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Prof. Dr. H. Jufriadif Na`am, S.Kom, M.Kom
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Jurnal Informatika Ekonomi Bisnis
Published by Universitas Putra Indonesia YPTK Padang
ISSN : 27148491     EISSN : -     DOI : https://doi.org/10.37034/infeb
Core Subject : Economy,
Economics, Econometrics & Finance
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.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 4, No. 2 (June 2022)" : 5 Documents clear
Tingkat Peramalan Penjualan Produk Bordir dan Sulaman Menggunakan Metode Trend Moment Fellanie Mayesa Putri
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 2 (June 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (475.245 KB) | DOI: 10.37034/infeb.v4i2.122

Abstract

Forecasting is data in the past that is used for the purposes of estimating future data. Selling is a managerial social process by which individuals and groups obtain what they need and want, create, offer, and exchange products of value with others. Yenie Embroidery and Embroidery Shop is a shop that is engaged in craftsmanship and sales of embroidery such as embroidery and embroidery, the results of craftsmen and embroidery located in Bukittingi. Currently Yenie Embroidery and Embroidery Stores are experiencing an increase both in terms of consumers and in terms of the type of merchandise. With the forecast can help to predict future sales and can minimize losses to a product. In this study, a forecast is carried out for the next month and to find out the success rate of the trend moment forecasting method for sales from Yenie Embroidery and Embroidery Shops through sales data. The method used in this research is the Trend Moment Method. The Trend Moment method is a method that uses certain statistical and mathematical methods to determine the function of a straight line as a substitute for a broken line formed by historical company data. The results of the study can forecast sales of embroidery and embroidery products properly and optimally. So that the store management can predict the inventory of goods for the future optimally. This action can improve service to the availability of goods very well
Analisis Tata Kelola E-Government Pelayanan Administrasi Menggunakan Framawork COBIT 5 Ilham Wahyuni
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 2 (June 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (499.281 KB) | DOI: 10.37034/infeb.v4i2.123

Abstract

Information Technology (IT) and Information Systems have a very important role for the Department of Population and Civil Registration of Tanah Datar Regency (DUKCAPIL). DUKCAPIL is a government service in population administration matters. To find out that DUKCAPIL's performance is in accordance with the plan, it is necessary to analyze E-Geverment governance. This study aims to determine the level of capability (capability level) and system improvement by monitoring, reviewing and measuring in the application of IT at DUKCAPIL Tanah Datar. IT governance analysis uses the COBIT 5 framework with 5 domains, namely EDM (Evaluating, Direction, and Monitoring), APO (Align, Plan, Organise), BAI (Build, Acquire, and Implement), DSS (Deliver, Service and Support) , and MEA. The method of data collection in this study was a literature study (review of IT application and literature study) question and answer in interviews and filling out questionnaires, then an analysis was carried out to determine the level of ability and gaps in the application of IT. The results of the EDM domain at level 2, APO at level 1, BAI at level 1, DSS at level 1, and MEA (Monitoring, Evaluate, and Asses) at level 2. The level of capability obtained from the analysis results is the capability level of DUKCAPIL Tanah Datar when viewed from the EDM04 Ensure Resource Optimization process and MEA01 Monitor, Evaluate and Assess Performance and Conformance are at level 2 Managed Process. This shows that the process has been recorded, measured and in accordance with the objectives. The APO07 Manage Human Resources, BAI09 Manage Assets and DSS01 Manage Operations processes are at level 1 Performed Process, which means that the process has been applied to DUKCAPIL Tanah Datar.
Prediksi Tingkat Kepuasan Pelayanan Online Menggunakan Metode Algoritma C4.5 Yuni Indah
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 2 (June 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v4i2.99

Abstract

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
Data Mining dalam Mengidentifikasi Calon Penerima Bantuan Satu Keluarga Satu Sarjana (SKSS) dengan Menggunakan Algoritma K-Means Wenti Febrianti; Mustopa Husein Lubis
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 2 (June 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v4i2.117

Abstract

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
Kewirausahaan sebagai Pahlawan Tanpa Tanda Bintang selama Krisis Ekonomi COVID-19: Perspektif Indonesia Riandy Mardhika Adif
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 2 (June 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v4i2.124

Abstract

The COVID-19 pandemic has had a significant and catastrophic impact on businesses and the global economy. During the Covid 19 pandemic, we have identified internal and external empowerment from business creation. This study aims to provide entrepreneurial insight, implementation and dynamics to demonstrate the role of entrepreneurship in times of adversity in the Indonesian Context. The researcher provides an exploratory narrative that emerges from leading Indonesian scholars, identifying entrepreneurial initiatives for the creation and growth of new ventures. This research is in the form of insights related to the entrepreneurial mindset, the multi-dimensional effects of resilience and entrepreneurship, entrepreneurship education, entrepreneurial empowerment and ecosystem entrepreneurship. The results of this study regarding the context and empirical results. We postulate that entrepreneurship will be the unsung heroes during the current Covid-19 economic crisis.

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