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All Journal STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Industri Inovatif : Jurnal Teknik Industri
Astuti, Widiya
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Computer Science & IT Industrial & Manufacturing Engineering Mathematics

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PENERAPAN METODE STATISTICAL QUALITY CONTROL (SQC) DAN ANALISIS FMEA UNTUK MENURUNKAN TINGKAT REJECT HOLES CIGARETTE PAPER GRADE CORESTA 60 DI PT BUKIT MURIA JAYA (BMJ) Astuti, Widiya; Hapid Maksum, Apid; Herwanto, Dene
Industri Inovatif : Jurnal Teknik Industri Vol 15 No 1 (2025): Inovatif Vol. 15 No. 1
Publisher : Prodi Teknik Industri S1 Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/industri.v15i1.11880

Abstract

PT Bukit Muria Jaya (BMJ) merupakan salah satu perusahaan manufaktur yang memproduksi berbagai produk salah satu yang diproduksi ialah kertas rokok atau cigarette paper grade Coresta 60. PT BMJ mengalami perubahan tingkat reject holes pada produk cigarette paper grade coresta 60 yang cukup signifikan dibandingkan dengan periode-periode sebelumnya. Untuk mengatasi masalah ini, peneliti menerapkan metode SQC dan analisis FMEA untuk menurunkan tingkat reject holes. Perhitungan menggunakan metode SQC mengguanakan beberapa tools statistik seperti check sheet, histogram, diagram pareto, diagram fishbone, dan peta kendali. Hasil dari penelitian dengan menggunakan metode SQC menunjukkan jika hasil perhitungan data reject masih berada diluar batas kendali baik atas maupun bawah, sehingga perusahaan harus melakukan perbaikan terus menerus agar persentase reject berada dalam batas kendali. Sedangkan hasil dari penelitian dengan metode FMEA didapatkan hasil jika faktor material merupakan penyebab utama reject holes produk cigarette paper grade coresta 60 dimana faktor material ini disebabkan karena kandungan lignin yang lebih tinggi daripada kandungan selulosanya yang mendapatkan nilai skor RPN sebesar 576 dan disusul oleh faktor material lain yang disebabkan oleh kualitas bahan baku yang tidak sesuai dengan yang ditentukan oleh perusahaan yang mendapat skor 576 juga
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 Dene Herwanto Hapid Maksum, Apid Reynaldy, Faryz Sutrisno, Sutrisno