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All Journal Journal Of Artificial Intelligence And Software Engineering
Azzahari, Muhammad
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Computer Science & IT

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Implementation SEO and SEM to Enhance Brand Awareness and Consumer Loyalty Rozaliana, Rozaliana; Azzahari, Muhammad; Khaldun, Ibnu
Journal of Artificial Intelligence and Software Engineering Vol 5, No 1 (2025): March
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i1.6646

Abstract

The development of digital technology has changed the way micro, small, and medium enterprises (MSMEs) market their products and build relationships with consumers. Digital marketing is one of the main strategies in increasing brand awareness and consumer loyalty. This study aims to analyze the effectiveness of digital marketing strategies in increasing brand awareness and consumer loyalty. The research methods used are literature studies and surveys of consumers who actively use digital platforms to interact with brands. The results of the study show that effective digital marketing strategies, such as the use of social media, content-based marketing, and service personalization, can increase brand awareness and build strong loyalty in consumers. By utilizing Search Engine Optimization (SEO),    Search Engine Marketing (SEM), and influencer marketing techniques, MSMEs can reach target markets more widely and effectively. These findings underline the importance of the role of digital marketing in the era of digital transformation that continues to grow. Therefore, an integrated and sustainable digital marketing strategy is needed to increase the company's competitiveness and maintain customer loyalty.
Server Worker Power Optimization with Virtual Machine Live Migration Technique Using Fuzzy Mamdani Azzahari, Muhammad; Khaldun, Ibnu; Mahmud, Mahmud; Rozaliana, Rozaliana
Journal of Artificial Intelligence and Software Engineering Vol 5, No 2 (2025): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i2.7310

Abstract

This study focuses on power optimization of worker servers by applying live migration techniques for virtual machines (VMs) using the Mamdani fuzzy logic method. The main goal is to automatically move VMs to servers with lower CPU usage, thereby reducing overall power consumption. The system was built using the Proxmox VE platform and simulated for 30 minutes under two conditions: without and with Mamdani fuzzy logic. The results show that the use of fuzzy Mamdani reduces power consumption by 0.26 watts compared to the non-migration system. Although the savings may seem minor, the method is effective when applied at a larger data center scale. This technique enables efficient workload distribution by migrating VMs, allowing idle servers to reduce energy usage. In conclusion, Mamdani fuzzy logic offers a practical solution for energy-saving in cloud computing environments without compromising system performance.
Analisis Konsumsi Daya Server Worker Dengan VM Live Migration Berbasis Proxmox Azzahari, Muhammad; Khaldun, Ibnu
Journal of Artificial Intelligence and Software Engineering Vol 4, No 1 (2024)
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v4i1.5403

Abstract

Live migration merupakan suatu teknik migrasi yang memindahkan server virtual machine (VM) ke server worker yang rendah CPU usage nya. Teknik migrasi ini dilakukan dengan memanfaatkan metode fuzzy mamdani sebagai pengambil keputusan berdasarkan hasil monitoring CPU usage pada masing-masing server worker. Pada setiap server worker akan ditentukan nilai batas (Threshold) yang berfungsi sebagai acuan kapan server vm akan bermigrasi ke server worker yang mengalami rendah CPU usage. Hasil pengujian yang dilakukan selama 30 menit menunjukkan bahwa teknik live migration VM dapat mengurangi konsumsi daya sebesar 0,26 Watt dibandingkan dengan tanpa teknik tersebut. Dengan demikian optimasi daya bisa terjadi jika proses migrasi server VM terlaksana dari server worker host asal ke server worker host tujuan sehingga server worker asal nantinya akan mengalami penurunan konsumsi daya atau mengalami dengan serendah-rendahnya konsumsi daya (idle).AbstractLive migration is a migration technique that moves a virtual machine (VM) server to a server worker with low CPU usage. This migration technique is carried out by utilizing the fuzzy mamdani method as a decision maker based on the results of monitoring CPU usage on each worker server. On each worker server, a threshold value will be determined which serves as a reference for when the VM server will migrate to a worker server that experiences low CPU usage. The results of tests carried out for 30 minutes show that the VM live migration technique can reduce power consumption by 0.26 Watts compared to without this technique. Thus, power optimization can occur if the VM server migration process is carried out from the original worker host server to the destination worker host server so that the original worker server will experience a decrease in power consumption or experience the lowest possible power consumption (idle).
Co-Authors Ibnu Khaldun Mahmud Rozaliana Rozaliana