Pub Date : 2024-06-11DOI: 10.21070/ijins.v25i3.1170
Dandi Pratama Putra, Shazana Dhiya Ayuni
This research aims to monitor residential home temperatures using the Internet of Things (IoT) and Google Sheets. By adopting a Research and Development (R&D) approach, the study designs and tests a temperature monitoring tool with DHT11 sensors, NodeMCU ESP8266, and LCD displays. Data is integrated into Google Sheets for real-time access. The results show improved service efficiency, reducing waiting times to 0.41-2.45 minutes, with fewer waiting customers and lower utilization rates. This system enhances living conditions by providing easy temperature monitoring, recommending future studies to extend data collection periods for comprehensive analysis. Highlight: Efficient Monitoring: Real-time temperature data via Google Sheets. Integrated System: Uses DHT11 sensors and NodeMCU ESP8266. Research Implications: Extend data collection for thorough analysis. Keywoard: Temperature Monitoring, Internet of Things, Google Sheets, DHT11 Sensors, NodeMCU ESP8266
本研究旨在利用物联网（IoT）和 Google Sheets 监控住宅温度。通过采用研究与开发（R&D）方法，本研究设计并测试了一种使用 DHT11 传感器、NodeMCU ESP8266 和 LCD 显示屏的温度监控工具。数据集成到 Google Sheets 中，以便实时访问。结果表明，服务效率得到提高，等待时间缩短至 0.41-2.45 分钟，等待的顾客减少，利用率降低。该系统通过提供方便的温度监测改善了生活条件，建议今后的研究延长数据收集时间，以便进行全面分析。亮点 高效监测：通过 Google Sheets 获取实时温度数据。 集成系统：使用 DHT11 传感器和 NodeMCU ESP8266。 研究意义：扩展数据收集以进行全面分析。 关键字温度监控、物联网、Google Sheets、DHT11 传感器、NodeMCU ESP8266
{"title":"Optimized Smart Home Temperature Monitoring Using IoT","authors":"Dandi Pratama Putra, Shazana Dhiya Ayuni","doi":"10.21070/ijins.v25i3.1170","DOIUrl":"https://doi.org/10.21070/ijins.v25i3.1170","url":null,"abstract":"This research aims to monitor residential home temperatures using the Internet of Things (IoT) and Google Sheets. By adopting a Research and Development (R&D) approach, the study designs and tests a temperature monitoring tool with DHT11 sensors, NodeMCU ESP8266, and LCD displays. Data is integrated into Google Sheets for real-time access. The results show improved service efficiency, reducing waiting times to 0.41-2.45 minutes, with fewer waiting customers and lower utilization rates. This system enhances living conditions by providing easy temperature monitoring, recommending future studies to extend data collection periods for comprehensive analysis. \u0000Highlight: \u0000 \u0000 \u0000 \u0000Efficient Monitoring: Real-time temperature data via Google Sheets. \u0000 \u0000 \u0000Integrated System: Uses DHT11 sensors and NodeMCU ESP8266. \u0000 \u0000 \u0000Research Implications: Extend data collection for thorough analysis. \u0000 \u0000 \u0000 \u0000Keywoard: Temperature Monitoring, Internet of Things, Google Sheets, DHT11 Sensors, NodeMCU ESP8266","PeriodicalId":431998,"journal":{"name":"Indonesian Journal of Innovation Studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141356275","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 : 2024-06-11DOI: 10.21070/ijins.v25i3.1167
Mochamad Afan Wahyu Prediansyah, A. S. Cahyana
This study addresses the challenge of prolonged forklift repair times at PT Karya Mitra Teknik, a heavy equipment repair company, attributed to inefficient facility layout. Through field observations and stakeholder interviews, Activity Relationship Chart (ARC) and Analysis Allocation Diagram (AAD) methods were applied to identify inefficiencies and propose layout improvements. Results show a significant reduction in total repair area distance from 110 meters to 55 meters, indicating enhanced operational efficiency. The findings underscore the importance of optimizing facility layout in heavy equipment repair workshops to streamline operations and reduce repair turnaround times, offering practical implications for similar industries seeking cost-effective solutions. Highlights: 1. Efficient facility layout reduces repair area distance.2. ARC and AAD methods streamline resource allocation.3. Optimal layout enhances operational efficiency, reduces turnaround times. Keywords: Facility Layout Optimization, Heavy Equipment Repair, Operational Efficiency, Activity Relationship Chart (ARC), Analysis Allocation Diagram (AAD)
PT Karya Mitra Teknik 是一家重型设备维修公司，由于设施布局效率低下，导致叉车维修时间延长。通过实地观察和利益相关者访谈，采用了活动关系图（ARC）和分析分配图（AAD）方法来识别低效问题并提出布局改进建议。结果显示，维修区总距离从 110 米大幅缩短至 55 米，表明运营效率得到提高。研究结果强调了优化重型设备维修车间设施布局以简化操作和缩短维修周转时间的重要性，为寻求具有成本效益的解决方案的类似行业提供了实际意义。亮点1.2. ARC 和 AAD 方法简化了资源分配。 3. 优化布局提高了运营效率，缩短了周转时间。关键词：设施布局优化设施布局优化、重型设备维修、运营效率、活动关系图 (ARC)、分析分配图 (AAD)
{"title":"Innovation in Facility Layout Optimization through Heavy Equipment Repair revolution","authors":"Mochamad Afan Wahyu Prediansyah, A. S. Cahyana","doi":"10.21070/ijins.v25i3.1167","DOIUrl":"https://doi.org/10.21070/ijins.v25i3.1167","url":null,"abstract":"This study addresses the challenge of prolonged forklift repair times at PT Karya Mitra Teknik, a heavy equipment repair company, attributed to inefficient facility layout. Through field observations and stakeholder interviews, Activity Relationship Chart (ARC) and Analysis Allocation Diagram (AAD) methods were applied to identify inefficiencies and propose layout improvements. Results show a significant reduction in total repair area distance from 110 meters to 55 meters, indicating enhanced operational efficiency. The findings underscore the importance of optimizing facility layout in heavy equipment repair workshops to streamline operations and reduce repair turnaround times, offering practical implications for similar industries seeking cost-effective solutions. \u0000Highlights: \u00001. Efficient facility layout reduces repair area distance.2. ARC and AAD methods streamline resource allocation.3. Optimal layout enhances operational efficiency, reduces turnaround times. \u0000Keywords: Facility Layout Optimization, Heavy Equipment Repair, Operational Efficiency, Activity Relationship Chart (ARC), Analysis Allocation Diagram (AAD)","PeriodicalId":431998,"journal":{"name":"Indonesian Journal of Innovation Studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141356539","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 : 2024-06-10DOI: 10.21070/ijins.v25i3.1161
Yesi Alifiana, A'rasy Fahruddin
This study investigates the impact of coolant types (water coolant, cutting oil, and air blow) and rotational speeds on machining outcomes for stainless steel SUS 304 using insert tools on CNC lathe machines. Conducted at PT. WIDJAYA TEKNIK ENGINEERING, a manufacturing company, the research employs experimental methods alongside literature review and field observations. Results reveal significant effects of rotational speed on coolant efficacy, influencing production metrics such as dimensional accuracy, machining time, and surface finish quality. Notably, cutting oil demonstrates superior performance over air blow coolant at specific speeds. These findings provide valuable insights for optimizing coolant selection and machining parameters, thereby enhancing production efficiency and product quality in machining processes. Highlights: Experimental Study: Investigating coolant types and rotational speed on machining outcomes. Optimizing Production: Enhancing efficiency and quality through coolant and speed optimization. Industry Insights: Applicable findings for machining stainless steel on CNC lathe machines. Keywords: Coolant types, Rotational speed, Machining outcomes, CNC lathe machines, Stainless steel SUS 304.
本研究调查了冷却液类型（水冷却液、切削油和吹气）和转速对在数控车床上使用刀片刀具加工不锈钢 SUS 304 的结果的影响。在 PT.WIDJAYA TEKNIK ENGINEERING 是一家制造公司，该研究采用了实验方法、文献综述和实地观察。研究结果表明，转速对冷却液功效有明显影响，并影响到尺寸精度、加工时间和表面光洁度等生产指标。值得注意的是，在特定转速下，切削油的性能优于吹气冷却液。这些发现为优化冷却液选择和加工参数提供了宝贵的见解，从而提高了加工过程中的生产效率和产品质量。亮点： 实验研究：调查冷却液类型和转速对加工结果的影响。优化生产：通过优化冷却液和转速提高效率和质量。行业见解：适用于在数控车床上加工不锈钢的研究结果。 关键词冷却液类型、转速、加工结果、数控车床、不锈钢 SUS 304。
{"title":"Impact of Coolant and Speed on Stainless Steel with Opening Machining Efficiency","authors":"Yesi Alifiana, A'rasy Fahruddin","doi":"10.21070/ijins.v25i3.1161","DOIUrl":"https://doi.org/10.21070/ijins.v25i3.1161","url":null,"abstract":"This study investigates the impact of coolant types (water coolant, cutting oil, and air blow) and rotational speeds on machining outcomes for stainless steel SUS 304 using insert tools on CNC lathe machines. Conducted at PT. WIDJAYA TEKNIK ENGINEERING, a manufacturing company, the research employs experimental methods alongside literature review and field observations. Results reveal significant effects of rotational speed on coolant efficacy, influencing production metrics such as dimensional accuracy, machining time, and surface finish quality. Notably, cutting oil demonstrates superior performance over air blow coolant at specific speeds. These findings provide valuable insights for optimizing coolant selection and machining parameters, thereby enhancing production efficiency and product quality in machining processes. \u0000Highlights: \u0000 \u0000 \u0000Experimental Study: Investigating coolant types and rotational speed on machining outcomes. \u0000Optimizing Production: Enhancing efficiency and quality through coolant and speed optimization. \u0000Industry Insights: Applicable findings for machining stainless steel on CNC lathe machines. \u0000 \u0000 \u0000Keywords: Coolant types, Rotational speed, Machining outcomes, CNC lathe machines, Stainless steel SUS 304.","PeriodicalId":431998,"journal":{"name":"Indonesian Journal of Innovation Studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141364671","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 : 2024-06-10DOI: 10.21070/ijins.v25i3.1162
Atikha Sidhi Cahyana, Ilham Fatwa Romadhon, R. B. Jakaria, Hana Catur Wahyuni
The concrete industry, known for producing various concrete products, faces quality challenges evidenced by a 20% defect rate in concrete type G5. SP. 100. 100. 120. 10 MF from August 2022 to January 2023. This study aims to identify the root causes of defects to aid companies in enhancing product quality. Employing qualitative and quantitative methods, including the Seven Tools and Root Cause Analysis (RCA), the research uncovered predominant defects: 681 porous, 312 chipped, 196 cracked, 132 bug hole, 93 shrinkage, 85 lumpy, and 72 other defects. Human, material, machine, method, environmental factors contributed to these defects. Corrective actions were recommended to mitigate defects. The study's limitations include its focus solely on concrete type G5. SP. 100. 100. 120. 10 MF, suggesting future research should encompass all concrete types to provide comprehensive insights for the industry. Highlight: Automotive innovation drives rapid progress in technology and productivity. Consumers prioritize quality and quantity in vehicle selection. Modified racing rollers enhance motorcycle performance, boosting power and torque. Keywoard: Innovation, Technology, Automotive, Development, Productivity
{"title":"Revolutionizing Concrete Quality Through Global Innovations","authors":"Atikha Sidhi Cahyana, Ilham Fatwa Romadhon, R. B. Jakaria, Hana Catur Wahyuni","doi":"10.21070/ijins.v25i3.1162","DOIUrl":"https://doi.org/10.21070/ijins.v25i3.1162","url":null,"abstract":"The concrete industry, known for producing various concrete products, faces quality challenges evidenced by a 20% defect rate in concrete type G5. SP. 100. 100. 120. 10 MF from August 2022 to January 2023. This study aims to identify the root causes of defects to aid companies in enhancing product quality. Employing qualitative and quantitative methods, including the Seven Tools and Root Cause Analysis (RCA), the research uncovered predominant defects: 681 porous, 312 chipped, 196 cracked, 132 bug hole, 93 shrinkage, 85 lumpy, and 72 other defects. Human, material, machine, method, environmental factors contributed to these defects. Corrective actions were recommended to mitigate defects. The study's limitations include its focus solely on concrete type G5. SP. 100. 100. 120. 10 MF, suggesting future research should encompass all concrete types to provide comprehensive insights for the industry. \u0000Highlight: \u0000 \u0000Automotive innovation drives rapid progress in technology and productivity. \u0000Consumers prioritize quality and quantity in vehicle selection. \u0000Modified racing rollers enhance motorcycle performance, boosting power and torque. \u0000 \u0000 \u0000Keywoard: Innovation, Technology, Automotive, Development, Productivity","PeriodicalId":431998,"journal":{"name":"Indonesian Journal of Innovation Studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141363403","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 : 2024-06-10DOI: 10.21070/ijins.v25i3.1163
Sofyan Alim Rais, A. S. Cahyana
This study investigates the root causes of defects in recycled paper production, focusing on GSM-related issues, and proposes solutions to mitigate these defects. Through a six-month data collection process involving observation, on-site inspections, surveys, and expert interviews, the research employs Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA) methodologies to identify key factors contributing to defects. Results reveal seven types of defects, with GSM defects being most prominent, attributed to factors such as insufficient training and inadequate supervision. Proposed improvements include enhanced training, raw material inspections, and improved monitoring practices. These findings offer valuable insights for the paper production industry, suggesting practical interventions to enhance product quality and production efficiency. Further research could explore additional methodologies such as Root Cause Analysis (RCA) or Six Sigma for continuous quality improvement. Highlights: 1. Thorough analysis: FMEA and FTA methodologies for defect root cause identification.2. Recommended solutions: Enhanced training and monitoring for quality improvement.3. Industry insights: Practical strategies to enhance production efficiency and product quality. Keywords: Recycled paper production, Defects, Root cause analysis, Improvement strategies, Quality enhancement
{"title":"Defect Analysis & Solution through Revolutionizing Recycled Paper Production","authors":"Sofyan Alim Rais, A. S. Cahyana","doi":"10.21070/ijins.v25i3.1163","DOIUrl":"https://doi.org/10.21070/ijins.v25i3.1163","url":null,"abstract":"This study investigates the root causes of defects in recycled paper production, focusing on GSM-related issues, and proposes solutions to mitigate these defects. Through a six-month data collection process involving observation, on-site inspections, surveys, and expert interviews, the research employs Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA) methodologies to identify key factors contributing to defects. Results reveal seven types of defects, with GSM defects being most prominent, attributed to factors such as insufficient training and inadequate supervision. Proposed improvements include enhanced training, raw material inspections, and improved monitoring practices. These findings offer valuable insights for the paper production industry, suggesting practical interventions to enhance product quality and production efficiency. Further research could explore additional methodologies such as Root Cause Analysis (RCA) or Six Sigma for continuous quality improvement. \u0000Highlights: \u00001. Thorough analysis: FMEA and FTA methodologies for defect root cause identification.2. Recommended solutions: Enhanced training and monitoring for quality improvement.3. Industry insights: Practical strategies to enhance production efficiency and product quality. \u0000Keywords: Recycled paper production, Defects, Root cause analysis, Improvement strategies, Quality enhancement","PeriodicalId":431998,"journal":{"name":"Indonesian Journal of Innovation Studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141363477","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 : 2024-06-10DOI: 10.21070/ijins.v25i3.1160
Rohmad Arvendo Yoga Prasetiyo, Eng Rahmad Firdaus
Indonesia faces rising energy demand, risking an energy crisis and increased fossil fuel dependence. This study explores using NACA 0021 airfoil blades to improve wind turbine performance by analyzing the effect of different rotor blade numbers. Conducted at Universitas Muhammadiyah Sidoarjo, the research tested turbines with 2, 3, and 4 blades, measuring current, voltage, power, and efficiency. Results showed that more rotor blades enhance turbine performance, increasing current and voltage output. This suggests optimizing blade configurations can significantly boost small-scale wind energy systems, helping reduce fossil fuel reliance and mitigate the energy crisis. Highlights: 1. More rotor blades boost turbine performance: increased current and voltage.2. NACA 0021 airfoil optimizes small-scale power generation.3. Effective blade configuration reduces fossil fuel reliance, mitigating energy crises. Keywords: wind energy, NACA 0021, rotor blades, turbine performance, renewable energy
{"title":"Indonesia's Breakthrough in Maximizing Wind Energy Efficiency Through Optimized Blade Configuration","authors":"Rohmad Arvendo Yoga Prasetiyo, Eng Rahmad Firdaus","doi":"10.21070/ijins.v25i3.1160","DOIUrl":"https://doi.org/10.21070/ijins.v25i3.1160","url":null,"abstract":"Indonesia faces rising energy demand, risking an energy crisis and increased fossil fuel dependence. This study explores using NACA 0021 airfoil blades to improve wind turbine performance by analyzing the effect of different rotor blade numbers. Conducted at Universitas Muhammadiyah Sidoarjo, the research tested turbines with 2, 3, and 4 blades, measuring current, voltage, power, and efficiency. Results showed that more rotor blades enhance turbine performance, increasing current and voltage output. This suggests optimizing blade configurations can significantly boost small-scale wind energy systems, helping reduce fossil fuel reliance and mitigate the energy crisis. \u0000Highlights: \u00001. More rotor blades boost turbine performance: increased current and voltage.2. NACA 0021 airfoil optimizes small-scale power generation.3. Effective blade configuration reduces fossil fuel reliance, mitigating energy crises. \u0000Keywords: wind energy, NACA 0021, rotor blades, turbine performance, renewable energy","PeriodicalId":431998,"journal":{"name":"Indonesian Journal of Innovation Studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141364454","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}
This study presents the systematic development of an Adventure RPG game titled "Tomorrow Will Come" using the ADDIE method, aiming to enhance understanding of RPG game development. Leveraging the Godot Engine and GDscript programming language, the research follows the Analysis, Design, Development, Implementation, and Evaluation phases. Feedback from beta testers highlights positive gameplay experiences but suggests room for improvement, particularly in gameplay difficulty. The findings underscore the significance of iterative design and player feedback in refining game mechanics. Overall, this research contributes to advancing RPG game development methodologies and emphasizes the importance of innovation and user-centric design in creating compelling gaming experiences. Highlight: 1. ADDIE method enhances structured RPG game development. 2. Player feedback refines mechanics, enhancing overall quality. 3. Godot Engine innovates technical aspects, prioritizing user-centric design. Keyword: RPG game development, ADDIE method, Godot Engine, Player feedback, Iterative design
{"title":"Systematic RPG Development Maximizes Player Engagement in Global Context","authors":"Vika Tanjung Hidayatullah, Ika Ratna Indra Astutik, Novia Ariyanti, Suhendro Busono","doi":"10.21070/ijins.v25i3.1155","DOIUrl":"https://doi.org/10.21070/ijins.v25i3.1155","url":null,"abstract":"This study presents the systematic development of an Adventure RPG game titled \"Tomorrow Will Come\" using the ADDIE method, aiming to enhance understanding of RPG game development. Leveraging the Godot Engine and GDscript programming language, the research follows the Analysis, Design, Development, Implementation, and Evaluation phases. Feedback from beta testers highlights positive gameplay experiences but suggests room for improvement, particularly in gameplay difficulty. The findings underscore the significance of iterative design and player feedback in refining game mechanics. Overall, this research contributes to advancing RPG game development methodologies and emphasizes the importance of innovation and user-centric design in creating compelling gaming experiences. \u0000 \u0000Highlight: \u00001. ADDIE method enhances structured RPG game development. \u00002. Player feedback refines mechanics, enhancing overall quality. \u00003. Godot Engine innovates technical aspects, prioritizing user-centric design. \u0000 \u0000 \u0000Keyword: RPG game development, ADDIE method, Godot Engine, Player feedback, Iterative design","PeriodicalId":431998,"journal":{"name":"Indonesian Journal of Innovation Studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141366108","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 : 2024-06-10DOI: 10.21070/ijins.v25i3.1156
Meisya Azzahra Rachman, Tedjo Sukmono
PT. Varia Usaha Beton, a cement product company, faces frequent breakdowns of mixer trucks, reducing reliability from the target 90% to 60%. This study aims to predict truck breakdowns using a machine learning model based on the K-NN algorithm within the CRISP-DM framework. Data from the company's maintenance records were cleaned and split into training and testing sets. With k=20, the model achieved 90% accuracy on training data and 83% on testing data. These results can help improve maintenance scheduling and resource planning, enhancing truck reliability. Future research should compare other algorithms and consider different programming environments. Highlights: High Accuracy: K-NN model achieved 90% training and 83% testing accuracy. Maintenance Aid: Improves scheduling and resource planning for truck maintenance. Future Research: Compare algorithms and explore different programming environments. Keywords: Predictive Maintenance, Mixer Trucks, K-NN Algorithm, CRISP-DM, Machine Learning
{"title":"Machine Learning Predicts Truck Breakdowns in Indonesia with 83% Accuracy","authors":"Meisya Azzahra Rachman, Tedjo Sukmono","doi":"10.21070/ijins.v25i3.1156","DOIUrl":"https://doi.org/10.21070/ijins.v25i3.1156","url":null,"abstract":"PT. Varia Usaha Beton, a cement product company, faces frequent breakdowns of mixer trucks, reducing reliability from the target 90% to 60%. This study aims to predict truck breakdowns using a machine learning model based on the K-NN algorithm within the CRISP-DM framework. Data from the company's maintenance records were cleaned and split into training and testing sets. With k=20, the model achieved 90% accuracy on training data and 83% on testing data. These results can help improve maintenance scheduling and resource planning, enhancing truck reliability. Future research should compare other algorithms and consider different programming environments. \u0000Highlights: \u0000 \u0000 \u0000High Accuracy: K-NN model achieved 90% training and 83% testing accuracy. \u0000Maintenance Aid: Improves scheduling and resource planning for truck maintenance. \u0000Future Research: Compare algorithms and explore different programming environments. \u0000 \u0000 \u0000Keywords: Predictive Maintenance, Mixer Trucks, K-NN Algorithm, CRISP-DM, Machine Learning","PeriodicalId":431998,"journal":{"name":"Indonesian Journal of Innovation Studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141361013","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 : 2024-06-10DOI: 10.21070/ijins.v25i3.1154
Bagus Kurniawan, Mulyadi
This study investigates the feasibility of repurposing old refrigerator compressors to construct an air compressor for workshop use. Conducted at the Laboratory of Mechanical Engineering, Muhammadiyah University of Sidoarjo, the research assesses performance factors such as compressor tube filling time and injection settings. Results indicate that using one compressor motor takes 12 minutes and 57 seconds to fill the tube, while two motors reduce this to 8 minutes and 12 seconds, reaching a maximum pressure of 75 psi. Higher spray gun settings result in faster air depletion. Although pressure output is weaker compared to conventional compressors, the cost-effectiveness of using reused materials is evident, highlighting potential economic and environmental benefits. Highlight: Repurposing old compressors for workshop air supply. Assessing performance: filling time, injection settings. Cost-effective, eco-friendly solution for workshop equipment. Keyword: Repurposing, Refrigerator Compressors, Workshop Equipment, Performance Assessment, Cost-effectiveness
{"title":"Maximizing Workshop Efficiency Reusing Old Compressors Globally","authors":"Bagus Kurniawan, Mulyadi","doi":"10.21070/ijins.v25i3.1154","DOIUrl":"https://doi.org/10.21070/ijins.v25i3.1154","url":null,"abstract":"This study investigates the feasibility of repurposing old refrigerator compressors to construct an air compressor for workshop use. Conducted at the Laboratory of Mechanical Engineering, Muhammadiyah University of Sidoarjo, the research assesses performance factors such as compressor tube filling time and injection settings. Results indicate that using one compressor motor takes 12 minutes and 57 seconds to fill the tube, while two motors reduce this to 8 minutes and 12 seconds, reaching a maximum pressure of 75 psi. Higher spray gun settings result in faster air depletion. Although pressure output is weaker compared to conventional compressors, the cost-effectiveness of using reused materials is evident, highlighting potential economic and environmental benefits. \u0000 \u0000Highlight: \u0000Repurposing old compressors for workshop air supply. \u0000Assessing performance: filling time, injection settings. \u0000Cost-effective, eco-friendly solution for workshop equipment. \u0000 \u0000 \u0000Keyword: Repurposing, Refrigerator Compressors, Workshop Equipment, Performance Assessment, Cost-effectiveness","PeriodicalId":431998,"journal":{"name":"Indonesian Journal of Innovation Studies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141361079","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 : 2024-06-10DOI: 10.21070/ijins.v25i3.1159
Muchammad Efendi, Rachmat Firdaus
In the automotive world, rapid advancements in motorized vehicle technology necessitate consumers to be selective in vehicle choice. This study examines the performance of motorcycles using modified racing rollers versus standard factory rollers. Focusing on a 150cc matic motorcycle, we analyzed power and torque outputs using rollers of different masses (11g, 16g, and standard 15.5g). Field studies and literature reviews were conducted, employing tools like dynotests to measure performance at RPM ranges from 4,700 to 9,500. Results indicate that the 16g roller achieved the highest torque of 12.45 N/m at 6,800 RPM, while the 11g roller attained 12.09 N/m at 67,300 RPM. The standard 15.5g roller reached 12.07 N/m at 76,400 RPM. This research highlights the impact of roller mass on motorcycle performance, providing valuable insights for enhancing vehicle efficiency and consumer choice. Highlight: 16g roller achieves highest torque of 12.45 N/m at 6,800 RPM. 11g roller reaches torque of 12.09 N/m at 67,300 RPM. Standard 15.5g roller attains 12.07 N/m at 76,400 RPM. Keywoard: Motorcycle Performance, Racing Rollers, Torque, Power Output, 150cc Matic
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