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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 616 Documents
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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.
Optimalisasi Top Down Network Design terhadap Peningkatan Pemberdayaan Pelayanan dalam Menggunaan Mikrotik Krisna Dexa
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 3 (September 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v4i3.139

Abstract

The background of this research is about computer network services to students of the Faculty of Social and Political Sciences (FISIP) at Musi Rawas University, Lubuklinggau. The computer network used in FISIP is very slow, and sometimes it doesn't work well. The purpose of this study is to apply the empowerment of network services using Top Down Network Design in optimizing the use of Mikrotik routers for network connection services. The data processed in this study by conducting a field survey at FISIP Lubuklinggau City. The stages of the process start from observing the mechanism and analyzing QoS (Quality of Service). The method applied to optimize the network to improve service empowerment in the use of the Mikrotik network is Top Down Network Design. This method focuses on the application layer, so that it can be estimated the characteristics of the network to be designed and those that already exist before determining the device to be used. This research stage uses network development using the Top Down Network Design method, which consists of problem analysis, logical network design, physical network design, testing, optimization, and network design documentation. The results of data collection and calculation resulted in very good network conditions. There is one condition where when face-to-face lectures are still being conducted, the network conditions are not very good because of the density of data lines.
Identifikasi Tingkat Penjualan Produk Herbal HWI Menggunakan Algoritma C4.5 Refni Sulastri
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 3 (September 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v4i3.141

Abstract

Herbal stokist HWI Benai has several products that are most in demand by customers, including Vinmory, Habaolive Honey, Slimming Juice etc. However, HWI Benai's great stokist often runs out of stock of these best selling products due to the absence of reguler bookkepping, so customers turn to stockists who have more product. This study aims to make it easier for HWI herbal stockists in Benai to supply more goods based on the products that are most in demand by customers. The data needed is based on variables including product name, product item, unit qty, total, price and subtotal. From this data, Unit wty, total, price and subtotal. From this data, it will help in the processof knowing which products are most in demand based on the accuracy values obtained using the RapidMiner software. The method of the method using a decision tree. The result of the study obtained variables that affect the results in determining the best selling product including the number of orders, product types, purchasing status and customer status. From some if these variables can determine the highest accuracy value and produce a decision tree. The conclusion of this study is that the best method in determining the level of best selling sales is one of them using the C4.5 Algorithm. The C4.5 algorithm is an algorithm in form of a classification in the form of rules thath change the results of complex decision to be simpler and easier to understand
Klasifikasi Citra Kualitas Bibit dalam Meningkatkan Produksi Kelapa Sawit Menggunakan Metode Convolutional Neural Network (CNN) Ego Oktafanda
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 3 (September 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v4i3.143

Abstract

Palm oil is one of the plantation commodities that has a strategic role in Indonesia's economic development. Lack of employee knowledge about the types of diseases in oil palm seedlings resulted in errors in handling them. In the selection of seeds to be planted in plantations, sick will cause unstable palm growth and even die. This study aims to find the best solution according to experts when the emergence of pests or diseases is identified through the pattern and color of the leaves. The data used in this study comes from image data of PT.Gatipura Mulya which is conducting a nursery as many as 612 images of oil palm seedlings and can be divided into 4 classes. The method that can be used in this identification is Convolutional Neural Network (CNN) which can study objects in image patterns. The result of this research is that the accuracy of image recognition is very good. So that this research can be recommended in the introduction of oil palm image patterns.
Manajemen Bandwidth dalam Mengoptimalkan Penggunaan Router Mikrotik terhadap Pelayanan Koneksi Jaringan Siti Aminah
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 3 (September 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v4i3.144

Abstract

The internet with unlimited reach can connect all computers in a connection that makes it easier for users to get information, communicate and establish partnerships. The need for technology is very important to support all existing activities, such as the process of teaching and learning activities, data processing and transactions, administrative needs, exchanging information even in terms of social needs and so on. The problem that often occurs when using the internet is that bandwidth management on the internet is irregular and even wasted, it will even make internet network users experience bandwidth struggles, delays, and lagging. There is a need for bandwidth usage management so that unwanted things don't happen. The purpose of this research will be to apply a Queue Tree method to control clients in providing internet services so that they remain stable and efficient to get test results with QoS (Quality Of Service) parameters in optimizing router use. proxy for network connection services. Where the results obtained from 5 clients and 10 clients by limiting upload and download bandwidth of 50 Mbps on Throughput are 32.08 (%) medium category. The 0.0024 (ms) delay category is very good. Packet Loss 7.4 (%) good category. Jitter of 0.0024 (ms) is very good. And the total result of 10 Client Throughput 17.23 (%) is bad. The delay is 0.0044 (ms) which is great. Packet Loss 4.2 (%) good category. Jitter 0.0044 (ms) is very good by using bandwidth management can optimize internet usage well.
Analisis Text Mining pada Sosial Media Twitter Menggunakan Metode Support Vector Machine (SVM) dan Social Network Analysis (SNA) Tri Putri Lestari
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 3 (September 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v4i3.146

Abstract

Online loans are growing rapidly in Indonesia in the last two years. This is because the online loan administration requirements are easier compared to bank financial service loans. Online loans are financial services that provide online-based services. Along with the development of online loans, many illegal online loans have sprung up and often commit violations, such as leaking customer personal information and abusing data by carrying out extreme actions such as terrorizing customers who make online loan transactions. This certainly gets a lot of comments from the public, especially on social media twitter. This study aims to conduct a sentiment analysis to see what phenomena are happening among the public regarding online loans. The data used are tweets or retweets from Twitter social media with #pinjamanonline #pinjol. Twitter social media was chosen because an incident can become a phenomenon if it gets a lot of attention from the community, especially on Twitter social media. In this study, using text mining techniques by applying the Support Vector Machine algorithm to classify sentiments on twitter users regarding online loans. This study also looks at the interactions that occur on social media Twitter using social network analysis (SNA). the results of research and testing of the Support Vector Machine method to classify online loans with an Accuracy value level of 86.6%, with a positive precision of 86%, neutral of 1.00% and negative of 87%, positive recall of 90%, neutral 87% and negative of 26 % and positive F1-Score of 88% neutral 42% and negative 86%. Then at the Social Network Analysis stage there is the most influential account, namely influencer @alvinline21 with 1402 nodes.
Metode Multi Attribute Utility Theory (MAUT) dalam Keputusan Pengendalian Persediaan Obat dan Alat Kesehatan Retchi Puspita
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 3 (September 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v4i3.148

Abstract

Medicines and medical devices are one of the most important parts of a health service, so it is necessary to guarantee the availability of drugs and medical devices for treatment so that the process can run effectively and efficiently. The shortage of medicines and medical devices is a significant public health problem, especially for medicines and medical devices associated with life-threatening conditions. Meanwhile, inventory that is too large will increase investment funds and increase risks such as loss, expiration and damage to drugs. For this reason, this study aims to make decisions on controlling the supply of drugs and medical devices so that they can be guaranteed in sufficient quantities by supporting decisions using the MAUT method. The data used in this study is the amount of inventory that runs out per day, per week, per month and a lot of inventory per day, per week, per month. The results of this study are expected that the Multi Attribute Utility Theory (MAUT) method can assist pharmacists in making decisions on controlling drug supplies and medical devices very well. So this research is very appropriate in controlling the supply of drugs and medical devices in pharmacies.
Pemodelan dan Simulasi Monte Carlo dalam Identifikasi Kebutuhan Bahan Bakar Minyak (BBM) Sherly Agustini
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 3 (September 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v4i3.149

Abstract

Abstrak Saat ini PT Ismadi Salam Batam dalam menjalankan penjualan BBM belum menggunakan simulasi perhitungan kebutuhan persediaan BBM di SPBU untuk pengambilan keputusan pimpinan, hal ini menyebabkan sering terjadi kekosongan stok di masing-masing SPBU. karena itu penulis tertarik membuat sebuah system pemodelan simulasi perhitungan persediaan BBM menggunakan metode Monte Carlo dan Pola LCM. Tujuan dari penelitian ini nantinya untuk mensimulasikan perhitungan penjualan BBM dengan cara membandingkan penjualan BBM pada bulan-bulan sebelumnya untuk memprediksikan ketersediaan BBM dibulan berikutnya agar pihak manajemen tau berapa banyak stok BBM yang harus disediakan di masing-masing SPBU. Metode pengumpulan data yang digunakan pada penelitian ini adalah wawancara, observasi, dan studi pustaka. Metode pengembangan sistem yang digunakan adalah waterfall dengan pemodelan UML (Unified Model Language) yang terdiri dari use case diagram, activity diagram, sequence diagram dan class diagram. Sistem dirancang menggunakan Bahasa Pemrograman JAVA. Kata kunci: BBM, Identifikasi, Simulasi, Optimalisasi, Monte Carlo, PT Ismadi Salam
End-User Computing Satisfaction dalam Menganalisis Tingkat Kepuasan Pengguna Sistem Informasi Akademik Irwanzar
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 3 (September 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v4i3.150

Abstract

Universitas Terbuka (UT) merupakan Perguruan Tinggi Negeri dengan Sistem Belajar Jarak Jauh yang berdiri sejak tahun 1984, saat ini jumlah mahasiswa aktif lebih dari 340.000 gabungan dari seluruh Unit Program Belajar Jarak Jauh (UPBJJ) Se-Indonesia, diantaranya lebih dari 8.000 Mahasiswa aktif pada UPBJJ UT Pekanbaru. Sistem informasi akademik (SIA) Universitas Terbuka dengan alamat https://sia.ut.ac.id merupakan salah satu aplikasi yang diperuntukan buat mahasiswa untuk memenuhi kebutuhan layanan akademik dan untuk calon Mahasiswa baru yang ingin mendaftar ke UT. Pada semester 2021/22.2 atau masa registrasi 2022.1 (Des 2021 - Sekarang) SIA UT melakukan pembaharuan platform semula versi 4G bertranformasi ke 5G. Sejak masa pandemi Mahasiswa UT lebih aktif dalam menggunakan SIA UT dan Calon mahasiswa UT wajib mendaftar secara online tanpa harus datang ke kantor UPBJJ UT, dimana biasanya Mahasiswa banyak datang ke kantor UPBJJ UT untuk melakukkan registrasi matakuliah, lihat nilai serta layanan akademik lain dibantu oleh staf UT. Tujuan Penelitian ini dilakukkan untuk mengukur tingkat kepuasan pengguna pada SIA UT. Metode End User Computing Satisfation (EUCS) merupakan metode yang digunakan pada penelitian ini, untuk mengukur tingkat kepuasan pengguna pada atribut diantaranya Content, Accurary, Format, Ease of Use, dan Timeliness., berdasarkan data analisis didapatkan dari penilaian atribut Content 53%, Accurary 50%, Format 50%, Ease of Use 50%, dan Timeliness 51%. Hasil dari data analisis bisa disimpulkan bahwa persentase tertinggi pengguna SIA UT menyatakan puas pada atribut content dan ada beberapa atribut yang lain masih dalam kategori Bagus

Page 7 of 62 | Total Record : 616

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