Arung, Arnold (2026) Model Optimasi Konsolidasi Hot dan Cold Maintenance untuk Peningkatan Keandalan Operasional PLTMG Ambon Peaker pada Sistem Kelistrikan Terisolasi. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
PLTMG Ambon Peaker memiliki peran strategis dalam menjaga keandalan sistem kelistrikan terisolasi, sehingga perencanaan pemeliharaan perlu dilakukan secara terstruktur agar tidak menimbulkan outage berulang, downtime berlebih, dan pembebanan resource yang tidak terkendali. Permasalahan utama dalam penelitian ini adalah belum optimalnya konsolidasi pekerjaan Hot Maintenance dan Cold Maintenance, khususnya dalam menentukan pekerjaan yang dapat dilakukan tanpa shutdown, pekerjaan yang perlu dikonsolidasikan dalam Planned Outage, serta pekerjaan yang memerlukan validasi teknis lanjutan. Penelitian ini bertujuan mengembangkan model optimasi konsolidasi Hot Maintenance dan Cold Maintenance untuk mendukung peningkatan keandalan operasional PLTMG Ambon Peaker. Metode yang digunakan adalah Binary Integer Programming (BIP). Model menggunakan variabel keputusan biner untuk menentukan setiap work order ke dalam kategori Hot Maintenance, Cold Maintenance, Planned Outage Package, atau FGD Review. Skoring risiko, dampak keandalan, kelayakan Hot, dan urgensi pekerjaan digunakan sebagai parameter input, bukan sebagai parameter utama pengambilan keputusan. Berdasarkan hasil model optimasi, dari 60 work order diperoleh 31 WO Hot Maintenance, 24 WO Cold Maintenance yang seluruhnya dikonsolidasikan ke dalam Planned Outage Package, dan 5 WO FGD Review. Konsolidasi tersebut membentuk 7 paket (event) final Planned Outage. Hasil skenario optimasi menunjukkan frekuensi outage turun dari 60 menjadi 7 event, total downtime turun dari 557 jam menjadi 207 jam, dan total biaya turun dari Rp3.255 juta menjadi Rp2.440,9 juta, dengan potensi efisiensi biaya sebesar Rp814,1 juta. Resource loading digunakan sebagai analisis sensitivitas kelayakan implementasi hasil model terhadap kapasitas sumber daya. PO1 Mechanical berstatus Review karena memerlukan validasi kapasitas mekanik, bukan sebagai kegagalan model. Dampak terhadap EAF, FOR, MTBF, dan MTTR diposisikan sebagai estimasi skenario pasca-optimasi, bukan output langsung model optimasi. Berdasarkan skenario tersebut, EAF diproyeksikan meningkat dari 81,50% menjadi 87,88%, FOR turun dari 2,55% menjadi 2,37%, MTBF meningkat dari 840 jam menjadi 905,7 jam, sedangkan MTTR tidak berubah (tetap 22 jam) karena model tidak memengaruhi proses pemulihan kegagalan tak terencana. Kontribusi utama penelitian ini adalah menyediakan model decision-support berbasis optimasi matematis yang lebih terukur, transparan, dan dapat diaudit untuk perencanaan konsolidasi pemeliharaan pembangkit.
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PLTMG Ambon Peaker plays a strategic role in maintaining the reliability of an isolated power system. Maintenance planning must therefore be structured to prevent repeated outages, excessive downtime, and uncontrolled resource loading. The main problem addressed in this study is the suboptimal consolidation of Hot Maintenance and Cold Maintenance activities, particularly in determining which tasks can be performed without shutdown, which should be consolidated into Planned Outage Packages, and which require technical validation through Focus Group Discussion (FGD) Review. This study aims to develop an optimization model for consolidating Hot Maintenance and Cold Maintenance to support the improvement of the operational reliability of PLTMG Ambon Peaker. The method used is Binary Integer Programming (BIP), in which binary decision variables assign each work order into one of four categories: Hot Maintenance, Cold Maintenance, Planned Outage Package, or FGD Review. Risk score, reliability impact, Hot Maintenance eligibility, and work urgency serve as model input parameters rather than primary decision criteria, with the final assignment decisions determined by the optimization model. Of the 60 work orders analyzed, 31 were assigned to Hot Maintenance, 24 work orders to Cold Maintenance (all consolidated into Planned Outage Packages), and 5 assigned to FGD Review. The consolidation forms seven final Planned Outage Packages (events). This scenario reduces outage frequency from 60 to 7 events, total downtime from 557 to 207 hours, and total cost from IDR 3,255 million to IDR 2,440.9 million (a potential efficiency of IDR 814.1 million). Resource loading serves as an implementation-feasibility sensitivity analysis to assess whether the model results can be implemented against available resource capacity; the PO1 Mechanical package's Review status indicates the need to validate mechanical resource capacity, rather than model infeasibility. As post-optimization scenario estimates (not direct model outputs), EAF is projected to increase from 81.50% to 87.88%, FOR to decrease from 2.55% to 2.37%, and MTBF to increase from 840 to 905.7 hours, while MTTR remains unchanged at 22 hours because the model does not affect the recovery process of unplanned failures. The main contribution is a mathematical optimization-based decision-support model that is more measurable, transparent, and auditable for power plant maintenance consolidation planning.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | PLTMG Ambon Peaker, Hot Maintenance, Cold Maintenance, Binary Integer Programming, Planned Outage, Resource Loading, EAF, FOR, MTBF, MTTR, PLTMG Ambon Peaker, Hot Maintenance, Cold Maintenance, Binary Integer Programming, Planned Outage, Resource Loading, EAF, FOR, MTBF, MTTR. |
| Subjects: | T Technology > T Technology (General) > T57.74 Linear programming T Technology > TJ Mechanical engineering and machinery > TJ174 Maintenance and repair of machinery |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26101-(S2) Master Thesis |
| Depositing User: | Arnold Arung |
| Date Deposited: | 04 Aug 2026 03:06 |
| Last Modified: | 04 Aug 2026 03:06 |
| URI: | http://repository.its.ac.id/id/eprint/141565 |
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- Model Optimasi Konsolidasi Hot dan Cold Maintenance untuk Peningkatan Keandalan Operasional PLTMG Ambon Peaker pada Sistem Kelistrikan Terisolasi. (deposited 04 Aug 2026 03:06) [Currently Displayed]
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