Pengendalian Kualitas Produksi Air Menggunakan Diagram Kendali Multivariate Exponentially Weighted Moving Variance (MEWMV) Dan Spatial Signed Rank MEWMA (SSRM) Di PT XYZ

Sabina, Aura (2025) Pengendalian Kualitas Produksi Air Menggunakan Diagram Kendali Multivariate Exponentially Weighted Moving Variance (MEWMV) Dan Spatial Signed Rank MEWMA (SSRM) Di PT XYZ. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Produksi air bersih merupakan tantangan utama dalam industri pengolahan air, terutama di PT XYZ, yang berlokasi di Tigaraksa, Tangerang. Parameter kualitas seperti kekeruhan, klorin, dan Total Dissolved Solids (TDS) harus dipantau untuk memastikan proses produksi tetap memenuhi standar yang telah ditetapkan. Penelitian ini bertujuan untuk menganalisis pengendalian kualitas air menggunakan diagram kendali Spatial Signed Rank MEWMA (SSRM) dan Multivariate Exponentially Weighted Moving Variance (MEWMV). Langkah penelitian dimulai dengan mendeskripsikan karakteristik kualitas air, melakukan uji dependensi antar variabel menggunakan Bartlett's test, dan uji normalitas multivariat menggunakan Shapiro-Wilk test. Hasil penelitian menunjukkan bahwa diagram kendali MEWMV dengan pembobot ω=0,1 dan λ=0,1 serta L=2,7900, variabilitas proses pada Fase I terkendali secara statistik setelah dilakukan iterasi pengamatan out of control sebanyak 7 kali. Pada Fase II, variabilitas proses telah terkendali secara statistik. Transformasi spatial signed rank diterapkan sebelum analisis SSRM. Pada diagaram SSRM dengan nilai pembobot λ=0,1, rata-rata proses pada Fase I terkendali secara statistik setelah dilakukan iterasi pengamatan out of control sebanyak 7 kali. Namun, pada Fase II masih terdapat pengamatan out of control, sehingga proses dinyatakan tidak terkendali secara statistik. Berdasarkan analisis kapabilitas proses diperoleh bahwa kinerja proses produksi air di PT XYZ sudah kapabel secara multivariat.
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The production of clean water is a major challenge in the water treatment industry, particularly at PT XYZ, located in Tigaraksa, Tangerang. Quality parameters such as turbidity, chlorine, and Total Dissolved Solids (TDS) must be continuously monitored to ensure that the production process complies with established standards. This study aims to analyze water quality control using the Spatial Signed Rank MEWMA (SSRM) and Multivariate Exponentially Weighted Moving Variance (MEWMV) control charts.The research steps began with describing the characteristics of water quality, followed by testing the dependency between variables using Bartlett’s test and assessing multivariate normality using the Shapiro-Wilk test. The results show that the MEWMV control chart with weight parameters ω=0,1 and λ=0,1, and control limit L=2.7900, indicated that the process variability in Phase I was statistically in control after seven iterations of removing out-of-control observations. In Phase II, the process variability remained statistically controlled.A spatial signed rank transformation was applied prior to the SSRM analysis. Using the SSRM chart with a weight of λ = 0,1, the process mean in Phase I was also statistically in control after seven out-of-control observations were iteratively addressed. However, in Phase II, several out-of-control points were still observed, indicating that the process was not statistically in control. Based on the multivariate process capability analysis, the performance of the water production process at PT XYZ is considered multivariately capable.

Item Type: Thesis (Other)
Uncontrolled Keywords: Kapabilitas proses, MEWMV, Pengendalian kualitas, Produksi Air, SSRM, MEWMV, Process Capability, Quality Control, SSRM, Water Productions
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD9980.5 Service industries--Quality control.
Q Science > QA Mathematics > QA278 Cluster Analysis. Multivariate analysis. Correspondence analysis (Statistics)
T Technology > TD Environmental technology. Sanitary engineering > TD259.2 Drinking water. Water quality
Divisions: Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User: Aura Sabina
Date Deposited: 01 Aug 2025 05:58
Last Modified: 01 Aug 2025 05:58
URI: http://repository.its.ac.id/id/eprint/125538

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