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All Journal JURNAL EDUCATION AND DEVELOPMENT JSHP (Jurnal Sosial Humaniora dan Pendidikan) Business Journal : Jurnal Bisnis Dan Sosial Jurnal E-Bis: Ekonomi Bisnis Economics and Digital Business Review JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Ekonomi Efektif Jurnal ADAM : Jurnal Pengabdian Masyarakat Return : Study of Management, Economic and Bussines Journal of Applied Community Engagement (JACE) eProceedings of Management Journal of Business Management and Economic Development Journal of Community Service and Society Empowerment Jurnal Penelitian Pendidikan Indonesia Jurnal Imiah Pengabdian Pada Masyarakat (JIPM) Multidisciplinary Indonesian Center Journal Jurnal Pengabdian Indonesia JAMARI : Jurnal Pengabdian Masyarakat Mandiri JAMARI : Jurnal Pengabdian Masyarakat Mandiri Journal of Social Science Utilizing Technology
Aldi Akbar
Universitas Telkom
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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HIERARCHICAL REGRESSION MODELING TO DETERMINE THE DOMINANT MICRO-MACRO ECONOMIC FACTORS IN THE SHARIA STOCK SECTOR Aldi Akbar
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 3 No. 1 (2026): Vol. 3 No. 1 Edisi Januari 2026
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v3i1.2215

Abstract

The health pandemic several years ago had a significant impact on various sectors, especially companies listed on the Indonesia Stock Exchange. This study was motivated by fluctuations in the price of sharia stocks or the Jakarta Islamic Index (JII) after the Indonesian government officially lifted the pandemic status. By combining macroeconomic and company fundamental factors with hierarchical regression analysis techniques, this study aims to identify which combination of factors influences the return on shares in this sector after the pandemic. The results show that the performance of returns on shares in the sharia sector is dominated by fundamental factors, namely Total Asset Turn Over (TATO) and Return on Assets (ROA). The main finding from this research is that post-pandemic, the performance of the Islamic stock sector is still dominated by corporate fundamental factors, which are efficiency and profitability. The limitation of this research lies in the data range, and it would be very interesting to continue with a longer time period. The technical contribution of this research is that it can provide an overview for investors when deciding to invest, so that they can focus more on corporate fundamental factors first.
Chatbot Adoption in Indonesian Banking: Exploring the Roles of Trust and Corporate Reputation R. Amalina Dewi Kumalasari; R. Nurafni Rubiyanti; Aldi Akbar; Asep Miftahuddin
JSHP : Jurnal Sosial Humaniora dan Pendidikan Vol. 10 No. 1 (2026)
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat Politeknik Negeri Balikpapan.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32487/jshp.v10i1.2800

Abstract

The advancement of artificial intelligence (AI) has significantly transformed the financial services sector, particularly in banking. One of the most widely adopted applications is the chatbot, which enables banks to deliver faster, more efficient, and responsive customer service through automated interactions. Despite its growing implementation, public acceptance of chatbot technology remains varied. Users tend to evaluate these systems not only based on how useful or easy they are to use, but also on how much they trust the system and the organization behind it. This study explores the factors that drive users’ behavioral intention to use banking chatbots by modifying the Technology Acceptance Model (TAM) to incorporate trust in the chatbot system and corporate reputation. The model incorporates perceived ease of use, perceived usefulness, trust in chatbot, and corporate reputation. Data were gathered through an online survey involving 111 respondents who had prior experience using banking chatbot services. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), reveal that perceived ease of use significantly predicts perceived usefulness, while corporate reputation strongly influences trust. Furthermore, both perceived usefulness and trust are found to be significant predictors of behavioral intention to use banking chatbots. Trust also exerts a notable effect on perceived usefulness. These findings suggest that fostering user trust and managing institutional reputation are critical in promoting the sustainable adoption of AI-driven financial technologies. Banks are encouraged to focus not only on improving the technical features of chatbot systems but also on strengthening their credibility and transparency to enhance user confidence and perceived utility
Implementasi Artificial Intelligence dalam Penyusunan Laporan Keuangan untuk Pemberdayaan UMKM Juara RW 09 Cijawura Bandung Aldi Akbar; Budi Rustandi Kartawinata; Arif Kuswanto
JAMARI : Jurnal Pengabdian Masyarakat Mandiri Vol. 3 No. 1 (2026): Juli
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/jamari.v3i1.1106

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan kapasitas pengelolaan keuangan pada Usaha Mikro, Kecil, dan Menengah (UMKM) melalui pemanfaatan teknologi Artificial Intelligence (AI). Rendahnya literasi keuangan dan keterbatasan sumber daya manusia menjadi kendala utama dalam pengelolaan keuangan usaha. Teknologi generative AI dan Natural Language Processing (NLP) memungkinkan pelaku UMKM untuk menghasilkan laporan keuangan secara real-time tanpa memerlukan keahlian teknis mendalam.Kegiatan ini menyasar UMKM Juara RW 09 yang berlokasi di Komplek Pandanwangi, Kelurahan Cijawura, Kecamatan Buahbatu, Kota Bandung. Jumlah peserta sebanyak dua puluh lima dengan durasi kegiatan 180 menit dan metode pelaksanaan berupa pelatihan interaktif, pendampingan praktis penggunaan aplikasi keuangan berbasis AI, serta simulasi kasus penyusunan laporan keuangan. Berdasarkan evaluasi, hasil pelatihan menunjukkan antusiasme peserta yang sangat tinggi, interaktif, serta memberikan umpan balik yang positif. Pemanfaatan AI mampu memudahkan pelaku UMKM untuk menyusun laporan keuangan usaha mereka secara akurat, sehingga dapat mendukung pengambilan keputusan bisnis yang lebih baik, memudahkan akses permodalan, dan pada akhirnya mendorong keberlanjutan usaha.
Implementasi Artificial Intelligence dalam Penyusunan Laporan Keuangan untuk Pemberdayaan UMKM Juara RW 09 Cijawura Bandung Aldi Akbar; Budi Rustandi Kartawinata; Arif Kuswanto
JAMARI : Jurnal Pengabdian Masyarakat Mandiri Vol. 3 No. 1 (2026): Juli
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/jamari.v3i1.1106

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan kapasitas pengelolaan keuangan pada Usaha Mikro, Kecil, dan Menengah (UMKM) melalui pemanfaatan teknologi Artificial Intelligence (AI). Rendahnya literasi keuangan dan keterbatasan sumber daya manusia menjadi kendala utama dalam pengelolaan keuangan usaha. Teknologi generative AI dan Natural Language Processing (NLP) memungkinkan pelaku UMKM untuk menghasilkan laporan keuangan secara real-time tanpa memerlukan keahlian teknis mendalam.Kegiatan ini menyasar UMKM Juara RW 09 yang berlokasi di Komplek Pandanwangi, Kelurahan Cijawura, Kecamatan Buahbatu, Kota Bandung. Jumlah peserta sebanyak dua puluh lima dengan durasi kegiatan 180 menit dan metode pelaksanaan berupa pelatihan interaktif, pendampingan praktis penggunaan aplikasi keuangan berbasis AI, serta simulasi kasus penyusunan laporan keuangan. Berdasarkan evaluasi, hasil pelatihan menunjukkan antusiasme peserta yang sangat tinggi, interaktif, serta memberikan umpan balik yang positif. Pemanfaatan AI mampu memudahkan pelaku UMKM untuk menyusun laporan keuangan usaha mereka secara akurat, sehingga dapat mendukung pengambilan keputusan bisnis yang lebih baik, memudahkan akses permodalan, dan pada akhirnya mendorong keberlanjutan usaha.
Social Media Followers Influence Banking Stock Prices in Indonesia Budi Rustandi Kartawinata; Aldi Akbar; Aditya Wardhana; Dyah Maharani
Journal of Social Science Utilizing Technology Vol. 1 No. 1 (2023)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v1i1.592

Abstract

Background. Progress in a country can be seen from the development of the capital market, because the capital market plays a very important role in transforming and advancing a country's economy so that it grows and develops. Indonesia is a country known to be rich in natural resources, so the development of capital markets in Indonesia is a step towards sustainable economic development. Purpose. The purpose of this study is to determine the effect of social media on the economic, social and political sectors. Method. The research used is quantitative research with descriptive and verification research methods. Results. The result of this study is that the influence of the number of social media followers on the share price of banks in Indonesia shows a positive correlation between the two. In this context, banks need to utilise social media more effectively as a marketing tool, pay attention to reputation risk management, improve transparency and communication with investors, and strengthen the role of regulators in monitoring the impact of social media.. Conclusion. With this research, there is a finding that in the field of social media, there are variables that influence the financial sector, in this case, company finances, namely the number of followers of a social media platform will influence stock prices. This should be a concern for stakeholders in the business sector to pay attention to social media developments occurring in Indonesia
Co-Authors Aditya Wardhana Aditya Wardhana Agus Maolana Hidayat Ahmad, Mokhtarrudin Amaini, Frizky Dwi Anis Nur Mauludiyah Anita Silvianita Anugrah, Akmal Duta Ardan, Muhammad Farrel Arif Kuswanto Arthadita, Sherly Budi Rustandi Kartawinata Caniyah Citra, Khansa Fairuz Deden Witarsyah DILA NURRAHMADANI Dyah Maharani Dyah Maharani Fadhilla, Belinda Arsya Fadillah, Ridzky Sulthan Faqih Hamami Fitriani Nur Utami Fitriyani, Risma Nur Gita Dwi Auliani Halimatussyadiyah, Hairunnisa Indah Kusprasetya Intan Cahya Juwita Irene, Greselia Ivana Nafliyon Karyadi Kumalasari, Amalina Dewi Lathifah Nur Haudhi Mahendra Fakhri Mahir Pradana Mangsor, Miza Menajang, Reynald Deva Miftahuddin, S.Si.,MAB., asep Monika Yovita Muhammad Diandra Darmawan Muhammad Fadhel Mustari, Aryandhana Prima Nadira Zahra Nafiati, Mitsarah Nasywa Novadilastri, Novadilastri Nurdiansyah, Adam Deva Nurdin, Annisa Rizkitya Nurtaufik, Daffa Ismail Pratiwi, Oktaria Nurul Putu Nina Madiawati R. Amalina Dewi Kumalasari R. Nurafni Rubiyanti Razali, Raja Razana Raja Risma Nur Fitriyani Rubianti, Nurafni Said, Akifah Nahdi Saragih, Rohmat Saragih, Romat Shafira Rahma Kurnia Sherly Artadita Sudibyo, Adityatama Sujak, Aznul Fazrin bin Abu Sularno Sularno, Sularno Syifa Auliya Rachma Syifa, Khalisha Amanda Ulfa Azizah Waniar, Ayu Amelia Wiratama, Adinda Putri Yulia Nur Hasanah Yupi Yuliawati Zahid, Azham