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All Journal Ability : Journal of Education and Social Analysis JagoMIPA: Jurnal Pendidikan Matematika dan IPA COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Indonesia Sosial Teknologi Jurnal Indonesia Sosial Sains Journal Research of Social Science, Economics, and Management Jurnal Pendidikan Indonesia (Japendi) Equivalent: Jurnal Ilmiah Sosial Teknik Jurnal Teknik Indonesia El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam RESLAJ: Religion Education Social Laa Roiba Journal Insight : International Journal of social research Journal of Ekonomics, Finance, and Management Studies Nursing Arts Hospitality Management and Operations Journal Jurnal Farmasi Sains dan Terapan (Journal of Pharmacy Science and Practice) Journal of Artificial Intelligence Research
Solikhah, Mar’atus
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Business Intelligence Models to Support the Digital Transformation of MSMEs in Indonesia in the Digital Economy Era Solikhah, Mar’atus
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 12 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i12.9177

Abstract

The background of this research is motivated by the increasingly rapid digital transformation in various sectors, including in the MSME industry in Indonesia. Although the MSME sector makes a significant contribution to the economy, many MSME actors have difficulty in implementing digital technology effectively, especially in data-driven decision-making. One of the solutions that can support this digital transformation is Business Intelligence (BI) based on Big Data Analytics, which allows MSMEs to manage big data and increase operational efficiency and competitiveness. The purpose of this research is to develop a Business Intelligence (BI) model that can be adopted by MSMEs in Indonesia to support their digital transformation in the digital economy era. This study uses a quantitative approach with an explanatory research design, as well as Structural Equation Modeling (SEM-PLS) to test the relationship between variables that affect the adoption of BI in the MSME sector. The results of the study show that Business Intelligence based on Big Data Analytics has a significant influence on the digital transformation of MSMEs in Indonesia, especially in improving data-based decision-making and operational efficiency. The proposed BI model is proven to support MSMEs to adapt to market dynamics and increase their competitiveness.
Business Intelligence Models to Support the Digital Transformation of MSMEs in Indonesia in the Digital Economy Era Solikhah, Mar’atus; Maulana, Sandi Agus
Jurnal Indonesia Sosial Teknologi Vol. 7 No. 2 (2026): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v7i2.9178

Abstract

The background of this research is motivated by the increasingly rapid digital transformation in various sectors, including in the MSME industry in Indonesia. Although the MSME sector makes a significant contribution to the economy, many MSME actors have difficulty in implementing digital technology effectively, especially in data-driven decision-making. One of the solutions that can support this digital transformation is Business Intelligence (BI) based on Big Data Analytics, which allows MSMEs to manage big data and increase operational efficiency and competitiveness. The purpose of this research is to develop a Business Intelligence (BI) model that can be adopted by MSMEs in Indonesia to support their digital transformation in the digital economy era. This study uses a quantitative approach with an explanatory research design, as well as Structural Equation Modeling (SEM-PLS) to test the relationship between variables that affect the adoption of BI in the MSME sector. The results of the study show that Business Intelligence based on Big Data Analytics has a significant influence on the digital transformation of MSMEs in Indonesia, especially in improving data-based decision-making and operational efficiency. The proposed BI model is proven to support MSMEs to adapt to market dynamics and increase their competitiveness.
Generative AI Integration in the Startup Ecosystem: A Technopreneurship Strategy to Increase Global Competitiveness Fauziyyah, Ghina; Solikhah, Mar’atus
International Journal of Social Research Vol. 4 No. 1 (2026): Insight : International Journal of Social Research
Publisher : Worldwide Research Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/insight.v4i1.96

Abstract

The rapid development of Generative Artificial Intelligence (Generative AI) technology has driven significant transformations in the global startup ecosystem. This technology enables the automation of creative processes, faster data analysis, and more efficient digital product development. In the context of technopreneurship, the integration of generative AI is a strategic factor that can increase startups' innovation capacity while strengthening global competitiveness. However, understanding how the integration of generative AI technology can be optimized in technopreneurship strategies to improve startup competitiveness still requires more in-depth empirical studies. This study aims to analyze the influence of generative AI integration in the startup ecosystem on technopreneurship strategies and its impact on increasing startups' global competitiveness. This study uses a quantitative approach with an explanatory research method. Data were collected through a survey of founders and managers of technology-based startups that utilize digital innovation in their business activities. The sampling technique used purposive sampling with a total of 150 startups as respondents. Data analysis was conducted using the Structural Equation Modeling–Partial Least Squares (SEM-PLS) method to test the relationship between the research variables. The results of the study indicate that the integration of generative AI has a positive and significant impact on technopreneurship strategies and startups' global competitiveness. Furthermore, technopreneurship strategies are proven to act as a mediating factor, strengthening the relationship between the use of generative AI technology and increased startup competitiveness in the global market. These findings suggest that the use of generative AI, supported by innovative technological entrepreneurship strategies, can be a source of competitive advantage for startups in facing the dynamics of the global digital economy.
Dekonstruksi Epistemologi Zakat: Analisis melalui Kritik Nalar Arab Muhammad Abed Al-Jabiri Apit Afifah, Timbang; Aldi Winata, Tri; Solikhah, Mar’atus; Romdhoni, Ahmad; Hadi, Rahmini
Reslaj: Religion Education Social Laa Roiba Journal Vol. 8 No. 3 (2026): RESLAJ: Religion Education Social Laa Roiba Journal
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/reslaj.v8i3.10408

Abstract

This study aims to deconstruct the epistemology of zakat which has been dominated by the Bayani (textual) approach, causing zakat management to be trapped in ritual dimensions and lacking responsiveness to structural poverty. Using Muhammad Abed Al-Jabiri’s Critique of Arab Reason, this study attempts to offer a Burhani (rational-demonstrative) approach to understanding zakat. The research method used is qualitative with a library research type. The results show that the dominance of Bayani reason in zakat fiqh has resulted in a rigid understanding of asnaf and zakat objects. Through Al-Jabiri’s analysis, zakat needs to be shifted towards Burhani reasoning which emphasizes causality and social benefit (maslahah). The deconstruction of zakat epistemology implies that zakat must be understood not only as a dogmatic obligation but as an economic instrument capable of answering the challenges of the times through measurable productivity. This study concludes that the integration of Burhani reason is necessary to transform zakat from theological normativity to sociological functionality.
Etika Bisnis Islam Perspektif Al-Ghazali dalam Era Transformasi Digital: Analisis Relevansi pada Platform Shopee Solikhah, Mar’atus; Shofwa Shafrani, Yoiz; Apit Afifah, Timbang
El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Vol. 7 No. 3 (2026): El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmal.v7i3.10409

Abstract

The digital transformation of e-commerce has dramatically reshaped Indonesia’s business landscape, with transaction values projected to reach USD 80 billion by 2025. Nevertheless, this rapid expansion has simultaneously produced critical ethical challenges, including price manipulation, exploitation of personal data, and structural injustice that disadvantages MSME actors. This study aims to analyze the relevance of Islamic business ethics norms from Al-Ghazali’s perspective within the context of the Shopee platform and to formulate applicable strengthening strategies. Utilizing a qualitative method through a literature-based approach examining Al-Ghazali’s works and 45 contemporary studies (2015–2025), this research investigates four fundamental principles of Islamic business ethics: mashlahah (public benefit), niyyah (sincere intention), sidq (honesty), and ‘adl (justice). The findings reveal that the implementation of these principles through features such as rating systems, product reviews, and dispute-resolution centers can enhance consumer protection by up to 65%. However, significant obstacles remain, including uneven product transparency (40%), misuse of reviews (15–20%), and the dominance of profit-driven motives (70%). The study proposes five key strategic recommendations: digital ethics education, AI-Blockchain-based verification systems, integration of mashlahah into recommendation algorithms, multi-stakeholder collaboration, and the development of an Islamic Business Ethics Index (IBEI). Consistent implementation of Al-Ghazali’s ethical principles is expected to foster an e-commerce ecosystem that is equitable, transparent, and oriented toward collective welfare.
Co-Authors Ainul Kholipah, Siti Aldi Winata, Tri Amelia Amelia Apit Afifah, Timbang Asri Arbie Baitul Jannah, Khofifah Indah Dwi Putri Pramesti, Ginna Novarianti Faransisca, Vika Fauziyyah, Ghina Hossain, Md. Jakir Luthfiah Luthfiah Masrid Pikoli Maulana, Sandi Agus Muawanah Muawanah rahmini hadi Rehman, Atif Rizqi Alvian Fabanyo Romdhoni, Ahmad Sairmau, Gerson Titus Shofwa Shafrani, Yoiz Sundari Sundari Tamamiyah, Lutfiyatut Teguh Widodo Yusuf, Frita Fauzi