Article Per Year (5 Year)
p-Index From 2020 - 2025
0.562
P-Index
This Author published in this journals
All Journal eProceedings of Engineering
Judi Alhilman
Telkomuniversity
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Analisis Nilai Performansi Mesin Splitting Dengan Metode Reliability, Availability, Maintainability, Dan Safety Analysis (rams) Di Pt.garut Makmur Perkasa Anselvi Mega Lestari; Fransiskus Tatas Dwi Atmaji; Judi Alhilman
eProceedings of Engineering Vol 7, No 2 (2020): Agustus 2020
Publisher : eProceedings of Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstrak Mesin Splitting pada PT.GMP merupakan salah satu mesin utama yang digunakan untuk melakukan pembelahan kulit sesuai dengan standar ketebalan yang ditetapkan oleh perusahaan. Tingginya frekuensi downtime mesin menyebabkan turunnya performa mesin yang akan mempengaruhi target produksi. Untuk itu diperlukan langkah yang tepat untuk mengurangi permasalahan tersebut dengan menganalisis nilai reliability, availability, maintainability dan safety (RAMS) pada perusahaan. Data yang digunakan adalah data waktu kerusakan mesin Splitting bulan Januari 2017 – Desember 2019. Pada perhitungan risk matrix didapatkan subsistem kritis yaitu pisau, meja, dan bearing roll. Hasil pengolahan data RAMS dengan menggunakan pemodelan RBD didapatkan nilai reliability sistem pada t= 264 sebesar 80% berdasarkan standar IVARA. Nilai inherent availability sebesar 99.51% dan operational availability sebesar 99.73%. Nilai maintainability sistem mencapai angka 100% pada t = 16 jam. Pada evaluasi indikator leading dan indikator lagging sudah mencapai target diatas 95% sesuai dengan standar IVARA World Class Maintenance Key Performance Indicator. Hasil perhitungan safety berdasarkan nilai PFD dan RRF untuk setiap subsistem pada saat interval waktu 8 jam dan 40 jam, subsistem bearing roll memiliki tingkat SIL terbesar yaitu SIL 2, subsistem pisau dan meja memiliki tingkat SIL 2 pada waktu 8 jam dan memiliki SIL 1 pada waktu 40 jam. Perhitungan ini berdasarkan standar IEC 61508. Kata Kunci : Splitting, Reliability, Availability, Maintainability, Safety, Reliability Block Diagram, Maintenance Key Performance Indikator, SIL, IEC 61508. Abstract Splitting machine at PT.GMP is one of the main machines used to do skin cleavage in accordance with the thickness standards set by the company. The high frequency of engine downtime causes a decrease in engine performance which will affect production targets. For this reason, appropriate steps are needed to reduce these problems by analyzing the value of reliability, availability, maintainability and safety (RAMS) in the company. The data used is Splitting machine damage data for January 2017 - December 2019. In the calculation of the risk matrix, critical subsystems are obtained, namely knives, tables and bearing roll. The results of RAMS data processing using RBD modeling obtained value of system reliability at t = 264 of 80% best on IVARA world class standard. The inherent availability value is 99.51% and operational availability is 99.73%. The system maintainability value reaches 100% at t = 16 hours. In the evaluation of leading indicators and lagging indicators have reached targets above 95% in accordance with IVARA World Class Maintenance Key Performance Indicator standards. The safety calculation results are based on the PFD and RRF values for each subsystem at intervals of 8 hours and 40 hours, the bearing roll subsystem has the largest SIL level, namely SIL 2, the knife and table subsystem has a SIL 2 level at 8 hours and has SIL 1 at the time 40 hours. This calculation is based on the IEC 61508 standard. Keywords: Splitting, Reliability, Availability, Maintainability, Safety, Reliability Block Diagram, Maintenance Key Performance Indicators, SIL, IEC 61508.
Analisis Penilaian Performansi Mesin Toshiba Pada Pt Xyz Berdasarkan Analisis Trend Dan Korelasi Serial Dengan Menggunakan Metode Reliability, Availability, And Maintainability (ram) Ariqa Radhwa; Judi Alhilman; Endang Budiasih
eProceedings of Engineering Vol 7, No 2 (2020): Agustus 2020
Publisher : eProceedings of Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstrak Mesin Toshiba merupakan salah satu mesin CNC yang memiliki frekuensi kerusakan tertinggi dibanding mesin CNC lainnya pada PT XYZ. Kerusakan mesin yang dapat terjadi secara terus-menerus berdampak pada operational perusahaan yang dapat membuat aktivitas utama tidak dapat dilakukan. Oleh karena itu, perlu adanya analisis Reliability, Availability dan Maintainability (RAM) untuk mengetahui performansi mesin dan untuk mengurangi frekuensi kerusakan pada subsistem kritis mesin tersebut. Mesin Toshiba memiliki enam subsistem, dengan menggunakan risk matrix terdapat tiga subsistem kritis yaitu subsistem hydraulic, coolant, dan spindle. Asumsi dalam melakukan RAM analysis yaitu data TBF dan TTR subsistem kritis harus Independent and Identically Distributed (IID) dengan melihat pada analisis trend dan korelasi serial. Setiap subsistem kritis merupakan IID karena data TBF dan TTR tidak memiliki trend dan korelasi serial. Berdasarkan hasil pengolahan data menggunakan metode RAM analysis dengan menggunakan pemodelan Reliability Block Diagram (RBD), pada t = 680 jam nilai reliability hydraulic (69.14%), coolant (71.35%), spindle (74.53%) dan keseluruhan sistem kritis yaitu 36.77%. Untuk mencapai nilai maintainability 100% membutuhkan waktu berkisar antara 1 - 17 jam dengan nilai inherent availability 99.49% dan operational availability 98.89%. Berdasarkan hasil evaluasi standar IVARA World Class Maintenance Target for Key Performance Indicator, nilai leading indicator dan lagging indicator telah mencapai target. Kata Kunci : Mesin Toshiba, Reliability, Availability, Maintainability, RAM analysis, Independent and Identically Distributed (IID), Reliability Block Diagram (RBD). Abstract Toshiba machine is one of the CNC machines that has the highest frequency of damage compared to other CNC machines at PT XYZ. Machine damage that can occur continuously has an impact on the company operations that can make the main activities can not be done. Therefore, it is necessary to have a Reliability, Availability, and Maintainability (RAM) analysis to determine the performance of machine and to reduce the frequency of damage to the critical subsystem of the machine. Toshiba machines have six subsystems, using the risk matrix there are three critical subsystems namely hydraulic, coolant, and spindle subsystems. Assumptions in performing RAM analysis are TBF data and TTR critical subsystems must be Independent and Identically Distributed (IID) by looking at trend analysis and serial correlation. Each critical subsystem is an IID because TBF and TTR data do not have trends and serial correlations. Based on the results of data processing using the RAM analysis method using Reliability Block Diagram (RBD) modeling, at t = 680 hours the value of hydraulic reliability (69.14%), coolant (71.35%), spindles (74.53%) and the overall critical system is 36.77%. To achieve 100% maintainability, it takes between 1-17 hours with an inherent availability of 99.49% and operational availability of 98.89%. Based on the evaluation results of IVARA World Class Maintenance Standards Target for Key Performance Indicators, the value of leading indicators and lagging indicators have reached the target. Keywords : Toshiba Machine, Reliability, Availability, Maintainability, RAM analysis, Independent and Identically Distributed (IID), Reliability Block Diagram (RBD).
Usulan Estimasi Remaining Life Dan Optimasi Jadwal Inspeksi Pada Pipa Penyalur Gas Menggunakan Metode Risk Based Inspection (rbi) Semi Kuantitatif Di Pt Xyz Dian Hayyu Rana Muna; Judi Alhilman; Endang Budiasih
eProceedings of Engineering Vol 7, No 2 (2020): Agustus 2020
Publisher : eProceedings of Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstrak Pipa penyalur (pipeline) sebagai alat transportasi utama di industri minyak dan gas bumi (migas) memiliki risiko kegagalan tinggi dalam pengoperasiannya untuk menyalurkan fluida dari sumur penghasil (well) menuju tempat pengolahan (gas plant) kemudian didistribusikan ke konsumen. PT XYZ adalah perusahaan yang menyelenggarakan usaha di bidang pengolahan migas. Dari empat pipa penyalur milik PT XYZ yang aktif beroperasi di Tanggulangin gas plant, pipa TGA#5 memiliki frekuensi kebocoran tertinggi. Oleh sebab itu, perlu dilakukan penilaian risiko (risk assessment) dan standar penilaian umur layanan jaringan pipa menggunakan metode Risk Based Inspection (RBI) semi kuantitatif. RBI merupakan metode untuk merencanakan inspeksi berdasarkan risiko kegagalannya. Penelitian ini mengacu standar API 581 Risk Based Inspection Technology dengan mekanisme kerusakan thinning. Tujuan penelitian adalah untuk mengetahui level risiko kegagalan, langkah mitigasi risiko, estimasi remaining life, metode inspeksi, dan perencanaan program inspeksi yang efisien dari segi waktu dan biaya. Dari hasil penilaian risk matrix RBI pipa TGA#5, diperoleh tiga segmen high risk dan satu segmen medium risk. Kemudian dibuat program inspeksi untuk menurunkan tingkat risiko serta menjaga integritas pipa berdasarkan level risiko dan estimasi remaining life. Metode inspeksi utama yang digunakan termasuk NDE (Non-Destructive Examination) yaitu UT scans, profile radiography, dan visual examination. Perbedaan percepatan laju korosi secara signifikan mempengaruhi hasil penilaian risiko. Nilai laju korosi ditentukan berdasar pengukuran ketebalan dinding aktual. Dibutuhkan penelitian lebih lanjut terkait hasil pengukuran ketebalan dengan menggunakan metode repeatability dan analisis penyebab percepatan laju korosi pada tiga segmen high risk. Berbagai aspek implementasi dapat dilakukan termasuk tindakan perawatan untuk kerusakan korosi. Kata kunci: Gas Pipeline, Risk Based Inspection, API 581, Risk Matrix, Program inspeksi. Abstract Pipeline as the main transportation equipment in the gas and petroleum industry has a high risk of failure in its operation to distribute oil and gas from oil-producing wells to gas plant to be further distributed to consumers. PT XYZ is a gas and petroleum processing company. Of the four active operating PT XYZ’s pipelines in Tanggulangin gas plant, the TGA#5 gas pipeline has the highest leakage frequency. Therefore, a risk assessment and service life assessment standards are required in pipeline using the Semi-Quantitative Risk Based Inspecion (RBI) method. RBI is a method for determining inspection plans based on the risk of failure. This research is referring to the standard API 581 Risk Based Inspection Technology and thinning damage mechanisms. The purpose of this study is to determine the level of failure risk, propose risk mitigation measures, estimate remaining life, propose pipeline inspection methods, and planning of an efficient inspection program in terms of time and cost. Based on the analysis of risk level using the RBI risk matrix, the study found three high risk segments and one medium risk segment, and further proposed an inspection to reduce the level of risk and to maintain the durability of the pipeline based on risk level categories and estimated remaining life. The main inspection methods used are those that include NDE (Non-Destructive Examination), namely UT scans, profile radiography, and visual examination. The difference in corrosion rate acceleration significantly affects the results of risk assessment. The value of corrosion rate is determined based on actual wall thickness ISSN : 2355-9365 e-Proceeding of Engineering : Vol.7, No.2 Agustus 2020 | Page 6447 measurements. More research is needed regarding thickness measurement by using the repeatability method and analysis the cause of corrosion rate acceleration on three high risk segments. Various aspects of implementation can be carried out including maintenance measures for corrosion damage. Keywords: Gas Pipeline, Risk Based Inspection, API 581, Risk Matrix, Inspection Program.
Co-Authors Anselvi Mega Lestari Ariqa Radhwa Dian Hayyu Rana Muna Endang Budiasih Fransiskus Tatas Dwi Atmaji