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Journal : KOMPUTEK

Analisis Pemanfaataan Webqual 4.0 Dan Customer Satisfaction Index (CSI) Dalam Menilai Kualitas Website Terhadap Kepuasan Pelanggan Pada Aplikasi Tokopedia Fikri, Muhammad; Herawati, Sri; Negara, Yudha Dwi Putra
KOMPUTEK Vol 8, No 2 (2024): Oktober
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/jkt.v8i2.3033

Abstract

Tokopedia's website is declining because customers complain about Tokopedia's service quality. The improvement of website services aims to increase the ranking and user satisfaction of the Tokopedia website has not yet achieved optimal results. With this, research was conducted to analyse the use of Webqual 4.0 and Customer Satisfaction Index (CSI) in assessing the quality of the website on customer satisfaction on the Tokopedia application. From the results of the Validity Test of the level of importance and satisfaction, the r table which has a significance level of 0.05 with respondents as many as 100 people is 0.1966. The results of the calculated r value r table value as a result the entire attribute is valid and can be used in research and the results of the Reliability Test of interests and satisfaction are worth Cronbach's Alpha 0.6 (Reliable requirement value), as a result the questionnaire can be declared Reliable. From the results of the CSI calculation, a value of 80.4% was obtained. The CSI value obtained lies in the 66% - 80.99% index with the description "satisfied". With this it is concluded that overall customers are satisfied with the quality of the website on the tokopedia application.
Analisis Pemanfaataan Webqual 4.0 Dan Customer Satisfaction Index (CSI) Dalam Menilai Kualitas Website Terhadap Kepuasan Pelanggan Pada Aplikasi Tokopedia Fikri, Muhammad; Herawati, Sri; Negara, Yudha Dwi Putra
KOMPUTEK Vol. 8 No. 2 (2024): Oktober
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/jkt.v8i2.3033

Abstract

Tokopedia's website is declining because customers complain about Tokopedia's service quality. The improvement of website services aims to increase the ranking and user satisfaction of the Tokopedia website has not yet achieved optimal results. With this, research was conducted to analyse the use of Webqual 4.0 and Customer Satisfaction Index (CSI) in assessing the quality of the website on customer satisfaction on the Tokopedia application. From the results of the Validity Test of the level of importance and satisfaction, the r table which has a significance level of 0.05 with respondents as many as 100 people is 0.1966. The results of the calculated r value > r table value as a result the entire attribute is valid and can be used in research and the results of the Reliability Test of interests and satisfaction are worth Cronbach's Alpha> 0.6 (Reliable requirement value), as a result the questionnaire can be declared Reliable. From the results of the CSI calculation, a value of 80.4% was obtained. The CSI value obtained lies in the 66% - 80.99% index with the description "satisfied". With this it is concluded that overall customers are satisfied with the quality of the website on the tokopedia application.
Peramalan Harga Saham PT Bank Central Asia Tbk (BBCA) Menggunakan Metode SARIMA Periode 2019-2024 Nuha, Alvin Vikrun; Herawati, Sri
KOMPUTEK Vol. 9 No. 1 (2025): April
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/jkt.v9i1.3056

Abstract

The Indonesian capital market has shown significant development with the number of investors reaching 10.32 million SID as of December 2023. However, stock investment still faces challenges in the form of unpredictable price fluctuations. This study aims to forecast the stock price of PT Bank Central Asia Tbk (BBCA) using the SARIMA method for the 2019-2024 period. The data used is sourced from Yahoo Finance spanning from January 2019 to January 2024. The analysis results show that the SARIMA model ((1,0,0),(0,0,0,12)) can be used to forecast BBCA stock prices. Based on the forecasting results for the next 30 days, BBCA's stock price shows an upward trend. This study also indicates that stock price movements are not only influenced by time factors but also other factors, so it is recommended for future research to use Multivariate Time Series analysis.