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All Journal Elkom: Jurnal Elektronika dan Komputer JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Mantik REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Infortech Indonesian Journal of Networking and Security - IJNS

Fachrurozi, Ahmad

Universitas Bina Sarana Informatika

Author-ID : 3998894

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science

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Articles

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Algorithm Implementation Of Interest Buy Apriori Data On Consumer Retail Sales In Industry Ahmad Fachrurozi; Mufid Junaedi; Jordy Lasmana Putra; Windu Gata
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 1 (2020): ---> EDISI JULI
Publisher : Universitas Medan Area

This data processing has the aim to increase the company's turnover, because by being aware of how the interest in buying goods works, the company can buy products other than the main products that it buys. In increasing company revenue can be done using the Data Mining process, one of which uses a priori algorithm and association techniques. With this a priori algorithm found association technique which later can be used as a pattern of purchasing goods by consumers, this study uses a data repository of 958 data consisting of 45 transactions. From the results obtained goods with the name Paper Chain Kit 50's Christmas is a product that is often bought by consumers and it is known that the most frequent combination patterns are the Retro Spot Paper Chain Kit and the Paper Chain Kit 50's Christmas. So that with known buying patterns, the company manager can predict future market needs, and can calculate the stock of goods that must be reproduced, and goods whose stock must be reduced, and also with the results of the association the manager can manage the layout of the product to be better.Keywords: Apriori Algorithm, Sales Data, Retail.

Analysis of the classification of terrorist attacks in Indonesia Mufid Junaedi; Ahmad Fachrurozi; Mochammad Rizky Kusumayudha; Windu Gata
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 1 (2020): ---> EDISI JULI
Publisher : Universitas Medan Area

Terrorist attacks are now being global issue both in developing and developed countries. There are more than 180,000 terrorist attacks in 1970-2017. Indonesia is one of the countries attacked by terorist. Bombings and firearms cause fatalities. Classification of terorist attacks can be performed based on either the attack succed or not. Succed attack is defined as an unavoided action that caused fatalities. There are seven attributes studied in this paper: year, month, attack type, terorist name, target attack, city, and weapon type uses to attack. Evaluations shows that k-NN classiefier exerts the highest accuracy of 90.79%, followed by naïve bayes 80.45%, and C4.5 of 88.825%.Keywords: Indonesia Terrorist, Classification Algorithm, Terorist Algorithm Classification.

Co-Authors Abdul Latif Ahmad Hafidzul Kahfi Ali Mustopa, Ali Dinar Ismunandar Ipin Sugiyarto Jordy Lasmana Putra Lady Agustin Fitriana Lady Agustine Mochammad Rizky Kusumayudha Mochammad Rizky Kusumayudha Mufid Junaedi Mufid Junaedi Muhammad Ifan Rifani Ihsan Rizka Dahlia Umi Faddillah Windu Gata Windu Gata

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Journal : journal of informatics and telecommunication engineering