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INDONESIA
Jurnal Informatika Ekonomi Bisnis
Published by Asia Pacific Network for Sustainable Agriculture, Food and Energy
ISSN : 27148491     EISSN : 27148491     DOI : https://doi.org/10.37034/infeb
Core Subject : Economy,
Economics, Econometrics & Finance
The Jurnal Informatika Ekonomi Bisnis (INFEB) is an interdisciplinary journal. It publishes scientific papers describing original research work or novel product/process development. The objectives are to promote an exchange of information and knowledge in research work, and new inventions/developments on the use of Informatics in Economics and Business. This journal is useful to researchers, engineers, scientists, teachers, managers, and students who are interested in keeping a track of original research and development work being carried out in the broad area of informatics in economics and business through a scholarly publication.
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekonomi, Ekonometrika dan Keuangan (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol. 4, No. 1 (March 2022)" : 5 Documents clear
Identifikasi Faktor Kegagalan Hasil Produksi Busa dengan Sistem Pakar Metode Dempster Shafer dan Certainty Factor Lowrenza, Dhyana
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 1 (March 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (610.151 KB) | DOI: 10.37034/infeb.v4i1.105

Abstract

Foam is a derivative product made from PPG (Propylene Glycol) or Polyether Polyol which is then mixed with additives and catalysts. So it will produce foam that is used in the springbed and mattress industry. The foam is produced first by using a mixer machine. After the mixer, dispensing will be carried out (pouring the material into the mold) then the foam will be blown off and the foam production process is complete. Failure to produce foam often results in losses in terms of raw materials, costs, and time. To avoid the failure of the same foam production, a research was carried out by designing an expert system application that aims to be able to identify the factors causing the failure of foam production and to reduce the risk of failure of foam production. The data needed in this study were obtained from PT Bungo Permai Lestari. The data is then processed using the Dempster Shafer method and the Certainty Factor method. The results of this study are to provide output in the form of certainty values ​​from failure of foam production, factors causing failure of foam production, as well as solutions to failure of foam production obtained through consultation using the Dempster Shafer method and the Certainty Factor method by selecting symptoms that match the results. foam production. So this research can help PT Bungo Permai Lestari to find out the causes and solutions to the failure of foam production and can reduce the risk of failure during foam production.
Sistem Informasi Stok Barang Menggunakan QR-Code Berbasis Android Syam, Muhammad Luthfi; Erdisna
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 1 (March 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (514.754 KB) | DOI: 10.37034/infeb.v4i1.108

Abstract

Inventory of goods is a number of finished goods, raw materials, materials in process owned by a trading company for the purpose of selling or further processing. Inventory must be well controlled so that the availability of goods is always met. This activity is very supportive in improving service to buyers. This study aims to control the supply of goods that can always be done by mobile. The system used is based on Android with QR-Code support. The system used is an Android cellphone, so that data and information in the warehouse can be accessed and controlled anywhere and anytime. The data processed is computer equipment at the Ardha Computer Store in Padang. The results of this system can control inventory very well, so that controlling goods becomes easier and faster. So that this system can be used and is very supportive in controlling the stock of goods.
The Autoregressive Integrated Moving Average (ARIMA) Model for Predicting Jakarta Composite Index Gunawan, Didik; Astika, Weni
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 1 (March 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (300.144 KB) | DOI: 10.37034/infeb.v4i1.114

Abstract

The purpose of this study is to test the ability of the Autoregressive Integrated Moving Average (ARIMA) model to predict the value of the Jakarta Composite Index (JKSE) which fluctuates greatly due to the Covid-19 pandemic. The population in this study is JKSE daily closing price data for the period January 2020 to April 2021, so the sample in this study is 324 time series data. The results showed that the best ARIMA model for predicting the value of the Jakarta Composite Index was ARIMA (3,1,9). ARIMA (3,1,9) can predict the JKSE value very well because the value of the forecasting results is not much different from the actual value. This is also evidenced by the results of the accuracy test using MAPE which has a result of 1,729 which means the accuracy of forecasting is 98,27%.
Penerapan Jaringan Syaraf Tiruan dengan Algoritma Backpropagation dalam Memprediksi Hasil Panen Gabah Padi Maiyuriska, Randi
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 1 (March 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (388.069 KB) | DOI: 10.37034/infeb.v4i1.115

Abstract

Hasil panen gabah padi disetiap daerah tiap tahunnya selalu beruba-ubah, termasuk di Kabupaten Peisisr Selatan. Hal ini disebabkan oleh beberapa faktor seperti musim kemarau yang panjang, serangan hama dan faktor lainnya yang dapat menghambat pertumbuhan padi bahkan dapat menyebabkan gagal panen yang dapat merugikan para petani. Penelitian ini bertujuan untuk membuat memprediksi untuk mengetahui hasil panen gabah padi di Kabupaten Pesisir Selatan dengan menggunakan metode Jaringan Syaraf Tiruan dengan algoritma Backpropagation. Jaringan Syaraf Tiruan merupakan salah satu kecerdasan buatan yang menggunakan teknologi komputer yang disebut juga dengan Artificial Intelligent. Jaringan Saraf Tiruan Backpropagation merupakan sebuah neural network berlapis banyak yang terdiri dari layer input, layer hiden dan layer output. Selanjutnya data diolah dengan menggunakan bantuan software Matlab. Data yang diolah dalam penelitian ini adalah data hasil panen gabah padi dari tahun 2015 sampai 2020 yang diperoleh dari Dinas Pertanian Kabupaten Pesisir Selatan. Dari peneliatan yang dilakuakn dilakuakn dengan menggunakan beberapa model arsitektur maka diperoleh satu arsitektur yang mempunyai tingkat akurasi mencapai 92.9% atau tingkat error 7.1% dengan MSE = 0.00094783.
Optimalisasi Prediksi Tingkat Pendapatan Desa Berdasarkan Jenis Usaha Menggunakan Metode Monte Carlo Varera, Oki Jaya
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 1 (March 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (561.417 KB) | DOI: 10.37034/infeb.v4i1.120

Abstract

Village-Owned Enterprises or called BUMDes are basically a pillar of economic activity in the village that functions as social as well as commercial institutions. BUMDes Rawa Bento is a business entity that is not only engaged in tourism and mountain equipment rental but also provides tour guides, city tours and family gatherings. In achieving optimal results for the use of the budget, a strategy is needed to predict the use of the budget in the following year which requires data on the previous use as material for making decisions. This study aims to predict annual income. So that BUMDes can determine strategies quickly and optimally. The data processed is income data from 2019 to 2021 at the BUMDes Rawa Bento. From the problems that have been explained that village-owned enterprises need a system that is able to predict the use of future budgets, making it easier to make budgets for the future. So this study uses the Monte Carlo method to solve the problem. The Monte Carlo method is a numerical method described as a statistical simulation method. The Monte Carlo method is a method used to assist companies in solving problems, where problems can be solved with uncertainty. The data used as samples were taken randomly. The test results use the Monte Carlo method with an average income of IDR 8,344,028, an average simulation of IDR 8,914,583 and the average percentage value for predictions for 2020 and 2021 is 97%. The Monte Carlo method can accurately predict annual income. Keywords: BUMDes, Revenue, Prediction, Monte Carlo, Simulation.

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