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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 706 Documents
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From Digital Interaction to Responsible Tourism: Unveiling the Mediating Role of Sustainable Destination Perception Altatit Dianawati; Haris Karyadi; Diah Nofitasari; Eko Yuliawan
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 2 (June 2026)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i2.1441

Abstract

This study examines the influence of digital engagement and environmental awareness on destination sustainability perception and its impact on responsible tourism behaviour among tourists visiting Karimunjawa Island, Indonesia. The research aims to analyse both direct and indirect relationships among the variables within the context of sustainable tourism. A quantitative approach was employed, using a survey of 201 respondents who had visited Karimunjawa within the last two years. Data were collected through an online questionnaire using purposive sampling techniques and analysed using Partial Least Squares Structural Equation Modelling. The results indicate that destination sustainability perception has a significant positive effect on responsible tourism behaviour. Digital engagement significantly influences perceptions of destination sustainability and indirectly affects responsible tourism through this mediating role. However, environmental awareness does not significantly affect destination sustainability perception, either directly or indirectly through mediation effects. These findings suggest that digital interaction and online tourism communication play a more dominant role in shaping perceptions of sustainable destinations and responsible tourism behaviour than environmental awareness alone. The study contributes to the sustainable tourism literature by integrating digital engagement, environmental awareness, destination sustainability perception, and responsible tourism into a comprehensive research model. Practically, the findings provide insights for tourism stakeholders in designing digital-based sustainability communication strategies to promote responsible tourism behaviour in island tourism destinations.
Digital Divide, Human Capital, and Employment Opportunities for Married Women Nur Haminati; Arif Zulkarnain; M Hamid; Rezi Setiawan
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 2 (June 2026)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i2.1442

Abstract

This study discusses the influence of the use of digital technology and human capital on the employment opportunities of married women in Riau Province. The scope of the study was focused on women of working age and married status by considering socioeconomic factors that may affect their participation in the labor market. The purpose of this study is to analyze whether the use of digital technology can increase the chances of married women to work, as well as identify other factors that play a role in women's decision to enter the job market. This study uses a quantitative approach with the logistic regression method. The data used was sourced from the National Labor Force Survey in August 2022 with 6347 observations of women's productive age and married status. The dependent variable in this study is the working status of married women, while the main independent variable is the use of digital technology and the purpose of using the internet for productive activities. Control variables included education, age, training, and area of residence. The results of the study show that the use of digital technology has a positive effect on the chances of married women to work. Although the use of digital devices increases employment opportunities, there is a digital divide in married women that the digital access obtained in general has not been used for the purpose of activities of economic value by married women. In addition, education and training also play an important role in increasing women's employment opportunities. The main conclusion of this study is that digital technology can be an important instrument in expanding women's access to job information, business opportunities, and productive economic activities if there is no digital divide caused by low digital literacy to the lack of understanding of married women in utilizing this access. Thus, these benefits need to be supported by increasing digital literacy, online skills improvement programs, digital-based entrepreneurship socialization and inclusive employment policies.
Fast Fashion Consumption Behavior According to Islamic Consumption Ethics and Sustainability Ighfirly Hariroh; Naili Jazilinni’am; Irham Zaki
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 2 (June 2026)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i2.1445

Abstract

This article discusses the growing phenomenon of fast fashion and how people's consumption patterns of fast fashion products are viewed from the perspective of Islamic consumption ethics and environmental sustainability. Fast fashion is often criticized for its impact on the environment and labor exploitation. In Islam, consumption should be balanced, not excessive, and should prioritize sustainability. This research is quantitative with an explanatory approach, aiming to explain the causal relationship between the variables studied. The type of data used in this study is primary data, in the form of information obtained directly from respondents through questionnaires. This article discusses the growing phenomenon of fast fashion and how people's consumption patterns of fast fashion products are reviewed from the perspective of Islamic consumption ethics and environmental sustainability. Fast fashion is often criticized for its impact on the environment and labor exploitation. In Islam, consumption should be balanced, not excessive, and pay attention to sustainability aspects. This research is quantitative with an explanatory approach, aiming to explain the causal relationship between the variables studied. The type of data used in this study is primary data in the form of information obtained directly from respondents through questionnaires.
Residents’ Support Intention through Event Attachment and Involvement in Urban Marathon Events Risca Fitri Ayuni; Rila Anggraeni; M Abdi Dzil Ikhram W; Putu Adi Putra Arimbawa; Nadiyah Hirfiyana Rosita; Lintang Ayu Farah Atsila
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 2 (June 2026)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i2.1449

Abstract

Urban marathon events are increasingly recognized as strategic tools for tourism promotion, city branding, and community engagement. Existing studies have predominantly focused on economic outcomes, with limited attention to how different levels of involvement perceive and respond to such events. This gap is important because residents’ support is critical to the long-term sustainability of recurring urban events, yet empirical evidence from the Indonesian context remains limited. This study aims to examine how multidimensional perceived benefits influence residents’ event attachment and support intention, while distinguishing between high- and low-involvement residents. This research employed a quantitative explanatory approach. The population consisted of residents living in marathon-hosting cities in Indonesia, and purposive sampling was used to select individuals aged 18 years and above who had knowledge of or exposure to the event. Data were collected from 320 residents across Jakarta, Bali, and Magelang and analyzed using Partial Least Squares Structural Equation Modeling and multi-group analysis in SmartPLS. The findings show that all perceived benefit dimensions significantly influence event attachment, with social and personal benefits emerging as the strongest predictors. Several key relationships were also found to be stronger among highly involved residents. These findings imply that marathon events should not only deliver visible benefits but also foster stronger emotional engagement and deeper resident involvement to build sustainable community support.
Digital Promotion, Technology, and Impulsive Buying Among Generation Z: An Islamic Finance Perspective Naili Jazilinni'am; Dina Fitrisia Septiarini; Rahmad Hidayat; M Habib Azhari
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 2 (June 2026)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i2.1451

Abstract

The development of digital technology has driven significant changes in consumer behavior, particularly among Generation Z. The ease of access to online shopping platforms has made this generation highly responsive to visual and emotional promotions, rendering them more susceptible to impulsive buying behavior. This study aims to analyze the influence of technology, promotion, and religiosity on impulsive buying behavior among Generation Z. This quantitative research employed a questionnaire distributed through online channels and collected responses from 173 participants in Indonesia. Data analysis and hypothesis testing were conducted using the Structural Equation Modeling (SEM) method. The results indicate that technology (β = 0.383) and promotion (β = 0.359) have a positive and significant effect on impulsive buying behavior. Meanwhile, religiosity (β = -0.103) shows a negative but statistically insignificant effect on impulsive buying behavior. These findings suggest that although religiosity may contribute to reducing impulsive buying tendencies, its influence is not strong enough to significantly affect purchasing behavior among Generation Z consumers in the digital environment.
An IoT Technology as Smart Water Management System for Family Medicinal Plants Muhammad Akmal Ar Rasid; Dendy K Pramudito; Amali
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 2 (June 2026)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i2.1455

Abstract

Watering of Family Medicinal Plants located in government institutions should not follow a regular interval. As they require adequate water to grow, over-watering can lead to wastage of water and can decrease efficiency in plant maintenance. The plants are typically watered by employees manually based on a schedule or by checking up on the plants. But, at times soil moisture can vary at any hour of the day and irrigation might not happen if a person is not available to check. There are chances of overwatering or underwatering the plants. In this paper we propose a system which uses Internet of Things to monitor the soil moisture level and make irrigation automated. NodeMCU ESP8,266 acts as the main controller of the system. A soil moisture sensor is used to sense the amount of water present in the medium where the plants are growing. A relay module is used to control the pump, a water pump is used to water the plants and finally an I2C LCD is used to display the real time information. We also use IoT Watering platform to display the monitoring data and control the system over internet. We performed field study, literature survey, requirement study, system design, implementation and testing of the prototype. The results showed that the system sensed the soil moisture levels and send the data to monitoring platform and display the data in real time. The water pump is used to water the plants automatically. If the moisture level falls below the threshold which is set in the system, the pump will switch on. If the moisture level is enough for the plants to survive, then the pump will switch off. This system allows us to have better control over watering of plants, measure the efficiency and make the process faster.
Impact of Ethics-Based Leadership, Organizational Conflict Management, Continuous Learning, and Employee Empowerment on Employee Performance Guswati; Sumiati
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 2 (June 2026)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i2.1459

Abstract

This study aims to analyze the influence of ethics-based leadership, organizational conflict management, continuous learning, and employee empowerment on employee performance at Imam Bonjol State Islamic University, Padang, both partially and simultaneously. This study uses a quantitative approach with a survey method. The population in this study were all employees of Imam Bonjol State Islamic University, Padang, with a sample of 70 respondents determined using a total sampling technique. Data were collected through questionnaires and analyzed using multiple linear regression analysis with the help of the SPSS program. The results of the study indicate that partially ethics-based leadership has a positive and significant effect on employee performance, organizational conflict management has a positive and significant effect on employee performance, continuous learning has a positive and significant effect on employee performance, and employee empowerment has a positive and significant effect on employee performance. Simultaneously, ethics-based leadership, organizational conflict management, continuous learning, and employee empowerment have a significant effect on employee performance. The coefficient of determination value of 0.650 indicates that 65% of the variation in employee performance can be explained by the four independent variables, while the rest is influenced by other factors outside the research model. The results of this study confirm that improving employee performance requires the implementation of ethical leadership, effective conflict management, strengthening a culture of continuous learning, and integrated and sustainable employee empowerment.
The Impact of Domestic Tourist Spending on the Economy of West Sumatra Province Arsenal Priadi; Elvina Primayesa
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 2 (June 2026)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i2.1460

Abstract

This study analyzes the impact of domestic tourist expenditure on the economy of West Sumatra Province using the Input-Output approach. The scope of the study is focused on sectors related to tourism activities, particularly intersectoral linkages and the formation of regional economic output. The objective of this study is to examine the development of domestic tourist expenditure, the patterns of forward and backward linkages among tourism-related sectors, and their contribution to the regional economy. This study uses secondary data from BPS, the Ministry of Tourism, and other related sources, with Leontief Input-Output analysis updated through the RAS method. The results show that the increase in the number of domestic tourist visits is not always followed by an increase in expenditure, so the resulting economic impact is not always optimal. Transportation, trade, accommodation, and food and beverage sectors play an important role in spreading multiplier effects to other sectors. Domestic tourist expenditure has strong potential to stimulate West Sumatra’s economic output, but its effectiveness is highly determined by the structure of intersectoral linkages and the level of tourist spending.
Web-Based Sales Forecasting Point-of-Sales System Using Simple Moving Average Method at Haka Farma Pharmacy Rifqi Herlambang; Dendy K Pramudito; Ernanto
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 2 (June 2026)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i2.1466

Abstract

POS-POS system is a POS which manages sales transactions, inventory, and daily sales reports at Haka Farma Pharmacy, but it has no sales forecasting capacity. Therefore, many judgment and judgment making processes often need to go through previous procurement to determine the inventory stocks. In order to resolve this issue, this study was aimed at creating a web-based POS system in combination with a sales forecasting component in conjunction with a simple moving average module. Development of the system is conducted using waterfall, which involves requirement analysis, system design, implementation, testing, and deployment of the system. The techniques employed were observational, staff interviews through pharmacy members, and through in-depth literature review. The system developed in PHP using the Laravel framework, was implemented through the MySQL database managers for system. The software's forecast module also uses SMA method to calculate the average sales volume over the last three months in order to estimate demand in the future. Functions testing and testing of system: user authentication, product management, sales transaction processing, reporting, forecasting, and error analysis were done. Testing results were not inconsistent with the specification; all the system related features were functioning as expected. From paracetamol sales data, we found a 253-unit rate expected for December 2025. The MAPE data shows strong forecasting in the form of 3.16% MAPE (Mean Absolute Percentage Error) indicating its predictive power in this study. This confirms that the developed forecasting module can assist in inventory planning, reducing uncertainty for all decision makers, and optimize operational efficiency with evidence-based control of stock in Haka Farma Pharmacy.
Comparative Analysis of LSTM and GRU Models for Predicting BBCA and BBNI Stock Prices Muhammad Irfansyah; Dendy K Pramudito; Sanudin
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 2 (June 2026)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i2.1467

Abstract

Stock price predictions always a challenging issue as the price data consists of variable, noisy, non-linear time dependence. This research aims as a testing ground to compare the performance of two deep learning algorithms, long short-term memory and gated recurrent units, in predicting the end price of PT Bank Central Asia Tbk, that is relatively stable compares to PT Bank Negara Indonesia Tbk which more volatile. Daily prices were obtained from Yahoo Finance over the previous period from January1, 2019 until Dec 1, 2025. Data cleaning, Min-Max normalization, 80:20 data split, and sequence-formation with a timestep of 60 were performed. To facilitate fair comparison and ensure that the performance differences are only due to architecture, both models were constructed with the same architecture (two layers of 50 units, 0.2 dropout, Adam optimizer, MSE loss function, and 50 epochs). It evaluated MSE, RMSE performance, MAE performance, R-squared with accuracy adjusted for a 5% tolerance range. The results suggest that GRU outperforms LSTM on both stocks. For the BBCA, GRU reached an RMSE of 101.12, MAE of 113.82, R-squared of 0.96, and tolerance accuracy of 98.52%, compared to BBNI which had an RMSE of 62.95, MAE of 71.24, R-squared of 0.92, and tolerance accuracy of 94.11%. This performance led us to realize that GRU is the numerical equivalent to this technique, and on both datasets, it was computationally faster. These results reveal that simpler GRU structure is more adaptive, especially with stocks of high volatility like BBNI.

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