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Risk Assessment of the Transition of Bank Nagari into a Sharia Commercial Bank Fithri, Prima; Mahardika, Bima; Henmaidi, Henmaidi; Bronto Adi, Alexie Herryandie
JTI: Jurnal Teknik Industri Vol 10, No 2 (2024): December 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v10i2.32363

Abstract

Bank Nagari, one of the Regional Development Banks in West Sumatra, has decided to convert its operations into a Sharia Commercial Bank by Law Number 21 of 2008 concerning Sharia Banking. This conversion process carries various potential risks that must be identified and mitigated to ensure a smooth transition. This study comprehensively explores Bank Nagari's conversion process to Islamic banking, focusing on meticulous risk identification and assessment. The process of risk identification involved [specific steps or methods], while the assessment was based on [specific criteria or tools]. Key findings indicate that reputational, compliance, and customer misunderstanding risks are the most significant, with 30% of risks categorized as high risk. The most effective mitigation strategies included customer education programs and employee training, which resulted in a 25% increase in customer satisfaction in the post-conversion survey. Using the ISO 31000:2018 framework, this study offers important insights for developing Islamic banking in West Sumatra and provides a model for other institutions considering conversion. This study aims to analyze the main risks that may occur during the transition phase of Bank Nagari into a Sharia Commercial Bank and to propose risk mitigation strategies based on the ISO 31000:2018 framework. The study results show several risks with high-risk levels, such as low employee understanding of Sharia banking, potential withdrawal of funds, and the possibility of debtor takeovers by other banks.Keywords: Sharia Banking Transition, Risk Mitigation Strategies, ISO 31000 Framework, Regional Development Banks, Employee Training and Understanding
Model Jaringan Distribusi Produk dengan Pendekatan Fuzzy Multi Objective Programming Viarani, Suci Oktri Viarani M; Henmaidi; Bronto Adi, Alexie Herryandie
Jurnal Optimasi Sistem Industri Vol. 17 No. 1 (2018): Published in April 2018
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (898.763 KB) | DOI: 10.25077/josi.v17.n1.p1-15.2018

Abstract

PT. Semen Padang is one of the cement producers competing to meet the needs of the cement. To that end, PT. Semen Padang must ensure the availability of cement on time, quantity, location and at competitive rates. One way to achieve this by optimizing the distribution system because it will be able to maximize sales and increase corporate profits. In this research, the distribution network planning model of PT. Semen Padang considering the cost of transportation, facility capacity, time, and uncertain demand. This model aims to minimize the total cost of product distribution and cost of opening the buffer warehouse and Packing Plant and maximize responsiveness to customers considering the uncertain parameters by using Fuzzy Multi-Objective Programming method. Based on the results of the research, had obtained the product distribution network planning model by using the fuzzy multi-objective programming method with the output is the opening of Packing Plant and buffer warehouse and the amount of product delivery to the final consumer with minimum cost and time of distribution. Search solution or output model assisted with Software Lingo 17.0. The designed model is able to explain the change of output if there are any changes in parameters covering demand between marketing areas, transportation costs between marketing areas and vehicle speed in transporting products from the last distribution center to the marketing area. The model can be implemented in the distribution network planning of PT. Semen Padang by using data in accordance with the conditions in the field.