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All Journal KLIK: Kajian Ilmiah Informatika dan Komputer Journal Strategy of Management and Accounting Through Research and Technology (SMART)
Yusra Fernando
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Computer Science & IT Economics, Econometrics & Finance

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PENGARUH SERVICE QUALITY TERHADAP KEPUASAN PELANGGAN PADA PRODUK PEMPEK PERMATA BANDAR LAMPUNG Erlan Kusuma Roza; Dian Novita; Yusra Fernando
Journal Strategy of Management and Accounting Through Research and Technology (SMART) Vol 1, No 1 (2021): Volume 1 No. 1 Desember 2021
Publisher : Journal Strategy of Management and Accounting Through Research and Technology (SMART)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (26.253 KB) | DOI: 10.33365/smart.v1i1.1069

Abstract

AbstractUMKM Pempek Permata Bandarlampung must be able to optimize its economic resources to increase competitiveness in the market and be able to formulate effective marketing strategies and always develop in a sustainable manner. Customer Satisfaction is influenced by Service Quality which must pay attention to five (5) indicators, namely Tangible, Reliability, Responsiveness, Assurance, and Empathy (Emphaty) so as to improve service quality in order to improve number of subscribers. The results showed that the five (5) indicator variables of Service Quality had a significant positive effect. This shows the Tangible indicator variable (Physical Evidence) 73%, Reliability 91%, Responsiveness (Response) 84%, Assurance (Guarantee) 60%, Empathy (Empathy) 76%, which means it can partially influence customer satisfaction. at Pempek Permata Bandarlampung. Keywords: Service Quality: Tangible, Reliability, Responsiveness, Assurance, Empathy, Customer Satisfaction AbstrakUMKM Pempek Permata Bandarlampung harus mampu mengoptimalkan sumber daya ekonominya guna meningkatkan daya saing di pasar serta mampu meramu strategi pemasaran yang efektif dan selalu mengembangkan secara berkelanjuta. Kepuasan Pelanggan dipengaruhi oleh Service Quality yang harus memperhatikan lima (5) indikator yaitu Bukti Fisik (Tangible), Kehandalan (Reliability), Daya Tanggap (Responsiveness), Jaminan (Assurance), dan Empati (Emphaty) sehingga meningkatkan meningkatkan kualitas pelayanan agar dapat meningkatkan jumlah pelanggan. Hasil penelitian menunjukan bahwa ke lima (5) variable indikator dari Service Quality  memiliki pengaruh positif signifikan. Hal ini menunjukan variabel indikator Tangible (Bukti Fisik) 73%, Reliability (Kehandalan) 91%, Responsiveness (Respon) 84%, Assurance (Jaminan) 60%, Empathy (Empati) 76%, yang berarti mampu mempengaruhi secara parsial terhadap kepuasan pelanggan di Pempek Permata Bandarlampung.Kata Kunci: Kualitas Pelayanan, Bukti fisik, Kehandalan, Respon, Jaminan, Empati, Kepuasan Pelanggan
Analisis Perbandingan Elastic Compute Service (ECS) Instance Alibaba Cloud Dengan Virtual Machine Azure Ria Hefiana; Yusra Fernando
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 4 (2024): Februari 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i4.1655

Abstract

Cloud Computing is a development of computer networks or the internet, where the cloud image itself is taken from computer networks that can be abstracted from hidden complex infrastructure. By seeing the rapid growth in the use of cloud computing in Indonesia, the author feels it is important to conduct this research to provide the public with a better understanding regarding the choice of cloud platform that suits their needs.A comparative study of ECS Alibaba Cloud and Azure Virtual Machine was conducted to understand the differences between these two platforms. Seeing the many cloud users now in Indonesia, the author wants to do a comparative study between ECS Alibaba Cloud and Azure Virtual Machine. This research will consider Thread (users), Ramp-Up (Second), Loop Count and produce parameters Throughput, Latency, Simple Time/Response Time and look at Resource Utilization, CPU Utilization, Memory Utilization, Disk Utilization. Based on the test results between ECS Alibaba Cloud and Azure Virtual Machine, several conclusions were drawn, namely, the average Througput parameter results on Azure were 10,173/mbps and ECS 6,373/mbps. The results of the Sample Response Time parameter in Azure get a value of 16038/ms and ECS 22471.13/ms. The Latency Parameter results in Azure get a value of 14971.33/ms and ECS 19545.4/ms. Meanwhile the utilization results get an average value of Resource 2min 29sec, CPU 50.80%, Memory 35.05% and Disk 16.22% while for Alibaba Cloud ECS Utilization it gets an average value of Resource 2min 50 sec, CPU 57.85%, Memory 39.64% and Disk 12.28 %.
Co-Authors Dian Novita Erlan Kusuma Roza Ria Hefiana