cover
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
Jurnal Informatika Ekonomi Bisnis
ISSN : 27148491     EISSN : -     DOI : https://doi.org/10.37034/infeb
Core Subject : Economy,
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.
Articles 7 Documents
Search results for , issue "Vol. 3, No. 1 (2021)" : 7 Documents clear
Klasterisasi Bibit Terbaik Menggunakan Algoritma K-Means dalam Meningkatkan Penjualan Hartati, Yuli; Defit, Sarjon; Nurcahyo, Gunadi Widi
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 1 (2021)
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v3i1.56

Abstract

Tiara Bersaudara is a shop that sells seeds and agricultural needs. To maintain a stock of seeds that farmers are interested in, sellers must be able to analyze seed sales data. This process is difficult to do because UD has a lot of sales data. The existing problem can be solved by clustering seed sales data. Clustering is grouping data into several clusters based on the level of data similarity. The research objective was to group the best-selling seedlings in UD.Tiara Bersaudara in increasing sales. Seed sales data from January to April 2019 are data that will be processed in this study. The clustering method uses the K-Means algorithm by partitioning the data into clusters based on the closest centroid to the data. Then the test is done by comparing the calculation results with the Rapid Miner studio 9.7 software. Clustering is tested based on lots of data and many clusters. The data tested were 42 seedlings by obtaining 2 clusters, 4 data which were best-selling seeds as cluster one (C1), and 38 data which were unsold seeds as cluster two (C2). Best-selling seeds are the best seeds that can increase sales consisting of Bibit Jagung NK 212, Bibit Jagung NK 7328, bibit Jagung Pioneer 32, Bibit Jagung NK 617232. The results of this study can be used as benchmarks for decision support by UD.Tiara Berasaudara to set up a marketing strategy to increase sales.
Simulasi Algoritma Monte Carlo dalam Memprediksi Pendapatan Penjualan Produk Kalsium Tiens Syariah Yani, Zulfitri; Sumijan
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 1 (2021)
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v3i1.58

Abstract

In meeting consumer needs, the availability of calcium products is a problem that needs attention. Items that are often sold will be the largest stock, so that the demand for finished goods is met and income will also increase. This study aims to predict the level of sales revenue for calcium products at stokies tiens 872, in determining which products will be provided for the following year. The data to be used is the sales data for calcium products from 2018 to 2019. Data processing is carried out using the Monte Carlo algorithm, then the data is processed and generated using random numbers taken randomly, after which it is converted or changed in the form of distribution with use simulation techniques to get the results. The results obtained in predicting the income level of sales of calcium products, by making comparisons with the sales data that were sold, namely Nutrient High Calcum Powder that existed in 2018, with simulation results in 2018 with a data accuracy rate of 91%, with the number of calcium products. as many as 1367 products. Then the data in 2019 with simulation results in 2019 with a data accuracy rate of 93% with the number of calcium products as many as 1667 products. With the resulting level of accuracy in the study, the monte carlo simulation can help the stockies predict sales revenue based on processed data, so that this study is able to predict the level of income for the following year.
Simulasi Besaran Pinjaman terhadap Permohonan Kredit Menggunakan Monte Carlo Murka, Satra
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 1 (2021)
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v3i1.59

Abstract

Providing credit to customers is a very important part for PT. BPR LPN Tarantang in increasing a profit. Credit is the provision of the use of money or goods to other people within a specified period of time with guarantee or without collateral, by providing interest or non-interest services. In banking management it is very necessary to determine the amount of the credit loan, so that the amount of the loan customer credit can be. fulfilled. This study conducted credit loan data from 2017 to 2019. To speed up data processing on the amount of credit loans, a Web-based program with the PHP programming language was applied. The result of the test is to get a prediction of the loan size with an accuracy rate of 92%. So that the results obtained can help the company PT. BPR LPN Tarantang in predicting the amount of credit in the coming year.
Logika Fuzzy dengan Metode Mamdani dalam Menentukan Tingkat Peminatan Tipe Motor Honda Jufriadi
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 1 (2021)
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v3i1.60

Abstract

Honda motorcycles are in demand by the public as a cheap means of land transportation. CV Hayati is the main motorcycle dealer company in Padang. In carrying out its activities, CV Hayati needs to consider several factors when selling motorcycles that are in demand by consumers. However, CV Hayati still uses manual means in looking at the interest in the motor that will be purchased by consumers. To solve the problem, a system is needed that can help with decision-making by consumers in purchasing motors according to their interests. In this study, the decision to buy a motor that consumers were interested in was done using the fuzzy logic of mamdani method. With the decision-making system in motor interest, it is expected to help and facilitate consumers in determining the motor they are interested in buying. The results of this study can be viewed using the PHP programming language and MySQL database, with the fuzzy logic of the mamdani method. Where in the fuzzyfication process consider several input variables namely: price, oil fuel tank capacity, engine speed, baggage capacity and vehicle weight. So that by defuzzification can be determined the recomedation of motors that are in demand by consumers.
Simulasi Monte Carlo dalam Memprediksi Tingkat Pendapatan Penjualan Kuliner Ihksan, Muhammad; Yunus, Yuhandri
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 1 (2021)
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v3i1.63

Abstract

Radja Minas is one of the culinary places located in the city of Padang with more than 30 employees. With the development of Radja Minas, of course, a good management strategy is needed. One way to do a revenue simulation, sales revenue simulation is a process of drawing or predicting sales. This study aims to predict the average sales revenue, so that it becomes a recommendation for use in making management strategies. The data processed in this research is sales data from 2017 to 2019 which comes from Radja Minas. This data will be processed using the monte Carlo method. The results of the tests that have been done have an accuracy rate of 92.66%. The high level of accuracy from the results of predictive data processing, this research is very precise and suitable for optimizing sales revenue. So that this research becomes a recommendation to be used in making a management strategy at Radja Minas in the future.
Akurasi Bantuan Stimulan Perumahan Swadaya (BSPS) terhadap RTLH Menggunakan Metode Weighted Product Apriliana, Milla
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 1 (2021)
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v3i1.71

Abstract

Help Stimulant Self-help Housing (BSPS) is a program of the Ministry of Public works and Housing organized by the government. Agam Regency is one of the regions that obtain the BSPS since the year 2016, with a fairly large number. In the determination of the non-BSPS-party districts still take the decision in a subjective manner, so that fact shows that there are many underprivileged communities that are not listed as one of the recipients of the program. This research is conducted to assist Decision-Making in determining the Accuracy of the acceptance program of BSPS against the House is Not Livable (RTLH) so right on target with the help of the implementation of the system using the method of Weighted Product. The method of Weighted Product using the technique of multiplication to connect the rating attribute, then the rating attribute to the power with the weight of attributes is concerned, the weights and the criteria are adjusted to the terms that have been assigned to the Office of Housing and residential areas in Agam Regency. There are 10 main criteria and 20 test data that will be if in doing the calculations. The results of data processing gives the value of the weight on each criteria and then performed the ranking to get the help of a Decent Home. The implementation of this system-based website by using PHP programming language and MySQL as the database. The results of the testing of this method obtained the highest score that is 0.059 of an alternative to the 19 which is Junaidi. Then do a comparison with manual calculation with the system that made and get the same results with 100% accuracy rate and is expressed accurately. A Decision Support system that can be applied to determine priority recipients of the program BSPS obtained from the results of the accuracy of the data and thus can assist the District in making decisions accurately and objectively.
IoT dalam Penyebaran Informasi Merk Kopi Si Pahit Lidah Besemah Menggunakan Metode Design Thinking 101 Nurmaleni
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 1 (2021)
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v3i1.77

Abstract

IoT (Internet of Things) is a concept that has a function to expand connectivity on the Internet that is connected continuously. Internet of Things is also said to be a global network infrastructure, which can connect hardware and virtual through the exploitation of data capture and communication capabilities. A virtual device that is more common and easy to use is the Design Thinking 101 method. Introducing the general public as well as the surrounding community, especially Besemah, about the Si Pahit Lidah Besemah coffee brand through the virtual world. Design Thinking 101 is a design methodology that is useful in solving complex problems by understanding the human needs involved. Furthermore, design thinking will be processed through the Parallax web program. The processing stages are Empathize, Define, Ideate, Prototype and Test. Design Thinking results from the processed stages which are then collaborated to form an effective virtual appearance. Followed by IoT. The results of the use of this method in the form of the operation of the Si Pahit Lidah Besemah coffee brand information are conveyed well and interestingly with website. The result of Design Thinking has conveyed information well and is interesting. Although the level of access to the internet also has a limit on quotas, it can be recommended to help this coffee brand improve its accuracy to convey information accurately, well and attractively.

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