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Menampilkan 1–2 dari 2 artikel
Prediksi Stok Tanaman Hidroponik dengan Artificial Intelligence: Ensemble Learning dengan Optimasi Evolusioner
Putu Bagus Adidyana Anugrah Putra
; Septian Geges
; Oktaviani Enjela Putri
; I Made Bayu Artha Pratama
Jurnal Elektronika dan Komputer
Vol 17
, No 2
(2024)
Hydroponic plant cultivation is booming, but stock and sales are hard to predict. Poor prediction can cause farmers to overstock and lose money. This study suggests a framework that uses several machine learning models, including Linear Regression (LR), Random Forest (RF), Decision Tree (DT), and Extreme Gradient Boosting. "Ensemble Learning," which combines these models, should yield more accurate and generalizable results than a single model. This framework is assessed using historical hydropo...
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How to Build Loyalty: The Role of Customer Satisfaction Gopay E-Wallet
Fokus Ekonomi : Jurnal Ilmiah Ekonomi
Vol 17
, No 2
(2022)
The purpose of this research is to test and analyze the influence of experience and digital services quality to the satisfaction and its impact on customer loyalty of e-wallet Gopay di Semarang. A total sample of 110 respondents, the sampling technique used in this research is purposive sampling, purposive indicates that the data are taken from a specific target. The findings revealed that customer satisfaction is positively influenced by experience and digital service quality; customer loyalty...
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