Studi literatur : hambatan dan peluang dalam manajemen konstruksi bangunan. Temukan hambatan & peluang manajemen konstruksi bangunan. Teknologi digital (BIM, AI) tawarkan efisiensi. Atasi biaya & keterlambatan dengan manajemen risiko, teknologi, dan kolaborasi.
Manajemen konstruksi adalah disiplin yang melibatkan perencanaan, koordinasi, dan pengawasan proyek konstruksi dari awal hingga selesai, dengan tujuan memastikan proyek selesai sesuai anggaran, waktu, dan standar kualitas yang ditetapkan. Penelitian ini bertujuan untuk mengidentifikasi hambatan dan peluang dalam manajemen konstruksi bangunan. Melalui studi literatur dan pendekatan naratif, penelitian ini menemukan bahwa teknologi digital, seperti Building Information Modeling (BIM) dan Kecerdasan Buatan (AI), memiliki potensi untuk meningkatkan efisiensi dan produktivitas di industri ini. Hambatan utama yang dihadapi termasuk pembengkakan biaya dan keterlambatan, yang dapat diatasi dengan manajemen risiko yang efektif, adopsi teknologi canggih, serta peningkatan kolaborasi dan keterampilan tenaga kerja. Penerapan strategi-strategi ini diharapkan dapat mendorong inovasi dan meningkatkan efisiensi sektor konstruksi secara keseluruhan, yang akan berkontribusi pada pertumbuhan dan keberlanjutan di masa depan.
This literature review, titled "STUDI LITERATUR: HAMBATAN DAN PELUANG DALAM MANAJEMEN KONSTRUKSI BANGUNAN," effectively addresses a critical and timely subject within the construction industry. The paper's stated objective is to identify key challenges and opportunities in construction project management, a discipline crucial for ensuring projects are delivered on time, within budget, and to specified quality standards. Utilizing a literature review and narrative approach, the authors highlight the transformative potential of digital technologies such as Building Information Modeling (BIM) and Artificial Intelligence (AI) for enhancing efficiency and productivity. Concurrently, the study pinpoints persistent hurdles like cost overruns and delays, proposing solutions through effective risk management, advanced technology adoption, and improved collaboration and workforce skills. The paper makes a valuable contribution by synthesizing existing knowledge on the multifaceted landscape of construction management. Its strength lies in clearly articulating the dual nature of the current industry environment: significant challenges that impede project success juxtaposed with powerful technological advancements that offer viable pathways for overcoming these obstacles. The identification of specific digital tools like BIM and AI provides actionable insights for practitioners, while the emphasis on risk management, skill development, and collaboration underscores the holistic approach required for sustainable improvement. This consolidation of information serves as a useful reference point for both academics and industry professionals seeking to understand the current state and future trajectory of construction management practices. While the literature review effectively compiles existing insights, its narrative approach, by nature, offers a synthesis rather than a deep empirical investigation. To build upon this foundational work, future research could benefit from more specific and robust methodologies. For instance, empirical studies employing quantitative analysis to measure the actual impact of BIM and AI adoption on project performance, or case studies illustrating successful implementation strategies, would significantly strengthen the findings. Furthermore, exploring the socio-technical challenges associated with technology adoption, such as resistance to change or the specific training required for workforce upskilling, could provide richer context. Such follow-up research would validate the opportunities identified and offer more granular solutions for addressing the persistent hurdles in the construction sector.
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