Indonesian Journal of Innovation Studies

Revitalizing Customer Satisfaction in Indonesia's Rice Industry

Muchammad Ikbal Pratama — 2024-06-11

CV. Central Karya Jaya, a rice distribution company, faced a 40% profit decline. This study aims to enhance company performance and customer satisfaction using the Balanced Scorecard and Importance Performance Analysis (IPA). Data from 70 respondents showed a financial ROE above 12%, but customer satisfaction had a 72.25% conformity, revealing unmet needs. Key improvements are needed in managerial friendliness, employee responsiveness, and personalized service. Recommendations include fostering better employee relations and understanding customer needs, with future research suggesting the use of Quality Function Deployment (QFD) for further service enhancement.

Highlights:

Financial Performance: ROE above 12% indicates solid financial health.
Customer Satisfaction: 72.25% conformity shows areas needing improvement.
Key Improvements: Enhance managerial friendliness and employee responsiveness

Keywords: Performance Measurement, Balanced Scorecard, Customer Satisfaction, Rice Distribution, Importance Performance Analysis

Seamless Solar-Powered Hydroponics Revolutionizes Urban Farming in Indonesia

Alfin Muchtarom — 2024-06-12

This study explores the use of PLTS (solar power) as an alternative energy source for urban hydroponic systems. Due to PLTS's limited capacity, an automatic transfer switch (ATS) is utilized to seamlessly switch between PLTS and PLN (public electricity) based on sensor readings. The system uses an INA219 sensor to monitor PLTS voltage, a TDS sensor for water quality, and a NodeMCU microcontroller, with data displayed on an LCD and Blynk for remote monitoring. Testing showed a PLTS voltage of 12.0V, with sensor accuracies of 96% (INA219) and 98.59% (TDS). Overall, the system demonstrated reliable and optimal performance, providing a sustainable solution for urban hydroponic farming.

Highlights:

1. PLTS and PLN integration ensures reliable power for urban hydroponics.
2. High sensor accuracy supports precise system monitoring.
3. Remote monitoring via LCD and Blynk enhances control and sustainability.

Keywords: PLTS, hydroponic systems, automatic transfer switch, NodeMCU, sustainability

IoT revolutionizes orchid cultivation in Indonesia with precision and efficiency

Hasan Bisri — 2024-06-12

The Orchidaceae family is highly valued in ornamental, perfume, medical, and cosmetic industries, but cultivation often fails due to human error. This research aims to design an IoT-integrated automation system to monitor and control key parameters such as air temperature, humidity, and moss moisture for orchid cultivation. Using the research and development method, we observed plant needs, reviewed relevant literature, designed an effective system, and tested sensor accuracy and system reliability. Results showed the DHT-22 sensor had a minimal error in temperature (0.9%) and humidity (2.1%) readings, and the soil moisture sensor had a 3.65% error. The system maintained optimal conditions, and the Blynk app effectively displayed data. This innovation reduces human error and enhances orchid cultivation efficiency, with potential applications in other sensitive plant systems.

Highlight:

Error Reduction: IoT system minimizes human error in orchid cultivation.
Sensor Accuracy: DHT-22 sensors show minimal temperature (0.9%) and humidity (2.1%) errors.
Optimal Conditions: Maintains air humidity 40%-80%RH and moss moisture 50%-80%RH.

Keyword: Orchidaceae, IoT automation, sensor accuracy, environmental control, orchid cultivation

Smart Stick Revolutionizes Mobility for the Visually Impaired

Moh. Alfian — 2024-06-11

Visual impairment significantly hinders daily activities, necessitating innovative solutions. This study develops and tests a smart walking stick using NodeMCU ESP-8266, HCSR-04 ultrasonic sensor, DFPlayer, and GPS, monitored via the Blynk app. Employing a research and development approach, the device demonstrated 100% accuracy in obstacle detection and location tracking, providing real-time feedback through audio notifications and smartphone monitoring. This smart walking stick enhances mobility and safety for visually impaired users, representing a significant advancement in assistive technology.

Highlights:

Accurate Obstacle Detection: 100% accuracy with HCSR-04 ultrasonic sensor.
Real-time Monitoring: GPS tracking via Blynk app.
Enhanced Mobility: Increases safety and independence for visually impaired users.

Keywords: Visual impairment, Smart walking stick, Ultrasonic sensor, GPS tracking, IoT

Innovative Service Quality Boosts Patient Satisfaction

Muhammad Zaqqi Zamroni Firdaus — 2024-06-12

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

Revolutionizing Warehouse Efficiency with Shared and Class-Based Storage

Deddy Supriyadi — 2024-06-11

This study addresses inefficiencies in the warehouse layout of a paper production company in Pasuruan, East Java, which led to delayed deliveries. By implementing shared storage (SS) using FIFO and class-based storage (CBS), the research aimed to optimize space and improve material handling efficiency. Data collection involved observation, interviews, and company records. The proposed layout reduced space usage from 59.45% to 16.95% and achieved significant time savings: 17.84% for brown paper, 8.84% for white paper, and 28.51% for custom-colored paper. The findings suggest that a systematic layout can greatly enhance warehouse efficiency. Future studies should consider the cost factors associated with these improvements.

Highlights:

Space Efficiency: Reduced usage from 59.45% to 16.95%.
Time Savings: Up to 28.51% for custom-colored paper.
Data-Driven: Used observations, interviews, and records for layout optimization

Keywords: Warehouse layout, material handling, shared storage, class-based storage, efficiency improvement

Markov Method Revolutionizes Paper Industry, Slashing Maintenance Costs Globally

Dikril Ilham Syaifullah — 2024-06-11

Paper manufacturing industries rely on efficient machinery for production processes, yet neglecting maintenance can lead to substantial costs. This study addresses the maintenance cost optimization challenge in a Pasuruan paper company, where maintenance expenses exceed 20% of the standard. Utilizing the Markov chain method, the research identifies optimal paper machine maintenance costs, achieving a 32% cost reduction. By analyzing data from company documents and literature reviews, specific machine states are identified, recommending overhaul strategies to enhance operational efficiency. The study's implications underscore the method's effectiveness in reducing costs and improving productivity for paper manufacturing industries, offering valuable insights for similar sectors.

Highlights:

1. Neglecting maintenance in paper manufacturing leads to substantial costs.
2. Markov chain method optimizes paper machine maintenance, reducing expenses.
3. Implementation of optimal maintenance strategies significantly enhances financial sustainability.

Keywords: Paper manufacturing, Maintenance optimization, Markov chain method, Cost reduction, Operational efficiency.

EOQ Optimization Revolutionizes Inventory Management, Delivering Cost Savings Globally

Devira Kusuma Wardhani — 2024-06-11

Efficient inventory management is crucial for companies to minimize costs while ensuring adequate supply to meet demand. PT Samawa Tirta Alam, a bottled sweet drinking water company, faces significant inventory management issues, notably with refined sugar raw materials. High transportation costs and fluctuating demand contribute to excessive inventory accumulation and increased storage costs, necessitating an optimization strategy. This study implements the Economic Order Quantity (EOQ) method to address these challenges. Through a mixed-method approach, qualitative data were gathered via observations and interviews, while quantitative analysis utilized historical data to calculate optimal order quantities, frequencies, safety stock levels, and reorder points. Results demonstrate substantial cost savings, with optimal order quantities determined, reducing order frequencies from 12 to 2 times per year, and minimizing safety stock levels. The findings underscore the effectiveness of the EOQ method in enhancing cost-effectiveness and operational performance in raw material inventory management for similar companies.

Highlights:

1. Cost Efficiency: EOQ method reduces total inventory costs effectively.
2. Operational Precision: Minimizing safety stock enhances operational efficiency.
3. Strategic Insight: Integrated approach provides practical solutions for inventory management challenges.

Keywords: Inventory Management, Economic Order Quantity (EOQ), Cost Optimization, Raw Materials, Transportation Costs

Markov Chains Slash Inventory Costs in Indonesia

Adinda Chamilia Mishani — 2024-06-12

PT. Varia Usaha Beton, facing an 8% decline in 2022 targets due to uncontrolled inventory and a 15,150-ton overstock of sand at its BSP Sayung plant, needed an effective solution. This study applied a Markov chain model with perfect enumeration to optimize sand inventory management. Qualitative data from observations, expert interviews, and company records (2021-2022) and quantitative analysis identified Policy 58 as optimal, reducing excess costs to Rp. 32,463,360 monthly. Implementing improvements in specific overstock states (3, 4, 5, and 6) provides a strategic approach to minimize sand overstock and associated costs.

Highlight:

Inventory Decline: 8% target drop due to uncontrolled inventory in 2022.
Optimal Policy: Policy 58 reduced monthly excess costs to Rp. 32,463,360.
Strategic Improvements: Implement changes in states 3, 4, 5, and 6 to manage overstock.

Keywoard: Inventory Control, Markov Chain, Perfect Enumeration, Overstock Management, Construction Materials

Revolutionizing Welding Ergonomics to Mitigate Musculoskeletal Risks

Boy Isma Putra — 2024-06-12

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

Reducing Production Defects in Indonesian Furniture Using Seven Tools and 5W+1H

Asrul Burhanudin — 2024-06-12

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

Transforming Tablet Production in Indonesia with 66% Faster Manufacturing

Tiva Hendra Yus’Ady — 2024-06-12

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

Unveiling Key Factors for Enhanced Employee Performance in Indonesia

Agung Andana Yoshanda — 2024-06-12

This study investigates the impact of employee competence and the work environment on performance at PT. Karya Mitra Teknik Forklift Sidoarjo. Through observations, interviews, and surveys with 30 employees over six months, the study applies Partial Least Squares Structural Equation Modeling (PLS-SEM) and Importance Performance Analysis (IPA). Results show that both competence and the work environment significantly influence performance, with timely task completion and a supportive work environment identified as key areas for improvement. Enhancing employee discipline and optimizing workplace conditions are recommended to boost productivity and employee satisfaction in heavy equipment service companies. Further research could explore additional factors like compensation to further enhance organizational outcomes.

Highlight:

Investigate competence and environment effect on employee performance.
Timely task completion and supportive work environment enhance performance.
Improve employee discipline and optimize workplace conditions for effectiveness.

Keywoard: Competence, Work Environment, Performance, Heavy Equipment Services, Employee Satisfaction

Prioritizing Maintenance Strategies for Efficient Forklift Performance Through Failure Analysis

Naufal Rizky — 2024-06-12

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

Overcoming Quality Control Challenges in Car Exhaust Manufacturing

Moch. Agung Setiono — 2024-06-12

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

Revolutionizing Foam Cutting Efficiency in Indonesia with AutoCAD

Resha Hibatur Rahman Hakim — 2024-06-11

Foam set machines are essential for cutting foam sheets in various industries, including furniture, textiles, and foam manufacturing. PT. Amangriya, using a custom foam set machine for two years, identified the need for efficiency improvements. This research aimed to enhance the foam set machine's design using AutoCAD software. Key improvements included an automatic top clamp, a flexible side clamp, and reduced machine dimensions. These modifications resulted in a more efficient and compact machine, facilitating easier manufacturing and assembly processes. The study highlights the potential for significant efficiency gains in the foam manufacturing industry through design enhancements.

Highlight:

Enhanced machine design with AutoCAD software improves efficiency and functionality.
Key modifications include automatic top clamp and flexible side clamp.
Reduced machine dimensions facilitate easier manufacturing and assembly.

Keywoard: Foam set machine, design enhancement, efficiency, AutoCAD, manufacturing

Unveiling the Potential of Friction Stir Welding for Seamless Metal Joining

Dicky Fajar Rahmadan — 2024-06-12

Friction Stir Welding (FSW) has revolutionized metal joining in manufacturing by offering robust joints without defects. This study examines FSW using specific parameters and evaluates its impact on mechanical properties and microstructure. Through rotational speed (2192 RPM), welding speed (36.3 mm/minute), tool tilt (3.4°), and concave shoulder angle (9°), FSW was applied to predetermined metal materials. Impact and Vickers tests were conducted post-welding to assess toughness, surface hardness, and microstructural changes. Results highlight the significant influence of FSW parameters on material properties, providing insights for optimizing efficiency and quality in the manufacturing industry. The study's findings contribute to addressing knowledge gaps and advancing FSW applications in industrial settings.

Highlight:

Precise Parameters: Control for strong joints in manufacturing.
Toughness Evaluation: Assessing joint resilience under dynamic loads.
Industry Optimization: Enhancing efficiency and quality in metal joining processes.

Keywoard: FSW, Manufacturing, Mechanical Properties, Optimization, Impact Testing

Arduino Sensors Reveal Temperature-Driven Compression Fluctuations in Vehicle Engines

Ubaidillah Fikroh — 2024-06-12

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

NaOH Treatment Revolutionizes Strength of Fiber Composites Globally

Wahyu Aji Pamungkas — 2024-06-12

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

Transforming Aluminum Welding Through FSW Innovations

Sandifta Iffah Sjaifulah — 2024-06-13

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

Designing Foundations on Natural Soil for Specified (Uniform) Settlement

Tulakov Elmurad Salomovich — 2024-06-28

This study addresses the critical issue of differential settlement and long-term fracture prevention in building foundations. Mistakes in designing strip and column foundations on natural soil often lead to cracks due to uneven settlements, as traditional methods prioritize matching foundation base pressure to soil bearing resistance, often neglecting settlement calculations. This research highlights the importance of incorporating settlement analysis into foundation design. A comparative review of existing methods and field data reveals significant disparities between standard design approaches and those considering settlement. Findings show that foundations designed with consistent settlement criteria exhibit better structural strength and reduced crack formation. The study underscores the need for a fundamental shift in foundation design procedures to include settlement analysis, ensuring the long-term durability and safety of buildings.

Highlights:

Traditional foundation design often neglects settlement calculations, leading to structural issues.
Incorporating settlement analysis results in stronger, more durable foundations.
Comparative review highlights the need for updated design procedures to prevent cracks.

Keywords: Foundation Design, Settlement Analysis, Structural Strength, Differential Settlement, Crack Prevention

Analysis of the Effect of Fraud Pentagon on Financial Statement Fraud Using M-Score and F-Score

Dewi Masitah — 2024-06-14

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