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All Journal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) Blend Sains Jurnal Teknik
Arief Budiman
Universitas Harapan Medan, Medan
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Implementasi Depth First Search dalam Game Tic Tac Toe Berbasis Android Muhammad Iqbal Arghribi Simanungkalit; Arie Usman; Arief Budiman
Blend Sains Jurnal Teknik Vol. 1 No. 2 (2022): Edisi Oktober
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (293.256 KB) | DOI: 10.56211/blendsains.v1i2.133

Abstract

Permainan Tic Tac Toe adalah permainan sederhana antara dua pemain yang secara bergiliran menandai ruang dalam kotak berukuran 3 x 3. Pemain yang pertama berhasil menandai tiga kotak berurutan secara horisontal, vertikal, maupun diagonal akan memenangkan permainan. Implementasi metode Depth First Search dilakukan untuk memberi kecerdasan kepada komputer sebagai lawan main. Depth First Search akan mengefisienkan pencarian pada papan permainan. Berdasarkan hasil implementasi yang telah dilakukan didapatkan bahwa untuk manusia melangkah pertama dan komputer sebagai pemain dapat melakukan pencarian langkah terbaik. Game tic tac toe ini dibuat menggunakan bahasa pemrograman C# dan software dari Untiy 3D dan menghasilkan game tic tac toe berbasis android.
Implementation of Multi-Objective Optimization on The Basis of Ratio Analysis (MOORA) Method in Determining The Best Employees Yuyun Dwi Lestari; Arief Budiman; Dedy Irwan; Anggi Hanafiah
The IJICS (International Journal of Informatics and Computer Science) Vol 6, No 3 (2022): November 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v6i3.5606

Abstract

Employees are one of the wealth owned by the company. Employees are also able to advance the company and benefit the company if the employee has good performance. Therefore, decision makers in the company must determine the best employees in order to motivate their employees to work well. Decision makers are often faced with difficulties in decision making with so much data. To avoid this, a decision support system can be used with the method of MULTI-OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS (MOORA) which can help determine the best employees by using predetermined criteria and weights. The criteria used are attendance, letter of reprimand, appreciation, responsibility and timely reporting of duties. This Moora method can help users in determining the Best Employees with optimization values based on these criteria.
Implementasi algoritma Autoregressive Moving Average dalam megukur kejadian kriminalitas berdasarkan data media online Pebbi Pratama Putra S; Rsyidah siregar; Arief Budiman
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5785

Abstract

Criminal acts are increasing day by day and have significant social effects. Online information media is a daily source of information that contains articles on criminal acts that can be read by citizens or the public in Indonesia. Several online information media portals such as okezone.com, Tribunnews.com, kompas.com and detik.com have become the most frequently accessed online information media. The problem in this study will be to find out the criminal rate based on the data from the crawling of news media online media that has been obtained with the crawling technique, the results of the crawling will be analyzed using the Autoregressive Moving Average algorithm so that the crime rate is known based on the data of online media media. The purpose of this study is to measure the crime rate based on news articles published in online information media in Indonesia so that it can be known and compared to police data obtained from the Central Statistics Agency. In achieving this goal, the crawled data in the form of criminal category data will be used to predict the criminal rate.
Co-Authors Anggi Hanafiah Arie Usman Dedy Irwan Muhammad Iqbal Arghribi Simanungkalit Pebbi Pratama Putra S Rsyidah siregar Yuyun Dwi Lestari