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Journal : Nusantara Science and Technology Proceedings

Sales Forecasting Analysis of Sea Snack at PD. Adi Anugrah Food Industry Zella Azzahra Achmadani; R. Rochmoeljati
Nusantara Science and Technology Proceedings 2nd International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Covid-19 pandemic affects the industry players. The manufacturing industry, the culinary industry, and other industries face the hardship of running their business. The pandemic has seriously impacted the prospects for selling products and services. Sales that are classified as increasing and decreasing cause a lack of material preparation and prediction of needs. PD. Adi Anugrah Food Industry experienced erratic sales and lacked preparation in raw materials and other requirements. In this study, an analysis of sales forecasting of snacks made from sea juice was carried out. Sales forecasting is carried out during the period January – December 2020. The estimated sales forecast using the weighted moving average method is 1167 units, and the moving average method is 1166 units. Forecasting analysis was carried out using WinQsb and PomQM software.
Welding Quality Control Using Statistical Quality Control (SQC) Methods and Failure Mode Effect Analysis (FMEA) at PT. XYZ Rr. Rochmoeljati; Isna Nugraha; Nafa Artha Cahaya Mulia
Nusantara Science and Technology Proceedings 3rd International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2022.2707

Abstract

PT XYZ is the largest shipbuilding company in Indonesia. The company's products are shipbuilding and ship design based on consumer demand. In the production process of the BRS W-303 ship, defects were still found during welding, such as incomplete penetration and slag inclusion. The purpose of this study was to determine the percentage of the most dominant defects and the factors causing defects and to provide suggestions for improving the quality of welding. The methods used are Statistical Quality Control (SQC) and Failure Mode Effect Analysis (FMEA). SQC tools are check sheets, stratification, scatter diagrams, attribute control charts, and cause and effect diagrams. Then continue the FMEA analysis based on the cause-and-effect diagram for proposed improvements. Based on the results of Statistical Quality Control (SQC) research, it is known that the most dominant ship welding defects are incomplete penetration (32.81%) and slag inclusion (23.26%). Based on the results of research on Failure Mode Effect Analysis (FMEA) it is known that the root cause of the highest problem with RPN 288 is the determination of the root gap is too small or narrow. Recommendations for improvement that can be proposed are to ensure that the welder must read and understand the WPS used to weld correctly.