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MEMBANGUN MODEL BISNIS BERKELANJUTAN DENGAN MENERAPKAN SISTEM INFORMASI MANAJEMEN YANG RAMAH LINGKUNGAN Sri Rapida; Muhammad Irwan Padli Nasution
JURNAL AKADEMIK EKONOMI DAN MANAJEMEN Vol. 1 No. 4 (2024): Desember
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jaem.v1i4.3134

Abstract

Climate change and environmental degradation are pressing global issues. Business, As one of the main actors in human activities, has an important role in addressing These issues. This article discusses building a sustainable business model by Implementing an environmentally friendly management information system (SIM). Through descriptive methodology, this research analyzes various aspects, from the Definition of a sustainable business model and the role of SIM in supporting Sustainability, to how SIM can be designed and implemented to minimize Environmental impacts and drive operational efficiency
Menghadapi Badai Digital : Studi Eksploratif Tentang Peran Big Data dalam Komunikasi Krisis Deva Fitri Zuya; Mareta Rindiani; Sri Rapida; Nurbaiti Nurbaiti
Maeswara : Jurnal Riset Ilmu Manajemen dan Kewirausahaan Vol. 3 No. 3 (2025): Juni : Maeswara : Jurnal Riset Ilmu Manajemen dan Kewirausahaan
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/maeswara.v3i3.1884

Abstract

This study explores the role of Big Data in crisis communication in the digital age, where information dissemination happens quickly through various platforms. This transformation poses challenges such as the risk of spreading fake news and reputation crises. Big Data plays an important role in detecting potential crises early, as well as in understanding the dynamics of public opinion and designing more responsive and effective communication strategies. Through real-time data collection and analysis from various sources, such as social media and news reports, organizations can build smart and adaptive monitoring systems. This research uses a descriptive qualitative approach to explore the role of Big Data in crisis communication in the digital era. The results show that the crisis detection process starts from data collection, cleaning, to sentiment analysis that helps organizations measure public response. However, the application of Big Data also faces considerable challenges, including the complexity of processing data with high accuracy, privacy issues, and the readiness of infrastructure and human resources in the organization. This research provides clearer insights into the strategies that can be used to optimize Big Data in crisis communications, so that organizations can strengthen communication effectiveness, maintain reputation, and build public trust amidst evolving information challenges.