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Pengendalian Kualitas Proses Penetasan Telur Ayam Broiler Menggunakan Pendekatan Six Sigma Guna Meminimalisir Cacat Produk: Studi kasus pada Departemen Produksi PT Super Unggas Jaya Muhammad Alifudin Islami; Misbach Munir
MES Management Journal Vol. 4 No. 1 (2025): MES Management JournalĀ 
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/mesman.v3i4.453

Abstract

This study analyzed the causes of rejects in broiler egg production using the Six Sigma DMAIC method. Seven main types of defects were found: Miss (18.52%) caused by the parent being too old, Thin (13.74%) due to lack of vitamins and vaccines, Small (3.46%) due to the parent being too young, Dirty (8.16%) due to the parent laying eggs in the wrong place, Crack Farm (35.93%) due to the parent laying eggs in the wrong place, Crack Hatchery (12.37%) due to careless egg transfer process, and Damage (5.47%) due to damage during transfer and grading. To reduce the reject rate, the proposed actions include: paying attention to the age of the parent for Miss defects, providing vitamins and vaccinations for Thin defects, ensuring the parent is old enough for Small defects, ensuring the parent lays eggs in the right place for Dirty and Crack Farm defects, and tightening supervision during transfer and grading of eggs for Crack Hatchery and Damage defects. The implementation of these actions is expected to improve the quality of broiler egg production.
Analisis Penentuan Metode Peramalan Persediaan Bahan Baku UKM Tempe Pak Fadli di Desa Parerejo Dzikrulloh Assofi; Misbach Munir
MES Management Journal Vol. 3 No. 3 (2024): MES Management JournalĀ 
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/mesman.v3i3.454

Abstract

This study aims to find out the right forecasting method in determining the amount of raw material needs and the amount of safety stock to minimize errors in the purchase of soybean raw materials at Pak Fadli Tempe UKM. The benefit of this research is that it can reduce the excess or shortage of raw materials through forecasting methods, as well as determine the need for the right amount of safety stock. In this study, there are 3 permalan methods used, namely moving average, exponential smoothing and naive method, as well as determining the need for safety stock of raw materials that will be used as a reference for future demand for Pak Fadli Tempe UKM. From the results of this study, it can be seen that of the 3 forecasting methods used, the best method with the smallest error value is the exponential smootihing method a = 0.1, with an error value of MAD of 90, MSE of 10,181, and MAPE of 6.9. Meanwhile, in the calculation of safety stock with a service level value of 95%, the lead time is 3 days, so that the recommended safety stock value can be known as 289 kg.