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International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS)
Published by CV. RADJA PUBLIKA
ISSN : -     EISSN : 28084713     DOI : https://doi.org/10.54443/ijebas
Core Subject : Economy,
Economics, Econometrics & Finance
This journal aims to examine new breakthroughs and current issues regarding advances in science and technology in the fields of Economics, Business, Sharia Administration, Accounting and Agriculture Management
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekonomi, Ekonometrika dan Keuangan (Lain-Lain)
Articles 1,109 Documents
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THE EFFECT OF DIGITAL MARKETING ON CUSTOMER LOYALTY WITH CUSTOMER SATISFACTION AS AN INTERVENING VARIABLE AMONG E-COMMERCE USERS IN MEDAN CITY Ami Natuz Zahara; Henry Aspan; Ari Prabowo; Etty Sri Wahyuni
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 6 No. 4 (2026): August
Publisher : CV. Radja Publika

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Abstract

This study aims to analyze the effect of digital marketing on customer loyalty with customer satisfaction as an intervening variable among e-commerce users in Medan City. A quantitative approach was applied using non-probability sampling, specifically purposive sampling. The sample consisted of 130 respondents who are active e-commerce users in Medan City and have made at least three online transactions in the past six months. Data were collected through online questionnaires using a five-point Likert scale and analyzed using Structural Equation Modeling-Partial Least Square (SEM-PLS) with SmartPLS 4.0 software. The results show that: (1) digital marketing has a positive and significant effect on customer satisfaction (β = 0.718; p < 0.001); (2) customer satisfaction has a positive and significant effect on customer loyalty (β = 0.524; p < 0.001); (3) digital marketing has a positive and significant effect on customer loyalty (β = 0.289; p < 0.001); and (4) customer satisfaction partially mediates the effect of digital marketing on customer loyalty (β = 0.376; p < 0.001). The implication is that e-commerce actors serving the Medan City market need to optimize the digital marketing dimensions, namely cost, interactive, incentive program, site design, and informative, to build customer satisfaction, which will ultimately foster long-term customer loyalty.
UTILIZATION OF LEARNING MANAGEMENT SYSTEM IN GEOGRAPHY LEARNING: A CASE STUDY OF GRADE X STUDENTS AT SMA COKROAMINOTO MADIUN, INDONESIA Ajeng Tiara Sekaring Kusuma
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 6 No. 4 (2026): August
Publisher : CV. Radja Publika

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Abstract

The rapid development of information technology has encouraged educational institutions to integrate digital learning platforms into classroom instruction. One of the most widely implemented platforms is the Learning Management System (LMS), which facilitates online learning activities, learning resource management, communication, and assessment. This study aims to describe the utilization of the Learning Management System in Geography learning for Grade X students at SMA Cokroaminoto Madiun. The research employed a qualitative approach using a case study design. Data were collected through interviews, observations, and documentation involving geography teachers, students, and school administrators. Data analysis followed the Miles and Huberman model, consisting of data reduction, data display, and conclusion drawing. Data validity was ensured through source triangulation, technique triangulation, member checking, and peer debriefing. The findings indicate that the implementation of LMS supports geography learning through the provision of digital learning materials, online assignments, discussion forums, and electronic assessments. The LMS improves students' accessibility to learning resources, encourages independent learning, strengthens communication between teachers and students, and increases students' learning motivation. Nevertheless, several challenges remain, including unstable internet connectivity, differences in students' digital literacy, and the need for more interactive learning content. The study concludes that the Learning Management System is an effective learning medium for Geography education and contributes positively to improving learning quality and student engagement.
DATA-DRIVEN LEADERSHIP: A CONCEPTUAL REVIEW OF EVIDENCE-BASED MANAGEMENT AND DIGITAL TRANSFORMATION Gugun Sodik
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 5 No. 6 (2025): December
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21784834

Abstract

Data-driven leadership has become a strategic requirement as organizations face increasing data volume, technological disruption, and pressure for transparent decision-making. This article aims to synthesize the conceptual foundations, core pillars, implementation strategies, practical applications, and principal challenges of data-driven leadership. A narrative conceptual review was conducted using foundational works on evidence-based management, digital leadership, data literacy, analytics, and technology-enabled organizational transformation. The analysis integrates three complementary perspectives: Evidence-Based Management, the Digital Leadership Framework, and Data-Driven Decision-Making. The synthesis identifies five essential pillars: accurate data collection, data analysis and visualization, evidence-based decisions, cross-functional collaboration, and data ethics and security. Effective implementation follows a continuous pathway comprising data culture development, investment in analytical technology, data literacy training, security governance, and monitoring and evaluation. Illustrative cases involving Google, Amazon, Gojek, and Telkom Indonesia demonstrate how leaders can convert data into improvements in workforce management, supply chains, platform operations, and service personalization. The article concludes that data-driven leadership does not replace managerial judgment; it strengthens judgment through valid evidence, technological capability, ethical governance, and organizational learning.
Assistive Technology and Educational Outcomes among Students with Visual Impairment: A Review of Emerging Trends Mr. Hasan Deen Khan; Dheeraj Kumar Nagar
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 6 No. 5 (2026): October (ON-PROGRESS)
Publisher : CV. Radja Publika

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Abstract

Assistive technology has transformed the educational landscape for students with visual impairment, expanding access to print, mathematics, graphics, and independent navigation in ways that were unimaginable a generation ago. This paper reviews the trajectory of assistive technology development for learners who are blind or have low vision, tracing the shift from analog tools such as slates, styluses, and braillewriters to contemporary digital ecosystems built around screen readers, refreshable Braille displays, optical character recognition, and artificial-intelligence-driven image description. It examines the empirical evidence linking assistive technology use to educational outcomes, including literacy development, mathematics achievement, and independent participation in mainstream classrooms, while also addressing persistent barriers such as cost, training gaps, device abandonment, and inequitable access across regions and socioeconomic groups. The paper further considers emerging trends, including AI-based scene description, tactile graphics generation, and multimodal learning tools, and discusses their implications for future practice. It concludes that technology alone does not guarantee improved outcomes; rather, outcomes depend on the integration of technology within a broader instructional framework that includes explicit skills training, ongoing technical support, and collaboration between teachers of students with visual impairment and general educators.
SUBOPTIMAL LAND MANAGEMENT TO INCREASE RICE PRODUCTIVITY Ali Jamil; Nurhayati
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 6 No. 5 (2026): October (ON-PROGRESS)
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21805773

Abstract

Suboptimal land is a strategic resource with great potential to support increased rice production in Indonesia amidst the increasingly limited area of productive rice fields due to land conversion, environmental degradation, and the pressures of climate change. This land includes acidic drylands (Ultisols and Oxisols), tidal swamps, lowlands, peatlands, saline lands, and other marginal lands that face various constraints, such as high acidity levels, low soil fertility, aluminum (Al) and iron (Fe) poisoning, salinity, and limited water availability. Various research results published in accredited national journals and reputable international journals show that rice productivity on suboptimal land can be increased through the implementation of integrated land management. These strategies include the use of ameliorants such as lime, dolomite, biochar, and gypsum to improve soil chemical properties, the addition of organic matter to improve the physical and biological quality of the soil, the application of balanced fertilization based on location specific, the use of rice varieties adaptive to environmental stress, efficient water management, and the use of biofertilizers and functional microorganisms to increase nutrient uptake efficiency. In addition, the development of sensor-based precision agriculture technology, the Internet of Things (IoT), remote sensing, drones, and artificial intelligence ( AI ) opens up new opportunities for more effective and sustainable land management. This review article aims to synthesize the results of recent research on suboptimal land management to increase rice productivity, identify research gaps , and formulate directions for the development of technology that is adaptive to climate change. The results of the study indicate that the application of integrated management technology can increase rice productivity, improve soil quality, increase input efficiency, and support the creation of a sustainable and climate-resilient rice production system.
IMPROVING FEEDLOT EFFICIENCY AND PROFITABILITY THROUGH STRATEGIC INVESTMENT EVALUATION OF JAKARTA'S STATE-OWNED FEEDLOT Afan Wahyu Syafii; Sylviana Maya Damayanti
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 6 No. 5 (2026): October (ON-PROGRESS)
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21884551

Abstract

Indonesia meets only 55–60% of national beef demand through domestic production, with the remainder sourced from live feeder cattle imports. This paper assesses the financial viability of an integrated investment program to upgrade the physical and management capabilities of the Serang Feedlot of Perumda Dharma Jaya. As part of its role as a Regional State-Owned Enterprise of the DKI Jakarta Provincial Government, this feedlot is responsible for processing the majority of live feeder cattle imported into Indonesia. Due to high costs associated with importing live animals, it has become imperative for Indonesia to develop greater efficiency in utilizing these resources domestically. Despite being the first point of contact for all imported cattle prior to their entry into the human food chain, Indonesian feedlots have historically performed poorly compared to global averages when measured by such performance metrics as average daily weight gain (ADG), percent feed cost per head and space usage per head. The proposed combined investment program includes upgrading pens (pen expansion); total mixed ration (TMR) feeding systems (mechanizing TMR); and a feed inventory system (bulk feed storage). It is based on a 10 year financial projection of cash flows using historical operating data provided by the facility over a 3-year period. In addition to performing a traditional cost benefit analysis and Monte Carlo risk analysis of projected returns on investment (ROI), this research also performs PESTLE analyses and SWOT/TOWS strategic analyses. A total of 13 sensitivity analyses were conducted to test the impact of potential future changes in input prices and/or facility operating conditions. Under the base-case assumptions (including 60% equity and 40% loan financing structure; weighted average cost of capital 12.0%) the total investment outlay will generate a net present value of IDR 349.9 Billion and an internal rate of return (IRR) of approximately 83.97% over the 10 year planning period. Based upon the Monte Carlo simulation results there is 100% confidence level that the expected net present value will be positive. With respect to the sensitivity analyses, all thirteen possible combinations of either increased or decreased costs or reduced or enhanced operation efficiencies resulted in both positive expected values for ROI and rates of return on investment above the respective costs of capital. These results provide evidence that poor performance in this facility is due to a combination of avoidable internal factors rather than non-controllable external factors and that the application of a formalized process-based evaluation model can provide a basis for identifying feasible solutions, justifying those solutions and implementing them.
CLIMATE DYNAMICS AND AGRICULTURAL SECTOR PERFORMANCE IN INDONESIA: A PROVINCIAL PANEL DATA ANALYSIS Rian Hilmawan; Siti Amalia; Farah Diba Muna
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 6 No. 5 (2026): October (ON-PROGRESS)
Publisher : CV. Radja Publika

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This study examines the effect of climate dynamics on agricultural sector performance in Indonesia using province-level panel data for the period 2014–2023. Employing panel regression estimations under several specifications, the analysis investigates whether average temperature and rainy-day frequency, as the main climate-related variables, are associated with real agricultural Gross Regional Domestic Product (GRDP), which captures the market value in the food and horticultural crop subsectors. The empirical results indicate that temperature is the most robust climate-related predictor of agricultural GRDP across model specifications. By contrast, the effect of rainy-day frequency is more sensitive to the inclusion of year fixed effects, suggesting that rainfall-related effects may be influenced by common annual shocks or broader time-specific conditions. Population is generally positively associated with real agricultural GRDP, although its magnitude weakens after accounting for year effects. Overall, the Driscoll–Kraay estimations confirm that temperature remains a consistent predictor of agricultural GRDP, while the estimated effects of rainy days, land cover, and population are more dependent on model specification, particularly the treatment of year fixed effects.
COMBINATION OF SHOTS NUMBER MAINTENANCE AND STEM BENDING TECHNIQUES ON THE GROWTH AND YIELD OF TOMATO PLANTS (Solanum lycopersicum) Muhammad Jaelani; Ferdianto Samudra; Lisa Navitasari
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 6 No. 5 (2026): October (ON-PROGRESS)
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Abstract

This study aims to determine the effect of a combination of shoot number maintenance and stem bending techniques on the growth and production of tomato plants ( Solanum lycopersicum ) variety Servo F1, analyze the feasibility of farming, and design the dissemination of research results to farmers. The study used a factorial randomized block design (RAK) with two factors: shoot number maintenance (all shoots, 1 shoot , 2 shoots, and 3 shoots) and stem bending techniques (without bending and bent). Data were analyzed using ANOVA at the 5% level and continued with Duncan's test. The results showed that the treatment of shoot number maintenance significantly affected plant height only at 63 days after planting, with the treatment without shoot restriction producing the tallest plants (129.17 cm). Stem bending treatment did not significantly affect plant height or number of leaves, but significantly affected fruit weight and number of fruits. There was a significant interaction between shoot maintenance and stem bending. to heavy fruit (total harvest ) and number fruit . The A1B0 combination (1 shoot, without layering) produced the highest total fruit weight (1.1950 kg/planting season). Financial feasibility analysis at a scale of 1,000 m² showed that all treatments were feasible with an R/C Ratio > 1, and A1B0 provided the highest efficiency (R/C = 3.53; net profit Rp26,994,500). Dissemination to 20 farmers through video media proved effective with an average N-Gain of 0.51 (Medium category).
ANALYSIS OF ECONOMIC GROWTH IMPACT ON THE PHENOMENON OF RURAL–URBAN MIGRATION AT JAVA ISLAND Ridhowati; Nurlaela
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 6 No. 5 (2026): October (ON-PROGRESS)
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Abstract

Urbanization represents a major phenomenon in the trajectory of economic development, particularly in developing economies. Over the last two decades, Indonesia has experienced a considerable rise in the proportion of people living in urban areas, especially on the island of Java, which serves as the core of the country’s economic activities. This research aims to examine the effect of regional economic growth on rural–urban migration within Java. A quantitative research design was applied using panel data regression covering six provinces at Java during the period 2015–2024. The study analyzed several variables, including regional economic growth, open unemployment rate, and average years of schooling, while income inequality was incorporated as a control variable affecting migration from rural to urban areas. Secondary data were collected from official publications of the Central Bureau of Statistics and processed using a panel regression approach with the Fixed Effect Model (FEM). The empirical results reveal that economic growth significantly and positively affects rural–urban migration in Java. Educational attainment also contributes positively to population mobility, whereas unemployment demonstrates a negative relationship with migration flows to urban regions. These findings suggest that the concentration of economic activities in urban centers acts as a strong pull factor for labor originating from rural areas. Consequently, policies promoting more balanced regional development are necessary to mitigate excessive urbanization pressure in major cities across Java.
DIGITAL HUMAN RESOURCE MANAGEMENT IN PUBLIC SECTOR ORGANIZATIONS IN BORDER AREAS: A SYSTEMATIC REVIEW OF ADOPTION DRIVERS, BARRIERS, AND ORGANIZATIONAL OUTCOMES Jurianto Gambir; Maria Cristiana Iman Kalis; M. Irfani Hendri
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 6 No. 5 (2026): October (ON-PROGRESS)
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Digital transformation in the public sector has encouraged the use of Digital Human Resource Management (Digital HRM) as a strategic instrument for improving organizational efficiency and the quality of public services. Nevertheless, the available studies remain fragmented and have not yet provided a comprehensive synthesis of the relationships among adoption drivers, implementation barriers, and organizational outcomes, particularly in border areas that often face infrastructure and resource constraints. This study conducts a systematic literature review (SLR) to examine the role of Digital HRM in shaping organizational outcomes in the public sector and to identify the factors that influence its successful implementation. It also investigates the drivers and barriers affecting the adoption process. The review follows the PRISMA guidelines and uses Scopus as the primary database. Of the 320 articles identified at the initial stage, 60 remained after preliminary screening, and 30 empirical studies that met the inclusion criteria were analyzed in depth. The quality of each study was assessed using the Mixed Methods Appraisal Tool (MMAT), while the evidence was synthesized through thematic analysis. The findings show that Digital HRM adoption is influenced by technological, organizational, human, and institutional factors. Perceived usefulness, organizational readiness, and leadership support emerged as the most significant drivers, whereas resistance to change, inadequate infrastructure, and digital skills gaps were the most frequently reported barriers. Digital HRM was found to improve operational efficiency, service quality, employee performance, and the quality of decision-making. However, these relationships are often mediated by employee engagement and knowledge sharing. In border areas, limited connectivity and resources are particularly important in determining implementation effectiveness. This study contributes a more integrated synthesis of the relationships among drivers, barriers, and organizational outcomes in public-sector Digital HRM. By positioning border areas as the analytical context, it also broadens a theoretical perspective that has received limited attention. The findings are expected to support the development of Digital HRM policies and implementation strategies that are more responsive to field conditions and capable of adapting to existing constraints.

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