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All Journal ProBisnis : Jurnal Manajemen Jurnal Minfo Polgan (JMP)
Yudi Limbar Yasik
Universitas Teknologi Bandung
Humanities Computer Science & IT Economics, Econometrics & Finance Industrial & Manufacturing Engineering Library & Information Science Mathematics Social Sciences

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Pengaruh Penggunaan Dompet Digital dan Customer Experience Terhadap Perilaku Konsumtif Pada Generasi Z Pengguna E-Wallet Dana Di Kota Bandung Yudi Limbar Yasik; Melsa Ulfie Wahyudianty; Muhammad Fauzan; Nur Arumi Azwa Rahadian; Muhammad Abizar Alghifari; Rina Indrayani
ProBisnis : Jurnal Manajemen Vol. 17 No. 03 (2026): June: Management Science
Publisher : Lembaga Riset, Publikasi dan Konsultasi JONHARIONO

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Abstract

Inovasi dalam dunia finansial telah memicu transformasi dalam perilaku belanja, terutama di kalangan generasi Z yang sangat familiar dengan dompet digital. Penelitian ini bertujuan untuk menganalisis hubungan dan pengaruh antara penggunaan dompet digital dan Customer Experience terhadap perilaku konsumtif generasi Z Pengguna (e-wallet) DANA di Kota Bandung. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei melalui penyebaran kuesioner kepada 100 responden. Data dianalisis melalui uji validitas, reliabilitas, normalitas, korelasi Pearson, regresi linier sederhana dan regresi linier berganda menggunakan bantuan perangkat lunak statistik. Hasil penelitian menunjukkan bahwa seluruh instrumen penelitian valid dan reliabel. Uji korelasi menunjukkan adanya hubungan yang sangat kuat dan signifikan antara dompet digital, Customer Experience, dan perilaku konsumtif (r > 0,90; p < 0,01). Analisis regresi menunjukkan bahwa baik secara parsial maupun simultan, penggunaan dompet digital DANA dan Customer Experience berpengaruh positif dan signifikan terhadap perilaku konsumtif. Model regresi memiliki nilai koefisien determinasi sebesar 92,2% yang menunjukkan kemampuan prediktif yang tinggi. Dari temuan ini dapat disimpulkan bahwa kemudahan akses dan pengalaman pengguna yang positif dalam penggunaan dompet digital secara signifikan mendorong perilaku konsumtif generasi Z. Penelitian ini memberikan kontribusi terhadap pemahaman perilaku konsumen digital serta menjadi acuan bagi pengembang aplikasi dan pelaku bisnis dalam merancang strategi pemasaran yang tepat sasaran.
Analysis of the Influence of Machine Learning on Sales Prediction and Stock Management in Online Business Muhamad Mutoffar; Yudi Limbar Yasik; Ridwan Ridwan; Narti Eka Putria
Jurnal Minfo Polgan Vol. 13 No. 2 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i2.14503

Abstract

Online businesses continue to experience rapid development along with digital transformation that drives efficiency and competitiveness. However, one of the main challenges faced is the uncertainty in predicting sales, which can cause an imbalance between demand and stock. The inaccuracy of this prediction often results in overstock or understock, thus increasing operational costs and decreasing customer satisfaction levels. This study aims to analyze the effect of implementing Machine Learning (ML) algorithms on the accuracy of sales predictions and the efficiency of stock management in online businesses. Historical sales data collected from e-commerce platforms were processed using Random Forest and Long Short-Term Memory (LSTM) algorithms. The results showed that the ML algorithm was able to increase the accuracy of sales predictions by up to 20% compared to traditional methods. In addition, the implementation of ML-based predictions allows for more efficient stock management with a decrease in the level of overstock by 15% and a reduction in the risk of understock by up to 25%. These findings not only strengthen the literature related to the role of intelligent technology in digital business management but also offer practical guidance for online business actors to improve their operations through Machine Learning technology. Thus, this study makes an important contribution to digital transformation strategies in a competitive online business ecosystem.
Co-Authors Melsa Ulfie Wahyudianty Muhamad Mutoffar Muhammad Abizar Alghifari Muhammad Fauzan Narti Eka Putria Nur Arumi Azwa Rahadian Ridwan Ridwan Rina Indrayani