cover
Contact Name
Mesran
Contact Email
mesran.skom.mkom@gmail.com
Phone
+6282161108110
Journal Mail Official
resolusi@djournals.com
Editorial Address
Jalan Sisingamangaraja No. 338, Simpang Limun, Medan, Sumatera Utara
Location
Kota medan,
Sumatera utara
INDONESIA
RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI
ISSN : -     EISSN : 27457966     DOI : -
Core Subject : Science,
Resolusi : Rekayasa Teknik Informatika dan Informasi, membahas ilmu dibidang Informatika, Sistem Informasi, Manajemen Informatika, DSS, AI, ES, Jaringan, sebagai wadah dalam menuangkan hasil penelitian baik secara konseptual maupun teknis yang berkaitan dengan Teknologi Informatika dan Komputer. Topik utama yang diterbitkan mencakup: 1. Teknik Informatika 2. Sistem Informasi 3. Sistem Pendukung Keputusan 4. Sistem Pakar 5. Kecerdasan Buatan 6. Manajemen Informasi 7. Data Mining 8. Big Data 9. Jaringan Komputer 10. Dan lain-lain (topik lainnya yang berhubungan dengan Teknologi Informasi dan komputer)
Articles 2 Documents
Search results for , issue "Vol. 2 No. 2 (2021): RESOLUSI November 2021" : 2 Documents clear
Pengamanan Data Arsip Pada Balai Desa Sidodadi Menggunakan Kriptografi Modern RC4 Khairul Fahmi
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 2 No. 2 (2021): RESOLUSI November 2021
Publisher : STMIK Budi Darma

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Abstract

The issue of data security and confidentiality is very important at the Village Hall. The Village Hall has many confidential documents such as population data and other data. Confidential documents or data should not be known by outside parties because they can cause harm to village officials and government. To secure the data, the RC4 algorithm is used. The RC4 algorithm was chosen because the processing time is faster than other algorithms. The RC4 algorithm uses two Substitution Boxes (S-Box), namely an array of 256 lengths containing permutations from 0 to 255, and the second S-Box containing permutations is a function of a variable length key.Cryptography
Implementasi Data Mining Dengan Metode FP-Growth Terhadap Data Penjualan Barang Sebagai Strategi Penjualan Pada CV. A & A Copier Anandi Ayu; Agus Perdana Windarto; Dedi Suhendro
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 2 No. 2 (2021): RESOLUSI November 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

If the seller wants to increase sales, the diversity of consumers will undoubtedly be an impediment in selecting the product to be purchased. Another issue is that vendors/decision makers struggle to select products to be re-marketed in accordance with the diversity of consumers. It is necessary to process sales data in the form of goods transactions in order to generate useful information that can be used to determine the best strategy for increasing sales. The study's goal is to analyze the FP-Growth algorithm on data sales of goods in order to make recommendations in providing sales packages for consumers as a sales strategy at CV. A & A. Data sources gathered through direct observations and interviews with the CV. A & A Copier Pematangsiantar Store. The FP-Growth algorithm is employed. RapidMiner software is used in the analysis process. 5 rules were generated from 50 transaction data records using the Market Basket Analysis application on FP-Growth on data on sales of goods, with a minimum support value of 0.4 (40 percent) and confidence of 0.95 (95 percent ). It is hoped that the research findings will provide benefits in the form of information that will assist sellers (the Stores) in selecting the best product marketing strategy to increase sales..

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