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Journal : INFOKUM

DECISION SUPPORT SYSTEM TO CHOOSE SMARTPHONE USING TOPSIS METHOD Agung Hamdika Surya; Ilka Zufria; Yusuf Ramadhan Nasution
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1082.032 KB)

Abstract

Technology has developed very rapidly nowadays, especially on smartphones. Nowadays smartphone is an item that is in great demand by everyone. smartphone is a mobile phone that has a function like a computer and also called mini computer. There are people who find it difficult to choose a smartphone with various advanced features available. Therefore, a decision support system was made using the TOPSIS method to select the smartphone that suits your needs. TOPSIS (Technique for order prefrence by similarity to ideal solution) is one of the multi-criteria decision making methods to find preference values ​​based on criteria and alternatives. A total of 7 criteria chosen by the author that are: price, brand, ram, battery, front camera, rear camera and display. Therefore, the alternatives used are Samsung A20, Xiaomi Mi A1, Realme C2, Asus Zenfone Max M2 and Oppo F5 Youth. The data is then calculated using the TOPSIS method based on the stages. So that we can get the preferences value and the rank of the smartphone we wanted which is then implemented into a web-based application. Keywords : Smartphone, TOPSIS, DSS
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (397.66 KB)

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.
Android-Based Algorithm and Programming Learning Media Mobile Application Yusuf Ramadhan Nasution
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (905.253 KB)

Abstract

This research is a type of development research. The product development model adopts a software development model consisting of (1) Analysis of software requirements, (2) design, (3) writing code and (4) testing. Data collection techniques are done by observation, interviews and questionnaires. The testing phase is carried out with product validation by experts, testing on the first user (lecturer) and testing on the end user (student).