Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Informatika Ekonomi Bisnis
Zulfitri Yani
Universitas Putra Indonesia YPTK Padang
Computer Science & IT Economics, Econometrics & Finance

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Simulasi Algoritma Monte Carlo dalam Memprediksi Pendapatan Penjualan Produk Kalsium Tiens Syariah Zulfitri Yani; Sumijan
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 1 (March 2021)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (411.884 KB) | DOI: 10.37034/infeb.v3i1.58

Abstract

In meeting consumer needs, the availability of calcium products is a problem that needs attention. Items that are often sold will be the largest stock, so that the demand for finished goods is met and income will also increase. This study aims to predict the level of sales revenue for calcium products at stokies tiens 872, in determining which products will be provided for the following year. The data to be used is the sales data for calcium products from 2018 to 2019. Data processing is carried out using the Monte Carlo algorithm, then the data is processed and generated using random numbers taken randomly, after which it is converted or changed in the form of distribution with use simulation techniques to get the results. The results obtained in predicting the income level of sales of calcium products, by making comparisons with the sales data that were sold, namely Nutrient High Calcum Powder that existed in 2018, with simulation results in 2018 with a data accuracy rate of 91%, with the number of calcium products. as many as 1367 products. Then the data in 2019 with simulation results in 2019 with a data accuracy rate of 93% with the number of calcium products as many as 1667 products. With the resulting level of accuracy in the study, the monte carlo simulation can help the stockies predict sales revenue based on processed data, so that this study is able to predict the level of income for the following year.
Implementation Of Teak Furniture Sales Information System In Mass Furniture Shop Zulfitri Yani; Nurmaliana Pohan; Juna Eska
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol 5 No 2 (2022): Jurnal Teknologi dan Open Source, December 2022
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v5i2.2692

Abstract

The rapid development and growth of information technology has a positive impact on agencies engaged in industry, sales, and services. Currently, sales are no longer carried out by sellers and buyers who meet face-to-face at the point of sale. Sales can already be done without having to go to the point of sale, and the seller and the buyer do not have to meet in person. Sales systems such as utilizing internet services for buying and selling online This research was conducted at the Mass Furniture Store using a field research methodology and library research. The Mass Furniture Shop is a shop that sells teak furniture. In selling furniture, it turns out that the shop has problems providing information to the public about the activities that exist in the store. Data processing is still done manually, or, in other words, there is no special program designed to process sales data, so the preparation of sales reports often experiences delays. The Mass Furniture Store's website design for socialization media, ordering media, and online sales media is built with the PHP programming language and MySQL database, and it is expected to optimize product sales, facilitate sales transactions, and make data processing faster, more precise, and more efficient. With the design of the website as a medium for socializing, selling, and ordering goods online, it can provide convenience for users, both the general public and customers, to get to know the Mass Furniture Store more easily, closely, and without being limited by space or time.
Co-Authors Juna Eska Pohan, Nurmaliana Sumijan