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All Journal Journal Informatic, Education and Management (JIEM) Journal of Artificial Intelligence and Digital Business
Hastuti, Juria
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Other

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Data Security Analysis in Electronic Health Information Systems Adi Ahmad; Yusmanidar; Hastuti, Juria; Hijriatin, Maudi; Sarno
Journal Informatic, Education and Management (JIEM) Vol 7 No 1 (2025): FEBRUARY
Publisher : STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61992/jiem.v7i1.107

Abstract

This study aims to analyze data security in electronic health information systems (EHIS). With the increasing use of information technology in healthcare, data security issues are becoming increasingly important given the sensitivity of medical information. The research methodology involved an in-depth literature review as well as case study analysis on several hospitals that have implemented SIKE. Data analysis techniques included evaluation of system vulnerabilities, identification of potential threats, and assessment of data protection mechanisms in place. The results showed that despite various efforts to improve data security, there are still many vulnerabilities that can be exploited by irresponsible parties. The main threats include cyberattacks, data leakage, and unauthorized access. In addition, this study found that the implementation of security protocols such as data encryption, multi-factor authentication, and regular audits can significantly reduce these risks. However, this research has several limitations, including a limited sample of case studies that may not represent the entire SIKE landscape in Indonesia and limited access to internal hospital data. Nonetheless, this research makes a significant contribution in providing practical recommendations for SIKE managers to improve data security, as well as a basis for further research in this area.
Digital Business Model Development Strategy in the Era of Digital Transformation: A Case Study on Technology Startups Ardiansyah; Hastuti, Juria; Yusmanidar; Sarno
Journal Informatic, Education and Management (JIEM) Vol 7 No 1 (2025): FEBRUARY
Publisher : STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61992/jiem.v7i1.109

Abstract

Digital transformation has significantly changed the business landscape, encouraging technology startups to adapt innovative and sustainable business model development strategies. This research aims to identify and analyze digital business model development strategies implemented by technology startups in the face of digital transformation dynamics. A qualitative approach is used in this research with a case study method on several technology startups in Indonesia. Data were collected through in-depth interviews with startup founders and managers, as well as document analysis and direct observation. The results show that there are three main strategies in developing digital business models, namely: (1) the application of artificial intelligence-based technology and data analytics to increase the added value of products and services, (2) strengthening the digital ecosystem through strategic collaboration with business partners and stakeholders, and (3) flexible and subscription-based revenue models to improve business sustainability. In addition, adaptation to regulations and market trends is a key factor in the successful implementation of digital business models. The conclusion of this study confirms that the success of startups in developing digital business models depends not only on technological innovation, but also on the ability to adapt to changes in the business environment. This study contributes to academics and practitioners in understanding the dynamics of digital business models as well as strategies that can be applied to improve startup competitiveness in the era of digital transformation.
Pengaruh Fitur TikTok Affiliate terhadap Perkembangan Bisnis Digital Mahasiswa di Kabupaten Nagan Raya pada Era Society 5.0 Hastuti, Juria; Susanto, Dimas Bagus; Fadillah, Nahya
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 3 (2025): Agustus - October
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i3.2631

Abstract

Penelitian ini dilakukan untuk mengetahui pengaruh fitur TikTok Affiliate terhadap perkembangan bisnis digital mahasiswa dan mengetahui sejauh mana fitur tersebut berperan dalam mendukung perkembangan bisnis digital mahasiswa di Kabupaten Nagan Raya pada era Society 5.0. Penelitian ini menggunakan pendekatan kuantitatif dengan teknik pengumpulan data melalui kuesioner. Sampel dalam penelitian ini adalah mahasiswa yang sedang menempuh Pendidikan Tinggi atau berdomisili di Kabupaten Nagan Raya, serta mahasiswa yang menggunakan TikTok Affiliate sebagai bagian dari bisnis digital sebanyak 96 orang. Analisis yang digunakan adala regresi linier sederhana. Data dianalisi menggunakan bantuan IBM SPSS versi 26. Hasil penelitian menunjukkan Hasil penelitian menunjukkan bahwa fitur TikTok Affiliate berpengaruh secara signifikan terhadap perkembangan bisnis digital mahasiswa dengan nilai signifikansi 0,000 (< 0,05) dan nilai koefisien determinasi (R²) sebesar 0,542. Artinya, sebesar 54,2% perkembangan bisnis digital mahasiswa dapat dijelaskan oleh penggunaan fitur TikTok Affiliate, sementara sisanya dipengaruhi oleh faktor lain di luar penelitian ini. Penelitian ini menyimpulkan bahwa fitur TikTok Affiliate berpengaruh signifikan terhadap perkembangan bisnis digital dan sangat berperan dalam mendukung perkembangan bisnis digital mahasiswa di Kabupaten Nagan Raya pada era Society 5.0.
Co-Authors Adi Ahmad Ardiansyah Fadillah, Nahya Hijriatin, Maudi Sarno . Susanto, Dimas Bagus Yusmanidar