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Wiwik Sulistiyowati
Muhammadiyah University of Sidoarjo, Indonesia

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GALVALUM ROOF QUALITY CONTROL ANALYSIS TO MINIMIZE DEFECTS USING THE FMECA (FAILURE MODE EFFECT AND CRITICALITY ANALYSIS) AND RCA (ROOT CAUSE ANALYSIS) METHODS AT PT TRISAKTI JAYA Rangga Bustanul Firdaus; Wiwik Sulistiyowati
International Journal of Economic Integration and Regional Competitiveness Vol. 2 No. 10 (2025): International Journal of Economic Integration and Regional Competitiveness
Publisher : Antis Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijeirc.v2i10.380

Abstract

Objective: This study aims to identify and solve the problem of product defects that occur at PT. Trisakti Jaya, a galvalume production company located in the Margo Mulyo Permai warehouse block C-6 Surabaya, which has 6 long vehicles and approximately 200 employees. These defects have reduced customer satisfaction and caused financial losses for the company. Method: The research employs the FMECA (Failure Mode Effect and Criticality Analysis) and RCA (Root Cause Analysis) methods. The FMECA method explains how the percentage of product defects can occur and what percentage arises after using this method, while the RCA method determines how the most effective solutions to problems can be obtained to help the company find the best corrective actions. Result: The results show that tears and dents are the highest types of defects, with the highest defect rate occurring in December. This is because the defect data exceeded the upper limit of the control chart, where the tear UCL (Upper Control Limit) is 2470 while the defect data is 2451, and the dent UCL is 3700 while the defect data is 3677. The tear defect is mainly caused by a lack of care when using the machine and minimal lighting in several warehouse corners. Novelty: The study provides a practical improvement recommendation by reminding operators about proper cutting machine operation and repairing lighting in less bright warehouse areas, offering a targeted and data-driven approach to reduce recurring defects in the galvalume production process.
ANALYSIS OF CUSTOMER SATISFACTION LEVEL USING QFD AND IPA METHODS TO IMPROVE SERVICE QUALITY Iil Nur Khamilatul Fitria; Wiwik Sulistiyowati
International Journal of Economic Integration and Regional Competitiveness Vol. 2 No. 8 (2025): International Journal of Economic Integration and Regional Competitiveness
Publisher : Antis Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijeirc.v2i8.382

Abstract

Objective: The high level of complaints about service in the last three months—29.2% in September, 35.2% in October, and 35.2% in November—motivates this research to analyze the factors influencing the level of customer satisfaction at Gym Fitness Of Sidoarjo. Method: Data analysis was conducted by distributing questionnaires, which were then tested for validity and reliability. The analysis methods used are Quality Function Deployment (QFD) and Important Performance Analysis (IPA), which clarify how improvements can be made. Result: The research results reveal that the service variables in the dimensions of reliability and satisfaction that do not meet customer expectations include: workers providing wholehearted service, workers maintaining the cleanliness and comfort of the gym room, equipping gym equipment and repairing damaged facilities and infrastructure, and providing a suggestion box. Novelty: These findings suggest that improvements in these service areas can increase customer satisfaction and help maintain customer loyalty at Gym Fitness of Sidoarjo.
QUALITY CONTROL OF SANDWICH PANEL PRODUCTS USING SEVEN TOOLS AND SIX SIGMA METHODS Herlyana Putra Azizul Hakim; Wiwik Sulistiyowati
International Journal of Economic Integration and Regional Competitiveness Vol. 2 No. 8 (2025): International Journal of Economic Integration and Regional Competitiveness
Publisher : Antis Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijeirc.v2i8.390

Abstract

Objective: The purpose of this research is to identify product defect factors and provide technical recommendations to improve quality. Method: The methods used are Seven Tools and Six Sigma to identify and evaluate potential failures at PT XYZ. The Seven Tools method by applying improvement steps and analyzing the types of defects with the Six Sigma method. Results: The results showed that the factors causing product defects that can be seen from the fishbone diagram are known, namely, humans, machines, materials, and methods and provide suggestions for improvements that are applied to minimize the occurrence of defects. After the corrective action taken, it was able to minimize the number of defects by 5%. Novelty: PT XYZ is a company engaged in manufacturing that produces sandwich panels. The problem faced by this company is the large number of product defects during the production process in the October-December 2023 period amounting to 10% of total production.
QUALITY CONTROL OF SANDAL OUTSOLE USING SIX SIGMA METHOD AND FAILURE MODE AND EFFECT ANALYSIS (FMEA) Nadila Arvianti; Wiwik Sulistiyowati
International Journal of Economic Integration and Regional Competitiveness Vol. 2 No. 8 (2025): International Journal of Economic Integration and Regional Competitiveness
Publisher : Antis Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijeirc.v2i8.392

Abstract

Objective: The aim of this research is to determine the type of product defect, determine the production process capability, determine the RPN value, and provide recommendations for improvement. Method: The method used is the Six Sigma method and Failure Mode and Effect FMEA. Results: The research results show that there are 3 types of product defects with a DPMO value of 5109, and a sigma of 4.07. The dominant defect is a rupture defect with a percentage of 70.55%. The main cause of failure is that the engine's heat temperature is unstable. Corrective action that can be taken is to carry out machine maintenance and use a blower in the production area. Novelty: CV. Carita Niaga is a footwear manufacturing company. Sandal outsole is a product that has a lot of demand so it is produced most often and often experiences problems, namely product defects in quite large quantities, namely 1.7%.
QUALITY CONTROL ANALYSIS ON WHITE CRYSTAL SUGAR PRODUCTS USING STATISTICAL PROCESSING CONTROL AND SEVENTOOLS METHODS AT PT. XYZ Rahadian Trisna Kusuma Kusuma; Wiwik Sulistiyowati
International Journal of Economic Integration and Regional Competitiveness Vol. 2 No. 6 (2025): International Journal of Economic Integration and Regional Competitiveness
Publisher : Antis Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijeirc.v2i6.395

Abstract

Objective: PT. XYZ is a manufacturing company that produces white crystalline sugar, which is a natural sweetener from sugarcane raw materials used as raw materials for households and the food industry. At PT. XYZ has a problem, namely the number of defects exceeds the standard in the company, namely in June amounted to 52,702 (Ku), July 64,282 (Ku), August 69,741 (Ku), while the number of defects in June amounted to 304.5 (Ku), July amounted to 357.5 (Ku), and August amounted to 39 (Ku) with a defect percentage in 3 months of 0.6%. Method: From these data, it shows that these conditions exceed the established standard (Zero Defect) and improvement must be carried out. The solution to this problem uses the methods of Statistical Processing Control and Seven Tools. Result: The results of the data calculation are the highest defects in refined sugar by 51%, gravel sugar by 40%, and sapon sugar by 9%, this is due to the production process not being maximized because of the lack of supervision by superiors during the production process. Novelty: This study provides an applied approach in identifying and analyzing production defects using Statistical Processing Control and Seven Tools to support quality improvement and minimize product defects, offering a practical contribution to continuous improvement in the sugar manufacturing industry.
RISK MITIGATION IN SAUSAGE PRODUCTION USING A COMBINATION OF SUPPLY CHAIN OPERATIONS REFERENCE (SCOR) AND HOUSE OF RISK (HOR) METHODS Bastian Trimaryono; Wiwik Sulistiyowati
International Journal of Economic Integration and Regional Competitiveness Vol. 2 No. 6 (2025): International Journal of Economic Integration and Regional Competitiveness
Publisher : Antis Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijeirc.v2i6.396

Abstract

Objective: This study aims to identify risk factors that affect product quality in the sausage production process at PT Ciomas Adisatwa and determine appropriate mitigation measures to address these risks. Method: The methods used are SCOR mapping and House of Risk (HOR). In HOR phase 1, risk events and risk agents were identified, severity and occurrence were assessed, correlations between risk events and risk agents were determined, and ARP values were calculated. Result: The results identified 17 risk events and 24 risk agents, with the highest ARP values in A3, A6, and A10. In the second phase of the HOR, seven mitigation strategies were developed. Some of the highest-priority strategies included PA2, PA5, and PA6. Novelty: The novelty of the study lies in the combination of SCOR mapping and House of Risk to identify and mitigate risks in the production flow, offering a structured approach to improve product quality in the sausage production process.
Co-Authors Bastian Trimaryono Herlyana Putra Azizul Hakim Iil Nur Khamilatul Fitria Nadila Arvianti Rahadian Trisna Kusuma Kusuma Rangga Bustanul Firdaus