Kurnianto, Pradetya (2026) Penilaian Kapabilitas Galangan Kapal Dan Optimasi Alokasi Docking Repair Armada Tanker Dan Gas Carrier Menggunakan Integrasi Ahp, Promethee Ii, Dan Integer Linear Programming: Studi Kasus Pt Pertamina International Shipping. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Docking repair merupakan kegiatan pemeliharaan wajib yang berpengaruh langsung terhadap kelaiklautan kapal, keandalan operasi, biaya siklus hidup aset, dan kesinambungan distribusi energi. Pada armada tanker dan gas carrier, kompleksitas docking repair meningkat akibat karakteristik muatan berisiko tinggi, sistem kapal yang kompleks, persyaratan klasifikasi, keterbatasan kapasitas dok, serta variasi kapabilitas galangan. Penelitian ini bertujuan mengembangkan kerangka penilaian kapabilitas galangan kapal dan model alokasi docking repair yang objektif, terukur, dan dapat diaudit bagi armada PT Pertamina International Shipping (PT PIS). Metode penelitian mengintegrasikan Analytic Hierarchy Process (AHP), PROMETHEE II, uji sensitivitas lokal dan global (Saltelli et al., 2008), serta Integer Linear Programming (ILP) secara sekuensial. AHP membobotkan 7 kriteria utama dan 32 sub-kriteria berdasarkan penilaian 8 responden pakar, dengan seluruh Consistency Ratio di bawah 0,10 (CR kriteria utama sebesar 0,0078). PROMETHEE II menghasilkan pemeringkatan lengkap 13 galangan (dikodekan G01–G13) dari matriks kinerja berdimensi 13 × 32. Robustitas peringkat diuji melalui Weight Stability Intervals dan Walking Weights (lokal) serta simulasi Monte Carlo 10.000 iterasi (global), yang kemudian menjadi masukan model ILP untuk mengalokasikan 60 kapal pada horizon Januari 2026 hingga Juli 2028 di bawah sembilan batasan operasional (B1–B9): penugasan tunggal, kapasitas dok, kesesuaian teknis, kesesuaian jadwal, anggaran total dan tahunan, serta monotonisitas prioritas. Hasil AHP menempatkan bobot tertinggi pada Kapasitas Teknis (22,78 persen), Kapabilitas Operasional (20,64 persen), dan Aspek Finansial–Komersial (14,48 persen). PROMETHEE II membentuk struktur tiga tier (6/2/5) dengan G01 sebagai galangan teratas (φ = +0,3369) hingga G09 terendah (φ = −0,2348); validasi silang menggunakan Visual PROMETHEE menghasilkan peringkat identik dengan deviasi rata-rata |Δφ| sebesar 0,0002. Uji global memberikan nilai Kendall τ rata-rata 0,864; komposisi Tier 1 tetap utuh pada 96,60 persen iterasi, dan seluruh galangan Tier 1 (100 persen) mempertahankan modal rank yang identik dengan baseline. Model ILP dengan 780 variabel biner dan 9 batasan (K1–K9) mencapai solusi optimal Z* = 42,48, mengalokasikan 52, 3, dan 5 kapal berturut-turut ke Tier 1, Tier 2, dan Tier 3, dengan realisasi anggaran Rp 466,22 miliar atau 99,87 persen dari pagu Rp 466,82 miliar. Penelitian ini menyediakan kerangka pengambilan keputusan terintegrasi yang objektif, robust, dan replikatif bagi perencanaan docking repair pada manajemen armada tanker dan gas carrier
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Docking repair is a mandatory maintenance activity that directly affects vessel seaworthiness, operational reliability, asset life-cycle cost, and the continuity of energy distribution. For tanker and gas carrier fleets, its complexity is amplified by high-risk cargo, complex ship systems, classification requirements, limited dock
capacity, and heterogeneous shipyard capability. This study develops an objective, measurable, and auditable framework for assessing shipyard capability and allocating docking repair work for the fleet of PT Pertamina International Shipping (PT PIS). The methodology sequentially integrates the Analytic Hierarchy Process (AHP), PROMETHEE II, local and global sensitivity analysis (Saltelli et al., 2008), and Integer Linear Programming (ILP). AHP weights seven main criteria and thirty-two sub-criteria from the judgements of eight expert respondents, with all Consistency Ratios below 0.10 (main-criteria CR = 0.0078). PROMETHEE II produces a complete ranking of thirteen anonymised shipyards (coded G01–G13) from a 13 × 32 performance matrix. Ranking robustness is examined through Weight Stability Intervals and Walking Weights (local) and a 10,000-iteration Monte Carlo simulation (global), which then feed an ILP model that allocates sixty vessels over the January 2026–July 2028 horizon under nine operational constraints (B1–B9): single assignment, dock capacity, technical suitability, schedule compatibility, total and annual budgets, and priority monotonicity. The AHP results assign the highest weights to Technical Capacity (22.78 per cent), Operational Capability (20.64 per cent), and Financial–Commercial Aspects (14.48 per cent).PROMETHEE II forms a three-tier structure (6/2/5), led by G01 (φ = +0.3369) and closed by G09 (φ = −0.2348); Visual PROMETHEE cross-validation yields an identical ranking with a mean absolute net-flow deviation |Δφ| of 0.0002. Global testing gives a mean Kendall's τ of 0.864; the Tier 1 composition remains intact in 96.60 per cent of iterations, and all Tier 1 shipyards (100 per cent) retain a modal rank identical to the baseline. The ILP model, comprising 780 binary variables and 9 constraint (K1–K9), attains the optimal solution Z* = 42.48, allocating 52, 3, and 5 vessels to Tiers 1, 2, and 3 respectively, with a realised budget of IDR 466.22 billion, equivalent to 99.87 per cent of the IDR 466.82 billion ceiling. This study contributes a replicable, robust, and integrated decision-making framework for docking repair planning in tanker and gas carrier fleet management.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Docking Repair; penilaian kapabilitas galangan; Multi-Criteria Decision Making; Analytic Hierarchy Process; PROMETHEE II; Integer Linear Programming docking repair; shipyard capability assessment; multi-criteria decision making; Analytic Hierarchy Process; PROMETHEE II; Integer Linear Programming |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Faculty of Marine Technology (MARTECH) > Naval Architecture and Shipbuilding Engineering > 36101-(S2) Master Thesis |
| Depositing User: | Pradetya Kurnianto |
| Date Deposited: | 01 Aug 2026 07:40 |
| Last Modified: | 01 Aug 2026 07:40 |
| URI: | http://repository.its.ac.id/id/eprint/142915 |
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