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All Journal Jurnal Komputer Terapan Jurnal Ekonomi
Haifa Salsabila
Telkom University
Computer Science & IT Economics, Econometrics & Finance Social Sciences

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Prediksi Harga Bitcoin Menggunakan Metode Random Forest : (Studi Kasus: Data Acak Pada Masa Pandemic Covid-19) Siti Saadah; Haifa Salsabila
Jurnal Komputer Terapan  Vol. 7 No. 1 (2021): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (439.575 KB) | DOI: 10.35143/jkt.v7i1.4618

Abstract

During this pandemic, virtual financial transactions increased sharply. Because the storage of assets and forms of buying and selling transformed using digital services. Bitcoin as one of the cryptocurrencies that is currently widely used and in demand by the people of the world, but there is no specialized financial institution responsible for bitcoin buying and selling transactions, requires a bitcoin price prediction system to know the status of the value of bitcoin. Referring to the ever-fluctuating characteristics of bitcoin data, the Random Forest Regression method is used to predict the price of bitcoin. This algorithm is one of the modeling that can produce good performance in terms of prediction. Using Random Forest Regression modeling, MAPE value was obtained by 1.50% with accuracy of 98.50%. That value is the value that produces the best performance among all bitcoin prediction attempts.
EFFECT PRICE, LOCATION, SERVICE, AND STORE ATMOSPHERE ON PURCHASE DECISIONS AT COFFE SHOP HALUNA KOFFIE Haifa Salsabila; Putu Nina Madiawati
Jurnal Ekonomi Vol. 12 No. 02 (2023): Jurnal Ekonomi, Perode April - Juni 2023
Publisher : SEAN Institute

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Abstract

Haluna Koffie is one of the cafes located on Jl. Shutter No. 3 Bandung with a homie feel. Based on the level of consumption in Indonesia, it always increases every year, namely 249 thousand people in 2016 to 369 thousand people in 2021. Throughout 2021 there were fluctuations in sales decline of 48.2%. This phenomenon makes business people have to be able to create something different and are required to innovate in attracting consumers faster amid the increasingly fierce competition in the coffee shop business. This study aims to determine how much influence price, location, service, and store atmosphere have on purchasing decisions at HALUNA Koffie. The method used in this research is a quantitative method with descriptive and causal research types. This study used a sample of 100 respondents and data collection using a questionnaire method. The data analysis used is multiple linear regression. Based on the results of the study using descriptive analysis with the help of SPSS 25, it shows that price has a very good value with a score of 87.7%, location has a very good value with a score of 85.8%. service has a very good score of 89.6%, store atmosphere has a very good score with a score of 88.6%, and purchasing decisions have a very good score with a score of 88.2%. which simultaneously has a positive and significant effect on purchasing decisions
Co-Authors Putu Nina Madiawati Siti Saadah