Manajemen Persediaan Bahan Baku Kopi Bubuk Pada Ukm  Sidole 986 Di Kota Palu

Marina, Iswah; Howara, Dafina; Sulmi, Sulmi

doi:10.22487/jpa.v1i3.1524

Cited by 2 publications

(3 citation statements)

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“…The results of this comparison show that the EOQ method is more certain in knowing Re Order Points and can find out the daily need for coffee beans in SME Sido Luhur so that SME Luhur can know when to order coffee beans again precisely to avoid running out of stock. The Re Order Point is effective in helping businesses know when to order raw materials back in a timely manner so that inventory costs remain efficient (Indiarestu, 2016;Marina et al, 2022). The results of this study are supported by previous research statements from Deftania et al, (2022) ;Indiarestu, (2016) ;Iskandar, (2015); Kurnala et al, (2018); Marina et al, (2022); Paulus, (2022) the EOQ method can determine the right ordering time for coffee business actors so that they can save raw material inventory costs by determining the optimum order quantity that can be made by business actors.…”

Section: Comparison Of Coffee Bean Inventory Control Using the Sme Si...mentioning

confidence: 99%

“…The Re Order Point is effective in helping businesses know when to order raw materials back in a timely manner so that inventory costs remain efficient (Indiarestu, 2016;Marina et al, 2022). The results of this study are supported by previous research statements from Deftania et al, (2022) ;Indiarestu, (2016) ;Iskandar, (2015); Kurnala et al, (2018); Marina et al, (2022); Paulus, (2022) the EOQ method can determine the right ordering time for coffee business actors so that they can save raw material inventory costs by determining the optimum order quantity that can be made by business actors. According to (Indiarestu, 2016;Rahmawati et al, 2022) the optimum ordering quantity of raw materials using the EOQ method is higher than using conventional methods by business actors.…”

Section: Comparison Of Coffee Bean Inventory Control Using the Sme Si...mentioning

confidence: 99%

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Analysis of Coffee Raw Material Inventory Control Using the EOQ (Economic Order Quantity) Method in SME Sido Luhur

Sukosyah,

Koestiono,

Dewi

et al. 2023

HBT

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SME Sido Luhur is a producer that processes raw coffee beans who have problems ordering coffee beans every month which is considered to result in higher inventory costs. The sample in this study were SME Sido Luhur owner who were determined based on judgment sampling. The research was conducted at SME Sido Luhur starting September 2022. This research used primary data obtained through interviews and secondary data obtained from the cost and quantity of raw materials in 2018. Data for 2018 can represent 2019, 2020, 2021, 2022, and so on, because starting in 2017 SME Sido Luhur have entmered the maturity phase so the 2018 data can represent the following year based on the relatively stable use of raw materials and having entered the business maturity phase. The analysis method uses EOQ to find the optimum inventory quantity with the lowest possible cost and the right reorder time. A comparison of robusta coffee bean inventory control methods shows that the Economic Order Quantity method is more effective in controlling raw material inventory in SME Sido Luhur as evidenced by the cost of raw material inventory being economical and efficient. After using the EOQ method, orders are made every 2 months to save costs for ordering raw materials compared to before using the EOQ method, which is done every month.

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Section: Comparison Of Coffee Bean Inventory Control Using the Sme Si...mentioning

confidence: 99%

Section: Comparison Of Coffee Bean Inventory Control Using the Sme Si...mentioning

confidence: 99%

Analysis of Coffee Raw Material Inventory Control Using the EOQ (Economic Order Quantity) Method in SME Sido Luhur

Sukosyah,

Koestiono,

Dewi

et al. 2023

HBT

View full text Add to dashboard Cite

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“…In Indonesia, coffee is one of the plantation products that has been cultivated for a long time with a relatively high level of productivity. It is a source of foreign exchange income for the country (Marina et al, 2022). This is increasingly strengthened by evidence from data from the USDA, which ranked Indonesia as the second ASEAN country active in producing and exporting coffee (Alfian, 2021).…”

Section: Introductionmentioning

confidence: 99%

Image Segmentation Analysis Using Otsu Thresholding and Mean Denoising for the Identification Coffee Plant Diseases

Ami Rahmawati,

Yulianti,

Nurajizah

2023

J. Ris. Inform.

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In Indonesia, coffee is one of the plantation products with a relatively high level of productivity and is a source of foreign exchange income for the country. However, unfortunately, certain factors can threaten productivity and quality in cultivating coffee plants, one of which is rust leaf disease. This disease causes disturbances in photosynthesis, thereby reducing plant yields. Therefore, to maintain and control productivity in coffee cultivation, this research carried out the process of observing coffee leaf images through segmentation using the Otsu Thresholding and Mean Denoising methods. The entire series of processes in this research was carried out using the Python programming language and succeeded in providing output in the form of image comparisons showing areas affected by Rust Leaf disease using the Otsu thresholding method alone and the Otsu thresholding method combined with a non-local means denoising algorithm. The test results prove that the Otsu thresholding method with the non-local means denoising algorithm has a smaller MSE value. It is the most optimal method for handling coffee leaf disease image segmentation with an accuracy level of 88%. It is hoped that this research can support farmers in providing insight into early detection of coffee plant diseases and increasing productivity through visual analysis.

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Manajemen Persediaan Bahan Baku Kopi Bubuk Pada Ukm Sidole 986 Di Kota Palu

Cited by 2 publications

References 0 publications

Analysis of Coffee Raw Material Inventory Control Using the EOQ (Economic Order Quantity) Method in SME Sido Luhur

Analysis of Coffee Raw Material Inventory Control Using the EOQ (Economic Order Quantity) Method in SME Sido Luhur

Image Segmentation Analysis Using Otsu Thresholding and Mean Denoising for the Identification Coffee Plant Diseases

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