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Hasil Pencarian

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Irfan Ansori
"Pada penelitian ini dilakukan pendekatan analisis life cycle cost (LCC) pada Kereta Cepat Indonesia yang mempertimbangkan analisis Reliability, Availability, Maintainability & Safety (RAMS). Analisis RAMS ini akan memberikan cara untuk mengoptimalkan strategi maintenance dengan mempertimbangkan kebutuhan anggaran jangka pendek serta biaya kepemilikan jangka panjang. Untuk mencapai tujuan RAMS dan LCC keseluruhan dari sistem, diperlukan tindakan RAMS dan LCC yang sistematis diseluruh siklus hidup (life cycle) sistem. Dikarenakan kereta cepat indonesia masih dalam tahap desain, maka analisis RAMS dan LCC kereta cepat ini ada pada fase desain dan implementasi pada siklus hidup produk. Fase ini menjadi penting dikarenakan sebagai analisis awal dari RAMS dan LCC kereta cepat. Tujuan dari penelitian ini adalah mengembangkan pendekatan untuk membuat keputusan maintenace yang efektif berdasarkan analisis RAMS dan LCC
Metode yang digunakan dalam analisis RAMS ini mengikuti siklus hidup sistem sampai dengan tahap desain dan implementasi yaitu dimulai dengan penentapan ruang lingkup kegiatan. Penetapan ruang lingkup ini merupakan penentuan sistem, subsistem beserta komponen kereta cepat yang akan dianalisis. Selanjutnya dilakukan pengumpulan data yang berasal dari kombinasi antara pengambilan data pembanding dari data kereta cepat yang beroperasi di negara lain, pengambilan data dari para ahli kereta, serta pengambilan data dari perhitungan masa pakai komponen. Setelah pengumpulan data, dilanjutkan dengan analisis risiko. metode analisis risiko mengacu pada standar ISO 31000 yang dimulai dengan identifikasi hazard, analisis risiko dengan Failure Mode & Effect Criticality Analysis (FMECA) dan evaluasi risiko berdasarkan FMECA. Langkah selanjutnya adalah penentuan persyaratan dan target RAMS. Target reliability dan availability ditetapkan sebesar 95% berdasarkan kesepakatan dengan PT INKA. Setelah target ditetapkan, selanjutnya melakukan program RAMS yang meliputi perhitungan reliability, availability, maintainability dan hazard rate. Setelah melakukan program RAMS didapatkan rekomendasi waktu maintenance setiap subsistem. Rekomendasi ini dipakai dalam perhitungan LCC.
Untuk analisis LCC mengacu pada standar internasional BS 15686-5 tentang Life Cycle Costing. Biaya-biaya yang dihitung meliputi biaya konstruksi, biaya maintenance, biaya operasional dan end of life cost.
Hasil yang diperoleh adalah nilai reliability sistem kereta cepat Indonesia dalam kurun waktu 1 tahun (6000 jam) yaitu 0,1550 artinya untuk mencapat target reliability total sebesar 0,95 diperlukan upaya maintenance sebelum 1 tahun beroperasi. Untuk nilai availability semua sistem kereta cepat diatas target yaitu 0,95 artinya waktu repair dari setiap subsistem dan sistem secara keseluruhan sudah memenuhi standar. Sedangkan nilai maintainability setiap subsistem diantara 95% – 100%.
Selanjutnya hasil dari analisis LCC dengan menggunakan metode Uniform Present Value Modified (UPV*) dengan nilai escalation rate (e) 3,27% dan discount rate (i) 4,96% selama periode (n) 30 tahun, maka didapatkan nilai present value total sebesar 79.073,96 milyar rupiah jauh lebih rendah dibandingkan dengan nilai estimasi revenue terendah yaitu 443.799,16 milyar rupiah. Dengan demikian proyek kereta api cepat jakarta surabaya dinilai menguntungkan.

In this study, a life cycle cost (LCC) analysis approach was carried out on the Indonesian High-Speed ​​Train which took into account the analysis of Reliability, Availability, Maintainability & Safety (RAMS). This RAMS analysis will provide a way to optimize the maintenance strategy by considering short-term budget requirements as well as the long-term cost of ownership. To achieve the overall RAMS and LCC objectives of the system, systematic RAMS/LCC actions are required throughout the life cycle system. Because the Indonesian high-speed train is still in the design stage, the RAMS and LCC analysis of this high-speed train is in the design and implementation phase of the product life cycle. This phase is important because it is the initial analysis of the high-speed train RAMS and LCC. This research aims to develop an approach to making effective maintenance decisions based on RAMS and LCC analysis analysis
The method used in this RAMS analysis follows the system life cycle up to the design and implementation stages, starting with determining the scope of activities. Determination of this scope is the determination of the system, subsystem, and components of the high-speed train to be analyzed. Furthermore, data collection comes from a combination of taking comparative data from data on high-speed trains operating in other countries, collecting data from train experts, and collecting data from calculating component life. After data collection, continued with risk analysis. The risk analysis method refers to the ISO 31000 standard starting with hazard identification, risk analysis with Failure Mode & Effects Criticality Analysis (FMECA), and risk evaluation based on FMECA. The next step is to determine the RAMS requirements and targets. The reliability and availability targets are set at 95% based on an agreement with PT INKA. After the target is set, then perform the RAMS program which includes the calculation of reliability, availability, maintainability, and hazard rate. After performing the RAMS program, the recommended maintenance time for each subsystem is obtained. This recommendation is used in the calculation of the LCC.
The LCC analysis refers to the international standard BS 15686-5 concerning Life Cycle Costing. The calculated costs include construction costs, maintenance costs, operational costs, and end-of-life costs.
The results obtained are the reliability value of the Indonesian high-speed rail system within 1 year (6000 hours) which is 0.1550, meaning that to achieve a total reliability target of 0.95, maintenance efforts are needed before 1 year of operation. For the availability value of all high-speed train systems above the target, which is 0.95, it means that the repair time of each subsystem and the system as a whole has met the standard. While the maintainability value of each subsystem is between 95% - 100%.
Furthermore, the results of the LCC analysis using the Uniform Present Value Modified (UPV*) method with an escalation rate (e) of 3.27% and a discount rate (i) of 4.96% throughout (n) 30 years, the present value is obtained. a total of 79,073.96 billion rupiahs, much lower than the lowest estimated revenue value of 443,799.16 billion rupiahs. Thus, the Jakarta-Surabaya high-speed rail project is considered profitable.
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Depok: Fakultas Teknik Universitas Indonesia, 2022
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UI - Tesis Membership  Universitas Indonesia Library
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Hariz Bayu Wicaksono
"ABSTRAK
Skripsi ini membahas tentang reliabilitas sistem Turbine Cooling Air, yaitu salahsatu sistem pada pembangkit listrik tenaga gas dan uap yang berfungsi untukmeningkatkan efisiensi dan output dari pembangkit tersebut. Terdapat beberapametode yang digunakan dalam analisa reliabilitas ini, beberapa diantaranya adalahanalisa Weibul dan Reliability Block Diagram. Hasil perhitungan menunjukkanbahwa komponen yang memiliki reliabilitas paling rendah adalah fan belt, dansubsistem yang memiliki reliabilitas paling rendah adalah Tube Bundle.Sedangkan reliabilitas dari sistem memiliki nilai paling tinggi denganmenggunakan K out of N redundancy pada Reliability Block Diagram

ABSTRACT
This thesis discusses the reliability of the Turbine Cooling Air sistem, which isone of the sistems in gas and steam power plants that functions to improve theefficiency and output of the plant. There are several methods used in thisreliability analysis, some of which are Weibul analysis and Reliability BlockDiagram. The results show that the component that has the lowest reliability is thefan belt, and the subsistem that has the lowest reliability is the Tube Bundle.While the reliability of the sistem has the highest value by using K out of Nredundancy on Reliability Block Diagram."
2017
S67256
UI - Skripsi Membership  Universitas Indonesia Library
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Fadhil Rasendriya Prabowo
"Ekspor dan impor merupakan kegiatan jual-beli barang antarnegara yang memerlukan dokumen bernama delivery order untuk mengirim barang. Di Indonesia kegiatan ini didukung oleh sistem single-window yang dinamakan INSW atau Indonesia National Single Window yang juga menangani pembuatan dokumen delivery order. Saat ini, dokumen permohonan delivery order perlu dilakukan verifikasi manual dua pihak yaitu INSW dan shipping line. Terdapat peluang pemanfaatan teknologi blockchain bernama smart contract untuk mengotomasi proses pembuatan dokumen delivery order tanpa memerlukannya verifikasi manual namun tetap memiliki persetujuan semua pihak terlibat. Penelitian merupakan simulasi proses bisnis delivery order berbasis blockchain dan smart contract, kemudian dianalisis aspek fungsionalitas, authentication, access control, dan reliability. Hasil dari simulasi yaitu proses bisnis delivery order tanpa verifikasi manual dapat diimplementasi menggunakan blockchain Hyperledger Fabric dengan tetap menjaga kepercayaan dan persetujuan semua pihak yang terlibat.

International trade require a document called delivery order before sending cargo to the expedition. In Indonesia, the trading activities are supported by a single-window system called INSW or Indonesia National Single Window, which also handles the creation of those documents. Currently, the verification of the delivery order application needs to be manually performed by two parties: INSW and Shipping Line. There is an opportunity to utilize blockchain technology, specifically smart contracts, to automate the process of creating delivery order documents without the need for manual verification while still ensuring the approval of all involved parties. The research involves simulating the delivery order process based on blockchain and smart contracts, then analyzing aspects of functionality, authentication, access control, and reliability. The result of the simulation shows that the delivery order process without the manual verification can be implemented using the Hyperledger Fabric blockchain while maintaining the trust and approval of all parties."
Depok: Fakultas Ilmu Komputer Universitas Indonesia, 2023
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UI - Skripsi Membership  Universitas Indonesia Library
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Julio Levi
"Banyak komponen tenaga listrik yang sedang beroperasi, seperti transformator dan circuit breaker, telah mengalami penuaan. Hal ini dapat mengakibatkan gangguan pada sistem transmisi tenaga listrik. Penuaan pada komponen ini meningkatkan aging failure rate yang juga berimplikasi pada meningkatnya probabilitas power outage serta kerugian biaya. Pemeliharaan pada komponen tua dapat menjadi tidak layak untuk dilakukan karena masalah finansial, sehingga penggantian komponen dapat lebih pantas untuk dilakukan.
Dalam penelitian ini, keputusan penggantian diambil dengan membandingkan jumlah investasi dan kerugian dari gangguan penyaluran tenaga listrik. Biaya kerugian diperoleh dengan mengevaluasi reliabilitas dari sistem tenaga listrik berdasarkan pada probabilitas dan frekuensi power outage. Setiap komponen tenaga listrik pada sistem direpresentasikan dengan Markov state model, dimana karakteristik aging state setiap tipe komponen diperoleh dari hasil evaluasi data condition monitoring.
Berdasarkan data yang digunakan pada penelitian ini, didapatkan bahwa penggantian terhadap komponen-komponen tenaga listrik, seperti transformer, harus dilakukan ketika memasuki umur 46 tahun, dan hal ini sesuai dengan umur operasional standar, yaitu sekitar 40 tahun.

Many existing operating electric power equipment, including transformers and circuit breakers, have aged which may result interruption into electric power transmission. Aging equipment has increasing aging failure rate which also implicates to the rising number of system unavailability and its interruption cost. Since aging equipment tends to be impractical for maintenance due to economical constraint, a replacement is needed.
In this study, a replacement decision was made by comparing the interruption and investment cost. The interruption cost was obtained by evaluating the power system reliability based on outage probability and frequency. In order to perform this reliability evaluation, each equipment in the system was represented into Markov state model, where the aging state characteristic was obtained based on condition monitoring data assessment.
As based on the data given in this study, it was found that electric equipment, such as transformers, needs replacement at the age of 46 years which complies to the standard operational period of 40 years.
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Depok: Fakultas Teknik Universitas Indonesia, 2016
S70078
UI - Skripsi Membership  Universitas Indonesia Library
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McPherson, J.W.
"This third edition textbook provides the basics of reliability physics and engineering that are needed by electrical engineers, mechanical engineers, civil engineers, biomedical engineers, materials scientists, and applied physicists to help them to build better devices/products. The information contained within should help all fields of engineering to develop better methodologies for: more reliable product designs, more reliable materials selections, and more reliable manufacturing processes-all of which should help to improve product reliability. A mathematics level through differential equations is needed. Also, a familiarity with the use of excel spreadsheets is assumed. Any needed statistical training and tools are contained within the text. While device failure is a statistical process (thus making statistics important), the emphasis of this book is clearly on the physics of failure and developing the reliability engineering tools required for product improvements during device-design and device-fabrication phases.
- Provides a comprehensive textbook on reliability physics of semiconductors, from fundamentals to applications;
- Explains the fundamentals of reliability physics and engineering tools for building better products;
- Contains statistical training and tools within the text;
- Includes new chapters on Physics of Degradation, and Resonance and Resonance-Induced Degradation."
Switzerland: Springer Nature, 2019
e20509885
eBooks  Universitas Indonesia Library
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Siti Nurbayanah
"Pipa penyalur merupakan sarana transportasi hidrokarbon yang umum digunakan sebagai media transportasi hidrokarbon. Namun apabila terjadi kegagalan akan berdampak besar terhadap jalur yang dilalui terutama di daerah padat penduduk. Pipa penyalur yang digelar harus mempunyai hak guna jalan (right of way) untuk keperluan pengoperasian, perawatan, dan kondisi tanggap darurat. Di Indonesia, pipa penyalur harus mempunyai jarak dari bangunan tetap minimal adalah 9 meter. Namun, karena faktor sosial, ekonomi, dan petumbuhan penduduk serta tingkat urbanisasi kondisi tersebut sering tidak tercapai. Oleh karena itu tingkat risiko penduduk di sekitar pipa penyalur harus diketahui. Di beberapa negara penilaian risiko kuantitatif diwajibkan sebagai dasar pertimbangan pengambilan keputusan dan sebagai sistem kontrol bahaya yang terjadi. Penilaian risiko kuantitatif terdiri dari penilaian frekuensi dan konsekuensi. Penilaian frekuensi diperoleh dari nilai laju kegagalan pipa penyalur akibat cacat material dan cacat konstruksi, korosi internal, korosi eksternal, gangguan pihak ketiga, pergerakan tanah. Penilaian konsekuensi memperhitungkan tingkat keparahan apabila kebakaran crater fire, jet fire, dan flash fire berdasarkan pohon kejadian (event tree). Pemodelan konsekuensi berdasarkan data meteorologi, data populasi, data teknis pipa penyalur, data komposisi fluidan, data perawatan dan rekam jejak kegagalan. Berdasarkan hasil perhitungan dan pemodelan nilai risiko dalam bentuk kontur pada setiap skenario (crater fire, jet fire, dan flash fire) diperoleh nilai risiko paling besar adalah 1x10-5 terjadi pada skenario crater fire dan jet fire. Luas wilayah yang mempunyai nilai risiko 1x10-5 pada skenario crater fire lebih besar dibandingkan skenario jet fire. Berdasarkan klasifikasi ALARP (As Low As Reasonably Practicable) nilai tersebut masih dapat diterima apabila diberikan alat pengaman tambahan.

Pipeline is commonly used for hydrocarbon transportation. However, if a failure occurs, it will have a major impact on the route traveled, especially in densely populated areas. The pipeline must have a right of way for operation, maintenance, and emergency response. In Indonesia, pipelines must have a minimum distance from fixed buildings of 9 meters. However, due to social, economic and population growth factors as well as the level of urbanization this condition is often not achieved. Therefore, the risk level of the population around the pipeline must be known. In some countries, quantitative risk analysis is required as a basis for decision-making and as a control system for hazards. Quantitative risk analysis consists of frequency and consequence analysis. The frequency analysis is obtained from the failure rate of the pipeline due to material and construction defects, internal corrosion, external corrosion, third party interference, and ground movement. The consequence analysis takes into account the severity of crater fire, jet fire and flash fire based on the event tree. Consequence modeling is based on meteorological data, population data, pipeline technical data, fluid composition data, maintenance data and failure track record. Based on the results of the calculation and modeling of risk values in the form of contours in each scenario (crater fire, jet fire, and flash fire), the greatest risk value is 1x10-5 occurring in the crater fire and jet fire scenarios. The area that has a risk value of 1x10-5 in the crater fire scenario is greater than the jet fire scenario. Based on the ALARP (As Low As Reasonably Practicable) classification, this value is still acceptable if additional safety equipment is provided.Keywords: Workover Rig, Oil and Gas Accident, Systematic Cause Analysis Technique, Technical Guidelines."
Depok: Fakultas Teknik Universitas Indonesia, 2024
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UI - Tesis Membership  Universitas Indonesia Library