cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Arrianda Mardhika Adif
Contact Email
jmraahome@gmail.com
Phone
+6287895670026
Journal Mail Official
infeb03@gmail.com
Editorial Address
Kampus UNAND Limau Manis Padang
Location
Kota padang,
Sumatera barat
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
 1 
Search results for , issue "Vol. 2, No. 2 (June 2020)" : 5 Documents clear
Optimalisasi Penggunaan Lahan Perkebunan Kelapa Hibrida Menggunakan K-Means Clustering Andema, Henky; Defit, Sarjon; Yunus, Yuhandri
Jurnal Informatika Ekonomi Bisnis Vol. 2, No. 2 (June 2020)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (560.81 KB) | DOI: 10.37034/infeb.v2i2.23

Abstract

Plantations are the main source of income for farmers in Indragiri Hilir Regency. This plantation is the plantation sector most widely cultivated by farmers is a coconut plantation. The best grouping of coconut cultivation areas is important in developing farmers' income. This study aims to help the Plantation Office in the process of making the best decision areas for planting coconut, especially hybrid coconut. The data used in this study is the data of hybrid coconut plantations in 2018. Data processing in this study uses the K-Means Clustering method with the number of 3 Clusters namely Cluster 0 (C0) Less Potential, Cluster 1 (C1) Enough Potential, Cluster 2 (C2) Very Potential for planting hybrid coconuts. The results of the clustering process with 2 iterations stated that for Cluster 0 there were 7 village data, for Cluster 1 there were 1 village data, and for Cluster 2 there were 2 village data.
Sistem Informasi Inventory dengan Metode Economy Order Quantity dan Reorder Point pada Persediaan Barang Dagang Sylvana, Febria; Marfalino, Hari
Jurnal Informatika Ekonomi Bisnis Vol. 2, No. 2 (June 2020)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (731.275 KB) | DOI: 10.37034/infeb.v2i2.35

Abstract

CV. Muaro Radio is a trading company that meets the needs of the community for the needs of electronic goods. All traded goods are imported from distributors in the form of not built up. So it takes time to assemble (production) before being marketed. This process will hamper sales if the goods are not available. So, this research helps companies in maintaining the stability of the availability of goods in order to increase sales. The method used is Economy Order Quantity and Reorder Points. The data that is processed is inventory data and the sale of goods every day. The results of this study can maintain the supply of goods very well in managing stock of goods. So this research is very helpful for CV. Muaro Radio in increasing the company's revenue.
Sistem Pemasaran, Transaksi dan Persediaan Barang dengan Komputerisasi Berbasis Web Handayani, Fanni
Jurnal Informatika Ekonomi Bisnis Vol. 2, No. 2 (June 2020)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (731.275 KB) | DOI: 10.37034/infeb.v2i2.38

Abstract

Azwa Perfume is a goods trading business. Goods that are traded are various types of perfume. At this time Azwa Perfume's trading income is difficult to grow with the lack of increasing variety of buyers. So this research was carried out to build a system that can introduce types of perfume globally and real time data processing. The method used is to build an online system by applying Economic Order Quantity (EOQ) and Reorder Point (RP) to maintain supply stability. The results of this study can further introduce the types of perfume online and buyers can place orders online. The inventory can be controlled at any time so that every buyer who needs a type of perfume can be served quickly and precisely. So this research really helps in marketing, sales transactions and controlling inventory very well.
Pemetaan Wilayah Potensial Terhadap Penjualan Sepeda Motor Honda Menggunakan K-Means Clustering Zulrahmadi
Jurnal Informatika Ekonomi Bisnis Vol. 2, No. 2 (June 2020)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (544.445 KB) | DOI: 10.37034/infeb.v2i2.41

Abstract

Indragiri Hilir regency consists of land and water which are divided into 20 districts, 39 sub-districts and 197 villages. Looking at the geographical condition of Indragiri Hilir Regency, motorcycle sales companies need to know the areas that have potential for motorcycle sales. Grouping potential areas is important in increasing sales profit for the company. This study aims to help PT. Capella Dinamik Nusantara in making the decision to increase sales to be more significant, promotion and marketing techniques were more targeted towards Honda motorcycle sales in the mapped areas. The data used in this study are Honda motorcycle sales data from 2017 to 2019. Data processing in this study uses the K-Means Clustering method with 3 clusters, namely Cluster 0 (C0) Less Potential, Cluster 1 (C1) Enough Potential, Cluster 2 (C2) Has the potential to sell Honda motorcycles. The result of the grouping process with 2 iterations states that for Cluster 0 there are 5 regions, for Cluster 1 there are 3 regions, and for Cluster 2 there are 2 regions.
Akurasi dalam Memprediksi Penetapan Besaran Anggaran Proposal Pendapatan dan Belanja Universitas Menggunakan Metode Monte Carlo Turnandes, Yogo
Jurnal Informatika Ekonomi Bisnis Vol. 2, No. 2 (June 2020)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (309.335 KB) | DOI: 10.37034/infeb.v2i2.42

Abstract

The Institute for Research and Community Service at the University of Lancang Kuning has the mandate in research and service activities which are the two dharmas of the Tri Dharma of Higher Education. The purpose of this study is to predict the determination of the budget amount for the University Income and Expenditure Budget (APBU) proposal approved at LPPM Unilak for the following year. Thus, it will make it easier for the LPPM leadership to make decisions on the acceptance of APBU proposals that are approved quickly and optimally. The data used in this research is APBU research and service proposal data approved in 2018 to 2020 which is processed using the monte carlo method. The APBU proposal budget prediction will be carried out every year. Based on the results of tests that have been carried out with the monte carlo method, it is found that the system used to predict the amount of APBU proposal budget approved in 2019 with an average accuracy of 84% and in 2020 with an average accuracy of 73%. Then with a fairly high level of accuracy, the application of the Monte Carlo method is considered to be able to predict the amount of the APBU proposal budget that is approved by each faculty each year.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2020 2020


Reset
Filter By Issues
All Issue Vol. 7, No. 4 (December 2025): Accepted Vol. 7, No. 3 (September 2025): Accepted Vol. 7, No. 3 (September 2025) Vol. 7, No. 2 (June 2025) Vol. 7, No. 1 (March 2025) Vol. 6, No. 4 (December 2024) Vol. 6, No. 3 (September 2024) Vol. 6, No. 2 (June 2024) Vol. 6, No. 1 (March 2024) Vol. 5, No. 4 (December 2023) Vol. 5, No. 3 (September 2023) Vol. 5, No. 2 (June 2023) Vol. 5, No. 1 (March 2023) Vol. 4, No. 4 (December 2022) Vol. 4, No. 3 (September 2022) Vol. 4, No. 2 (June 2022) Vol. 4, No. 1 (March 2022) Vol. 3, No. 4 (December 2021) Vol. 3, No. 3 (September 2021) Vol. 3, No. 2 (June 2021) Vol. 3, No. 1 (March 2021) Vol. 2, No. 4 (December 2020) Vol. 2, No. 3 (September 2020) Vol. 2, No. 2 (June 2020) Vol. 2, No. 1 (March 2020) Vol. 1, No. 4 (December 2019) More Issue