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Pengaruh Behavioral Intention dan User Behavioral terhadap Gender sebagai Variabel Moderasi Nadya Fritanita Julyazti; Mohamad Fany Alfarisi; Fajri Adrianto
Jurnal Informatika Ekonomi Bisnis Vol. 5, No. 1 (March 2023)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v5i1.220

Abstract

This study aims to prove the effect of performance expectancy, effort expectancy, social influence and facilitating conditions on the behavioral intention of customers in the city of Padang to use Islamic banking mobile banking in the city of Padang. In addition, this study aims to prove the role of gender as a moderator of the relationship between behavioral intention and customer user behavior. Using sharia banking mobile banking services in the city of Padang. Data collection was carried out by distributing questionnaires which were carried out directly or using the Google form. The data analysis method was carried out using the Structural Equation Model. Based on the results of hypothesis testing, it was found that performance expectancy, social influence, facilitating conditions had a significant effect on behavioral intention, besides that it was also found that gender did not moderate the relationship between behavioral intention and user behavior of customers using Islamic banking mobile banking services in Padang City.
Pengaruh Behavioral Intention dan User Behavioral terhadap Gender sebagai Variabel Moderasi Julyazti, Nadya Fritanita; Alfarisi, Mohamad Fany; Adrianto, Fajri
Jurnal Informatika Ekonomi Bisnis Vol. 5, No. 1 (March 2023)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (368.991 KB) | DOI: 10.37034/infeb.v5i1.220

Abstract

This study aims to prove the effect of performance expectancy, effort expectancy, social influence and facilitating conditions on the behavioral intention of customers in the city of Padang to use Islamic banking mobile banking in the city of Padang. In addition, this study aims to prove the role of gender as a moderator of the relationship between behavioral intention and customer user behavior. Using sharia banking mobile banking services in the city of Padang. Data collection was carried out by distributing questionnaires which were carried out directly or using the Google form. The data analysis method was carried out using the Structural Equation Model. Based on the results of hypothesis testing, it was found that performance expectancy, social influence, facilitating conditions had a significant effect on behavioral intention, besides that it was also found that gender did not moderate the relationship between behavioral intention and user behavior of customers using Islamic banking mobile banking services in Padang City.
TANTANGAN KEAMANAN DATA DALAM IMPLEMENTASI TEKNOLOGI AI DI AKUNTANSI Hayati, Dian Indah; Sulaiman, Ahmad Rahbani; Syawitri, Afriosa; Julyazti, Nadya Fritanita
TRILOGI ACCOUNTING & BUSINESS RESEARCH Vol 5, No 2 (2024)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/tabr.v5i2.2155

Abstract

Artificial Intelligence (AI) has made a huge impact in transforming the accounting industry by automating various processes, improving operational efficiency, and providing more accurate data analysis for decision-making. However, despite its significant benefits, the application of AI in accounting also brings great challenges, especially in terms of data security. The threat of cyberattacks can undermine the integrity of financial statements and the audit process. In addition, vulnerabilities in AI algorithms used in accounting can enable manipulations that affect analysis results and business decisions. This research aims to identify these key challenges and propose relevant mitigation solutions. Among the solutions discussed are the implementation of blockchain to improve data transparency and security, regular audits to monitor the integrity of AI systems, and employee training to raise awareness of potential cyber threats. With a descriptive approach and literature analysis, this study provides practical guidance for companies to securely integrate AI in their accounting practices.Keywords: Artificial Intelligence (AI), Data Security, Blockchain
Estimated Financial Distress in Manufacturing Companies Listed on the Indonesian Stock Exchange Julyazti, Nadya Fritanita; Maulana, Marcel
YUME : Journal of Management Vol 7, No 3 (2024)
Publisher : Pascasarjana STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/yum.v7i3.7921

Abstract

This study aims to analyze the possibility of financial distress in several manufacturing companies listed on the Indonesia Stock Exchange. This research uses 3 manufacturing companies. The data used was from 2018 to 2020. The analysis technique used to predict the tendency of financial distress is the Alant's Z-score. According to the analysis that has been carried out, it was found Based on the results of Almant's Z-score analysis, it was found that PT Asiaplas Industries (APLI) had different conditions from 2018 to 2020. In 2018 APLI is predicted to experience financial distress, in 2019 APLI is in a gray area position, while in 2010 APLI shows better conditions, because they are able to escape from bankruptcy symptoms, A different thing happened to SIPD in 2018 and 2019 which was predicted to be far from bankruptcy, but in 2020 SIPD experienced a decline in financial performance and is predicted to experience bankruptcy in the near future.  The same thing happened to LPIN, in 2018 the company was predicted to escape bankruptcy, but in 2019 and 2020 LPIN actually experienced a decline in the company's performance and was predicted to experience financial distress in the coming years. Kata Kunci: Financial Distress, Z-score Almant, Working Capital to Assets, Retaining Earning to Assets, Earning Before Interest and Tax to Total Assets, & Market Value of Equity to Book Value of Debt
Regulatory Gaps in Social Media During Humanitarian Conflicts: Facebook and Rohingya Genocide Maulana , Marcel; Julyazti, Nadya Fritanita
Jurnal Economic Resource Vol. 8 No. 1 (2025): March-August
Publisher : Fakultas Ekonomi & Bisnis Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57178/jer.v8i1.1183

Abstract

This study examines Facebook's role in the Rohingya genocide in Myanmar, highlighting regulatory gaps that enable social media misuse. Using a qualitative case study approach, it explores how Facebook's algorithm, prioritizing user engagement, amplifies misinformation and hate speech, fueling ethnic violence. Key regulatory gaps include Facebook's inadequate local content moderation, Myanmar's weak legal oversight, and the absence of robust international regulations. Despite civil society's watchdog role, limited resources hinder effectiveness. The study underscores the urgent need for digital governance reforms to address these gaps, curb hate speech, and protect vulnerable communities from social media's harmful impacts.