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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 45 Documents
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Search results for , issue "Vol. 6, No. 1 (March 2024)" : 45 Documents clear
Factors Affecting Repurchase Intention Novita, Wanda; Toar, Yandri Ardolof
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.v5i4.733

Abstract

This research endeavors to scrutinize the determinants influencing consumers' satisfaction for repurchasing intention on the Shopee platform, with customer satisfaction posited as an intermediary variable. Employing a quantitative methodology, data from respondents were collected through a google form survey. The sampling strategy involved convenience sampling, yielding a cohort of 102 participants. Data analysis was executed using a partial least squares structural equation model (PLS-SEM), validated through SmartPls 3.0. The findings indicated that delivery service, brand reputation, and cashback promotions exerted a favorable impact on customer satisfaction, thereby positively influencing repurchase intentions. Moreover, customer satisfaction emerged as a mediating factor in the correlation between service delivery and repurchase intentions, as well as between cashback promotions and repurchase intentions.
Pengaruh Gaya Kepemimpinan terhadap Kinerja Karyawan dengan Komunikasi sebagai Variabel Antara Firmansyah, Deni; Winarto, Jacinta
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.v6i1.780

Abstract

Human resources have a strategic role in the organization and need to be managed properly to achieve organizational effectiveness and efficiency. Leadership style has a significant influence on employee performance. Communication is also an important factor affecting employee performance. The aims of this study were to determine the effect of leadership style on employee performance, effect of leadership style on communication, the effect of communication on employee performance, and the effect of leadership style on employee performance with communication as an intervening variabel. This study involved employees of the Faculty of Medicine, Maranataha Christian University who were used as research samples. Structural Equation Model - Partial Least Square (SEM-PLS) is a data processing method used because the research conducted involves a small sample size with a minimum sample size in the range of 30 - 100 samples. Based on the results of the research conducted, it shows that leadership style has no effect on employee performance, leadership style has a positive and significant effect on communication, communication has a positive and significant effect on employee performance, and leadership style has a positive and significant effect on employee performance with communication as an intermediate var
Penerapan Sistem Informasi Akuntansi Siklus Penggajian pada PT Bintang Makmur Sumarwanti, Aprilia; Wicaksono, Achmad
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.v6i1.781

Abstract

Tujuan dilakukannya penelitian ini : (1) untuk memahami penerapan sistem informasi akuntansi siklus penggajian pada PT. Bintang Makmur; (2) untuk mengevaluasi pengendalian internal pada siklus terkait berdasarkan teori. Riset ini menggunakan metode kualitatif. Data dikumpulkan oleh peneliti dengan menggunakan teknik observasi, wawancara dan dokumentasi. Data yang diperoleh kemudian dilakukan analisis melalui tahapan pengumpulan data, reduksi data, penyajian data dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa PT. Bintang Makmur sudah menggunakan sistem pencatatan waktu hadir otomatis menggunakan fingerprint, kemudian ditarik dan diolah menggunakan Excel. Namun masih terdapat pihak-pihak yang melakukan rangkap tugas (double jobs) dan belum ada pemisahan tugas antar berbagai fungsi. Fungsi kepegawaian melakukan rangkap tugas dengan fungsi pembuat daftar gaji. Fungsi keuangan melakukan rangkap tugas dengan fungsi accounting. Adapun saat pengecekan daftar gaji hanya dilakukan oleh staf keuangan dan langsung di kirim ke rekening karyawan masing-masing, tidak terlebih dahulu diberikan kepada direktur utama untuk dilakukan otorisasi.
Influencer Marketing Strategies and Brand Image in Boosting Consumer Purchase Intent: The Role of Customer Support Intervention Sandra, Jana; Indrayanti, Sri; Suryana, Ade
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.v6i1.788

Abstract

This research explores the intricate relationships among influencer marketing strategies, brand image, customer support, and consumer purchase intent within the operational framework of PT. Len Industri (Persero) - Jakarta Office. Through path analysis, the study discerns direct and indirect effects, revealing significant findings. Marketing Strategies exhibit a notable direct impact on both Customer Support and Consumer Purchase Intent, underscoring the centrality of effective marketing initiatives in shaping customer interactions and purchase decisions. Conversely, Brand Image reveals a non-significant direct effect on Customer Support but demonstrates a marginally significant impact on Consumer Purchase Intent, indicating a nuanced relationship that warrants further investigation. The indirect effects analysis highlights the substantial influence of Marketing Strategies on Consumer Purchase Intent mediated by Customer Support. These findings underscore the importance of a holistic approach, integrating marketing strategies, brand image cultivation, and effective customer support to enhance overall consumer experiences and drive purchase intent in a competitive market landscape.
The Impact of Personal Financial Management and Emotional Intelligence on Financial Well-being with The Mediation of Risk Management Attitude Effendi, Marwan; Herlianti, Elva; Harsuti, H
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.v6i1.789

Abstract

This study investigates the intricate relationships among personal financial management, emotional intelligence, risk management attitude, and financial well-being. The study employs a random sampling technique with a sample size of 41 individuals from Bank Mandiri KCP Solo Slamet Riyadi. Path analysis, using the SmartPLS software, is utilized to explore direct and indirect effects. The results reveal a significant positive impact of personal financial management on risk management attitude and financial well-being. However, emotional intelligence is not found to be a significant predictor of risk management attitude or financial well-being. The study concludes that effective personal financial management practices play a crucial role in enhancing financial well-being, both directly and indirectly through influencing risk management attitudes. These findings provide insights for interventions and educational programs aimed at improving individuals' financial resilience and satisfaction by emphasizing responsible financial habits and decision-making.
Kewajaran Pengalokasian Anggaran Berbasis Analisis Standar Belanja (ASB) pada Pemerintah Kota Padang Sari, Putri Intan Permata; Suryadi, Dodi
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.v6i1.791

Abstract

This research aims to analyze the fairness of expenditure in Coordination activities and Preparation of Performance Achievement Reports and Overview of SKPD Performance Realization using the Standard Expenditure Analysis (ASB) method in the Padang City Government for Fiscal Year 2022. Of the 43 SKPDs in the Padang City Government, only 19 SKPDs are can continue to be researched. The stages of preparing the ASB are by inputting data and grouping similar data, determining cost drivers, creating a regression equation, determining the average, upper limit and lower limit, and analyzing the reasonableness of the costs of the ASB model that has been prepared. As for the preparation of the ASB model using SPSS with the regression equation obtained is Y = Rp 7,116,556+86,035X, where Based on this equation, there are 5 underfinancing SKPDs, 6 overfinancing SKPDs, and 8 SKPDs that get fair value.
The Impact of Rastra-BPNT Assistance on Household Food Expenditure Patterns and Poverty Status in Indonesia Fardian, M Iqbal; Nazer, M; Muharja, Fajri
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.v6i1.794

Abstract

This study uses Susenas March 2019 raw data in a cross-section of 34 provinces and 514 districts/cities in Indonesia with a coverage of 315,672 households, designed using a quasi-experiment on the treatment group and control group after program implementation. The treatment group was formed by beneficiary families while the control group was formed by non-beneficiary families. The sample of beneficiaries was 50,485 or 9,845,922 households if calculated with Susenas weighting (65.55% of the total 2019 realization of 15,020,323 national beneficiaries) and non-beneficiaries were 181,358 households. The data were analyzed using a probit regression model and impact estimation was conducted using the Propensity Score Matching (PSM) approach. The results suggest that education level is a bigger determinant for households to become Rastra-BPNT beneficiaries, especially for household heads who did not finish primary school and those who graduated from primary school. Rastra-BPNT food social assistance has a significant and positively correlated impact on beneficiary families with a pattern of food proportion to total expenditure > 50%. There was a shift in the food consumption budget share for Beneficiary Families in several dominant commodities such as grains; eggs and milk; processed food and beverages; and cigarettes, tobacco and betel. The distribution of Rastra-BPNT from November 2018 to February 2019 can reduce the gap between household groups, but there are still errors in the distribution of benefits.
Analysis and Comparison of Machine Learning Techniques for DDoS Attack Classification in Network Environments 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.v6i1.795

Abstract

This research presents a comparative analysis of machine learning techniques for classifying Distributed Denial of Service (DDoS) attacks within network traffic. We evaluated the performance of three algorithms: Logistic Regression, Decision Tree, and Random Forest, including their scaled-feature counterparts. The study utilized a robust methodology incorporating advanced data preprocessing, feature engineering, and Synthetic Minority Over-sampling Technique (SMOTE) to address class imbalance. The models were rigorously tested using a cross-validation framework, assessing their accuracy, precision, recall, and F1 score. Results indicated that the Random Forest algorithm outperformed the others, demonstrating superior predictive accuracy and consistency, albeit with higher computational costs. Logistic Regression, when feature-scaled, showed significant improvement in performance, highlighting the importance of data normalization in models sensitive to feature scaling. Decision Trees provided a quick and interpretable model, though slightly less accurate than the Random Forest. The research findings highlight the trade-offs between predictive performance and computational efficiency in selecting machine learning models for cybersecurity applications. The study contributes to the cybersecurity domain by elucidating the efficacy of ensemble techniques in DDoS attack classification and underscores the potential for model improvement through scaling and data balancing.
Dynamics of Employee Engagement and Implementation of Adaptive Leadership in Increasing Work Productivity: The Mediating Role of Job Satisfaction Sjahruddin, Herman; Sari, Desi Permata; Hakiki, Ridwan
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.v6i1.796

Abstract

This study investigates the intricate dynamics of employee engagement, adaptive leadership, job satisfaction, and work productivity within the organizational context of PT Gangking Raya office in Makassar. Through a sample of 47 individuals, the study employs a rigorous analysis using SmartPLS to examine both direct and indirect relationships among these key variables. The results indicate a significant positive impact of employee engagement on job satisfaction and work productivity, emphasizing the pivotal role of an engaged workforce. While adaptive leadership shows a positive association with job satisfaction, its direct influence on work productivity is not statistically significant. Notably, job satisfaction emerges as a significant mediator between both employee engagement and adaptive leadership with work productivity. This suggests that cultivating high job satisfaction levels is crucial in maximizing the positive outcomes of employee engagement and adaptive leadership on overall work productivity. These findings offer valuable insights for organizational strategies, underscoring the importance of fostering employee engagement, adaptive leadership practices, and job satisfaction for a thriving and productive workplace environment at PT Gangking Raya.
Aplikasi Pengenalan Sejarah dan Kebudayaan Peradaban Mesir Kuno Berbasis Augmented Reality dalam Perekonomian Masyarakat Prayoga, Pramana Andi; Zakariyah, Muhammad
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.v6i1.798

Abstract

Ancient Egypt is an ancient civilization in northeastern Africa, centered on the lower reaches of the Nile River, an area that is now the country of Egypt. There are many historical remains from ancient Egyptian civilization. One of the famous remains of ancient Egyptian civilization is the Giza pyramid. The Pyramids of Giza are the greatest masterpieces ever created by humans in ancient times. The magnitude of the ancient Egyptian civilization makes many people interested in knowing information about this civilization. To make it easier to find out information about the ancient Egyptian civilization, an application was built with Augmented Reality technology. This application design uses the SDLC method which consists of analysis, design, programming, testing, operation and maintenance stages. This application was built by utilizing various software such as Unity 3D, Vuforia Engine, and Blender to create 3D models. This application development uses the C# programming language. This research succeeded in producing an Augmented Reality application designed for the Android platform. This application is able to display information in the form of text and 3D objects to users. The application trial was carried out using the Black Box Testing and User Acceptance method, involving 5 respondents who gave ratings from 1 to 5. The test results showed that users could use this application smoothly and the application ran according to user expectations.

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