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All Journal ADI Journal on Recent Innovation (AJRI) International Journal of Islamic Business and Management Review
Baltasar, Sora
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Religion Arts Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Social Sciences

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Scarcity Effect, FOMO, WOM, and Influencers in Iftar Snacks: A Study of Marketing Strategies During Ramadan in Indonesia Baltasar, Sora; Wibowo, Dani W; Akriyono, Phintoko Akhbar; Rohana, Ana; Wardani, Sandi Yuda; Puspitasari, Dini
International Journal of Islamic Business and Management Review Vol. 5 No. 1 (2025)
Publisher : Asosiasi Dosen Peneliti Ilmu Ekonomi dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54099/ijibmr.v5i2.1388

Abstract

This study examines the sale of takjil (iftar snacks) by Micro, Small, and Medium Enterprises (MSMEs) during Ramadan in Indonesia, emphasizing the integration of social, cultural, and religious values in business practices. Using a narrative review method, this research analyzes relevant literature to explore iftar snacks consumption patterns and marketing strategies adopted by MSMEs. Findings indicate that Ramadan is not only a spiritual occasion but also a time of increased social cohesion and economic opportunity. The tradition of iftar snacks stalls, embraced by both Muslims and non-Muslims, reflects local wisdom and a spirit of togetherness. Marketing strategies based on Fear of Missing Out (FOMO), scarcity, and word of mouth have proven effective, particularly through digital platforms. However, many MSMEs still struggle to understand consumer behavior and manage excess inventory. The study concludes that MSME success during Ramadan depends on their ability to present products attractively, build emotional connections with consumers, and implement marketing strategies that are responsive to cultural and social values.
Nafs Maturity as Foundation of Islamic Leadership, Work Behavior, and Organizational Performance Baltasar, Sora; Budiandri, Eka; Hernando, Yose; Gumilar, Donny; Meilawati, Refsi
International Journal of Islamic Business and Management Review Vol. 5 No. 2 (2025)
Publisher : Asosiasi Dosen Peneliti Ilmu Ekonomi dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54099/ijibmr.v5i2.1684

Abstract

This study examines how nafs maturity influences the internalization of Islamic leadership values and its implications for work behavior and organizational performance. Previous leadership and human resource management studies, including Islamic perspectives, largely emphasize structural and managerial factors, yet provide limited explanation for variations in employees’ responses to identical leadership values. Employing an analytically oriented qualitative literature review, this study synthesizes findings from reputable national and international journals in Islamic psychology, leadership, and organizational behavior. Qualitative content analysis is applied using a comparative and interpretative approach, mapping empirical findings onto the nafs typology (ammarah, lawwāmah, and muṭma’innah). The findings reveal that nafs maturity determines the depth of leadership value internalization, shaping self-control, Islamic work ethic, emotional regulation, and behavioral consistency. Higher nafs maturity is associated with deep internalization and sustainable performance, while lower maturity tends to result in formal compliance and passive resistance. This study highlights nafs maturity as a foundational internal mechanism linking Islamic leadership, work behavior, and sustainable organizational performance
Data Driven Predictive Maintenance Framework for Railway Safety in Indonesia Pasurangga, Dimas; Baltasar, Sora
ADI Journal on Recent Innovation Vol. 7 No. 1 (2025): September
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v7i1.1322

Abstract

Indonesia’s railway network faces increasing operational pressures as passenger and freight volumes continue to rise, revealing the limitations of reactive maintenance approaches and emphasizing the need for predictive, data driven safety mechanisms. This study aims to develop a conceptual framework for a data-driven predictive maintenance system to enhance railway safety, reliability, and operational efficiency in Indonesia. A Systematic Literature Review (SLR) was conducted on international and national studies presents 25 key references published between 2016 and 2025 on early detection systems in railway, focusing on railway condition monitoring, IoT based maintenance, and AI driven safety analytics. The synthesized findings indicate that integrating IoT sensors, vibration monitoring, and hot box and hot axle detection systems supported by artificial intelligence and big data analytics can significantly improve early anomaly detection, predictive decision-making, and risk prevention. Nevertheless, several challenges remain, including limited technical capacity, fragmented regulations, and high implementation costs. The proposed data driven predictive maintenance framework positions early detection systems as strategic instruments for digital transformation in railway operations, strengthening risk management, promoting sustainable infrastructure, and aligning Indonesia’s railway governance with global standards for intelligent and resilient transportation systems.
Co-Authors Akriyono, Phintoko Akhbar ANA ROHANA Budiandri, Eka Gumilar, Donny Hernando, Yose Meilawati, Refsi Pasurangga, Dimas Puspitasari, Dini Wardani, Sandi Yuda Wibowo, Dani W