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All Journal International Journal of Science and Environment
Hery Irwan
Teknik Industri, Fakultas Teknik, Universitas Riau Kepulauan, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Mathematics Physics

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 1 
Analysis Of Pipe Welding Quality Control Using The Seven Tools Method In The Manufacturing Industry Bornon Tapubolon; Hery Irwan
International Journal of Science and Environment (IJSE) Vol. 6 No. 3 (2026): August 2026
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v6i3.775

Abstract

Weld quality plays an important role in ensuring the reliability and safety of pipe products in the manufacturing industry. Welding defects may increase production costs, require rework, and reduce operational efficiency. This study aims to identify welding defects, determine the dominant defect types, analyze their root causes, and propose quality improvement strategies using the Seven Quality Control (Seven QC) Tools. The research applied Check Sheet, Histogram, Pareto Diagram, Fishbone Diagram, Scatter Diagram, Flow Chart, and P-Control Chart (P-Chart). Data were collected from January to June 2026, consisting of 3,090 welded joints with 209 defective welds. The results showed an overall defect rate of 6.76%, with porosity as the most dominant defect (38.28%), followed by crack (25.36%) and undercut (17.70%). Pareto analysis indicated that these three defects contributed 81.34% of the total defects. The P-Chart confirmed that the welding process remained statistically under control, while the Fishbone Diagram identified man, machine, method, material, measurement, and environment as the main causes of defects. The proposed improvements include operator training, strict implementation of the Welding Procedure Specification (WPS), preventive maintenance, improved material control, and enhanced inspection procedures to reduce welding defects and improve product quality.
Quality Assurance Analysis Using The Six Sigma Dmaic Method To Reduce Product Defects Dedy Ariyanto; Hery Irwan
International Journal of Science and Environment (IJSE) Vol. 6 No. 3 (2026): August 2026
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v6i3.776

Abstract

Forklifts are essential material handling equipment that play a significant role in supporting operational activities in manufacturing companies. The high intensity of forklift usage increases the risk of equipment failure, resulting in higher downtime and reduced operational effectiveness. This study aims to analyze the operational effectiveness of Forklift 1 using the Overall Equipment Effectiveness (OEE) method and to propose maintenance improvements to enhance forklift reliability and operational performance. This research employs the Overall Equipment Effectiveness (OEE) method, which consists of three main indicators: Availability Rate, Performance Efficiency, and Quality Rate. The data were collected through observations, interviews, documentation, and historical records of Forklift 1 operations and maintenance. The results indicate that before the proposed maintenance improvements were implemented, the OEE values were relatively low, reaching 36.9% in October, 63.8% in November, and 18.8% in December. After implementing a preventive maintenance schedule based on 540 operating hours, the OEE values improved significantly to 99.8% in January, 81.2% in February, and 99.8% in March. These findings demonstrate that the implementation of the OEE method effectively improves forklift operational performance by reducing downtime, increasing equipment reliability, and optimizing maintenance scheduling. Therefore, the OEE method can serve as an effective reference for improving productivity and operational efficiency in manufacturing companies.
Analysis of Factors Causing Decrease In Heating, Ventilation, and Air Conditioning (HVAC) Performance Using A Cause Effect Diagram (Fishbone Diagram) Hardimam Arbi; Hery Irwan
International Journal of Science and Environment (IJSE) Vol. 6 No. 3 (2026): August 2026
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v6i3.777

Abstract

The Heating, Ventilation, and Air Conditioning (HVAC) system is a supporting facility that functions to regulate temperature, humidity, air circulation, and indoor air quality to ensure smooth production processes. A decline in HVAC system performance can increase energy consumption, extend downtime, and reduce overall operational effectiveness. This study aims to identify the factors causing the decline in HVAC performance using the Cause-and-Effect Diagram (Fishbone Diagram). The research was conducted on the Air Handling Unit (AHU) at PT XYZ Batam using maintenance and failure data collected from January to December 2025. The research methods included field observations, documentation, and analysis based on the 6M approach, consisting of Man, Machine, Method, Material, Measurement, and Environment. The results showed a total of 61 failure incidents, with the most dominant failure being dirty air filters accounting for 18 cases (29.51%), followed by dirty cooling coils with 12 cases (19.67%), and worn blower belts with 9 cases (14.75%). The Fishbone Diagram analysis indicated that the Machine and Method factors were the primary causes of HVAC performance degradation, mainly due to dirty filters, contaminated cooling coils, and ineffective preventive maintenance practices. The proposed improvements include routine component cleaning, scheduled preventive maintenance, regular calibration of measuring instruments, the use of standard compliant spare parts, and technical training for maintenance personnel. Implementing these recommendations is expected to improve HVAC system reliability, reduce failure frequency, enhance energy efficiency, and support sustainable industrial operations.
Analysis And Control Of Genset Damage Risk In The Facility Department Using The Hazard And Operability Study (Hazop) And Fault Tree Analysis (FTA) Methods Boas Ginting; Hery Irwan
International Journal of Science and Environment (IJSE) Vol. 6 No. 3 (2026): August 2026
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v6i3.778

Abstract

A generator set (genset) is an essential supporting facility that ensures the continuity of electrical power supply in manufacturing companies during failures of the main power source. Generator failures may interrupt production activities, increase maintenance costs, and reduce overall operational effectiveness. This study aims to identify potential risks of generator set failures using the Hazard and Operability Study (HAZOP) method, analyze the root causes of failures using Fault Tree Analysis (FTA), and propose appropriate risk control recommendations. The research data were collected through observations, interviews, documentation, and historical maintenance records from the Facility Department. The HAZOP analysis revealed that radiator overheating had the highest Risk Score of 20, categorized as an extreme risk, while battery drop and fuel filter blockage each obtained a Risk Score of 16, categorized as high risk. Furthermore, the FTA results indicated that generator failure was caused by several basic events, including battery drop, fuel filter blockage, radiator overheating, alternator failure, starter motor failure, and oil leakage, with a calculated top event probability of 67.2%. The proposed recommendations include implementing preventive maintenance, conducting routine inspections, replacing components based on service life, and improving generator condition monitoring to enhance equipment reliability and minimize operational failure risks.
Co-Authors Boas Ginting Bornon Tapubolon Dedy Ariyanto Hardimam Arbi