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  • Influence of Economic Factors on The Share’s Value 

    Through the Concepts of the Life Cycle: The Case of Indonesia

    Authors: Linna Ismawati ; Inna Neskorodieva ; Svitlana Pustovhar

    DOI: 10.15549/jeecar.v10i1.1049

    Abstract

    The article aimed to substantiate the differentiated impact of critical internal factors of the economic activities on the market value of shares for joint-stock companies accounting for the organizational development cycle. Using the Company’s Financial Statements in the Automotive and Component subsectors listed on the Indonesia Stock Exchange for 2008-2021, the Chow test, path analysis, and t-criterion, we determined the features of the relationship between the share price and the economic performance indicators of joint-stock companies are determined. We used path analysis for modeling to assess the relationship between the price of shares and the number of dividend payments per share, asset turnover, and net profit per share built. A differentiated nature of the relationship between the indicators depending on the accounting company’s life cycle has been established. Knowing the stage of the business, the company can develop the most effective dividend strategy and determine the appropriate management method. © 2023, Institute of Eastern Europe and Central Asia. All rights reserved.

    Author Keywords

    economic factors; Indonesia; joint stock company; market value; organization life cycle; shares

    This article can be accessed at https://www.scopus.com/pages/publications/85146853855?

  • Banking Financial Performance in the Industry Financial Technology Era

    Banking Financial Performance in the Industry Financial Technology Era

    Authors: Suryanto Suryanto ; Herwan Abdul Muhyi ; Poni Sukaesih Kuirniati ; Nazar Mustapha

    DOI: 10.15549/jeecar.v9i5.1075

    Abstract

    This study aims to analyze the financial performance of Indonesian banks based on the Capital Adequacy Ratio (CAR), Operating Costs per Operating Income (BOPO), Loan to Deposit Ratio (LDR), Net Interest Margin (NIM), Return on Assets (ROA), and Non-Performing Loans (NPL). The research method used is verification with a quantitative approach. Sources of data obtained from the bank’s financial statements that have been published. The sample is grouped into state-owned banks, regional development banks, national private banks, and foreign banks. The sample is grouped into two parts, namely banking performance before and after the financial technology (fintech) regulatory family. The analysis technique used paired sample test and Wilcoxon signed-rank test. The results of the study stated that there were differences in CAR, LDR, NIM, ROA, and NPL after the ratification of fintech regulations. Meanwhile, only BOPO did not experience any difference with the issuance of fintech regulations. © 2022, Institute of Eastern Europe and Central Asia. All rights reserved.

    Author keywords

    banking performance; BOPO; CAR; Fintech; LDR; NIM; ROA

    This article can be accessed at: https://www.scopus.com/pages/publications/85142196466

  • Improving Local Economy Through Integrated Waste Management in Bandung City, Indonesia (Case Study of Sukasari District)

    Authors: Lia Warlina ; Wanjat Kastolani ; Senny Luckyardi ; Dina Oktafiani ; Daniel Francois Meyer

    DOI: 10.15549/jeecar.v9i5.1064

    Abstract

    In Bandung City, Indonesia, municipal solid waste was a significant problem. However, municipal waste has a good potency if the community can manage the waste. This study aims to assess the relationship between local economics and waste management research and how waste management has been implemented in Bandung City’s Sukasari District through fostering the local economy. The method used was a systematic literature review using VOSviewer and Harzing’s publish & perish software and documents and resource studies from Sukasari District Office. The results revealed that the waste bank improved household income, which affected the local economy. The study could also contribute to the works of literature in the field of waste management and help other developing-world cities with their waste problems. Furthermore, additional government assistance enhancing the waste bank’s operating system will lead to better waste management outcomes. © 2022, Institute of Eastern Europe and Central Asia. All rights reserved.

    Author keywords

    Bandung City; waste bank; local economy; Sukasari

    This article can be accessed at: https://www.scopus.com/pages/publications/85141199934

  • Determinant of Net Income in Indonesia Mining Companies

    Authors: Surtikanti, Asep Saepudin, Wati Aris Astuti

    DOI: 10.15549/jeecar.v10i4.1358

    Abstract

    This study empirically examined the impact of operational expenses, sales volume, and accounts payable on net income in Indonesian mining businesses. With a quantitative approach, this study employs both descriptive and verification approaches. Using a purposive sampling technique, 35 financial statements from 7 mining businesses were selected from a population of 100 financial statements. The results show that operational cost significantly affected net profit with negative relations, sales volume significantly affected net profit with positive relations, and payable significantly affected net profit with positive relations. The conclusion of this study states that net profit is more dominantly influenced by sales volume compared to operational costs and accounts payable. The impact of this research is that mining companies consider how to reduce operating costs and accounts payable and increase sales volume in company operations. © 2023, Institute of Eastern Europe and Central Asia. All rights reserved.

    Author keywords

    accounts payable; operational cost; sales volume

    This article can be accessed at https://www.scopus.com/pages/publications/85164113653

  • The Impact Of The Russia-Ukraine War On The European Union Economy

    The Impact Of The Russia-Ukraine War On The European Union Economy

    Author: Andrias Darmayadi ; Nikolay Megits

    DOI: 10.15549/jeecar.v10i1.1079

    Abstract

    This study aims to see the impact of the Russo-Ukrainian War on the European Union economy. It uses a qualitative descriptive method. This method answers research questions requiring an explanation and understanding of social activities due to the war. In this descriptive research, we evaluate aimed to evaluate the impact of the Russo-Ukrainian War on the European Union Economy. The results of this study indicate that the European Union’s economy was greatly affected by this war, starting from the disruption of trade relations between Russia and the European Union in all fields, especially in the energy sector, to the creation of high inflation rates in developing countries. With this, of course, the economy and stability in the European Union will be interrupted and causing an economic crisis in many European countries. © 2023, Institute of Eastern Europe and Central Asia. All rights reserved.

    Author keywords

    economy; European Union; Russia; Ukraine; war

    This article can be accessed at: https://www.scopus.com/pages/publications/85146896294

  • Enhancing Startup Business Performance Through Iterative Strategies and Lean Programs: Insights from Capital Cities in Indonesia to Unlock Central Asia’s Potential

    Author: Muhammad Fahreza Aulia ;Dini Turipanam Alamanda ; Ubaidillah Zuhdi ; Grisna Anggadwita ; Dinar Mariam Kurniati ; Eddy Soeryanto SOegoto

    DOI: 10.14453/aabfj.v18i4.13

    Abstract

    This study investigates the influence of the startup ecosystem on startup business performance in Capital Cities (Jakarta, Bogor, Depok, Tangerang, and Bekasi), emphasizing the roles of iterative incremental strategies and lean startup programs. This study also examines the similarities between Central Asian countries like Kazakhstan, Uzbekistan, and the Indonesia region. Central Asian countries face unique challenges, including less mature ecosystems, regulatory hurdles, and cultural attitudes toward entrepreneurship. Using Partial Least Squares Structural Equation Modeling (PLS-SEM) on data from startups aged 1-10 years, the research reveals that these strategies significantly mediate the relationship between ecosystem support and startup success, enhancing market optimization, innovation, and sustainability. Startups achieve better financial and nonfinancial outcomes by effectively leveraging ecosystem structures through agile methodologies. By drawing on capital city experiences, Central Asian policymakers can improve startup environments through robust support structures, regulatory clarity, and education on agile methodologies. This research offers a model for enhancing startup business performance via ecosystem support and strategic agility, informing policy and program development in other regions. © 2024, University of Wollongong. All rights reserved.

    Author keywords

    Iterative Strategies; Lean Startup Programs; Startup Business Performance; Startup Ecosystem

  • Comparative Study of K-Means and Mean Shift Clustering Algorithms for Waste Data in West Java Province

    Comparative Study of K-Means and Mean Shift Clustering Algorithms for Waste Data in West Java Province

    Author: Rony Setyawan ; Geraldi Catur Pamuji

    Abstract

    This study presents a comprehensive comparative analysis of the k-Means and Mean Shift clustering algorithms, utilizing waste data collected from West Java Province’s final disposal site spanning 2016 to 2021, with the primary objective of evaluating their performance and applicability for waste management practices; the analysis encompasses several critical parameters, including the number of clusters generated, variable uniformity, evaluation metrics employed, divergence measures, and processing time efficiency, revealing that k-Means, which formed three clusters, excels in rapid processing and provides finer cluster division, while Mean Shift, yielding two clusters, offers nuanced insights into data patterns, leading to the recommendation that the choice between the two algorithms should be driven by specific project requirements and considerations such as urgency of waste management needs and the depth of understanding desired for effective decision-making, thereby offering a tailored approach to waste data organization that optimizes categorization and contributes to more efficient and sustainable waste disposal practices in the future. © School of Engineering, Taylor’s University.

    Author keywords

    k-means clustering; Mean shift clustering; Waste data

  • The Role of Environmental Policy in Promoting Green Transportation Technologies

    The Role of Environmental Policy in Promoting Green Transportation Technologies

    Authors: Suthakavatin, Siphimvadee ; Shatila, Khodor ; Aydinyan, Karine ; Santy, Raeni Dwi

    DOI: 10.1051/bioconf/202414506013

    Abstract:

    This study explores the role of environmental policy in promoting the adoption of green transportation technologies, focusing on the effects of financial incentives, regulatory frameworks, and public investment in infrastructure across key Asian urban centres. The research highlights how technological innovation acts as a crucial mediator between policy measures and the adoption of sustainable transportation options such as electric vehicles (EVs) and hydrogen-powered vehicles. Using Structural Equation Modelling (SEM), the study examines the relationships between these factors, demonstrating that higher levels of financial incentives, supportive regulations, and strategic public investment lead to significant advancements in technological innovation, which in turn drives the adoption of green transportation technologies. The findings contribute to the broader understanding of sustainable urban mobility solutions and offer important insights for policymakers and industry stakeholders in regions experiencing rapid urbanization. The study also discusses the dual role of these policy drivers, both in directly influencing adoption and in fostering technological advancement. © The Authors, published by EDP Sciences.

  • Geospatial Intelligence Framework for BTS Infrastructure Planning Toward Universal Internet Access Target in Indonesia

    Geospatial Intelligence Framework for BTS Infrastructure Planning Toward Universal Internet Access Target in Indonesia

    Authors: Sakti, Anjar Dimara ; Ayu Andani, I Gusti ; Putri, Anissa Dicky ; Zakiar, Muhammad Rizky ; Faruqi, Ismail Al; Santoso, Cokro ; Caraka, Rezzy Eko ; Rohayani, Pitri ; Pramudya, Fabian Surya ; Wijayanto, Arie Wahyu ; Setiyadi, Angga ; Shalannanda, Wervyan

    DOI: 10.1016/j.jag.2024.104274

    Abstract:

    Equitable internet coverage has emerged as a key global priority, which is essential for promoting inclusive and sustainable development. The Indonesian government aims to provide universal internet access by 2024, particularly in remote regions. This study introduces a novel machine-learning-based approach to identify the priority areas for deploying Base Transceiver Station (BTS) towers, which are crucial for achieving the internet access targets of the government. A BTS Network Priority Index was developed by integrating the internet demand estimates with a BTS suitability index derived from key predictors: proximity to fiber optic stations, physical–environmental suitability, and infrastructure–economic readiness. The model identified areas with high internet demand and high BTS suitability as the most critical for immediate development, covering 20 km2. Additionally, future BTS development should target areas with high demand but medium suitability (900 km2) and medium demand but high suitability (280 km2). To validate the methodology, the Random Forest model was employed, which achieved an area under the curve value of 0.7315, indicating strong predictive performance. For the BTS Deployment Suitability parameter, the median was 0.65, with the lower and upper quartiles at 0.44 and 0.85, respectively, confirming that most proposed locations are highly suitable for development. This systematic approach provides data-driven insights for the equitable distribution of BTS towers to ensure efficient internet infrastructure expansion across Indonesia. Furthermore, the study offers a framework that can be adapted by other countries aiming to improve their digital infrastructure and achieve comprehensive, equitable internet access. © 2024 The Author(s)

    Author Keywords:

    Internet accessibility; Machine learning; Remote sensing; Spatial assessment

    Indexed Keywords:

    Regional Index

    Indonesia

    GEOBASE Subject Index

    infrastructure planning; Internet; machine learning; remote sensing; sustainable development