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Application of Failure Mode and Effects Analysis (FMEA) Method in Financial Risk Analysis as ERM Implementation Case Study: PT Prima Hijau Lestari Pramana , Ndinta Herry; Sintha, Lis; Mangani, Ktut Silvanita
INTERNATIONAL JOURNAL OF SOCIAL, POLICY AND LAW Vol. 6 No. 3 (2025): OCTOBER 2025
Publisher : INTERNATIONAL JOURNAL OF SOCIAL, POLICY AND LAW

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.8888/ijospl.v6i3.238

Abstract

This study examines financial risks in the implementation of Enterprise Risk Management (ERM) at PT Prima Hijau Lestari, an outsourcing company in Indonesia, using the Failure Mode and Effects Analysis (FMEA) approach in accordance with ISO 31000:2018. The research was motivated by unstable net profits, client dependency, and regulatory challenges. A descriptive qualitative method was applied through structured interviews and document analysis of financial statements and risk management reports. The findings reveal significant fluctuations in financial risks, particularly accounts receivable, during 2019–2024. To address these risks, management is advised to apply the Fishbone method for root cause analysis, use FMEA to prioritize risks through Risk Priority Numbers (RPN), and strengthen monitoring mechanisms. This study contributes to the academic literature by being among the first to apply ERM and FMEA in financial risk management within the outsourcing sector, an area rarely explored in prior research. Practically, it offers recommendations to improve human resource capacity, strengthen credit policies, and adopt digital risk management tools. The results provide valuable insights for both managerial decision-making and future research on risk governance and financial sustainability in emerging markets.
The Role of Device Fingerprinting, User Behavior, and Shipping Address in Preventing Promotion Abuse in Indonesian E-Commerce Platforms Candra, Eric Fo; Sintha, Lis; Tewu, Denny
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 8 No 3 (2025): Sharia Economics
Publisher : Sharia Economics Department Universitas KH. Abdul Chalim, Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v8i3.7904

Abstract

This research investigates the utilization of device data to identify user behaviors associated with promotion abuse on Indonesian e-commerce platforms. Promotion abuse refers to fraudulent activities where individuals exploit promotional systems, often by creating multiple fake accounts or using the same device for claims repeatedly. The purpose of this study is to examine the relationship between device fingerprinting, user behavior patterns, shipping address data, and the effectiveness of fraud prevention systems. Using a quantitative approach, data were collected from fraud reports made between June 2018 and May 2019. Multiple regression was applied to test the proposed hypotheses. The findings show that device fingerprinting, user behavior, and suspicious delivery address variables significantly affect fraud detection effectiveness. This study highlights the importance of integrating behavioral analysis and device-based data into fraud detection systems to proactively minimize promotional abuse. These insights provide practical implications for e-commerce companies looking to improve their digital security measures and maintain consumer trust.