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Operations Research: International Conference Series
Published by Indonesian Operations Research Association
ISSN : 27231739     EISSN : 27220974     DOI : https://doi.org/10.47194/orics
Core Subject : Economy, Science, Education, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Mathematics
Operations Research: International Conference Series (ORICS) is published 4 times a year and is the flagship journal of the Indonesian Operational Research Association (IORA). It is the aim of ORICS to present papers which cover the theory, practice, history or methodology of OR. However, since OR is primarily an applied science, it is a major objective of the journal to attract and publish accounts of good, practical case studies. Consequently, papers illustrating applications of OR to real problems are especially welcome. In real applications of OR: forecasting, inventory, investment, location, logistics, maintenance, marketing, packing, purchasing, production, project management, reliability and scheduling. In a wide variety of environments: community OR, education, energy, finance, government, health services, manufacturing industries, mining, sports, and transportation. In technical approaches: decision support systems, expert systems, heuristics, networks, mathematical programming, multicriteria decision methods, problems structuring methods, queues, and simulation.
Arjuna Subject : Umum - Umum
Articles 125 Documents
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Generational Analysis of Financial Decision- Making Among Gen-X, Gen-Y, and Gen-Z Sudaryo, Yoyo; Suryaningprang, Andre; Sumawidjaja, Riyandi Nur; Febriyanti, Diah; Zulfiqar, Mochammad
Operations Research: International Conference Series Vol. 6 No. 3 (2025): Operations Research: International Conference Series (ORICS)
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v6i3.397

Abstract

This study aims to examine the influence of demographic factors on the financial decision-making behavior of three generational cohorts Gen-X, Gen-Y, and Gen-Z in urban Indonesia, focusing on Jakarta, Bandung, and Surabaya. Using a quantitative approach, data were collected through an online survey with 381 respondents and analyzed using ANCOVA and Kruskal- Wallis tests. The findings reveal that income significantly impacts financial decision-making, with higher-income individuals making more informed choices. Women and Gen-Y demonstrate stronger saving discipline and cost-optimization strategies, while city- specific patterns highlight differences in financial behaviors, such as timely payments and discount awareness. Gender and occupation show no significant overall effects, though some variations exist in specific behaviors. These results provide theoretical insights into behavioral accounting, particularly in understanding the role of income and demographic contexts in shaping financial behaviors. Practically, the study informs financial advisors and policymakers to design tailored education and advisory programs for different demographic groups. The study offers a novel contribution by utilizing ribbon chart visualizations to uncover intergenerational and intercity financial behavior patterns in Indonesia.
Analysis of Treatment Period for TB Patients Using The Kaplan-Meier Method Andini, Kiki Andini; Marsanda, Mareta; Wahyuni, Olivia Nindi; Prabowo, Agung
Operations Research: International Conference Series Vol. 6 No. 3 (2025): Operations Research: International Conference Series (ORICS)
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v6i3.398

Abstract

This study aims to analyze the duration of treatment for tuberculosis (TB) patients using the Kaplan-Meier method, a non-parametric approach in survival analysis. The research data comes from the Banyumas Regency Health Office for the period March 2023 to November 2023, with a total of 25 patients. The variables analyzed include gender, age, and treatment completion status. The results of the study showed that the chance of incomplete treatment was higher in male patients than in female patients, and the chance of incomplete treatment in patients aged >40 years was higher than in the age group ≤40. The Kaplan-Meier method was used to calculate the survival function, hazard function, and survival time distribution, which provides an in-depth understanding of the dynamics of TB treatment. These findings can assist policymakers in improving the effectiveness of TB treatment in Banyumas Regency.
Implementation of a Web-Based Water Quality Control System for Koi Ponds Using Mamdani Fuzzy Logic and the Laravel Framework Maulana, Muhamad Arif
Operations Research: International Conference Series Vol. 6 No. 3 (2025): Operations Research: International Conference Series (ORICS)
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v6i3.399

Abstract

This study presents the design and implementation of a web-based water quality control system for koi ponds using Mamdani fuzzy logic and the Laravel framework. The system integrates pH, TDS, and temperature sensors with an ESP32 microcontroller to monitor water conditions in real-time. The fuzzy logic controller processes sensor inputs and automatically activates pumps to inject acid or base solutions, thereby maintaining optimal water quality. Test results show that the pH sensor achieved an average accuracy of 95.27% with an error rate of 4.73%, while the TDS and temperature sensors recorded accuracies of 97.95% and 98.35%, respectively. The fuzzy control system demonstrated a very low error rate of 0.93%, ensuring precise decision-making. The Laravel-based web application successfully displayed and recorded monitoring data with only a 1–2 second delay, providing a user-friendly interface for farmers. Overall, the system effectively improves aquaculture productivity and reduces the risk of fish mortality by offering automated and accurate water quality management.
Analysis of Non-Performing Loans at PT Bank BRI Tbk (2019–2023) Musadat, Irfan Achmad; Putra, Okta Eka; Kusumawardhani, Aninditha Putri
Operations Research: International Conference Series Vol. 6 No. 3 (2025): Operations Research: International Conference Series (ORICS)
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v6i3.400

Abstract

This study aims to analyze the Non-Performing Loan (NPL) ratio of PT Bank BRI Tbk during the 2019–2023 period by applying a descriptive approach combined with horizontal financial analysis. The research relies on secondary data obtained from the bank’s published financial statements on the Indonesia Stock Exchange (IDX). The analysis focuses on NPL as a key indicator of credit risk without exploring causal relationships among variables. The findings show that Bank BRI’s NPL ratio remained below the regulatory threshold of 5% set by Bank Indonesia, indicating that the bank was in a relatively stable condition. However, annual fluctuations highlight the importance of strengthening credit risk management, particularly in periods of economic uncertainty and aggressive credit expansion. The results emphasize that while the overall performance remains within a safe limit, proactive strategies are required to sustain long-term credit quality.
Implementation of Inclusive Closed Loop in Improving Production Efficiency and Sustainability Endarwan, Hendy; Rasyid, Aliy; Etwanto, Gary Putra
Operations Research: International Conference Series Vol. 6 No. 3 (2025): Operations Research: International Conference Series (ORICS)
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v6i3.401

Abstract

Amidst increasing external pressures related to sustainability, such as international regulations, stakeholder expectations, and global consumer demands, the rubber industry is required to develop internal strategies that are not only operationally efficient but also adaptive to the transformation towards environmentally friendly production and supply chain practices. This study aims to analyze the implementation of an inclusive closed-loop supply chain as a strategic approach for companies to integrate production efficiency, waste reduction, and respond to institutional pressures for sustainability. The novelty of this study lies in the integration of an inclusive closed-loop approach that goes beyond the traditional concept of recycling, prioritizing the active participation of all internal actors (production, procurement, sustainability) and strengthening cross-functional relationships within the organization as the basis for the transition to a green supply chain. This research is built on a combined theoretical framework: the Natural Resource-Based View (NRBV) to explain internal capabilities in creating a competitive advantage based on sustainable resources; Institutional Theory to identify the influence of external pressures on organizational behavior; and Stakeholder Theory to explore the dynamics of expectations and the involvement of key actors in the value chain. The method used is a quantitative explanatory approach, with data collection through a survey of managers at rubber processing companies in Indonesia. Data were analyzed using Structural Equation Modeling - Partial Least Squares (SEM-PLS) to examine the relationships between inclusive closed-loop dimensions, operational efficiency, green supply chains, and companies' strategic adaptation to sustainability pressures. The expected results indicate that inclusive closed-loop supply chains contribute significantly to achieving operational efficiency and waste reduction, while strengthening companies' capabilities in building environmentally friendly supply chains and production processes. These findings are expected to provide theoretical contributions to the development of resource- and institutional-based sustainability strategies, as well as practical implications for companies responding to global challenges through inclusive and sustainable business model transformations.

Page 13 of 13 | Total Record : 125

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