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Paksi Pujianto
Abstrak :
ABSTRAK
Analisis risiko dan evaluasi risiko pada fasilitas industri gas digunakan untuk mengidentifikasi faktor-faktor risiko yang dapat berdampak pada aspek keselamatan, pencemaran lingkungan, finansial dan reputasi perusahaan. Demikian juga pada fasilitas Liquid to Compressed Natural Gas (LCNG Station), analisis risiko dan evaluasi risiko harus dikaji dan dievaluasi secara kontinyu untuk mengetahui apakah level resiko masih berada pada tingkat yang aman atau tidak, serta digunakan sebagai acuan dalam menentukan langkah-langkah mitigasi risiko secara efektif dan tepat sasaran. Penelitian ini melakukan kajian analisis risiko pada fasilitas operasi LCNG Station dengan menggunakan metode Analisis Risiko Semi Kuantitatif (SQRA) untuk mengetahui faktor-faktor risiko dan mengevaluasi risiko pada fasilitas operasi LCNG Station menggunakan perangkat lunak Crystall Ball. Penentuan faktor-faktor risiko mengacu pada data sekunder LCNG Station dan merujuk pada standar internasional sebagai data pendukung dalam penelitian ini. Perhitungan nilai risiko dilakukan dengan menjabarkan faktor-faktor risiko kedalam kriteria likelihood dan consequence yang dirangking dari nilai skala 1 sampai 5 sesuai dengan Matriks risiko skala 5 x 5. Hasil perhitungan nilai risiko menggunakan perangkat lunak Crystall ball menunjukkan bahwa nilai resiko fasilitas operasi LCNG Station masih berada dalam level "low risk" dan acceptable.
ABSTRACT
Risk analysis and Risk evaluation on industrial facilities is used to see the risk value and the risk level that may impact on worker safety, environmental pollution, operating facilities, financial, and company credibility. Thus, risk analysis and risk evaluation on LCNG Station operating facilities must be assessed and evaluated continuously to know whether the risk level is at a safe level or not, and to determine strategic steps to be taken to reduce the critical risk effectively. This study conducted a risk analysis study on LCNG Station operating facilities using the Semi Quantitative Risk Assessment (SQRA) method to determine risk factors and evaluate the risk level of LCNG Station operating facilities using Crystall Ball software. Determination of risk factors using secondary data of LCNG Station and international standards as supporting data that used in this study. Risk value calculation is carried out by describing risk factors into Likelihood and Consequence criteria that be ranked from ​​1 to 5 values using a 5 x 5 scale Risk Matrix. The results of risk value calculation and Crystall ball simulation show that the risk value on LCNG Station operating facilities is at the level of "low risk" and "acceptable" category.
Depok: Fakultas Teknik Universitas Indonesia, 2020
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UI - Tesis Membership  Universitas Indonesia Library
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Rahmadani Arnur
Abstrak :
[ABSTRAK
Risiko kebakaran dan ledakan mengakibatkan kerugian terhadap keselamatan pekerja, pencemaran lingkungan, kerusakan perangkat kerja dan kredibilitas perusahaan. Fasilitas gas memiliki risiko kebakaran dan ledakan karena natural gas merupakan highly flammable dari campuran metana (utama : 70-90%), etana dan sedikit senyawa lain. Oleh karena itu, sebagai dasar upaya pencegahan dan pengendalian terhadap konsekuensi yang ditimbulkan dari risiko kebakaran dan ledakan dengan menurunkan dampak/konsekuensi ketingkat yang bisa diterima (aceptable level) pada fasilitas pengolahan gas (separation system, gas processing system dan fuel gas system), diperlukan analisis semi-kuantitatif risiko kebakaran dan ledakan.

Teknik yang digunakan adalah melakukan analisis data sekunder (studi HAZID, studi HAZOP, Bow-tie Analysis dan simulasi PHAST). Hasil penelitian ini sebagai dasar upaya mengetahui faktor-faktor dominan yang menyebabkan kejadian kebakaran dan ledakan pada fasilitas pengolahan gas. Dari hasil simulasi crystal ball didapat total forecast memiliki angka 4.30 dimana jika dilihat di matriks resiko maka berada dilevel medium risk yang berati bahwa fasilitas pengolahan gas termasuk katagori risiko masih dapat diterima. Untuk sensitivity, perubahan tekanan (16.0%), perubahan suhu (15.9%) dan kelebihan tekanan (15.8%) merupakan faktor yang paling sensitif terhadap perubahan dibandingkan faktor-faktor lainnya. Selain itu, dapat membantu dalam menentukan rekomendasi yang tepat untuk diterapkan pada fasilitas pengolahan gas tersebut.
ABSTRACT
Risk of fire and explosion resulted in the loss of the worker safety, environmental pollution, damage to the work and credibility of the company. Gas facility has a risk of fire and explosion because natural gas is a highly flammable mixture of methane (major: 70-90%), ethane and a bit of other compounds. Therefore, as a basis for prevention and control of the consequences arising from the risk of fire and explosion by reducing the impact / consequences to the level that can be accepted (aceptable level) with a precise cost on gas processing facilities (separation systems, gas processing system and fuel gas system), a semiquantitative analysis is required the risk of fire and explosion.

The technique used is to conduct a secondary data analysis (HAZID and HAZOP studies, Bow-tie Analysis and PHAST simulation). The results of this study as a basis for efforts to determine the dominant factors that cause the occurrence of fire and explosion at a gas processing facility. From the simulation results obtained crystal ball that total forecast has the number 4.30 which when seen in the risk matrix was at medium risk which means that the gas processing facility including the safe category/tolerable risk. For sensitivity, pressure changes (16.0%), themperature changes (15.9%) and excess pressure (15.8%), are the factors that are most sensitive to change than other factors. In addition, it can assist in determining the appropriate recommendations to be applied to the gas processing facility.;Risk of fire and explosion resulted in the loss of the worker safety, environmental pollution, damage to the work and credibility of the company. Gas facility has a risk of fire and explosion because natural gas is a highly flammable mixture of methane (major: 70-90%), ethane and a bit of other compounds. Therefore, as a basis for prevention and control of the consequences arising from the risk of fire and explosion by reducing the impact / consequences to the level that can be accepted (aceptable level) with a precise cost on gas processing facilities (separation systems, gas processing system and fuel gas system), a semiquantitative analysis is required the risk of fire and explosion. The technique used is to conduct a secondary data analysis (HAZID and HAZOP studies, Bow-tie Analysis and PHAST simulation). The results of this study as a basis for efforts to determine the dominant factors that cause the occurrence of fire and explosion at a gas processing facility. From the simulation results obtained crystal ball that total forecast has the number 4.30 which when seen in the risk matrix was at medium risk which means that the gas processing facility including the safe category/tolerable risk. For sensitivity, pressure changes (16.0%), themperature changes (15.9%) and excess pressure (15.8%), are the factors that are most sensitive to change than other factors. In addition, it can assist in determining the appropriate recommendations to be applied to the gas processing facility., Risk of fire and explosion resulted in the loss of the worker safety, environmental pollution, damage to the work and credibility of the company. Gas facility has a risk of fire and explosion because natural gas is a highly flammable mixture of methane (major: 70-90%), ethane and a bit of other compounds. Therefore, as a basis for prevention and control of the consequences arising from the risk of fire and explosion by reducing the impact / consequences to the level that can be accepted (aceptable level) with a precise cost on gas processing facilities (separation systems, gas processing system and fuel gas system), a semiquantitative analysis is required the risk of fire and explosion. The technique used is to conduct a secondary data analysis (HAZID and HAZOP studies, Bow-tie Analysis and PHAST simulation). The results of this study as a basis for efforts to determine the dominant factors that cause the occurrence of fire and explosion at a gas processing facility. From the simulation results obtained crystal ball that total forecast has the number 4.30 which when seen in the risk matrix was at medium risk which means that the gas processing facility including the safe category/tolerable risk. For sensitivity, pressure changes (16.0%), themperature changes (15.9%) and excess pressure (15.8%), are the factors that are most sensitive to change than other factors. In addition, it can assist in determining the appropriate recommendations to be applied to the gas processing facility.]
2014
T-43402
UI - Tesis Membership  Universitas Indonesia Library
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Mufliha Qonita
Abstrak :
Saat ini pemerintah sedang mengadakan peningkatan pertumbuhan ekonomi melalui pembangunan infrastruktur di Indonesia. Namun adanya hambatan pada pendanaan menjadi masalah utama sehingga, pemerintah mengeluarkan kebijakan terkait KPBU agar masalah dana dapat tertutupi. Proyek Kereta Api Makassar-Parepare termasuk salah satu proyek dengan skema pembiayaan KPBU dan merupakan proyek pertama di provinsi Sulawesi Selatan dalam menerapkan skema pembiayaan ini. Dengan adanya KPBU ini tujuan dari pemerintah untuk percepatan penyediaan infrastruktur diharapkan dapat tercapai. Namun pada kenyataanya proyek-proyek dengan skema pembiayaan KPBU banyak mengalami hambatan dan menyebabkan penerapan dari prosesnya menjadi tidak efektif dan efisien dan hal ini menyebabkan risiko yang akan merugikan pihak pemerintah dan pihak badan usaha. Penelitian ini bertujuan untuk mengidentifikasi, menganalisis, menentukan risiko paling kritikal, serta memberikan strategi/rekomendasi pada proses penerapan KPBU. Dengan menggunakan bantuan sistem terkomputerisasi malalui program Crystall Ball. Hasil pada penelitian ini ditemukan bahwa dari 18 variabel risiko, sebanyak 8 varibel risiko yang teridentifikasi risiko kritikal. Risiko kritikal tersebut dapat mempengaruhi kinerja investasi. Dari 8 varibel risiko kritikal, ditentukan stratgei/mitigasi risiko-risiko tersebut yang dapat meningkatkan kinerja investasi. Selain itu juga ditentukan alokasi risikonya. ...... Currently the government is carrying out an increase in economic growth through infrastructure development in Indonesia. However, the existence of obstacles in funding is the main problem so that the government issues policies related to PPPs so that funding problems can be covered. The Makassar-Parepare Railway Project is one of the projects with a PPP financing scheme and is the first project in South Sulawesi province to implement this financing scheme. With this PPP, the government's goal of accelerating the provision of infrastructure is expected to be achieved. However, projects with PPP financing schemes experience many obstacles and cause the implementation of the process to be ineffective and inefficient and this creates risks that will harm the government and private sector. This reseach aims to identify, analyze, determine the most critical risks, and provide strategies/recommendations in the PPP implementation process. By using the help of a computerized system through the Crystall Ball program. This research is expected to improve investment performance not only in the Makassar-Parepare Railway project but also for all projects that implementing the PPP scheme. The results of this study found that from 18 risk variables, 8 risk variables were identified as critical risk. This critical risk can affect investment performance. Of the 8 critical risk variables, a strategy/mitigation of these risks is determined. In addition, the risk allocation is also determined.
Depok: Fakultas Teknik Universitas Indonesia, 2022
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UI - Skripsi Membership  Universitas Indonesia Library