Raid, Irfan Muktasim (2025) Analisis Risiko Proyek Pembangunan Radar Cuaca Untuk Maritime Meteorological System Menggunakan Metode FMEA. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Radar cuaca adalah alat yang paling efektif dalam memonitor potensi ancaman cuaca ekstrem dengan kemampuannya memonitor perkembangan cuaca secara real time. Untuk meningkatkan akurasi pengamatan maritim serta prediksi cuaca dan lautan, maka dibutuhkan radar cuaca yang dibangun sedekat mungkin dengan area yang akan diamati. Terdapat lima lokasi proyek pembangunan radar cuaca untuk Maritime Meteorological System ini, yaitu di Tanjung Pandan, Tanjung Pinang, Saumlaki, Cilacap dan Labuan Bajo. Manajemen risiko menjadi hal yang paling krusial dalam proyek, rendahnya penerapan analisis risiko dapat menjadi penghambat dalam pelaksanaan proyek tersebut. Penelitian ini bertujuan untuk mengidentifikasi, menganalisis, dan merekomendasikan respons terhadap risiko yang akan muncul dalam proyek tersebut. Penelitian ini menggunakan pendekatan Failure Mode and Effect Analysis (FMEA) untuk menganalisis risiko proyek pembangunan radar cuaca untuk Maritime Meteorological System oleh PT JKL. Namun, pada penelitian ini hanya berfokus pada empat lokasi remote yaitu, Tanjung Pandan, Tanjung Pinang, Saumlaki, dan Labuan Bajo. Hasil dari penelitian diperoleh sebanyak 13 risiko dengan tingkat tinggi (kesalahan perencanaan pelaksanaan proyek, kesalahan menghitung harga pokok proyek, fluktuasi kurs, kenaikan harga barang/material, keterlambatan pengiriman barang/material, penerapan K3L, faktor lingkungan eksternal, quality control and quality assurance, ketersediaan akses ke lokasi pembangunan, sertifikasi izin frekuensi radar, anggaran perawatan/purna jual/masa garansi, ketersediaan suku cadang pengganti, dan audit pelaksanaan oleh badan penegak hukum) dan 3 risiko dengan tingkat sedang (kurang koordinasi antar bagian, ketersediaan area lifting, dan denda keterlambatan penyelesaian pekerjaan). Risiko yang termasuk kritis dengan nilai Risk Priority Number (RPN) terbesar berdasarkan severity, occurrence, dan detection antara lain, ketersediaan suku cadang pengganti (304,15), kenaikan harga barang/material (296,8), dan fluktuasi kurs (268,45). Respons risiko dilakukan dengan cara focus group discussion dengan hasil yang paling banyak dilakukan adalah mengurangi sebanyak 10 variabel risiko (kenaikan harga barang/material, keterlambatan pengiriman barang/material, ketersediaan area lifting, penerapan K3L, faktor lingkungan eksternal, quality control and quality assurance, ketersediaan akses ke lokasi pembangunan, sertifikasi izin frekuensi radar, anggaran perawatan/purna jual/masa garansi, dan ketersediaan suku cadang pengganti), menghindari sebanyak 5 variabel risiko (kesalahan perencanaan pelaksanaan proyek, kesalahan menghitung harga pokok proyek, kurang koordinasi antar bagian, denda keterlambatan penyelesaian pekerjaan, dan audit pelaksanaan oleh badan penegak hukum), dan menerima sebanyak 1 variabel risiko (fluktuasi kurs). Adapun residual risiko yang telah dilakukan respons dan dicarikan cara pengendaliannya diperoleh hasil sebanyak 2 variabel risiko tetap berada di tingkat tinggi (fluktuasi kurs dan ketersediaan suku cadang pengganti), 8 variabel risiko di tingkat sedang (kesalahan menghitung harga pokok proyek, kenaikan harga barang/material, keterlambatan pengiriman barang/material, ketersediaan area lifting, faktor lingkungan eksternal, ketersediaan akses ke lokasi pembangunan, anggaran perawatan/purna jual/masa garansi, dan audit pelaksanaan oleh badan penegak hukum), dan 6 risiko berada di tingkat rendah (kesalahan perencanaan pelaksanaan proyek, kurang koordinasi antar bagian, penerapan K3L, quality control and quality assurance, sertifikasi izin frekuensi radar, dan denda keterlambatan penyelesaian pekerjaan). Penelitian ini dapat menjadi referensi bagi PT JKL dalam meningkatkan kualitas, mengurangi kerugian, dan meningkatkan profit dalam proyek pembangunan radar cuaca. Manajemen perlu memberikan dukungan penuh berupa kebijakan manajemen atau regulasi untuk memastikan keberhasilan dari implementasi implikasi manajerial serta harus memberikan dukungan nyata berupa sumber daya yang memadai seperti dana, waktu dan personel.
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Weather radar is the most effective tool for monitoring potential threats of extreme weather conditions, with its ability to monitor weather developments in real time. To improve the accuracy of maritime observations and marine weather forecasts, weather radars need to be installed as close as possible to the observed areas. Five locations have been identified for the construction of weather radars under the Maritime Meteorological System: Tanjung Pandan, Tanjung Pinang, Saumlaki, Cilacap, and Labuan Bajo. Risk management is the most crucial thing in the project. Insufficient risk analysis can impede project execution. This research aims to identify, analyze, and recommend responses to potential project risks. A Failure Mode and Effect Analysis (FMEA) approach was employed to assess the risks associated with PT JKL weather radar construction project for the Maritime Meteorological System. However, this research only focuses on four remote locations, which are Tanjung Pandan, Tanjung Pinang, Saumlaki, and Labuan Bajo. The analysis revealed 13 high risk (errors in project implementation planning, errors in calculating the project cost, exchange rate fluctuations, increases in the price of goods/materials, delays in delivery of goods/materials, implementation of K3L, external environmental factors, quality control and quality assurance, availability of access to the construction site, radar frequency permit certification, maintenance/after-sales/warranty period budget, availability of replacement spare parts, and implementation audits by law enforcement agencies) and 3 moderate-level risks (lack of coordination between sections, availability of lifting areas, and fines for late completion of work). Critical risks with the highest Risk Priority Number (RPN) based on severity, occurrence, and detection, include the availability of replacement spare parts (304,15), increases in the price of goods/materials (296,8), and exchange rate fluctuations (268,45). Risk response was carried out by means of focus group discussions with the most common results being reducing as many as 10 risk variables (increase in the price of goods/materials, delay in delivery of goods/materials, availability of lifting areas, implementation of K3L, external environmental factors, quality control and quality assurance, availability of access to the construction site, radar frequency permit certification, maintenance/after-sales/warranty period budget, and availability of replacement spare parts), avoiding as many as 5 risk variables (errors in project implementation planning, errors in calculating the cost of the project, lack of coordination between departments, fines for late completion of work, and implementation audits by law enforcement agencies), and accepting as many as 1 risk variable (exchange rate fluctuations). The residual risks that have been responded to and sought for control methods have resulted in 2 risk variables remaining at a high level (exchange rate fluctuations and availability of replacement spare parts), 8 risk variables at a moderate level (errors in calculating the project cost price, increases in the price of goods/materials, delays in delivery of goods/materials, availability of lifting areas, external environmental factors, availability of access to the construction site, maintenance/after-sales/warranty period budget, and implementation audits by law enforcement agencies), and 6 risks at a low level (errors in project implementation planning, lack of coordination between departments, implementation of K3L, quality control and quality assurance, radar frequency permit certification, and fines for late completion of work). This research can serve as a valuable reference for PT JKL to improving project quality, reducing losses, and increasing profits in the weather radar construction projects. Management needs to provide full support in the form of management policies or regulations to ensure the success of the implementation of managerial implications and must provide real support in the form of adequate resources such as money, time and personnel.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Analisis Risiko, Radar Cuaca, Manajemen Proyek, Failure Mode Effect Analysis, Risk Analysis, Weather Radar, Project Management |
| Subjects: | T Technology > T Technology (General) > T174.5 Technology--Risk assessment. 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: | Irfan Muktasim Raid |
| Date Deposited: | 20 Jan 2025 01:50 |
| Last Modified: | 20 Jan 2025 01:50 |
| URI: | http://repository.its.ac.id/id/eprint/116410 |
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