Agus Nursikuwagus

Studi Pedagogis dan Etika Teknologi pada Penggunaan Sistem Penilaian Esai Berbasis AI di Pendidikan Tinggi

Rizki Adha, Lusianto Lusianto, Dodi Syaripudin, Agus Nursikuwagus et autres

Penggunaan kecerdasan artifisial (AI) dalam penilaian esai semakin berkembang di pendidikan tinggi karena kemampuannya meningkatkan efisiensi dan konsistensi evaluasi. Namun, penerapannya menimbulkan tantangan pedagogis dan etika terkait keadilan, transparansi, serta legitimasi keputusan akademik. Penelitian ini bertujuan menganalisis implikasi pedagogis dan etika penggunaan …

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Design of an Artificial Intelligence-based Personalized Learning Governance Framework

Ucu Nugraha, Sri Titi Handayani, Hernalom Sitorus, Agus Nursikuwagus et autres

The rapid advancement of Artificial Intelligence (AI) in education has created significant opportunities for personalized learning while simultaneously introducing governance challenges for learners with disabilities. Existing studies have examined AI, adaptive learning, accessibility, and inclusive education; however, these areas remain fragmented and …

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Pengembangan Model Tata Kelola Explainable AI pada Sistem Peringatan Dini Stunting : Pendekatan Socio-Technical dan Technology Acceptance

Diana Effendi, Sri Nurhayati, Agus Nursikuwagus, Yeffry Handoko Putra et autres

This study develops a governance model for Explainable Artificial Intelligence (XAI) in a stunting early warning system by integrating a socio-technical approach and the Technology Acceptance Model (TAM). The main issues examined are the low transparency of AI systems, the lack of …

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Classification, Prediction, and Prescription of Digital Government Governance Maturity Levels: Leveraging SPBE Index Data (2019–2024) for Evidence-Based Regional Digital Government Architecture Planning in Indonesia

Andi Agus Salim, Zainal A. Hasibuan, Agus Nursikuwagus, Sri Supatmi

Indonesia's transition from the SPBE evaluation framework to the 2025–2029 Pemdi (Digital Government) Index marks a strategic shift toward comprehensive governance maturity. However, regional governments face significant challenges in strategic planning due to the absence of empirical models linking historical SPBE performance …

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Integrated and Spatiotemporal Predictive Data-Driven Narcotics Intelligence Ecosystem: Governance, Interoperability, and Analytics Pipeline for Evidence-Based Policy

Luki Ishwara, Agus Nursikuwagus, Ednawati Rainarli, Zainal A. Hasibuan et autres

Across BNN, police, health, corrections, and local government, Indonesia's crossagen cynarcotics control produces a lot of data yet fragmented, limiting timely identification of abuse patterns,hotspots, and resource requirements. It aims to bridge the gap between international breakthroughson the use of machine-learning–based monitoring …

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Predictive decision support for underutilization risk in public sector tourism: Evidence mapping and a design science roadmap

Ucu Nugraha, Zainal Arifin Hasibuan, Bobi Kurniawan S, Sri Supatmi et autres

Publicly funded tourism assets can become stranded when utilization persistently falls below a reasonable level relative to capacity or policy-defined potential. Yet tourism analytics research largely forecasts demand or composite performance and seldom formalizes underutilization as a governance outcome, nor evaluates decision …

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Data-Driven Learning Analytics Conceptual Framework for Automated Competency Mapping in Outcome-Based Education: A Design Science Research Approach

Hasbu Naim Syaddad, Zainal A. Hasibuan, Bobi Kurniawan S, Sri Supatmi et autres

The implementation of Outcome-Based Education (OBE) in higher education demands precise measurement of Graduate Learning Outcomes (CPL) and Course Learning Outcomes (CPMK). However, current conventional Learning Management Systems (LMS) remain static and centered on final performance metrics (grades), thus failing to map …

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Beyond Dashboards: A Systematic Literature Review of Learning Analytics, Business Intelligence, and Generative AI for Decision-Making in Universities

Heri Purwanto, R. Rizal Isnanto, Qidir Maulana Binu Soesanto, Agus Nursikuwagus et autres

The rapid proliferation of learning analytics, business intelligence (BI), artificial intelligence (AI), and generative AI (GenAI) has significantly expanded universities’ ability to collect, integrate, analyze, and operationalize institutional data. However, despite advances in predictive analytics, dashboards, and AI-driven systems, the translation of …

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Open Government Data Analytics of Tourist Visits In West Java 2014–2024: A Data Science and Philosophy of Science Perspective

Ucu Nugraha, Hernalom Sitorus, Sri Titi Handayani, Agus Nursikuwagus et autres

Open Government Data (OGD) in tourism provides opportunities for data-driven analytics to support destination management policies. In policy practice, tourism OGD is often accepted at face value as a direct representation of real-world conditions, even though such data are constructed through definitions, …

PENERAPAN CONVOLUTIONAL NEURAL NETWORK UNTUK PENGENALAN BAHASA ISYARAT INDONESIA: STUDI KASUS DAN TINJAUAN FILSAFAT SAINS

Hernalom Sitorus, Ucu Nugraha, Sri Titi Handayani, Agus Nursikuwagus et autres

Rendahnya literasi Bahasa Isyarat Indonesia (BISINDO) di masyarakat umum masih menjadi hambatan komunikasi dengan komunitas Tuli, sementara riset pengenalan bahasa isyarat berbasis AI umumnya berfokus pada capaian teknis semata. Penelitian ini bertujuan mengembangkan sistem pengenalan alfabet BISINDO berbasis Convolutional Neural Network (CNN) …

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SUPPORT VECTOR MACHINE TO CLASSIFY SENTIMENT REVIEWS ON GOOGLE PLAY STORE

Agus Nursikuwagus, Suherman, Heri Purwanto, Tono Hartono

This research addresses the "rating-content discrepancy" on the Google Play Store, where numerical star ratings often conflict with the actual sentiment of textual reviews. Utilizing the CRISP-DM framework, the study evaluates the effectiveness of machine learning in resolving these inconsistencies by classifying …

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REKONSTRUKSI OBJEKTIVITAS EVALUASI AKADEMIK: KAJIAN FILSAFAT SAINS TERHADAP MEDIASI TEKNOLOGI DALAM MENYELARASKAN NILAI DAN FAKTA PEMBELAJARAN

Ipan Ripai, Wiyoga Baswardono, Nanang Abdurahman, Agus Nursikuwagus et autres

Evaluasi akademik sering kali mengalami krisis epistemologis akibat diskoneksi antara nilai formal dengan realitas empiris pembelajaran. Penelitian ini bertujuan merekonstruksi objektivitas evaluasi melalui mediasi teknologi aplikasi web di PTIK Universitas Muhammadiyah Kuningan. Menggunakan desain kuantitatif dalam kerangka Rasionalisme Kritis Karl Popper dan …

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