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All Journal Georafflesia : Artikel Ilmiah Pendidikan Geografi International Journal of Health, Economics, and Social Sciences (IJHESS) Indo-Fintech Intellectuals: Journal of Economics and Business
Nina Dwi Putriani
Unknown Affiliation
Humanities Earth & Planetary Sciences Economics, Econometrics & Finance Environmental Science Public Health Social Sciences

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Analisis Penggunaan AI dalam Keberhasilan Customer Experience Pengguna Aplikasi E-Commerce Shopee Zikry, Arief; Muhammad Bitrayoga; Siska Yulia Defitri; Akhmad Dahlan; Nina Dwi Putriani
Indo-Fintech Intellectuals: Journal of Economics and Business Vol. 4 No. 3 (2024): Indo-Fintech Intellectuals: Journal of Economics and Business
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/ifijeb.v4i3.1387

Abstract

E-commerce has experienced rapid growth with the adoption of digital technology particularly in Southeast Asia. AI enables Shopee to provide personalized product recommendations, responsive customer service, and secure shopping experiences. This study analyzes the use of Artificial Intelligence (AI) technology in enhancing user experience on the Shopee e-commerce platform. The research employs a mixed-method approach involving 400 Shopee users in Indonesia. Product recommendation and user experience personalization both significantly increase user satisfaction. User experience personalization has a greater influence than product recommendations in increasing user satisfaction. The implications of this study suggest that AI not only enhances Shopee's operational efficiency but also strengthens customer satisfaction and loyalty, making it a key element in maintaining competitiveness in today's competitive e-commerce industry
The Effect of Company Policy on Employee Compliance with the Implementation of AI to Maintain Company Data Security Evan Haviana; Nina Dwi Putriani; Putri Wahyu Novika; Arko Pujadi; Nurlaila Syarfiah Asfo
International Journal of Health, Economics, and Social Sciences (IJHESS) Vol. 7 No. 1: January 2025
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/ijhess.v7i1.7039

Abstract

The rapid advancement of artificial intelligence (AI) in corporate data security presents both opportunities and challenges, particularly in ensuring employee compliance with security policies. This study aims to analyze the influence of corporate policies on employee adherence to AI-driven data security measures, focusing on how well-implemented policies can enhance awareness and compliance. Using a quantitative survey approach, data were collected from 200 employees working in companies that integrate AI into their security systems. Multiple linear regression analysis was employed to examine the relationship between corporate policies and employee compliance, with employee perceptions of AI serving as a moderating variable. The findings reveal that clear policies and comprehensive training programs have a significant positive impact on employee compliance with data security regulations. Furthermore, employee perceptions of AI moderate this relationship, indicating that those with a more positive understanding of AI are more likely to comply with established security policies. The study concludes that AI implementation for data security must be supported by strong corporate policies, effective training systems, and clear communication between management and employees. Companies must ensure that AI adoption not only strengthens data security but also addresses ethical and privacy concerns to foster trust and compliance among employees.
Perubahan Tari Andun Suku Serawai di Desa Lawang Agung Kabupaten Seluma Kota Bengkulu Zairin; Dihamri; Reni Diah Lestari; Edwar; Muhammad Alfi; Nina Dwi Putriani
Jurnal Georafflesia : Artikel Ilmiah Pendidikan Geografi Vol 8 No 2 (2023)
Publisher : Universitas Prof. Dr. Hazairin, S.H

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32663/georaf.v8i2.4309

Abstract

Tujuan dilakukannya penelitian ini adalah untuk mengetahui perubahan tahapan tari Andun Suku Serawai di Desa Lawang Agung Kabupaten Seluma Kota Bengkulu. Informan dalam penelitian ini adalah ketua adat dan penari tari Andun Desa Lawang Agung. Pendekatan dan jenis penelitian yang digunakan dalam penelitian ini adalah deskriptif kualitatif. Teknik pengumpulan data dengan menggunakan wawancara, observasi, dan dokumentasi. Teknik analisis data dalam penelitian ini yaitu reduksi data, penyajian data, dan penarikan kesimpulan. Berdasarkan hasil penelitian didapatkan bahwa Tari Andun masuk ke Desa Lawang Agung pada saat masih menjadi bagian dari Desa Keban Agung hingga memisahkan diri di tahun 2004. Tari Andun terdiri tiga ragam gerak, yaitu gerak mbukak, gerak naup, dan gerak nyentang. Terdapat dua alat musik yang mengiringi para penari dalam menampilkan Tari Andun, yaitu kolintang dan rebana serta syair yang dibawakan oleh ketua adat. Busana penari yang dahulunya penari wanita mengenakan kebaya, kain, selendang, dan kerudung, sedangkan penari laki-laki mengenakan baju jas, celana panjang, dan memakai peci. Namun, saat ini penari laki-laki hanya menggunakan baju panjang dan kain sarung bisa menarikan Tari Andun.Durasi waktu pertunjukkan tari Andun dahulu tidak terbatas namun saat ini dibatasi hanya 7-10 menit waktu pertunjukkan. Hal-hal yang berubah pada penelitian ini yaitu terdapat pada perubahan gerakan ,yang terjadi yaitru grakannya tidak seperti  standar gerakan tari andun karena banyak penari yang saat ini menarikannya secara asal-asalan. Perubahan terdapat pula pada perubahan busana ,perubahan busana ini dikarenakan masukknya budaya dari luar sehingga busana yang digunakan berubah. Kesimpulan dalam penelitian ini menjelaskan bahwa tidak banyak perubahan yang terjadi pada tari Andun di Desa Lawang Agung.
Co-Authors Akhmad Dahlan Arief Zikry Arko Pujadi Dihamri EDWAR Evan Haviana Muhammad Alfi Muhammad Bitrayoga Nurlaila Syarfiah Asfo Putri Wahyu Novika Reni Diah Lestari Siska Yulia Defitri Zairin