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All Journal Enrichment : Journal of Management Jurnal Kolaboratif Sains Journal of Financial Economics & Investment Jurnal Ilmu Sosial dan Humaniora Journal of Artificial Intelligence and Digital Business Digital Bisnis: Jurnal Publikasi Ilmu Manajemen Dan E-commerce Jurnal Ekonomi Pembangunan, Manajemen & Bisnis, Akuntansi Jurnal Pengabdian Masyarakat STIE Surakarta (DIMASETA) Priviet Social Sciences Journal Paramacitra : Jurnal Pengabdian Masyarakat Ecoducation Ekopedia: Jurnal Ilmiah Ekonomi Jejak digital: Jurnal Ilmiah Multidisiplin Aksi Kita: Jurnal Pengabdian Kepada Masyarakat Indonesia Economic Journal Jurnal Bersama Ilmu Ekonomi Educational Journal Jurnal Ilmiah Ekonomi dan Manajemen Indonesia
Muhammad Ramadhani Kesuma
Universitas Mulawarman
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Machine Learning in Decision Support Systems: A Bibliometric Study of Intellectual Structures, Thematic Evolution, and Future Research Directions Mohammad Arsyad; Raven Naufal Azka; Muhammad Haiqal Aulia Risian; Muhammad Zainuri; Rifky Fadlian Noor; Chandika Mahendra Widaryo; Muhammad Ramadhani Kesuma
Ekopedia: Jurnal Ilmiah Ekonomi Vol. 2 No. 2 (2026): APRIL-JUNI 2026
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/q2ka3a64

Abstract

This study examines the intellectual structure and thematic evolution of research on machine learning (ML) in decision support systems (DSS), with particular attention to the financial management domain, through a bibliometric approach spanning 1993 to 2026. Data were retrieved from the Scopus database and analysed using performance analysis and science mapping methods, supported by VOSviewer to identify publication trends, collaboration networks, and co-occurrence patterns.  The study reveals an annual growth rate of 13.88% in publications, reflecting sustained and accelerating scholarly interest. Collaboration networks remain fragmented, with China, India, and the United States occupying central positions. Thematic analysis indicates a transition from classical ML methods toward advanced integrations encompassing artificial intelligence, big data, and risk analytics.  The findings provide strategic guidance for researchers and practitioners seeking to advance interpretable and ethically grounded ML-based DSS in financial decision-making environments. This study contributes a comprehensive bibliometric mapping of ML in DSS research, identifies persistent intellectual gaps, and proposes a structured agenda for future inquiry integrating explainable AI and cross-disciplinary collaboration.
Risk Management in Decision-Making: A Bibliometric Study Zan Zabila; Ghina Zahira Syahda; Andi Ahmad Aji Ripaldi; Dicko Syahputra; Muhammad Gibran Rustu; Margareth Henrika; Muhammad Ramadhani Kesuma
Ekopedia: Jurnal Ilmiah Ekonomi Vol. 2 No. 2 (2026): APRIL-JUNI 2026
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/6fjffe28

Abstract

This study examines the intellectual landscape of risk management in decision-making through a systematic bibliometric analysis of scholarly publications indexed in Scopus. The study employs a bibliometric method using 168 articles retrieved from Scopus via Boolean keyword search. VOSviewer software was used to conduct co-authorship, co-occurrence, and country collaboration analyses. Publication output has grown significantly over time, reflecting heightened academic interest. Risk management and risk assessment constitute the dominant thematic core, while emerging research clusters reveal a shift toward technology-integrated approaches, including machine learning and big data analytics, alongside growing attention to sustainability and ESG dimensions. Practitioners and policymakers can leverage the identified research clusters to prioritize technology-enabled risk frameworks, particularly in financial decision-making contexts within emerging markets. This study provides a comprehensive mapping of the risk management and decision-making nexus, identifying thematic gaps and underexplored intersections with digital transformation and sustainability that set a future research agenda for financial management scholars.
Analytic Hierarchy Process in Risk Assessment: A Bibliometric Perspective Faradillah Febriyanti; Inggit Istani Putri; Muhammad Eko Wahyudi; Putri Nandira; Queen Firakirana Ramadhani; Via Zahwa Niagara; Lusiana Desy Ariswati; Muhammad Ramadhani Kesuma
Ekopedia: Jurnal Ilmiah Ekonomi Vol. 2 No. 2 (2026): APRIL-JUNI 2026
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/ve7w8417

Abstract

This study analyses the development of research on the application of the Analytic Hierarchy Process (AHP) in risk assessment through a bibliometric approach. Data were collected from the Scopus database using relevant keyword combinations, yielding 1,685 articles. Analysis was conducted using VOSviewer to examine publication trends, author collaboration networks, and keyword co-occurrence patterns. The findings reveal that AHP in risk assessment has experienced significant growth and exhibits a high degree of international collaboration. The most frequently occurring keywords include "AHP," "risk assessment," and "fuzzy AHP," indicating a paradigm shift towards uncertainty-based and hybrid methodological approaches. This study maps the evolution of research themes and identifies future research directions, particularly concerning the integration of AHP with advanced analytical methods and sustainability issues. The bibliometric patterns identified here complement an expanding body of literature linking decision-science methods with financial management and organisational governance.
The Impact of Social Media on Group Decision-Making Processes: A Bibliometric Review Hanifan Ega Pratama; Syahrul Safi’Uddin; Kalfizer Tappang; Reynaldi Reynaldi; Diky Diky; Chandika Mahendra Widaryo; Muhammad Ramadhani Kesuma
Jejak digital: Jurnal Ilmiah Multidisiplin Vol. 2 No. 4 (2026): JUNI-JULI
Publisher : INDO PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/3bzy9d97

Abstract

This study maps and analyses the scholarly literature on the impact of social media on group decision-making processes, with a particular focus on the human resource management (HRM) context, using a bibliometric approach. Data were retrieved from Scopus databases, yielding 116 peer-reviewed articles spanning 2006 to 2026. VOSviewer software was employed to visualise co-authorship networks and keyword co-occurrence patterns, enabling systematic mapping of collaboration structures and thematic evolution. The field exhibits substantial scientific impact, averaging 48.59 citations per document, and is characterised by extensive global collaboration. Thematically, research has evolved from a conceptual stage centred on trust and community interaction toward an applicative and computational stage dominated by big data, artificial intelligence (AI), and consensus model optimisation. Enterprise social media platforms have emerged as strategic infrastructure reinforcing collaboration and inclusivity in hybrid work environments, although challenges related to group bias amplification, polarisation, and echo chamber dynamics remain persistent. Organisations operating in digital and hybrid environments should strategically govern social media platforms to leverage collective intelligence while proactively mitigating algorithmic bias and polarisation risks in group decision-making. This is among the first bibliometric studies to specifically focus on the intersection of social media and group decision-making within an HRM context, identifying AI-driven decision architectures and digital bias mitigation as the most critical frontier for future research.
Influence of Cognitive Biases on Financial Decision-Making: A Bibliometric Analysis Ananda Amalia Munaz; Ardhelia Rayshinta Ratudyana; Chindy Luisa Charlita Permata Jaya; Khairunnisa Zahra Nabilah; Ridha Alya Nur Hidayah; Margareth Henrika; Muhammad Ramadhani Kesuma
Jurnal Ilmiah Ekonomi dan Manajemen Indonesia Vol. 2 No. 1 (2026): JANUARI -JUNI
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/1stan720

Abstract

This study maps the intellectual structure and thematic evolution of research on cognitive biases in financial decision-making using a bibliometric approach. Data comprising 156 peer-reviewed articles were extracted from the Scopus database and analyzed using VOSviewer software to examine co-authorship networks, keyword co-occurrence, and citation patterns. Publications in this field experienced exponential growth, with 63.5% of the corpus concentrated in 2023-2026. India has emerged as the leading contributor by volume, reflecting a broader Global South turn in behavioral finance research. Overconfidence and behavioral finance dominate the keyword landscape, while financial literacy has emerged as a prominent moderating theme. Co-authorship networks remain fragmented, indicating opportunities for cross-institutional collaboration. Emerging frontier themes include technology-based debiasing, algorithmic bias, and ESG investment bias. Practitioners and policymakers can leverage the knowledge map produced by this study to identify high-impact research domains, prioritize financial literacy interventions, and design nudge-based decision environments that mitigate systematic biases in financial markets. This study provides the first comprehensive bibliometric map of cognitive bias research in financial decision-making covering 1997-2026, identifying collaboration gaps, dominant paradigms, and frontier themes that prior narrative reviews have not systematically captured.  
Pengaruh Green Banking dan Bank Efficiency terhadap Bank Profitability: Studi Kasus pada Perusahaan Sektor Perbankan Indonesia yang Terdaftar di Bursa Efek Indonesia Periode 2020 – 2024 Bryan Jefry Rumengan; Wirasmi Wardhani; Muhammad Ramadhani Kesuma
Jurnal Ilmiah Ekonomi dan Manajemen Indonesia Vol. 2 No. 1 (2026): JANUARI -JUNI
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/5czd6x78

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh Green Banking dan Bank Efficiency terhadap Bank Profitability pada perusahaan sektor perbankan yang terdaftar di Bursa Efek Indonesia periode 2020–2024. Penelitian menggunakan pendekatan kuantitatif dengan data sekunder yang diperoleh dari laporan tahunan dan laporan keberlanjutan perusahaan perbankan. Sampel penelitian ditentukan menggunakan teknik purposive sampling, sehingga diperoleh 41 bank dengan total 205 observasi. Analisis data dilakukan menggunakan regresi data panel dengan bantuan EViews 12.   Hasil penelitian menunjukkan bahwa secara simultan Green Banking dan Bank Efficiency berpengaruh signifikan terhadap Bank Profitability. Secara parsial, Green Banking berpengaruh positif namun tidak signifikan terhadap profitabilitas bank, sehingga hipotesis pertama ditolak. Sementara itu, Bank Efficiency yang diproksikan dengan BOPO berpengaruh negatif dan signifikan terhadap profitabilitas bank, sehingga hipotesis kedua diterima. Temuan ini mengindikasikan bahwa efisiensi operasional merupakan faktor penting dalam meningkatkan profitabilitas perbankan, sedangkan manfaat Green Banking terhadap profitabilitas cenderung bersifat jangka panjang.
Dampak Intellectual Capital Terhadap Stabilitas Bank yang Terdaftar di Bursa Efek Indonesia Tahun 2019-2023 Nurul Annisa; Ike Purnamasari; Muhammad Ramadhani Kesuma
Ekopedia: Jurnal Ilmiah Ekonomi Vol. 2 No. 3 (2026): JULI-SEPTEMBER
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/f7y2j212

Abstract

The Indonesian banking sector underwent significant transformations amidst economic volatility and the pandemic from 2019 to 2023. To survive and recover, banks were required to adapt by optimizing Intellectual Capital. This study aims to analyse the impact of Human Capital Efficiency (HCE), Structural Capital Efficiency (SCE), and Capital Employed Efficiency (CEE) on bank stability (Z-score). Utilizing a quantitative approach, this research analyses panel data from 47 conventional banks listed on the Indonesia Stock Exchange (IDX) between 2019 and 2023, selected through purposive sampling. Panel data regression analysis (EViews 12) was conducted, involving model selection tests (Chow, Hausman) and hypothesis testing (F-test and T-test). The findings reveal that only CEE exerts a positive and significant effect on the Z-score, confirming that the efficiency of physical and financial capital (tangible assets) remains the dominant determinant of a bank's financial stability. Conversely, intellectual capital components show no significant effect. HCE exhibits a positive yet insignificant impact due to the long-term nature of human resource investments, while SCE shows a negative and insignificant effect stemming from suboptimal structural capital management and limitations in the VAIC measurement formula.
Revitalizing Bangun Mulya: Harnessing Local Potentials for Sustainable Resilience Muhammad Ramadhani Kesuma; Lexi Okniel Editya; Annisa Putri; Dimaz Ramadani; Ester Ebuliance Sitompul; Misra; Dita Nurul Hikma; Fitri Hasanah; Hilma Tsania Nur Rahmah; Haslan; Grace Oktavia Jawan
Aksi Kita: Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 4 (2025): JULI-AGUSTUS
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/1e4b8a10

Abstract

Bangun Mulya Village, located in Penajam Paser Utara Regency, faces challenges in household waste management, health literacy, digital competitiveness, bullying in schools, and inadequate infrastructure, hindering its environmental, social, and economic resilience. A community service program, conducted from July 14 to August 20, 2025, aimed to revitalize the village by leveraging local potentials to foster sustainable development. Employing a community-based empowerment approach, the initiative utilized mixed-method surveys for needs assessment, implemented individual and group programs, and evaluated outcomes through quantitative and qualitative measures. Interventions included eco-enzyme production training, traditional herbal remedy education, MSME digitalization support, anti-bullying education, natural pesticide training, solar-powered streetlight installation, productive tree planting, establishment of family medicinal plant gardens, and creation of village potential infographics. Results demonstrated significant impacts: 85% of farmers adopted natural pesticides, 90% of participants independently produced herbal remedies, 80% of MSME operators enhanced digital marketing skills, 90% of students showed improved tolerance, 100% participation in tree planting, 70% household adoption of medicinal gardens, and enhanced nighttime safety through functional streetlights. Collaborative community engagement ensured initiative ownership, positioning Bangun Mulya as a more resilient and competitive village, reflecting the role of higher education in sustainable rural development.
Exploring Academic Burnout: The Interplay of Time Pressure, Poor Sleep Habits, and Jam Koma Among Undergraduate Students in East Kalimantan Rohana Nur Aini; Muhammad Ramadhani Kesuma; Ellen D. Oktanti Irianto; Margareth Henrika; Lusiana Desy Ariswati
SOSMANIORA: Jurnal Ilmu Sosial dan Humaniora Vol. 4 No. 3 (2025): September 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/sosmaniora.v4i3.5683

Abstract

This study investigates the interplay of time pressure, poor sleep habits, and jam koma as key predictors of academic burnout among university students in East Kalimantan. Utilizing a quantitative cross-sectional design, the research investigates how time pressure and poor sleep habits contribute to burnout, with cognitive fatigue locally termed “jam koma”, acting as a mediator. Data were collected from undergraduate students using instruments, including scales for time pressure, sleep quality, jam koma, and burnout, and analyzed through Structural Equation Modeling-Partial Least Squares. The findings reveal that time pressure and inadequate sleep significantly drive burnout, both directly and indirectly through jam koma, highlighting the mediating role of mental exhaustion in amplifying academic stress. These results extend the JDR model by incorporating sleep as a critical physiological resource, offering a nuanced understanding of burnout dynamics in collectivist academic settings. This study concludes the urgent need for culturally tailored interventions, such as time management training, sleep hygiene programs, and counseling services sensitive to collectivist values, to mitigate burnout and enhance student well-being. By providing localized insights into burnout mechanisms, this research informs evidence-based strategies for fostering resilient academic environments in East Kalimantan and similar collectivist contexts, contributing to global efforts to support student mental health.
Public Financial Management: A Bibliometric Analysis of Research Trends and Influential Publications Muhammad Dimas Maulana; Raka Restu Mandese; Daiva Adyutasara; Muhammad Ramadhani Kesuma; Ellen D. Oktanti Irianto
Ekopedia: Jurnal Ilmiah Ekonomi Vol. 2 No. 1 (2026): JANUARI-MARET
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/gt0sws91

Abstract

This study conducts a comprehensive bibliometric analysis to map the global evolution of Public Financial Management (PFM) research, focusing on publication trends, geographic distribution, thematic clusters, and influential works shaping the field. Using data retrieved from the Scopus database and analyzed through VOSviewer and Bibliometrix, the study identifies a significant increase in PFM-related publications, particularly after 2010, driven by global demands for fiscal transparency, digital governance, and sustainable budgeting. The analysis reveals strong contributions from China, the United States, and several developing countries such as India and Brazil, while Indonesia remains underrepresented despite extensive fiscal reforms. Keyword co-occurrence mapping uncovers five major clusters, dominated by health sciences, environmental sustainability, and material engineering, with PFM themes embedded within broader clusters related to public health governance and fiscal sustainability. Seminal works by Wildavsky, Schick, and Allen & Tommasi continue to shape the intellectual foundations of PFM, influencing contemporary discourse on accountability, performance-based budgeting, and digital fiscal systems. Overall, the findings highlight the fragmented yet growing nature of PFM scholarship and underscore the need for more focused, context-rich research, especially in developing countries undergoing major public sector financial reforms.
Co-Authors Abraham Peeter Bongiovi Simangunsong Adelia, Ajeng Akbar Anas Mangkona Aliviarisa Putri Surya Alizha Putri Endriani Alya Ghaitsa Anwar Alya Salsabilla Putri Ananda Amalia Munaz Ananda Lydia Putri Salwa Andi Afifah Andi Ahmad Aji Ripaldi Annisa Putri Ardani Ardani Ardhelia Rayshinta Ratudyana Ariswati, Lusiana Desy Arjuna Fauzan Ahmad Arya Mada Nata Kusuma Assyfha Nisrina Rahma Assyifa, Adzra Rania Asyifa, Adzra Rania Aulia Dwi Aminarti Aureline Agny Masiku Azaria Alifah Chiaradeuis Azizah Auliyawati Bagas Wibowo Brian Emmanuel YB. Kolompoy Bryan Jefry Rumengan Calyqa Indie Khumeyra Liszt Chandika Mahendra Widaryo Chandika Mahendra Widaryo Chandika Mahendra Widaryo Chindy Luisa Charlita Permata Jaya Christian Edyanto Daiva Adyutasara Desvita Putri Maharani Devika Arfaliza Dhabyan Khalid Rafasya Dicko Syahputra Diky Diky Dimaz Ramadani Disma Sang Wisangghabumi Dita Alya Sulistiara Dita Nurul Hikma Elga Arjuna Ellen D. Oktanti Irianto Ellen D. Oktanti Irianto Ellen Oktanti Irianto Ellya Gust Priani Erina Permata Dewanti Ester Ebuliance Sitompul Fadilla Elviannur Dwi Jaya Faiz Abdullah Faradillah Febriyanti Faras Putri Sabina Fasya Laras Pramisya Feryanto Feryanto Fitri Hasanah Ghina Zahira Syahda Grace Oktavia Jawan Gusti Kayla Fadilah Hafsyari Hanifan Ega Pratama Haslan Hendi Hendi Henrika, Margareth Hilma Tsania Nur Rahmah Ike Purnamasari Indri Kalila Hardayani Inggit Istani Putri Irianto, Ellen D Oktanti Irianto, Ellen D. Oktanti Jelita Jelita Jovandher Abraham Limbong Kaisar Khoirul Alwan Kalfizer Tappang Kennya Nur Syahada Khairunnisa Zahra Nabilah Khusnul Hafifah Farwati Kobi, Kezia Julietha Korip, Zahwa Muslimatul Lexi Okniel Editya Lusiana Desy Ariswati Lusiana Desy Ariswati Lusiana Desy Ariswati Maftuah Agus Dwiyanti Mantika, Syifa Unada Margareth Henrika Margareth Henrika Margareth Henrika S. Mela Anjani Misra Mohammad Arsyad Muhammad Aditya Saputra Muhammad Aldi Gunawan Muhammad Dimas Maulana Muhammad Eko Wahyudi Muhammad Gibran Rustu Muhammad Haikal Rahman Muhammad Haiqal Aulia Risian Muhammad Rizqullah Muhammad Wizdan Muthahari Muhammad Zainuri Muhammad Zidan Nabila Anatasya Najwaa, Nur Ainun Nanda Mawadah Nashyifa Kayla Nur Syamsiyah Fauziyah Nur, Aini Rohana Nurul Annisa Nurul Shafira Pangestu, Gary Paskah Aprindah Sitompul Putri Nandira Putri, Alya Salsabilla Queen Firakirana Ramadhani Rafli Aly Yahya Raisyah Adindaffa Putri Raka Restu Mandese Rakha Satrio Ramadhan, Gholib Murtadho Raven Naufal Azka Resiani Bungan Layuk Restu Amalia Retno Fitrian Nastiti Reynaldi Reynaldi Rico Erlangga Ridha Alya Nur Hidayah Rifatul Hasanah Rifky Fadlian Noor Risma, Nadiah Risna Lulu'ul Maknun Rohana Aini Rohana Nur Aini Rohana Nur Aini Rusliansyah Rusliansyah Sabrina Perlita Salsabila, Raihana Sandy Afriyano Althaf Saputra, Steven Agung Jaya Serly Lutvia Ikmala Shabrina Adhwa Khairunnisa Shabrina Nailul Farich Shabrina, Ananda Nur Siti Salza Rahmadanita Nakhat Stephanie Wijaya Sulis Sustyaningsih Syahfiah Syahfiah Syahrul Safi’Uddin Tofani, Muhammad Rizky Uno Tunggul Halomoan Sinaga Usada, Saskia Verny Marceli Sisilia Saputri Via Zahwa Niagara Vira Aprilia Widaryo, Chandika Mahendra Wijaya, Stephanie Wiola Wasa Pebrina Herda Wirasmi Wardhani Yustianingrum, Adelia Zan Zabila