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All Journal RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI E-JRM
Randi Fadillah
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance

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Perbandingan Abnormal Return Saham Sebelum Dan Sesudah Perubahan Waktu Perdagangan Selama Pandemi Covid-19 Randi Fadillah; Muhammad Mansur; Budi Wahono
E-JRM : Elektronik Jurnal Riset Manajemen eJrm Vol. 10 No. 03 Februari 2021
Publisher : UNIVERSITAS ISLAM MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (946.216 KB)

Abstract

AbstractThe purpose of this research is To find out the difference in the average Abnormal Return of stocks before and after the announcement of the Covid-19 pandemic. The variables used in this study were Abnormal Return and the announcement of the Covid-19 pandemic. The data analysis technique used in this research is the Parametric t-test and the non-parametric t-test. The population and sample in this study are companies listed on the LQ-45 index as a whole. The results state that there is a difference in Abnormal Return between before and at the time of the announcement of the Covid-19 pandemic, that there is a difference in Abnormal Return during and after the announcement of the Covid-19 pandemic and there is a significant difference in Abnormal Return before and after the Covid-19 pandemic. Keywords: Covid-19, Pandemic, Abnormal Return, Capital Market, Stocks, LQ-45 Index, Composite Stock Price Index, Companies, Indonesia Stock Exchange.
Analisa Kepuasan Pelanggan Terhadap Layanan Aplikasi E-Commerce Menggunakan Algoritma C4.5 Eko Setia Budi; Abdul Rahman Kadafi; Yasdi Kharismawan; Randi Fadillah; Desy Sasqia Putri
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 4 No. 6 (2024): RESOLUSI July 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v4i6.1960

Abstract

Customer satisfaction is one of the key factors that greatly influences loyalty and business sustainability of an e-commerce application. This research focuses on analyzing the level of customer satisfaction with e-commerce services using the C4.5 algorithm. This research aims to identify key factors that influence customer satisfaction and provide recommendations that can help e-commerce companies improve the quality of their services. Customer satisfaction data is collected through surveys that cover various attributes such as product quality, delivery speed and customer service responsiveness. The analysis results show that the product delivery attribute is the factor that most influences customer satisfaction, with a gain value of 0.337981562. The resulting model has an accuracy of 93%, showing good ability in predicting customer satisfaction. These findings are expected to provide practical insights for e-commerce companies in their efforts to increase customer satisfaction and loyalty.
Co-Authors Abdul Rahman Kadafi Desy Sasqia Putri Eko Setia Budi Muhammad Mansur Yasdi Kharismawan