Analisis Risiko Pelaksanaan Konstruksi Infrastruktur Ketenagalistrikan Studi Kasus: Gistet 500 KV PAITON

Kuncoro, Fahmi (2025) Analisis Risiko Pelaksanaan Konstruksi Infrastruktur Ketenagalistrikan Studi Kasus: Gistet 500 KV PAITON. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Dalam rangka memenuhi kebutuhan listrik masyarakat di Indonesia, pemerintah menugaskan PT. PLN (Persero) untuk melaksanakan konstruksi infrastruktur ketenagalistrikan dimana salah satunya adalah Gardu Induk Saluran Tegangan Tinggi (GISTET) 500 kV Paiton. Tujuan dari proyek ini adalah untuk mengantisipasi pertumbuhan listrik di Pulau Bali dengan menyalurkan pasokan energi murah dari pembangkit listrik berskala besar di Sistem Jawa. Dengan mempertimbangan durasi pelaksanaan, permasalahan sosial, teknis, dan kompleksitas pekerjaan, maka diperlukan analisis risiko pelaksanaan konstruksi yang tepat agar proyek selesai sesuai dengan waktu, biaya, dan mutu yang dipersyaratkan di dalam kontrak. Penelitian ini dilaksanakan untuk mengidentifikasi risiko yang muncul dalam pelaksanaan konstruksi, melakukan analisis risiko dan memberikan alternatif perlakuan risiko yang dinilai paling optimal untuk risiko dominan. Adapun standar manajemen risiko yang digunakan adalah SNI 8615:2018 yang mengacu pada ISO 31000:2018. Pada penelitian ini, diperoleh 38 risiko relevan melalui kuesioner delphi technique, kemudian dengan analisis kualitatif menggunakan Consequence/Probability Matrix, diperoleh 10 risiko dominan yang masuk dalam katagori tinggi, sangat tinggi, dan ekstrem yang ditindaklanjuti dengan Analisis Kuantitatif dengan menghitung nilai Expected Monetary Value (EMV). Selanjutnya dengan diagram Decision Tree Analysis (DTA) akan diperoleh beberapa cabang alternatif perlakuan risiko yang kemudian dianalisis dan diperoleh pilihan perlakuan risiko yang. paling optimal. Setelah itu, untuk mengukur sejauh mana perlakuan risiko efektif dalam menurunkan tingkat kemungkinan dan skala dampak, langkah yang dilakukan adalah mengukur residual risk dan terakhir adalah mencatat seluruh proses Analisis Risiko kedalam Risk Register. Ketiga risiko dengan nilai dampak EMV tertinggi berikut perlakuan risiko yang dinilai paling optimal adalah sebagai berikut: (1) Waktu pelaksanaan proyek tidak sesuai dengan jadwal proyek, dengan perlakuan risiko Implementasi BIM (Building Information Modelling); (2) Kinerja kontraktor kurang optimal, dengan perlakuan risiko penambahan konsultan supervisi yang memiliki keahlian pada bidang project management; dan (3) Keterlambatan kedatangan/mobilisasi material yang akan dipasang dengan perlakuan risiko rapat konsinyering berkala terkait dengan percepatan approval material dan monitoring kedatangan material.
Kata Kunci: Delphi Technique, Expected Monetary Value, Decision Tree Analysis, Perlakuan Risiko, Residual Risk, Risk Register
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To meet electricity needs of the Indonesian population, the government has assigned PT. PLN (Persero) to carry out the construction of electrictity infrastructure, including Paiton 500 kV Extra High-Voltage Gas-Insulated Switchgear (GISTET). This project aims to anticipate electricity growth of Bali Island by transmitting low-cost energy from large-scale power plants in Java. Considering the project duration, social and technical issues, and the complexity of work, it is necessary to conduct appropriate risk analysis for the GISTET 500 kV Paiton project to ensure the project is completed within the time, cost, and quality based on contract requirement. The study was carried out to identify risks that arise during construction implementation, conduct risk analysis, and provide the most optimal risk treatments for the extreme, very high, and high-risk categories. The risk management standard reference in the research is SNI 8615:2018, which align with ISO 31000:2018. Using the Delphi Technique questionnaire, 38 relevant risks were identified. Through qualitative risk analysis using Consequence/Probability Matrix, 10 domintant risk were classified as high, very high, and extreme. These were further analysed quantitatively by calculating their Expected Monetary Value (EMV). Subsequently, using Decision Tree Analysis, several alternative risk treatments were derived, analyzed, and the most optimal treatment was selected. Afterward, to measure the effectiveness of risk treatment in reducing the likelihood and scale of impact, the step taken was to measure the residual risk. Finally, the entire risk analysis process was documented in the Risk Register. The three risks with the highest EMV impact values and their corresponding optimal risk treatments are as follows: (1) Project execution time not aligning with the project schedule, can be addressed by implementing BIM (Building Information Modelling); (2) Suboptimal contractor performance, can be addressed by adding consultant supervision with expertise in project management; and (3) Delays in the arrival or mobilization of materials, can be resolved by regular consignment meetings focused on accelerating material approvals and closely monitoring their arrivals.
Keywords: Delphi Technique, Expected Monetary Value, Decision Tree Analysis, Risk Treatments, Residual Risk, Risk Register

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Delphi Technique, Expected Monetary Value, Decision Tree, Analysis, Perlakuan Risiko, Residual Risk, Risk Register Delphi Technique, Expected Monetary Value, Decision Tree Analysis, Risk Treatments, Residual Risk, Risk Register
Subjects:	T Technology > T Technology (General) > T56.8 Project Management
Divisions:	Interdisciplinary School of Management and Technology (SIMT) > 61101-Master of Technology Management (MMT)
Depositing User:	Fahmi Kuncoro
Date Deposited:	02 Feb 2025 04:02
Last Modified:	02 Feb 2025 04:02
URI:	http://repository.its.ac.id/id/eprint/117667

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