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Menurunkan Keluhan Nyeri Pada Tubuh Pekerja Pada Proses Pembersihan Hardware Menggunakan Analisis NBM, RULA, dan Antropometri Erwin Barita; Arif Nuryono
Operations Excellence: Journal of Applied Industrial Engineering Vol. 14, No. 3, (2022): OE NOVEMBER 2022
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2022.v14.i3.061

Abstract

The impact of the Covid-19 pandemic has created many new habits, rapid changes in information have made the need for the use of computers and electronic devices important for society and entrepreneurs. PT. RSS is engaged in the procurement of goods, maintenance, telecommunication services and event management. When workers carry out the maintenance process by cleaning hardware devices, non-ergonomic work positions are identified. This working position results in complaints of pain in the worker's body which results in a reduced number of hardware products being cleaned. Complaints experienced by workers can cause long-term illness and Musculoskeletal Disorders (MSDs). This research was conducted to help workers/technicians when cleaning hardware is more ergonomic. Data collection was carried out by observing the body position of 5 workers while cleaning the hardware. This research begins by identifying problems using the NBM method. Then analyze worker posture using RULA and Anthropometry. The results of the analysis of this study are that work aids are needed so that workers are more ergonomic. The tools needed are to design and make an ergonomic workbench according to the dimensions of the worker's body. The table measures 167.2 cm long, 104.2 cm high and 73.4 cm wide. Evaluation of the results showed complaints of pain in the workers' bodies decreased. Complaints of workers' bodies before using the workbench have a value of 7 or the "Very High" category then drop to 4 or the "Moderate" category using the RULA assessment.
Upaya Peningkatan Productivity Mesin Extrusion 2500 Menggunakan Metode Overall Equipment Effectiveness (OEE) dan Six Big Losses Studi Kasus PT XYZ Arif Nuryono, S.T., M.T.; Alloysius Vendhi Prasmoro, S.T., M.T; Gusti Andhika Aji
JURNAL BHARA PETRO ENERGI Vol 1 No 3: December 2022
Publisher : Department of Petroleum Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/bpe.v1i3.1738

Abstract

PT. XYZ is engaged in manufacturing in making aluminum profile products during the last one year period. XYZ company did not reach its production target by an average of 6.24%. As for the reasons why the production target did not reach the target, one of them was due to the high downtime of the extrusion machine 2500 which exceeded the company standard, namely 7800 minutes per year, the downtime of the extrusion machine 2500 in the last year was 9807 minutes. The purpose of this study is to reduce the downtime value of the extrusion machine using the OEE method (overall equipment effectiveness), to increase the productivity of the extrusion machine 2500 from the results of the analysis of six big losses and identify the main causes of downtime of the extrusion 2500 machine. The results show that the OEE value of the extrusion machine. 2500 by 45. 61% where this value is still below the ideal OEE average standard, namely 85%. The main cause of downtime is due to seven factors that dominate the causes of downtime, namely log heater 2230 minutes with 11 events, puller 1740 minutes with 11 events, dummi block 1390 with 4 events, loader 710 minutes with 4 events, finish cut 540 minutes with 3 events, stem 450 minutes with 2 events, 360 minutes table with 1 event. Based on the results of the calculation of six big losses, the results of downtime values: equipment failure losses 3,81%, setup and adjustment losses 3,95%, speed losses: idle and minor stoppage 3,03%, reduced speed losses 46,51, quality losses: defect losses 0,13%, reduced yield 0 %. The recommendation for improvement is to conduct special training, give warnings to operators who are not disciplined. Reference: Ahuja, I. P. S., Khamba, J. S. (2008). Total Productive Maintenance Literature Review and Directions. International Journal of Quality and Reliability Management, 25 (7), 709-756. Atmaja, L. T., Supriyadi, E., & Utaminingsih, S. (2018). Analisis Efektivitas Mesin Pressing Ph-1400 Dengan Metode Overall Equipment Effectiveness ( Oee ) Di Pt . Surya Siam Keramik. 1. Anggraini, M., Widya, M. W., Edy, K. F. B. (2017). Implementasi Metode Overall Equipment Effectiveness Dalam Menentukan Produktivitas Mesin Rotary Car Dumper. Seminar dan Konferensi Nasional IDEC 2017, 1 (1), 78-87. Hadi, S. (2019). Perawatan Dan Perbaikan Mesin Industri. Yogyakarta: Andi. Hamdy, I. M., Azizi, A. (2017). Analisis Nilai Overall Equipment Effectiveness (OEE) Pada Mesin Ripple Mill. Jurnal Hasil Penelitian dan Karya Ilmiah Dalam Bidang Industri, 3 (1), 53-58. Hamid, A., & Purnomo, S. A. (2018). Analisa Efektivitas Kinerja Mesin Turning Star SB-16 Dengan Metode Total Productive Maintenance ( TPM ) di PT Mitsuba Indonesia Dosen Teknik Industri Universitas Pamulang. Jitmi, 1 (1), 50 - 63. Hazmi, M. F., Juniani, A. I., Budiyantoro, E. N. (2017). Analisis Perhitungan OEE Dan Six Big Losses Terhadap Produktivitas Mesin Bottomer Line 4 PT. IKSG Tuban. Jurnal Conference on Safety Engineering and Application, 1 (1), 161-166. Heru, W., Ferdiansyah, F. (2018). Analisis Efektifitas Mesin Roughing Mill dengan Metode Overall Equipment Effectiveness (OEE). Jurnal Industri Manufacturing, 3 (2), 67-78. Jannah, R. M., Supriyadi., Nalhadi, A. (2017). Analisis Efektivitas Pada Mesin Centrifugal Dengan Menggunakan Metode Overall Equipment Effectiveness (OEE). Seminar Nasional Riset Terapan, 1 (1), 170-175. Karismawan, F. (2015). Pengukuran Kinerja Mesin Perusahaan Menggunakan Overall Equipment Effectiveness dan Usulan Perbaikan Menggunakan Diagram Sebab Akibat (Fish Bone) Pada CV. Jati Makmur Pasuruan. Jurnal Manajemen Teori dan Terapan, 1 (2), 107-115. Kholil, M., Maulidina, A. D., Rimawan, E. (2016).Analisa Total Productive Maintenance Terhadap Produktivitas Kapal Armada Menggunakan Metode Overall Equipment Effectiveness pada PT. Global Trans Energy International. Jurnal of Industrial Engineering and Management Systems, 9 (1), 1-18. Kholisdiantoro, S. (2016). Usulan Perbaikan Untuk Peningkatan Efektivitas Kinerja Mesin Crusher di Incinerator 2 Dengan Metode Overall Equipment Effectiveness. Teknik Industri. Universitas Bhayangkara Jakarta Raya. Rahmadhani, D. F., Taroepratjeka, H., & Fitria, L. (2014). Usulan Peningkatan Efektivitas Mesin Cetak Manual Menggunakan Metode Overall Equipment Effectiveness (OEE) (Studi Kasus Di Perusahaan Kerupuk TTN). Jurnal Online Institut Teknologi Nasional, 2 (4), 156 –165. Soemohadiwidjojo, A. T. (2017). Six Sigma metode pengukuran kinerja perusahaan berbasis statistik. Jakarta: Raih asa sukses (RAS). Suwardiyanto, P., Siregar, D., Umar, D. (2020). Analisis Perhitungan OEE dan Menentukan Six Big Losses pada Mesin Spot Welding Tipe X. Journal of Industrial and Engineering Sistem, 1 (1), 11-20.  
ANALISIS KINERJA KESELAMATAN DAN KESEHATAN KERJA (K3) PADA PROSES PRODUKSI SAUS DENGAN METODE FAULT TREE ANALYSIS Arif Nuryono; Hibarkah Kurnia; Erwin Barita Tambunan; Tri Ngudi Wiyatno
Jurnal Ilmiah Teknik Industri Vol. 11 No. 2 (2023): Jurnal Ilmiah Teknik Industri : Jurnal Keilmuan Teknik dan Manajemen Industri
Publisher : Program Studi Teknik Industri, Fakultas Teknik Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jitiuntar.v11i2.23977

Abstract

The production process for making sauces requires a performance appraisal so that the results are effective and efficient. In production, performance problems sometimes occur, such as low productivity and accidents. The relationship between employee performance, such as work safety greatly affects work productivity. The purpose of this study was to analyze the performance of K3 which includes the Frequency Rate (FR), Severity Rate (SR), and T-Safety Value (NTS) so that it will produce how big the relationship is between the accident rate and work productivity. This study uses the Fault Tree Analysis (FTA) method where to build an FTA flowchart, it is necessary to identify work accident data, build a safety tree, measure work productivity, and draw conclusions. This research has produced several analyzes using FTA where the FR, SR, and NTS levels can already be known. The results of measuring the FR value show a decrease in the frequency of disability injuries and the severity of work accidents from year to year, there is a decrease from year to year. This research has also succeeded in increasing employee work productivity due to the low value of the FR and SR levels each year. If linked to NTS, every year the relationship between work safety and productivity will improve. So from the results of this analysis, there is a relationship between the frequency of work accidents and the level of work productivity that occurs in the production process.
Reduced painting defects in the 4-wheeled vehicle industry on product type H-1 using the lean six sigma-DMAIC approach Iskandar Zulkarnaen; Hibarkah Kurnia; Bungaran Saing; Apriyani Apriyani; Arif Nuryono
Jurnal Sistem dan Manajemen Industri Vol. 7 No. 2 (2023): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v7i2.7512

Abstract

The current era provides challenges for several automotive industries to be able to compete and maintain the quality of their products. For four-wheeled auto­motive companies, satisfying customers regarding the visual appear­ance of the vehicle body is very important. However, internally, automotive companies still found many defects or failures in painting, amounting to 32.6%. Apart from that, rework also results in additional costs that the company must incur during the painting process. This study aims to clarify types of painting defects, analyze root causes, provide solutions, improve process capabilities, and in­crease the sigma level in the painting process in the four-wheeled vehicle industry. This study uses the Lean Six Sigma method, which is integrated into the DMAIC approach and other improve­ment tools. As a result, this study clarifies four critical defects in the orange peel defects of the painting section, craters, melting, and blur. This study has resulted in several corrective action solutions, including tightening supervision of the performance of painting section operators so that they are consistent and committed to working according to the Standard Operational Procedure (SOP) or work instructions that have been created. A competency matrix is used to evaluate operator performance, which is reported to super­iors and subordinates by the supervisory depart­ment. After carrying out corrective action, this study increased the process capability from 1.17 to 1.92. The higher the capability value, the higher the sigma level. This study also has increased the sigma level from 2.76 to 3.42, meaning an increase of 78%. .
Upaya Peningkatan Productivity Mesin Extrusion 2500 Menggunakan Metode Overall Equipment Effectiveness (OEE) dan Six Big Losses Studi Kasus PT XYZ Arif Nuryono, S.T., M.T.; Alloysius Vendhi Prasmoro, S.T., M.T.; Gusti Andhika Aji
Jurnal Bhara Petro Energi Vol.1 No.2 (November 2022)
Publisher : Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/pv3pam75

Abstract

XYZ is engaged in manufacturing in making aluminum profile products during the last one year period. XYZ company did not reach its production target by an average of 6.24%. As for the reasons why the production target did not reach the target, one of them was due to the high downtime of the extrusion machine 2500 which exceeded the company standard, namely 7800 minutes per year, the downtime of the extrusion machine 2500 in the last year was 9807 minutes. The purpose of this study is to reduce the downtime value of the extrusion machine using the OEE method (overall equipment effectiveness), to increase the productivity of the extrusion machine 2500 from the results of the analysis of six big losses and identify the main causes of downtime of the extrusion 2500 machine. The results show that the OEE value of the extrusion machine. 2500 by 45. 61% where this value is still below the ideal OEE average standard, namely 85%. The main cause of downtime is due to seven factors that dominate the causes of downtime, namely log heater 2230 minutes with 11 events, puller 1740 minutes with 11 events, dummi block 1390 with 4 events, loader 710 minutes with 4 events, finish cut 540 minutes with 3 events, stem 450 minutes with 2 events, 360 minutes table with 1 event. Based on the results of the calculation of six big losses, the results of downtime values: equipment failure losses 3,81%, setup and adjustment losses 3,95%, speed losses: idle and minor stoppage 3,03%, reduced speed losses 46,51, quality losses: defect losses 0,13%, reduced yield 0 %. The recommendation for improvement is to conduct special training, give warnings to operators who are not disciplined.
Usulan Klasifikasi ABC dan Penerapan 5R Terhadap Efisiensi Waktu Kerja Pada Gudang Arsip di PT. XYZ Vendhi Prasmoro, Alloysius; A. Nuryamin; Nuryono, Arif
Journal of Industrial and Engineering System Vol. 2 No. 2 (2021): Desember 2021
Publisher : Program Studi Teknik Industri, Fakultas Teknik, Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/ee85fr77

Abstract

XYZ is a company engaged in stamping & tools that produces various product components for 4 (four) wheeled vehicles. The high time to search for archives in a messy archive warehouse causes time wastage which results in increased labor costs so that repairs need to be made using the ABC classification method and the application of 5R. The company managed to rearrange the messy archive warehouse into a tidier and efficient working time from 58 minutes to 27 minutes or 53.4% and resulted in a decrease in labor costs with a value of Rp. 14,105.00 or 53.4%..
Hazard Identification Risk Assessment and Determining Control (HIRADC) Method for Shoe Cutting Dies Production Sjarifudin, Didin; Kurnia, Hibarkah; Nuryono, Arif; Tambunan, Erwin Barita Maniur
Jurnal Sistem Teknik Industri Vol. 25 No. 2 (2023): JSTI Volume 25 Number 2 July 2023
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v25i2.12186

Abstract

Along with high orders from customers for shoe products in apparel companies, the production department must also support productivity results. The production process has experienced several problems, including the number of work accidents and potential levels of work accidents, and the absence of safe work accident control measures in the cutting die area for the shoe production process. The purpose of this study is to analyze the types of work accidents and provide recommendations for controlling sources of hazard to reduce or eliminate the level of risk involved in the shoe molding process. The method used in this study uses the Hazard Identification Risk Assessment and Determining Control (HIRADC) method combined with the Focus Group Discussion (FGD) method. The findings of this study have obtained data before repair with 16 hazard potentials consisting of 6 medium hazard potentials and 10 low hazard potentials. Improvements that have been made in accident risk control for each potential hazard include technical controls, administrative controls, and document controls. The results of this study resulted in a reduction in the risk of work accidents after repairs to 16 low hazard potentials and no moderate hazard potentials. So from these results, it can be concluded that the decrease in risk level from medium risk to low risk proves the success of corrective actions.
Pelatihan Prinsip Kaizen Dalam Upaya Eksistensi Perusahaan Kurnia, Hibarkah; Sulaeman, Asep Arwan; Nuryono, Arif; Hidayat, Ade Nurul
Jurnal Pengabdian Pelitabangsa Vol. 5 No. 01 (2024): Jurnal Pengabdian Pelitabangsa - April 2024
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jabmas.v5i01.3950

Abstract

Era globalisasi memberikan dampak pada industri di seluruh dunia baik industri manufaktur maupun industri jasa. Persaingan global yang ketat merupakan salah satu dari berbagai tantangan yang dihadapi oleh produsen yang disebabkan oleh globalisasi. Akibatnya, perusahaan perlu melakukan inovasi untuk menjaga pasar tetap kompetitif. Salah satu strategi yang diterapkan oleh banyak perusahaan untuk meningkatkan daya saingnya adalah dengan menerapkan konsep Kaizen atau perbaikan berkelanjutan dalam organisasinya. Saat ini tidak semua perusahaan menerapkan prinsip Kaizen dikarenakan adanya kendala terkait sumber daya manusia dan investasi. Perusahaan tersebut belum menyadari adanya kekuatan prinsip Kaizen dalam eksistensi perusahaan sehingga perusahaan tersebut tinggal menunggu waktu untuk tidak beroperasi lagi. Pengabdian ini bertujuan untuk memberikan pelatihan terkait penerapan prinsip Kaizen pada perusahaan manufaktur ataupun jasa dalam eksistensi perusahaan di era globalisasi. Metode yang digunakan pada pengabdian ini dengan melakukan pelatihan secara daring dan luring selama 1 hari. Pengabdian ini menemukan bahwa resistensi terhadap perubahan, kegagalan memotivasi karyawan, kurangnya pemahaman tentang jalur strategis perusahaan, dan kesulitan dalam mengelola perbaikan berkelanjutan merupakan tantangan dalam menerapkan Kaizen. Melalui penerapan pendekatan 5S, PDCA, DMAIC dan 3M yang mempunyai prinsip Kaizen atau perbaikan berkelanjutan dapat membuat perusahaan lebih menyadari dan peduli terhadap penerapan prinsip Kaizen. Sehingga dengan kekuatan prinsip Kaizen perusahaan dapat eksis dalam menjalankan operasionalnya dan dapat menghasilkan profit sesuai target perusahaan.
Spare parts warehouse re-layout design with kaizen 5S implementation to reduce wasted time searching for machine parts Nuryono, Arif; Kurnia, Hibarkah; Zulkarnaen, Iskandar
Operations Excellence: Journal of Applied Industrial Engineering Vol. 15, No. 3, (2023): OE November 2023
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2023.v15.i3.095

Abstract

Increasing the productivity and efficiency of production machines cannot be separated from the availability of machine spare parts in the warehouse department. Delays in the delivery of spare parts if machine problems occur often become a problem that disrupts efficiency. This delay was caused by the search for engine spare parts in the warehouse taking too long to find. The long search time was caused by the irregular placement of the materials and the messy condition of the warehouse. This research aims to make improvements to the goods search process to make it faster and more effective in the warehouse area and increase warehouse capacity using warehouse re-layout. This research method uses the implementation of warehouse re-layouts combined with the application of Kaizen 5S in controlling the condition of machine spare parts. This research found that the reason for the long search time for machine spare parts was due to the lack of knowledge of warehouse operators and the absence of training regarding the application of the 5S method, as well as the careless placement of spare parts in warehouses that were not neatly arranged.  This research has resulted in a reduction in search time for engine spare parts from 6.4 minutes to 4 minutes per spare part unit or a decrease of 36.5%. Meanwhile, the results of the warehouse re-layout resulted in an increase in warehouse capacity from 80 pallets to 316 pallets, an increase of 395%. 
Analisis Produktivitas Dengan Metode OMAX di Industri Garmen Didin Sjarifudin; Jasan Supratman; Arif Nuryono
Greenation International Journal of Economics and Accounting Vol. 1 No. 4 (2023): (GIJEA) Greenation International Journal of Economics and Accounting (December
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijea.v1i4.134

Abstract

Industri garmen merupakan salah satu sektor perekonomian yang berfokus pada pembuatan pakaian dan tekstil. Industri ini menginginkan peningkatan produktivitas dan tidak adanya pengukuran yang sistematis dalam meningkatkan produktivitas. Dimana terjadi pengurangan permintaan ekspor dan gempuran produk impor, menjadi faktor yang menyebabkan melemahnya industri garmen di Indonesia saat ini. Temuan analisis menunjukkan bahwa pendekatan OMAX dapat memaksimalkan kapasitas produksi, menurunkan waktu henti mesin, dan menghasilkan produk dengan kualitas lebih tinggi. Oleh karena itu, penerapan pendekatan OMAX pada sektor pakaian jadi merupakan langkah yang diperhitungkan untuk meningkatkan output dan daya saing dalam menghadapi kondisi pasar yang semakin sulit.