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All Journal Prosiding KOMMIT Jurnal Sistim Informasi dan Teknologi Jurnal Informasi dan Teknologi Sainstek : Jurnal Sains dan Teknologi Jurnal Informatika Ekonomi Bisnis
Julius Santony
Computer Science Faculty, Putra Indonesia University, Padang, 25221, Indonesia
Computer Science & IT Economics, Econometrics & Finance Education Other

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Simulasi Penjadwalan Proyek Pembangunan Jembatan Gantung dengan Metode Monte Carlo Santony, Julius
Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v2i1.34

Abstract

The scheduling of a suspension bridge construction project is very influential in determining the success of construction which has risks and uncertainties in the construction of a suspension bridge. So we need a suspension bridge project scheduling to predict the work schedule for each suspension bridge construction activity. To overcome all the risks and uncertainties in the construction of a suspension bridge, a Monte Carlo method simulation is needed to process 10 activities in a suspension bridge construction project. The accuracy rate using Monte Carlo simulation is 93.99% for predictions for 2017, 2018 for 98.77% and 86.75% for 2019. So this Monte Carlo simulation can be used in predicting the scheduling of a suspension bridge construction project.
Prediksi Pendapatan Terbesar pada Penjualan Produk Cat dengan Menggunakan Metode Monte Carlo Geni, Bias Yulisa; Santony, Julius; Sumijan
Jurnal Informatika Ekonomi Bisnis Vol. 1, No. 4 (December 2019)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (272.315 KB) | DOI: 10.37034/infeb.v1i4.5

Abstract

Completing cat products in meeting consumer demand is something that must be addressed. Sales are very important for sales. The amount of demand for goods increases, it will get a large income. The purpose of this study is to predict the sales revenue of paint products at UD. Masdi Related, makes it easy for the leadership of the company to find out the amount of money obtained quickly. This research also makes it easy for companies to take business strategies quickly and optimally. The data used in this research is the data of paint product sales for January 2016 to December 2018 which is processed using the Monte carlo method. Income prediction will be done every year. In addition to predicting revenue, the sales data is also used to predict product demand every year. To predict the sales of paint products using the Monte Carlo method. The results of this study can predict sales revenue of paint products very well. Based on the results of tests conducted on the system used to predict sales revenue of cat products with an average rating of 89%. With a fairly high degree of accuracy, the application of the Monte Carlo method can be estimated to make an estimate of the income and demand for each paint product every year. Necessary, will facilitate the leadership to choose the right business strategy to increase sales of cat product sales.
Prediksi Optimal dalam Produksi Bata Merah Menggunakan Metode Monte Carlo Zalmadani, Hendro; Santony, Julius; Yunus, Yuhandri
Jurnal Informatika Ekonomi Bisnis Vol. 2, No. 1 (March 2020)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (353.701 KB) | DOI: 10.37034/infeb.v2i1.11

Abstract

The availability of red bricks on the market is a problem that must be addressed. Because the availability of red brick affects sales revenue. The purpose of this research in the Small and Medium Micro Business of the Red Brick City of Pariaman is to predict the production of red bricks to find out income and find out the next production. So this research can make it easier for business owners to find out how much it will cost for the next production cost. The data used in this study are production data from 2017 to 2019 which are processed using the Monte Carlo method. Based on the results of production prediction testing that has been done, it is found that the average accuracy is 90%. With the results of a high degree of accuracy, the application of the monte carlo method is considered to be able to predict production annually. Making it easier for business owners to determine the costs incurred in the next production process.
Co-Authors Achmad Noerkhaerin Putra Chairul Imam, Chairul Delmayanti, Vera Devi Yuliana, Devi Fitra, Ilham Geni, Bias Yulisa Gunadi Widi Nurcahyo Hartomi, Zupri Henra Manurung, Kiki Hariani Maulia Rahman Na’am, Jufriadi Na’am, Jufriadif Nurdini, Siti Sumijan Sumijan Sumijan Syahrin, Elvin Wahyudi Wahyudi Yuhandri Yuhandri, Yuhandri Yunus, Yuhandri Yusmaity Zalmadani, Hendro