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All Journal TEKMAPRO Journal of Industrial Engineering and Management Jurnal Ilmiah Teknik Informatika dan Komunikasi Jurnal Kendali Teknik dan Sains The Indonesian Journal of Computer Science
Endang Pudji W
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Implementation of Lean Warehouse to Improve the Performance of Warehouse Activities at PT. ABC Ilmi, Mohammad Nachrul; Endang Pudji W; Yekti Condro Winursito
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3785

Abstract

PT. ABC, a company operating in the cocoa product manufacturing industry, faces challenges related to waste during the reception of large spare parts, resulting in extended lead times for receiving goods. To address these issues, it is imperative to conduct an analysis of enhancements in the spare part receiving section within the maintenance warehouse to minimize or eradicate existing waste, thereby ensuring a shorter and more efficient process for receiving spare parts. Lean warehousing, which focuses on identifying and eliminating waste in warehouse operations or processes while reducing the time required to fulfill company requirements, serves as the guiding principle. The potential time reduction achievable by eliminating non-value-added activities is estimated at 26.56 minutes, representing a 23.8% decrease
Usulan Penjadwalan Perawatan Mesin Filling Secara Preventive Dengan Modularity Design Dan LCC Di PT. Petrosida Tarisa Nindyas Sari; Endang Pudji W
Jurnal Kendali Teknik dan Sains Vol. 1 No. 2 (2023): April : Jurnal Kendali Teknik dan Sains
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jkts-widyakarya.v1i2.224

Abstract

PT. Petrosida is a manufacturing company engaged in pesticide production. The production system in this company is Make To Order (MTO) where the company will produce products after an order or order from consumers. In its production PT. Petrosida has problems with the main tools used for packaging, one of which is a 1-liter induction semi-automatic filling machine in the herbicide unit, where treatment is carried out after damage to a component. Critical components in filling machines experience an average of 20 times damage in 2022-2023 and the machine maintenance process is still not optimal with an average downtime of 5 hours / month. Therefore, the purpose of research is to be able to carry out preventive maintenance using the modularity design method in the hope that there will be no more breakdowns that hamper the production process so as to reduce machine maintenance costs and to find out the minimum total machine maintenance cost planning using the life cycle cost (LCC) method. By implementing preventive maintenance with modularity design, the total maintenance cost of Rp. 9,747,782 is lower than the company's total maintenance cost of Rp. 23,023,176 with an efficiency rate of 42.3%. And obtained the lowest total life cycle cost of Rp. 340,459,348, - with an optimal life on the machine of 3 years & the number of mechanics one person.
Analisa Keandalan Operator Mesin Giling CTC Pada Produksi Teh Kebun Wonosari Faisyah Rizky Hidayati; Endang Pudji W
Jurnal Kendali Teknik dan Sains Vol. 1 No. 4 (2023): Oktober : Jurnal Kendali Teknik dan Sains
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jkts-widyakarya.v1i4.1142

Abstract

Tea is a plantation commodity that is in great demand and needed. Day by day, there are more connoisseurs and requests regarding the types and forms of tea. In the process, tea processing requires expertise in processing each quality. The purpose of this study is to identify what factors influence human error during the milling process, find out the type of work that gets the highest HEP value, and provide suggestions for improvements to reduce human errors that occur in the processing process. This research was conducted at the Wonosari Tea Plantation Factory. From the results of observations, it was obtained that the largest human error probability was obtained at the Wonosari Garden Tea Factory in the milling process with a probability of 0.7997584. And the lowest HEP is on the task of maintaining a max temperature of 27oC with a value of 0.00000681. The thing that is proposed to the company to reduce the human error that occurs is to provide an understanding of the SOP and emphasize the SOP that applies to the processing process. Companies can also use the HEP value as a reference to reduce human error that can harm the company.
Analisa Pemeliharaan Mesin Printer Dengan Reliability Centred Maintenance (RCM) II Dan Life Cycle Cost (LCC) Di CV. XYZ Timothy Anugrah Sugiarto; Endang Pudji W
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 3 No. 2 (2023): Juli : Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v3i2.509

Abstract

This study aims to optimize the maintenance of Banner printing machines at CV. XYZ Printing Company using the Reliability Centered Maintenance II (RCM II) and Life Cycle Cost (LCC) methods. RCM II is employed to identify and evaluate component failures, while LCC is utilized to calculate Costs throughout the machine's lifecycle. The study determines maintenance intervals for each component of the Banner printing machines. Subsequently, the Life Cycle Cost (LCC) is calculated to compare the maintenance Costs before and after implementing RCM II and LCC methods. The results reveal that the total Cost of maintenance after implementing RCM II and LCC is Rp. 258,424,522, which is lower than the previous total maintenance Cost of Rp. 300,000,000. Thus, the application of RCM II and LCC methods effectively optimizes the maintenance of Banner printing machines in a Cost-efficient manner. This research contributes to enhancing the effectiveness and efficiency of maintenance in the Banner printing industry.
Measurement of Relative Efficiency Using Data Envelopment Analysis (DEA) Method to Improve Efficiency in Perum Pegadaian Syariah Aryani, Enny; Iriani; Rusindiyanto; Endang Pudji W; M. Frizky Feri Setiawan; Fadilla Umeida Putri
Tekmapro Vol. 20 No. 2 (2025): TEKMAPRO
Publisher : Program Studi Teknik Industri Universitas Pembangunan Nasional Veteran Jawa Timur

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

Abstract

The development of the Islamic financial industry which includes banking, insurance and pawnshops is basically a very long historical process. Perum Pegadaian Syariah, as one of the state-owned enterprises, is faced with the challenge of competing and improving efficiency in the growing Islamic financial industry. This study aims to measure the operational efficiency of Islamic Pawnshops in East Java Province using the Data Envelopment Analysis (DEA) method. This study identifies the relative efficiency of each Pawnshop unit from several branches of Pegadaian Syariah, including Joko Tole, Babakan, Sidokare, Mayjend Sungkono, and Blauran. The results showed that four branches were efficient with a relative efficiency value of 1, while Sidokare branch showed inefficiency with a value of 0.908. Improvement recommendations for Sidokare branch include reducing service time, operating costs, and increasing the number of customers and collateral. This research is expected to guide Perum Pegadaian Syariah in contributing to improving efficiency and competitiveness in an increasingly competitive market.
Co-Authors Aryani, Enny Fadilla Umeida Putri Faisyah Rizky Hidayati Ilmi, Mohammad Nachrul Iriani M. Frizky Feri Setiawan Rusindiyanto Tarisa Nindyas Sari Timothy Anugrah Sugiarto Yekti Condro Winursito