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Penilaian Risiko Proyek Konstruksi Menggunakan Metode Fuzzy Sugeno: Studi Kasus Infrastruktur Perkotaan Almuntofa Purwantoro; Niko Panangian Malau; Rudi Waluyo
Rekayasa Vol 19, No 1: January - April 2026
Publisher : Universitas Trunodjoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v19i1.34064

Abstract

Proyek konstruksi memiliki tingkat ketidakpastian yang tinggi sehingga berpotensi menimbulkan risiko yang memengaruhi waktu, biaya, dan mutu pelaksanaan proyek. Analisis risiko diperlukan untuk mengetahui tingkat risiko serta menentukan respon penanganan yang tepat pada proyek pembangunan Ruang Terbuka Hijau (RTH), Jembatan Penyeberangan Orang (JPO), dan tempat parkir di Kawasan Bundaran Besar Palangka Raya. Penelitian ini bertujuan untuk mengidentifikasi risiko, menilai tingkat risiko menggunakan metode Fuzzy Inference System (FIS) Sugeno, serta menganalisis respon risiko pada proyek tersebut. Kontribusi penelitian ini adalah penerapan metode Fuzzy Sugeno untuk menghasilkan penilaian risiko yang lebih sistematis dan terukur pada proyek infrastruktur perkotaan. Pengumpulan data dilakukan melalui penyebaran kuesioner kepada enam responden ahli. Hasil penelitian menunjukkan bahwa terdapat 31 risiko yang teridentifikasi, dengan tingkat risiko terdiri atas 7 risiko kategori rendah, 17 risiko kategori sedang, 4 risiko kategori tinggi, dan 3 risiko kategori sangat tinggi. Berdasarkan tingkat risiko tersebut, dilakukan respon risiko terhadap risiko dominan melalui peningkatan pengawasan, review desain, dan koordinasi proyek guna mengurangi dampak risiko terhadap pelaksanaan proyek konstruksi.
Permodelan Struktur Bawah Basement Ruang Terbuka Hijau Menggunakan Metode Building Information Modeling Anaknda Fauzan Syahrani Duna; Almuntofa Purwantoro
Jurnal Basement : Jurnal Teknik Sipil Vol. 4 No. 1 (2026): Jurnal Basement : Jurnal Teknik Sipil
Publisher : Program Studi Teknik Sipil Fakultas Teknik Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36873/basement.v4i1.25304

Abstract

The rapid development of the construction industry demands innovation in planning methods that can improve effectiveness and efficiency in project delivery. The increasing complexity of construction projects requires planners to adopt systems capable of managing information accurately and in a well-coordinated manner. However, in practice planners still rely on conventional 2D-based methods, which have the potential to cause inefficiencies and errors during project execution. Along with technological advancements, Building Information Modelling (BIM) has emerged as a method considered effective and efficient in the planning process. BIM-based modeling is capable of producing integrated 3D visualizations and providing detailed and accurate information related to building elements compared to conventional methods. The objective of this study is to develop a model of the substructure, including basement walls, basement slabs, and pile caps, for the Green Open Space (RTH) project at Ex Koni, Palangka Raya City. The design method applied in this research is based on Building Information Modelling using Autodesk Revit software. The data used in this study are secondary data in the form of Detail Engineering Design (DED). The results of this study indicate that the application of BIM produces a substructure model along with detailed information presented in an integrated 3D model.
Analisis Risiko Keterlambatan Pada Proyek Pembangunan Gedung Rusun 3 Lantai Kogabwilhan II Valentino Gracia Lumban Tobing; Almuntofa Purwantoro
Jurnal Basement : Jurnal Teknik Sipil Vol. 4 No. 1 (2026): Jurnal Basement : Jurnal Teknik Sipil
Publisher : Program Studi Teknik Sipil Fakultas Teknik Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36873/basement.v4i1.25313

Abstract

reduced work quality. Previous studies have generally been descriptive and have not quantitatively and comprehensively modeled duration uncertainty. This study aims to analyze delay risk by evaluating the probability of project completion and identifying the activities that most significantly influence delays. The case study was conducted on the construction project of the TNI Kogabwilhan II Flats in Balikpapan. The methods used include the Critical Path Method (CPM) to determine the critical path, Earned Value Management (EVM) to estimate the remaining duration based on actual progress, and Monte Carlo simulation to obtain the probability distribution of project duration. Sensitivity analysis is used to identify dominant activities and formulate appropriate mitigation strategies. The results show that the number of critical activities decreased from 67 to 37, with an estimated remaining project duration of 198 days. Under the highest deviation scenario, the P50 duration is 199.206 days and the P90 duration is 201.245 days. Roof slab work is identified as the most influential factor, while fast tracking is effective for non-structural activities such as practical columns.