Ainul Mardhiah
Universiti Sultan Zainal Abidin

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Product Defect Analysis in Almond Cookies using Statistical Quality Control Destia Nur Romadhoni; Safinta Nurindra Rahmadhia; Ainul Mardhiah; Afolabi-Owolabi Oluwafunke Toyin
Indonesian Journal of Applied Science and Engineering Vol. 3 No. 1 (2025)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/ijase.v3i1.164

Abstract

Quality control is an essential aspect of food production because product defects can reduce consumer acceptance, production efficiency, and economic value. Small-scale food industries often face challenges in maintaining product consistency due to limited quality control systems and resources. Therefore, this study aimed to characterize product defects and provide an initial evaluation of production-process variability in almond cookies produced by a small-scale food industry in Yogyakarta using a Statistical Quality Control (SQC) approach. A descriptive observational study was conducted on four production batches comprising 2,125 almond cookies. Data collected included production volume, number of defective products, and defect types identified through visual inspection using a check sheet. The data were analyzed using defect-rate calculations, Pareto analysis, and Statistical Process Control (SPC) using a p-chart. A total of 99 defective products were identified, corresponding to an overall defect rate of 4.66%, while the first-pass conformity rate was 95.34%. Pareto analysis identified shape nonconformity as the dominant defect, accounting for 45.45% of total defects, followed by topping damage (17.18%), color non-uniformity (14.14%), poor dough cohesion (13.13%), and structural breakage (10.10%). The three most frequent defect types accounted for 76.77% of all defects. The p-chart showed that the four observed batch proportions were within the calculated control limits (UCL = 7.40%; LCL = 1.92%). However, because only four production batches were observed, these control-chart results should be interpreted as an initial indication of process variability rather than definitive evidence of long-term statistical control. The findings indicate that shape nonconformity is the primary quality-improvement priority, while further monitoring using a larger number of production batches is required to establish reliable process-control limits and investigate the underlying causes of defects.
Packaging Quality Control in a Small-Scale Tempeh Industry Using Pareto Analysis and Control Charts Ardhiansyah Pradana; Safinta Nurindra Rahmadhia; Ainul Mardhiah; Ali Jebreen
Indonesian Journal of Applied Science and Engineering Vol. 4 No. 2 (2026)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/ijase.v4i2.165

Abstract

Tempeh is a traditional Indonesian fermented food with high economic value and is widely consumed by the public. In the tempeh industry, packaging quality is a crucial factor as it protects the product during fermentation, storage, and distribution. Packaging defects such as torn packaging or loose seals can reduce product quality and increase the risk of contamination. This study aims to analyze the level of packaging defects and evaluate the stability of the tempeh packaging process using a Statistical Quality Control (SQC) approach. The study was conducted at a tempeh industry in Yogyakarta using observation data for seven days of production. The analysis was conducted using check sheets, Pareto diagrams, and c-charts. The results showed that during the observation period, 179 packaging defects were found out of a total production of 3,670 kg. The 700 g packaging size had the highest number of defects at 71 defects (39.7%), followed by the 425 g packaging with 64 defects (35.8%), while the 150 g and 270 g packaging each contributed 14.5% and 10.0% of the total defects, respectively. Pareto analysis showed that 700g and 425g packaging contributed 75.5% to the total defects, making them a top priority in the quality improvement program. The c-chart analysis showed a CL value of 25.57, a UCL of 40.74, and a LCL of 10.40. All observation points were within the control limits, indicating that the packaging process was in statistically controlled conditions. However, the relatively high number of defects indicated the need for continuous improvement efforts, especially in large-sized packaging. This study demonstrated that the application of the SQC method can be used effectively to identify quality improvement priorities and evaluate the stability of the packaging process in small and medium-scale tempeh industries.