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Author: search.filters.author.Utomo, Rio GunturHas files: No

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    Applying Quantitative Risk Analysis to IT Asset Assessment in F&B Investments: A Case Study of Coffee Shop XYZ
    (2025-01-01)
    Wibowo, Jonathan Arya
    ;
    Yasirandi, Rahmat
    ;
    Utomo, Rio Guntur
    Currently, many companies have started investing in Information Technology tools to enhance operations and services. This includes numerous modern Coffee Shops that have also begun investing in IT. Similarly, Coffee Shop XYZ has invested in IT to support its operational activities. However, there are certain risks associated with IT investment. This study successfully utilized the Quantitative Risk Analysis (QRA) method to calculate potential risks. The results indicated a potential loss of 390% of the initial IT investment capital, amounting to IDR 284,026,145. The implications of this study suggest that Coffee Shop XYZ can develop and implement mitigation actions to minimize the potential for losses by applying SOPs, strategic actions at the top-level management, or monitoring applications. This enables Coffee Shop XYZ to monitor all threats and risks effectively.
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    Comprehensive Evaluation of the Lakeside Café Point of Sale (POS) Application: A Synergistic Analysis Using SUS and EUCS Models
    (2024-01-01)
    Wibowo, Jonathan Arya
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    Yasirandi, Rahmat
    ;
    Utomo, Rio Guntur
    ;
    Pratama Anom, Rahmat Indra
    Lakeside Café, located in the Telkom University, processes approximately 80-100 drink transactions daily. Having used their current point-of-sale (POS) application for over a year, an urgent evaluation of its performance and user satisfaction is necessary to ensure ongoing efficiency. This study employs the System Usability Scale (SUS) model and the Extended Unified Theory of Acceptance and Use of Technology (EUCS) model. This combined approach enhances the understanding of the application's strengths and identifies areas for improvement, forming a solid foundation for evaluating user satisfaction. The study reveals notable usability of the Lakeside Café POS application, evidenced by an SUS score of 78.8, ranking it as "ACCEPTABLE"and "GOOD."The EUCS model analysis further highlights potential enhancements, with the Content and Functionality dimensions scoring 3.5 and 3.65, respectively, indicating room for workflow process development. These findings emphasize the need for improved content delivery and strengthened application functionality to boost user satisfaction and maximize system performance. This research enriches the dialogue on technological acceptance, providing valuable insights for developers and stakeholders focused on advancing POS applications. The use of SUS and EUCS models offers a comprehensive evaluation method, fostering continuous advancements and innovations in digital solutions within the food and beverage sector.
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    The Adoption of the 'Buruan Sae' Agricultural Extension Application in Bandung City Using the UTAUT
    (2023-01-01)
    Tsabitul Azmi, Hilmi
    ;
    Utomo, Rio Guntur
    ;
    Nuha, Hilal H.
    ;
    Yasirandi, Rahmat
    The 'Buruan Sae' program in Bandung is an integrated urban farming initiative by the Department of Food and Agriculture. This research investigates the factors influencing the adoption of the agricultural extension application 'Buruan Sae' in Bandung City, utilizing the UTAUT model. The study collected data from 14 agricultural extension agents working under the Department of Food Security and Agriculture. The analysis identified trust and performance expectancy as the key determinants of adoption, complemented by attitude and dependence. The study investigated the impact of different factors on users' intention to use the 'Buruan Sae' app. The study investigated the impact of UTAUT variables on Behavioral Intention towards the 'Buruan Sae' app. Four out of five variables (Effort Expectancy, Social Influence, Facilitating Conditions, and Perceived Technology) positively influenced Behavioral Intention, while Performance Expectancy had a weaker impact. The Performance Expectancy's regression coefficient was 0.410 with a significance level of 0.000 $( < 0.05)$, leading to the acceptance of Hypothesis 1. The same holds true for Effort Expectancy and Social Influence with t-values of 6.013 and 3.668, respectively, both significant at sig $< 0.05$, confirming Hypotheses 2 and 3. Facilitating Conditions' influence on Perceived Technology was established with a t-value of 5.425 and sig $< 0.05$, accepting Hypothesis 4. The F-test further supported the impact of Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions on Perceived Technology, as Hypothesis 5 was accepted due to a sig of 0.002 and a calculated F-value of 10.296 $( > 3.59)$. The study concludes that due to limitations in the data, further research is recommended for a more thorough exploration of how 'Buruan Sae' app is used by extension workers in the Food and Agriculture Resilience Agency. This could involve methods like direct observations, interviews, or case studies to gain insights into farmers' use of the app, along with the associated challenges and benefits.
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