RANCANG BANGUN APLIKASI WEB PETA KENDALI SPC MENGGUNAKAN JAVASCRIPT DAN PLOTLY
DOI:
https://doi.org/10.36805/mtj0yb40Keywords:
Statistical Process Control, Web Application, Control Chart, JavaScript, Plotly.jsAbstract
This research aims to develop a lightweight, free, and installation-free Statistical Process Control (SPC) web application to address the limitations of expensive commercial software such as Minitab and SPSS, which are often inaccessible to students and small-scale users. The application, built with JavaScript, HTML, and Plotly.js, focuses on providing essential control charts including xbar-R, i-chart, p-chart (constant and variable size), and np-chart. The design process follows simplified phases of the Software Development Life Cycle—requirement analysis, design, development, and testing—without complex architectures or high-end hardware requirements. Data input is provided via CSV files, while chart rendering and analysis are performed directly in the browser. Verification was conducted by comparing chart outputs with reference textbooks, showing consistent results. The developed application offers responsive visualization, user-friendly interaction, and accurate calculations, making it suitable for academic use and reducing dependency on costly commercial tools. The open-source nature of the project allows further enhancement by the SPC community.
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