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DIGITAL TRANSFORMATION IN ISLAMIC FINANCIAL INSTITUTIONS WITH CHALLENGES AND OPPORTUNITIES FOR SHARIA-COMPLIANT ACCOUNTING SYSTEMS Eddy, Pujiono; Renaldo, Nicholas; Junaedi, Achmad Tavip; Suhardjo, Suhardjo; Tanjung, Amries Rusli; Musa, Sulaiman
Kurs : Jurnal Akuntansi, Kewirausahaan dan Bisnis Vol 10 No 1 (2025): Kurs : Jurnal Akuntansi, Kewirausahaan dan Bisnis
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/kurs.v10i1.5111

Abstract

This study aims to explore the dynamic interplay between digital transformation and the operational, regulatory, and ethical dimensions of a Shariah-compliant accounting system. A descriptive-exploratory design was used to investigate the current state of digital transformation in IFIs and analyze the integration of digital accounting technologies in the context of Shariah compliance. A purposive sampling technique will be used to select participants with relevant experience and expertise in Islamic finance and digital systems. Interview data will be transcribed and analyzed using thematic analysis. The study findings reveal that while digital innovations, such as AI, cloud computing, and blockchain, are being embraced in customer-facing services, their implementation in core accounting and Shariah governance functions remains limited (Wati et al., 2024). This study contributes to the growing literature on Islamic digital finance by highlighting the need for a distinct theoretical framework that integrates Islamic accounting principles with digital transformation models. Future studies could use quantitative methods to measure the impact of digital transformation on financial performance or customer satisfaction in Islamic banks. Studi ini bertujuan untuk mengeksplorasi interaksi dinamis antara transformasi digital dan dimensi operasional, regulasi, dan etika dari sistem akuntansi yang sesuai dengan Syariah. Desain deskriptif-eksploratori digunakan untuk menyelidiki keadaan transformasi digital terkini di IFI dan menganalisis integrasi teknologi akuntansi digital dalam konteks kepatuhan Syariah. Teknik pengambilan sampel purposif akan digunakan untuk memilih partisipan dengan pengalaman dan keahlian yang relevan dalam keuangan Islam dan sistem digital. Data wawancara akan ditranskripsi dan dianalisis menggunakan analisis tematik. Temuan studi mengungkapkan bahwa sementara inovasi digital, seperti AI, komputasi awan, dan blockchain, dianut dalam layanan yang berhadapan dengan pelanggan, implementasinya dalam fungsi akuntansi inti dan tata kelola Syariah masih terbatas (Wati et al., 2024). Studi ini berkontribusi pada literatur yang berkembang tentang keuangan digital Islam dengan menyoroti perlunya kerangka teoritis yang berbeda yang mengintegrasikan prinsip-prinsip akuntansi Islam dengan model transformasi digital. Studi masa depan dapat menggunakan metode kuantitatif untuk mengukur dampak transformasi digital pada kinerja keuangan atau kepuasan pelanggan di bank-bank Islam.
Gaining Effective Profitability with Training in Factory Overhead Cost Calculation for Printing Businesses Wati, Yenny; Yusrizal, Yusrizal; Irman, Mimelientesa; Fadrul, Fadrul; Renaldo, Nicholas
Plakat : Jurnal Pelayanan Kepada Masyarakat Vol 6, No 2 (2024): Volume 6, Nomor 2 Desember Tahun 2024
Publisher : Fakultas Ilmu Sosial dan Ilmu Politik, Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/plakat.v6i2.17127

Abstract

Inadequate information and the ineffective ability to distribute factory overhead costs to determine production costs might lead to lower-than-optimal earnings. This problem is the basis for this PKM action because the business owner's intended strategy is ineffective. This PKM activity wants to assist and boost efficiency in obtaining profits for printing entrepreneurs by developing knowledge and capacity to accurately calculate the cost of production, particularly factory overhead costs, to estimate a business's profit or loss each period. The approaches used in this PKM action include empowerment, instruction, and practice. On Saturday, September 7, 2024, the owner of a printing business and three of his employees participated in PKM offline. In line with evaluation findings, instruction, and practice boosted competency by 75%. This improved ability is the outcome of mistakes being identified through offline instruction and the PKM team suggesting fixing any difficulties that exist. This PKM action can maximize the annual profit gained for the printing business's long-term viability. This PKM was held so that the printing business may develop, improve, and actively contribute more to Indonesia's economic growth.Pengetahuan yang minim dan kemampuan mengalokasikan biaya overhead pabrik yang tidak efektif dalam menentukan harga pokok produksi dapat mengakibatkan laba yang diperoleh kurang optimal. Permasalahan tersebut menjadi dasar dilakukan kegiatan PKM ini karena strategi bisnis yang direncanakan oleh pemilik usaha menjadi tidak tepat. Kegiatan PKM ini bertujuan untuk membantu dan meningkatkan efisiensi dalam pencapaian laba bagi pelaku usaha percetakan dengan meningkatkan pengetahuan dan kemampuan dalam menentukan biaya produksi khususnya biaya overhead pabrik secara akurat untuk mengetahui besarnya laba maupun rugi suatu bisnis setiap periodenya. Metode dalam kegiatan PKM ini adalah pemberdayaan, pelatihan, dan praktik. Pelaku usaha percetakan dan tiga orang pegawainya mengikuti PKM secara luring pada Sabtu, 7 September 2024. Bersumber pada data evaluasi, setelah latihan dan praktik, kemahiran berkembang sebesar 75%. Kemahiran yang meningkat tersebut disebabkan kekeliruan bisa diketahui dalam pelatihan secara luring dan tim PKM menyampaikan rekomendasi untuk membenahi kekeliruan yang terjadi. Kegiatan PKM ini bisa mengoptimalkan pendapatan laba yang diperoleh setiap tahun berjalan untuk kelangsungan usaha percetakan. PKM ini diadakan agar usaha percetakan dapat berkembang, meningkat, dan berperan aktif dalam pertumbuhan perekonomian Indonesia.
The Role of Artificial Intelligence in Early Detection of Financial Statement Fraud in Digital Financial Institutions, AI-Fraud Behavior Integration Model Renaldo, Nicholas; Veronica, Kristy
International Conference on Business Management and Accounting Vol 3 No 1 (2024): Proceeding of International Conference on Business Management and Accounting (Nov
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/icobima.v3i1.5093

Abstract

The novelty of this study lies in its qualitative exploration of how Artificial Intelligence is conceptualized, adopted, and integrated into fraud detection systems in digital financial institutions, especially in developing countries. This study also makes Renaldo-Veronica AI-Fraud Behavior Integration Model. This study uses a qualitative exploratory approach, aiming to understand the perceptions, practices, and challenges associated with the use of Artificial Intelligence (AI) for early detection of financial statement fraud in digital financial institutions. The model uncovers how behavioral drivers of fraud (pressure, opportunity, rationalization) intersect with AI adoption drivers (perceived usefulness, ease of use, intention). The Renaldo-Veronica AFBI Model advances fraud theory by integrating psychological and technological constructs in a single analytical framework. Introduces digital rationalization as a modern form of fraud justification, expanding the Fraud Triangle for the AI era. Future research can use quantitative validation of the Renaldo-Veronica AFBI Model using structural equation modeling (SEM) or PLS to test relationships between fraud and AI adoption constructs.
Implementation of PSAK 64 in Indonesian Oil and Gas Companies under Production Sharing Contracts Renaldo, Nicholas; Junaedi, Achmad Tavip; Suhardjo, Suhardjo; Tanjung, Amries Rusli; Jahrizal, Jahrizal; Dalil, M; Arief, Dodi Sofyan; Koto, Jaswar; Musa, Sulaiman; Veronica, Kristy
International Conference on Business Management and Accounting Vol 3 No 2 (2025): Proceeding of International Conference on Business Management and Accounting (May
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/icobima.v3i2.5115

Abstract

This study seeks to identify best practices, uncover implementation gaps, and provide recommendations to improve the quality and comparability of financial reporting in the sector. This study employs a qualitative case study approach to gain an in-depth understanding of the implementation of PSAK 64 in Indonesian oil and gas companies operating under the Production Sharing Contract (PSC) model. The sample is selected using purposive sampling, focusing on companies that: Operate in the upstream oil and gas sector in Indonesia, are governed by the PSC model, and have published financial reports in accordance with PSAK 64. The study findings reveal that while companies generally comply with the basic requirements of PSAK 64, there is considerable variation in the interpretation and application of specific provisions, particularly those related to the recognition, measurement, and disclosure of exploration and evaluation (E&E) assets. This study contributes to the accounting literature by highlighting how a single standard (PSAK 64) can be applied differently based on the contractual and regulatory environment.
Human Resource Analytics Strategy to Optimize Digital Business Accounting Processes SD, Surya Safari; Renaldo, Nicholas; Junaedi, Achmad Tavip; Suhardjo, Suhardjo; Panjaitan, Harry Patuan; Hutahuruk, Marice Br; Yovita, Indri; Cecilia, Cecilia; Wahid, Nabila; Veronica, Kristy
International Conference on Business Management and Accounting Vol 3 No 2 (2025): Proceeding of International Conference on Business Management and Accounting (May
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/icobima.v3i2.5125

Abstract

The study seeks to generate novel insights into how HR analytics can serve as a strategic lever, moving beyond conventional HR metrics to drive improvements in process performance, employee competencies, and organizational agility. The study seeks to generate novel insights into how HR analytics can serve as a strategic lever, moving beyond conventional HR metrics to drive improvements in process performance, employee competencies, and organizational agility. This study adopts a qualitative exploratory design to understand how organizations leverage Human Resource Analytics (HRA) to optimize digital business accounting processes. To address the novelty of exploring how HRA supports digital accounting (an under-researched link), this study will focus on cross-functional perspectives, collecting data from both HR and accounting leaders rather than HR alone. The findings reveal that when HRA is applied cross-functionally, it becomes a powerful enabler of digital transformation by identifying skill gaps, informing targeted training, and improving accounting process outcomes such as accuracy and efficiency. HR and Finance leaders should collaborate to embed HR analytics into transformation projects, ensuring that skill gaps are identified and addressed proactively.
Empowering Farmers Through a Practical and Energy-Efficient Goat Feed Chopping Machine Dalil, M; Arief, Dodi Sofyan; Jahrizal, Jahrizal; Junaedi, Achmad Tavip; Susanti, Wilda; Tendra, Gusrio; Renaldo, Nicholas; Koto, Jaswar; Musa, Sulaiman; Wahid, Nabila; Cecilia, Cecilia
International Conference on Business Management and Accounting Vol 2 No 2 (2024): Proceeding of International Conference on Business Management and Accounting (May
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/icobima.v2i2.5075

Abstract

This initiative is part of a broader commitment to support rural agricultural development through technological innovation and knowledge transfer. Through workshops, demonstrations, and direct community involvement, this program will not only provide access to the feed chopper but also equip farmers with the skills and understanding needed to adopt and sustain its use. This community service project was designed using a participatory and problem-solving approach, integrating technical innovation with local knowledge to empower goat farmers. This community service initiative successfully introduced a practical and energy-efficient goat feed chopping machine to a rural farming community. The machine effectively addressed key challenges in manual feed preparation, including time consumption, labor intensity, and inconsistency in feed size. This initiative demonstrates that small-scale engineering solutions, when aligned with local needs and capacities, can significantly advance rural development and agricultural sustainability.
Micro-Livestock and Macro-Impact with A Goat Farming Empowerment Program Rahman, Sarli; Dalil, M; Jahrizal, Jahrizal; Junaedi, Achmad Tavip; Renaldo, Nicholas; Marlim, Yulvia Nora; Susanti, Wilda; Koto, Jaswar; Musa, Sulaiman; Wahid, Nabila; Cecilia, Cecilia
International Conference on Business Management and Accounting Vol 3 No 1 (2024): Proceeding of International Conference on Business Management and Accounting (Nov
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/icobima.v3i1.4653

Abstract

This program is designed to provide hands-on training, resources, and long-term support to individuals and families, especially women and youth, in rural areas. By equipping participants with the knowledge and tools necessary for successful goat rearing, the program not only creates opportunities for additional income but also strengthens food resilience and self-sufficiency at the grassroots level. This community service program employs a participatory and sustainable development approach to implement goat farming as a tool for empowerment and livelihood improvement. The methodology consists of five main phases: community assessment, participant selection, training and capacity-building, implementation, and monitoring & evaluation. The Micro-Livestock and Macro-Impact program demonstrated that small-scale goat farming can serve as a powerful tool for community empowerment, particularly in rural areas with limited income sources. Through training, resource provision, and cooperative support, participants significantly improved their knowledge, increased their household income, and began to experience the benefits of sustainable livestock management. The success of this program highlights the potential of micro-livestock farming to serve as a replicable and scalable model for rural development. It shows that even small agricultural interventions, when paired with training and community engagement, can lead to measurable improvements in food security, income generation, and social empowerment.
Digital Water Accounting for Value Creation, Transforming Water Data into Strategic Sustainability Assets Renaldo, Nicholas; Fransisca, Luciana
International Conference on Business Management and Accounting Vol 3 No 1 (2024): Proceeding of International Conference on Business Management and Accounting (Nov
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/icobima.v3i1.5082

Abstract

This paper offers a novel contribution by positioning digital water accounting as a value creation mechanism across multiple dimensions, economic, environmental, and strategic. It examines not only the technologies enabling this shift but also how digital water insights unlock opportunities in the circular economy, mitigate risk, and foster stakeholder trust. Given the emerging nature of digital water accounting and its integration with sustainability strategies, a qualitative case study method is appropriate. This approach allows for an in-depth exploration of complex systems, real-world challenges, and the interplay between technology, data, and organizational value. This study demonstrates that Digital Water Accounting (DWA) is more than a technological upgrade to traditional water management, it is a strategic innovation that drives multidimensional value creation. By integrating digital tools such as IoT sensors, cloud computing, and analytics, DWA enables organizations to optimize water use, reduce costs, comply with regulations, improve ESG reporting, and unlock new opportunities in sustainability and circular economy practices. Future studies should incorporate larger datasets and econometric methods to quantify the financial and sustainability impacts of DWA systems.
Credit Risk Prediction Model Using Artificial Intelligence in Digital Financial Systems Junaedi, Achmad Tavip; Renaldo, Nicholas; Suhardjo, Suhardjo; Musa, Sulaiman; Veronica, Kristy
International Conference on Business Management and Accounting Vol 3 No 1 (2024): Proceeding of International Conference on Business Management and Accounting (Nov
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/icobima.v3i1.5092

Abstract

This study adopts a qualitative approach to examine how AI-based credit risk models are conceptualized and applied in digital finance, with a focus on emerging economies. The novelty of this study lies in: Exploring the human dimensions of AI adoption, including trust and interpretation by credit practitioners; Highlighting ethical and governance issues such as bias, fairness, and data privacy; Identifying hybrid models that combine AI with human oversight in risk decisions; and Offering policy insights for the responsible integration of AI in digital credit systems. This study uses a qualitative exploratory approach to investigate how Artificial Intelligence (AI) is conceptualized, implemented, and perceived in the context of credit risk prediction in digital financial systems. Through a qualitative, multi-case approach involving interviews and document analysis, it finds that AI offers substantial potential to improve credit risk models, particularly through the use of alternative behavioral data. These findings highlight the need for a balanced credit assessment framework where AI supports, but does not completely replace, human expertise.
THE EFFECT OF ENTREPRENEURSHIP CHARACTERISTICS, BUSINESS CAPITAL, AND TECHNOLOGICAL SOPHISTICATION ON MSME PERFORMANCE Renaldo, Nicholas; Sudarno, Sudarno; Hutahuruk, Marice Br.; Junaedi, Achmad Tavip; Andi, Andi; Suhardjo, Suhardjo
Journal of Applied Business and Technology Vol. 2 No. 2 (2021): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (488.974 KB) | DOI: 10.35145/jabt.v2i2.74

Abstract

This study aims to analyze the influence of entrepreneurial characteristics, business capital, and technological sophistication on the performance of SMEs. The data collection method used in this study was a questionnaire. The number of respondents as a research sample was 291 MSME owners in Pekanbaru City. The analysis technique used is multiple regression analysis. The findings of this study are that entrepreneurial characteristics have a positive effect on MSME performance, venture capital has a positive effect on MSME performance and technological sophistication has no effect on MSME performance. Advice to MSME owners to consider aspects of technological sophistication in developing their business during the Covid-19 pandemic because using technology, especially in terms of marketing, can reduce direct contact so that human resources owned are protected from the risk of the Corona virus.
Co-Authors Aby Riestanti Achmad Tavip Junaedi Ahmad Rafa'i Alan Alfred Yang Alkhairi, M. Habib Aminuyati Amries Rusli Tanjung Amries Rusli Tanjung Andi Andi Andi Andi Andi Andi Andi Andi Anggi Firmansyah Anton Anton Anton Anton Anton Aprilia, Bord Nandre Arlia Asri Ady Bakri Astuti Dara Anjeli Augustine, Yvonne Aulia Ramadhani Bahmid Hasbullah Cecilia Cecilia Cecilia, Cecilia Dadi Komardi Dalil, M Dalil, M. Dara, Chenda Darmasari, Ria David David Deivita, Yan Dhea Anggelina Dilahk Yladbla Dodi Sofyan Arief, Dodi Sofyan Eddy, Pujiono Efi Rofianto Hia Elvina, Vivi Emiliana Shania Meta Nahak Endah Prawesti Ningrum Eny Retna Ambarwati Fadrul Fadrul Fadrul, Fadrul Farnila, Vera Fazal Mohamed Mohamed Sultan Fitri Yani Fitri Yani Fransisca Hanita Rusgowanto Fransisca, Luciana Geovanie, Geovanie Gusrio Tendra Hadi, Syukri Hairudin, Hairudin Haristan, Meiviana Harrison, Edward Harry Patuan Panjaitan Hilas, Rajah Abdulqadir Hinsatopa Simatupang Hocky, Agus Horsiando, Eric Hughes, Amy Hutahuruk, Marice Br I Gusti Ayu Asri Pramesti Ida Ayu Putu Sri Widnyani Ienne Yoseria Putri Ienne Yoseria Putri Indri Yovita Intan Purnama Intan Purnama Irwan Effendi Irwan Irwan Jahrizal James Jelia Juventia Jenny Angelica Jessen, Jessen Kiri, Ming Komardi, Dadi Koto, Jaswar Kristy Veronica Kudri, Wan Muhamad Layla Hafni Lestari, Dania Ayu Lita Umiputriani Gai Luciana Fransisca Luciana Fransisca Mahdi Mahdi Marice Br Hutahuruk Marlim, Yulvia Nora Mary Onasis Hasri Massaguni, Masnita Meyer, Kaspar Mimelientesa Irman Muhammad Adrian Agusta Muhammad Pringgo Prayetno Muhammad Ridwan Mukhsin Mukhsin Munidewi, Ida Ayu Budhananda Musa, Sulaiman MUTHMAINNAH Muthmainnah Nabila Hestia Nabila Wahid Namso Ukanahseil Napitupulu, Ryan Pardomuan Ni Putu Yuria Mendra Nicholas, Eric Niken Widyastuti Niken Widyastuti Novita Yulia Putri Nuonnad, Diaz Othman Nuriman M. Nur Nyoto Nyoto Nyoto Nyoto, Nyoto Nyoto, Rebecca La Volla Octasylva, Annuridya Rosyidta Pratiwi Octavellyn, Shierly Okalesa, Okalesa Okšav, Nitram Panggabean, Jessylane Prayetno, Muhammad Pringgo Prihastomo, Arih Dwi Priyono Pujiono Eddy Purba, Jansaris Othniel Purnama, Intan Puspita, Tuwilin Maladewi Putri, Novita Yulia Putu Wenny Saitri Rahman, Sarli Ramadani, Yulita Ramadhani Ramadhani Ramdani Ramdani Rebecca La Volla Nyoto Reilly, William Remy, Adrian Rezenebe Ngameyga Udab Ria Puspitasari Rizaldi Putra Rizaldi Putra Robert David Rozalia, Dwi Kirtapati Rusilawati, Ermina Sabrina Sabnah Sally Santoso, Pamuji Hari Sarli Rahman Schmidt, Matthias Septi, Iti Setyawan, Onny Sevendy, Tandy Siti Ngatikoh Smith, Harry Sofyanto, Sofyanto Sriadmitum, Ike Stevany Stevany Suci Fitria Sari Sudarmanto, Eko Sudarno Sudarno Sudarno Sudarno Sudibyo, Yvonne Augustine Sugiyarti, Listya Suhardjo Suhardjo Suhardjo Suharti Suharti Suharti Suharti Suranto, Agung Surikin Surya Safari SD Susantriana Dewi Susantriana Dewi Sutandijo, Sutandijo Suyono Suyono SUYONO Suyono Suyono Suyono Suyono Syahputra, Hidayat T, Dominicus Josephus Swanto Tandy Sevendy Tandy Sevendy Taylor, John Alexander Teddy Chandra Thaief, Ilham Tjahjana, Dominicus Josephus Swanto Tuti Dharmawati Veronica, Kristy Vomizon, Rodle Wahid, Nabila Wati, Yenny Widi, Rahma Wijaya, Boyke Wijaya, Febriana Wendy Wilda Susanti William William Yu, Hou Yulia Fitri Yuni Shara Sitompul Yusnidar Yusnidar Yusrizal Yusrizal Yusrizal Yusrizal Yusrizal