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All Journal Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Ilmiah Informatika dan Ilmu Komputer CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Journal of Data Science and Information System Journal of Artificial Intelligence and Technology Information Jurnal Media Jawadwipa
Nuroji Nuroji
Universitas Muhammadiyah Prof. DR. HAMKA
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Library & Information Science

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Journal : Journal of Data Science and Information System

 1 
Sistem Pendukung Keputusan Penentuan Pelanggan Terbaik Menggunakan Profile Matching A. Ferico Octaviansyah Pasaribu; Nuroji Nuroji
Journal of Data Science and Information Systems Vol. 1 No. 1 (2023): Volume 1 Number 1 February 2023
Publisher : Journal of Data Science and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/dimis.v1i1.16

Abstract

The purpose of this study is to determine the best customer from the customer loyalty indicator which will measure the extent to which customer loyalty is formed by the company's efforts. So that other customers become more motivated from the rewards given by the company for determining the best customer. The best customer decision support system assists companies in automation and computerization in determining the best customers based on criteria set by the company. The results of data collection obtained the criteria used in determining the best customer, namely total payments, purchase frequency, and type of payment. The results for determining the best customer for rank 1 were obtained by a customer named Sri Widianingsih with a final score of 3.04. Rank 2 was obtained by a customer with the name Ahmad Budiantoro with a final score of 2.9175. Rank 3 is obtained by a customer with the name Kusumaningrum with a final score of 2.5975.
Penerapan Intrusion Detection and Prevention System (IDPS) pada Jaringan komputer sebagai pencegahan serangan Port-Scanning Nuroji Nuroji
Journal of Data Science and Information Systems Vol. 1 No. 2 (2023): Volume 1 Number 2 May 2023
Publisher : Journal of Data Science and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/dimis.v1i2.35

Abstract

Keamanan adalah faktor penting yang harus dipertimbangkan saat perangkat terhubung ke jaringan internet publik. Ancaman seperti pencurian informasi, kehilangan atau manipulasi data, dan gangguan layanan sering terjadi pada jaringan publik. Sebagai administrator jaringan, keharusan untuk terus memantau dan mencegah ancaman keamanan, terutama terhadap jaringan, untuk mengurangi risiko dan kerugian yang ditimbulkan oleh tindakan yang tidak bertanggung jawab. Aplikasi Port Scanner digunakan untuk memperoleh informasi atau status protokol dan port yang terbuka pada suatu perangkat. Dari informasi tersebut, serangan terhadap sumber daya jaringan dapat dilakukan, seperti Distributed Denial of Service (DDoS). Oleh karena itu, peneliti melakukan mitigasi terhadap serangan Port Scanner pada Router Mikrotik dengan menerapkan metode Port Scan Detection (PSD).
Co-Authors A Ferico Octaviansyah Pasaribu Alita, Debby Isnain, Auliya Rahman Taufiq Martiwansyah Very Hendra Saputra