Simulasi Pengadaan Barang Menggunakan Metode Monte Carlo

Manurung, Kiki Hariani; Santony, Julius

doi:10.37034/jsisfotek.v1i3.2

Cited by 8 publications

(8 citation statements)

References 11 publications

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“…Membuat serangkaian simulasi menggunakan bilangan acak yang telah di dapat sebelumnya serta telah di hitung distribusi probabilitas dan ditribusi komulatifnya [19], [20].…”

Section: Membangkitkan Bilangan Acakunclassified

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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“…Membuat serangkaian simulasi menggunakan bilangan acak yang telah di dapat sebelumnya serta telah di hitung distribusi probabilitas dan ditribusi komulatifnya [19], [20].…”

Section: Membangkitkan Bilangan Acakunclassified

Akumulasi dan Prediksi Tingkat Penjualan Minuman dengan Menerapkan Metode Monte Carlo

Syaputra¹,

Eirlangga²

2022

jidt

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“…Hasil (simulasi) metode Monte Carlo merupakan hasil dari distribusi probabilitas sistem secara keseluruhan. Simulasi Monte Carlo mampu mensimulasikan proses aktual dan prilaku sistem sehingga dapat menghilangkan ketidakpastian dlam pemodelan reabilitas [16].…”

Section: Tinjauan Pustakaunclassified

Sistem Prediksi Penjualan Frozen Food dengan Metode Monte Carlo (Studi Kasus: Supermama Frozen Food)

Amalia

Yunhasnawa

Rahmatanti

2022

JBI

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Abstract. Frozen Food Sales Prediction System Case Study of Supermama Frozen Food Using the Monte Carlo Method. Frozen processed food is increasingly popular, so frozen food stores are getting easy to find. Supermama Frozen Food is a store that sells a variety of frozen foods. Not all frozen food stocks can get sold out before their expiration dates. This causes the store's profits to decrease. Therefore, a frozen food sales prediction system was necessarily made to help the store estimate its stock to minimise store losses. The research method used in predicting sales was the Monte Carlo method. Testing methods used were accuracy and MAPE. The test results of using accuracy were 89.66%, and MAPE error accuracy test showed 12.6%. Based on the results, it is concluded that the Monte Carlo method can predict frozen food sales.Keywords: forecasting, frozen food, Monte Carlo, sales prediction Abstrak. Makanan yang diolah dengan cara dibekukan semakin digemari masyarakat sehingga toko makanan beku menjadi mudah ditemui. Supermama Frozen Food merupakan salah satu toko yang menjual aneka makanan beku. Tidak semua stok makanan beku terjual habis hingga masa konsumsi berakhir. Hal tersebut membuat keuntungan toko menurun. Oleh karena itu di buatlah sistem prediksi penjualan makanan beku yang dapat mengestimasi stok sehingga meminimalisir kerugian toko. Metode yang digunakan dalam memprediksi penjualan yaitu metode Monte Carlo. Pengujian metode yang digunakan yaitu akurasi dan MAPE. Hasil pengujian menggunakan akurasi ialah 89.66% dan pengujian akurasi error MAPE menghasilkan nilai 12.6%. Berdasar hasil pengujian metode tersebu, metode Monte Carlo disimpulkan dapat digunakan dalam prediksi penjualan frozen food.Kata Kunci: forecasting, frozen food, Monte Carlo, prediksi penjualan.

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“…Simulasin Monte Carlo dirtikan sebagai metode yang sangat praktis dalam pengolahan data yang banyak digunakan dalam memecahkan masalah yang berkaitan dengan ketidakpastian [9]. Metode Monte Carlo merupakan perhitungan numerik yang mengandung integral multidimensi yang digunakan dalam komputasi keuangan [10].…”

Section: Pendahuluanunclassified

Prediksi Tingkat Kunjungan Pasien dengan Menggunakan Metode Monte Carlo

Syaputra¹,

Eirlangga²

2022

jidt

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The increase in the number of patient visits that often occur at community health centers / puskesmas has caused some activities in health services to be slightly hampered, disturbed and less than optimal, resulting in some patients not getting comprehensive services and some even waiting too long in queues. The purpose of this study was to provide information to the health center about the prediction of an increase in the number of patient visits that might occur in the future. The data used in this study were patient visit data at the IX Koto Sungai Lasi health center from 2019, 2020, and 2021 to extract the data that was obtained. The method used in this study was the Monte Carlo method. The results of the study can predict patient visit rates in the following years with an average accuracy rate of 91%, in 2020, and 85% in 2021, the results of these predictions can be a reference for the Puskesmas to take action and policies to improve quality of service at the Puskesmas.

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Simulasi Pengadaan Barang Menggunakan Metode Monte Carlo

Cited by 8 publications

References 11 publications

Akumulasi dan Prediksi Tingkat Penjualan Minuman dengan Menerapkan Metode Monte Carlo

Akumulasi dan Prediksi Tingkat Penjualan Minuman dengan Menerapkan Metode Monte Carlo

Sistem Prediksi Penjualan Frozen Food dengan Metode Monte Carlo (Studi Kasus: Supermama Frozen Food)

Prediksi Tingkat Kunjungan Pasien dengan Menggunakan Metode Monte Carlo

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