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All Journal Journal of Economic, Bussines and Accounting (COSTING) Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Journal Integration of Management Studies
Leo Aldianto
Institut Teknologi Bandung
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DESIGNING A BUSINESS INTELLIGENCE DASHBOARD FOR DEMAND-DRIVEN INVENTORY MANAGEMENT: A CASE STUDY OF MEDIKLUG PHARMACEUTICAL DISTRIBUTION COMPANY Nicolaus Ernest Mamonto; Leo Aldianto
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 6 No. 2 (2026): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.18821611

Abstract

In pharmaceutical distribution, balancing high product variety with fluctuating demand is a constant challenge. When inventory decisions don’t reflect actual customer usage, companies face a frustrating cycle of stock-outs for popular items and dusty shelves for slow-movers—eventually hurting the bottom line. Mediklug, a healthcare tech firm, faced this exact issue; despite having detailed clinic-level consumption data from their EMR system, they saw a significant revenue dip in late 2025. This study explores how to bridge that gap using Demand-Driven Supply Chain (DDSC) principles. By leveraging Business Intelligence (BI), we aimed to turn Mediklug’s "data wealth" into actual insights. The research focused on three areas: identifying where demand and inventory were mismatched, building a BI dashboard to guide better purchasing, and seeing if the team would actually find the tool useful. We took a mixed-methods approach, cleaning up messy EMR data to match inventory records and interviewing the people on the front lines. The results were clear: the mismatches were systemic, but the new dashboard made demand much easier to see and manage. Most importantly, the stakeholders found the solution practical and easy to use. Ultimately, this case shows that even in complex pharmaceutical environments, BI can make "demand-driven" management a reality rather than just a theory.
IMPROVING ERP ACCEPTANCE AT NIRWANA YUDHA TEKNIK USING THE UTAUT MODEL Irfan Mauhibi; Leo Aldianto
Journal of Economic, Bussines and Accounting (COSTING) Vol. 8 No. 4 (2025): COSTING : Journal of Economic, Bussines and Accounting
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/costing.v8i4.15551

Abstract

In the Industry 4.0 era, digital transformation is crucial for organizations to stay competitive and enhance operational efficiency. Enterprise Resource Planning (ERP) systems, such as Trexa adopted by Nirwana Yudha Teknik, an Indonesian oil and gas company, in 2020, are central to this transformation. Trexa was designed to integrate core business functions like inventory, procurement, and project management, but it faced challenges in user adoption, with employees continuing to rely on manual tools. This research aimed to identify factors influencing the acceptance and use of the Trexa system and to propose strategic solutions for enhancing its implementation. The study employed the Unified Theory of Acceptance and Use of Technology (UTAUT) model, focusing on Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions. A quantitative approach was used, surveying 47 employees, with data analyzed through PLS-SEM. The results showed that Performance Expectancy and Effort Expectancy positively influenced Behavioral Intention to use Trexa, but Social Influence did not significantly affect user motivation. Facilitating Conditions had the strongest effect on actual usage. Based on the ADKAR model, recommendations include improving IT infrastructure, aligning processes, enforcing digital policies, and offering targeted training. This study contributes to the UTAUT framework and ERP adoption strategies.
Managing The Invisible Product: A Strategic Framework for Geospatial Infrastructure Investment in Indonesian Ride-Hailing Platform Muhammad Iqnaul Haq; Leo Aldianto
Journal Integration of Management Studies Vol. 4 No. 1 (2026): Article In Press
Publisher : Integrasi Sains Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58229/jims.v4i1.457

Abstract

Geospatial capabilities have become critical dependencies in ride-hailing platforms, providing maps, routing, and location services. However, these foundational technologies frequently face prioritization challenges against more visible product features. This research addresses the "Invisible Product Paradox" by developing a Geospatial Product Strategy Framework for Indonesian ride-hailing platforms, using PT GoTo Gojek Tokopedia Tbk as the primary case. Employing a sequential mixed-methods design, the study integrates qualitative analysis of eight expert interviews (275 coded quotations using Atlas.ti) with quantitative validation through sentiment analysis of 4,806 user reviews. The theoretical lens combines Jobs-to-be-Done, Product-Market Fit, and Platform Strategy theories. Two complementary analyses were conducted: an independent platform-based validation (Kimola.com) identified a -1.07 star penalty across 586 geospatial reviews (12.19%), while the primary keyword-filtered analysis revealed a -1.21 star penalty across 520 reviews (10.81%, p<0.001). Three emergent concepts were identified: the Invisible Product Paradox, Silent Killer Effect, and Frequency-Severity Disconnect. The framework resulting from this research comprises three integrated tools: Job-to-Geo Impact Matrix, PMF Threshold Metrics Framework, and Build-vs-Buy Geospatial Sourcing Decision Framework, providing systematic approaches for geospatial investment prioritization in emerging market contexts.
Co-Authors Irfan Mauhibi Muhammad Iqnaul Haq Nicolaus Ernest Mamonto