Product Quality Control Analysis with Statistical Process Control (SPC) Method in Weaving Section (Case Study PT.I)

Yusita Attaqwa, Aqidatun Hamidiyah, Firman Ardiansyah Ekoanindyo

Abstract


Abstract - PT.I is a company that produces synthetic rattan furniture on an export scale. The various products at PT.I are an attraction for consumers, such as classic and modern weaving models. However, the number of defects produced is higher than the tolerance limit company. Based on data from the weaving section, it shows that there are 5 types of defects that are not in accordance with the standards and quality that have been determined by the company. The purpose of this study is to identify the types of defects that often occur in PT. I and identify the main factors causing product defects using the SPC method. The seven tools consist of a check sheet, histogram, stratification, scatter diagram, p control chart, Pareto diagram, and fishbone diagram. The results showed that the number of defects in October and November exceeded the limit set by the company. The highest level of disability occurred in October. The higher the number of production, the higher the number of product defects. Based on the results of the p control chart, it can be seen that the product is outside the control limits that it should have. The process is in a state of uncontrollability or is still experiencing deviations. To suppress or reduce the number of product defects that occur in production, 3 types of dominant defects can be applied, namely the woven model (254 units), loose woven (122 units), and nail-looking woven (119 units). Factors causing defects in production are derived from human factors/workers, methods, materials/raw materials and work environment.

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References


1. Assauri, Sofyan. 1998. Manajemen Operasi Dan Produksi. Jakarta:LP FE UI

2. Darsono.2013. Analisis Pengendalian Kualitas Produksi dalam upaya Mengendalikan Tingkat Kerusakan Produk.Jurnal Ekonomi. 1-17

3. Elmas, Muhammad Syarif Hidayatullah. 2017. Pengendalian Kualitas Dengan Menggunakan Metode Statistical Quality Control (SQC) Untuk meminimumkan Produk Gagal Pada Toko Roti Barokah Bakery. Jurnal Penelitian Ilmu Ekonomi. 6. 15-22.

4. Fakhri, Al Faiz. 2010. Analisis Pengendalian Kualitas Produksi di PT. Masscom Grahpy dalam Upaya Mengendalikan Tingkat Kerusakan Produk Menggunakan Alat Bantu Statistik. Skripsi. Fakultas Ekonomi. Universitas Diponegoro. Semarang

5. Hartini, S. 2012. Peran Inovasi: Pengembangan Kualitas Produk dan Kinerja Bisnis. Jurnal Manajemen dan Kewirausahaan. 18-88

6. Ilham, Nur Muhammad. 2012. Analisis Pengendalian Kualitas Produk dengan Menggunakan Statistical Processing Control (SPC) pada PT. Bosowa Media Grafika (Tribun Timur).Skripsi.Fakultas Ekonomi dan Bisnis. Universitas Hasanuddin. Makasar.

7. Kaban, Rendy. 2014. Pengendalian Kualitas Kemasan Plastik Pouch Menggunakan Statistical Process Control (SPC) Di PT Incasi Raya Padang.Jurnal Optimasi Sistem Industri. 518-547.

8. Kartika, Hayu. 2013. Analisis Pengendalian Kualitas Produk CPE Film dengan Metode Statistical Process Control pada PT. MSI. Jurnal Ilmiah Teknik Industri. 50-58.

9. Nastiti, Heni. 2013. Analisis Pengendalian Kualitas Produk Dengan Metode Statistical Quality Control. Jurnal Manajemen. 414-423.

10. Nasution, M. N. 2005. Manajemen Mutu Terpadu. Bogor : Ghalia Indonesia.

11. Norawati, Suarti dan Zulher.2019. Analisis Pengendalian Mutu Produk Roti Manis dengan Metode Statistical Process Control (SPC) pada Kampar Bakery Bangkinang.Jurnal Ekonomi.103-110.

12. Prawirosentono, Suyadi. 2007. Filosofi Baru Tentang Manajemen Mutu Terpadu Abad 21 “Kiat Membangun Bisnis Kompetitif”.Jakarta:Bumi Aksara.

13. Suhartini, Nanih. 2020. Penerapan Metode Statistical Process Control (SPC) dalam Mengidentifikasi Faktor Penyebab Utama Kecacatan pada Proces Produk ABC. Jurnal Ilmiah Teknologi dan Rekayasa.10-23.

14. Tannady, Henndy.2015. Pengendalian Kualitas. Graha Ilmu. Jakarta Utara




DOI: https://doi.org/10.29040/ijcis.v2i3.43

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