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All Journal TEKMAPRO Journal of Industrial Engineering and Management Journal La Multiapp IIJSE The Indonesian Journal of Computer Science
Indiyanto, Rus
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Bakery Bread Production System Analysis with Failure Mode and Effect Analysis Method: Case Study of the Armina Food Bread Business Pradana, Fauzi Yoga; Indiyanto, Rus
Journal La Multiapp Vol. 5 No. 3 (2024): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v5i3.1415

Abstract

Bread was first developed during the Mesopotamian culture in the Egyptian region 10,000-12,000 years ago. Bread is a food product processed from fermenting wheat flour with yeast or other rising agents, then baking. The development of bread in Egypt then spread to Greece until it finally spread throughout Europe. Armina Food Bread Business in Gresik is a business that operates in the field of bread production. However, Armina Food's bread business experienced problems in bread production which was not optimal and stable, especially in terms of bread sales which experienced a decline due to bread production defects. Research regarding the risks of bread production was carried out at Armina Food Bakery Business using the Failure Mode and Effects Analysis (FMEA) method. FMEA is an analysis technique that identifies production process failures and plans to prevent them from happening again. Bread production risk analysis is carried out by identifying and measuring the risks of fresh bread production. The FMEA method aims to identify risks by considering the criteria of Severity (S), Occurrence (O), and Determination (D). The research results show that the highest risk lies in raw materials (differences in the quality of raw materials from each supplier), production costs (damage to machinery and equipment), and products (competition with other products). Based on risk analysis of bread production using the FMEA method, it was found that the highest risks lie in raw materials, production costs and product.
Lean Manufacturing Analysis to Minimize Waste on The Production Process Silambi, Yobel; Indiyanto, Rus
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.v13i1.3768

Abstract

Improvements to eliminate or reduce non-value added activities that cause waste with Lean Manufacturing analysis on CV ABC. Lean Manufacturing is a continuous effort to eliminate (waste) and increase value add (value added) products (goods/services) to provide value to customers (customer value). Objective This research is to determine the factors that cause waste in the production process and to give proposal on company method minimize waste which has been identified. Data in this research are quantitative and qualitative data. Primary data processing in the form of standard time calculations took 30 data, which means 30 batches of fish roulade production. Lean Manufacturing Approach carried out by analyzing the flow of information and the flow of goods using the Value Stream Mapping method. Waste Which dominant happen that is time waiting, unnecessary movements and processes it is not in accordance with. Waste of time waiting occurs in process steaming. Waste time wait on process production can be minimized by adding production facilities which can reduce the dough waiting outside the machine steaming. Waste movement which no need can minimized by increased supervision from superiors as well as providing firm action to workers. Waste for non-compliant processes can be reduced by clarify standard operation Which applies in company and stick it in every production process, as well do maintenance machine in a way regular so that performance machine always deep conditions which good. Reduced time to reduce lead time ie amounting to 37.78 minutes. This time is obtained from subtraction the process of taking spices, weighing flour and vegetables as well as preparation and maximization activities process draining with addition facility. Matter this result change time leads time production from 674.44 minutes to 636.66 minutes.
Identification of Waste Using Waste Assessment Model Method in the Application of Lean Manufacturing at PT. X Wicitra, Fasha Husna; Indiyanto, Rus
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 8 No 3 (2025): Sharia Economics
Publisher : Sharia Economics Department Universitas KH. Abdul Chalim, Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v8i3.7238

Abstract

PT X is a company that produces animal feed for poultry such as chickens, ducks, quails, and pigs. The animal feed products offered are in accordance with the nutritional needs of each growth period. The form of animal feed produced by PT X can be in the form of concentrates, mash, pellets or crumble. The challenge faced by PT X is that with the variety of products produced and the relatively large scale of production, the products produced often experience defects, so the products must be held in the warehouse for further processing. Forms of defects detected include abnormal texture, high moisture, and mixing. In addition, defects due to torn sacks also cause non -value-added activities because the products must be repackaged, resulting in delays in the delivery of orders for these products. The problem will be analyzed using the waste assessment model method to find critical waste, then a fishbone diagram is used to find the root of the problem and improvement proposals will be made using the 5W1H method. from the results of the calculation using the WAM method, the final results of the calculation using the Waste Assessment Model (WAM) method show that the highest waste in the animal feed production process is waste defects with a percentage value of 29.20%, waste inventory with a percentage of 19.63% and waste motion with a percentage of 13.20%. Then, improvement proposals will be given, including increasing operator training and evaluating the production process, implementing a digital-based monitoring system such as ERP / WMS for real-time stock visibility, adding conveyors or handlifts in the loading area to minimize manual load lifting movements to make it more effective. From the proposed improvements given, it can reduce the lead time by about 373.33 seconds or 6 minutes and 13 seconds.
ANALISIS SISTEM PRODUKSI HELM PADA PT.X DENGAN PENDEKATAN SISTEM DINAMIS Donoriyanto, Dwi Sukma; Rahmawati, Nur; Indiyanto, Rus
Tekmapro Vol. 18 No. 2 (2023): TEKMAPRO
Publisher : Program Studi Teknik Industri Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/tekmapro.v18i2.342

Abstract

X merupakan perusahaan yang memproduksi helm yang menerapkan produksi make to stock dengan permintaan yang fluktuatif dan tidak menentu. Dengan kemampuan yang dimiliki, perusahaan tidak setiap bulannya dapat memenuhi permintaan dan kemudian menghasilkan order backlog. PT.X berusaha untuk memenuhi permintaan pelanggan dengan mengubah kapasitas produksi dengan memanfaatkan tenaga kerja yang dimiliki. Permasalahan dalam perusahaan ini adalah banyaknya variable dalam sistem yang terlibat dalam perencanaan kapasitas produksi. Dengan demikian, diharapkan penggunaan software vensim nantinya dapat menyelesaikan permasalahan ini dengan diusulkannya untuk membuat model dan simulasi sistem dinamis. Dari hasil verifikasi dan validasi didapat, H0 diterima, yang artinya tidak ada perbedaan secara signifikan ketersediaan helm yang akan diproduksi pada tahun 2022 sampai 2027 dengan hasil output pada software vensim yang telah dibuat. Setelah dilakukan simulasi dinamik dengan 4 skenario maka dipilih skenario peningkatan bahan baku helm. Dengan ketersediaan setiap tahun helm sebagai berikut: pada tahun 2022 yaitu sebesar 2000 unit, ketersediaan helm pada tahun 2023 yaitu sebesar 1150 unit, ketersediaan helm pada tahun 2024 yaitu sebesar 600 unit, ketersediaan helm pada tahun 2025 yaitu sebesar 350 unit, ketersediaan helm pada tahun 2026 yaitu sebesar 400 unit, dan ketersediaan helm pada tahun 2027 yaitu sebesar 750 unit.
Analysis of Service System using Simulation Al-Zaher, Abdulqader; Indiyanto, Rus; Donoriyanto, Dwi Sukma
Tekmapro Vol. 19 No. 2 (2024): TEKMAPRO
Publisher : Program Studi Teknik Industri Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/tekmapro.v19i2.395

Abstract

Simulation is a method for evaluating model behavior in various situations that allow decision making. This simulation requires the development of a model that represents the system. Therefore, the simulation will act as a system operation. After carrying out model simulations, the real impact of each alternative and action will be identified. Discrete simulation models the operation of a system as a series of discrete events in time. Each event occurs at a specific time and marks a change in state in the system. Due to changes in the system, this simulation will prevent failures without disrupting the actual system. The results of verification and validation obtained 3 replications with an average replication time in real time, namely 19.33 minutes and in ProModel software, namely 9.65 minutes. Based on the confidence interval, the output results obtained in the ProModel simulation are with the interval [5.888 ≤ μ1 – μ2 ≤ 13.478], because the value 0 is not within the range μ1 – μ2 so it can be said that the data obtained is invalid. This means that there is a difference between the time in the real system and the simulation output results with the Promodel software. Because the results obtained are not yet valid, the simulation output cannot be applied to real service system processes at Coffee X. Suggestions for further research are to be more careful in inputting data and re-checking it, so that the simulation output obtained will be valid so that it can be applied to real situations.
Co-Authors Al-Zaher, Abdulqader Dwi Sukma Donoriyanto Nur Rahmawati Pradana, Fauzi Yoga Silambi, Yobel Wicitra, Fasha Husna