Jurnal Informatika Ekonomi Bisnis

Prediksi Tingkat Kedatangan Wisatawan Asing Menggunakan Metode Backpropagation (Studi Kasus: Kepulauan Mentawai)

Salman Alfarisi Salimu — 2020-12-31

The tourism industry is always growing and plays an important role in the national economy, both as the second largest contributor to foreign exchange and as a large labor absorber. This study aims to optimize production using the Artificial Neural Network (ANN) method. The technique used is Backpropagation. The data processed is data on the number of foreign tourists from 2017 to 2019 in the Mentawai Islands. The results of the momentum obtained are 2-5-1 on the division of data into 2, namely training data for 2017 and 2018 and test data for 2019. The optimal prediction result is 0.99847, so this research is very helpful in predicting the arrival rate of foreign tourists in Mentawai Islands.

MOORA sebagai Sistem Pendukung Keputusan dalam Mengukur Tingkat Kinerja Dosen (Studi Kasus di Universitas Pembangunan Panca Budi Medan)

Ruly Dwi Arista — 2020-12-31

Education personnel (Lecturers) are the most important assets owned by a university. To measure the performance level of lecturers, the campus management conducts performance appraisals for each of its lecturers' work at the Panca Budi University Development, Medan. The purpose of this research is to assist decision making in measuring the level of lecturers who perform well at Panca Budi University Development. The data used in this study are data taken from the Panca Budi Development University. Lecturer data that is processed is as many as 20 permanent lecturers who have been registered at the Panca Budi Development University (UNPAB) Medan. processing by using the Multi Objective Optimization method On The Basic Of Ratio (Moora). The results of the testing of the Morra method obtained the highest value of the alternative table calculation, namely M3 (0.2144), the lecturers with good performance are M3 Based on the results of the research conducted, the application of the Multi Objective Optimization method on the Basic Of Ratio (Moora) is quite easy. used as a way in the process of measuring the level of lecturer performance.

Sistem Pendukung Keputusan Menggunakan Metode Simple Additive Weighting dalam Meningkatkan Pendapatan Jasa Fotografi (Studi Kasus : Studio Foto Onewaycreative di Kota Padang)

Fanny Septiani Bufra — 2020-12-31

The photography business grew very rapidly and was very profitable. The intense competition made the photo studio suffer losses and even went out of business because it was unable to compete and made wrong decisions. Like during the Covid-19 Pandemic in 2020, several photo studios experienced a decline in revenue because there were no bookings for photo services or canceling agreed projects. The purpose of this study is to assist the owner of a photo studio or photographer in determining the best decision from an investment plan that has been planned based on predetermined criteria in order to increase photography service income. In this study using the Simple Additive Weighting method. The variables that are the main criteria in this decision-making system are Cost, Productivity, Priority Needs, and Availability. The alternative data used is the Photo studio Investment Plan data in July 2020. Based on the results of the calculations using the Simple Additive Weighting method, the results show that Alternative 1, namely Paid Promotion on Social Media, is recommended as the best decision with the highest preference value of the 12 sample data. tested is 0.93. Comparison of data from manual counting with the system created, namely the Website-based Decision Support System, resulted in the same calculation value. So that the accuracy value is 100% and is declared accurate. With this Decision Support System, it can produce objective decisions to assist owners in determining investment plans that can increase income from photography services.

Bisnis fotografi tumbuh sangat pesat dan sangat menghasilkan. Ketatnya persaingan membuat studio foto mengalami kerugian bahkan sampai gulung tikar karena tidak mampu bersaing dan salah dalam mengambil keputusan. Seperti pada masa Pandemi Covid-19 ditahun 2020, beberapa studio foto mengalami penurunan pendapatan karena tidak adanya yang booking jasa foto ataupun membatalkan project yang telah disepakati. Tujuan dari penelitian ini adalah untuk membantu owner studio foto atau fotografer dalam menentukan keputusan terbaik dari rencana investasi yang sudah direncanakan berdasarkan kriteria yang telah ditentukan agar dapat meningkatkan pendapatan jasa fotografi. Penelitian ini menggunakan metode Simple Additive Weighting. Variabel yang menjadi kriteria utama pada Sistem Pengambilan Keputusan ini yaitu Biaya, Produktivitas, Prioritas Kebutuhan, dan Ketersediaan. Data alternatif yang digunakan yaitu data Rencana Investasi studio Foto pada bulan Juli 2020. Berdasarkan hasil dari perhitungan dengan menggunakan metode Simple Additive Weighting ini, didapatkan hasil bahwa Alternatif 1 yaitu Promosi Berbayar di Sosial Media direkomendasikan sebagai keputusan terbaik dengan nilai preferensi tertinggi dari 12 data sampel yang diuji yaitu 0.93. Dilakukan perbandingan data dari hitungan manual dengan sistem yang dibuat yaitu Sistem Pendukung Keputusan berbasis Website menghasilkan nilai perhitungan yang sama. Sehingga nilai keakurasiannya adalah 100% dan dinyatakan akurat. Dengan adanya Sistem Pendukung Keputusan ini dapat menghasilkan keputusan objektif untuk membantu owner dalam menentukan rencana investasi yang dapat meningkatkan pendapatan jasa fotografi.

Optimalisasi Prediksi Penjualan Produk Herbal Menggunakan Metode Monte Carlo dalam Meningkatkan Transaksi (Studi Kasus: Toko Herbal An Nabawi)

Nova Hayati — 2020-12-31

Herbs are a product that is in great demand by the public. With so many enthusiasts of herbal products, there is a need for product availability to increase sales transactions for these products. To increase sales transactions for these products, one process that can be done is to predict the sales of herbal products, with data used from January 2018 to December 2019 at the An Nabawi herbal shop. The prediction process is carried out using the Monte Carlo method and to simplify the prediction process a web-based system with the PHP programming language is implemented to make it easier. With the Monte Carlo method used in this study to predict sales of herbal products so that the leadership can use it to make decisions on the availability of herbal products in the shop. The sales prediction results obtained from the Monte Carlo simulation process with an accuracy rate of 87.91%. In this way, the Monte Carlo method can be applied to predict the future sales of herbal products and can be used by store leaders to make decisions regarding the availability of herbal products.

Pemodelan dan Simulasi Monte Carlo dalam Meningkatkan Pendapatan Penjualan Peralatan Motor (Studi Kasus : Bengkel AMI Motor)

Wita Siska Moza — 2020-12-31

AMI Motor shop is a various shop that is engaged in sales by selling various motorcycle equipment. Sales transactions vary in stores, but almost all products have increased and decreased, so it is necessary to know how the product data is related to consumer demand. Sales simulation is an estimate that can provide benefits in making decisions to increase sales revenue. The purpose of this study is to predict what motorcycle equipment stock should be increased and decreased in sales in the following year. The data used is motor equipment sales data in 2018 and 2019 which are processed using the Monte Carlo method. In speeding up data processing, this system is applied to a web-based system using the PHP (Hypertext Processor) programming language. Based on the results of testing prediction levels of motorcycle equipment sales, average accuracy is 95,92%, making it easier for company leaders to make decisions on developing business strategies to increase sales revenue.

Evaluasi Kepuasan Pengguna terhadap Sistem Informasi Provisioning Monitor Indihome Dunsanak (SIMIDUN) menggunakan Metode Service Quality (Studi Kasus di Telkom Witel Sumbar)

Devi Gusmita — 2020-12-31

Measurement of the quality of information systems is necessary to evaluate the satisfaction of users of the system as a consideration for companies to develop the information system. This research aims to apply and test the Service Quality method to measure the level of user satisfaction with the Indihome Dunsanak Information System Provisioning Monitor (SIMIDUN) to serve as a benchmark for system developers to develop Indihome Dunsanak's Information System Provisioning Minitor. The data used in this study is data about the details of items or indicators contained in the application to be evaluated, by distributing questionnaires to system users. Data processing is done using the Service Quality method, then the data is processed by calculating the perception value and the expected value based on the questionnaire that has been distributed then calculating the gap score to make a cartesian diagram. The results obtained in the evaluation of user satisfaction information system provisioning indihome dunsanak based on Distribution and Percentage of User Perceptions of the information system that 38.47% of SIMIDUN Information System users are satisfied with the performance of the system and only 18.47% of users assess the performance of the SIMIDUN Information System very much. satisfactory, based on the data obtained that the average servqual score is -0.97 means that the score gap between user expectations and what the user feels is negative. This means that the average expectation of new users is fulfilled by SIMIDUN Information System with a score of 0,97.

Sistem Penunjang Keputusan dalam Penentuan Prioritas Pembanguanan Menggunakan Metode Trus Base dengan Topsis

Beni Aktavera — 2020-12-31

Village communities need empowerment in order to develop community welfare and independence to increase attitudes, knowledge, behavior, skills, and priority needs of the village community, including development. villages must be done well in an effort to community village. Village development has an context. Research is to assist Merangin district in making decisions to determine priorities for sub-district development, Merangin Regency which refers to the Regional Long-Term Development Plan (RPJPD). 2018-2019 and 2020 budgets while the decision-making method to solve existing problems is to use increased public participation using a trust-based (trust-based). With the TOPSIS (Technique For Others Preference by Similarity to Ideal Solution) method. With the method to be used, this system can provide information in the form of proposals which are prioritized to be implemented which are aligned with the Regional Long-term Development Plan (RPJPD) and the National Medium Term Development Plan (RPJMN) so that village development can be carried out properly, the TOPSIS method used was able to overcome the weaknesses in the old system and gave 90% accurate results in determining the development priorities of Merangin Regency using the method TOPSIS, and the application of the topsis method for this system could contribute to the results of ranking alternative development priorities in Kab. Merangin to the maximum.