1,720,976 research outputs found
Impact of overbooking reservation mechanism on container terminal's operational performance and greenhouse gas emissions
No full textTruck appointment systems facilitate coordination between container terminals and drayage trucks in container pick-up operation reservation. However, in many cases, trucks with a reservation do not arrive at the scheduled appointment. As the number of no-shows increases, the container terminal's productivity will plummet, and drayage trucks that failed to get reservations will lose their opportunity to get service. This research proposes an overbooking reservation mechanism (ORM) to alleviate the negative impact of these no-shows. This research scrutinizes the detailed process mapping of the existing reservation mechanism, proposes an ORM, and conducts agent-based simulations to evaluate the ORM's performance against the regular and go-show reservation mechanisms at different levels of no-shows and working occupancies. The application of an ORM can improve productivity and service levels while minimizing such negative externalities as queue length, overtime, and greenhouse gas emissions. High overtime intensities only appear when the container terminal's workload is exceptionally high, at 200% of maximum capacity, with a low level of no-shows. Even in exceptionally high demand conditions, the drayage trucks wait only up to 16 min before receiving service
Warehouse Specification Proposition for Urbanis (Urban Farming Company) Using Discrete Event Simulation Method
Full text linkTwo percent of the world's surface use for cities, yet it consumes 75 percent of its resources. Urban farming is an emerging alternative food network that could supply some of the food needs in cities with less emission, healthier food, and the environment. Urbanis is a company that likes to contribute to the acceleration of urban farming, especially in Indonesia, by utilizing vacant land and labor. In 2021, Urbanis plans to scale up the production capacity to 10 tonnes per month or 400 kg per day. It requires us to have a warehouse to store the food product that has not been absorbed by the market. The purpose of this study is to find warehouse specifications for Urbanis and the amount of labor and rack inside the warehouse alongside capital and operational expenditure. This research uses a layout with an area of 5x14 meters for experimental design. The model then translated into a discrete-event simulation model named Anylogic. The results show, for each amount of arrival, the number of labor that utilizes effectively are two labors with a maximum number of rack 50. Given these results, the author conducted operational and capital expenditure, which consist of variable analysis and additional variables such as a table, fan, and chair. The result is Urbanis need Rp 50.738.000 for capital expenditure while Rp 10.871.337 for operational expenditure
Industry 5.0 Research in the Sustainable Information Systems Sector: A Scoping Review Analysis
Full text linkIndustry 4.0, centered on cyber-physical production systems, has been criticized for prioritizing profit over social and environmental concerns. In contrast, Industry 5.0 emphasizes AI efficiency while promoting human-centric, resilient, and sustainable approaches, integrating economic, social, and environmental systems. Previous research has often focused solely on conceptual frameworks and technologies, overlooking Industry 5.0\u27s sector-specific impacts. This study addresses that gap by conducting a scoping review to map research findings, identify trends, and highlight knowledge gaps and future research opportunities. By systematically analyzing literature from the Scopus database (2016-present), the study refined a large dataset to focus on Industry 5.0\u27s relevance. The analysis revealed significant attention to sectors like Industry and Producer Services, while Agriculture and Retail, particularly natural resource-based sectors like agriculture and fisheries, are often neglected. Key findings indicate that Industry 5.0 is likely to be driven by the industrial sector, followed by product services and financial industries. The study also highlights the strong connection between IoT and AI in optimizing operations with real-time data and automation and identifies blockchain as a promising technology for enhancing transparency and security, despite existing implementation challenges. This research not only serves as a foundational record of Industry 5.0\u27s implications across various sectors but also provides valuable insights into its role in Information Systems (IS). It lays the groundwork for future exploration of Industry 5.0 in diverse sectors and industries
STRATEGIC DECISION MAKING FOR BUSINESS DEVELOPMENT AND PROFIT OPTIMIZATION USING THE ANALYTICAL HIERARCHY PROCESS: THE CASE OF KLINIK PRATAMA SINDANG SARI
Full text linkHealth is important for the well-being of the community, and basic clinics are important places for people in Indonesia to get health treatment. Klinik Pratama Sindang Sari has been committed to providing great service since it opened in 1997. In 2024, it received "Paripurna" (excellent) accreditation. Even though the clinic knows this, it still has trouble being financially stable, mostly because it relies heavily on BPJS capitation, which makes up 80% of its income. Rising costs of doing business and not enough variety make it even harder for it to earn profit. This study looks into ways for Klinik Pratama Sindang Sari to build its business in a smart way that will help its finances. The study uses Value-Focused Thinking (VFT), the Analytic Hierarchy Process (AHP), Stakeholder Analysis, Focus Group Discussions, and the Kepner-Tregoe Problem Analysis to find and rank alternative service innovations. The Analytic Hierarchy Process (AHP) is very important for judging four proposed strategies: Vaccine Service Implementation; Dental Aesthetic Care; Corporate Health Screening Cooperation; and BPJS Capitation Optimization. It does this by looking at factors like cost, regulation, market demand, profit potential, and implementation challenges
ENHANCING CREDIT SCORING PREDICTION IN ISLAMIC BANKING WITH RANDOM FOREST MACHINE LEARNING MODEL : THE ROLE OF MARITAL STATUS
Full text linkThis study explores the application of machine learning techniques, particularly the Random Forest algorithm, to predict default risk in Islamic consumer financing, with a specific focus on marital status as a key demographic factor. Conducted in the context of Islamic banking in Indonesia where ethical compliance and prudent risk assessment are critical the research examines whether incorporating marital status can improve credit risk classification. Utilizing historical financing data from an Islamic bank, the study addresses three central research questions: (1) How accurate is the Random Forest model in predicting default risk when marital status is considered? (2) How effective is the Random Forest algorithm in identifying default risk for Islamic consumer financing based on marital status? (3) What marital status related factors significantly influence the performance of the Random Forest model in this context? The methodology involves standard machine learning procedures, including data preprocessing, categorical feature encoding, and model evaluation using confusion matrices and classification metrics. Feature importance analysis is also conducted to identify influential variables. This research contributes to the emerging synergy between Islamic finance and artificial intelligence, demonstrating how demographic factors such as marital status can enhance Sharia-compliant credit risk assessments in modern Islamic banking systems.Penelitian ini mengeksplorasi penerapan teknik machine learning, khususnya algoritma Random Forest, untuk memprediksi risiko gagal bayar dalam pembiayaan konsumen Islam, dengan fokus khusus pada status pernikahan sebagai faktor demografis utama. Penelitian ini dilakukan dalam konteks perbankan syariah di Indonesia di mana kepatuhan terhadap prinsip etika dan penilaian risiko yang cermat sangat krusial. Penelitian ini mengevaluasi apakah integrasi status pernikahan dapat meningkatkan klasifikasi risiko kredit. Dengan menggunakan data pembiayaan historis dari sebuah bank syariah, studi ini menjawab tiga pertanyaan penelitian utama: (1) Seberapa akurat model Random Forest dalam memprediksi risiko gagal bayar dengan mempertimbangkan status pernikahan? (2) Seberapa efektif algoritma Random Forest dalam mengidentifikasi risiko gagal bayar pada pembiayaan konsumen syariah berdasarkan status pernikahan? (3) Faktor-faktor terkait status pernikahan apa yang secara signifikan memengaruhi kinerja model Random Forest dalam konteks ini? Metodologi yang digunakan mencakup prosedur standar machine learning, termasuk pra-pemrosesan data, pengkodean fitur kategorikal, dan evaluasi model melalui confusion matrix serta metrik klasifikasi. Analisis pentingnya fitur juga dilakukan untuk mengidentifikasi variabel yang berpengaruh. Penelitian ini memberikan kontribusi terhadap sinergi yang berkembang antara keuangan syariah dan kecerdasan buatan, dengan menunjukkan bagaimana faktor demografis seperti status pernikahan dapat meningkatkan penilaian risiko kredit yang sesuai dengan prinsip syariah dalam sistem perbankan Islam modern
A Value-Driven Approach to Software Project Prioritization: Integrating AHP and Value-Focused Thinking in a Messaging Service Firm
Full text linkAs requests for development projects grow, a real-life messaging service firm faces increasing challenges in objectively prioritizing initiatives due to limited developer capacity and a high number of concurrent projects. These issues have resulted in inefficient resource allocation, delayed timelines, and declining customer satisfaction, exacerbated by unclear and unstructured project selection methods. This study proposes an integrated decision-making framework that combines the Analytical Hierarchy Process (AHP), stakeholder analysis, and Value-Focused Thinking (VFT) to address the firm’s prioritization challenges. AHP structures the decision criteria and evaluates project alternatives based on their relative importance, stakeholder analysis identifies key decision-makers and their influence, and VFT ensures alignment with organizational values and strategic goals. To uncover underlying issues and stakeholder expectations, the study employs Problem Tree Analysis, structured interviews, and questionnaires. Four typical sub-project alternatives—Custom Projects, New Features, Bug Fixing, and Optimization—are assessed against four criteria: Cost, Quality, Functionality, and Client Satisfaction. The study concludes with an implementation roadmap and actionable recommendations to improve the firm’s project selection and prioritization process
Determining the best alternative to build and operate a new coal crushing facilities: Analytical hierarchy process approach
No full textPurpose: This study examines the increase in national coal production in Indonesia and its impact on PT. KLM is one of the largest coal producers in the country. With rising production and shifting global market needs, this study aims to analyze the necessity of building a new Coal Crushing Facility next to the South Pinang Extension #2 area, including evaluating costs and the best strategies for its implementation.
Methods: The research methodology involves analyzing problem trees and stakeholders to uncover business complexities and identify the root causes of issues. Qualitative data were collected using semi-structured interviews. All alternatives were evaluated using Value-Focused Thinking (VFT), and the Analytic Hierarchy Process (AHP) method was employed to determine the best alternative assisted by the Super Decision application.
Results: Based on interviews conducted with subject matter experts (SMEs) and the analysis, three funding solutions were identified: 1. owned by self-financing, and 2. Own by Leasing 3. Rental Scheme.
Limitations: The limitations of this study are that it was sourced from an internal company and gathered from outside the company. An alternative option was produced based on extensive collaborative discussions and interview sessions conducted with subject matter experts within the company.
Contributions: This study provides valuable guidelines for selecting alternative financing to build and operate new coal crushing facilities at South Pinang Extension #2
Adoption Drivers of Digital Platform for Coal Production Planning: an Extended UTAUT Model Using PLS-SEM Analysis
Full text linkIn 2022, the coal production industry encountered unprecedented challenges accompanied by a substantial global commodity price surge. The operational impact of this situation surpasses current technological capabilities of coal companies, particularly in optimizing coal blending scenarios. A pivotal aspect of digital transformation involves integration of new digital platform for production planning. This study employs the Unified Theory of Acceptance and Use of Technology in conjunction with decision theory to identify key factors influencing the platform adoption at a coal mining company. Structured questionnaires were utilized, followed by analysis using the SmartPLS 4.0.9.9 software. Findings reveal that both Performance Expectancy and Effort Expectancy positively influence users’ behavioral intention to adopt digital platform for production planning. Behavioral Intention, in turn, significantly impacts actual usage behavior. Unanticipated situational factors and others\u27 attitudes were found to have negligible mediating effects, while variables such as age and experience showed no moderating influence on the pathways from behavioral intention to usage behavior. Companies are advised to improve digital platform performance through functionalities enhancements and pilot testing to reduce perceived effort and stimulate behavioral intention. Additionally, fostering a positive organizational mindset through routine motivational communications can further stimulate usage behavior
Connecting the dots. Effectuation and lean startup
No full textAccelerated progress in digitalization calls for more entrepreneurial thinking and venturing in an uncertain and fast changing environment. This applies not only to startups but also to established companies. In both cases, entrepreneurial thinking and behavior helps to develop future business opportunities with benefits for new products and business model innovation. Entrepreneurial teachings such as effectuation and the lean startup methodology have significantly improved the tool kit for entrepreneurs in recent years. This paper seeks to combine these two research streams in order to examine how additional insights can be gained in practice at the example of an integrated e-healthcare system in Switzerland. In times of ageing societies where rising health care costs are met by limited resources, digitalized processes can reap significant benefits. Developing digitalized diagnostic solutions – with the help of entrepreneurial effectuation and the lean startup methodology – will enable cost-efficient ho
Yard Cranes Coordination Schemes for Automated Container Terminals: An Agent-based Approach
No full textAbstractAs the global container traffic continuously rises, container terminals are eager to improve their operation. To increase the efficiency and the service level of the landside containers’ pick-up operation, improving the yard cranes’ coordination schemes can be an option. In this study, we propose three schemes, (i.e. the market-based scheme, the zonal 1-1 scheme, and the zonal scheme 1-2 scheme) for coordinating multiple Rubber-Tyred Gantry (RTG) yard cranes. Using agent based simulation, we evaluate the performance of the proposed coordination alternatives by assessing the trucks’ waiting time, the RTGs’ utilization, and the RTGs’ fuel consumption values
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