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[Data Mining Analysis To Determine The Inventory Of Food Sales During The Pandemic With The K-Means Clustering Method ]]>
<![CDATA[David C. Hutajulu]]>;
<![CDATA[Yulianus Zega]]>;
<![CDATA[Unggul Siregar]]>;
<![CDATA[Jepri Banjarnahor]]>
<![CDATA[ INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[Currently, many businesses are no longer operating because people no longer shop directly for direct sales, but now many people shop online. This is one of the problems faced by sales that do not market their goods online, so there has been a buildup of inventory for the last 2 years during this pandemic. It is difficult for the company to know which types of goods will be sold a lot and a little every day because the system is still in use only for input. So with that there needs to be a system that solves the problem. In this study, the K-Means method will be used to determine the most sales. This system has carried out the clustering process with the K-Means method by utilizing the data of past items. The results of this research in cluster 1 with a value of Cluster 1 -> 358.64 245.9775 while in Cluster 2, Cluster 2 -> 45.39 22.824285714286.]]>
<![CDATA[ANALYSIS OF SUGENO'S FUZZY INFERENCE SYSTEM IMPLEMENTATION TO DETERMINE THE NUMBER OF GOODS ORDERS AT SUZUYA SUPERMARKET ]]>
<![CDATA[Hendrik K. Laoli]]>;
<![CDATA[Annisa Maulida]]>;
<![CDATA[Jegedis Pri]]>;
<![CDATA[Yonata Laia]]>
<![CDATA[ INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[Currently, supermarkets in Indonesia had become a shopping place in great demand by the public, in terms of strategic location, also with the types of goods available such as food that people need every day. With so many shopping enthusiasts to supermarkets such as Alfamart, Suzuya then every types of goods there were a lot that must be done to increase the stock of goods to remain available, but because the number of types of goods would be provided, employees for the stock of goods were overwhelmed in checking the stock of goods would be carried out additional stock. Therefore, there needs to be a system that would help every employees work in the supermarket, especially those who did the stock recording of goods in warehouse employees. In this study, analyzed Sugeno's Fuzzy Inference System in order to provide effective and efficient work in the ordering section of goods supplied at supermarkets. The results of this study concluded that using Sugeno's Fuzzy Inference System system was faster in determining the stock to be provided to supermarkets]]>
<![CDATA[Analysis of Satisfaction the fast Food Restaurants using the C.45 Method in Medan ]]>
<![CDATA[Fahri Chairullah]]>;
<![CDATA[Muhardi saputra]]>;
<![CDATA[Nahla Naisylla Lubis]]>;
<![CDATA[Dedi Andika Sihombing]]>;
<![CDATA[Palma Juanta]]>
<![CDATA[ INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence ]]>
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<![CDATA[Analysis of customer satisfaction with fast food restaurants at one of the fast food restaurants, namely KFC in the city of Medan, is an interesting thing that the author wants to do. This restaurant has many branches. The city of Medan which consists of 21 sub-districts has at least 1 (one) KFC. With so many restaurants, there are various ratings expressed by the customer. Because there are slight differences between one another. when it comes to taste, there will be one voice for the consumers, but not on the price, facilities and services. However, there are also consumers who state that the taste is not good at one of the branches. Research data taken as many as 100 random consumers from different locations. The method used to analyze customer satisfaction is the c4.5 algorithm. The results obtained are the analysis of customer satisfaction which is the highest in taste at 64%. If it tastes good then the customer will feel very satisfied. If there is a bad taste, then the customer considers other things to make them feel satisfied with the fast food restaurant]]>
<![CDATA[CREDIT CONGESTION ANALYSIS AT PT. SINARGA GALANG USING THE C4.5. ALGORITHM METHOD ]]>
<![CDATA[Muhardi Saputra]]>;
<![CDATA[Jenifer, Jenifer]]>;
<![CDATA[Denisyah Sitorus]]>;
<![CDATA[Situmorang, Devi Br]]>
<![CDATA[ INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence ]]>
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<![CDATA[Credit congestion is a serious problem that is often faced by companies engaged in credit services. PT. Sinarga Galang is a company engaged in selling cars with cash or credit payment systems. The author takes data on the company's credit system in the bad category. Because the company can't analyze the credit jams that occur so it doesn't produce the right decisions in terms of filtering consumers who want to do credit. The number of bad loans, the company will go bankrupt but do not use the credit system, it will reduce sales as well and eventually can go bankrupt as well. For this reason, proper analysis is needed in classifying corporate credit bottlenecks. The method that the author uses is the C4.5 algorithm. This method is often used in research in the case of data classification because the results are precise. The results obtained in the study are a decision tree in the form of (1) if the dependents are: stuck (2) the dependents are few: stuck (3) the dependents are large: the salary is high: smooth (4) the dependents are the: moderate salary: stuck (5) the dependents are many : meager salary : smooth. These results are seen from the influence of the criteria that occur in the data, namely the number of dependents, salary / business income, monthly tenor or home ownership status. The data processing used is 100 data]]>
<![CDATA[Analysis of Academic Service Satisfaction Levels From the Perspective FTIK UNPRI Students Use the Method Importance Performance Analysis(IPA) ]]>
<![CDATA[Angga Snidres Girsang]]>;
<![CDATA[Elida Mardiana Manik]]>;
<![CDATA[Egi Suranta Bangun]]>;
<![CDATA[Saut Parsaoran Tamba]]>
<![CDATA[ INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[In the field of education, the level of comfort is an important service in activities. Especially students who are studying, lectures will be very enjoyable if the services provided are in line with expectations. In the academic section of the Prima Indonesia University campus, there are still many things that are beyond expectations. Especially in the academic service section, the level of student satisfaction has not been taken into account. Because there are still many students who do not feel that they have good facilities. So this study will test the academic services of the Prima Indonesia University campus. Student realities and expectations can be collected with questionnaire data. Students who are respondents will provide results in the form of a dataset that will be processed using the SPSS version 23 data processing application. The results of data testing will be carried out in the Importance Performance Analysis (IPA) method to get better and detailed results. The use of the IPA method will produce a catesian diagram as a result of the test. So that the results of the dataset are obtained to be used as conclusions in this study. From the results of the average level of conformity contained in the table for calculating the level of conformity. Got an average of 97%. Based on this, the level of service provided is close to the respondent's expectations. From the results of the average level of conformity contained in the table for calculating the level of conformity. Got an average of 97%. Based on this, the level of service provided is close to the respondent's expectations. From the results of the average level of conformity contained in the table for calculating the level of conformity. Got an average of 97%. Based on this, the level of service provided is close to the respondent's expectations.]]>
<![CDATA[Triple Exponential Smoothing Analysis in Predicting Numbers Request for Delivery of Logistics CV. Lotus Mas Express ]]>
<![CDATA[Elvis Sastra Ompusunggu]]>;
<![CDATA[Andrean Wirjana]]>;
<![CDATA[Silemberesen Silemberesen]]>;
<![CDATA[Dea Junia Dea Junia]]>
<![CDATA[ INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[CV. Teratai Mas Express is a company engaged in services, namely transportation services or commonly called expeditions. But this company specializes in transportation logistics. The problem that is often faced by this company is that it often suffers losses due to being unstructured in terms of stock transportation inventory to the number of delivery requests. Especially in certain seasons and usually the corn harvest season. Demand rose, but companies often made mistakes in providing their freight. Sometimes advantages and sometimes disadvantages. Excess or shortage of these supplies in a high level. Suppose the company provides 14 transportations but only 8 is used or vice versa, resulting in a large loss. For this reason, a precise prediction calculation is needed so that the number of logistics delivery requests can be predicted efficiently in order to reduce large losses. The prediction method that I use is Triple Exponential Smoothing. This method is suitable for use in this case because the number of logistics delivery requests increases in certain seasons and this method can analyze it.]]>
<![CDATA[Recommendations for Placement of Internships in Industry with the Distance from Average Solution (EDAS) method based on student scores ]]>
<![CDATA[Tomy Satria Alasi]]>;
<![CDATA[murdani murdani]]>
<![CDATA[ INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[Currently, the Indonesian Ministry of Education has implemented a new rule with every student expected to have an internship in the industry. With the aim of each student being able to understand the situation of the world of work so that preparation before completing a bachelor's degree is stronger. However, one of the problems found is that students cannot determine the placement of internships. This study tries to provide a solution to these problems by applying the rules from the head of the study program to provide recommendations to students. These rules are built based on student academic scores stored in the campus database which is controlled by the head of the study program. The method used is Distance from Average Solution (EDAS). The EDAS method is to determine the highest ranking using PDA is the positive distance from the average and (NDA) is the negative distance from the average. The results of this study provide recommendations automatically in the hope of supporting the current campus academic system.]]>
<![CDATA[Analysis of the location of the installation of cellular towers by the method Simple Multi Attribute Rating Technique Exploiting Rank (SMARTER) ]]>
<![CDATA[Putra Edi Mujahid]]>;
<![CDATA[Ryan Chandra]]>;
<![CDATA[Andri Syahputra Tarigan]]>;
<![CDATA[Maya Frida Panjaitan]]>
<![CDATA[ INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[Cellular is the most important thing for today's society. For this reason, a strong signal is a priority as a means that must exist to support the cellular to work properly. Installation of cellular towers for the need for strong signal is important. PT. Solusi Tunas Pertama is a company engaged in cellular tower construction services. The problem found is that it is difficult to determine the right tower installation due to the conditions and environment as well as the impact of the cellular tower. For this reason, an analysis is needed in determining the right area for the installation of the cellular tower. In this study, the authors use the criteria of population density, distance, access, existing towers and costs. These five criteria are often used by companies for location assessment. The author uses the SMARTER method in analyzing the determination of the location of the cellular tower installation of PT. Solusi Tunas Pertama. The results obtained are that the Gunung Kiri Village area is the right location for the installation of cellular towers with a value of 60,58929 compared to other locations, namely Sisiran Forest and Balunga Rice Fields. The author conducted this research with the aim of assisting the company in determining the location of tower installation with the right confidence without the need to just guess so that the decision is not right.]]>
<![CDATA[IMPLEMENTATION OF THE E-VOTING SYSTEM IN THE ELECTION OF THE OSIS SMA DHARMA PANCASILA VOCATIONAL SCHOOL BASED ON WEB-BASED METHODS RAPID APPLICATION DEVELOPMENT (RAD) ]]>
<![CDATA[Eka Hayana Hasibuan]]>;
<![CDATA[Roy Nuary Singarimbun]]>;
<![CDATA[Baginda Harahap]]>
<![CDATA[ INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence ]]>
Publisher : <![CDATA[Sean Institute ]]>
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<![CDATA[In manual voting often results in errors in vote counting, The goal to be achieved from making this e-voting application is to be able to assist committee officers in calculating the number of voters and election results quickly and accurately. For data analysis techniques using Rapid Application Development (RAD) method, which is one of the data analysis while to design this application the method used is object-oriented design using the Unified Modeling Language (UML). Based on the analysis of system requirements, a system was created web-based student council chairman election. The choice of a web-based system was due to This website is widely known by the public. So to finish The problem was proposed by a web-based e-voting system. In conclusion with With this application, general elections can run honestly and fairly and can minimize errors that can be made by humans or reduce manipulation and fraud that can occur.]]>
<![CDATA[COMPUTER LAB NETWORK DESIGN USING MICROTIK ON SMK DHARMA PANCASILA ]]>
<![CDATA[Dinur Syahputra]]>;
<![CDATA[Ellanda Purwawijaya]]>;
<![CDATA[Fithrie Soufitri]]>;
<![CDATA[Lina Lina]]>
<![CDATA[ INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence ]]>
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<![CDATA[This research uses Mikrotik to design a computer lab at SMK Dharma Pancasila. After implementing the network built at SMK Dharma Pancasila, Sungai Kanan District, it will be obtained a knowledge that; Networks built with Mikrotik provide cost efficiency because the client does not require high-specification hardware and also does not require certain software. Then the distribution of the network used on the proxy is very useful so that the client's performance can be maximized. And with the network, network administration can be done more easily because it is centralized in Mikrotik.]]>
