Effect Diagram Research Articles

Determining the Root Causes of Project Delay: A Case Study

The study aims to identify and analyze the reason for the project delay in ABC Company located in the heart of Malaysia specializing in oil and gas and oil and gas-related products. The study utilized observation techniques and data from an official report. The observation was done on an ongoing project and the assessment of record was done on previously completed projects. The outcome of such observation was analysed and simplified using a tool namely the Cause and Effect Diagram or Fishbone Diagram. The study found that shortage of manpower, local authority approval, improper planning, and the COVID-19 pandemic as the root causes that led to project delay.

Development of Cost-Effective Sn-Free Al-Bi-Fe Alloys for Efficient Onboard Hydrogen Production through Al–Water Reaction

Leveraging the liquid-phase immiscibility effect and phase diagram calculations, a sequence of alloy powders with varying Fe content was designed and fabricated utilizing the gas atomization method. Microstructural characterizations, employing SEM, EDS, and XRD analyses, revealed the successful formation of an incomplete shell on the surfaces of Al-Bi-Fe powders, obviating the need for Sn doping. This study systematically investigated the microstructure, hydrolysis performance, and hydrolysis process of these alloys in deionized water. Notably, Al-10Bi-7Fe exhibited the highest hydrogen production, reaching 961.0 NmL/g, while Al-10Bi-10Fe demonstrated the peak conversion rate at 92.99%. The hydrolysis activation energy of each Al-Bi-Fe alloy powder was calculated using the Arrhenius equation, indicating that a reduction in activation energy was achieved through Fe doping.

Toward an Integrated Social-ecological Assessment of a Traditional Upland Rice-based Agroecosystem in Southern Philippines

Located in Southern Philippines, the Sarangani traditional agroecosystem currently sits at the nexus of ecological devastation, bio-cultural erosion, and pervasive modernization. Upland farms in these remote areas are inhabited predominantly by smallholder tribal households who cultivate rice landraces using traditional farming methods. Integrated agroecosystem assessment revealed Sarangani social-ecological system (SES) components, along with connections and feedback loops that underlie their interactions. DPSIR and CCA jointly identified drivers of change in Sarangani SES, revealed its key features, and investigated the whole gamut of issues impacting it. CCA, based on an Ishikawa cause and effect diagram, identified upland poverty, tribal culture and government mismanagement as root causes of intractable problems in the Sarangani SES while DPSIR successfully gauged the suitability of responses instituted by the local government. Study results can thus be used as bases for policy/programs that will resolve problem root causes in the Sarangani SES. In addition, steps must be undertaken to mitigate the effects of climate change which has proven to be utterly devastating in these vulnerable areas. Finally, for traditional agroecosystems like the Sarangani SES, interventions that uphold human well-being while conserving tribal culture/resources and preserving the environment are therefore warranted. Keywords: social-ecological systems, DPSIR, causal chain analysis, Sarangani, traditional agroecosystem

Improving influenza vaccination assessment and uptake, one step at a time in a cancer center.

280 Background: Influenza immunization has shown to decrease morbidity and mortality of influenza infections. From September to December 2022, at the infectious diseases (ID) clinic at our institution, 73% of the patients did not undergo influenza immunization assessment during their clinical encounters and only 3% of the patients had the influenza vaccine administered. Furthermore, documentation of vaccine discussion was done in 73% of cases. Our aim was to improve vaccination assessment from 73% noncompliant to 50%. Methods: A multidisciplinary team of nurses, nurse leaders, pharmacists, and quality specialists was assembled to analyze baseline data on influenza vaccination assessment, administration, and documentation at the ID clinic from Sept to Dec 2022 using The Model for Improvement. Quality tools were utilized including Cause and Effect Diagram, Current State Process Flow Chart and Prioritization Matrix, to identify and prioritize opportunities for improvement creating a worklist for improvement focus. Vaccine assessment measured via EPIC immunization tab marked as reviewed, discrete areas to document vaccination and their administration were not a part of nursing or provider’s workflow. Using the Plan, Do, Study, Act (PDSA) method, the following changes were tested: PDSA Cycle 1; A green sticker highlighted those patients needing vaccine assessment. PDSA Cycle 2; A smart phrase was created for documentation in nurses’ notes and PDSA Cycle 3; provider’s notes regarding vaccine recommendations. Results: Interventions were associated with an improvement of influenza assessment via the immunization tab marked as reviewed in the ID outpatient clinic from 73% noncompliance to 3% noncompliance from September 2023 to March 2024. Concurrent with improvement of our assessment process, our on-site vaccination rate increased from 97% error to 89% error (Table) and there was 50% improvement in provider’s documentation. Conclusions: The formation of a multidisciplinary working group and implementation of quality tools interventions resulted in timely significant improvement in vaccination assessment, documentation, and administration. Subsequently, we were granted institutional approval to add an EPIC clinical decision support tool to standardize influenza vaccination documentation. Future strategies include implementation and evaluation of the utilization of Health Maintenance tool in the ID clinic before expansion to other clinics in our institution. Influenza vaccine administration vs outpatient visits in the ID clinic. Month/Year # Outpatient visits # Vaccines administered in clinic % of vaccines administered Influenza Sep-Dec 2022 1827* 54 2.95% Influenza Sept 2023-March 2024 2682 251 9.36% *Includes video and telephone visits.

Solar chimney design in rural areas of Anhui, China: CFD simulation, energy and carbon footprint assessment

China is currently undergoing a large-scale renovation of rural buildings. The solar chimney, a passive solar system, emerges as a cost-effective and easily implementable solution, particularly suitable for rural regions. This study designs a solar chimney in the Hui architectural style for renovating residential buildings in rural areas of Anhui province. A selected pilot building serves as the testbed for the solar chimney implementation, with plans to extend the design to other local renovation projects. Computational Fluid Dynamics (CFD) simulations are employed to compare various solar chimney configurations and identify the optimal design for the case study. Results from the CFD simulations highlight the optimal configurations for the pilot building's solar chimney design. Additionally, a comparative analysis of heating and cooling energy consumption is conducted between buildings with and without solar chimneys to assess the energy-saving potential. Furthermore, a life cycle assessment evaluates the environmental impacts of solar chimney construction and the environmental benefits during operation. It is revealed that the solar chimney can reduce building energy consumption. The greenhouse gas emissions associated with solar chimney construction can be offset within one year. The study presents an effect diagram illustrating the renovated building with a solar chimney. This study provides valuable insights into the application of solar chimneys in developing rural areas to enhance indoor comfort and promote energy savings. Additionally, it offers guidance for exploring optimal solar chimney configurations for specific geographical regions areas.

Pengendalian Kualitas Produk dengan Metode Statistical Quality Control untuk Mengurangi Produk Rusak pada UMKM Gethuk Anyar di Ngawi

MSMEs Gethuk Anyar is an industry operating in the culinary sector, the problem faced is the company's difficulty in maintaining the quality of the gethuk products it produces. This research aims to find out how quality control is implemented using statistical tools in an effort to control the quality and level of product damage at Gethuk Anyar MSMEs in Ngawi. Quality control analysis uses tools in the form of check sheets, cause and effect diagrams, Pareto diagrams and control charts. The results of the control chart analysis show that production is in an uncontrolled state. This can be seen from the control graph where the points fluctuate very highly and irregularly. Based on the Pareto diagram, priority repairs need to be made for the dominant types of damage, namely hard defects (59%), soft defects (27%), burnt defects (10%). From the analysis of the cause and effect diagram, it can be seen that the factors that cause damage originate from human/worker factors, work methods, production machines, work environment and raw materials so that companies can take preventive and corrective action in order to reduce the level of damage and improve product quality.

Risk assessment in production of functional food products by means of RCA method

According to the results of review of the regulatory legal acts and standardization documents, the necessity has been determined to develop a methodology for risk assessment in production of functional food products and its introduction into operation for implementation of the quality control system of food products fortified with iodine. This article represents the description of development of risk assessment methodology assigned for assessing the quality control system for functional foods fortified with iodine. The hazardous event in this case is the non-compliance of the food product with the regulatory requirements, in particular the decrease of iodine content in the functional foods down to a level below 30 mcg/100g of the product, which is less than 15% of an adult person's daily requirement. To assess the probable risks that can affect the peculiar features of the functional foods, RCA root cause mapping system was proposed that includes the standard methods: Ishikawa cause and effect diagram, fault tree analysis FTA, failure mode and effect analysis FMEA, and Pareto analysis. The technology of producing of the cooked sausages fortified with iodine-containing food ingredients was chosen as the object of research, as this technology is associated with a wide variety of technological modes and methods of raw materials processing, as well as the storage conditions of the ready products. The results of the study included a review of the collected data, consideration of the hypothesis, expert opinion on the most probable root causes of failures and losses, and the recommended preventive and corrective actions.

Use of the DMAIC Lean Six Sigma quality improvement framework to improve beta-lactam antibiotic adequacy in the critically ill.

Beta-lactam antibiotics are widely used in the intensive care unit due to their favorable effectiveness and safety profiles. Beta-lactams given to patients with sepsis must be delivered as soon as possible after infection recognition (early), treat the suspected organism (appropriate), and be administered at a dose that eradicates the infection (adequate). Early and appropriate antibiotic delivery occurs in >90% of patients, but less than half of patients with sepsis achieve adequate antibiotic exposure. This project aimed to address this quality gap and improve beta-lactam adequacy using the Define, Measure, Analyze, Improve, and Control Lean Six Sigma quality improvement framework. A multidisciplinary steering committee was formed, which completed a stakeholder analysis to define the gap in practice. An Ishikawa cause and effect (Fishbone) diagram was used to identify the root causes and an impact/effort grid facilitated prioritization of interventions. An intervention that included bundled education with the use of therapeutic drug monitoring (TDM; i.e. drug-level testing) was projected to have the highest impact relative to the amount of effort and selected to address beta-lactam inadequacy in the critically ill. The education and TDM intervention were deployed through a Plan, Do, Study, Act cycle. In the 3 months after "go-live," 54 episodes of beta-lactam TDM occurred in 41 unique intensive care unit patients. The primary quality metric of beta-lactam adequacy was achieved in 94% of individuals after the intervention. Ninety-four percent of clinicians gauged the education provided as sufficient. The primary counterbalance of antimicrobial days of therapy, a core antimicrobial stewardship metric, was unchanged over time (favorable result; P = .73). Application of the Define, Measure, Analyze, Improve, and Control Lean Six Sigma quality improvement framework effectively improved beta-lactam adequacy in critically ill patients. The approach taken in this quality improvement project is widely generalizable to other drugs, drug classes, or settings to increase the adequacy of drug exposure.

IDENTIFICATION OF CONTRACTUAL ISSUES IN AGRICULTURE PROCESS: A DEMATEL- BASED MODEL

The agriculture sector contributes vastly to a nation’s economy, including Malaysia. Nevertheless, limited research has looked on the contractual issues in agriculture process. The purpose of this study was to explore the contractual issues in the agriculture process and determine the relationship between both variables. The respondents involved seven experts from the agriculture sector in Sabah, Malaysia and a survey questionnaire were used to gather the data. Subsequently, the DEMATEL method was used to create the causal and effect diagram between the contractual issues. The results showed that Delayed Delivery Issues (Issue A) is the most crucial contract issue in agriculture and must be addressed. Furthermore, the most crucial relationship existed between Crucial Contract Issues (Issue A) and Contract Duration (Issue E). These issues should be studied further to improve the agriculture sector.

Situational analysis of human resources in the Indonesian sugarcane agro-industry in the era of industry 4.0

Abstract The development of Industry 4.0 technology, new challenges need to be faced in developing human resources to work. This research aims to collect, evaluate and organise information about the internal and external environment in the development of human resources in the industrial era 4.0 on the cane sugar production process. A combination of qualitative and quantitative methods was used in this research. The collection of data through literature review, field survey, expert interview and questionnaire from 37 Indonesian sugar factories regarding HR competencies both soft and hard, the application of 4.0 technology in Indonesian sugar factories, the current state of sugar production process technology, and the state of sugar cane land that is important to develop in the future. The findings obtained are that in terms of human resources, the availability of competence infrastructure is needed; in terms of technology 4.0, the need for wider application of artificial intelligence; in terms of sugar production process, the cut-load-transport needs new technology; and from the land aspect, West Nusa Tenggara has the potential to be developed into sugar cane land in the future. The information is then expressed in the form of rich picture, root definition, CATWOE, conceptual model, cause and effect diagram and black box. The description of the state of human resources in the cane sugar agro-industry can be used as a basis for the implementation of human resource development strategies in the cane sugar agro-industry in the industrial era 4.0 in order to increase the productivity of human resources.

MATLAB-based Image Super-resolution Technique

This thesis provides an in-depth study of MATLAB-based image super-resolution techniques, covering the application of traditional methods (Fourier Transform, Wavelet Transform, Sparse Representation, Bicubic) and deep learning methods (SwinIR, NAFnet, Path-Restore). In the section on the background and significance of image super-resolution techniques, the wide range of applications of MATLAB in the field of image processing is explored. In the technical foundation section, the principles of image super-resolution technology are detailed, relevant image processing functions and tools in MATLAB are introduced, and the key steps of the technology are described. In the practical application, the comparative analysis of different methods is demonstrated through an example of image super-resolution in a real scene, including the effect diagram and MATLAB code. In the conclusion, the advantages and disadvantages of each method are summarized, which provides a certain reference for the future development of image super-resolution technology.

Quality Improvement Programme on Implementing Co-Production in Care Programme Approach in an In-Patient Rehabilitation Psychiatric Unit to Enhance Patient Engagement and Positive Step-Down Discharges

IntroductionThis quality improvement (QI) programme was proposed to integrate co-production principles into rehabilitation psychiatry, focusing on enhancing patient-centred care and promoting positive step-down discharges within the mental health system. The backdrop of the QI programme was the essential role of rehabilitation psychiatry in aiding the recovery and reintegration of individuals with mental health challenges, and sub-optimal audit results about patient’s attendance and positive step-down discharges at an in-patient psychiatric unit.ObjectivesThe QI programme aimed to implement and explore Co-production, a transformative approach involving patients and healthcare professionals as equal partners.-To promote co-production in psychiatric in-patient service-To improve patient experience in the CPA meetings-To reduce anxiety associated with the CPA meetings and discharge planning-To assess staff’s limitations and barriers in promoting co-production. Methods The QI programme was divided into phases, including diagnostic, problem-solving, and evaluation. It employed diagnostic tools such as the fishbone cause and effect diagram and the 5-Why Technique for root cause analysis. The project’s aim was aligned with the Model of Improvement, guided by the three fundamental questions. Change ideas were developed using driver’s diagram and were then evaluated through PDSA cycles. Quantitative analysis utilized paired t-tests to assess the significance of changes, and qualitative analysis focused on patient perspectives gathered through the co-produced CPA questionnaire. Emerging themes from the questionnaire responses were integrated into the project’s trajectory through narrative synthesis. Predictions were formulated to measure project success: 50% patient attendance in the next CPA meetings, 70% positive step-down discharges, and improved Hamilton Anxiety Rating Scale (HAM-A) scores.ResultsThe iterative Plan-Do-Study-Act (PDSA) cycles demonstrated the evolving impact of interventions on patient engagement and discharge outcomes. Implementation of patient information leaflets, staff training, and a CPA agenda template led to increased attendance and positive step-down discharges. Analysis of HAM-A scores revealed a substantial decline in anxiety levels for almost all participants, suggesting the effectiveness of the interventions. Discharge outcomes were influenced by patient engagement and tailored interventions. Patient responses revealed themes such as challenges during transitions to community care, empowerment from shared decision-making, and diverse experiences in communication with healthcare professionals.ConclusionsThe CPA agenda template improved patient experiences by enhancing communication and patient-centeredness.Disclosure of InterestNone Declared

RE-DESAIN KARTON BOX PADA KEMASAN BAG IN BOX (BIB) COKELAT CAIR MENGGUNAKAN METODE DFSS UNTUK KEAMANAN PRODUK PERUSAHAAN COKELAT GRESIK

Gresik Chocolate Company is a food company with the main product of liquid chocolate. This research will focus on products with BIB packaging because, Gresik Chocolate Company in March-June there were 294 BIB carton boxes returned by the customer and there were 167 BIB carton boxes that were found defective or unfit for delivery in the warehouse storage area. In this study, the technique used was Design For Six Sigma with DMADV approach. In this study the tools used are control charts, cause and effect diagrams, and pareto diagrams. DMADV (Define, Measure, Analyze, Design, and Verify) is a methodology for designing and improving new services, products or processes. After re-design and taking checking samples using pareto charts when analyzing the results of new design verification, from 327 sample boxes calculated defect data 77 units or 23% defective carton boxes before re-design to 8 units or 2.4% defective carton boxes after re-design. The implementation of the DFSS method with the DMADV approach proved effective in replanning the BIB carton box design. Because it succeeded in making an optimal design by eliminating 4 types of defects in carton boxes based on VOC to 0. We recommend that companies provide clear SOPs and regular training for operators to better understand and be aware of the potential dangers that cause product defects.

Risk Assessment of Potential Injury during School Chemical Experiments Supported by the Database of Safe and Didactically Validated Procedures e-BEDOX

Considering the importance of the use of experiment as a source of knowledge in chemistry and its teaching, it is necessary to pay attention to the risks of its implementation. The text presents the procedures and results of a risk assessment of 101 selected school chemical experiments that are used in lower secondary school practice, including their inclusion in textbooks, as well as in leisure activities. The actual risk assessment of these chemical experiments has been carried out using the Ishikawa diagram, also known as the cause and effect diagram, in order to highlight the possible hazards involved in their conduct. In relation to the identified risks, the existing instructions for all selected experiments were evaluated and new information and safety instructions were added to meet the requirements for safe and didactically validated procedures according to standard CSN 01 8003. As the processed experiments contain chemicals of virtually all hazard classes, it is very important that all real risks are taken into account when using them in schools. The entire set of produced materials, including the original video recordings, has been processed into an electronic database e‑BEDOX, which is available at: https://ebedox.cz.

Implementing Additive Manufacturing for Sustainability in Operations: Analysis of Enabling Factors

Additive manufacturing (AM) is heralded as a new manufacturing paradigm with significant environmental, economic, and social sustainability consequences. The purpose of this study is to identify and evaluate the sustainable enablers of AM. The research has identified 19 sustainable enablers of AM belonging to three areas: social, economic, and environmental, through an in-depth literature review. The decision-making trial and evaluation laboratory (DEMATEL) approach has been applied after taking inputs from industry experts to develop causal relationships (cause–effect diagram) and to analyze each enabler's influence. The cause–effect diagram has been developed based on threshold values. Our observations revealed that weight reduction, reduced time to market, mass customization, and personalization are the most critical enablers for sustainability. From visual representation, reduced toxicity of materials, no need for tooling, and ease of accessibility for remote part production have a substantial impact on effect enablers. This study will facilitate AM practitioners to systematically identify and prioritize essential enablers from a sustainability perspective. Practitioners should focus on these cause group enablers because it will help in controlling the effect of group enablers to improve sustainability in operations. Furthermore, insights from the study will enable policymakers to make policies leading to sustainable development. The novelty lies in identifying 19 enablers and incorporating the DEMATEL model to assess the causal relationship.

Systematic Thinking Approach for Analyzing Individuals and Government Impact on COVID-19 Outbreak in Iran

The world faced a crisis called the coronavirus pandemic, a disease that has been able to disrupt a large proportion of the power and activities of the whole world and has evolved all economic and social decisions. These decisions are primarily related to restrictions such as widespread lockdowns and social distancing. Different countries have taken various approaches and decisions to deal with this situation, each of which has positive and negative sides. Apart from this issue, the rapid spread of this pandemic has affected researchers’ knowledge and viewpoints about this disease. Without any doubt, to expand our scientific knowledge and reduce the side effects of this challenge, it is essential to evaluate the behavior of COVID-19. Moreover, developing an effective vaccine in the short term was challenging. Regarding this issue, systematic thinking not only helps to find various ways to prevent this illness from spreading throughout the world but also reduces the mortality rate of this viral disease. From a systematic thinking perspective, governments and individuals play pivotal roles. They take care of vulnerable groups, support health employees, provide general education, identify new patients, and control specific situations in their countries. In such a situation where experts have not discovered any vaccine, governments and the people of society can be considered essential parameters to intensify or reduce the outbreak of this viral disease throughout the country. This paper’s main objective and motivation are to utilize causal loop diagrams (CLDs) to evaluate and determine various affecting factors created by governments and members of societies that have direct impacts on deteriorating or decreasing the outbreak of COVID-19 in Iran from a system dynamics perspective. Hence, the statistics on the incidence and deaths caused by the coronavirus in Iran were extracted during some periods. Using the cause and effect diagrams, the behavior of the people and the government in increasing or decreasing the number of patients is discussed.

USE OF CONTROL GRAPHICS TO IMPROVE THE ANTHRACITE CALCINATION PROCESS IN AN ELECTRIC FURNACE

In the present work, the study of the application of control charts was carried out in the improvement of an anthracite calcination process in an electric oven for the manufacture of electrode paste (Soderberg). As a support for the control charts, the Standardization tools, Cause and Effect Diagram and the Six Sigma methodology were used to identify problems and proposals of improvement for it. Additionally, the anthracite calcination process was also presented, which when done correctly, with material within the proposed resistivity range, guarantees the final quality of the product produced at the pulp mill. The results of this work show that with the use of the Control Graph together with the Six Sigma DMAIC Methodology and the Cause and Effect Diagram, it was possible to reduce the amount of material outside the range of value specification from 70% to 14%, an 56% reduction, which represents an average decrease of 179.2 tons of material out of specification per month, generating a drop in the amount of material to be reprocessed, which translates into savings for the company and the ability to supply material for the manufacture of electrode paste.

An integrated linguistic Pythagorean fuzzy decision-making approach for risk analysis of offshore wind turbine

The evaluation of risk factors within the context of condition-based maintenance (CBM) for offshore wind turbines has been a challenging issue. In this paper, a novel risk analysis method that combines the fuzzy weighted with zero inconsistency (FWZIC) technique and the DEMATEL method under the linguistic Pythagorean fuzzy environment is proposed. Firstly, 75 risk factors linked to offshore wind turbines are identified by leveraging analysis and prior literature, which are modeled using linguistic Pythagorean fuzzy sets (LPFSs) to facilitate the complexity of expert opinions in the face of uncertainty. Then, the hybrid expert weight calculation method and the FWZIC-based criteria weight calculation method are introduced to determine the weights of the experts and the criteria while considering uncertainty. Next, the extended DEMATEL method under the linguistic Pythagorean fuzzy environment is adopted to determine the significance and influence of the pinpointed risk factors, and an illustrative cause–effect diagram is crafted to dissect the interconnections between these factors. Through this intricate analysis, the cause factors and effect factors specific to offshore wind turbines are identified, and the results obtained from the proposed method are validated through sensitivity analysis and comparative analysis. The results of this study could provide valuable recommendations and references for the implementation of CBM in offshore wind turbines.

Comparative study on damage effects of penetration and explosion modes on airport runway

As an important part of civil and military buildings, airport runway is an important research object in the field of protection. In this study, damage assessment of scaled-down target of airport runway was carried out through experiment and numerical simulation. Two experimental methods, static explosion of charge after penetration and explosion of prefabricated hole, were used to damage the target and crater size and surface acceleration of the target were measured and analyzed. The experiment proves that the damage effects of the two methods were obviously different. The crater size produced by static explosion of charge after penetration was obviously larger than that produced by explosion of prefabricated hole under the same explosion depth and explosive charge, of which the shapes were also different. The numerical calculation model was established, and static explosion of charge after penetration was realized and detonation products leakage in inward explosion were solved through restart and S-ALE numerical calculation methods. Calculation results were compared with the experimental results; state equation and parameters were verified; damage effect diagram was obtained by numerical calculation, and mechanism of damage difference was analyzed. The study noted that obvious difference in explosion pressure transmitting and structural failure modes in multi-layer medium and that in a single medium. It proved that the damage caused by penetration will affect cratering effect and the movement of detonation products. Based on the experimental and numerical results, two formulas were given for calculating the crater sizes of airport runway under static explosion of charge after penetration and under explosion of prefabricated hole. The effect of dimensionless penetration coefficient and dimensionless explosion coefficient on crater size was determined by analyzing the crater relation curve of airport runway. The study indicates that the size difference between static explosion of charge after penetration and explosion of prefabricated hole charge can reach 30%. To carry out more accurate study on the damage of the projectile to target, the experiment should adopt static explosion of charge after penetration.

Study of Statistical Quality Control (SQC) Methods in Analyzing Quality Control of Paving Block Products at PT. X

PT. X is a manufacturing company that produces building materials. PT. X is still often faced with several problems including the frequent occurrence of defective products, especially in paving block products as one of its main products. The defects that often occur include products that are easily crushed, cracked, asymmetrical, not dry and also broken in some parts. The defects that occur affect the quality of the resulting product. The purpose of this study was to determine the most dominant percentage of defects to allow further treatment. The method used in this research is Statistical Quality Control (SQC). The SQC method uses several tools including check sheets, stratification, histograms, paretto diagrams, scatter diagrams, control charts, and cause and effect diagrams. Based on the results of the SQC study, the most dominant defects were easily crushed paving with a percentage of 38.34%, cracked paving with a percentage of 28.86%, broken paving in some parts with a percentage of 13.83%, asymmetrical paving with a percentage of 10.92%, and non-dry paving with a percentage of 8.05%.