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All Journal Al-MIKRAJ: Jurnal studi Islam dan Humaniora Jurnal Sistem Informasi Dan E-Bisnis
Yuliansyah, Chandra
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Mengoptimalkan Penjualan Online Melalui Teknik Data Mining (Studi Kasus E-Commerce) Apriana, Diwi; Yuliansyah, Chandra
AL-MIKRAJ Jurnal Studi Islam dan Humaniora (E-ISSN 2745-4584) Vol 4 No 02 (2024): Al-Mikraj, Jurnal Studi Islam dan Humaniora
Publisher : Pascasarjana Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/almikraj.v4i02.4774

Abstract

The aim of this research is to optimize online sales through data mining techniques (e-commerce case study). This type of research is a literature review. Data collection with documentation. Data analysis with SLR. Research result. Research results The use of data mining techniques in optimizing online sales, especially in the context of e-commerce, can provide significant benefits for companies. By analyzing purchasing patterns and consumer behavior using data mining algorithms, companies can identify customer trends and preferences, improve promotional targeting, and optimize marketing strategies. This not only improves operational efficiency, but also results in a significant increase in sales. Thus, the integration of data mining techniques becomes a necessity for e-commerce companies that want to remain competitive and successful in an increasingly competitive market
Mengoptimalkan Penjualan Online Melalui Teknik Data Mining (Studi Kasus E-Commerce) Apriana, Diwi; Yuliansyah, Chandra
AL-MIKRAJ Jurnal Studi Islam dan Humaniora Vol. 4 No. 02 (2024): Al-Mikraj, Jurnal Studi Islam dan Humaniora
Publisher : Pascasarjana Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/almikraj.v4i02.4774

Abstract

The aim of this research is to optimize online sales through data mining techniques (e-commerce case study). This type of research is a literature review. Data collection with documentation. Data analysis with SLR. Research result. Research results The use of data mining techniques in optimizing online sales, especially in the context of e-commerce, can provide significant benefits for companies. By analyzing purchasing patterns and consumer behavior using data mining algorithms, companies can identify customer trends and preferences, improve promotional targeting, and optimize marketing strategies. This not only improves operational efficiency, but also results in a significant increase in sales. Thus, the integration of data mining techniques becomes a necessity for e-commerce companies that want to remain competitive and successful in an increasingly competitive market
Implementasi Adguard Home Berbasis Kontainer Pada Mikrotik Routeros Untuk Monitoring Dan Keamanan Jaringan Andini, Lia; Yuliansyah, Chandra
Jurnal Sistem Informasi dan E-Bisnis Vol 8 No 1 (2026): Januari
Publisher : LPPMPP Yayasan Sejahtera Bersama Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54650/jusibi.v8i1.651

Abstract

Monitoring jaringan merupakan kebutuhan krusial dalam pengelolaan infrastruktur teknologi informasi modern seiring meningkatnya kompleksitas lalu lintas data dan ancaman keamanan siber. Penelitian ini bertujuan untuk mengimplementasikan dan menganalisis efektivitas AdGuard Home sebagai sistem monitoring jaringan berbasis DNS yang dijalankan pada kontainer MikroTik RouterOS. Metode penelitian menggunakan pendekatan kuantitatif dengan desain eksperimental melalui pengujian performa, efektivitas pemblokiran DNS, serta analisis pemanfaatan sumber daya sistem. Hasil penelitian menunjukkan bahwa AdGuard Home mampu mendeteksi dan memblokir hingga 97,5% domain berbahaya dengan response time rata-rata 35 ms dan throughput mencapai 12.000 query per second. Overhead kontainerisasi relatif kecil dan tidak mengganggu fungsi inti router. Penelitian ini menyimpulkan bahwa integrasi AdGuard Home pada kontainer MikroTik efektif sebagai solusi monitoring jaringan yang cost-effective, scalable, dan aman.
Co-Authors Andini, Lia Apriana, Diwi