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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292 Documents
<![CDATA[Sistem Pendukung Keputusan dengan Metode Multi Factor Evaluation Process dalam Mengidentifikasi Penerima Bantuan yang Tepat pada Program Keluarga Harapan ]]>
<![CDATA[Lidia Sutra]]>;
<![CDATA[Gunadi Widi Nurcahyo]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 2 (2021) ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/infeb.v3i2.65
<![CDATA[The Family Hope Program (PKH) is a conditional cash transfer program for poor families. PKH is one of the government programs in reducing poverty in Indonesia. The large amount of PKH participant data that will be processed can take a lot of time and can hamper the flow of aid. This study aims to create a system that can assist PKH facilitators in identifying the right beneficiaries for the PKH program quickly and with accurate results. The method used in this research is the Multi Factor Evaluation Process (MFEP) method. The data processed in this study consisted of 25 PKH participant data obtained from PKH Nagari Kunangan Parik Rantang facilitators. The criteria used as an assessment for PKH participants were having early age children, pregnant women, the elderly, with disabilities, high school children, junior high school children, and elementary school children. The stages of the MFEP method are determining the weight of each criterion, filling in the value for each factor, and calculating the evaluation weight then adding up all the evaluation weights to get the total evaluation value which is used as the final value in decision making. From data processing on 25 PKH participants, the results of the eligible decisions consisted of 20 participants and 5 non-eligible participants. The data that has been processed using the MFEP method is compared with data from PKH Facilitators and produces decisions with a 100% similarity level. With this level of accuracy, the MFEP method can be used in identifying the right recipients of assistance in the Family Hope Program.]]>
<![CDATA[Klasterisasi Dana Bantuan Pada Program Keluarga Harapan (PKH) Menggunakan Metode K-Means ]]>
<![CDATA[Abdul Azis Said]]>;
<![CDATA[Sarjon Defit]]>;
<![CDATA[Yuhandri Yunus]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 2 (2021) ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/infeb.v3i2.66
<![CDATA[The Family of Hope Program (PKH) is a program that aims to reduce poverty and improve the quality of human resources. Optimizing the provision of assistance in accordance with the expectations of those in need. Data on the poor or integrated social welfare data is needed as a reference for grouping. This study aims to make it easier for the selection team to provide assistance in accordance with the predetermined criteria whether or not they deserve to receive the assistance. The data used in the study is data from 2019. The data processing in this study uses the K-Means Clustering method with 3 clusters, namely Cluster 1 (C1) Nearly Poor Households (RTHM), Cluster 2 (C2) Poor Households (RTM), Cluster 3 (C3) Very Poor Households (RTSM). The results of the clustering process with 2 iterations state that for Cluster 1 the amount of data is, for Cluster 2 the amount of data, and for Cluster 3 the amount of data. So this research is very helpful in relocating targeted assistance according to the family hope cluster.]]>
<![CDATA[Simulasi Monte Carlo dalam Mengidentifikasi Peningkatan Penjualan Tanaman Mawar ]]>
<![CDATA[Dian Cyntia Dewi]]>;
<![CDATA[Sumijan]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 2 (2021) ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/infeb.v3i2.67
<![CDATA[Roses are one of the most popular types of plants in the community. The sale of roses at the flower shop of 5 siblings is increasingly in demand. Identifying the increase in sales is important in analyzing sales progress. At the present time the seller can only see a manual increase in sales that are most in demand. This study aims to determine predictions of the increase in sales of rose flowers with a monte carlo simulation accurately and accurately. The data that will be processed in this study in the last 2 years, namely 2018 and 2019, rose plants obtained at the 5 Brothers Flower Shop in Solok City. There are several types of roses in the predicted sales level. Then the data will be converted into the probability distribution into cumulative frequency and followed by generating random numbers so that they can determine random numbers. Next, we will group the boundary intervals of the random numbers that have been obtained and continue with the simulation process so that the simulation results and percentage accuracy are obtained using the Monte Carlo method. The results of this study on data processing from 2019 to 2020 have an accuracy of 90%. So this research is very appropriate in identifying the increase in sales for the following year. The design of this system determines the amount of increased sales of goods using the monte carlo method in a flower shop of 5 siblings. Monte Carlo simulations can be used to identify specific sales increases. The results obtained are quite accurate using the Monte Carlo method.]]>
<![CDATA[Sistem Pakar dengan Metode Backward Chaining untuk Optimalisasi Layanan Helpdesk E-Government ]]>
<![CDATA[Popi Hariona]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 2 (2021) ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/infeb.v3i2.68
<![CDATA[The e-Government helpdesk service is an assistance service to deal with user needs related to disturbances and problems that occur both infrastructure and networks, applications and information systems as well as information security that occur in the Payakumbuh City Government. At this time most of the complaints that come to the front office helpdesk always need technicians to handle them, despite the limited number of technicians for handling e-Government problems in Payakumbuh City. This study aims to optimize e-Government Helpdesk services so that services can be carried out without direct technician intervention. The data used in this research is the disturbance report data that goes to the e-Government helpdesk service of Payakumbuh City during the last 11 months from 33 Regional Devices in Payakumbuh City and the stages of problem solving by technicians. This study uses the backward chaining method to identify the causes of disruption to e-Government services. The results achieved in this study are as many as 21 rules that can be applied directly to helpdesk services, with an accuracy rate of 92%. The rules generated by the backward chaining method can be used to optimize the resolution of disturbances that enter the helpdesk by the front office without waiting for the technician.]]>
<![CDATA[Simulasi Metode Monte Carlo dalam Menjaga Persediaan Alat Tulis Kantor ]]>
<![CDATA[Riska Prawita]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 2 (2021) ]]>
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DOI: 10.37034/infeb.v3i2.69
<![CDATA[The use of office stationery in an educational institution is an absolute necessity. Provision of adequate and well-managed office stationery will achieve good effectiveness and efficiency as well. This study aims to predict the demand for office stationery using a Monte Carlo simulation. Monte Carlo simulation is a probabilistic method that determines odds based on random numbers. The data used in this study was the data on requests for Office Stationery in 2018 to 2019 at IAIN Batusangkar. The data was processed based on the Monte Carlo simulation stage by generating random numbers from the data. The results of the Monte Carlo simulation conducted in this study showed an accuracy rate of 96.92 % and were able to predict the demand for Office Stationery. Based on the level of accuracy generated in this study, the Monte Carlo Simulation can be used to predict the demand for Office Stationery for the following year. So, by knowing the demand for Office Stationery, the supply of Office Stationery at IAIN Batusangkar is maintained and effectiveness and efficiency are also achieved.]]>
<![CDATA[Evaluasi Kepuasan Pengguna terhadap Sistem Informasi Provisioning Monitor Indihome Dunsanak (SIMIDUN) menggunakan Metode Service Quality ]]>
<![CDATA[Devi Gusmita]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 2, No. 4 (2020) ]]>
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DOI: 10.37034/infeb.v2i4.70
<![CDATA[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.]]>
<![CDATA[Akurasi Bantuan Stimulan Perumahan Swadaya (BSPS) terhadap RTLH Menggunakan Metode Weighted Product ]]>
<![CDATA[Milla Apriliana]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 1 (2021) ]]>
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DOI: 10.37034/infeb.v3i1.71
<![CDATA[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.]]>
<![CDATA[Simulasi Monte Carlo dalam Prediksi Jumlah Penumpang Angkutan Massal Bus Rapid Transit Kota Padang ]]>
<![CDATA[Khaliq Alfikrizal]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 2 (2021) ]]>
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DOI: 10.37034/infeb.v3i2.72
<![CDATA[Bus Rapid Transit is a system of bus facilities, services and comfort which is used to increase speed and reliability and is integrated with a strong transit identity through high quality services. Trans Padang is a land transportation based on Bus Rapid Transit in Padang City which is managed by the Transportation Agency which started operating in January 2014 with a total bus fleet of 10 units on the Lubuk Buaya-Pasar Raya Padang route. Currently it has 2 corridors operating out of 6 corridors designed. This study aims to predict the number of Bus Rapid Transit passengers in Padang City and determine the level of accuracy of simulation data with real data using the Monte Carlo method. The data used to predict the number of passengers is data on the number of passengers from January 2017 to December 2019. From the simulations carried out, simulated accuracy is obtained for predicting the number of passengers with an average accuracy of above 80%. Based on a fairly high level of accuracy, the application of the Monte Carlo method to predict the number of Bus Rapid Transit passengers in Padang City is considered to be able to predict the number of passengers in the following year.]]>
<![CDATA[Sistem Penunjang Keputusan dalam Penentuan Prioritas Pembanguanan Menggunakan Metode Trus Base dengan Topsis ]]>
<![CDATA[Beni Aktavera]]>;
<![CDATA[Sumijan]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 2, No. 4 (2020) ]]>
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DOI: 10.37034/infeb.v2i4.76
<![CDATA[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.]]>
<![CDATA[IoT dalam Penyebaran Informasi Merk Kopi Si Pahit Lidah Besemah Menggunakan Metode Design Thinking 101 ]]>
<![CDATA[Nurmaleni]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 1 (2021) ]]>
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DOI: 10.37034/infeb.v3i1.77
<![CDATA[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.]]>
