PENGENDALIAN KUALITAS PUPUK NITROGEN, PHOSPAT, KALIUM  (NPK) PELANGI FUSION DI PT PUPUK KALIMANTAN TIMUR  MENGGUNAKAN PETA KENDALI MEWMA & MEWMV

Bungan Tcania Paulina Grace; Puspita Kartikasari; Deby Fakhriyana

doi:10.14710/j.gauss.15.1.110-120

DOI: https://doi.org/10.14710/j.gauss.15.1.110-120

PENGENDALIAN KUALITAS PUPUK NITROGEN, PHOSPAT, KALIUM (NPK) PELANGI FUSION DI PT PUPUK KALIMANTAN TIMUR MENGGUNAKAN PETA KENDALI MEWMA & MEWMV

*Bungan Tcania Paulina Grace - Departemen Statistika, Fakultas Sains dan Matematika, Undip, Indonesia

Puspita Kartikasari - Departemen Statistika, Fakultas Sains dan Matematika, Universitas Diponegoro, Indonesia

Deby Fakhriyana - Departemen Statistika, Fakultas Sains dan Matematika, Universitas Diponegoro, Indonesia

BibTex Citation Data :

@article{J.Gauss40573,
    author = {Bungan Grace and Puspita Kartikasari and Deby Fakhriyana},
    title = {PENGENDALIAN KUALITAS PUPUK NITROGEN, PHOSPAT, KALIUM  (NPK) PELANGI FUSION DI PT PUPUK KALIMANTAN TIMUR  MENGGUNAKAN PETA KENDALI MEWMA & MEWMV},
    journal = {Jurnal  Gaussian},
  volume = {15},
    number = {1},
    year = {2026},
    keywords = {Control Chart, MEWMA, MEWMV, Statistical Process Control (SPC)},
    abstract = {The NPK Pelangi Fusion fertilizer is one of the main products manufactured by PT Pupuk Kalimantan Timur. NPK fertilizer is a blend of various plant nutrients, primarily Nitrogen, Phospat, and Kalium, aimed at enhancing crop yields. However, deviations from the NPK fertilizer specifications can lead to inconsistent plant growth and low harvest yields. Statistical Process Control (SPC) is a method used to process data and monitor production processes using statistical techniques, with the goal of detecting changes in process performance through the use of control charts. In this study, the Multivariate Exponentially Weighted Moving Variance (MEWMV) control chart is used to monitor the variance of the production process due to its optimal performance in detecting small variance shifts. Additionally, the Multivariate Exponentially Weighted Moving Average (MEWMA) control chart is used to monitor the mean of the NPK Pelangi Fusion production process, as it quickly detects subtle shifts in variance. The analysis results indicate that the optimal weighting for the MEWMV control chart is ω=0.2 and λ=0.4, resulting in an Average Run Length (ARL) of 370. Similarly, the optimal weighting for the MEWMA control chart is λ=0.06, with an upper control limit of H=9.80 and an ARL of 200. This study concludes that the mean and variance of the multivariate production process have been effectively controlled.},
   issn = {2339-2541},   pages = {110--120}  doi = {10.14710/j.gauss.15.1.110-120},
    url = {https://ejournal3.undip.ac.id/index.php/gaussian/article/view/40573}
}

Citation Format:

Abstract

The NPK Pelangi Fusion fertilizer is one of the main products manufactured by PT Pupuk Kalimantan Timur. NPK fertilizer is a blend of various plant nutrients, primarily Nitrogen, Phospat, and Kalium, aimed at enhancing crop yields. However, deviations from the NPK fertilizer specifications can lead to inconsistent plant growth and low harvest yields. Statistical Process Control (SPC) is a method used to process data and monitor production processes using statistical techniques, with the goal of detecting changes in process performance through the use of control charts. In this study, the Multivariate Exponentially Weighted Moving Variance (MEWMV) control chart is used to monitor the variance of the production process due to its optimal performance in detecting small variance shifts. Additionally, the Multivariate Exponentially Weighted Moving Average (MEWMA) control chart is used to monitor the mean of the NPK Pelangi Fusion production process, as it quickly detects subtle shifts in variance. The analysis results indicate that the optimal weighting for the MEWMV control chart is ω=0.2 and λ=0.4, resulting in an Average Run Length (ARL) of 370. Similarly, the optimal weighting for the MEWMA control chart is λ=0.06, with an upper control limit of H=9.80 and an ARL of 200. This study concludes that the mean and variance of the multivariate production process have been effectively controlled.

Note: This article has supplementary file(s).

Fulltext View|Download | Research Instrument

CTA Bungan Tcania

Subject
Type	Research Instrument
	Download (287KB) Indexing metadata

Email colleagues

Keywords: Control Chart, MEWMA, MEWMV, Statistical Process Control (SPC)

Article Metrics:

Article Info

Section: Articles

Language : ID

In Vol 15, No 1 (2026): Jurnal Gaussian

Aparisi, F. & Garciaz-Diaz, J. C., 2004. Optimization of univariate and multivariate exponentially weighted moving-average control charts using genetic algorithm. Computers & Operations Research, Vol. 31, Hal: 1437–1454
Gasperz, V. & Fontana, A., 2011. Lean Six Sigma for Manufacturing and Services. Bogor: Vinchirsto Publication
Heizer, J. & Render, B., 2008. Operations Management. Jakarta: Salemba Empat
Huwang, L., Yeh, A. B. & Wu, C.-W., 2007. Monitoring Multivariate Process Variability for Individual Observations. Journal of Quality Technology, Vol. 39, Hal: 258-278
Johnson, R. A. & Wichern, D. W., 2007. Applied Multivariate Statistical Analysis. New Jersey: Pearson Prentice Hall
Montgomery, D. C., 2009. Introduction to Statistical Quality Control, Sixth Edition. New Jersey: Wiley
Morrison, D. F., 1990. Multivariate Statistical Methods. New York: McGraw-Hill, Inc
Mudassir, R., 2022. Di Balik Rencana IPO Pupuk Kaltim dan Bidikan Tiga Pabrik Baru. Tersedia: https://bisnisindonesia.id/article/di-balik-rencana-ipo-pupuk-kaltim-dan-bidikan-tiga-pabrik-baru (diakses pada tanggal 29 Maret 2023)
Prabhu, S. S. & Runger, G. C., 1997. Designing a multivariate EWMA control chart. Journal of Quality Technology, Vol. 29, No. 1, Hal: 8-15
PT Pupuk Kalimantan Timur, 2021. Laporan Tahunan 2021, Bontang: PT Pupuk Kalimantan Timur
PT Pupuk Kalimantan Timur, 2022. Laporan Tahunan 2022, Bontang: PT Pupuk Kalimantan Timur
Raissi, S., 2009. Multivariate process capability indices on the presence of priority for quality characteristics. Journal of Industrial Engineering International, Vol. 5, No. 9, Hal: 27-36
Woodall, W. H. & Montgomery, W. H., 1999. Research Issues and Ideas in Statistical Process Control. Journal of Quality Technology, Vol. 31, No. 4, Hal: 376-386

Last update:

No citation recorded.

Last update:

No citation recorded.

The Authors submitting a manuscript do so on the understanding that if accepted for publication, copyright of the article shall be assigned to Media Statistika journal and Department of Statistics, Universitas Diponegoro as the publisher of the journal. Copyright encompasses the rights to reproduce and deliver the article in all form and media, including reprints, photographs, microfilms, and any other similar reproductions, as well as translations.

Jurnal Gaussian and Department of Statistics, Universitas Diponegoro and the Editors make every effort to ensure that no wrong or misleading data, opinions or statements be published in the journal. In any way, the contents of the articles and advertisements published in Jurnal Gaussian journal are the sole and exclusive responsibility of their respective authors and advertisers.

The Copyright Transfer Form can be downloaded here: [Copyright Transfer Form Jurnal Gaussian]. The copyright form should be signed originally and send to the Editorial Office in the form of original mail, scanned document or fax :

Dr. Rukun Santoso (Editor-in-Chief)
Editorial Office of Jurnal Gaussian
Department of Statistics, Universitas Diponegoro
Jl. Prof. Soedarto, Kampus Undip Tembalang, Semarang, Central Java, Indonesia 50275
Telp./Fax: +62-24-7474754
Email: jurnalgaussian@gmail.com