2019
DOI: 10.1088/1755-1315/230/1/012056
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Inventory control of raw material on sweet bread production

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Cited by 4 publications
(2 citation statements)
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“…a) 0: There is no correlation between two variables b) > 0 -0.25: Very weak correlation c) > 0.25 -0.5: Fair correlation d) > 0.5 -0.75: Strong correlation e) > 0.75 -0.99: Very strong correlation f) 1 : Perfect correlation Based on the table above, it is known that the Coefficient of Determination (R²) value is 0.621. This shows that the raw material inventory control variable (X) can explain or explain the production process (Y) by 62.1% (Citraresmi & Azizah, 2019;Susanto, 2018). Meanwhile, the remaining 37.9% (100% -62.1%) is influenced by other variables not included in the model or equation in this research.…”
Section: Sumber: Output Spss 26mentioning
confidence: 63%
“…a) 0: There is no correlation between two variables b) > 0 -0.25: Very weak correlation c) > 0.25 -0.5: Fair correlation d) > 0.5 -0.75: Strong correlation e) > 0.75 -0.99: Very strong correlation f) 1 : Perfect correlation Based on the table above, it is known that the Coefficient of Determination (R²) value is 0.621. This shows that the raw material inventory control variable (X) can explain or explain the production process (Y) by 62.1% (Citraresmi & Azizah, 2019;Susanto, 2018). Meanwhile, the remaining 37.9% (100% -62.1%) is influenced by other variables not included in the model or equation in this research.…”
Section: Sumber: Output Spss 26mentioning
confidence: 63%
“…Persamaan diatas didasarkan pada pembobotan data terakhir dan nilai bobot (1/N), serta dikarenakan N adalah sebuah bilangan positif sehingga nantinya menjadi konstanta antara nol dan satu maka 1/N digantikan dengan α sehingga (Ardiansah et al, 2021) : (Citraresmi dan Azizah, 2019). Metode tersebut dapat digunakan dalam proses perencanaan produksi.…”
Section: A Peramalanunclassified