Claim Missing Document
Check
Articles

Found 3 Documents
Search

ANALISIS KETERSEDIAAN BERAS DI SURABAYA DENGAN PENDEKATAN SISTEM DINAMIS Dwi Sukma Donoriyanto; Isna Nugraha; Rana Atikah Ardlianti
Tekmapro Vol. 18 No. 2 (2023): TEKMAPRO
Publisher : Program Studi Teknik Industri Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/tekmapro.v18i2.334

Abstract

Kota Surabaya salah satu kota di Provinsi Jawa Timur dengan tingkat jumlah penduduk setiap tahun yang terus meningkat yang menyebabkan kebutuhan untuk konsumsi panganan pokok beras semakin banyak dan berdampak pada ketersediaan beras yang semakin menipis serta krisis beras di kemudian hari. Serta lahan pertanian yang terus berkurang setiap tahunnya dimana dipergunakan untuk perumahan maupun industri. Dengan permasalahan diatas penelitian ini bertujuan untuk menganalisis kebijakan ketersediaan beras di surabaya pada masa mendatang guna memberikan alternatif kebijakan untuk meningkatkan ketersediaan beras. Penyelesaian pada penelitian ini adalah menggunakan metode pendekatan sistem dinamis, dengan langkah awal pembuatan model causal loop diagram, lalu stock flow diagram hingga simulasi dengan bantuan software vensim. Hasil yang didapatkan adalah dengan adanya kebijakan jumlah ketersediaan beras meningkat sebanyak 205.840 ton/tahun dan jumlah produksi beras sebanyak 287.216 ton/tahun. Dari hasil diatas bisa disimpulkan dengan adanya kebijakan untuk peningkatan produktivitas dapat meningkatkan hasil produksi beras dan ketersediaan beras begitu juga dengan kebijakan pengurangan lahan mutasi dapat berpengaruh juga dalam meningkatnnya ketersediaan beras dan produksi beras.
Waste Analysis in The Production Process Urea Fertilizer Using The Lean Six Sigma Method and Recommendations for Improving Failure Mode Effect Analysis (FMEA) at PT. Damai Sejahtera Tivani Nava Arier; Rochmoeljati Rochmoeljati; Isna Nugraha
Advance Sustainable Science Engineering and Technology Vol. 6 No. 3 (2024): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i3.579

Abstract

Agriculture plays an important role in the Indonesian economy, fertilizer is an important element in the development of the agricultural sector, especially urea fertilizer. PT. Damai Sejahtera, as one of the largest fertilizer producers in Indonesia, experienced waste in the urea fertilizer production process. In this study, lean six sigma was utilized. Using a lean approach, a reduction in non-value-added activities formed by the nine types of waste of 1360 to 1276 or 6.17% was achieved. However, using six sigma, it was found that the production process was not satisfactory as it resulted in many product defects with 36,331 DPMO and a sigma level of 3.32. Improvement suggestions to increase the sigma value were obtained through FMEA. Through this research, Process Cycle Efficiency was obtained from 74.85% to 80.35%.
Waste Analysis in The Production Process Urea Fertilizer Using The Lean Six Sigma Method and Recommendations for Improving Failure Mode Effect Analysis (FMEA) at PT. Damai Sejahtera Tivani Nava Arier; Rochmoeljati Rochmoeljati; Isna Nugraha
Advance Sustainable Science Engineering and Technology Vol. 6 No. 3 (2024): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i3.579

Abstract

Agriculture plays an important role in the Indonesian economy, fertilizer is an important element in the development of the agricultural sector, especially urea fertilizer. PT. Damai Sejahtera, as one of the largest fertilizer producers in Indonesia, experienced waste in the urea fertilizer production process. In this study, lean six sigma was utilized. Using a lean approach, a reduction in non-value-added activities formed by the nine types of waste of 1360 to 1276 or 6.17% was achieved. However, using six sigma, it was found that the production process was not satisfactory as it resulted in many product defects with 36,331 DPMO and a sigma level of 3.32. Improvement suggestions to increase the sigma value were obtained through FMEA. Through this research, Process Cycle Efficiency was obtained from 74.85% to 80.35%.