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INDONESIA
Jurnal Informatika Ekonomi Bisnis
Published by Asia Pacific Network for Sustainable Agriculture, Food and Energy
ISSN : 27148491     EISSN : 27148491     DOI : https://doi.org/10.37034/infeb
Core Subject : Economy,
Economics, Econometrics & Finance
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.
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekonomi, Ekonometrika dan Keuangan (Lain-Lain)
Articles 625 Documents
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Behavior Intention Penggunaan Digital Payment QRIS Berdasarkan Model Unified Theory of Acceptance and Use of Technology Pamungkas, Yogi; Rahmayanti, Dewi
Jurnal Informatika Ekonomi Bisnis Vol. 6, No. 1 (March 2024)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v6i1.846

Abstract

Indonesia is experiencing technological developments which can be seen from the increasing number of internet users. This technological development also occurs in the field of financial services or Financial Technology. This research aims to determine the behavioral intentions of the general public in Bengkulu in using digital payments called QRIS (Quick Response Code Indonesian Standard) with the Unified Theory of Acceptance and Use of Technology (UTAUT). The research method is quantitative using primary data whose population is the general public in Bengkulu with a sample of 102 respondents. Data analysis used the SPSS program multiple analysis method. The research results show that work expectations, business expectations, social influence, facilitating conditions, perceived value, and Personal Innovativeness influence the behavioral intentions of the general public in Bengkulu in using digital payments called QRIS. Furthermore, based on calculations, it is known that these 6 variables have a simultaneous influence of 98.3% on behavioral intentions. The remaining 1.7% is influenced by other factors not examined in this study.
The Influence of the Mobile Legends E-Sport Phenomenon on Student Financial Behavior Wijaya, Galuh Ayu; Santi, Fitri
Jurnal Informatika Ekonomi Bisnis Vol. 6, No. 1 (March 2024)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v6i1.852

Abstract

This research aims to examine the influence of the Mobile Legends e-sport phenomenon on student financial behavior. Using a quantitative approach, this research collected data from a number of respondents who were active students and also Mobile Legends players. Data analysis was carried out using statistical methods to find out whether there was a significant relationship between the hobby of playing Mobile Legends and students' financial management. The research results show that there is a significant influence of the Mobile Legends e-sports phenomenon on student financial behavior. Students who actively play Mobile Legends tend to have poor financial behavior compared to students who don't play e-sports. This research provides new insights into the impact of online games on broader aspects of life, especially in the context of personal financial management.
Optimizing Machine Learning Models for Urinary Tract Infection Diagnostics: A Comparative Study of Logistic Regression and Random Forest Airlangga, Gregorius
Jurnal Informatika Ekonomi Bisnis Vol. 6, No. 1 (March 2024)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v6i1.854

Abstract

Urinary Tract Infections (UTIs) present a significant healthcare challenge due to their prevalence and diagnostic complexity. Timely and accurate diagnosis is critical for effective treatment, yet traditional methods like microbial cultures and urinalysis are often slow and inconsistent. This study introduces machine learning (ML) as a transformative solution for UTI diagnostics, particularly focusing on logistic regression and random forest models renowned for their interpretability and robustness. We conducted a meticulous hyperparameter tuning process using a rich dataset from a clinic in Northern Mindanao, Philippines, incorporating demographic, clinical, and urinalysis data. Our research outlines a detailed methodology for applying and refining these ML models to predict UTI outcomes accurately. Through comprehensive hyperparameter optimization, we enhanced the predictive performance, demonstrating a significant improvement over standard diagnostic practice. The findings reveal a clear superiority of the random forest model, achieving a top testing accuracy of 0.9814, compared to the best-performing logistic regression model's accuracy of 0.7626. This comparative analysis not only validates the efficacy of ML in medical diagnostics but also emphasizes the potential clinical impact of these models in real-world settings. The study contributes to the burgeoning literature on ML applications in healthcare by providing a blueprint for optimizing ML models for clinical use, particularly in diagnosing UTIs. It underscores the promise of ML in augmenting diagnostic precision, thereby potentially reducing the global healthcare burden associated with UTIs.
Efficacy of Machine Learning Techniques in Diagnosing Urinary Tract Infections: A Study Utilizing a Philippine Clinical Dataset Airlangga, Gregorius
Jurnal Informatika Ekonomi Bisnis Vol. 6, No. 1 (March 2024)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v6i1.855

Abstract

This research delves into the potential of machine learning models, namely Support Vector Machine (SVM), XGBoost, and LightGBM, to enhance the diagnosis of Urinary Tract Infections (UTIs) based on a comprehensive dataset collected from a local clinic in Northern Mindanao, Philippines, spanning from April 2020 to January 2023. The study integrates clinical variables such as age, gender, and various urine test results including color, transparency, and the presence of substances like glucose, protein, and cells, to determine the most accurate diagnostic model. The dataset presented unique preprocessing challenges, such as converting infant ages into decimal numbers. The SVM with a linear kernel showed remarkable test accuracy of 98.25%, indicating its robustness in handling linear separability in the data. Meanwhile, XGBoost and LightGBM, both with optimal hyperparameter configurations, achieved comparable accuracies of 97.95%. These results underscore the significance of machine learning in medical diagnostics, particularly in settings where swift and reliable decision-making is crucial. Our findings suggest that while ensemble methods like XGBoost and LightGBM are powerful tools for complex datasets, a well-tuned SVM can provide superior accuracy, thus advocating for a data-centric approach in model selection.
Pengaruh Kualitas Produk terhadap Keputusan Pembelian pada PT. Elco Indonesia Sejahtera Syaifuddin, S
Jurnal Informatika Ekonomi Bisnis Vol. 6, No. 1 (March 2024)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v6i1.856

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh kualitas produk terhadap keputusan pembelian pada PT. Elco Indonesia Sejahtera. Dengan mengumpulkan data dari 68 responden melalui kuesioner, penelitian ini menggunakan analisis statistik seperti koefisien korelasi, koefisien determinasi, dan uji hipotesis T untuk mengevaluasi dan mengukur hubungan antara variabel kualitas produk dengan keputusan pembelian. Hasil penelitian menunjukkan terdapat hubungan yang signifikan dan positif antara kualitas produk dengan keputusan pembelian. Koefisien korelasi yang tinggi menunjukkan bahwa peningkatan kualitas produk memberikan kontribusi yang kuat terhadap peningkatan keputusan pembelian, begitu pula sebaliknya. Dengan koefisien determinasi sebesar 50,7%, kualitas produk mempunyai pengaruh yang besar terhadap variasi keputusan pembelian konsumen. Uji hipotesis T membuktikan adanya signifikansi positif pengaruh kualitas produk terhadap keputusan pembelian, dengan nilai t hitung jauh melebihi nilai t tabel. Oleh karena itu dapat disimpulkan bahwa kualitas produk berpengaruh positif dan signifikan terhadap keputusan pembelian pada PT. Elco Indonesia Sejahtera. Temuan ini memberikan landasan empiris yang kuat bagi perusahaan untuk fokus pada peningkatan kualitas produk sebagai strategi pemasaran yang efektif. Dengan memahami kuatnya pengaruh kualitas produk terhadap keputusan pembelian, PT. Elco Indonesia Sejahtera dapat merancang langkah-langkah yang lebih tepat sasaran untuk memperkuat posisi mereka di pasar, meningkatkan kepuasan konsumen, dan mencapai pertumbuhan bisnis yang berkelanjutan.
Optimalisasi Output: Menggali Pengaruh Disiplin Kerja terhadap Prestasi Kerja PD Nurlia di Tengah Revolusi Industri Yakin, Ipa Hafsiah
Jurnal Informatika Ekonomi Bisnis Vol. 6, No. 2 (June 2024)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v6i2.857

Abstract

Penelitian ini bertujuan untuk menginvestigasi hubungan antara disiplin kerja dan prestasi kerja di PD Nurlia dalam konteks revolusi industri. Melalui analisis statistik yang meliputi koefisien korelasi, koefisien determinasi, dan uji t, temuan penelitian mengungkapkan bahwa terdapat hubungan yang signifikan antara disiplin kerja dan prestasi kerja karyawan. Hasil menunjukkan bahwa peningkatan dalam disiplin kerja memiliki dampak positif yang signifikan terhadap prestasi kerja, meskipun ada juga faktor-faktor lain yang mempengaruhi kinerja yang perlu dipertimbangkan. Implikasi dari temuan ini adalah bahwa manajemen perlu memperkuat upaya untuk meningkatkan disiplin kerja karyawan sebagai strategi untuk mengoptimalkan output perusahaan di tengah-tengah dinamika revolusi industri. Dengan memahami dan mengelola hubungan antara disiplin kerja dan prestasi kerja, perusahaan dapat mengembangkan strategi yang lebih holistik dan efektif untuk meningkatkan kinerja dan mempertahankan daya saing dalam pasar yang kompetitif.
Analysis and Design of Web-Based Mobile Library Services from an Economic Perspective Aminudin; Abinowi, Egi; Andini, Khansa Nurul; Sri, Resti Dewi; Dzulfiqor, Haliatul Aulia
Jurnal Informatika Ekonomi Bisnis Vol. 6, No. 1 (March 2024)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v6i1.858

Abstract

A library is an institution or institution that provides a collection of written, printed and recorded library materials as a central source of information which is regulated according to standard systems and rules and utilized for educational purposes, research, information dissemination and intellectual recreation for the community. In modern life, libraries need to provide accurate and equitable information services to the entire community, not only around regional library buildings, whether in Provincial/Regency/City Libraries but also to communities whose residences are far from the reach of library buildings. So that people in these areas can enjoy information services to increase their knowledge, libraries must be in their environment. To build a library building requires quite a lot of money, so to overcome this, the Bandung City Archives and Library Service provides suitable facilities, namely the Mobile Library. A mobile library is a library where reading materials are carried around from one place to another, services to the community are carried out directly in the place where the mobile library is located. The aims of this research are to analyze the needs for mobile library service website features; Find out visitor reports and the distribution of areas visited by Disarpus using graphs. The research stages that will be carried out include an initial survey, determining the problem formulation, determining research methods, data processing and analysis, and creating a final report.
Analysis of Proposed Avtur Rental Rates at Hang Nadim Airport, Batam Santoso, Heru; Chandrasari, Ayu Zahra
Jurnal Informatika Ekonomi Bisnis Vol. 6, No. 1 (March 2024)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v6i1.859

Abstract

Hang Nadim Airport and the infrastructure for providing and distributing aircraft fuel (Fuel Distribution System/FDS) are also reliable. This infrastructure has been built by BP Batam for refueling aircraft operating at Hang Nadim airport. This FDS is in the form of a network of pipes and storage tanks that stretches from Kabil Harbor, Hang Nadim Aircraft Filling Depot (DPPU) to the Hang Nadim airport apron. As the FDS infrastructure developer and area manager as well as a public service agency, BP Batam will determine the value (appraisal) of rental rates for Hang Nadim Airport aviation fuel FDS assets which are the management rights of BP Batam in order to improve services to customers and the community and increase regional competitiveness in accordance with the main tasks and its function.
Development of Digital Collections in Libraries and Archives in The Development of Economic Science in Bandung Abinowi, Egi; Aminudin; Dzulfiqor, Haliatul Aulia; Sri, Resti Dewi; Andini, Khansa Nurul
Jurnal Informatika Ekonomi Bisnis Vol. 6, No. 1 (March 2024)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v6i1.860

Abstract

With the rapid advancement of technology, libraries can now be accessed digitally. A digital library is an online or digital-based library that provides access to various types of books, journals, articles and other reading materials. Digital libraries provide services that allow users to read, download, or even search for specific materials they need without having to go to a physical library. Digital libraries can be accessed from anywhere and at any time, as long as there is an internet connection. In recent years, digital libraries have become increasingly popular due to their practicality and easy access to information and knowledge. The aim of this research is to develop library collections digitally; Facilitate access to information and knowledge from anywhere and at any time. Providing more effective and efficient library services using digital technology. Increasing the efficiency and effectiveness of library collection management.
Analisis Perilaku Komsumtif Remaja Terkait Adanya Diskon pada E-Commerce Shopee sebagai Motivasi Belanja Online Yuliana; Aziz, Abd; Aqidah, Waqi’atul
Jurnal Informatika Ekonomi Bisnis Vol. 6, No. 1 (March 2024)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v6i1.861

Abstract

This research aims to describe the reasons why teenagers have consumptive behavior related to discounts on Shopee e-commerce as motivation for online shopping, describe the factors that influence teenagers to behave consumptively related to discounts on Shopee e-commerce as online shopping motivation and describe ways to reduce teenagers' consumptive behavior. regarding discounts on E-Commerce Shopee as motivation for online shopping. This type of research is qualitative research with a case study design. The subjects in this research focused on teenagers in Seneng Village. The location of this research was in Seneng Village, Krucil District. The data collection techniques used were in-depth interviews, observation and documentation. The results of the research show that the reasons for adolescent consumptive behavior related to discounts on the E-Commerce Shoppe as motivation for online shopping include: personal needs and the influence of friends, factors that influence adolescent consumptive behavior related to discounts on the E-Commerce Shoppe as motivation for online shopping are influenced by: flash sales Big discounts or twin dates and free shipping vouchers, the way to reduce teenagers' consumptive behavior regarding discounts on Shopee E-Commerce as a motivation for online shopping is by having the intention to save money and prioritizing spending.

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