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Wiwik Handayani
Program Studi Magister Ilmu Lingkungan, Universitas Diponegoro Semarang Jalan Imam Bardjo, SH No. 5 Semarang 65145
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Other

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Journal : Management Analysis Journal

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Analysis of Construction Risk Using Markov Decision Process and Reinforcement Learning Prasetyo, Restu Wijang; Handayani, Wiwik
Management Analysis Journal Vol. 14 No. 2 (2025): Management Analysis Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/maj.v14i2.27324

Abstract

Recognizing the critical need for advanced risk management in the rapidly expanding construction sector, this study aims to analyze and optimize construction risk mitigation strategies at a prominent Indonesian housing developer, enhancing project time efficiency and reducing decision-making uncertainty. The research methodology employs a quantitative descriptive approach, utilizing Markov Decision Process to model project risk dynamics and Reinforcement Learning, specifically the Q-Learning algorithm, to determine optimal mitigation policies. Data collection involved direct observation, in-depth interviews with project management, and analysis of historical project documentation from a housing project. Research findings demonstrate that the Q-Learning model effectively identifies and recommends adaptive mitigation strategies for various risk levels, providing optimal actions that significantly reduce project delays. The implementation of these data-driven strategies resulted in a notable improvement in project time efficiency, reducing the average project duration. Reproducibility, convergence, and sensitivity tests further validate the model's reliability and robustness, confirming its capacity to provide consistent and stable recommendations under diverse conditions.
Co-Authors A Halim A. F, Nasywa Roudhotul Ahmad Haris Hasanuddin Slamet Ahmad MAULANA Ahmad Rudijanto Al-Nur, Widya Rahmawati Anhar, Hutama Muhammad Ariyanto, M. Idris Arumsari, Alif Gita Asri Widyasanti Basrowi Basrowi, Basrowi Brilliantina, Aulia Budiati, Titik Chintia Viranda Damastutik, Nandaryani Dewi, Syahra Nakita Dharmawan, Tedy Dian Pitaloka Priasmoro, Dian Pitaloka Dwi Suhartini Eka Askafi Elok Kurnia Novita Sari Fadjrin, Yuan Wikani Fajar Irawan, Fajar Fauzi, Indra Nur Hariyanti, Yesi Indah Dwi Kusuma Haryanto, Albertus Eka Putra Hernowo, Pandit Hotman Jamhari Jamhari Kamisutara, Made Kumalasari, Anisa Tri Kurnia, Mirza Aji Kusumaningsih, Intan Kusumasari, Findi Citra Luky Susilowati Maharani, Septia Dwi Mandasari, Virginia Mariolah, Mareta Salsa Mentari Clara Dewanti, Mentari Clara Mohammad Rasjad Indra Murjana, Lilik Musnaini Nadendra, Ditto Novita Sari , Elok Kurnia Nur Fauzi, Indra Nurhayati, Nina Oktavia, Ade Ririn Oryza Ardhiarisca Perdana, Devtian Putera Permana, Galih Pertiwi, Questy Mega Prameswari, Nur Shadrina Prasetyo, Restu Wijang Pratama, Rafie Putri, Resti Pranata Rachmawati, Putri Indah Rahmaniah, Nur Aini Resnamurti, Dhanang Revika, Nadya Reza Rivayanti, Tesa Putri Rizza Wijaya Romadhona, Mahimma Santoso, Marsha Natania Silvia Oktavia Nur Yudiastuti Sri Mulyaningsih Sulastri Irbayuni, Sulastri Suryaningsih, Fania Damayanti Syifani, Sheni Nahla Tandriajeng, Tsabita Chaerunisa Toyyiba, Syakira Jiddan Tri Yogo Wibowo Tutik Winarsih Utomo, Djanika Reski Wahyu B Setianto, Wahyu B Widayati, Wiludjeng Yossi Wibisono Yossi, Wibisono YUNI ASRI, YUNI Yuningsih Yuningsih Yuniningsih Yuniningsih