Prediction of the Number of Arrivals of Training Students With the Monte Carlo Method

Sapriadi, Sopi; Yunus, Yuhandri; Dari, Rahmatia Wulan

doi:10.37034/jidt.v4i1.168

Cited by 7 publications

(7 citation statements)

References 4 publications

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“…Hansen and Mowen (2009) classify quality costs into 4 (four) groups, including: The classification of marketing areas can also be referred to using the C4.5 algorithm [18,19,20,21,22,23,24].…”

Section: Hadigufri Triha Et Almentioning

confidence: 99%

Correlation between the Number of MSMEs and the Growth of the Workforce with the Regression Analysis Model

Triha¹,

Shofia²,

Putri³

et al. 2023

jcsitech

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Unemployment at a young age is influenced by the Labor Force Participation Rate ( TPAK ). In addition, the Labor Force Participation Rate is also very influential on the economy in Indonesia. The thing that affects this TPAK is the ability of the region to create or produce jobs. Expansion of employment opportunities is also expected from the government to overcome this low Labor Force Participation Rate. Expansion of employment opportunities can be done by creating/developing programs that can support the hard skills and soft skills of the work force. The government can provide certified skills training that is recognized by companies. The government should encourage more young entrepreneurs to establish MSMEs (Micro, Small and Medium Enterprises) so that new job opportunities are also more open. The Covid-19 pandemic has made MSMEs play an important role in Indonesia's GDP with a contribution that reaches 61% and is able to absorb 97% of the workforce from the total absorption of the national workforce. Specifically for the City of Padang, based on the results of simple linear regression analysis, it was found that there is a strong relationship between the variable number of labor force and the number of MSMEs in Padang City where the conclusion of the regression statistics for multiple R is 0.82 which indicates that the independent variable (number of labor force) has a strong relationship with the dependent variable (number of SMEs). Based on the results of this simple linear regression test, it was found that R Square was worth 0.67. This shows that the resulting regression equation can be said to represent the existing conditions where y = 334333.21 - (0.67 * number of labor force). This can be seen from the R square value which is greater than 0.5 and close to 1

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Section: Hadigufri Triha Et Almentioning

confidence: 99%

Correlation between the Number of MSMEs and the Growth of the Workforce with the Regression Analysis Model

Triha¹,

Shofia²,

Putri³

et al. 2023

jcsitech

View full text Add to dashboard Cite

show abstract

“…Setiap variabel dalam model tersebut mempunyai nilai yang memiliki probabilitas. Metode Monte Carlo mensimulasikan sistem yang ditinjau [13].…”

Section: Pendahuluanunclassified

Akumulasi dan Prediksi Tingkat Penjualan Minuman dengan Menerapkan Metode Monte Carlo

Syaputra¹,

Eirlangga²

2022

jidt

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25 Coffee has increased sales every day. This situation causes service to consumers to be disrupted because raw materials often run out. Some consumers do not get good service and some even wait too long but do not get the desired item. This situation will cause consumers to be reduced because they move to another seller's place. So this research is carried out to predict sales in maintaining the availability of raw materials so that services are guaranteed and improved. The method used in this study is Monte Carlo by processing sales data in 2019, 2020, and 2021. The results of this study are able to predict the number of beverage sales in the following years with an average accuracy rate of 91%, in 2020 , and 89% in 2021. So this prediction becomes a reference material for 25 COFFE parties to make decisions and improve services.

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“…Prediksi tingkat penjualan dengan tingkat akurasi ratarata sangat baik pada tahun berikutnya [12]. Prediksi kedatangan dengan tingkat akurasinya yang tepat [13]. Prediksi penjualan obat mendapatkan tingkat akurasi yang tinggi [14].…”

Section: Pendahuluanunclassified

Model Simulasi untuk Memperkirakan Tingkat Penjualan Garam Menggunakan Metode Monte Carlo

Thoriq¹,

Syaputra²,

Eirlangga³

2022

jidt

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The increasing need for salt in the West Sumatra area is inversely proportional to the raw material for making salt. So the stock of salt for consumption becomes less. This causes the purchasing power to be cut off for the needs of regional consumers. Based on these problems, a research was conducted by conducting simulations to predict the amount of salt sales in controlling stock. This study aims to predict sales in maintaining service to consumer demand. The method that can be used in making predictions is the Monte Carlo Method by processing Salt sales data in 2019, 2020, and 2021 at PT. Prosperous Grace. The results of the study are able to predict sales of salt in the form of kilograms (kg) in the future. The average accuracy rate in 2020 is 88% and in 2021 is 91%. So that this research can be a reference in decision making by PT. Kurnia Sejahtera to improve services.

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Prediction of the Number of Arrivals of Training Students With the Monte Carlo Method

Cited by 7 publications

References 4 publications

Correlation between the Number of MSMEs and the Growth of the Workforce with the Regression Analysis Model

Correlation between the Number of MSMEs and the Growth of the Workforce with the Regression Analysis Model

Akumulasi dan Prediksi Tingkat Penjualan Minuman dengan Menerapkan Metode Monte Carlo

Model Simulasi untuk Memperkirakan Tingkat Penjualan Garam Menggunakan Metode Monte Carlo

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