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GENERATIVE ARTIFICIAL INTELLIGENCE SEBAGAI PENASIHAT KEUANGAN PRIBADI Rafli, Muhammad Raihan; Claudia, Meiske; Rahadhian, Liko Noor Rafianto; Syahputra, Muhammad Dio; Wahyudi, M. Haikal
KINDAI Vol 21 No 1 (2025): KINDAI
Publisher : JURNAL KINDAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35972/kindai.v21i1.2072

Abstract

Generative Artificial Intelligence (GAI) telah memberikan kemudahan dalam membantu pekerjaan manusia, khususnya di bidang keuangan. GAI dapat dimanfaatkan Masyarakat sebagai penasihat keuangan pribadi, memungkinkan mereka untuk mendapatkan saran investasi yang disesuaikan dengan profil keuangan dan tujuan pribadi mereka, sehingga meningkatkan pengelolaan keuangan dan potensi keuntungan. Penelitian ini bertujuan untuk mengetahui seberapa efektif dan bagaimana kredibilitas GAI dalam perannya sebagai financial advisor. Penelitian ini menggunakan pendekatan kualitatif melalui studi literatur dengan data yang dikumpulkan melalui teori-teori dari berbagai literatur yang relevan dengan topik penelitian. Hasil penelitian menunjukkan bahwa GAI tidak dapat sepenuhnya digunakan sebagai penasihat keuangan pribadi karena hasil yang ditampilkan cenderung bias dan tidak akurat, sehingga harus disertai dengan pengawasan manusia yang salah satunya adalah dengan mengintegariskan pengetahuan dasar seperti literasi keuangan yang dengan GAI agar dapat meningkatkan pemahaman dan efisiensi pengguna terkait informasi mengenai risiko untuk memastikan bahwa keputusan yang diambil adalah yang paling sesuai dan bertanggung jawab bagi masing-masing individu. Kata kunci: artificial intelligence, penasihat keuangan, generative artificial intelligence
Green Process Innovation and its Impact on Sustainability Performance: The Mediating Role of Green Supply Chain Management in the Food and Beverage Industry Rafli, Muhammad Raihan; Makiah, Zulpa; Claudia, Meiske; Syahputra, Muhammad Dio; Aisyah, Lisda; Faridah, Rohana
Journal of Entrepreneurship & Business Vol. 6 No. 2 (2025): Journal of Entrepreneurship and Business (June)
Publisher : Program MM Universitas Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24123/jeb.v6i2.7411

Abstract

Purpose: The food and beverage sector, which contributes significantly to plastic waste in Indonesia, may reduce its usage of single-use plastics by using green process innovation (GPI). By incorporating economic and environmental goals into the strategic management of supply chain operations, Green Supply Chain Management (GSCM) can propel this. This study aims to evaluate the role of GPI and GSCM in achieving sustainable corporate performance (SP) in Indonesia, especially in the food and beverage industry. Method: Purposive sampling was used to select samples from the food and beverage industry during the 2021-2023 period which resulted in 12 companies as samples. Path analysis was used as a data analysis method in this study. After that, Warp-PLS 8.0 software was used to process the data obtained. Result: The results showed that GPI has a positive and significant influence on SP, and GPI has a positive and considerable influence on GSCM. Meanwhile, GSCM does not influence SP, and GSCM cannot mediate the influence between GPI and SP.
The Digital Dilemma: How Technostress and Digital Competence Impact Employee Performance via Job Satisfaction Syahputra, Muhammad Dio; Rahmawati, Rini; Claudia, Meiske; Rifani, Ahmad
International Journal of Economics, Business and Innovation Research Vol. 4 No. 06 (2025): October- November, International Journal of Economics, Business and Innovation
Publisher : Cita konsultindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijebir.v4i06.2331

Abstract

This study delves into the critical relationship between technostress, digital competence, and employee performance at PT Air Minum Bandarmasih (Perseroda), with job satisfaction as a key mediating variable. The primary objective is to address the gap in existing research by examining how these technological factors influence employee outcomes within the specific context of a state-owned water utility company. Using a quantitative approach with a sample of 146 staff-level employees, the study employs Proportionate Stratified Random Sampling and SEM-PLS analysis to build upon previous studies by providing a nuanced understanding of these dynamics. The findings offer a significant novelty by confirming the negative and significant impact of technostress on both job satisfaction and performance, while simultaneously highlighting the positive and significant effect of digital competence. Crucially, the research establishes the vital role of job satisfaction as a mediator, demonstrating that managing technological demands and enhancing digital skills are not just about efficiency but are foundational to fostering employee well-being and, consequently, improving overall performance in the digital era.