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Integrasi Gemini AI Berbasis Retrieval-Augmented Generation (RAG) pada Moodle untuk Penilaian Esai Otomatis dengan Pendekatan Human-in-the-Loop di Pendidikan Tinggi Rizki Adha; Lusianto Lusianto; Dodi Syaripudin; Bobi Kurniawan S; Adam Mukharil Bachtiar; Hanhan Maulana; Ednawati Rainarli
Academic Journal of Computer Science Research Vol 8, No 1 (2026): Academic Journal of Computer Science Research (AJCSR)
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/ajcsr.v8i1.16253

Abstract

Penilaian esai merupakan komponen penting dalam evaluasi pembelajaran di pendidikan tinggi, namun proses penilaian manual oleh dosen membutuhkan waktu yang besar dan berpotensi menimbulkan inkonsistensi, terutama pada kelas dengan jumlah mahasiswa yang besar. Penelitian ini bertujuan untuk mengembangkan dan mengevaluasi sistem penilaian esai otomatis berbasis Gemini AI yang terintegrasi dengan Learning Management System (LMS) Moodle menggunakan pendekatan Retrieval-Augmented Generation (RAG) dan mekanisme Human-in-the-Loop (HIL). Penelitian menggunakan metode Research and Development (R&D) dengan model ADDEI, yang meliputi tahap analisis, perancangan, pengembangan, evaluasi, dan implementasi sistem. Evaluasi sistem dilakukan melalui pengujian fungsional (black-box testing), serta kuesioner Human-in-the-Loop yang melibatkan 24 dosen dari 14 perguruan tinggi swasta di wilayah Banten, DKI Jakarta, dan Jawa Barat. Hasil pengujian menunjukkan bahwa seluruh fungsi sistem berjalan sesuai dengan spesifikasi. Evaluasi HIL menunjukkan tingkat penerimaan yang tinggi hingga sangat tinggi, terutama pada indikator peran AI sebagai decision-support system dan tanggung jawab akademik dosen. Selain itu, hasil validasi dosen menunjukkan bahwa sebagian besar rekomendasi skor dan umpan balik yang dihasilkan oleh sistem dapat diterima, dengan dosen tetap memiliki kendali penuh dalam menentukan nilai akhir. Temuan ini menunjukkan bahwa integrasi Gemini AI berbasis RAG dengan mekanisme Human-in-the-Loop efektif sebagai sistem pendukung penilaian esai yang efisien, akuntabel, dan sesuai dengan kebutuhan penilaian akademik di pendidikan tinggi.
KEWIRAUSAHAAN SOSIAL UPCYCLING FASHION BAGI IBU TUNGGAL: KAJIAN PUSTAKA TERHADAP TREN KONSUMSI GENERASI Z DI ERA EKONOMI DIGITAL Karina Nurhidayah; Eddy Soeryanto Soegoto; Rahma Wahdiniwanty; Irfan Dwiguna Sumitra; Adam Mukharil Bachtiar
NUSANTARA : Jurnal Ilmu Pengetahuan Sosial Vol 13, No 3 (2026): NUSANTARA : JURNAL ILMU PENGETAHUAN SOSIAL
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jips.v13i3.2026.844-847

Abstract

Perkembangan ekonomi digital menghadirkan peluang sekaligus tantangan bagi pekerja perempuan di sektor informal, khususnya ibu tunggal yang memiliki beban peran ganda. Di sisi lain, dominasi Generasi Z (Gen Z) sebagai demografi konsumen utama pada tahun 2026 menunjukkan pergeseran preferensi menuju produk yang mengusung nilai keberlanjutan (sustainability) dan otentisitas sosial. Artikel ini merupakan tinjauan pustaka (literature review) yang bertujuan untuk merumuskan landasan konseptual bagi model bisnis kewirausahaan sosial berbasis upcycling fashion. Melalui sintesis berbagai literatur dari tahun 2020 hingga 2026, kajian ini menemukan bahwa integrasi antara keterampilan menjahit ibu tunggal di Kota Bandung dengan strategi pemasaran User-Generated Content (UGC) dapat menciptakan ekosistem bisnis yang memberdayakan perempuan secara ekonomi sekaligus memenuhi tuntutan etis konsumen Gen Z.
Computer Vision Analysis for Traffic Monitoring and Road Safety in Smart City Concept Luki Ishwara; Hasbu Naim Syaddad; Andi Agus Salim; Bobi Kurniawan; Adam Mukharil Bachtiar; Ednawati Rainarli
Technologia Journal Vol. 3 No. 1 (2026): Technologia Journal-February
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/vk562576

Abstract

Rapid urban growth and rising traffic complexity require Smart City solutions that move beyond passive CCTV toward intelligent, real-time traffic management. This study examines how computer vision–based analytics contribute to road safety when integrated into an Intelligent Transportation System (ITS). A quantitative quasi-experimental design was applied across multiple intersections using a 12-month before–after window. Data were collected from video analytics (vehicle and pedestrian detection, tracking, violations, road conditions), adaptive signal logs, crash and injury records, near-miss indicators, and contextual variables such as weather and traffic volume. Analysis combined perception validation (mAP, tracking accuracy), time-series operational assessment, and Difference-in-Differences modeling to estimate safety impacts. Results show high perception reliability (mAP > 0.85) and significant operational improvements, including a 33% reduction in waiting time and 35% shorter queues. More importantly, red-light violations decreased by 39%, near-miss events by 45%, crash frequency by 42%, and severity index by 37%. The findings indicate a causal pathway from vision-based perception to adaptive control and enforcement, leading to measurable safety gains. The study concludes that computer vision serves as a safety governance instrument within Smart City ITS when detection outputs are tightly coupled with intervention mechanisms.   
Development of the Value Co-Creation and Monetization Resilience Model in the Vertical Micro-Drama Ecosystem: a Theoretical Study on Paywall Innovation Ahmad Budi Sulistioyuwono; Eddy Soeryanto Soegoto; Rahma Wahdiniwaty; Adam Mukharil Bachtiar; Irfan Dwiguna Sumitra
Journal of World Science Vol. 5 No. 1 (2026): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v5i1.1624

Abstract

The rapid transformation of digital content consumption toward short-form and vertical video formats has given rise to vertical micro-dramas as a distinct entertainment ecosystem with unique monetization challenges. While prior studies have examined value co-creation and monetization strategies separately, limited attention has been paid to how these two dimensions interact to sustain revenue in highly volatile, attention-driven environments. This study adopts a theoretical research design using a conceptual model development approach based on a systematic synthesis of international and national scholarly literature. Through thematic and comparative analysis, the study identifies key dimensions of value co-creation—engagement, community participation, data-driven feedback, and institutional collaboration—and maps their interaction with diverse paywall innovations, including microtransactions, hybrid advertising models, subscriptions, and access-based partnerships. The findings demonstrate that monetization resilience in vertical micro-drama ecosystems emerges from the dynamic alignment between participatory value creation and adaptive paywall design, rather than from isolated revenue mechanisms. The study contributes a conceptual framework that explains how co-creation processes, when integrated with flexible monetization architectures and contextualized by local market conditions, enable platforms to achieve sustainable revenue under conditions of rapid technological and behavioral change.
Technopreneurship and Digital Innovation as Determinants of MSME Competitive Advantage: A Strategic Management Perspective in the Digital Economy Era Burhanuddin Burhanuddin; Eddy Soeryanto Soegoto; Irfan Dwiguna Sumitra; Adam Mukharil Bachtiar; Rahma Wahdiniwaty
Journal Research of Social Science, Economics, and Management Vol. 5 No. 7 (2026): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i7.1311

Abstract

Digital transformation is understood as a systematic process that influences the entire management cycle—from strategy formulation and implementation to organizational performance evaluation. This study aims to analyze the effect of digital innovation, technopreneurial managerial competence, and technology orientation on the competitive advantage of Small and Medium Enterprises (SMEs). A quantitative approach was employed using a survey method involving 150 SME respondents who had adopted digital technologies, and the data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results indicate that digital innovation, technopreneurial managerial competence, and technology orientation have a positive and significant impact on SMEs’ competitive advantage, explaining 71.7% of the variance. These findings highlight the importance of integrating technopreneurship and digital innovation as an effective managerial strategy to enhance the competitiveness and sustainability of SMEs. The study provides practical implications for SME owners to prioritize managerial competence development, technology adoption, and innovation culture while offering guidance for future research to consider external factors influencing competitive advantage models.