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All Journal Business Preneur : Jurnal Ilmu Administrasi Bisnis Jurnal Manajemen Riset Inovasi Solusi Bersama : Jurnal Pengabdian Dan Kesejahteraan Masyarakat
Nadia Rizky Vindiazhari
Unknown Affiliation
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Law, Crime, Criminology & Criminal Justice

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PENGARUH PENGGUNAAN KEY OPINION LEADER TASYA FARASYA TERHADAP MINAT BELI PRODUK KECANTIKAN GENERASI Z DI WILAYAH KOTA BANDUNG Nadia Rizky Vindiazhari
Business Preneur: Jurnal Ilmu Administrasi Bisnis Vol. 6 No. 1 (2024): Vol. 6 No. 1 Maret 2024
Publisher : Program Studi Ilmu Administrasi Bisnis FISIP UNPAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/bp.v6i1.12665

Abstract

Key Opinion Leader (KOL), Tasya Farasya, is becoming an important strategy in influencing the purchasing decision of the beauty products industry for Generation Z in the Bandung City Area. Through the regression test method, it produced an R Square of 74.3%, which indicates that around 74.3% of the influence of KOL Tasya Farasya on buying interest of Generation Z beauty products in the Bandung City Area. Keywords: Key Opinion Leadr (KOL), Buying Interest, Generation Z
Pelatihan Literasi Digital Lembaga Untuk Lanjut Usia Indonesia (LLI) Kota Bandung Roni Mulyana; Hendri Pramadya; Nadia Rizky Vindiazhari
Solusi Bersama : Jurnal Pengabdian dan Kesejahteraan Masyarakat Vol. 1 No. 2 (2024): Mei : Solusi Bersama : Jurnal Pengabdian dan Kesejahteraan Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/solusibersama.v1i2.147

Abstract

The development of information and communication technology has caused the trend of internet use in Indonesia to experience a significant increase. However, the increase in internet use is not accompanied by control over the negative impacts it causes, such as an increase in digital fraud, and the inability to differentiate between information and fake news (Hoax). Hoax is information created by an individual or someone containing false information or the truth cannot be checked. Hoaxes have an impact that can be detrimental to individuals and society. The elderly are one of the parties who are vulnerable to Hoaxes related to health information or digital fraud. Therefore, digital literacy training is needed. Therefore, ASMTB and Mafindo Bandung collaborates with Lembaga Lanjut Usia Indonesia (LLI) (the Bandung City Elderly Institute to organize) digital literacy learning for the elderly. Based on the results of PKM (University Community Service)observations, digital literacy training activities for the elderly are considered very useful for increasing knowledge, digital security awareness, and digital literacy skills for Bandung City LLI (Lembaga Lanjut Usia) members.
Modernisasi Perkantoran dan Perspektif Generasi Z terhadap Teknologi & Budaya Kerja Nadia Rizky Vindiazhari
Business Preneur: Jurnal Ilmu Administrasi Bisnis Vol. 8 No. 1 (2026): Vol. 8 No. 1 Maret 2026
Publisher : Program Studi Ilmu Administrasi Bisnis FISIP UNPAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/bp.v8i1.42495

Abstract

Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis secara sistematis berbagai literatur yang relevan mengenai modernisasi perkantoran dan perspektif generasi Z terhadap teknologi dan budaya kerja. Penelitian ini menggunakan pendekatan Systematic Literature Review (SLR) dengan metode pengumpulan data berupa penelusuran artikel ilmiah dari jurnal bereputasi nasional yang diterbitkan pada tahun 2023-2025. Sumber data yang dianalisis mencakup artikel dan laporan penelitian yang relevan. Hasil penelitian menunjukan modernisasi perkantoran dicirikan dengan dukungan teknologi pesat yang telah terbukti membantu otomatisasi berbagai tugas seperti alat komunikasi dan platform kolaborasi berbasis cloud telah memungkinkan tim bekerja sama secara real-time. Teknologi juga membawa perubahan budaya kerja di Indonesia bahwa generasi Z memaknai pekerjaan tidak hanya jumlah gaji namun fleksibilitas serta keseimbangan hidup
Perbandingan Model Machine Learning dalam Memprediksi Churn Pelanggan Telekomunikasi Santo Dewatmoko; Nadia Rizky Vindiazhari; Zaenal Muttaqien
Jurnal Manajemen Riset Inovasi Vol. 4 No. 2 (2026): Jurnal Manajemen Riset Inovasi
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/mri.v4i2.8976

Abstract

This study examines customer churn prediction in subscription-based telecommunications from a digital marketing perspective using machine learning. The analysis utilizes a secondary dataset of 7,043 customer records that simulate behavioral, contractual, and financial attributes commonly found in telecom services. Three classification algorithms Logistic Regression, Random Forest, and Gradient Boosting are applied to model churn behavior. Data preprocessing includes handling missing values, encoding categorical variables, and splitting data into training and testing sets. Model performance is evaluated using accuracy, recall, and ROC-AUC, with emphasis on recall due to its importance in identifying at-risk customers. The results show that Gradient Boosting achieves the highest overall performance with an ROC-AUC of 0.84, while Logistic Regression provides relatively higher recall. Key drivers of churn include short-term contracts, higher monthly charges, and lower service engagement. However, recall remains moderate, indicating limitations in capturing complex behavioral factors. These findings suggest the need to combine predictive models with behavioral insights and highlight the importance of early customer engagement and long-term retention strategies.
Co-Authors Hendri Pramadya Roni Mulyana Santo Dewatmoko Zaenal Muttaqien