Claim Missing Document
Check
Articles

Found 2 Documents
Search

Analisis Faktor-Faktor Yang Berhubungan Dengan Kelelahan Fisik Karyawan (Studi Kasus PT. X) Gita Pati Humairoh; Rama Dani Eka Putra
Jurnal Serambi Engineering Vol 5, No 3 (2020)
Publisher : Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jse.v5i3.2140

Abstract

PT. X is a plant in rubber production. Rubber factories in some material handling activities still use material handling manually and depending on the worker, physical requesting from these workers needs to be considered the factors that influence it. The research objective is to study any factors related to the work of employees in the production department of PT. X. The method used in this study is a cross-sectional study that is research carried out or collected simultaneously at the same time, this is done in order to get the good results. The results in this study obtained factors that have an effect on the physical, sex of employee with physical employee with a value of P value = 0,000 and work intensity of employees with physical employees with a value of P value = 0,000.
Analysis of Bread Production Quality at SMEs Industry using Statistical Process Control (SPC) Tessa Zulenia Fitri; Rama Dani Eka Putra; Foci, Nia Arfina; Yasin, Muhamad; Munanda, Muhammad Arif
Journal of Engineering Science and Technology Management (JES-TM) Vol. 5 No. 2 (2025): September 2025
Publisher : Journal of Engineering Science and Technology Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jestm.v5i2.281

Abstract

XYZ Industry is a micro-enterprise engaged in bread production. However, defects such as burnt bread, irregular shapes, and inconsistent weights are still frequently found during production, which affects customer satisfaction and production efficiency. This study aims to analyze and optimize bread production quality using the Statistical Process Control (SPC) approach. The methodology includes data collection over 20 production days, analysis using Pareto diagrams, p control charts,  and R charts, and cause and effect diagrams. The findings indicate an average defect rate of 4.79%, with burnt bread being the most prevalent defect (30%). The p control chart identified several days with assignable variation, while the  and R charts revealed that the bread weight process was statistically in control. The main causes of defects were related to human factors, machine limitations, and the absence of standardized procedures. Recommendations include establishing standard operating procedures (SOPs), conducting operator training, and procuring supporting tools. The consistent application of SPC is expected to enhance both the quality and efficiency of production