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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 84 Documents
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Search results for , issue "Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence" : 84 Documents clear
DESIGN VIDEO COMPANY PROFILE BASED ON 3D ANIMATION ON MILLENNIUM ICT MEDAN Syarifah Fadillah Rezky; Fifin Sonat; Junus Sinuraya
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Nowadays humans are very dependent on technology, this is what makes technology a necessity for some humans. Social media is a medium that helps to socialize with each other and is done online which allows humans to interact with each other anytime and anywhere. Therefore, social media content is very important in the current era, especially during this pandemic, so the company profile video is very influential to the community, because not everyone knows about Millennium ICT Medan. The presence of social media in digital era marketing can be seen from two sides, namely the social media user side and the promotion side. Design this marketing promotional content to attract customers to know what the author is promoting and encourage (invite) to become customers
Implementation of Greedy Algorithm for Profit and Cost Analysis of Swallow's Nest Processing Dirty to Finished Products Efendi Efendi; Daniel Ryan Hamonangan Sitompul; Stiven Hamonangan Sinurat; Ruben Ruben; Andreas Situmorang; Dennis Jusuf Ziegel; Julfikar Rahmad; Evta Indra
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Swallow's nest is made from the saliva of swallows, especially species of swallows of the genus Collocalia. Swallow's nest is used traditionally to improve health so it is widely consumed by the community. Swallow nest products are difficult to produce, causing the product to be expensive. This study aims to analyze the costs and benefits of swallow nest production. The analysis uses the Greedy algorithm, which is looking for solutions to each stage of production. The principle of Greedy's algorithm is "take what you can get now". There are 6 processes in the production of swiftlet nests, namely sorting raw materials, cleaning, drying, printing, in process control (IPC) and packaging. In the sorting and cleaning process, employees in the medium and medium to light nest categories were combined. The total costs incurred in the sorting process are reduced by 14% and the costs incurred in the cleaning process are reduced by 8%. The process of drying dense and medium hair nests takes the same time so that they are carried out simultaneously and the required cost is reduced by 11% to Rp 675,000. The stages of printing the original and super types of nests are combined because they have.
COMPARATIVE ANALYSIS OF PHISHING WEBSITE PREDICTION CLASSIFICATION ALGORITHM USING LOGISTIC REGRESSION, DECISION TREE, AND RANDOM FOREST Al Rifqi, Muhammad Fandru; Dina, Mauli; Anita, Anita; Nababan, Marlince N.K; Aisyah, Siti
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Almost all daily activities are poured into the Internet, and users interact by having a personal account that is linked to the world's data, by giving each user access to view various information around the world through the website. However, with the increasing number of users accessing the internet, the confidentiality of internet users' data is increasingly vulnerable to being stolen by irresponsible individuals or groups. Phishing is an attack in which an attacker tries to steal confidential information from a target person by sending a fake link. Attackers steal personal information entered by users on fake websites. In comparing the prediction classification of phishing websites using the logistic regression algorithm, decision tree
IMPLEMENTATION OF DATA MINING ALGORITHM FP-GROWTH IN MILK SALES IN PT. ASIA JAYA TOGETHER USING ASSOCIATION RULE METHOD Tajrin, Tajrin; Samosir, Samuel; Aritonang, Lilis Suryani
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

This study aims to determine the types of dairy products that are most often sold based on weekly sales data. In addition, this study aims to find out what type of milk will be in more stock, and to place milk in one cupboard with several types of milk that are often purchased by consumers. With this aim for time efficiency in making it easier for consumers to take goods, and make the company easier for sure. This research was conducted at PT. Asia Jaya Bersama, Medan City, North Sumatra. The basic method used in this research is the association rule method and its implementation uses the survey method. The algorithm used to simplify the method is the frequent pattern growth (fp-growth) algorithm
SENTIMENT ANALYSIS COMPARE LINEAR REGRESSION AND DECISION TREE REGRESSION ALGORITHM TO DETERMINE FILM RATING ACCURACY Rivaldo Sitanggang; Daniel Ryan Hamonangan Sitompul; Stiven Hamonangan Sinurat; Ruben, Andreas Situmorang; Denis Jusuf Ziegel; Julfikar Rahmad; Evta Indra
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Rating assessment in a film is the most important thing because it describes the satisfaction of film lovers with the films they have watched. With technological advances like now, we can easily find out the rating of a film by using a platform to accommodate the audience's review results, namely the Internet Movie Database (Imdb). The Machune Learning model that has been created can determine whether the film we watch is good based on ratings and reviews from moviegoers who share their experiences in watching similar films. Based on the results of the analysis of the two algorithms Linear Regression and Dicision Tree Regression, the best accuracy results from the Decision Tree Regression algorithm are 95.47%
CLASSIFICATION OF ELECTROCARDIOGRAM (ECG) WAVES OF HEART DISEASE USING THE XGBOOST METODE METHOD Butarbutar, Serly Yunarti; Napitupuluh, Christian Deniro; Ginting, Nessa Sanjaya; Indra, Evta; Sitanggang, Delima
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

CLASSIFICATION OF ELECTROCARDIOGRAM (ECG) WAVES OF HEART DISEASE USING THE XGBOOST METODE METHOD
WEB-Based Design of E-Commerce for Small and Medium Enterprises in Bengabing Village Dewi Wahyuni Dewi; Ekatri Ayuningsih
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The development of UMKM has been influenced by the development of information technology and information systems. E-Commerce is one of the technologies that supports the development of UMKM and trade today. The design of this E-Commerce application is designed and built using the waterfall development model. This study aims to develop a sales system for UMKM using information technology and information systems such as E-Commerce. E-Commerce technology is designed and built using website-based applications, making it easier for UMKM users and members to promote UMKM products and their businesses. The main target of using this technology is the UMKM in Bengabing Village, Pegajahan District. Users of this application are administrators who have full rights to application processing and application data, in terms of entering product data. It is hoped that the application of this E-Commerce application can be a medium for developing sales and marketing of UMKM products in Bengabing Village. Users of this application are administrators who have full rights to application processing and application data, in terms of entering product data. It is hoped that the application of this E-Commerce application can be a medium for developing sales and marketing of UMKM products in Bengabing Village. It is hoped that the application of this E-Commerce application can be a medium for developing sales and marketing of UMKM products in Bengabing Village.
APPLICATION OF DATA MINING TO DETERMINE THE LEVEL OF FISH SALES IN PT. TRANS RETAIL WITH FP-GROWTH METHOD Tamba, Saut Parsaoran; Sitanggang, Mario; Situmorang, Bimo Christhoper; Panjaitan, Gracia Laura; Marlince Nababan
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Trans Retail Indonesia is one of the shopping places in the city of Medan. Trans Retail Indonesia is engaged in providing raw materials such as selling fish. However, at Trans Retail Indonesia, sales data collection still uses a manual system, so this store has not been able to determine which type of fish has the highest level of sales. So this affects the availability of goods and results in a lack of stock in this store. So we need a data mining system with the FP-Grwoth method to analyze fish sales data so that the results of the analysis become a reference for stores in determining the supply of fish stocks. The results of the analysis carried out by researchers from the data obtained are the fish that is most in demand is the Jengka Split with a value of 90%, and if you take a split Jengka fish, you will take anchovy buntiaw with a value of 54%. If you take an anchovy, it will take a large anchovy and will take a white Peda fish with a value of 100%.
DATA MINING SYSTEM IMPLEMENTATION BY GROUPING SALES AT PT. GANDATAMA CROWN manullang, sehat saorasi; Palma Juanta
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

This research discusses how to classify the data from period to period by implementing the Apriori method. The data used in this research is sales in 2021-2022. Researchers have carried out stem analysis using the a priori data method used in February 2021. This system can classify sales according to the type of goods that consumers are more interested in. So the types of sales items that are included in the best-selling sales pattern are, 40%, 60%, 70%.
ANALYSIS OF THE K-NEAREST NIGBOAR METHOD TO DETERMINE THE ELIGIBILITY OF INTERNSHIP STUDENTS AT PRIMA INDONESIA UNIVERSITY Shriram ram; Medalsan C; Yanmil V. H. Purba; Jepri Banjarnahor
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

This study discusses how to determine the feasibility of interns who deserve to be awarded, by applying the K-NN method. Based on the problem in this study, it is difficult to determine prospective interns who will be rewarded for those who have special abilities, so this system aims to solve these problems using the K-NN method.. In this study, we have tested data with 5 types of criteria, where in this test we will try to collect the values that will be processed individually by inputting the values 1, 3, 4 and 2. Based on calculations, with discipline: 1, Have Expertise: 2, Able to Work in Team: 3, Able to communicate well: 1, then the result: Decent.

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