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Jurnal Taguchi : Jurnal Ilmiah Teknik dan Manajemen Industri
Published by Universitas Bina Bangsa
ISSN : 2798964X     EISSN : 27989658     DOI : https://doi.org/10.46306/tgc
Core Subject : Engineering,
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering
Taguchi Adalah Jurnal Ilmiah Keilmuan Teknik dan Manajemen Industri terbit secara daring pada bulan Juni dan Desember. untuk menyebarluaskan hasil-hasil penelitian dalam bidang keilmuan Teknik dan Manajemen Industri sesuai dengan Body Knowledge pada Teknik industri.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 162 Documents
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PENGEMBANGAN PRODUK YOGHURT BERBASIS LIMBAH KEJU DI RUMAH KEJU JOGJA (KEJUGJA) Putri, Stevanie Primisari; Ranzani, Cut Dherra Widya Sari; Sihombing, Abi Mael; Fauzi, Yusuf; Onthoni, Maurits Calvin
Jurnal Ilmiah Teknik dan Manajemen Industri Vol. 4 No. 2 (2024): Jurnal Taguchi : Jurnal Ilmiah Keilmuan Teknik dan Manajemen Industri
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/tgc.v4i2.253

Abstract

Rumah Keju Jogja (KEJUGJA) is a cheese producer that requires approximately 1,200 liters of milk per month to produce its cheese. The whey waste generated during the cheese production process, amounting to 960–1,080 liters, is often discarded without optimal utilization, despite containing valuable nutrients. This study employs the Taguchi parameters to identify issues in whey waste management and process it into high-quality and financially viable yogurt. The method applied is the Taguchi Design of Experiments using an orthogonal array (OA) L9 to determine the optimal combination of factors affecting yogurt quality, namely milk, whey, and yogurt starter. The results of the Taguchi Design of Experiments indicate that the best combination for taste is 200 ml of milk, 200 ml of whey, and 20 g of yogurt starter, while for texture and thickness, the optimal combination is 300 ml of milk, 200 ml of whey, and 20 g of yogurt starter. The analysis of variance (ANOVA), conducted with α=0.05 and an f-table value of 5.14, reveals that no factor significantly affects yogurt quality at a 95% confidence level. From a financial perspective, the analysis shows that this yogurt product is not only economically viable but also has the potential to generate a net profit of IDR 78,967 from producing 25 cups per day. The breakeven point (BEP) indicates that selling 143 units of yogurt per month covers operational costs of IDR 1,721,040, with an investment payback period of IDR 1,672,000 achieved in approximately seven weeks. These findings emphasize the importance of innovation in waste management to enhance the sustainability and profitability of local cheese production businesses
EFISIENSI BIAYA BAHAN BAKU MENGGUNAKAN METODE MRP UNTUK MEMINIMASI BIAYA INVENTORY DI CV. NUR RAHMAT TEKNIK Juliansyah, Juliansyah; Aryanto, Aryanto; Syamsi, Wuri Arianty; Fauzi, Muchammad
Jurnal Ilmiah Teknik dan Manajemen Industri Vol. 4 No. 2 (2024): Jurnal Taguchi : Jurnal Ilmiah Keilmuan Teknik dan Manajemen Industri
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/tgc.v4i2.255

Abstract

This study aims to analyze the efficiency of raw material inventory management using the Material Requirements Planning (MRP) method to minimize inventory costs in CV. Nur Rahmat Teknik. The company faces the challenges of conventional inventory management, which often leads to excess or shortage of raw materials as well as high storage costs. This research method was carried out using a quantitative method with the data source used being secondary data through historical data of company requests. The MRP method in the study was applied to identify raw material needs based on historical demand data, calculate optimal order schedules, and evaluate their impact on inventory costs. Four forecasting methods were used, namely Double Moving Average, Double Exponential Smoothing from Brown, Double Exponential Smoothing From Holt, and Linear Regression, to determine the forecasting method used and the level of accuracy of predicting raw material needs. The lot sizing techniques used in this MRP method are Economic Order Quantity, Periodic Order Quantity, and Lot for Lot. The results show that the application of the MRP method significantly reduces inventory costs by optimizing the booking lot size and booking schedule. These findings provide valuable insights into more efficient inventory management, improving the company's competitiveness and profitability. Practical recommendations are given for the sustainable implementation of the MRP method in the company's operations

Page 17 of 17 | Total Record : 162

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