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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 17 Documents
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Search results for , issue "Vol. 7, No. 1 (March 2025)" : 17 Documents clear
Pengaruh Strategi Pameran dan Penjualan Pribadi terhadap Penjualan Jasa Trucking PT Amerta Jaya Usahatama Alamsyah, Kemal; Astuti, Budi
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 1 (March 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i1.1086

Abstract

PT Amerta Jaya Usahatama sebagai perusahaan yang bergerak dalam bidang jasa pengiriman harus selalu mempunyai tujuan untuk berkembang. Tujuan tersebut dapat dicapai melalui upaya untuk dapat mempertahankan dan meningkatkan tingkat keuntungan atau laba operasional perusahaan melalui pengimplementasian stratergi pemasaran yang tepat. Penelitian ini bertujuan untuk menganalisis pengaruh strategi pameran dan penjualan pribadi terhadap penjualan di PT Amerta Jaya Usahatama dengan menganalisis media pemasaran yang digunakan yaitu media promosi pameran, dan penjualan pribadi. Jenis metode yang digunakan dalam penelitian ini adalah kualitatif deskriptif serta teknik pengumpulan data yang digunakan ialah wawancara, observasi, dan dokumentasi. Hasil penelitian menunjukkan bahwa setelah dilakukannya pameran dan penjualan pribadi yang dilakukan oleh PT Amerta Jaya Usahatama mengalami peningkatan dalam penjualan. Hal ini membuktikan bahwa dengan adanya pameran dan penjualan pribadi memberikan dampak yang signifikan terhadap penjualan pada tahun 2023.
A Comparative Analysis of Machine Learning Models for Obesity Prediction Airlangga, Gregorius
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 1 (March 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i1.1089

Abstract

Obesity is a global health challenge with significant implications for public health systems and individual well-being. Predictive modeling using machine learning (ML) offers a powerful approach to identify individuals at risk of obesity and inform early intervention strategies. This study evaluates the performance of ten ML models, including Logistic Regression, Support Vector Machines, Decision Trees, K-Nearest Neighbors, Naive Bayes, Random Forest, Gradient Boosting, AdaBoost, XGBoost, and LightGBM, in predicting obesity using a publicly available dataset. A rigorous preprocessing pipeline, incorporating missing value handling, categorical encoding, normalization, and outlier detection, was applied to ensure data quality and compatibility with ML algorithms. Performance metrics such as accuracy, precision, recall, and F1-score were evaluated using 10-fold stratified cross-validation. Among the models, LightGBM demonstrated the highest test accuracy (99.19%) and F1-score (99.20%), outperforming Gradient Boosting and Random Forest, which also showed competitive results. The study highlights the superior predictive capabilities of ensemble methods while underscoring the trade-offs between model complexity and interpretability. Logistic Regression provided a strong baseline, demonstrating the importance of preprocessing, but was outperformed by advanced ensemble techniques. This research contributes to the growing field of ML-driven healthcare solutions, offering valuable insights into the strengths and limitations of various predictive models. The findings support the integration of advanced ML techniques in public health systems and pave the way for future research on hybrid and explainable models for obesity prediction and management.
A Comparative Analysis of Deep Learning Architectures for Obesity Classification Using Structured Data Airlangga, Gregorius
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 1 (March 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i1.1090

Abstract

Obesity is a significant global health concern, necessitating accurate and efficient diagnostic tools to classify individuals based on obesity levels. This study investigates the performance of five deep learning architectures: Multilayer Perceptron (MLP), Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Bidirectional LSTM (BiLSTM) in classifying obesity levels using structured data. The dataset comprises clinical, demographic, and lifestyle features, and is preprocessed through normalization, label encoding, and Synthetic Minority Oversampling Technique (SMOTE) to address class imbalance. Each model was evaluated using accuracy, precision, recall, and F1-score metrics under stratified 10-fold cross-validation. The results indicate that MLP achieved the highest performance across all metrics, with an accuracy of 99.05%, followed closely by CNN at 98.77%. Sequential models, including LSTM, GRU, and BiLSTM, exhibited comparatively lower performance, achieving accuracies of 83.80%, 86.59%, and 86.78%, respectively. The superior performance of MLP and CNN underscores their suitability for structured datasets with static features, while the sequential models struggled due to the lack of temporal dependencies in the data. This study highlights the importance of aligning model architecture with dataset characteristics for optimal performance. The findings suggest that MLP and CNN are effective choices for obesity classification tasks, providing robust and computationally efficient solutions. Future work could explore hybrid models and incorporate temporal features to enhance the performance of sequential architecture.
Determinants of Continued Use of Agile Methods: A Case Study of an E-Commerce Enabler in Indonesia Prisillia, Galuh; Raharjo , Teguh; Trisnawaty, Ni Wayan
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 1 (March 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i1.1052

Abstract

Agile methodologies have gained popularity for their adaptability, faster time-to-market, and enhanced customer satisfaction. However, sustaining their use post-adoption poses challenges, including knowledge gaps, resistance to change, and communication issues. This study examines the determinants of continued use of Agile methods at PT XYZ, an e-commerce enabler in Indonesia. Using the Expectation Confirmation Model and Partial Least Squares Structural Equation Modeling, data from 61 IT staff members were analyzed to evaluate relationships between Confirmation, Perceived Usefulness, Satisfaction, and Continuance Intention. Results reveal that CO positively impacts PU and SA, while PU and SA significantly influence CI. Satisfaction emerges as a critical mediator between perceived value and continued use. These findings highlight the importance of aligning Agile practices with user expectations and perceived benefits to ensure sustained adoption. Practical implications include the need for comprehensive training, regular evaluations of team satisfaction, and organizational alignment with Agile principles.
Determinan Variabel Makroekonomi terhadap Indeks Saham Syariah Indonesia Sari, Linda; Asngari, Imam; Yunisvita
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 1 (March 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i1.1079

Abstract

This study analyzes the influence of macroeconomic variable determinants, namely inflation, exchange rates, profit-sharing, and economic growth, on the Indonesia Sharia Stock Index (ISSI). Using the Error Correction Model (ECM) method, this research identifies both short-term and long-term relationships between these variables. Data were obtained from the Financial Services Authority (OJK), the Indonesia Stock Exchange (BEI), and the Central Statistics Agency (BPS) during the period of 2012–2022. The results indicate that exchange rates and economic growth have a significant impact on the ISSI in both the short and long term. However, inflation does not show a significant effect in either time frame. This study provides important implications for investors and policymakers in understanding the dynamics of the sharia capital market in Indonesia.
Optimalisasi Pemanfaatan Transportasi Udara Bandara Aek Godang dan Bandara Jenderal Besar AH Nasution untuk di Sumatera Utara Akbar, Bill; N, Zulkifli
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 1 (March 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i1.1080

Abstract

This study aims to evaluate the utilisation and development potential of Aek Godang Airport in North Padang Lawas Regency and JB AH Nasution Airport in Mandailing Natal Regency in supporting regional air transport in North Sumatra. The method used is SWOT analysis with AHP weighting to determine development priorities. The results showed that JB AH Nasution Airport has greater external opportunities with an EFAS score of 3.94, while Aek Godang Airport excels in internal strengths with an IFAS score of 4.03. This research focuses more on the supply side, highlighting the infrastructure readiness of both airports. JB AH Nasution Airport is recommended to be developed as a primary airport with a focus on long-haul and international routes, while Aek Godang Airport is geared as a secondary airport for regional routes and cargo logistics. Synergy between the two airports is essential to create an efficient air transport system and support sustainable regional economic growth.
Analisis Ketimpangan Pengeluaran Konsumsi Antar Kabupaten/Kota di Sumatera Selatan Rifki, Muhammad; Marwa, Taufiq; Yulianita, Anna
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 1 (March 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i1.1081

Abstract

This research aims to analyze the inequality of per capita consumption expenditure in South Sumatra, the influence of per capita GRDP, education level, population dependency ratio, and Human Development Index among districts/cities in South Sumatra during the period 2012-2023. The research method used is quantitative, with a regression analysis approach to test hypotheses about the relationship between the mentioned variables. Data were obtained from official sources of the South Sumatra Statistics Indonesia (BPS), covering consumption expenditure inequality, education level percentage, population dependency ratio, and the Human Development Index. The results of the analysis show that districts/cities in South Sumatra are categorized as moderately unequal between 0.25-0.35, however, Pali Regency, Musi Rawas Utara Regency, and Musi Rawas Regency have low inequality values < 0.25, while Palembang City and Lubuk Linggau City are almost approaching the very unequal criteria with values of 0.34 and 0.33 respectively. In the estimation of the multiple regression model from 4 (four) independent variables, there are 3 (three) variables that significantly influence per capita consumption expenditure, namely: Population Education Percentage (ED), Population Dependency Ratio (DR), and Human Development Index (IPM).
Pengaruh Pelatihan, Reward, dan Lingkungan Kerja terhadap Kinerja Karyawan Pada PT Metal Hitech Engineering Firnanda, Novia; Baskoro, Heru
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 1 (March 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i1.1087

Abstract

This study aims to analyze the effect of training, rewards, and work environment on employee performance at PT Metal Hitech Engineering. In an era of ever-changing business, it is important for companies to improve the quality of human resources in order to compete effectively. The method used in this study is a quantitative approach with data collection through questionnaires distributed to employees. The sample taken was 64 respondents with a nonprobability sampling technique. The data analysis technique used was multiple linear regression analysis and partial hypothesis testing (t-test) using SPSS 25. The results of the study showed that the independent variable, namely training (X1) partially did not have a significant effect on employee performance (Y), while the Reward (X2) and Work Environment (X3) variables partially had a significant effect on employee performance (Y). The conclusion of this study confirms that to improve employee performance, companies need to optimize training programs, provide appropriate rewards, and create a conducive work environment. This study is expected to be a reference for companies in formulating strategies to improve employee performance and provide insight for further research that is relevant to this topic.
Pengaruh Kompensasi, Motivasi, dan Lingkungan Kerja Fisik terhadap Kinerja Karyawan Pada PT. Pacific Angkasa Abadi Firdhausiah, Fitri; Baskoro, Heru
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 1 (March 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i1.1088

Abstract

This study aims to analyze the effect of compensation, motivation, and physical work environment on employee performance at PT. Pacific Angkasa Abadi, a manufacturing company engaged in the iron pipe and pipe fitting industry. The background of this study is based on the problem of declining employee performance as seen from work output that does not meet the set targets. The method used in this study is quantitative analysis with data collection through questionnaires distributed to employees. The number of samples used in this study was 56 respondents with a saturated sampling technique. The data obtained were then analyzed using multiple linear regression analysis and partial hypothesis testing using SPSS 25 to determine the effect of each variable on employee performance. The results of the study showed that there was a positive and significant effect between compensation and employee performance, which is in line with previous studies showing that compensation contributes to increased performance. Motivation has a positive and significant effect on employee performance, in addition, the physical work environment has a positive and significant effect on employee performance. All variables play an important role in improving employee performance, which is a key factor in achieving company goals. The conclusion of this study confirms that companies need to pay attention to aspects of compensation, motivation, and the physical work environment to improve overall employee performance.
Pengembangan Game Simulasi Motorik untuk Anak Sekolah Dasar SDN 230 Palembang Khadafi, Muammar; Ariandi, Muhamad
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 1 (March 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i1.1094

Abstract

Games are popular technologies used for entertainment, and educational games combine play with learning to enhance concentration and thinking skills. This research addresses the lack of engaging learning media for first-grade students at SDN 230 Palembang and the prevalence of non-educational games. The study develops an educational game called Image Matching, aimed at teaching animal and fruit names while improving fine motor skills. The game, Animal Detective, is a puzzle game where students guess animal names based on pictures and descriptions. Using the System Development Life Cycle method, including planning, analysis, design, development, and testing with the Black Box method, this game serves as an interactive learning media. Results show that it effectively improves motor skills and knowledge about animals and fruits. The game is expected to provide engaging education and entertainment for first-grade students at SDN 230 Palembang.

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