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All Journal Journal on Education Journal of Dinda : Data Science, Information Technology, and Data Analytics
Septia Ona Sutra
Universitas Islam Negeri Sumatera Utara
Computer Science & IT Education

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Pemanfaatan Kriptografi dalam Mewujudkan Keamanan Informasi pada E-Voting di Kota Medan dengan Menggunakan Algoritma AES Mhd. Aria Agung Widodo; Myra Thasandra; Septia Ona Sutra; Adnan Buyung Nasution; Ali Ikhwan
Journal on Education Vol 5 No 3 (2023): Journal on Education: Volume 5 Nomor 3 Tahun 2023
Publisher : Departement of Mathematics Education

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Abstract

Electronic “voting or e-voting is a form of voting that is usually used for elections or polls using electronic media. There is a shift in the use of media that used to be conventional and in the current technological era, there are many various media used for opinion polls, including social media/internet. In the next few years, through the USO (Universal Service Obligation) program, the government will provide voice and data communication access facilities to reach all villages in the country so that e-Voting is increasingly likely to be implemented. The E-Voting system is one way to help solve this problem. The security of the E-Voting system is guaranteed and in accordance with current technological developments. The system can be combined with various cryptographic algorithms to increase security, one of which is the AES cryptographic algorithm. Cryptography can be used to answer questions related to information security in the form of confidentiality, non-denial, and authentication. In this journal, it will be explained how to use cryptography in realizing information security in e-Voting in Medan City Using the AES Algorithm Method”.
Sandal Product Inventory Prediction System Using Apriori Algorithm on Web-Based Home Industry Dlioshoes Septia Ona Sutra; Triase Triase
Indonesian Journal of Data Science, IoT, Machine Learning and Informatics Vol 5 No 1 (2025): February
Publisher : Research Group of Data Engineering, Faculty of Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/dinda.v5i1.1783

Abstract

Sales of sandal products at Home Industry Dlioshoes are often faced with the problem of insufficient product inventory. This research aims to build a web-based sales information system by applying the Apriori algorithm to analyze purchasing patterns and predict product inventory needs. By utilizing sales transaction data, this system can identify product combinations that distributors often buy together. By implementing the Apriori Algorithm, it can help industry owners in making decisions regarding product inventory and can predict sales in the next period, thereby reducing the risk of product excess or shortage. The research results show that the types or models of sandals that are most popular with distributors are Heels, Flat Shoes, Mules, Ballet Shoes, High Heels, Ankle Strap and Pumps. With the highest Support value of 42% and Confidence value of 71.18%.
Co-Authors Adnan Buyung Nasution Ali Ikhwan Mhd. Aria Agung Widodo Myra Thasandra Triase Triase