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Analisis Potensi Bahaya Kerja pada Proyek Pembangunan Pintu Masuk Utama di Bandara Sultan Kaharuddin Sumbawa dengan Metode HAZOP Mashabai, Ismi; Ruspendi, Ruspendi; Rusmalah, Rusmalah
Industrika : Jurnal Ilmiah Teknik Industri Vol. 8 No. 2 (2024): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v8i2.1134

Abstract

The construction of the main entrance to Sumbawa's Sultan Kaharuddin Airport was carried out by CV. Swadaya Mas Engineering. Based on the results of observations in the field, potential work accidents were discovered. HAZOP (Hazard and Operability Study) is a systematic, thorough, and structured hazard identification method for identifying various problems. The results of the analysis at the airport are 50% with extreme potential risk (Extreme Risk), 25% with high-risk level (High Risk), 25% with moderate risk level (Moderate Risk), and 14% with low-risk level (Low Risk) and potential classification There are 29% potential hazards in the work attitude classification. 14% potential danger in work procedure classification, and 57% potential danger in workplace classification. Suggestions for improvement (1) organize materials to make them neater by installing warning gates, (2) implement SOP and provide outreach to workers regarding the importance of K3 and the use of APD, (3) directly implement the priority of using APD. Keywords: Construction of Sumbawa Airport Entrance, CV. Swadaya Mas Engineering, HAZOP
Analisis Pengendalian Kualitas Sablon Pada Sandal Jepit Dengan Menggunakan Statistical Process Control (SPC) di PT. XZ Ruspendi, Ruspendi; Mashabai, Ismi; Sarwoko, Wanto; Rusmalah, Rusmalah; Bayu, Sella
Industrika : Jurnal Ilmiah Teknik Industri Vol. 9 No. 1 (2025): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v9i1.1862

Abstract

PT. XZ is a company engaged in the manufacture of flip-flops. One of the sandal products produced is Screen-printed flip flops. However, in every production process failure is inseparable in the form of defective products in the production process. The purpose of this research is to minimize defects in Screen printing products. To reduce these defects, it is necessary to analyze the production process using the Statistical Process Control method. The analysis was carried out by using Seven Tools and 5W+1H tools. The results of the analysis show that the types of defects that occur in Screen printing products are the color of the paint is uneven, the paint is smeared and peeled off, and the Screen printing is not precise. Based on the three types of defects, the most dominant defect is uneven paint color with a percentage of 41,8%. Screen printing product defects are caused by human, machine, material, and method. Improvement efforts made to minimize the occurrence of uneven/fading paint color defects, namely conducting briefings and conducting supervision and checking on Screen printing results, checking on the Screen before printing is done, checking paint before printing, and providing training on rework standardization to employees and conducting regular performance evalutions. Keywords: Quality, Statistical Process Control, Seven Tools, 5W+1H
Mitigating operational risks and enhancing machine performance through total productive maintenance and OEE: a case study on packaging equipment Ruspendi, Ruspendi; Rusmalah, Rusmalah; Hendra, Franka; Effendi, Riki
Jurnal Polimesin Vol 23, No 5 (2025): October
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v23i5.7469

Abstract

This study evaluates the effectiveness of a laser marking machine in an instant noodle packaging line using a Total Productive Maintenance (TPM) framework and Overall Equipment Effectiveness (OEE) metrics over a 12‑month period. A mixed‑method design combined direct observation, semi‑structured interviews with operators and technicians, and a literature review to assess availability, performance efficiency, and quality rate. The machine achieved excellent availability, averaging 98.95%, reflecting the impact of preventive maintenance in reducing unplanned downtime. Performance efficiency varied substantially, ranging from 59.13% to 93.27%, indicating significant headroom for productivity improvement through cycle‑time stabilization and minor‑stoppage reduction. The quality rate averaged 89.21% and remained relatively stable, though still short of ideal benchmarks, suggesting the need for tighter in‑process quality control. The monthly OEE peaked at 84.77% in April, approaching the JIPM benchmark of 85%, while the period average was 60.38%, underscoring the need for sustained improvement initiatives. Among the three components, performance efficiency exerted the greatest influence on OEE due to its high variability across months.