Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Bisnis Kreatif dan Inovatif Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Risko Nur Rizqi
Unknown Affiliation
Computer Science & IT Economics, Econometrics & Finance

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

Found 2 Documents
Search

 1 
Optimalisasi Manajemen Risiko dalam Pengembangan Aplikasi Self Ordering: Studi Kasus Implementasi di Restoran Cepat Saji Indonesia Risko Nur Rizqi; Oktaviano Rifky Ramadhani; M. Hakam Al Kautsar; Ilham Albana
Jurnal Bisnis Kreatif dan Inovatif Vol. 2 No. 3 (2025): September : Jurnal Bisnis Kreatif dan Inovatif
Publisher : Asosiasi Riset Ilmu Manajemen dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jubikin.v2i3.965

Abstract

The Digital transformation in Indonesia’s fast-food industry has accelerated the adoption of self-ordering technology to improve operational efficiency and customer experience. However, the implementation of such systems faces several technical, operational, and social risks that may hinder success. This study aims to analyze the optimization of risk management in the development of self-ordering applications for Indonesian fast-food restaurants. A qualitative approach through a literature review was employed to identify key risk factors and mitigation strategies based on academic sources published between 2020 and 2024. The findings reveal that a comprehensive and contextual risk management approach is critical for successful implementation. Technical risks can be minimized through staged system testing and robust data security, while operational risks can be mitigated through employee training and effective change management. Moreover, adapting system design to local cultural and consumer preferences enhances user acceptance. The study concludes that applying risk management frameworks such as ISO 31000 and PMBOK can strengthen the digital transformation of Indonesia’s fast-food industry and provide practical guidance for decision-makers in managing technology-based restaurant operations.
Analisis Komparatif Pemanfaatan Generative AI Gemini dan Grok dalam Pembuatan Konten Edukasi Visual Satreskrim Polresta Banyumas R. Vitto Mahendra; Risko Nur Rizqi; Oktaviano Rifky Ramadhani; Dhanar Intan Surya Saputra
Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Vol. 4 No. 2 (2026): Juni: Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/uranus.v4i2.1623

Abstract

The rise in cybercrime in Indonesia has prompted law enforcement agencies to optimize their preventive communication strategies based on visual content. This study conducts a comparative analysis of the use of two generative artificial intelligence platforms—Gemini (Google DeepMind) and Grok (xAI)—in the production of visual educational content by the Criminal Investigation Unit of the Banyumas City Police. The methodology employed is a comparative experimental research approach using identical prompt instruments across two main scenarios: the prevention of motor vehicle theft and the prevention of online fraud. The evaluation was conducted based on three assessment dimensions: contextual relevance, production speed (response time), and content filtering mechanisms. The study’s findings indicate that Grok outperforms Gemini in terms of production speed, the depth of local identity representation, and visual quality tailored to social media audiences, while Gemini demonstrates superiority in the dimensions of formality and consistency of output for the context of official institutional communication. The implications of this research point toward a recommendation for a complementary approach in the synergistic use of both platforms in accordance with the specific communication needs of the Criminal Investigation Unit.
Co-Authors Dhanar Intan Surya Saputra Ilham Albana M. Hakam Al Kautsar Oktaviano Rifky Ramadhani R. Vitto Mahendra