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Journal : INFOKUM

IMPLEMENTATION OF APRIORI ALGORITHM IN DETERMINING THE LEVEL OF PRINTING NEEDS R. Mahdalena Simanjorang
INFOKUM Vol. 8 No. 2, Juni (2020): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

Competition in the business world, especially in the increasingly difficult printing world, requires developers to find strategies to increase orders for printed products ordered. An increasing number of order data every day can be used to develop marketing strategies if processed correctly. A priori algorithms include the type of association rules in data mining. One of the stages of association analysis that attracts many researchers to produce efficient algorithms is the analysis of high-frequency patterns (frequent pattern mining). The importance of an association can be known by two benchmarks, namely: support and confidence. Support (support value) is the percentage of the combination of these items in the database, while confidence (certainty value) is the strength of the relationship between items in association rules.
APRIORI ALGORITHM FOR THE DETERMINATION OF THE GOODS SALES MARKET BANK Fricles Ariwisanto Sianturi; Petti Indrayati Sijabat; Amran Sitohang; R. Mahdalena Simanjorang
INFOKUM Vol. 9 No. 1,Desember (2020): Data Mining, Image Processing,artificial intelligence, networking
Publisher : Sean Institute

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Abstract

Data mining a process of finding meaningful new relationships, patterns, and trends by filtering the huge data stored in the database using pattern recognition techniques. One of the data mining techniques is the a priori algorithm. A priori algorithm is defined as an algorithm for finding the highest frequency patterns. Currently, the a priori algorithm has been implemented in various fields, one of which is in the field of business or trade and the field of education. Market basket analysis technique or market basket analysis is a data mining technique that aims to find products that are often purchased simultaneously from transaction data. Bina Karya Swalayan is a modern market that has various types of goods. Where in the supermarket there are still some problems faced by a manager and employees
Election Of The Head Of The Study Program By Applying The SAW Method (Case Study STMIK Pelita Nusantara) Bosker Sinaga; R. Mahdalena Simanjorang
INFOKUM Vol. 9 No. 1,Desember (2020): Data Mining, Image Processing,artificial intelligence, networking
Publisher : Sean Institute

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Abstract

The election of the Head of the Study Program is very important to consider the maximum results of services to students. In the process of selecting the Head of the Study Program at STMIK Pelita Nusantara, they usually directly appoint those who occupy the position with several elements. Determination of the Head of the Study Program is very necessary by making some general and specific criteria and expertise in their fields. The system that is needed is the Decision Support System for the Head of Study Program Decision. The variables specified in this study are 1) General which includes: Functional Position, Status, Expertise. 2) Specifically covering: Attitude Value, General Knowledge Test Value, Field Knowledge Test Value, and Interview. This system was built by applying the web-based Simple Additive Weighting (SAW) method and MySQL as the database
IMPLEMENTATION OF THE MAMDANI METHOD TO DIAGNOSE EXPERT SYSTEM-BASED DISEASES OF THE MOUTH R. Mahdalena Simanjorang; Agustina Simangunsong
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

Development of systems and information technology including expert systems that use facts, techniques and knowledge and reasoning in solving problems. Expert systems that are currently developing are systems that adopt the knowledge of an expert in a particular field. In everyday life we ​​often encounter problems faced by humans, including disease problems that exist in the human body, so we need to consult an expert in the health sector to solve these problems. However, sometimes patients with disease cannot consult an expert due to the large number of patients as well as time and cost issues. In these existing problems, it is necessary to develop a system that can help these patients, namely by developing an expert system model for diagnosing oral disease by utilizing the Mamdani method. The mamdani method will assist in diagnosing the disease.