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All Journal Jurnal Fisika Unand Teknomekanik Jurnal Pengabdian kepada Masyarakat Nusantara
Priyanda, Eko
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Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences

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Lean six sigma methodology for waste reduction in ship production Priyanda, Eko; Sutanto, Agus
Teknomekanik Vol. 6 No. 1 (2023): Regular Issue
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (613.103 KB) | DOI: 10.24036/teknomekanik.v6i1.24172

Abstract

This study was conducted to reduce the amount of waste in ship production and assembly processes at PT ES. Several wastes during the ship production process result in the actual ship completion time being longer than the planning time set by the process planner. Therefore, accurate analysis is required to reduce waste. In this way, contributing factors can be identified, and more effective solutions can be obtained to reduce waste. This is done by implementing the Lean Six Sigma method (DMAIC processes) and several tools and methods, such as Pareto and fishbone diagrams and the FMEA method. The results show that the most critical potential root cause affecting production delays comes from the potential causes with the highest Risk Priority Number (RPN) value. The causes are welders who do not understand the WPS (RPN 432), unstable welding transformers (RPN 432), and unproductive loader movements (RPN 384). The recapitulation of welding defects produced in the production process at a sigma level of 2.48. Recommendations for the three potential critical wastes were made and planned for implementation. The estimated average RPN impairment for the three critical root causes was 32.3%. This condition will impact the total ship production time, which is 6% shorter (equivalent to 14 days) than the previous production time with a new sigma level of 2.55.
Pelatihan Teknik Pengoperasian Mesin Milling Vertical untuk Masyarakat Effiandi, Nota; Nasirwan, Nasirwan; Nusyirwan, Nusyirwan; Priyanda, Eko; Salsabila, Syafira; Fadilah, Alif Rifqi; Rahman, Riki
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 7 No. 1 (2026): Edisi Januari - April
Publisher : Lembaga Dongan Dosen

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Abstract

Pengembangan kompetensi permesinan pada sektor industri kecil dan menengah (IKM) merupakan langkah strategis dalam meningkatkan produktivitas dan daya saing industri nasional, khususnya bagi peserta didik tingkat menengah dan vokasi. Namun, keterbatasan fasilitas praktik dan metode pelatihan yang masih bersifat demonstratif menyebabkan rendahnya penguasaan keterampilan praktis. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan keterampilan dasar pengoperasian mesin milling vertical melalui pelatihan berbasis praktik langsung (hands-on training) serta mengevaluasi efektivitasnya secara kuantitatif. Kegiatan melibatkan 12 peserta yang terdiri atas 2 peserta MA, 6 peserta SMA, dan 4 peserta SMK. Metode pelatihan mengacu pada job sheet industri dan SOP keselamatan kerja. Evaluasi dilakukan melalui penilaian kualitas benda kerja hasil milling meliputi akurasi dimensi, ketepatan proses, kepatuhan K3, dan kerapian hasil. Hasil menunjukkan bahwa 83,3% peserta mampu menghasilkan benda kerja dengan deviasi dimensi ≤ ±0,5 mm dan tingkat kepatuhan K3 sebesar 91,7%. Temuan ini menunjukkan bahwa metode hands-on training efektif dalam meningkatkan keterampilan pengoperasian mesin milling vertical. Program ini diharapkan dapat menjadi model berkelanjutan untuk penguatan kapasitas pendidikan vokasi dan peningkatan kompetensi teknis, khususnya di sektor IKM
Land Cover Change in Riau Province and Its Implications for Carbon Stock and CO₂ Emissions Safitri, Ramadani; Marzuki, Marzuki; Priyanda, Eko; Salsabila, Syafira; Ridwan, Ridwan; Rahman, Riki
Jurnal Fisika Unand Vol 15 No 2 (2026)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.15.2.221-228.2026

Abstract

This study aims to analyze peatland land cover changes in Riau Province during 2012, 2016, 2020, and 2024 and their implications for carbon stock and CO₂ emissions. The study used Landsat 7 ETM+ and Landsat 8 OLI/TIRS satellite imagery processed through supervised classification and multitemporal overlay analysis using ArcGIS. The results indicate that vegetation remained the dominant land cover class but experienced a cumulative decline of 1,393,360 ha, especially during 2016–2020 following the 2015 major fires, while built-up areas increased by 249,357 ha. This vegetation loss significantly affected carbon stocks, with an estimated loss of 418,008,000 tons C or 1,534,089,360 tons CO₂, and the 2016–2020 period contributed most to emissions. These findings confirm that peatland land cover changes are not only spatially significant but also influence carbon dynamics and greenhouse gas emissions. Multitemporal remote sensing analysis proved effective in monitoring land cover changes and estimating carbon emissions, providing a scientific basis for sustainable peatland management and regional climate change mitigation strategies.
Co-Authors Agus Sutanto Fadilah, Alif Rifqi Marzuki Marzuki Nasirwan Nasirwan Nota Effiandi Nusyirwan Nusyirwan Ridwan, Ridwan Riki Rahman Safitri, Ramadani Salsabila, Syafira