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All Journal Journal of Economic, Bussines and Accounting (COSTING) Journal of Computer Networks, Architecture and High Performance Computing
Darwin Darwin
Universitas Prima Indonesia
Computer Science & IT Economics, Econometrics & Finance Education

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Comparison of Decision Tree and Linear Regression Algorithms in the Case of Spread Prediction of COVID-19 in Indonesia Darwin Darwin; Dwiky Christian; Wilson Chandra; Marlince Nababan
Journal of Computer Networks, Architecture and High Performance Computing Vol. 4 No. 1 (2022): Article Research Volume 4 Number 1, Januay 2022
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v4i1.1234

Abstract

COVID-19 is a disease that was first discovered in Wuhan, China and caused the 2019-2020 coronavirus pandemic. This virus can cause respiratory tract infections such as flu when infecting humans. According to Ministry of Health of the Republic of Indonesia, the number of confirmed cases of COVID-19 in Indonesia at March 2021 is 1,511,712 with 40,858 deaths and 1,348,330 recovered. For that, Indonesia is declared to have the highest confirmed cases in ASEAN. Several studies have been carried out to handle some cases by using the data mining techniques such as Decision Tree or Linear Regression algorithm, as example to classify the respiratory diseases and predict pregnancy hypertension. In this study, we tried to analyze COVID-19 cases in Indonesia and conducted an experiment of predicting COVID-19 new cases with the Decision Tree (CART) and Linear Regression algorithms. Then we will compare the values of these two algorithms by using R2 Score to evaluate the prediction performance. The results of this analysis state that DKI Jakarta province has the highest number of positive cases, cures and deaths in Indonesia. The value of the comparison results from the R2 Score obtained in the Decision Tree algorithm reached 95.69% (training) and 92.15% (testing) while the Linear Regression algorithm reached 79.93% (training) and 77.25% (testing).
ANALISIS PENGARUH KUALITAS PELAYANAN DAN KUALITAS PRODUK TERHADAP KEPUASAN KONSUMEN BERBELANJA DI BRASTAGI SUPERMARKET Dede Ansyari Guci; Alric Alric; Darwin Darwin; Puspa Liza Ghazali
Journal of Economic, Bussines and Accounting (COSTING) Vol 7 No 5 (2024): Journal of Economic, Bussines and Accounting (COSTING)
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/costing.v7i5.8862

Abstract

Brastagi Supermarket is located in the heart of Medan and many consumers come to shop at this supermarket. The purpose of this study was to determine and examine the effect of service quality and product quality on customer satisfaction when shopping at Brastagi Supermarket. This research uses a quantitative approach. The type of research used is quantitative, the sampling technique for Brastagi Supermarket and Slovin amounted to 225 consumers and the sample of this study amounted to 144. The model used is multiple linear regression. The result is that service quality affects customer satisfaction at Brastagi Supermarket, product quality affects customer satisfaction at Brastagi Supermarket. Service quality and product quality affect customer satisfaction at Brastagi Supermarket.
Co-Authors Alric Alric Dede Ansyari Guci Dwiky Christian Marlince NK Nababan Puspa Liza Ghazali Wilson Chandra