Jurnal Informatika Ekonomi Bisnis
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.
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283 Documents
<![CDATA[Peramalan Penjualan Pupuk Menggunakan Metode Trend Moment ]]>
<![CDATA[Ulia Ulfa]]>;
<![CDATA[Sumijan]]>;
<![CDATA[Gunadi Widi Nurcahyo]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 1, No. 4 (2019) ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/infeb.v1i4.4
<![CDATA[Aneka Tani Mandiri Trade Unit is a fertilizer sales shop in the city of Padang. From year to year sales of fertilizers in UD. Aneka Tani Mandiri experiences fluctuations where it is difficult to predict sales increases and decreases every month. The problem that most often occurs in this store is often experiencing shortages and excess stock of goods, this is very likely to occur because many of its items are not sold out and many items are needed by consumers but insufficient stock of goods. Another result is that the profits from the store should be more reduced, with this problem the store must be able to predict how many items will be sold and how many items must be provided in the following month, by knowing the number of items to be sold, the deficiency or excess stock of goods can be avoided. So for that the research was conducted using the Trend Moment Method to predict and predict fertilizer stock that will be provided for the following month. So that will increase sales turnover of the store. By building a fertilizer sales forecasting system using the Trend Moment method which is assisted by the PHP and MySQL programming languages can produce ZA fertilizer sales predictions with success rates above 75%.]]>
<![CDATA[Prediksi Pendapatan Terbesar pada Penjualan Produk Cat dengan Menggunakan Metode Monte Carlo ]]>
<![CDATA[Bias Yulisa Geni]]>;
<![CDATA[Julius Santony]]>;
<![CDATA[Sumijan]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 1, No. 4 (2019) ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/infeb.v1i4.5
<![CDATA[Completing cat products in meeting consumer demand is something that must be addressed. Sales are very important for sales. The amount of demand for goods increases, it will get a large income. The purpose of this study is to predict the sales revenue of paint products at UD. Masdi Related, makes it easy for the leadership of the company to find out the amount of money obtained quickly. This research also makes it easy for companies to take business strategies quickly and optimally. The data used in this research is the data of paint product sales for January 2016 to December 2018 which is processed using the Monte carlo method. Income prediction will be done every year. In addition to predicting revenue, the sales data is also used to predict product demand every year. To predict the sales of paint products using the Monte Carlo method. The results of this study can predict sales revenue of paint products very well. Based on the results of tests conducted on the system used to predict sales revenue of cat products with an average rating of 89%. With a fairly high degree of accuracy, the application of the Monte Carlo method can be estimated to make an estimate of the income and demand for each paint product every year. Necessary, will facilitate the leadership to choose the right business strategy to increase sales of cat product sales.]]>
<![CDATA[Pengaruh Struktur Modal Berdasarkan Profitabilitas, Pertumbuhan Aset, dan Ukuran Perusahaan pada Perusahaan Manufaktur ]]>
<![CDATA[Nita Dwijayanti]]>;
<![CDATA[Hamdy Hady]]>;
<![CDATA[Elfiswandi]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 1, No. 4 (2019) ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/infeb.v1i4.6
<![CDATA[This study aims to measure the level of influence of profitability, asset growth, and company size on changes in capital structure in manufacturing companies. The method used for sample determination is purposive sampling with analytical methods using descriptive statistics, classic assumption tests and multiple panel data regression. The data tested in the study were 112 companies in the basic and chemical industry sectors, consumer goods, and the textile and garment sub-sector listed on the Indonesia Stock Exchange (IDX). The results showed that partially profitability had a negative and significant effect on capital structure, while asset growth had a positive and significant effect. Then the company must be able to choose the right combination of financing sources in order to be able to produce optimal profits.]]>
<![CDATA[Korelasi Kebijakan Dividen, Ukuran Perusahaan dan Profitabilitas Terhadap Kebijakan Hutang pada Perusahaan Manufaktur ]]>
<![CDATA[Zefriyenni]]>;
<![CDATA[Vivi Nila Sari]]>;
<![CDATA[Selvida Utami]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 1, No. 4 (2019) ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/infeb.v1i4.7
<![CDATA[This study aims to analyze how much the correlation between dividend policy, company size, and profitability is partially and simultaneously on debt policy. The data processed amounted to 161 companies. Data collection techniques through documentation study with secondary data accessed through the official website of the Indonesia Stock Exchange (IDX). The sampling technique uses purposive sampling method. The analytical method used is multiple linear regression. The results of this study indicate that dividend policy is not partially correlated significantly to debt policy, while company size and profitability are significantly correlated to debt policy. The coefficient of determination shows a value of 0.748 with a value of 74.8%. While the remaining 25.2% by factors in external variables.]]>
<![CDATA[Pengaruh Komitmen, Kompetensi, dan Locus of Control Terhadap Kinerja Pegawai Pemerintahan ]]>
<![CDATA[Alwa Dudi]]>;
<![CDATA[Anoesyirwan Moeins]]>;
<![CDATA[Elfiswandi]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 1, No. 4 (2019) ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/infeb.v1i4.8
<![CDATA[The aim of this study is the level of influence of commitment on employee performance in several Regional Apparatus Organizations (OPD). The method used is a survey with an associative type. The processed data is questionnaire filling data for all Civil Servants (PNS) in the Solok City Regional Government, totaling 158 people. The results of this study are that commitment has a significant effect, competition has no significant effect, and Locus of Control has a significant effect on employee performance. So the leadership of several OPDs continues to pay attention to the commitment and Locus of Control of each employee to improve employee performance.]]>
<![CDATA[Prediksi Optimal dalam Produksi Bata Merah Menggunakan Metode Monte Carlo ]]>
<![CDATA[Hendro Zalmadani]]>;
<![CDATA[Julius Santony]]>;
<![CDATA[Yuhandri Yunus]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 2, No. 1 (2020) ]]>
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DOI: 10.37034/infeb.v2i1.11
<![CDATA[The availability of red bricks on the market is a problem that must be addressed. Because the availability of red brick affects sales revenue. The purpose of this research in the Small and Medium Micro Business of the Red Brick City of Pariaman is to predict the production of red bricks to find out income and find out the next production. So this research can make it easier for business owners to find out how much it will cost for the next production cost. The data used in this study are production data from 2017 to 2019 which are processed using the Monte Carlo method. Based on the results of production prediction testing that has been done, it is found that the average accuracy is 90%. With the results of a high degree of accuracy, the application of the monte carlo method is considered to be able to predict production annually. Making it easier for business owners to determine the costs incurred in the next production process.]]>
<![CDATA[Kinerja Karyawan Ditinjau dari Kepuasan Kerja, Kecerdasan Emosional dan Stres Kerja ]]>
<![CDATA[Sari Rahmadani]]>;
<![CDATA[Anoesyirwan Moeins]]>;
<![CDATA[Yulasmi]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 2, No. 1 (2020) ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/infeb.v2i1.14
<![CDATA[This study aims to determine how much influence job satisfaction, emotional intelligence, and work stress on employee performance at PT. Padang Broad Bay. The method of collecting data through surveys and distributing questionnaires. The sample was 144 respondents and the analytical method used was regression analysis and correlation analysis. Based on the results of multiple regression analysis, the equation Ŷ = 21.790 + 0.256X1 + 0.615X2 - 0.482X3 is obtained. There is a positive and significant effect between job satisfaction (X1) on employee performance (Y), with a tcount of thitung 3.697 or a significantly smaller level than alpha (0,000 <0.05). Then there is a positive and significant effect between emotional intelligence (X2) on employee performance (Y), with a tcount of thitung 8.426 or a significantly smaller level than alpha (0,000 <0.05). Furthermore there is a negative and significant effect between work stress (X3) on employee performance (Y), with t hitung -3,697 or a significant level smaller than alpha (0,000> 0.05). Finally there is a significant influence between job satisfaction (X1), emotional intelligence (X2) and work stress (X3) together on employee performance (Y). There is also a strong relationship between each of these variables with a count of fhitung 75.486 or significantly smaller levels from alpha (0,000 <0.05).]]>
<![CDATA[Analisis Kinerja Karyawan Ditinjau dari Gaya Kepemimpinan, Disiplin Kerja, dan Motivasi Kerja ]]>
<![CDATA[Prinaldi]]>;
<![CDATA[Elfiswandi]]>;
<![CDATA[Ismuhadjar]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 2, No. 1 (2020) ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/infeb.v2i1.16
<![CDATA[This study aims to find out how much the analysis of employee performance in terms of work discipline, work motivation and leadership style at Kodim 0307 Tanah Datar. Data collection methods through surveys and questionnaires. Total sample of 121 respondents. The analytical method used is regression analysis and correlation analysis. Based on the results of multiple regression analysis, the equation Ŷ = 7.054 + 0.426 X1 + 0.186 X2 + 0.274 X3. There is a positive and significant influence between leadership style (X1) on employee performance (Y), with t count 0.426 or significantly lower than alpha (0.000<0.05). Then a positive and significant effect between work discipline (X2) on employee performance (Y), with a t count of 0.186 or a significant level smaller than alpha (0.012<0.05). There is a positive and significant influence between work motivation (X3) on employee performance (Y), with tcount 0.274 or significantly lower than alpha (0.001>0.05) and significant influence between leadership style (X1), work discipline (X2 ) and work motivation (X3) together on employee performance (Y) as well as a strong relationship between each of these variables with f count 28,534 or a significantly smaller level than alpha (0,000 <0.05).]]>
<![CDATA[Pemetaan Promosi dalam Penjaringan Calon Mahasiswa Menggunakan Algoritma Backpropagation ]]>
<![CDATA[Mhd Hary Kurniawan]]>;
<![CDATA[Sarjon Defit]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 2, No. 1 (2020) ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/infeb.v2i1.17
<![CDATA[Promotion requires a large fee if it is not targeted when doing it. Backpropagation is an excellent method of dealing with the problem of recognizing complex patterns. Backprogation neural network each unit in the input layer is connected to each unit in the hidden layer. Student data from 2014 to 2018 is a comparison point. The results of testing of this method are calculations using a sample value of 5 years before using a comparative value of 2014 to 2018 totaling 602 data. This research uses 5-5-1 architecture, epoch 2000 and learning rate so that the data accuracy reaches 71% with an error value of 0.0099. The results of this study are 16 districts that become promotion recommendations. Ordering of forecasting the highest number of students to the smallest number of students, so it can be concluded that this method is very useful in mapping promotions.]]>
<![CDATA[Objektivitas Sumber Daya Dosen Menggunakan Metode Weight Product ]]>
<![CDATA[Deri Marse Putra]]>;
<![CDATA[Gunadi Widi Nurcahyo]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 2, No. 1 (2020) ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/infeb.v2i1.20
<![CDATA[Lecturers as one of the human resources who have an important role in higher education activities need to be maintained the quality of their performance. One of the activities carried out is evaluating and ranking lecturers to improve the quality of performance. There needs to be a Decision Support System that can help in assessing and evaluating lecturer performance. One method in decision support is the Weight Product Method. The purpose of this research is to create a decision support system to determine the best lecturers and rank of each lecturer. The subjects of this study were lecturers at Putra Indonesia University YPTK Padang using a data sample of 5 lecturers. Data collection techniques used in this study were observation and interviews. Comparison of the results of calculations carried out manually with the results of calculations using the Weight Product method of 5 sample data used found the best lecturer with a vector V value of 0.0819. This decision support system was created using the PHP programming language and MySQL database. So that this research is more efficient because the time required in the calculation is shorter and produces the best lecturer choice that matches the criteria.]]>
