Jurnal Informatika Ekonomi Bisnis
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.
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591 Documents
<![CDATA[Pelayanan Prima pada Nasabah Lansia di Bank 9 Jambi ]]>
<![CDATA[Mursal, M]]>;
<![CDATA[Sipuldi, S]]>;
<![CDATA[Fauzi, Muhammad]]>;
<![CDATA[Alparedi, Topan]]>;
<![CDATA[Syarif, Defiar]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 4 (December 2021) ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/infeb.v3i4.98
<![CDATA[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.]]>
<![CDATA[Prediksi Tingkat Kepuasan Pelayanan Online Menggunakan Metode Algoritma C4.5 ]]>
<![CDATA[Indah, Yuni]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 2 (June 2022) ]]>
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DOI: 10.37034/infeb.v4i2.99
<![CDATA[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]]>
<![CDATA[Simulasi dalam Menganalisis Tingkat Pendapatan Penjualan Handphone dengan Menggunakan Metode Monte Carlo ]]>
<![CDATA[Fikri Algifari]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 4 (December 2021) ]]>
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DOI: 10.37034/infeb.v3i4.101
<![CDATA[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.]]>
<![CDATA[Identifikasi Chatbot dalam Meningkatkan Pelayanan Online Menggunakan Metode Natural Language Processing ]]>
<![CDATA[Muliyono]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 4 (December 2021) ]]>
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DOI: 10.37034/infeb.v3i4.102
<![CDATA[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]]>
<![CDATA[Prediksi Tingkat Kepuasan Pelayanan Online Menggunakan Metode Algoritma C.45 ]]>
<![CDATA[Lestari, Yuni Indah]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 4 (December 2021) ]]>
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DOI: 10.37034/infeb.v3i4.104
<![CDATA[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.]]>
<![CDATA[Identifikasi Faktor Kegagalan Hasil Produksi Busa dengan Sistem Pakar Metode Dempster Shafer dan Certainty Factor ]]>
<![CDATA[Lowrenza, Dhyana]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 1 (March 2022) ]]>
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DOI: 10.37034/infeb.v4i1.105
<![CDATA[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.]]>
<![CDATA[Sistem Informasi Stok Barang Menggunakan QR-Code Berbasis Android ]]>
<![CDATA[Syam, Muhammad Luthfi]]>;
<![CDATA[Erdisna]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 1 (March 2022) ]]>
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DOI: 10.37034/infeb.v4i1.108
<![CDATA[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.]]>
<![CDATA[The Autoregressive Integrated Moving Average (ARIMA) Model for Predicting Jakarta Composite Index ]]>
<![CDATA[Gunawan, Didik]]>;
<![CDATA[Astika, Weni]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 1 (March 2022) ]]>
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DOI: 10.37034/infeb.v4i1.114
<![CDATA[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%.]]>
<![CDATA[Penerapan Jaringan Syaraf Tiruan dengan Algoritma Backpropagation dalam Memprediksi Hasil Panen Gabah Padi ]]>
<![CDATA[Maiyuriska, Randi]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 1 (March 2022) ]]>
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DOI: 10.37034/infeb.v4i1.115
<![CDATA[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.]]>
<![CDATA[Data Mining dalam Mengidentifikasi Calon Penerima Bantuan Satu Keluarga Satu Sarjana (SKSS) dengan Menggunakan Algoritma K-Means ]]>
<![CDATA[Febrianti, Wenti]]>;
<![CDATA[Mustopa Husein Lubis]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 2 (June 2022) ]]>
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DOI: 10.37034/infeb.v4i2.117
<![CDATA[Regional Regulation (PERDA) of Dharmasraya Regency Number 4 of 2009 concerning the Formation and Structuring of Nagari, one of the programs is the One Family One Bachelor (SKSS) assistance provided by the National Amil Zakat Agency (Baznas). This program aims to provide assistance so that the survival of the underprivileged can be overcome. Assistance provided by the government is educational assistance for families who have children during their education but cannot afford it in terms of costs. This One Family One Bachelor (SKSS) assistance is given to every sub-district in Dharmasraya, including Tiumang District which is one of the sub-districts in Dharmasraya Regency, West Sumatra Province. This program is intended to assist poor families in continuing their son's education to college level. Identification of prospective recipients of One Family One Bachelor (SKSS) assistance is obtained after a selection is made based on criteria that are in accordance with what is needed. The purpose of this study was to identify potential recipients of SKSS assistance in Tiumang District, Dharmasraya Regency. This research method uses data testing from Tiumang District, Dharmasraya Regency using the K-Means Cluster algorithm, which is to classify whether or not it is appropriate to receive the assistance. Based on the results of the identification using the K-means cluster, the grouping is feasible and not feasible. The amount of data used is 25 family data. The data used includes the criteria for the amount of parental income, the number of dependents of parents, the average value of the National Examination (UN), and memorizing the Koran. The results of the test showed that the eligible cluster 1 was 8 people, and the inappropriate cluster 2 was 17 people. So this research is very helpful in processing the determination of families who get Zakat to continue higher education]]>
