Pengendalian Kualitas Produk Spon Kasur Menggunakan Exponentially Weighted Moving Average (Ewma) pada UD.  Celcius Gegutu Timur

Fransiska Prisilia Lingking; Lisa Harsyiah; Emmy Dyah Sulistyowati; Adis Tia Juli Agil Asri

doi:10.29303/smj.v2i1.273

Authors

Fransiska Prisilia Lingking Program Studi Matematika, Universitas Mataram
Lisa Harsyiah Program Studi Statistika, Universitas Mataram
Emmy Dyah Sulistyowati Program Studi Teknik Mesin, Universitas Mataram
Adis Tia Juli Agil Asri Program Studi Statistika, Universitas Mataram

DOI:

https://doi.org/10.29303/smj.v2i1.273

Keywords:

ARL, Capability, EWMA, Mattress Sponge, Quality

Abstract

Problems that arise at UD. Celsius, one of the manufacturers of sponge mattress products in the East Gegutu area, said that differences in product weight will cause a decrease in product quality. Consequently, here, quality is of primary concern. Because the Exponentially Weighted Moving Average (EWMA) control chart can detect small average changes, this study aims to examine the quality control of mattress sponge products using this chart. The information used relates to the mass of a mattress sponge product measuring 160×120×25 cm, with four variables, namely X_1,X_2,X_3 and X_4, Quality control in this research uses a weighting factor value of  = 0.4. Based on the research results, the assumption that is not fulfilled is the assumption of data randomness, so that the EWMA control chart pattern formed shows that the data is not statistically controlled. However, there is no data that is out of control, so in this study the Average Run Length (ARL) value of 27,204 indicates that there will be data that is first out of control, namely the 27th or 28th data. And the results of the capability analysis of the process show that the production process is not capable because the values of Cp=0.3432 and Cpk=0.3373 where the values of Cp,Cpk<1, this is due to the influencing factors, namely man, machine, material and method factors.

References

Montgomery, D. C. (1990). Pengantar Pengendalian Kualitas Statistik.

Wibawati, W., Rahma, W. A., Ahsan, M., & Udiatami, W. M. (2022). Penerapan Peta Kendali Neutrosophic Exponentially Weighted Moving Average (NEWMA) X dalam Monitoring Rata-Rata Proses Ketebalan Kaca. Jambura Journal of Mathematics, 4(1), 119–125. https://doi.org/10.34312/jjom.v4i1.11993

Iyan, A., Santoso, R., & Wilandari, Y. (2016). Komputasi Metode Exponentially Weighted Moving Average untuk Pengendalian Kualitas Proses Produksi Menggunakan GUI Matlab (Studi Kasus: PT. Djarum Kudus SKT Brak Megawon Iii). Gaussian, 5(2009), 673–682. https://ejournal3.undip.ac.id/index.php/gaussian/article/view/14724

Munir, S. (2019). Aplikasi Grafik Pengendali T2 Hotelling dan Kapabilitas Proses untuk Pengendalian Kualitas pada Produksi Arang Briket. (Issue 2). Universitas Islam Negeri Maulana Malik Ibrahim.

Razzaq, M. A. (2021). Analisis Kemampuan Proses Pengantongan di Departemen Produksi IB PT. Petrokimia Gresik. Universitas Islam Indonesia Yogyakarta.

Nuralisa, R. A., & Musfiroh, I. (2022). Analisis Kapabilitas Proses Produk Farmasi X dengan Pendekatan Six Sigma di PT. Y. Majalah Farmasetika, 7(5), 494–506. https://doi.org/10.24198/mfarmasetika.v7i4.40370

Maulidiyah, H. (2022). Penerapan Grafik Pengendali Multivariate Cumulative Sum (MCUSUM) Dan Kapabilitas Proses pada Pengendalian Kualitas Air PDAM Penerapan Grafik Pengendali Multivariate Cumulative Sum (MCUSUM) dan Kapabilitas Proses. Universitas Islam Negeri Maulana Malik Ibrahim.

Pratama, Y., & Susanti, L. H. (2018). Kapabilitas Proses Mesin Pengemas Produk Pangan Bubuk : Studi Kasus pada Produk Tepung Terigu. Aplikasi Teknologi Pangan, 7(1), 7–11. https://doi.org/10.17728/jatp.2076

Hidayatulloh, M. (2021). Perbandingan Bagan Kendali X ̅-R Dengan Exponentially Weighted Moving Average Disertai Kapabilitas Proses Dalam Pengendalian Kualitas Produk Gem-Gem Orange 6.5 Oz X 12 X 9 (Studi pada PT. Sin A Sixfifteen Pasuruan Jawa Timur).

Cahyono, T. (2015). Statistik Uji Normalitas. Yayasan Sanitarian Banyumas.

Montgomery, D. C. (2009). Introduction to Statistical Quality Control 6th Edition (S. Dumas (ed.); 6th ed.). Don Fowley.

Roziana, R., Ramadhani, E., & Anwar, S. (2022). Analisis Gangguan Listrik di PLTU Nagan Raya Menggunakan Bagan Kendali Exponentially Weighted Moving Average dan Decision on Belief. Interval : Jurnal Ilmiah Matematika, 2(2), 104–117, https://doi.org/10.33751/interval.v2i2.6515.

Safrudin, Y. N., & Sari, D. P. (2014). Analisis Penyebab Ketidaksesuaian Produk Adiprima Pada Pt . Adps Menggunakan Metode Seven Tools. October 2013.