Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal eProceedings of Engineering AQILA : Acceleration, Quantum, Information Technology and Algorithm Journal
Zahran, Muhammad Hanif
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Perancangan Backend dan Website Setanam Menggunakan Metode Extreme Programming Zahran, Muhammad Hanif; Anshary, Faishal Mufied Al; Adi, Taufik Nur
eProceedings of Engineering Vol. 10 No. 3 (2023): Juni 2023
Publisher : eProceedings of Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstrak-Di masa sekarang kepopuleran tanaman hias masih terus bertahan. Setiap tahunnya selalu ada jenis tanaman hias viral yang banyak menyita perhatian masyarakat. Namun selama pandemi melanda, banyak orang cenderung untuk sering melakukan aktivitasnya berada di dalam rumah. Hal inilah yang membuat beberapa orang bosan dan mencari hobi atau aktivitas baru. Salah satu yang cukup digandrungi adalah memelihara tanaman hias. Oleh karena itu, penulis menggunakan metode Extreme Programming sebagai pengembangan dari website peminjaman tanaman hias. Alasan pemilihan metode Extreme Programming adalah dikarenakan proyek dari tugas akhir ini memiliki ukuran proyek yang tergolong kecil dan dikerjakan dengan cakupan kelompok yang kecil juga, mulai dari 2 sampai 10 anggota kelompok. Dari hasil penelitian yang telah penulis lakukan, beberapa kendala yang dialami oleh pemilik tanaman adalah tidak memiliki wadah untuk menjadikan tanaman hias sebagai tempat berbisnis, dan beberapa dari event organizer membutuhkan penyewaan tanaman hias agar mengurangi jumlah penggunaan dana. Oleh karena itu penulis dan tim mengembangkan website rental tanaman hias yaitu SeTanam. Kata kunci- extreme programming, backend
Personalization in Customer Relationship Management : Balancing Data Privacy and Customer Experience Zahran, Muhammad Hanif; Mikhail, Muhammad Hibban; Lubis, Muharman
Acceleration, Quantum, Information Technology and Algorithm Journal Vol. 2 No. 2 (2025): VOLUME 2, NO 2: DECEMBER 2025
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/aqila.v2i2.73

Abstract

Personalization through Customer Relationship Management (CRM) systems has become an essential way for organizations to improve customer experiences and strengthen loyalty. However, in order to create individualized interactions, a lot of customer data must be gathered and processed, which inevitably creates privacy concerns. This study seeks to explore how organizations can strike a healthy balance between personalization and data privacy, and how this balance shapes the overall customer experience. This study uses a literature review as its main method to better understand customer attitudes, desires, and concerns about data privacy and tailored services by consulting a variety of scientific sources and earlier research. This study aims to identify the key factors that shape customers’ perspectives on personalization and the protection of their personal data. The insights gained are intended to support organizations in designing CRM strategies that are effective and engaging, while also demonstrating a clear commitment to respecting customer privacy helping create a customer experience that feels more trusted, meaningful, and sustainable.
Co-Authors Anshary, Faishal Mufied Al Mikhail, Muhammad Hibban Muharman Lubis Taufik Nur Adi