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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 7 Documents
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Search results for , issue "Vol. 3, No. 4 (December 2021)" : 7 Documents clear
Identifikasi Pola Penjualan Kategori Barang dalam Menjaga Stabilitas Stok Barang Menggunakan Algoritma Fp-Growth Nelisa; Halim, Syahid Hakam Abdul
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 4 (December 2021)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (311.451 KB) | DOI: 10.37034/infeb.v3i4.94

Abstract

Dalam mengelola sekumpulan Database yang sangat besar dibutuhkan suatu metode atau teknik yang dapat mengubah segunung data menjadi suatu informasi, salah satu data yang bisa diolah adalah data penjualan. Mini Market Ulfamart merupakan salah satu Mini Market yang berperan memenuhi kebutuhan konsumen dengan baik sehinga perlu metode yang baik untuk mengelola barang agar dapat memnuhi kebutuhan konsumen, data yang dapat diolah salah satunya adalah data transaksi penjualan pada Mini Market Ulfamart. Dimana nantinya akan menjadi sebuah informasi penting untuk meningkatkan penjualan. Penelitian ini bertujuan untuk menemukan pola pembelian barang untuk memprediksi tingkat ketersediaan stock barang sehingga dapat meningkatkan penjualan. Data yang diolah pada penelitian ini menggunakan data transaksi penjualan barang yang didapat dari Mini Market Ulfamart. Data transaksi tersebut akan diteliti menggunakan salah satu teknik Data Mining secara assosiasi dengan algoritma Fp-Growth dengan nilai confidence 70% dan minimum support 30%. Sehingga didapatkan pola pembelian produk yang dijadikan informasi untuk memprediksi tingkat ketersedian stock barang. Hasil dari proses pengolahan data penjualan adalah association rule. Association Rule yang didapat berupa hubungan suatu barang yang terjual bersamaan dengan barang lain dalam suatu transaksi yang sama atau lebih dari nilai confidance dan nantinya akan menjadi sebuah pengetahuan bagi pemilik Mini Market. Dari pola tersebut dapat direkomendasikan kepada pemilik Mini Mrket sebagai informasi untuk menyiapkan stock barang untuk meningkatkan hasil penjualan. Penelitian ini sangat tepat digunakan oleh pihak Mini Market agar dapat menyampaikan informasi lebih cepat dan akurat sehingga tingkat penjualan menjadi meningkat dan terkontrol dengan baik.
The Influence of Lifestyle, Religiosity, and Prizes on the Decision of Members to Choose Takop Qoriani, Hersa Farida
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 4 (December 2021)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (244.401 KB) | DOI: 10.37034/infeb.v3i4.95

Abstract

This study aims to examine how much influence lifestyle, religiosity, and prizes for the decision of members of KSU Setia Hati , Buduran Sidoarjo in choosing Takop savings. The formulation of the problem in this study is does lifestyle partially influence the decision of cooperative members to choose Takop KSU Setia Hati Buduran, Sidoarjo?. Is religiosity partially significant to the decision of cooperative members to choose Takop KSU Setia Hati Buduran, Sidoarjo?. Does the prize partially influence the cooperative member's decision to choose Takop KSU Setia Hati Buduran, Sidoarjo?. Does lifestyle, religiosity, and prizes simultaneously have a significant effect on the decision of cooperative members to choose Takop KSU Setia Hati Buduran, Sidoarjo?. This study uses a quantitative approach. Data collection was carried out using questionnaires and documentation. The population of this study is members of the Cooperative savings (Takop) in 2020-2021, totaling 105 members. The sample used is saturated sampling using the entire population. The data analysis used is multiple regression analysis. The results of this study indicate that lifestyle has a positive effect on members' decisions, religiosity has a positive effect on members decisions, and rewards have a positive effect on members decisions. Meanwhile, lifestyle, religiosity, and prizes simultaneously affect the members decision to choose Takop in the Setia Hati Sidoarjo Multi-Business Cooperative (KSU).
Analisis Pembangunan Infrastruktur Jalan terhadap Pertumbuhan Ekonomi UMKM di Bukit Gado-Gado Kota Padang Adif, Riandy Mardhika; Hendri, Rifki; Almizan
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 4 (December 2021)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (343.613 KB) | DOI: 10.37034/infeb.v3i4.96

Abstract

This study aims to determine the analysis of road infrastructure development (X) on the economic growth of MSMEs (Y) in Gado-Gado hill. Infrastructure is the answer to the needs of countries that want to boost economic growth, by helping reduce poverty, improve the quality of life, support the growth of economic centers and increase the mobility of goods and services. Research is a field (Field Research), namely research that takes data directly to the field, this research uses a quantitative approach. The sampling technique was purposive sampling and the number of samples in this study was 51 SMEs. This study uses the Simple Linear Regression model as an analytical tool using the SPSS 21 tool. The results of this study indicate that road Infrastructure Development (X) has a positive and significant effect on MSME economic growth with a tcount value of 6.963> from ttable 1.676 and a significant value resulting in a value of 0.000 <0.05.
Pelayanan Prima pada Nasabah Lansia di Bank 9 Jambi Mursal, M; Sipuldi, S; Fauzi, Muhammad; Alparedi, Topan; Syarif, Defiar
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 4 (December 2021)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (578.433 KB) | DOI: 10.37034/infeb.v3i4.98

Abstract

Excellent service is the main thing that must always innovate in meeting customer needs. In the competitive banking world, direct contact with service is very important because customer satisfaction is a reflection of the quality of service. This study describes excellent service to the elderly who have several obstacles such as hearing loss, low education levels, communication barriers, which must receive special attention in service. The method in this study uses a descriptive qualitative type, then the results of the study show that excellent service has been implemented for the elderly with various strategies that have been implemented such as using regional languages for elderly customers who have problems understanding banking terms in transactions.
Simulasi dalam Menganalisis Tingkat Pendapatan Penjualan Handphone dengan Menggunakan Metode Monte Carlo Fikri Algifari
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 4 (December 2021)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (407.207 KB) | DOI: 10.37034/infeb.v3i4.101

Abstract

Pemenuhan kebutuhan konsumen merupakan tujuan dari setiap usaha. Modal usaha yang dimiliki akan mempengaruhi kesiapan dalam melayani permintaan konsumen. Penelitian ini memiliki tujuan untuk memperkirakan pendapatan penjualan handphone di Atha Cell. Sehingga, memudahkan pihak pimpinan perusahaan untuk memutuskan strategi bisnis dengan cepat dan optimal. Data yang digunakan dalam penelitian ini yaitu data pendapatan 2018 sampai 2020 yang diolah dengan menggunakan metode monte carlo. Perkiraan pendapatan akan dilakukan setiap tahun. Hasil pengujian yang telah dilakukan menggunakan simulasi Monte Carlo dengan tingkat akurasi 97,18% untuk prediksi tahun 2019 dengan pendapatan Rp.77.150.000,-, 94,62% untuk prediksi tahun 2020 dengan pendapatan Rp.83.260.000,-, 95,76% untuk prediksi tahun 2021 dengan pendapatan Rp.90.170.000,-. Dengan tingkat akurasi yang tinggi, penerapan metode monte carlo dianggap dapat melakukan perkiraan pendapatan tiap tahunnya.
Identifikasi Chatbot dalam Meningkatkan Pelayanan Online Menggunakan Metode Natural Language Processing Muliyono
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 4 (December 2021)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (694.814 KB) | DOI: 10.37034/infeb.v3i4.102

Abstract

Chatbot is a software with artificial intelligence that can imitate human conversations through text messages or voice messages. This chatbot can convey information, according to the knowledge that has been given previously. Helping the limitations of the academic section in answering questions posed by students. The method in this study was sourced from a questionnaire distributed to students at the Muhammadiyah University of West Sumatra. Based on the analysis of the questionnaire, there are 40 questions that are often asked by students to the academic section. Then it is processed using Natural Language Processing (NLP). Natural Language Processing is a branch of science from artificial intelligence that is able to study communication between humans and computers through natural language. The processing stage is to identify the intent, process the input and display the results according to the input. The results of the test using a questionnaire addressed to 227 students got a score of 3,55 with a very good predicate. Then do the test using 40 question and answer data. So, obtained 37 appropriate answers and 3 answers that are not in accordance with the percentage of answer accuracy generated from the chatbot is 92.5 percent. The results of this test have been able to respond to the questions asked by students. This chatbot can make it easier for students to get information with a very good level of accuracy
Prediksi Tingkat Kepuasan Pelayanan Online Menggunakan Metode Algoritma C.45 Lestari, Yuni Indah
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 4 (December 2021)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (376.2 KB) | DOI: 10.37034/infeb.v3i4.104

Abstract

Online service is a service that uses the help of the internet. This service can solve various types of business without having to meet directly with employees. This can be done quickly and on time. Especially when we are currently experiencing the Covid-19 pandemic, all existing services are carried out online and this is increasingly being done by many parties, because they can maximize in helping people's affairs online. This service makes it easier for the public to register which will be done online during this pandemic. The data that will be processed in this online service from 2019 to 2020 is about data about people who do not understand online services, negative community responses, positive community expectations. The method used in this study is the method with the C4.5 algorithm where this is one of the algorithms that will be used to determine a classification or group of data and will be predictive. The advantage of this algorithm is that it can produce a decision tree which will make it easier to implement and will have an acceptable level of accuracy. The results of this study are able to predict a value or determine the level of community satisfaction in 2021 appropriately. Therefore, this study can be used as a reference to determine the level of satisfaction at the Padang City Population and Civil Registration Office. The method used in this study is the prediction method using the C4.5 algorithm by using as many as 14 attributes. The data used in this study is sourced from data from online questionnaires and stored in the Disdukcapil database which has as many as 50 community data which have been presented in a CSV file. The analysis in this study uses the help of tools in the form of rapid miner software version 5.3,000. The results of this study are that there are 3 rules from the data processing process using the C4.5 algorithm where the rule is the final result of the decision tree form.

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