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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.
KERANGKA KERJA TATA KELOLA DATA BERDASARKAN DMBOK V2 UNTUK MENDUKUNG KOMERSIALISASI ASET DATA PADA DIGITAL STARTUP Herdiansyah Pratama Ginanjar; Eddy Soeryanto Soegoto; Rahma Wahdiniwaty; Irfan Dwiguna Sumitra; Adam Mukharil Bachtiar
Didaktik : Jurnal Ilmiah PGSD STKIP Subang Vol. 12 No. 03 (2026): Volume 12 No. 03, September 2026 Published
Publisher : STKIP Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36989/didaktik.v12i03.17597

Abstract

Amidst the escalation of the digital economy, commercialization of data assets (data monetization) has become a crucial strategy for startups to open new revenue streams. However, the ambition to convert data into profit is often hampered by information silos, low data quality, and legal risks following the implementation of the Personal Data Protection Law (PDP Law). This literature research aims to formulate a conceptual framework for adaptive data governance for startups by adopting the Data Management Body of Knowledge v2 (DMBOK v2) guidelines. Using a systematic literature review approach to reputable scientific articles and regulatory documents, this research constructs a governance model that aligns business needs with technical compliance. The resulting theoretical synthesis yields the Agile Data Commercialization Governance Framework (ADCGF), a streamlined model focused on the three main pillars of DMBOK v2. These pillars include data governance with a minimalist role structure (Data Governance), standardization of data product quality based on completeness and accuracy metrics (Data Quality), and de-identification techniques through anonymization and aggregation (Data Security & Privacy). The implementation of this model demonstrates that privacy regulatory restrictions are not a barrier to entrepreneurial innovation, but rather a strategic anchor for building market trust. The resulting blueprint is expected to serve as a practical guide for digital businesses in optimizing the economic potential of data securely, legally, and with high economic value.
Analysis of Barriers to PoS application users in MSMEs based on Google play store review Wildan Zulfikar Djunaedi; Adam Mukharil Bachtiar; Akhrarova Shoira Batirovna
International Journal of Research and Applied Technology (INJURATECH) Vol. 6 No. 1 (2026): June 2026
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Transformation to digital through Point of Sale (POS) software can offer a lot of operational efficiency for MSMEs but the adoption is still not optimal because of the limitations of the users themselves. In this research, we will seek to explore, categorize, and prioritize the main operational challenges faced by MSME entrepreneurs using the Kasir Pintar app. Using the quantitative approach in text mining, the data collection process used a total of 10,000 user reviews from the Google Play Store on 13 July 2026. Filtering out low ratings (1 & 2) provided 421 reviews and after preprocessing (folding, cleaning, tokenizing, normalization, preserving stopwords for negation semantics, and Sastrawi stemming), we had 395 cases. Based on the results, the most frequent words or tokens include “tidak” (229 times), “daftar” (61), “data” (55), “masuk” (51), “akun” (50), and “barang” (45). The above complaints have been systematically synthesized to formulate a new barrier taxonomy consisting of four categories: technical and system barriers (failure of authentication and OTP), integration and data barriers (data loss and failure of receipt printer connection), customer service barriers (non-responsive helpdesk support) and commercial barriers (re-registration issues and price sensitivity). In practice, it emerges from this study that the instability of the software causes a vicious multiplier effect, forcing the merchants to rely on their inefficient manual record keeping during peak sales time, and losing customer trust and increasing application churn. In the context of PoS application development, these insights provide strategic priorities in the form of developing multi-channel OTP authentication (whatsapp and email) and offline first local synchronization to avoid data loss, along with SLA based customer support
PERANCANGAN MODEL STRATEGIS TRANSFORMASI BISNIS RADIO LOKAL BERBASIS AI-DRIVEN TECHNOPRENEURSHIP PADA NIRWANA FM BANJARMASIN Novia Purnamasari; Eddy Soeryanto Soeogoto; Rahma Wahdiniwaty; Irfan Dwiguna Sumitra; Adam Mukharil Bachtiar
HEI EMA : Jurnal Riset Hukum, Ekonomi Islam, Ekonomi, Manajemen dan Akuntansi Vol. 5 No. 2 (2026): July
Publisher : Prodi Hukum Ekonomi Syariah, STI Syariah AL-Hilal SIgli

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61393/heiema.v5i2.514

Abstract

The rapid development of Artificial Intelligence (AI) offers strategic opportunities to strengthen technopreneurship models, including within conventional offline businesses. This study aims to design an AI-driven strategic transformation model for a local radio business, focusing on Nirwana FM Banjarmasin, particularly its Event Organizer (EO) services, product sales, and marketing collaborations. A qualitative case study approach was employed, with data collected through in-depth interviews, field observations, and analysis of operational documents to map the existing level of technological integration. The findings reveal a significant digitalization gap, where Nirwana FM has not yet implemented AI in a comprehensive and integrated manner. Operational processes within the EO unit and marketing strategies remain largely manual and rely on fragmented technological tools. To address this issue, the study proposes a strategic AI-based model through the integration of five core solutions: (1) AI-Based Audience Analytics, (2) Predictive Analytics for Product Stock Planning, (3) AI-Powered Social Media Performance Tracking, (4) AI-Assisted Scheduling and Event Management, and (5) Automated Chatbot and Information Services. This model serves not only as an operational optimization framework but also as a sustainable hybrid business transformation strategy for local radio enterprises and MSMEs in the digital era.
SINERGI PERSONAL BRANDING CEO DAN CONTENT MARKETING DALAM STRATEGI TECHNOPRENEURSHIP KLINIK & APOTEK MAS BANJARBARU Martin Agusta; Eddy Soeryanto Soeogoto; Rahma Wahdiniwaty; Irfan Dwiguna Sumitra; Adam Mukharil Bachtiar
HEI EMA : Jurnal Riset Hukum, Ekonomi Islam, Ekonomi, Manajemen dan Akuntansi Vol. 5 No. 2 (2026): July
Publisher : Prodi Hukum Ekonomi Syariah, STI Syariah AL-Hilal SIgli

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61393/heiema.v5i2.520

Abstract

This study aims to analyze the synergy between CEO personal branding and content marketing within the technopreneurship strategy implemented at MAS Clinic and Pharmacy, Banjarbaru, South Kalimantan. A descriptive qualitative approach was employed through digital observation of the official Instagram account, social media content analysis, and examination of digital technologies supporting healthcare services and marketing. The findings reveal that digital transformation extends beyond service digitalization by strengthening health education, communication, and marketing through social media. Educational content featuring doctors and healthcare professionals increases audience engagement, fosters emotional connection, and enhances brand awareness and public trust. The main finding demonstrates that the synergy between CEO personal branding and institutional content marketing organically expands market reach, improves marketing cost efficiency, and strengthens the competitiveness of healthcare services. Furthermore, this strategy supports all stages of digital consumer behavior based on the Attention, Interest, Search, Action, and Share (AISAS) model. The study concludes that integrating digital leadership with educational content marketing represents an effective technopreneurship strategy for enhancing public trust while reinforcing the competitive position of healthcare providers within the digital healthcare ecosystem.