{
    "success": true,
    "data": {
        "id": 1694244,
        "msgid": "inaugurated-as-professor-this-academic-introduces-decision-making-concept-in-the-ai-era-1776862258",
        "date": "2026-04-22 19:21:12",
        "title": "Inaugurated as Professor, This Academic Introduces Decision-Making Concept in the AI Era",
        "author": "A.Syalaby Ichsan",
        "source": "REPUBLIKA",
        "tags": "",
        "topic": "Technology",
        "summary": "BINUS University has inaugurated Prof Tuga Mauritsius as a permanent professor in Decision Support Systems, focusing on data-based and analytical model development amid rapid advancements in analytics and AI technologies. In his inaugural lecture, Prof Tuga highlighted the gap between data insights and actionable decisions, proposing a new generation of DSS that integrates machine learning for predictions, scenario analysis for future possibilities, and system dynamics for policy impact simulation. This approach aims to evolve decision-making from reactive predictions to prescriptive recommendations, enhancing long-term policy understanding in complex systems.",
        "content": "<p>Amid the rapid development of analytics technology and artificial\nintelligence, many organisations still face a fundamental challenge: how\nto translate data-based insights into precise and impactful decisions.\nAs predictive capabilities become increasingly sophisticated, the\ndecision-making process does not always become more certain. To address\nthis challenge, BINUS University has reaffirmed its commitment to\nscientific development through the inauguration of a professor. The\nuniversity inaugurated Prof Tuga Mauritsius, MSi., PhD., as a permanent\nprofessor in the field of Decision Support Systems (DSS), which focuses\non developing data-based decision support systems and analytical models.\nIn his scientific oration titled \u201cA New Generation of Decision Support\nSystem: Integrating Machine Learning, Scenario Analysis, and System\nDynamics\u201d, Prof Tuga highlighted that current decision-making systems\nstill face a gap between insights and actions. He explained that\nalthough technologies like machine learning can produce predictions with\nhigh accuracy, many organisations still struggle to translate those\nresults into real strategic decisions. In this context, conventional DSS\napproaches are deemed still reactive and limited to descriptive\nanalysis, without being able to systematically guide optimal and\nimpactful decisions. As a solution, Tuga introduced the concept of a New\nGeneration DSS that integrates three main approaches: predictive\nanalytics through machine learning, scenario analysis to anticipate\nvarious future possibilities, and system dynamics to simulate policy\nimpacts in complex systems. This approach is designed to form a more\ncomprehensive decision-making flow, from prediction to prescriptive\npolicy recommendations. Furthermore, he emphasised that the integration\nof these three elements not only improves the quality of analysis but\nalso strengthens the decision-makers\u2019 ability to understand the\nlong-term consequences of each policy. Thus, the system no longer stops\nat \u201cwhat will happen\u201d, but evolves into \u201cwhat should be done\u201d in various\npossible scenarios.<\/p>",
        "url": "https:\/\/jawawa.id\/newsitem\/inaugurated-as-professor-this-academic-introduces-decision-making-concept-in-the-ai-era-1776862258",
        "image": ""
    },
    "sponsor": "Okusi Associates",
    "sponsor_url": "https:\/\/okusiassociates.com"
}