Pub Date : 2024-06-14DOI: 10.21070/ijins.v25i4.1142
Dewi Masitah
This study evaluates the influence of the Fraud Pentagon elements—pressure, opportunity, rationalization, capability, and arrogance—on the detection of financial statement fraud in State-Owned Enterprises (SOEs) listed on the Indonesia Stock Exchange during 2017-2019. Utilizing a quantitative methodology, data was collected from documents and literature studies and analyzed through logistic regression. The findings reveal that financial stability measured by the M-Score and F-Score models is significantly impacted by pressure, whereas opportunity affects fraud detection when using the M-Score model, and arrogance is significant with the F-Score model. However, no significant effects were observed for opportunity with the F-Score, rationalization with both models, capability with both models, and arrogance with the M-Score. These results underscore the variable influence of different fraud elements on the detectability of fraudulent activities, suggesting a need for targeted anti-fraud strategies within SOEs. Highlights: Pressure's Role: Pressure directly impacts financial fraud detection in SOEs. Model Variability: Opportunity and arrogance influence fraud detection differently across M-Score and F-Score models. Ineffective Elements: Several fraud elements show no significant impact, indicating gaps in detection methods. Keywords: Fraud Detection, Financial Statement Fraud, M-Score, F-Score, SOEs
{"title":"Analysis of the Effect of Fraud Pentagon on Financial Statement Fraud Using M-Score and F-Score","authors":"Dewi Masitah","doi":"10.21070/ijins.v25i4.1142","DOIUrl":"https://doi.org/10.21070/ijins.v25i4.1142","url":null,"abstract":"This study evaluates the influence of the Fraud Pentagon elements—pressure, opportunity, rationalization, capability, and arrogance—on the detection of financial statement fraud in State-Owned Enterprises (SOEs) listed on the Indonesia Stock Exchange during 2017-2019. Utilizing a quantitative methodology, data was collected from documents and literature studies and analyzed through logistic regression. The findings reveal that financial stability measured by the M-Score and F-Score models is significantly impacted by pressure, whereas opportunity affects fraud detection when using the M-Score model, and arrogance is significant with the F-Score model. However, no significant effects were observed for opportunity with the F-Score, rationalization with both models, capability with both models, and arrogance with the M-Score. These results underscore the variable influence of different fraud elements on the detectability of fraudulent activities, suggesting a need for targeted anti-fraud strategies within SOEs. \u0000Highlights: \u0000 \u0000Pressure's Role: Pressure directly impacts financial fraud detection in SOEs. \u0000Model Variability: Opportunity and arrogance influence fraud detection differently across M-Score and F-Score models. \u0000Ineffective Elements: Several fraud elements show no significant impact, indicating gaps in detection methods. \u0000 \u0000Keywords: Fraud Detection, Financial Statement Fraud, M-Score, F-Score, SOEs","PeriodicalId":431998,"journal":{"name":"Indonesian Journal of Innovation Studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141339744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-13DOI: 10.21070/ijins.v25i4.1186
Sandifta Iffah Sjaifulah, Mulyadi
This study explores the impact of process parameters on the macrostructure of Aluminum alloy AA6061-T651 welded via Friction Stir Welding (FSW). Using Fillet joints and hexagonal tool geometries, the study investigates variations in tool rotation speed, tool tilt angle, and depth of penetration. Results show that specimens with a tool tilt angle of 3.4° exhibit optimal macrostructural properties, including equiaxed structures and increased Mg2Si phases, enhancing mechanical properties. This research contributes valuable insights for optimizing FSW parameters in AA6061-T651 welding, with implications for improving weld quality and performance in industrial applications. Highlight: FSW affects AA6061-T651 macrostructure. Optimal parameters improve mechanical properties. Study enhances aluminum weld quality. Keyword: Friction Stir Welding (FSW), Aluminum alloy AA6061-T651, Process parameters, Macrostructure analysis, Mechanical properties
{"title":"Transforming Aluminum Welding Through FSW Innovations","authors":"Sandifta Iffah Sjaifulah, Mulyadi","doi":"10.21070/ijins.v25i4.1186","DOIUrl":"https://doi.org/10.21070/ijins.v25i4.1186","url":null,"abstract":"This study explores the impact of process parameters on the macrostructure of Aluminum alloy AA6061-T651 welded via Friction Stir Welding (FSW). Using Fillet joints and hexagonal tool geometries, the study investigates variations in tool rotation speed, tool tilt angle, and depth of penetration. Results show that specimens with a tool tilt angle of 3.4° exhibit optimal macrostructural properties, including equiaxed structures and increased Mg2Si phases, enhancing mechanical properties. This research contributes valuable insights for optimizing FSW parameters in AA6061-T651 welding, with implications for improving weld quality and performance in industrial applications. \u0000 \u0000Highlight: \u0000 \u0000FSW affects AA6061-T651 macrostructure. \u0000Optimal parameters improve mechanical properties. \u0000Study enhances aluminum weld quality. \u0000 \u0000 \u0000 \u0000Keyword: Friction Stir Welding (FSW), Aluminum alloy AA6061-T651, Process parameters, Macrostructure analysis, Mechanical properties \u0000 ","PeriodicalId":431998,"journal":{"name":"Indonesian Journal of Innovation Studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141348545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.21070/ijins.v25i4.1191
Tiva Hendra Yus’Ady, W. Sulistiyowati
This study addresses the high production costs of tablet products at PT. XYZ, a pharmaceutical company in Indonesia, due to long cycle and takt times. Using Causal Branching and KATA methods, data were collected over eight months through observations, interviews, and quantitative analysis. The study achieved a 43% reduction in reject foils from destripping, a 40% decrease in total cycle time, and a 66% reduction in takt time. These results highlight effective strategies for optimizing manufacturing processes and reducing costs in the pharmaceutical industry. Highlights: Cost Reduction: 43% reject foils, 40% cycle time reduction. Methodology: Used Causal Branching and KATA for problem-solving. Data Collection: Eight-month study with observations, interviews, quantitative analysis. Keywords: Tablet production, Cycle time reduction, Takt time optimization, Causal Branching, KATA method
本研究探讨了印度尼西亚 PT.XYZ 是印度尼西亚的一家制药公司，由于生产周期和交货时间过长，导致生产成本居高不下。使用因果分支法和 KATA 方法，通过观察、访谈和定量分析收集了八个月的数据。研究结果表明，拆解过程中产生的废箔减少了 43%，总周期时间缩短了 40%，生产时间缩短了 66%。这些结果突显了制药行业优化生产流程和降低成本的有效策略。亮点： 降低成本：废箔减少 43%，生产周期缩短 40%。方法：采用因果分支法和 KATA 法解决问题。数据收集：为期八个月的研究，包括观察、访谈和定量分析。 关键词：片剂生产片剂生产、缩短周期、优化工时、因果分支法、KATA 法
{"title":"Transforming Tablet Production in Indonesia with 66% Faster Manufacturing","authors":"Tiva Hendra Yus’Ady, W. Sulistiyowati","doi":"10.21070/ijins.v25i4.1191","DOIUrl":"https://doi.org/10.21070/ijins.v25i4.1191","url":null,"abstract":"This study addresses the high production costs of tablet products at PT. XYZ, a pharmaceutical company in Indonesia, due to long cycle and takt times. Using Causal Branching and KATA methods, data were collected over eight months through observations, interviews, and quantitative analysis. The study achieved a 43% reduction in reject foils from destripping, a 40% decrease in total cycle time, and a 66% reduction in takt time. These results highlight effective strategies for optimizing manufacturing processes and reducing costs in the pharmaceutical industry. \u0000Highlights: \u0000 \u0000 \u0000Cost Reduction: 43% reject foils, 40% cycle time reduction. \u0000Methodology: Used Causal Branching and KATA for problem-solving. \u0000Data Collection: Eight-month study with observations, interviews, quantitative analysis. \u0000 \u0000 \u0000Keywords: Tablet production, Cycle time reduction, Takt time optimization, Causal Branching, KATA method","PeriodicalId":431998,"journal":{"name":"Indonesian Journal of Innovation Studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141353405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.21070/ijins.v25i4.1189
Asrul Burhanudin, A. S. Cahyana
PT. Romi Violeta, an Indonesian furniture company specializing in rattan and wood products, faces frequent production defects. This study aims to identify and reduce these defects using the Seven Tools and 5W+1H methods. Qualitative data were obtained through field observations and interviews, while quantitative data were gathered using the Seven Tools approach. From February to June 2022, color variation was the most frequent defect, with the highest defect rate in March at 26.5%. Root causes included factors related to man, material, machine, method, and environment. The proposed corrective actions aim to minimize these defects, enhancing overall product quality. Future research should explore additional defect causes using different methodologies. Highlight: Defect Analysis: Identified color variation as the most frequent defect. Root Causes: Man, material, machine, method, and environment factors. Corrective Actions: Proposed solutions to minimize defects and enhance quality. Keywoard: Production defects, Seven Tools, 5W+1H, quality improvement, furniture manufacturing
{"title":"Reducing Production Defects in Indonesian Furniture Using Seven Tools and 5W+1H","authors":"Asrul Burhanudin, A. S. Cahyana","doi":"10.21070/ijins.v25i4.1189","DOIUrl":"https://doi.org/10.21070/ijins.v25i4.1189","url":null,"abstract":"PT. Romi Violeta, an Indonesian furniture company specializing in rattan and wood products, faces frequent production defects. This study aims to identify and reduce these defects using the Seven Tools and 5W+1H methods. Qualitative data were obtained through field observations and interviews, while quantitative data were gathered using the Seven Tools approach. From February to June 2022, color variation was the most frequent defect, with the highest defect rate in March at 26.5%. Root causes included factors related to man, material, machine, method, and environment. The proposed corrective actions aim to minimize these defects, enhancing overall product quality. Future research should explore additional defect causes using different methodologies. \u0000Highlight: \u0000 \u0000Defect Analysis: Identified color variation as the most frequent defect. \u0000Root Causes: Man, material, machine, method, and environment factors. \u0000Corrective Actions: Proposed solutions to minimize defects and enhance quality. \u0000 \u0000 \u0000Keywoard: Production defects, Seven Tools, 5W+1H, quality improvement, furniture manufacturing","PeriodicalId":431998,"journal":{"name":"Indonesian Journal of Innovation Studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141351354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.21070/ijins.v25i4.1190
Naufal Rizky, W. Sulistiyowati
This study addresses forklift maintenance challenges at PT. Karya Mitra Teknik, focusing on undisciplined operators and overuse issues. Using Failure Mode And Effect Analysis (FMEA) and Fault Tree Analysis (FTA), it identifies root causes and suggests improvements. Data collected through observations, interviews, and flow diagrams pinpoint three priority failure modes: radiator, starter dynamo, and oil flow failure. Recommendations emphasize regular maintenance, cleanliness, and enhanced operational practices for effective issue mitigation. Highlight: Root Cause Analysis with FMEA and FTA. Prioritizing Critical Failure Modes. Recommend Disciplined Maintenance for Operational Enhancements. Keyword: Forklift Maintenance, Root Cause Analysis, Improvement Recommendations, FMEA, FTA
{"title":"Prioritizing Maintenance Strategies for Efficient Forklift Performance Through Failure Analysis","authors":"Naufal Rizky, W. Sulistiyowati","doi":"10.21070/ijins.v25i4.1190","DOIUrl":"https://doi.org/10.21070/ijins.v25i4.1190","url":null,"abstract":"This study addresses forklift maintenance challenges at PT. Karya Mitra Teknik, focusing on undisciplined operators and overuse issues. Using Failure Mode And Effect Analysis (FMEA) and Fault Tree Analysis (FTA), it identifies root causes and suggests improvements. Data collected through observations, interviews, and flow diagrams pinpoint three priority failure modes: radiator, starter dynamo, and oil flow failure. Recommendations emphasize regular maintenance, cleanliness, and enhanced operational practices for effective issue mitigation. \u0000 \u0000Highlight: \u0000 \u0000Root Cause Analysis with FMEA and FTA. \u0000Prioritizing Critical Failure Modes. \u0000Recommend Disciplined Maintenance for Operational Enhancements. \u0000 \u0000 \u0000 \u0000Keyword: Forklift Maintenance, Root Cause Analysis, Improvement Recommendations, FMEA, FTA","PeriodicalId":431998,"journal":{"name":"Indonesian Journal of Innovation Studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141354844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.21070/ijins.v25i4.1187
Boy Isma Putra, Mohammad Reza Khatamy
This study examines ergonomic challenges faced by welders at CV. Frontec Agritama Engineering, focusing on catwalk welding. Using Rapid Entire Body Assessment (REBA) and Quick Exposure Check (QEC), ergonomic risks were evaluated. Results showed high-risk levels, urging immediate interventions. Proposed solutions include ergonomic workstations to reduce musculoskeletal injuries. This research contributes to workplace safety and productivity in manufacturing. Highlight: REBA and QEC methods assess ergonomic risks comprehensively. Welding activities pose significant musculoskeletal risks. Proposed ergonomic workstations enhance safety and productivity. Keywoard: Ergonomics, Welding, Manufacturing, Musculoskeletal Risks, Workplace Safety
Pub Date : 2024-06-12DOI: 10.21070/ijins.v25i4.1182
Muhammad Zaqqi Zamroni Firdaus, A. S. Cahyana
This study examines factors affecting service quality, patient satisfaction, and loyalty at Puskesmas XYZ, using Structural Equation Modeling (SEM) on data from 108 respondents. The results pinpoint doctor-patient interaction as crucial for service quality (loading factor 0.732), satisfaction (0.692), and loyalty (0.758). Suggestions include improving queue management, proposing a web-based system for efficiency. Future research can expand service quality variables for broader impact assessment. Highlight: Key Findings: Doctor interaction highly impacts patient loyalty and satisfaction. Recommendation: Implement web-based queue management for improved healthcare service. Future Research: Expand service quality variables for a broader patient assessment. Keyword: Service Quality, Patient Satisfaction, Loyalty, Structural Equation Modeling (SEM), Queue Management
{"title":"Innovative Service Quality Boosts Patient Satisfaction","authors":"Muhammad Zaqqi Zamroni Firdaus, A. S. Cahyana","doi":"10.21070/ijins.v25i4.1182","DOIUrl":"https://doi.org/10.21070/ijins.v25i4.1182","url":null,"abstract":"This study examines factors affecting service quality, patient satisfaction, and loyalty at Puskesmas XYZ, using Structural Equation Modeling (SEM) on data from 108 respondents. The results pinpoint doctor-patient interaction as crucial for service quality (loading factor 0.732), satisfaction (0.692), and loyalty (0.758). Suggestions include improving queue management, proposing a web-based system for efficiency. Future research can expand service quality variables for broader impact assessment. \u0000 \u0000Highlight: \u0000 \u0000Key Findings: Doctor interaction highly impacts patient loyalty and satisfaction. \u0000Recommendation: Implement web-based queue management for improved healthcare service. \u0000Future Research: Expand service quality variables for a broader patient assessment. \u0000 \u0000 \u0000 \u0000Keyword: Service Quality, Patient Satisfaction, Loyalty, Structural Equation Modeling (SEM), Queue Management","PeriodicalId":431998,"journal":{"name":"Indonesian Journal of Innovation Studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141351643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.21070/ijins.v25i4.1195
Ubaidillah Fikroh, Syamsudduha Syahrorini
Many modern vehicles suffer from engine trouble due to decreased compression pressure, necessitating a simple and efficient measurement tool. This study develops an Arduino-based device to measure engine compression and temperature using a pressure sensor in the spark plug location and a temperature sensor in the oil gauge, with results displayed on a 16x2 I2C LCD. Testing each engine cylinder before and after heating shows that compression pressure is strongly influenced by temperature (over 80%). The tool enhances engine diagnostics, offering precise, real-time monitoring to improve vehicle maintenance and longevity. Highlight: Real-time Monitoring: Provides precise, real-time engine diagnostics. Temperature Influence: Compression pressure is 80% influenced by temperature. Enhanced Maintenance: Offers accurate compression and temperature measurements. Keywoard: Engine trouble, Compression pressure, Arduino, Pressure sensor, Temperature sensor
{"title":"Arduino Sensors Reveal Temperature-Driven Compression Fluctuations in Vehicle Engines","authors":"Ubaidillah Fikroh, Syamsudduha Syahrorini","doi":"10.21070/ijins.v25i4.1195","DOIUrl":"https://doi.org/10.21070/ijins.v25i4.1195","url":null,"abstract":"Many modern vehicles suffer from engine trouble due to decreased compression pressure, necessitating a simple and efficient measurement tool. This study develops an Arduino-based device to measure engine compression and temperature using a pressure sensor in the spark plug location and a temperature sensor in the oil gauge, with results displayed on a 16x2 I2C LCD. Testing each engine cylinder before and after heating shows that compression pressure is strongly influenced by temperature (over 80%). The tool enhances engine diagnostics, offering precise, real-time monitoring to improve vehicle maintenance and longevity. \u0000Highlight: \u0000 \u0000Real-time Monitoring: Provides precise, real-time engine diagnostics. \u0000Temperature Influence: Compression pressure is 80% influenced by temperature. \u0000Enhanced Maintenance: Offers accurate compression and temperature measurements. \u0000 \u0000 \u0000Keywoard: Engine trouble, Compression pressure, Arduino, Pressure sensor, Temperature sensor","PeriodicalId":431998,"journal":{"name":"Indonesian Journal of Innovation Studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141354363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.21070/ijins.v25i4.1188
Moch. Agung Setiono, A. S. Cahyana
PT. XYZ, a manufacturer of car exhaust components, faces significant defect-related challenges, impacting productivity and market competitiveness, particularly in Europe. Over six months, 3.18% of 184,708 produced components were defective. This study aims to determine the sigma level of quality control and identify root causes of defects using the Six Sigma DMAIC method and Root Cause Analysis (RCA). Observations and interviews revealed human error, machine issues, improper methods, substandard materials, and environmental factors as key contributors to defects. The sigma level was found to be 4, indicating suboptimal quality control. Recommendations for improvement include SOP development, operator training, standardized production methods, regular machine maintenance, and 5S organizational practices. Implementing these could reduce defects and improve productivity. Highlight: Defect Rate: 3.18% in 184,708 components. Sigma Level: Evaluated at level 4. Improvements: Implement SOPs, training, maintenance, 5S practices. Keyword: Quality Control, Six Sigma, Root Cause Analysis, Manufacturing, Car Exhaust Components
{"title":"Overcoming Quality Control Challenges in Car Exhaust Manufacturing","authors":"Moch. Agung Setiono, A. S. Cahyana","doi":"10.21070/ijins.v25i4.1188","DOIUrl":"https://doi.org/10.21070/ijins.v25i4.1188","url":null,"abstract":"PT. XYZ, a manufacturer of car exhaust components, faces significant defect-related challenges, impacting productivity and market competitiveness, particularly in Europe. Over six months, 3.18% of 184,708 produced components were defective. This study aims to determine the sigma level of quality control and identify root causes of defects using the Six Sigma DMAIC method and Root Cause Analysis (RCA). Observations and interviews revealed human error, machine issues, improper methods, substandard materials, and environmental factors as key contributors to defects. The sigma level was found to be 4, indicating suboptimal quality control. Recommendations for improvement include SOP development, operator training, standardized production methods, regular machine maintenance, and 5S organizational practices. Implementing these could reduce defects and improve productivity. \u0000 \u0000Highlight: \u0000 \u0000Defect Rate: 3.18% in 184,708 components. \u0000Sigma Level: Evaluated at level 4. \u0000Improvements: Implement SOPs, training, maintenance, 5S practices. \u0000 \u0000 \u0000 \u0000Keyword: Quality Control, Six Sigma, Root Cause Analysis, Manufacturing, Car Exhaust Components","PeriodicalId":431998,"journal":{"name":"Indonesian Journal of Innovation Studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141350561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.21070/ijins.v25i4.1183
Wahyu Aji Pamungkas, E. Widodo
This study investigates Sansivera fiber-reinforced composite materials treated with 15% NaOH alkaline liquid for different durations using the hand lay-up method. The aim is to determine the optimal treatment duration that enhances the tensile properties of these composites. Results indicate that longer NaOH treatment periods positively impact tensile strength, with the best outcomes observed at 15% treatment for 8 hours. These findings contribute to improving the mechanical performance of Sansivera fiber composites for various industrial applications. Highlight: Sansivera composites strengthen with 15% NaOH for 8 hours. Hand lay-up method enhances industrial applicability. Optimal treatment duration for Sansivera fibers is highlighted. Keyword: Sansivera fiber composites, NaOH alkaline treatment, Tensile strength enhancement, Hand lay-up method, Industrial applications
{"title":"NaOH Treatment Revolutionizes Strength of Fiber Composites Globally","authors":"Wahyu Aji Pamungkas, E. Widodo","doi":"10.21070/ijins.v25i4.1183","DOIUrl":"https://doi.org/10.21070/ijins.v25i4.1183","url":null,"abstract":"This study investigates Sansivera fiber-reinforced composite materials treated with 15% NaOH alkaline liquid for different durations using the hand lay-up method. The aim is to determine the optimal treatment duration that enhances the tensile properties of these composites. Results indicate that longer NaOH treatment periods positively impact tensile strength, with the best outcomes observed at 15% treatment for 8 hours. These findings contribute to improving the mechanical performance of Sansivera fiber composites for various industrial applications. \u0000 \u0000Highlight: \u0000 \u0000Sansivera composites strengthen with 15% NaOH for 8 hours. \u0000Hand lay-up method enhances industrial applicability. \u0000Optimal treatment duration for Sansivera fibers is highlighted. \u0000 \u0000 \u0000 \u0000Keyword: Sansivera fiber composites, NaOH alkaline treatment, Tensile strength enhancement, Hand lay-up method, Industrial applications \u0000 ","PeriodicalId":431998,"journal":{"name":"Indonesian Journal of Innovation Studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141350410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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