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Jurnal Informatika Ekonomi Bisnis

infeb
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Published by Universitas Putra Indonesia YPTK Padang

ISSN : 27148491 EISSN : - DOI : https://doi.org/10.37034/infeb

Core Subject : Economy,

Economics, Econometrics & Finance

Jurnal Informatika Ekonomi Bisnis adalah Jurnal Nasional, yang didedikasikan untuk publikasi hasil penelitian yang berkualitas dalam bidang Informatika Ekonomi dan Bisnis, namun tak terbatas secara implisit. Jurnal Informatika Ekonomi Bisnis menerbitkan artikel secara berkala 4 (empat) kali setahun yaitu pada bulan Maret, Juni, September, dan Desember. Semua publikasi di jurnal ini bersifat terbuka yang memungkinkan artikel tersedia secara bebas online tanpa berlangganan. Jurnal Informatika Ekonomi Bisnis sebagai media kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis dalam bidang informatika ekonomi dan bisnis. Sebagai bagian dari semangat menyebarluaskan ilmu pengetahuan hasil dari penelitian dan pemikiran untuk pengabdian pada masyarakat luas, serta sebagai sumber referensi akademisi dalam bidang informatika ekonomi dan bisnis.

Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)

Articles 283 Documents

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Prediksi Tingkat Kepuasan Pelayanan Online Menggunakan Metode Algoritma C.45 Yuni Indah Lestari
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 4 (2021)
Publisher : SAFE-Network

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.

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

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.

Identifikasi Faktor Kegagalan Hasil Produksi Busa dengan Sistem Pakar Metode Dempster Shafer dan Certainty Factor Dhyana Lowrenza
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 1 (2022)
Publisher : SAFE-Network

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 Muhammad Luthfi Syam; Erdisna
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 1 (2022)
Publisher : SAFE-Network

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 Didik Gunawan; Weni Astika
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 1 (2022)
Publisher : SAFE-Network

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 Randi Maiyuriska
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 1 (2022)
Publisher : SAFE-Network

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 Oki Jaya Varera
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 1 (2022)
Publisher : SAFE-Network

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.

Tingkat Peramalan Penjualan Produk Bordir dan Sulaman Menggunakan Metode Trend Moment Fellanie Mayesa Putri
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 2 (2022)
Publisher : SAFE-Network

Forecasting is data in the past that is used for the purposes of estimating future data. Selling is a managerial social process by which individuals and groups obtain what they need and want, create, offer, and exchange products of value with others. Yenie Embroidery and Embroidery Shop is a shop that is engaged in craftsmanship and sales of embroidery such as embroidery and embroidery, the results of craftsmen and embroidery located in Bukittingi. Currently Yenie Embroidery and Embroidery Stores are experiencing an increase both in terms of consumers and in terms of the type of merchandise. With the forecast can help to predict future sales and can minimize losses to a product. In this study, a forecast is carried out for the next month and to find out the success rate of the trend moment forecasting method for sales from Yenie Embroidery and Embroidery Shops through sales data. The method used in this research is the Trend Moment Method. The Trend Moment method is a method that uses certain statistical and mathematical methods to determine the function of a straight line as a substitute for a broken line formed by historical company data. The results of the study can forecast sales of embroidery and embroidery products properly and optimally. So that the store management can predict the inventory of goods for the future optimally. This action can improve service to the availability of goods very well

Analisis Tata Kelola E-Government Pelayanan Administrasi Menggunakan Framawork COBIT 5 Ilham Wahyuni
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 2 (2022)
Publisher : SAFE-Network

Information Technology (IT) and Information Systems have a very important role for the Department of Population and Civil Registration of Tanah Datar Regency (DUKCAPIL). DUKCAPIL is a government service in population administration matters. To find out that DUKCAPIL's performance is in accordance with the plan, it is necessary to analyze E-Geverment governance. This study aims to determine the level of capability (capability level) and system improvement by monitoring, reviewing and measuring in the application of IT at DUKCAPIL Tanah Datar. IT governance analysis uses the COBIT 5 framework with 5 domains, namely EDM (Evaluating, Direction, and Monitoring), APO (Align, Plan, Organise), BAI (Build, Acquire, and Implement), DSS (Deliver, Service and Support) , and MEA. The method of data collection in this study was a literature study (review of IT application and literature study) question and answer in interviews and filling out questionnaires, then an analysis was carried out to determine the level of ability and gaps in the application of IT. The results of the EDM domain at level 2, APO at level 1, BAI at level 1, DSS at level 1, and MEA (Monitoring, Evaluate, and Asses) at level 2. The level of capability obtained from the analysis results is the capability level of DUKCAPIL Tanah Datar when viewed from the EDM04 Ensure Resource Optimization process and MEA01 Monitor, Evaluate and Assess Performance and Conformance are at level 2 Managed Process. This shows that the process has been recorded, measured and in accordance with the objectives. The APO07 Manage Human Resources, BAI09 Manage Assets and DSS01 Manage Operations processes are at level 1 Performed Process, which means that the process has been applied to DUKCAPIL Tanah Datar.

Prediksi Tingkat Kepuasan Pelayanan Online Menggunakan Metode Algoritma C4.5 Yuni Indah
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 2 (2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v4i2.99

Online services are services that are carried out with the help of internet technology. This service allows various types of business to be completed easily without having to meet face-to-face with officers. Everything can run quickly and in real time. Especially during the Covid-19 pandemic as it is affecting the world, including Indonesia. Services that are carried out online are increasingly being carried out. Because it can help people to register online, so there is no need to meet face to face. make it easier for the public to register for the upcoming Adminduk and find out the increase or decrease in face-to-face services due to the pandemic. The data that is 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 is the C4.5 algorithm, which is one of the algorithms used to perform classification or segmentation or grouping and is predictive in nature. The advantages of this method are that it can produce a decision tree that is easy to interpret, has an acceptable level of accuracy, is efficient in handling type attributes. discrete and can handle both discrete and numeric type attributes. The results of this study can predict the value or level of community satisfaction in 2021 quickly and accurately. Therefore, this study can be used as a reference to determine the level of satisfaction in the population and civil registration office of Padang City. The method used is Prediction with C4.5 Algorithm using 14 attributes. The data used in this study is the data from the questionnaire research through the Disdukcapil database of 50 population data which has been presented in a csv file. The analysis in this study uses software tools Rapid Miner version 5.3000. The result of this research is to get 3 rules. So that this research can be used as a reference in predicting the level of online service satisfaction very well

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Prof. Dr. H. Jufriadif Na`am, S.Kom, M.Kom

Contact Email jufriadifnaam@upiyptk.ac.id

Phone +6287895670026

Journal Mail Official infeb@upiyptk.ac.id

Editorial Address Kampus Universitas Putra Indonesia YPTK Padang Jl. Raya Lubuk Begalung Padang, Sumatera Barat - 25221

Location Kota padang, Sumatera barat INDONESIA

Abstract

Abstract

Abstract

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Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Prof. Dr. H. Jufriadif Na`am, S.Kom, M.Kom

Contact Email
jufriadifnaam@upiyptk.ac.id

Phone
+6287895670026

Journal Mail Official
infeb@upiyptk.ac.id

Editorial Address
Kampus Universitas Putra Indonesia YPTK Padang Jl. Raya Lubuk Begalung Padang, Sumatera Barat - 25221

Location
Kota padang,

Sumatera barat

INDONESIA