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All Journal Journal of Applied Science, Engineering, Technology, and Education Mattawang: Jurnal Pengabdian Masyarakat Indonesian Technology and Education Journal
Nirmala S., Aprilianti
Unknown Affiliation
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Public Health Social Sciences Other

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SRS and Design Analysis: Kunci Kesuksesan Proyek Sistem Informasi yang Efektif Baso, Fadhlirrahman; Nirmala S., Aprilianti; Alkhalil, Ibrahim; Imansyah, Dian Arishandy
Indonesian Technology and Education Journal Volume 2 No. 1 Februari 2024
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/itej.v2i1.449

Abstract

The formulation of Software Requirements Specification (SRS) and design analysis are key factors in the success of information system projects. A proper SRS lays a solid foundation for system development, while comprehensive design analysis helps identify system requirements clearly. However, crafting effective SRS and conducting thorough design analysis often pose challenges. This article aims to delineate the roles of SRS and design analysis in the early stages of system development and provide insights into best practices for addressing associated challenges. The methodology involves direct engagement with stakeholders and end-users to deeply understand user requirements. Subsequently, comprehensive requirement analysis and system design analysis are conducted. With the right approach, organizations can enhance the likelihood of success in information system projects, ensuring that the resulting systems meet user needs effectively.
From Ethics to Impact: Modeling the Role of AI Perception Dynamics in the Relationship Between Ethics AI Practices, AI-Driven Societal Impact, and AI Behavioral Analysis Fakhri, M. Miftach; Jannah, Devi Miftahul; Isma, Andika; Dewantara, Hajar; Nirmala S., Aprilianti
Journal of Applied Science, Engineering, Technology, and Education Vol. 7 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci3802

Abstract

The rapid evolution of Artificial Intelligence (AI) has brought significant changes across various sectors, including healthcare, finance, and criminal justice, presenting both remarkable opportunities and complex ethical challenges. As AI becomes increasingly embedded in decision-making processes, concerns about individual rights, social equity, and public trust are growing, especially in high-stakes contexts. These ethical implications underscore the critical need for robust frameworks that emphasize AI transparency, accountability, and fairness to mitigate risks such as bias and ensure responsible usage. Despite the increased focus on ethical AI practices, there remains a considerable gap in understanding how these frameworks impact societal perceptions and behaviors toward AI. This study seeks to address this gap by investigating the effects of ethical AI practices—specifically transparency, accountability, and fairness—on public perceptions and behaviors. The study employs a quantitative approach, using purposive sampling to select a sample of AI-knowledgeable participants and analyzing the data with Partial Least Squares Structural Equation Modeling (PLS-SEM). This methodological approach allows for a detailed exploration of the relationships between ethical AI practices and societal impacts. Additionally, the study examines the mediated pathways through which these ethical practices influence AI’s societal and behavioral impacts, hypothesizing that transparency and accountability foster trust and positive engagement. By developing a framework that aligns ethical AI practices with societal values, this study aims to advance the broader goals of societal trust, public acceptance, and sustainable social integration of AI technologies. These insights contribute to the growing body of knowledge on responsible AI deployment, supporting ethical alignment in diverse AI applications and promoting trustworthiness in AI-driven systems
School Entrepreneurship Transformation Based on Data Literacy and Augmented Reality: Capacity Building and Digital Marketing at SMAN 2 Bulukumba Hajar Dewantara; Azis, Fajriani; Akbar, Muhammad; Agusnaya, Nurrahmah; Nirmala S., Aprilianti
Mattawang: Jurnal Pengabdian Masyarakat Vol. 6 No. 3 (2025)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.mattawang4308

Abstract

Kesenjangan pemanfaatan teknologi digital dalam pembelajaran kewirausahaan di sekolah menengah masih terlihat pada rendahnya integrasi literasi data dan media interaktif. Program pengabdian ini bertujuan memperkuat ekosistem kewirausahaan di SMAN 2 Bulukumba melalui pelatihan literasi data dan Augmented Reality (AR) yang terintegrasi dengan perancangan perangkat ajar serta strategi pemasaran digital. Metode yang digunakan adalah Participatory Action Research (PAR) dengan tahapan: identifikasi kebutuhan, sosialisasi, pelatihan (literasi data, Google Form dan pemanfaatan AI, AR untuk visualisasi produk 3D, penyusunan RPP menggunakan Magic School, dan penguatan digital marketing), pendampingan, serta evaluasi. Evaluasi kuantitatif menggunakan pre-test dan post-test yang diikuti oleh 30 peserta (guru dan siswa), sedangkan evaluasi kualitatif melalui observasi dan refleksi terstruktur. Hasil menunjukkan peningkatan signifikan pemahaman dan keterampilan: rata-rata skor naik dari 4,614 (29%) menjadi 8,901 (72%). Secara kualitatif, guru lebih percaya diri menyusun RPP berbasis teknologi dan memfasilitasi analisis data pasar, sementara siswa lebih kreatif memvisualisasikan produk dengan AR serta menerapkan strategi digital marketing. Program ini efektif meningkatkan kapasitas kewirausahaan digital di sekolah dan layak dilanjutkan melalui pelatihan lanjutan serta penguatan infrastruktur. Implikasi praktisnya, integrasi literasi data dan AR mendorong pembelajaran yang kontekstual, inovatif, dan berorientasi pasar, sekaligus menyiapkan wirausahawan muda yang adaptif di era ekonomi digital.
Co-Authors Agusnaya, Nurrahmah Alkhalil, Ibrahim Andika Isma Azis, Fajriani Baso, Fadhlirrahman Hajar Dewantara Imansyah, Dian Arishandy Jannah, Devi Miftahul M. Miftach Fakhri Muhammad Akbar