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ANALISIS DAN EVALUASI ITENSITAS KEBISINGAN MENGGUNAKAN SOFTWARE GOLDEN SURFER PADA PERUSAHAAN MEBEL REVA INTERIOR Maulidi, Muhammad Zaki; Putri, Katerina Najwa; Qinthara, Bahij Naufal; Damayanti, Ikha Ratih; Najah, Freda Julia; Rosyidiin, Afrigh Fajar
PROFISIENSI : Jurnal Program Studi Teknik Industri Vol 12, No 1 (2024): PROFISIENSI JULI 2024
Publisher : University of Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/profis.v12i1.6573

Abstract

Kebisingan adalah gangguan lingkungan yang dapat menimbulkan berbagai dampak, terutama masalah pendengaran bagi pekerja. Penelitian ini mempelajari Itensitas kebisingan di tempat kerja usaha mebel Reva Interior. Pengukuran dilakukan pada 3 titik menggunakan alat Sound level meter yang mewakili area kerja, menggunakan perangkat lunak Golden Surfer 23 untuk menganalisis peta kontur sebaran kebisingan. Hasil menunjukkan beberapa sumber suara mencapai 91,08 dB, 95,53 dB, dan 108,6 dB, melebihi ambang batas. Perhitungan Daily Noise Dose (DND) menunjukkan pekerja hanya diizinkan terpapar 1,98 jam, 1,16 jam, dan 0,508 jam per hari. Upaya pengendalian yang direkomendasikan untuk mebel Reva interior adalah penggunaan earmuff yang memiliki nilai NRR minimal 22 dB dan pemasangan busa peredam pada dinding di area pemotongan dan perakitan yang memiliki NRC 0,6-0,95 ini dapat meredam suara 60-95% dari suara yang dihasilkan. Kata kunci : Daily Noise Dose; Golden surfer 23 ;Kebisingan; Sound level meter; Upaya pengendalian.
Implementation of Kanban and Poka-Yoke to Improve Production Efficiency at CV. XYZ Nando, Fiky Two; Priyangga, Dharu Zastia; Ramadhani, Akbar; Afnan Fairuz, Ferdian Nizar; Armalia, Aqillah; Putri, Katerina Najwa
Indonesian Journal of Engineering and Technological Innovation Vol. 1 No. 2 (2025): June: Indonesian Journal of Engineering and Technological Innovation
Publisher : Yayasan Cendekia Gagayunan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63142/ijeti.v1i2.382

Abstract

XYZ is a household plastic components manufacturer facing elevated defect rates (4–5% daily), accumulation of work-in-process (WIP) in the cooling area, and recurring labeling errors during packaging. This study evaluates the combined application of Kanban as a pull-based material flow control and Poka-Yoke as simple error-proofing devices to improve production efficiency and product quality. A quantitative descriptive approach was employed, using direct observation, time-and-motion measurements, interviews with operators and supervisors, and before–after comparisons of key performance indicators. Kanban sizing was calculated using D = 125 units/hour, L = 4 hours, S = 0.1, and container capacity C = 50 units, yielding an optimal 11 Kanban cards. Poka-Yoke implementations included automatic temperature alarms on molding machines, fixture sensors at finishing stations, and barcode-based label verification at packaging. After implementation, WIP decreased from 280 to 150 units (−46%); inter-process waiting time reduced from 45 to 20 minutes (−56%); daily output increased from 800 to 950 units (+18.7%); defect rate declined from approximately 5% to 1.8%; and labeling errors were eliminated. The results indicate that integrating Kanban and Poka-Yoke can effectively streamline production flow, reduce waste, and enhance productivity in small-to-medium plastic manufacturing operations. Implications, limitations, and recommendations for broader application are discussed.