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zoehuntz34 (zoehuntz34)

 

 

Design engineer experience of more than 9 years in the field (2D/3D/Hypothesis Model/Prototype/Simulation) of engineering and software support, able to apply and accompany the observation process for research project reporting and analysis of findings.

Statistical Analysis Tutorial/Assistant Technical Analysis RAB (Rencana Anggaran Biaya) Quesioner

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User Name: zoehuntz34
Account Type: Personal Account
Date Registered: 06/05/2025 20:18:35 WIB
Last Seen: 20/04/2026 22:26:40 WIB
Provinsi: Jawa Timur
Kabupaten: Kota Kediri
Website:
Online Hours: 30.12
Projects Won: 0
Projects Completed: 0
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Current Projects: 0

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2021: Specializing in data analysis, I designed a rest system for tofu craftsmen using physiological data and QFD. The system improves performance by optimizing rest durations based on pulse, metabolism, and prioritized activities like sleep, worship, evaluation, warm-up, and hydration.

2021: Applied Blue Ocean Strategy using Personal Interest and 7P analysis for KP Thrift Market. Conducted SWOT, validity, and reliability tests to design six strategies focused on consumer identity, product value, peer trust, loyalty, and innovative market positioning.

2021: I specialize in data analysis and contributed to designing an automated river-cleaning tool with sensor-based systems. The tool optimizes garbage removal efficiently and autonomously, reduces manual labor, and uses waste volume data to adjust its operation speed.

2021: I specialize in data analysis and system performance evaluation. I analyzed ABC Bank's queuing system using queuing theory, revealing 83.5% server utility and 25.6 minutes average wait time, identifying inefficiencies and recommending improved service models for better customer experience.

2021: I specialize in data analysis and information system development. I implemented EOQ to reduce inventory costs by over Rp13 million and developed a Visual Basic–based system integrated with MS Access to streamline ordering and budgeting processes for micro-enterprises.

2022: I specialize in data analysis in ergonomic studies of motorcycle riders, utilizing Nordic Body Maps, RULA, REBA, and BMI to assess musculoskeletal disorder complaints and posture risks, and recommending motorcycle design improvements (seat and handlebar) to reduce injury risks from repetitive static activities.

2022: I specialize in data analysis for asset replacement decisions using the Equivalent Uniform Annual Cost (EUAC) method, evaluating machine economic life and cost efficiency. In a case study, I identified the optimal replacement year by analyzing annual cost trends and comparing asset defender vs. challenger options.

2022: I specialize in supplier performance evaluation and demand forecasting using AHP and Single Exponential Smoothing. I analyzed supplier criteria (Quality, Cost, Delivery) and predicted arabica coffee demand by converting cup volume to bean weight, supporting strategic decisions for inventory and ordering models in coffee shop operations.

2022: I specialize in ergonomic risk analysis using NBM, biomechanics, NIOSH, and Fuzzy Mamdani methods. In a case study on manual soy porridge filtration, I identified high musculoskeletal risk levels and validated traditional vs. fuzzy biomechanics models, supporting the need for ergonomic interventions in manual material handling.

2022: I specialize in service system optimization using queueing theory and simulation. In a banking case study, I analyzed 4 vs. 5 server scenarios, concluding 5 servers improved utility and reduced waiting times. I also applied fishbone analysis to identify root causes and propose service improvement strategies.

2022: I specialize in ergonomic risk assessment using Fuzzy Sugeno, NBM, Biomechanics, and NIOSH methods. In a study of soybean pulp filtration, I identified moderate risk levels despite safe biomechanics values, highlighting the need for workplace and facility improvements to reduce musculoskeletal injury potential.

2022: I specialize in investment feasibility analysis using NPV, IRR, PBP, PI, and B/C ratio. In a custom workshop business case, I concluded the investment was viable with IRR of 29.4% and PBP of 2.75 years, highlighting improved asset utilization as a key profitability driver.

2023: I specialize in mental workload assessment using NASA TLX and non-parametric analysis. In a study of online motorcycle taxi drivers, I identified BMI and gender as significant factors affecting mental load and frustration levels, providing insights for workload management and ergonomic intervention development.

2023: I specialize in ergonomic product design using anthropometry, Nordic Body Maps, and RULA. I developed an ergonomic chair for cobblers to reduce musculoskeletal risks, integrating adjustable features based on posture analysis and complaint mapping, ultimately aiming to improve health, comfort, and productivity.

2023: I specialize in service quality improvement using Fuzzy-IPA-SERVQUAL integration. In a university admin service case, I identified key performance gaps and priority attributes, mapped improvement strategies in IPA quadrants, and developed targeted proposals to enhance transaction services and user satisfaction based on validated SERVQUAL dimensions.

2023: I specialize in service quality analysis using Fuzzy-SERVQUAL. In a university setting, I identified the highest expectation-performance gaps across five key service attributes, enabling data-driven prioritization for administrative service improvement based on statistically tested fuzzy gap analysis.

2023: I specialize in strategic business analysis using BMC, SWOT, and QSPM. In a case study of PT. Garam, I developed ST strategies to improve salt production stability, enhance quality through appropriate technology, and build brand equity, aiming to boost competitiveness and sustainable growth.

2024: I specialize in sustainable manufacturing analysis using the PDCA approach. At PT. DEM, I evaluated and implemented energy-efficient technologies that reduced emissions by 12% annually and electricity use by over 21,000 kWh, directly supporting SDGs 8, 12, and 13.

2024: I specialize in ergonomic risk analysis. Using Nordic Body Maps and chi-square testing on 70 online drivers, I identified key musculoskeletal complaints—primarily back pain—linked to BMI, height, and age, recommending post-driving stretching to reduce disorder risk.

2024: I model green supply chain risks using the House of Risk (FMEA-QFD) method, focusing on snail chip production at PT. QRP. Analyzing 22 risk agents, I identified poor communication as the key issue. I proposed 6M-based preventive actions to support sustainable, ISO-aligned supply chain improvements.

2024: I evaluated the rice supply chain performance in Kediri using AHP to identify key purchasing and satisfaction factors. Quality ranked highest, followed by price and delivery timeliness. My findings support strategies focused on improving quality, competitive pricing, and timely delivery to stay competitive in the market.

2024: This study designed an ergonomic welding table to improve weld quality and reduce worker fatigue. The table improved alignment accuracy and reduced defect rates. Welding time decreased significantly across joint types—e.g., blunt joints from 85s to 48s—demonstrating enhanced efficiency and precision in welding processes.

2024: This study uses stochastic modeling in Simulink to analyze queue activities at teller counters. Simulations (1,000 and 10,000 trials) revealed the highest server utility at 40% and an average service time of 5.04 minutes. The results emphasize that utility depends on the service quality delivered to customers.

2024: I specialize in data analysis, developing a service quality measurement system for the tangible dimension using Simulink and Mamdani Fuzzy Logic. The system is accurate and efficient, producing Fuzservqual scores of 3.00–3.76, and helps organizations optimize services through reliable prototype simulation and improved decision-making efficiency.

2024: I specialize in data analysis for solar energy prediction by modeling photovoltaic output using observational and NASA data. Through MSE minimization and correlation analysis, I achieved 99.98% prediction accuracy over 4,500 days, supporting sustainable energy with a validated daily output of 9.46 kWh at epoch 124.

 

 

 

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