determining these hazardous materials, and how BBPOM will follow up if it has been found that some foods containing hazardous ingredients have been found. and what steps are taken to minimize the use of these hazardous materials in order to maintain the health of consumers. In drawing conclusions in expert systems, Forward Chaining and Backward Chaining are generally used. However, with the use of these two reasons, it is not possible to determine the value of confidence in the hypothesis. Based on the research conducted, it was found several things that can be observed in the development of uncertainty consultation media in the identification of formalin and borax in meatballs, namely the following, including the existence of an expert system with the certainty factor method, so that people can find out the characteristics of formalin meatballs without meeting directly with expert doctors or the expert. Likewise for designing expert system applications to identify food hazards in Formalin and Borax can use Visual Studio 2010 Applications Based on the research conducted, it was found several things that can be observed in the development of uncertainty consultation media in the identification of formalin and borax in meatballs, namely the following, including the existence of an expert system with the certainty factor method, so that people can find out the characteristics of formalin meatballs without meeting directly with expert doctors or the expert. Likewise for designing expert system applications to identify food hazards in Formalin and Borax can use Visual Studio 2010 Applications Based on the research conducted, it was found several things that can be observed in the development of uncertainty consultation media in the identification of formalin and borax in meatballs, namely the following, including the existence of an expert system with the certainty factor method, so that people can find out the characteristics of formalin meatballs without meeting directly with expert doctors or the expert. Likewise for designing expert system applications to identify food hazards in Formalin and Borax can use Visual Studio 2010 Applications
IMPLEMENTATION OF EXPERT SYSTEM TO IDENTIFY FORMALIN AND BORAX CONTENT IN FOOD USING THE CERTAINTY FACTOR METHOD Lisa Pristiwani Hasibuan; Volvo Sihombing; Muhammad Halmi Dar
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (527.028 KB)

Abstract

Today, along with the times that are supported by the rapid development of technology, all aspects of life cannot be separated from the influence of technology. In terms of food, it is also supported by the role of women, nowadays women are born not only to take care of the household, but also to become women who earn big or often called career women, so that there is almost no time to prepare food for the family, so it is not surprising that food Fast food is preferred as one of the main alternatives to filling the stomach considering the taste of the food served and the serving time is only a matter of minutes so it doesn't waste a lot of time. However, without realizing it, some types of fast food that are often consumed contain several types of harmful ingredients that trigger the onset of chronic diseases, such as: heart attack, insulin resistance, diabetes, and several other dangerous diseases. Seeing this impact, so the author is interested in making an expert system application to identify the content of formalin and borax in food. In drawing conclusions in expert systems, Forward Chaining and Backward Chaining are generally used. However, with the use of these two reasons, it is not possible to determine the value of confidence in the hypothesis. So that the expert system can do reasoning like an expert even in conditions of data uncertainty and to get a confidence value in this case the author uses a method to solve the data using the Certainty Factor (CF) method. The Certainty Factor method is a method that defines a measure of certainty against a fact or rule, to describe the level of expert confidence in the problem at hand,