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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 50 Documents
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Search results for , issue "Vol. 7, No. 3 (September 2025)" : 50 Documents clear
The Effectiveness of Social Media Use Shapes the Satisfaction in Digital Business Bayti, Nur; Sihombing, Brylyan Raymundo; Firdiyansyah, Indra
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1239

Abstract

The objective of this study is to investigate the effectiveness of social media influence the satisfaction to assess the extent to which students at the Faculty of Economics and Maritime Business, Raja Ali Haji Maritime University (FEBM UMRAH), in running a digital business. The rapid digital transformation and development of social media have created new entrepreneurial opportunities for students. The success of a digital business does not only depend on how often social media is used, but also on how effectively it is utilized. This study adopts a quantitative approach. Data were collected through a survey involving 88 active FEBM UMRAH students who have a digital business. The data were analyzed using multiple linear regression with the SPSS version 26 software. The results show that both the use and effectiveness of social media significantly and positively influence students' satisfaction in digital business. This influence was proven to be strong when tested both partially and simultaneously. These findings have important implications. For educational institutions, it is recommended to enhance digital marketing training programs. For students, the results of this study can serve as a guide to optimize their use of social media for the advancement of their digital businesses.
Gastronomic Tourism as an Innovative Strategy to Increase the Attractiveness of Tourist Destinations Juniarta, Pande Putu; Suta, Putu Wira Parama
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1240

Abstract

This study explores gastronomic tourism as an innovative strategy to enhance the attractiveness of tourist destinations. As experiential tourism gains prominence, local culinary experiences have emerged as powerful tools for cultural engagement and destination differentiation. The objective of this research is to examine how gastronomic elements such as traditional dishes, culinary storytelling, and participatory food activities influence tourists’ perceptions, emotional connections, and behavioral intentions. A qualitative method using a systematic literature review was employed, drawing on peer reviewed sources from 2020 to 2024 across disciplines including tourism, marketing, and cultural studies. The analysis identifies four key dimensions destination image, emotional engagement, policy integration, and development challenges as critical to the success of culinary tourism strategies. The findings show that gastronomy contributes not only to sensory satisfaction but also to cultural identity formation and emotional bonding, particularly when integrated with tourism policy frameworks. However, challenges such as limited local capacity and policy fragmentation persist in emerging destinations. The study concludes that strategic incorporation of gastronomy into tourism development can drive sustainability, competitiveness, and cultural preservation. Recommendations for future research include empirical validation and inclusive policy design to empower local communities through food based tourism.
Penerapan Data Mining dengan Algoritma C4.5 dan K-nearest Neighbor untuk Prediksi Penjualan Bahan Bangunan Terlaris Surojudin, Nurhadi; Danny, Muhtajuddin
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1241

Abstract

The main problem faced by PT. Surya Kapuas Perkasa is the difficulty in accurately determining the types of building materials with the highest sales levels. Currently, stock determination still relies on manual estimates based on previous sales trends, which are prone to errors and inaccuracies. As a result, the company often faces the risk of overstocking products that are less in demand, or understocking products that are actually in high demand. This condition can impact the sales process, increase storage costs, and reduce customer satisfaction. To overcome this problem, a method is needed that can predict the sales of the best-selling building materials more objectively and based on historical data. This prediction will utilize sales data from the past three years by applying data mining classification techniques using the C4.5 algorithm and K-Nearest Neighbor (K-NN) through the RapidMiner application. With this approach, the company can accurately identify the types of building materials that are most in demand in the market, allowing for more precise and efficient stock management. Based on the research results, four types of building materials were found to be the best-selling out of a total of 16 types analyzed: Light Steel, Brick, Iron, and Cement, with a prediction accuracy rate of 87.16%.
Prediksi Penjualan Brand di HGVR Store Menggunakan Algoritma C4.5 dan Naïve Bayes Naya, Candra; Rilvani, Elkin
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1242

Abstract

HGVR Brand is a creative industry engaged in the production and distribution of ready-to-wear clothing established in 2015, which has a reseller network in several major cities in Java. This study aims to analyze the prediction of HGVR Store product sales levels using data mining methods, specifically the C4.5 and Naïve Bayes algorithms, so that it can assist the company in determining marketing strategies and inventory management. The data used in this study consists of 500 sales data collected in June 2019 through observation, interviews, and internal company documentation. The input variables used include the number of orders (PO), quantity, price, and sales status, while the target variable is the classification of sales into "high" and "low" categories. The analysis process is carried out through the stages of data cleaning, transformation, and validation using the split validation technique (70% training data and 30% testing data). The C4.5 algorithm is used to build a decision tree model, while the Naïve Bayes algorithm is used to calculate the classification probability. The test results show that the C4.5 algorithm has a 100% accuracy rate with an excellent classification category based on the ROC curve (AUC = 1.00). Meanwhile, the Naïve Bayes algorithm also produced good classification results, although its accuracy was lower than that of C4.5. The conclusion of this study is that the C4.5 algorithm is more optimal than Naïve Bayes in predicting sales levels at the HGVR Store. These findings are expected to inform decision-making for the HGVR Brand in formulating business strategies.
Pengaruh Penerapan Teknologi Informasi dan Audit Internal terhadap Efektivitas Pengendalian Internal Persediaan Pada PT Sejahtera Berkat Mandiri Hutasoit, Marni; Riftiasari, Dinar; Ridwan, Achmad
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1257

Abstract

This study is motivated by the ineffective internal control of inventory at PT Sejahtera Berkat Mandiri, which is attributed to the use of relatively basic technology and the suboptimal performance of internal auditors. This study aims to analyze the influence of information technology implementation and internal audit on the effectiveness of inventory internal control at PT Sejahtera Berkat Mandiri. The research is grounded in issues faced by the company, namely discrepancies between physical stock and system records, limited integration of information technology, and insufficient and non-comprehensive internal audit practices. A quantitative research method with a causal approach was employed. The study sample consisted of 75 respondents selected using total sampling technique. Data were collected through questionnaires and analyzed using multiple linear regression tests. The results show that the implementation of information technology significantly affects the effectiveness of inventory internal control, with a significance value of 0.000 and a regression coefficient of 0.827. Internal audit also has a significant influence on the effectiveness of inventory internal control, with a significance value of 0.000 and a regression coefficient of 0.461. Furthermore, the simultaneous implementation of information technology and internal audit significantly influences the effectiveness of inventory internal control, with a significance value of 0.000.
Hubungan Brand Awareness dan Customer Value terhadap Purchase Decision Motor Honda oleh Masyarakat Kabupaten Sanggau Meiliana, Karwinda; Santika, Dewi
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1258

Abstract

This study aims to develop a conceptual model to examine the influence of brand awareness and customer value on the purchase decision of Honda motorcycles among consumers in Sanggau Regency. The population in this study includes all Honda motorcycle users in the area, although the exact number is unknown. A total of 135 respondents were selected using a strata quota sampling technique with a purposive sampling approach. Data were collected through questionnaires and interviews, then analyzed using multiple linear regression with the assistance of SPSS software. The findings reveal that both brand awareness and customer value have a positive and significant effect on purchase decisions, both individually and simultaneously. The resulting regression model is Y = 0.313X1 + 0.535X2, indicating that these two variables jointly explain a substantial portion of consumer purchasing behavior toward Honda motorcycles in the region. These results highlight that brand strength and perceived product value remain critical components in formulating effective marketing strategies.
Development of an Integrated Web-Based Quality Control Dashboard for Automated Sorting Data Monitoring Yusmadi, Yudies; Pramudito, Dendy K; Muhidin, Asep
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1268

Abstract

This study supports the development of a web-based Quality Control (QC) dashboard designed to improve the monitoring of product sorting data in manufacturing process. The impetus comes from the fact that traditional methods of capturing data by hand are very likely to be incorrect, slow, and cause problems with managing data. Currently, sorting results are still written down on physical log sheets which often leads to delays in reporting, puts records at risk of being lost or destroyed, and makes it harder to analyze data in real time. The study uses the Agile Development method to fix these problems, with a focus on iterative design, getting input from stakeholders, and making improvements all the time. The proposed dashboard will include several basic features, such as the ability to enter sorting results digitally, interactive data visualization in both graphical and tabular formats, automatic quality control report generation, and user management through role-based access control. These features are expected to turn data into useful information, which will allow the QC team to quickly make decisions based on evidence that enhance product quality. Web programming utilizes modern web technologies such as Laravel framework for backend processing, JavaScript, HTML, CSS, and Bootstrap to make responsive the user interface. Utilization of open-source technologies is meant to ensure that the system may grow and be maintained while keeping installation costs low.
The Role of Financial Accounting in Measuring the Impact of ESG Disclosure on Firm Value Perdana, Buyung Cahya; Dewianawati, Dwi; Indrianto, Dian; Setiawan, Erry
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1271

Abstract

This study examines the mediating role of financial accounting in the relationship between ESG disclosure and firm value. The sample consists of 82 firm-year observations from non-financial companies listed on the Indonesia Stock Exchange (IDX) between 2018 and 2023. Firm value is measured using Tobin’s Q, Price-to-Book Value, and Market-to-Book Ratio. ESG disclosure is assessed using Bloomberg/Refinitiv ESG scores and Global Reporting Initiative (GRI)-based content analysis. Financial accounting is proxied by earnings quality, value relevance, timeliness, and conservatism. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS software. The results show that ESG disclosure has a significant positive effect on both financial accounting and firm value. Financial accounting also has a significant positive effect on firm value and mediates the ESG–firm value relationship. The findings confirm that ESG disclosure contributes to firm valuation when accompanied by credible financial accounting practices. This study contributes to the sustainable finance literature by identifying the role of financial accounting as a mediator and provides practical insights for managers and regulators to strengthen integrated reporting practices.
The Impact of Hedonic Shopping Motivation, Live Streaming, and Flash Sales on Impulse Buying Behavior: A Study of Shopee E-Commerce Users in Semarang Imamah, Istihabil; Zusrony, Edwin; Anzie, Luthfy Purnanta
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1272

Abstract

Hedonic shopping motivation, live streaming e-commerce, and flash sales together can lead to impulsive purchasing. This research focuses on the impacts of hedonic shopping and live stream flash sales on impulse buying on the Shopee e-commerce platform of the millennial population. This is primarily quantitative research, which exploits associative methodology based on primary data. The primary sample includes about 50 respondents, ranging from 18 to 35 years, and currently located in Semarang Regency, Indonesia. The 50 ‘target’ respondents were collected using purposive sampling techniques. The data were collected via online questionnaires based on a 5-Likert scale. Data were analysed using multiple linear regression and SmartPLS 4.1.1.2, from which the final thesis was confirmed. According to the outcomes of the study, the 4 hypotheses were accepted and confirmed. The data shows that the 3 chosen independent variables do, in fact, promote impulse buying on the Shopee platform. Then simultaneously, it was found that the hedonic shopping motivation, live streaming, and flash sale variables had an effect on impulse buying.
Pengaruh Opini Audit Tahun Sebelumnya dan Solvabilitas terhadap Opini Audit Going Concern pada Perusahaan Manufaktur yang Terdaftar di Bursa Efek Indonesia Septiana, Gina; Haryadi, Teddy; Fani, Lastri Anggi; Dewi, Mike Kusuma; Meirina, Elsa
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1276

Abstract

Going concern is an assumption in accounting that estimates a business entity will continue in the long term and will not be liquidated in the short term. This research aims to analyze the audit opinion going concern through some factors: previous year’s audit opinion and solvability. This research use manufacturing sector companies listed in Indonesia Stock Exchange between 2017 -2023 as the sample. Population of this research is 128 companies. Research sample amounts to 50 companies selected with purpose sampling method, with observation period of 7 years. The method that been used to analysis the correlation between variable are logistic regression method. The results showed that partially, previous year’s audit opinion negatively affecting going-concern audit opinion. While the solvability positive influence on going-concern audit opinion.

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