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All Journal Jurnal Teknologi Industri Pertanian JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Jurnal Taguchi : Jurnal Ilmiah Teknik dan Manajemen Industri
Alfathsyah, Arrasyid
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Public Health

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Model Konseptual Perancangan Fasilitas Industri Konveksi Pakaian dengan Soft System Methodology Alfathsyah, Arrasyid; Nurhasanah, Nunung; Zakaria, Siti Wardah; Tripiawan, Wawan
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 9, No 2 (2024): May 2024
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v9i2.2879

Abstract

Facility design refers to the method of organizing factory facilities to support the efficiency of the production process and the effectiveness of production results. This improvement is done by updating the design of previous facilities or designing a complete facility that has not yet been built. In designing this facility design system, Soft System Methodology (SSM) was used. SSM is a structured approach to information system development that is used to understand the problem thoroughly, design conceptual models, assess the feasibility and desired changes, and then implement them into reality. In this research, SSM proved to be a highly effective framework for designing facility design systems in the context of the clothing convection industry. SSM includes abstract problem mapping, needs analysis of stakeholders involved in the system, CATWOE analysis, depiction of desired and undesired inputs and outputs through IO Diagram, expression description through Rich Picture, and grouping of core activities with Conceptual Modeling. The result of this research is a description that is traceable to the problem situation that exists in the facility design system so that it can know and master the involvement of actors in the system and the relationship between actors and activities that take place.Keywords – Clothing Convection Industry, Facility Design, Soft System Methodology(SSM), System Approach.
PENERAPAN LEAN MANUFACTURING MENGGUNAKAN WASTE ASSESSMENT MODEL PADA PROSES PRODUKSI DI WORKSHOP KIDS PLAYGROUND PT XYZ Alfathsyah, Arrasyid; Tri Purwandari, Aprilia; Nurhasanah, Nunung; Aribowo, Budi
Jurnal Ilmiah Teknik dan Manajemen Industri Vol. 4 No. 2 (2024): Jurnal Taguchi : Jurnal Ilmiah Keilmuan Teknik dan Manajemen Industri
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/tgc.v4i2.174

Abstract

Manufacturing companies today must be able to compete with each other, one way is to improve operational performance. Lean manufacturing plays an important role in minimizing waste and increasing productivity. PT XYZ Workshop is a provider of children's amusement parks, facing challenges in production capacity, especially for large projects. PT XYZ Workshop experienced various problems, including storage, production planning, material handling, and quality control during 2022-2023. This study applies lean manufacturing to identify and overcome production problems in PT XYZ workshop. The methods used include Waste Assessment Model (WAM) and Pareto Diagram to analyze critical waste, 5 Why Analysis to identify root causes, and FMEA to determine Potential Failure Cause with the highest RPN value. The results show that critical waste consists of Defect (19.46%), Over Production (18.72%), Inventory (17.44%), Motion (13.89%), and Waiting (10.72%). The main root causes are "No Special Responsible Workforce" (68%) and "No Clear SOP" (27%). The highest RPN was found in the problem of material not arriving on time, with the solution being the Planned Order Schedule procedure.
IMPLEMENTATION OF SOFT SYSTEM METHODOLOGY DEVELOPMENT OF A DECISION SUPPORT SYSTEM BASED ON THE INTERNET OF THINGS INTHE SUNFLOWER AGRO-INDUSTRY SUPPLY CHAIN Nurhasanah, Nunung; Wajdi, Muhammad Raihan; Mudrikah, Isna Ibnah; Adhipramana, Ivan; Samijayani, Octarina; Adlina, Ginang Natilla; Muthohar, Akhmad; Alfathsyah, Arrasyid; Aribowo, Budi; Haryadi, Dody
Jurnal Teknologi Industri Pertanian Vol. 34 No. 2 (2024): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2024.34.2.149

Abstract

Sunflower (Helianthus annuus L.) has the potential for high added economic value to be developed. Indonesia has the opportunity to develop a sunflower agro-industry which is processed into cooking oil. There has not been much research related to the sunflower agro-industry supply chain. A plan for improvements to the supply chain cannot yet be carried out, because the situation in the supply chain has not been comprehensively elaborated. Therefore, this research aimed to analyse the situational supply chain of the sunflower agribusiness. The method used was soft system methodology developed by Checkland. This research has succeeded in designing a conceptual model that produces two human activities, namely: 1) Development of production devices for the drying process of sunflower seeds based on the Internet of Things, (2) Utilization of the Blynk application to support the decisions on the sunflower agro-industry supply chain network, and (3) Development of the prototype digital platform decision support system on the production device based on internet of things. These three activities are also recommendations given as corrective actions to increase the productivity of the sunflower agro-industry. Recommended actions have also been successfully assessed through RE3IS. Future development of this research is to build a digital prototype of an internet of thongs-based decision support system platform that can be easily accessed by sunflower agro-industry managers. The stages in this research are still limited to the recommendation stage for corrective action. The implementation stage can be used as research development in the future. Apart from that, situational analysis is still limited to upstream and intermediate supply chain networks. Therefore, situational analysis of the downstream supply chain network can be carried out in the future. Keywords: cooking oil, internet of things, soft system methodology, sunflower seed, sunflower agro-industry supply chain
Co-Authors Adhipramana, Ivan Adlina, Ginang Natilla Budi Aribowo Haryadi, Dody Mudrikah, Isna Ibnah Muthohar, Akhmad Nunung Nurhasanah Samijayani, Octarina Tri Purwandari, Aprilia Wajdi, Muhammad Raihan Wawan Tripiawan Zakaria, Siti Wardah