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Grounding Surah Al-Fatihah as a Foundational Framework for Transforming Binary Thought toward Progressive, National, and Cultural Islam through a Time-Based Fourier Series Approach Bambang Judi Bagiono; Warno Warno; Hendarto D Hendarto D; Bambang Subana Afandi; M. Firdaus
Civilization Research: Journal of Islamic Studies Vol 5 No 1 (2026): Civilization Research: Journal of Islamic Studies [In Progress]
Publisher : PT. Student Rihlah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61630/crjis.v5i1.152

This article aims to position Surah Al-Fatihah as a foundational epistemological framework for transforming binary thinking toward Progressive, National, and Cultural Islam. Methodologically, this study adopts an interdisciplinary qualitative approach that integrates thematic Qur’anic interpretation, philosophy of knowledge, and a conceptual analogy derived from time-based Fourier series. The findings suggest that a time-based Fourier approach enables a paradigmatic shift from rigid binary logic toward an integrative spectral model of Islamic thought. This transformation supports the development of Progressive Islam that engages constructively with science and modernity, National Islam that harmonizes religious values with constitutional frameworks, and Cultural Islam that embraces local wisdom as an authentic expression of universal Islamic principles. Consequently, Surah Al-Fatihah emerges as an epistemic, ethical, and civilizational foundation for an inclusive, contextual, and future-oriented Islamic worldview.

Waste-to-Energy Modeling via Digital Algorithms Based on Faith-Based Cleanliness and Education Bambang Judi Bagiono; Nasirudin Nasirudin
Halaqa: Journal of Islamic Education Vol. 2 No. 1 (2026): Halaqa : Journal of Islamic Education
Publisher : PT. Student RIhlah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61630/hjie.v2i1.41

This research examines the integration of Islamic cleanliness principles into digital algorithm modeling as a conceptual foundation for ethical system design. In Islamic thought, cleanliness encompasses not only physical purity but also moral intention, cognitive clarity, and structural order, as articulated by Al-Ghazali. The objective of this study is to formulate a value-based digital algorithm framework grounded in these principles. The research employs a qualitative conceptual methodology through critical literature review of classical Islamic scholarship and contemporary digital modeling and algorithm studies published within the last decade. The results demonstrate that Islamic cleanliness principles can be systematically translated into algorithmic stages, including purified input selection, integrity-driven processing, and accountable output validation. The discussion indicates that this approach introduces an ethical and spiritual dimension absent from most conventional algorithmic models. The novelty of this study lies in its interdisciplinary synthesis of Islamic ethical philosophy and formal digital system modeling. The findings have important policy implications for ethical artificial intelligence, digital governance, and education systems, particularly in culturally and religiously contextualized environments. This research is significant as it provides an original conceptual contribution to the development of responsible and value-oriented digital transformation.

Design and Evaluation of AI-Based Musyarakah Sales System at UMKM XYZ Tangerang Bambang Judi Bagiono; Nasirudin Nasirudin; Joko Sarono
Iqtisad: Journal of Islamic Economic and Civilization Vol. 2 No. 1 (2026): Iqtisad : Journal of Islamic Economic and Civilization (In Progress)
Publisher : PT. Student Rihlah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61630/ijiec.v2i1.20

The rapid development of digital technology and Artificial Intelligence (AI) has significantly transformed business governance, particularly among Micro, Small, and Medium Enterprises (MSMEs). Sharia-based MSMEs applying musyarakah contracts frequently face managerial challenges due to manual transaction recording and profit-sharing calculations, leading to computational errors, reporting delays, and limited transparency. This study designs and evaluates an AI-based remotized musyarakah sales management system at UMKM XYZ Tangerang using a compound percentage method. A mixed-methods approach was employed, involving observation, in-depth interviews, and financial document analysis. The system was tested over a 12-month period, analyzing 1,080 sales transactions (540 before and 540 after implementation). The web-based platform enables partners to remotely monitor real-time sales and profit-sharing data. The compound percentage method calculates profit distribution proportionally based on capital contribution, operational involvement, and managerial responsibility. Quantitative results show that profit-sharing calculation accuracy increased from 88% to 97%, reporting time decreased by 35%, and financial discrepancies were reduced by 42%. Revenue forecasting accuracy reached 93% using machine learning models. Operational efficiency improved by 30%, while partner satisfaction scores increased from 3.4 to 4.5 (on a 5-point scale). These findings demonstrate that integrating Islamic financial principles with AI-driven systems enhances transparency, efficiency, and sustainable Sharia-compliant MSME growth.

Web-Based Prototype Integrating Islamic Ethical Communication in E-Commerce Ria Rosalina; Bambang Judi Bagiono
Iqtisad: Journal of Islamic Economic and Civilization Vol. 2 No. 1 (2026): Iqtisad : Journal of Islamic Economic and Civilization (In Progress)
Publisher : PT. Student Rihlah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61630/ijiec.v2i1.22

This study designs a web-based prototype that integrates Islamic ethical communication principles qoulan sadida, qoulan layyina, tabligh, ‘adl (justice), and amanah—into buying and selling activities at ABCD Store, Jakarta. In the context of rapid digitalization and increasingly competitive retail markets, ethical challenges such as misleading information, unfair pricing, weak transparency, and limited accountability often undermine consumer trust. To address these issues, this research introduces a Conscious-Based Method, which embeds ethical validation mechanisms directly into transactional processes. The Conscious-Based Method operates through four structured stages. The findings demonstrate that embedding computational ethical controls within a web-based retail system significantly enhances accountability, fairness, and sustainable consumer trust. This study contributes to the development of ethically embedded digital commerce architectures by operationalizing Islamic ethical communication principles into measurable system indicators. Practically, the proposed prototype provides a scalable governance model that can be adopted by small and medium-sized enterprises to strengthen consumer trust and reduce transactional disputes in digital retail environments.

AI-Based Break-Even Optimisation within an Ethical Reflective Framework Bambang Judi Bagiono; Joko Sarono; Nasirudin Nasirudin
Iqtisad: Journal of Islamic Economic and Civilization Vol. 2 No. 1 (2026): Iqtisad : Journal of Islamic Economic and Civilization (In Progress)
Publisher : PT. Student Rihlah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61630/ijiec.v2i1.24

Break-even management is essential for ensuring business sustainability, pricing fairness, and financial accountability, particularly in environments that demand ethical governance. However, conventional break-even analysis is typically static and lacks adaptive optimisation and structured feedback mechanisms. This study aims to develop an AI-based prototype system for optimising break-even variables within an ethical reflective framework that integrates predictive modelling, constrained optimisation, and governance-based feedback. The methodology combines multiple linear regression and exponential smoothing for revenue forecasting, followed by nonlinear optimisation (SLSQP) to minimise time-to-break-even subject to ethical guardrails, including margin floor and price-smoothing constraints. Simulation results show that the prototype improves forecast accuracy (MAPE reduced from 9.45% to 4.87%) and decreases time-to-break-even from 12.4 to 9.8 months (−21%), while reducing deviation variance from 11% to 5.2% through iterative feedback. The novelty lies in embedding ethical accountability constraints into AI-driven optimisation, offering policy implications for transparent pricing, accountable financial planning, and governance-aligned business decision-making.

AI-Based Prototype for Identifying Murabahah, Ujroh, Nisbah Variables Using Quran-Hadith Foundations Bambang Judi Bagiono; Nasirudin Nasirudin; Joko Sarono
Iqtisad: Journal of Islamic Economic and Civilization Vol. 2 No. 1 (2026): Iqtisad : Journal of Islamic Economic and Civilization (In Progress)
Publisher : PT. Student Rihlah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61630/ijiec.v2i1.25

This study is important because Murabahah, Ujroh, and Nisbah contracts form the backbone of contemporary Islamic banking, yet their variables are often implemented without computationally verifiable links to primary Quran–Hadith foundations. The objective of this research is to develop and evaluate an AI-Based Prototype for Identifying Murabahah, Ujroh, and Nisbah Variables Using Quran-Hadith Foundations in order to enhance transparency, consistency, and doctrinal authenticity in Islamic financial transactions. The study employs a hybrid methodological framework combining natural language processing (NLP), semantic classification, supervised machine learning, and rule-based inference, integrated with Shariah expert validation. Textual data derived from the Qur'an and authenticated Hadith literature are processed to extract jurisprudential concepts and convert them into measurable contractual parameters. The results indicate that the prototype successfully identifies core variables, including cost disclosure and profit margin (Murabahah), service fee structure and duration (Ujroh), and proportional profit-sharing ratios and risk allocation (Nisbah). Statistical validation demonstrates consistent classification accuracy and alignment with Shariah expert assessments. The novelty of this research lies in integrating foundational Islamic textual analysis directly into an AI computational model, rather than relying solely on contemporary regulatory interpretations. Policy implications include supporting regulators, Shariah supervisory boards, and Islamic financial institutions in developing standardized AI-assisted compliance frameworks, thereby strengthening governance, transparency, and digital transformation in Islamic finance.

Modeling Lamastum Parameter–Variable Systems Using Lagrange Deep Learning Methodologies for Education and Life Sciences Bambang Judi Bagiono; Nasirudin Nasirudin; Asra Abuzar
Halaqa: Journal of Islamic Education Vol. 2 No. 1 (2026): Halaqa : Journal of Islamic Education
Publisher : PT. Student RIhlah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61630/hjie.v2i1.46

The significant progress of Artificial Intelligence (AI), particularly within Deep Learning paradigms, has enabled the exploration of new frameworks for representing language as symbolic and semantic systems. Contemporary AI is no longer confined to numerical computation but increasingly addresses the complexity of meaning embedded in linguistic structures..One of the main challenges in educational AI is how to model non-numerical parameters and variables—such as language, conceptual meaning, and ethical values—within mathematical systems that remain computationally optimizable. This study proposes modeling the word “Lamastum” as a system of semantic parameters and variables using a Lagrange Deep Learning approach. The Lagrange method is employed to link learning objective functions with constraints related to values, ethics, and life contexts through constrained optimization formulations . The Lagrangian approach enables simultaneous integration of learning objectives and humanistic. The results indicate that this approach can represent interactions among linguistic meaning, educational goals, and real-life contexts in a more structured and adaptive manner. The proposed model has the potential to serve as a new conceptual framework for the development of humanistic AI oriented toward sustainable education and character formation Originally developed for constrained mathematical optimization, the Lagrangian approach has been increasingly adopted in contemporary AI research to integrate human-centered constraints into machine learning systems.

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