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Faktor-Faktor yang Memengaruhi Pemilihan Metode Decommissioning Platform Lepas Pantai Zahra Wardana; Tri Joko Wahyu Adi
Racic : Rab Construction Research Vol. 11 No. 1 (2026): JUNI
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/racic.v11i1.6592

Abstract

Offshore platform decommissioning represents the final stage in the life cycle of oil and gas infrastructure, characterized by complexity, high risk, and substantial costs. The selection of decommissioning methods, such as complete removal, partial removal, and toppling, requires careful consideration of various technical, logistical, financial, risk-related, and environmental factors. This study aims to identify the factors influencing offshore platform decommissioning method selection and analyze the relationships among these factors using a dependency matrix approach based on assessments by five offshore experts. The findings identified nine significant factors influencing method selection. The results of this research provide a foundational framework for developing a more systematic, contextual, and practical decision-making approach for offshore platform decommissioning activities in Indonesia
Nonlinear EVM Based on Support Vector Regression Growth Model for Predicting Project Completion Time Tri Joko Wahyu Adi; Arif Abadil Ghullam
Jurnal Sosial Humaniora Vol 15 No 1 (2022)
Publisher : Direktorat Riset dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24433527.v15i1.11268

Abstract

Earned Value Management (EVM) is a method used to monitor and to predictproject completion time. This method uses a linear approach in predictingproject time completion. Unfortunately, most of the projects run in dynamicenvironments with complex characteristics, causing project progress torequire a non-linear approach. That is why the use of EVM in monitoring andpredicting non-linear project completion time is less effective. This studyproposes a more realistic alternative approach using non-Linear EVM basedon the Support Vector Regression (SVR) - Growth Model. The SVR-growthmodel is used to accommodate the non-linear progress of the project, while theEVM is used to represent the predicted results of the project completion time.For model validation, 5 data on oil and gas field development constructionprojects in Jawa, Bali and Nusa Tenggara Regions were used as case studies.The results of this study indicate that the results of project completion timeprediction using the SVR-Growth Model provide high accuracy and precisioncompared to the traditional EVM method.
Pengembangan Kerangka Double Closed-Loop BIM-AR untuk Inspeksi Operasional Sistem Plumbing Dica rosmyanto; Tri Joko Wahyu Adi; Aryma Yudi
JURNAL DAKTILITAS Vol. 6 No. 1 (2026): JUNI 2026
Publisher : PROGRAM STUDI TEKNIK SIPIL FAKULTAS TEKNIK UNIVERSITAS TULUNGAGUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36563/5x1gb668

Abstract

Inspeksi pemeliharaan bangunan masih menghadapi kendala ketika jalur plumbing berada pada area tersembunyi, seperti plafon, shaft, dinding, atau ruang servis. Penelitian ini mengembangkan kerangka double closed-loop BIM-AR untuk inspeksi operasional sistem plumbing air bersih dan air kotor pada Gedung C Politeknik Astra. Metode penelitian menggunakan pendekatan kuantitatif eksperimental dengan membandingkan inspeksi visual eksisting dan inspeksi berbantuan BIM-AR pada objek yang sama. Data diperoleh melalui observasi lapangan, wawancara petugas inspeksi, dan time-motion study, kemudian dianalisis menggunakan statistik deskriptif dan uji paired sample t-test. Kerangka yang dikembangkan terdiri dari operational loop dan managerial loop yang saling terhubung melalui umpan balik. Hasil penelitian menunjukkan bahwa BIM-AR menurunkan total waktu inspeksi dari 225 menit menjadi 95 menit atau sebesar 57,78%. Rata-rata akurasi identifikasi meningkat dari 54,75% menjadi 100,00%, sedangkan biaya operasional inspeksi menurun dari Rp140.625 menjadi Rp59.375. Hasil uji statistik menunjukkan perbedaan signifikan pada waktu, akurasi, dan biaya operasional dengan p-value kurang dari 0,05. Meskipun membutuhkan investasi awal sebesar Rp59.300.000, BIM-AR memiliki manfaat strategis untuk penerapan berulang dan lebih luas melalui pembaruan AIM, prioritas pemeliharaan, rekomendasi perbaikan, dan pengambilan keputusan berbasis data.
Improving Productivity and Operational Efficiency in Overburden Removal at a Nickel Mine Using a Lean Six Sigma Integration Approach Nisar Rafii Ananta Muhammad; Tri Joko Wahyu Adi
Journal of Social Research Vol. 5 No. 9 (2026): Journal of Social Research
Publisher : International Journal Labs (AHU-0028405-AH.01.14 Tahun 2022)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i9.3364

Abstract

The increasing global demand for nickel, driven by the rapid expansion of electric vehicle battery production and the clean energy transition, has intensified the need for highly efficient mining operations. Overburden removal represents a critical stage in nickel mining because its productivity directly affects ore extraction continuity and overall operational performance. However, PT X, a nickel mining contractor in Southeast Sulawesi, has consistently failed to achieve its overburden productivity target of 280 BCM/hour, resulting in increased operational costs and substantial financial losses. This study aimed to improve productivity and operational efficiency in overburden removal by integrating the Lean Six Sigma approach with the DMAIC framework, Failure Mode and Effects Analysis (FMEA), and Fault Tree Analysis (FTA). A mixed-method case study approach was employed using operational data collected from January 2024 to July 2025, supplemented by field observations and Focus Group Discussions (FGDs). The findings showed that 51.4% of total productivity losses were attributed to controllable delays. FMEA identified Repair Front (RPN = 400), Repair Disposal/Dumping Point (RPN = 200), and Road Maintenance (RPN = 144) as the highest-priority risks, while FTA traced these failures to deficiencies in operational supervision, equipment availability, quarry material supply, and geotechnical conditions. Improvement strategies developed through FGDs included optimizing equipment allocation, strengthening preventive maintenance practices, improving drainage systems, enhancing supervisory procedures, and reinforcing cross-functional coordination. Economic evaluation indicated that the proposed mitigation strategies were feasible, producing a Benefit-Cost Ratio (BCR) of 1.53. The integration of Lean Six Sigma, FMEA, and FTA provided a systematic and sustainable framework for reducing operational waste, minimizing process variation, and improving productivity in nickel mining operations.
A Multicriteria Decision-Making Model Based on the Integration of AHP and Bayesian Decision Trees for Selecting a Method for Replacing Submarine Pipes Retsa Anugrah Menteng; Tri Joko Wahyu Adi
Journal of Social Research Vol. 5 No. 9 (2026): Journal of Social Research
Publisher : International Journal Labs (AHU-0028405-AH.01.14 Tahun 2022)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i9.3366

Abstract

The X–Y Platform subsea pipeline owned by PT PHE OSES has been operating beyond its design life and has experienced significant degradation, as evidenced by 17 leakage incidents and the installation of nine repair clamps over the past five years. This condition requires strategic asset management decisions that consider not only costs but also technical and safety risks. This study aimed to develop a hybrid decision-making model integrating the Analytic Hierarchy Process (AHP) and the Bayesian Decision Tree (BDT) to determine the optimal pipeline replacement method. In this model, AHP was used to determine the priority weights of five main criteria: Cost, Health, Safety, Security, and Environment (HSSE), Technical, Flow Assurance, and Integrity. Subsequently, the BDT method was applied to combine these weights with historical failure probability data and posterior probability updates to calculate the utility values of four decision alternatives: Full Replacement, Segmented Replacement, Localized Repair, and Do Nothing. The results showed that the Integrity criterion received the highest priority weight (34%). Based on the posterior Expected Utility (EU) evaluation, Full Replacement was identified as the optimal alternative, with the highest EU value of 60.55, outperforming Segmented Replacement (52.23), Localized Repair (43.99), and Do Nothing (30.54). This integrated model provides objective technical recommendations to support management decision-making in effectively mitigating operational risks associated with subsea pipelines under conditions of uncertainty.
Risk-Based Time Contingency Analysis for Hospital Building Construction Projects Using the Pert (Program Evaluation and Review Technique) Method Almira Nabila Ardi; Tri Joko Wahyu Adi
Journal of Social Research Vol. 5 No. 9 (2026): Journal of Social Research
Publisher : International Journal Labs (AHU-0028405-AH.01.14 Tahun 2022)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i9.3397

Abstract

Hospital construction projects involve high technical complexity, multidisciplinary coordination, and uncertainty, which can increase the risk of schedule delays. This study aimed to develop a risk-based time contingency analysis using the Program Evaluation and Review Technique (PERT) to improve schedule reliability for the Central Medical Building project at HVA Toeloengredjo Hospital, Kediri. This applied quantitative study used primary data obtained from interviews, questionnaires, and observations, supported by secondary data, including the work breakdown structure, project schedules, cost plans, and progress reports. Optimistic, most likely, and pessimistic activity durations were validated by experts, while activity relationships and critical paths were analyzed using the Precedence Diagram Method (PDM) and PERT. The results showed that the existing deterministic schedule of 335 days had only a 10.34% probability of timely completion, whereas PERT estimated an expected project duration of 356.17 days with a standard deviation of 16.77 days. Architectural, reinforced concrete, plumbing, medical gas, and water utility works contributed significantly to schedule uncertainty. Achieving completion probabilities of 80% and 90% required approximately 14 and 21 additional contingency days, resulting in total project durations of approximately 370 and 378 days, respectively. The findings demonstrated that risk-based PERT provides a more realistic and adaptive scheduling framework for mitigating delay risks in complex hospital construction projects.
Model Penilaian Bahaya Konstruksi Berbasis Linguistik: Pengembangan Construction Project Hazard Index (CPHI) Iqbal Prasetya Barrelvi; Tri Joko Wahyu Adi
Jurnal Locus Penelitian dan Pengabdian Vol. 5 No. 9 (2026): JURNAL LOCUS: Penelitian dan Pengabdian (Issue in Progres)
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v5i9.6231

Abstract

Industri konstruksi minyak dan gas memiliki tingkat bahaya tinggi akibat kompleksitas pekerjaan multidisiplin, sistem proses, penggunaan alat berat, dan kondisi lapangan yang dinamis. Penilaian berbasis matriks risiko konvensional belum mampu merepresentasikan profil bahaya proyek secara hierarkis dan menyeluruh. Penelitian ini bertujuan mengembangkan dan mengevaluasi Construction Project Hazard Index (CPHI) sebagai model penilaian bahaya berbasis linguistik pada proyek konstruksi migas. Penelitian kuantitatif dengan pendekatan pengembangan model ini mengidentifikasi delapan komponen dan 24 atribut bahaya, kemudian menerapkannya pada Proyek EPF X di Sumatera Selatan. Tiga pemangku kepentingan menilai severity dan frequency setiap atribut. Penilaian linguistik dikonversi menggunakan Trapezoidal Fuzzy Number dan Fuzzy Risk Index, dibobotkan melalui Analytical Hierarchy Process, lalu diagregasi dengan Choquet fuzzy integral dalam kerangka Multi-Criteria Decision Making. Hasil menunjukkan nilai CPHI sebesar 0,5373 dalam kategori tinggi. Process and System Complexity memberikan kontribusi terbesar, sedangkan metode pelaksanaan dan ketidaksesuaian prosedur kerja memiliki nilai risiko atribut tertinggi sebesar 0,7144. Validasi expert judgment menghasilkan skor rata-rata 4,70 atau sangat valid. Analisis sensitivitas menunjukkan model stabil terhadap perubahan bobot global hingga ±10%, meskipun paling sensitif terhadap komponen Process and System Complexity. Disimpulkan bahwa CPHI layak digunakan sebagai alat penilaian untuk memprioritaskan pengendalian bahaya, inspeksi, dan alokasi sumber daya keselamatan pada proyek konstruksi migas.