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All Journal STRING (Satuan Tulisan Riset dan Inovasi Teknologi)
Sutrisno, Sutrisno
Universitas Singaperbangsa Karawang
Computer Science & IT Mathematics

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Journal : STRING (Satuan Tulisan Riset dan Inovasi Teknologi)

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Tinjauan Kinerja Supply Chain Management (SCM) pada PT. BJ Aridho, Mohamad; Sutrisno, Sutrisno
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 8, No 3 (2024)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v8i3.22728

Abstract

OPTIMALISASI PRODUKSI REPAIR UNIT MOBIL CACAT PART DENGAN ELIMINASI WASTE MENGGUNAKAN LEAN MANUFACTURING Abdurrahman, Rosyad Zaki; Sutrisno, Sutrisno
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 9, No 3 (2025)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v9i3.25989

Abstract

In the automotive industry, increasing competition requires companies to continuously optimize production processes to enhance quality and efficiency. PT. XYZ faces issues in the repair process of units with defective parts, causing production delays and unmet daily targets. This research aims to identify and eliminate waste occurring in the production process, particularly waste delays, by applying the Lean Manufacturing concept. The methods used are Value Stream Mapping (VSM) and Fishbone Diagrams to analyze process flow and identify the root causes of waste. Primary data were obtained through direct observation and interviews with relevant parties at PT. XYZ, while secondary data consisted of historical production records.The research results indicate that the most significant waste delays occur in the repair unit for vehicles with defective parts, caused by insufficient manpower, material delays, and suboptimal machine performance. Through improvement suggestions based on the 5W+1H analysis, PT. XYZ is expected to reduce time waste, improve production efficiency, and meet the set daily production targets. The application of Lean Manufacturing has proven effective in helping the company identify and address waste issues in the production process.
Analisis Pengendalian Kualitas Produk Kemeja Menggunakan Metode Statistical Process Control (SPC) pada Online Shop Lavrins Astuti, Widiya; Sutrisno, Sutrisno; Reynaldy, Faryz
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 10, No 1 (2025)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v10i1.26352

Abstract

Lavrins is an online shop that sells various kinds of fashion products, especially women's shirts. Lavrins markets his products to various digital marketplaces such as Shopee, TikTok, Tokopedia and Instagram. The resulting product is a t-shirt which is very popular among teenagers. The shirt production process is carried out by vendors who collaborate with Lavrins, but in this process not all products produced are of good quality. This results in products experiencing several problems in the form of product defects such as incorrect stitching patterns, sloppy stitching and button defects. The aim of the research is to reduce errors in defective products produced by relevant vendors in order to improve the quality of products marketed. This research uses the static process control (SPC) method, this method analyzes the possible causes that occur in the resulting defective products and appropriate decisions will be made based on the analysis results obtained. The results of the research carried out show that there are three types of defects, namely sloppy stitching, wrong patterns, and button defects, with the most dominant or highest defect being sloppy stitching at 51.06%, followed by wrong patterns at 44.68%, and the last one is button defects of 4.62%. There are other defects in the products sold by Lavrins which are caused by machine, worker and material factors.
Co-Authors Abdurrahman, Rosyad Zaki Aridho, Mohamad Astuti, Widiya Reynaldy, Faryz