Mohammad Adrian
Universitas Lampung

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THE IMPACT OF ARTIFICIAL INTELLIGENCE–DRIVEN PERFORMANCE MANAGEMENT ON EMPLOYEE PRODUCTIVITY: THE MEDIATING ROLE OF JOB CRAFTING IN A MULTI-SECTOR STUDY ACROSS INDONESIA: DAMPAK MANAJEMEN KINERJA BERBASIS KECERDASAN BUATAN TERHADAP PRODUKTIVITAS KARYAWAN: PERAN MEDIASI JOB CRAFTING DALAM STUDI MULTI-SEKTOR DI SELURUH INDONESIA Evi Komala; Intan Lidiya Widuri; Mohammad Adrian; Ria Yuli Hastini; Sri Hartati
SOSIOEDUKASI Vol 14 No 4 (2025): SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL
Publisher : Fakultas Keguruan Dan Ilmu Pendidikan Universaitas PGRI Banyuwangi

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Abstract

The rapid adoption of artificial intelligence (AI) in performance management systems has transformed how organizations evaluate and enhance employee performance. However, empirical evidence on how AI-driven performance management improves employee productivity across diverse industrial sectors remains limited, particularly in emerging economies such as Indonesia. This study aims to examine the effect of AI-driven performance management on employee productivity, with job crafting serving as a mediating variable. Using a quantitative explanatory survey design, data were collected from 170 employees across multiple industries in Indonesia that have implemented AI-based performance management systems. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that AI-driven performance management has a positive and significant direct effect on employee productivity. Additionally, AI-driven performance management significantly enhances job crafting behaviors, which in turn positively influence employee productivity. Mediation analysis confirms that job crafting partially mediates the relationship between AI-driven performance management and employee productivity. These findings suggest that the productivity-enhancing potential of AI-based performance management is strengthened when employees are enabled to proactively redesign their work. This study contributes to the literature on technology-driven human resource management and provides practical insights for organizations seeking to integrate AI systems with employee-centered work practices.
AIDA (Attention, Interest, Desire, Action) as a Social Media Marketing Strategy towards Customer Loyalty of Pelakor Laundry Business. Muhammad Izzatul Haq; Mohammad Adrian; Katty Cintiasari; Fernando Hosse Fahrezi; Mahrinasari MS
Journal Of Community Service for Economics and Business Vol. 1 No. 1 (2025): June
Publisher : MINOVa Ditria Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66016/jcseb.v1i1.12

Abstract

This study aims to explore the application of the AIDA model (Attention, Interest, Desire, Action) as a social media marketing strategy in enhancing customer loyalty at the "Pelakor" laundry business in Bandar Lampung. The research employs a qualitative descriptive approach with data collection techniques through in-depth interviews and focus group discussions (FGDs). The findings indicate that each stage of AIDA contributes positively to increasing consumer attention, interest, desire, and action, which in turn impacts satisfaction and loyalty. However, the study found that the business has not yet optimized the use of paid advertisements, loyalty programs, and a variety of digital payment methods. Recommendations are provided for the business to develop a digital-based loyalty program and expand payment channels to strengthen customer engagement.
Determinants Of E Wallet Loyalty In Indonesia: The Mediating Role Of Satisfaction Mohammad Adrian; Mahrinasari MS; Dorothy RH Pandjaitan
Science and Education Journal (SICEDU) Vol 5 No 2 (2026): Science and Education Journal 2026
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/sicedu.v5i2.630

Abstract

This study examines the determinants of e wallet loyalty in Indonesia by testing the effects of service quality, ease of use, usefulness, cost, and security, with user satisfaction as a mediating variable. A quantitative cross sectional survey was conducted using a five point Likert questionnaire distributed through Google Form to 300 active e wallet users in Indonesia from 18 February to 1 March 2026. The data were analyzed with SmartPLS 4 using the PLS SEM approach. The measurement model met the requirements of convergent validity, discriminant validity, and reliability. The structural model explained 79.6 percent of the variance in satisfaction and 78.6 percent of the variance in loyalty. The results show that service quality, ease of use, usefulness, cost, and security each have a positive and significant effect on satisfaction. Service quality, ease of use, cost, security, and satisfaction also have a positive and significant effect on loyalty, whereas usefulness does not directly affect loyalty. However, satisfaction significantly mediates all antecedent relationships with loyalty. Security is the strongest direct predictor of loyalty, while ease of use is the strongest predictor of satisfaction. The findings indicate that loyalty in e wallet services is shaped not only by functional performance but also by a secure and satisfying user experience.