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All Journal Jurnal Simetris Format : Jurnal Imiah Teknik Informatika Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JITK (Jurnal Ilmu Pengetahuan dan Komputer) International Journal of New Media Technology JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) ILKOM Jurnal Ilmiah JSiI (Jurnal Sistem Informasi) Jurnal Nasional Komputasi dan Teknologi Informasi KOMPUTA : Jurnal Ilmiah Komputer dan Informatika Jurnal Manajemen Informatika Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Academic Journal of Computer Science Research (AJCSR) Al-MIKRAJ: Jurnal studi Islam dan Humaniora Jurnal Sains Informatika Terapan (JSIT) Journal of Computing Theories and Applications Journal of Renewable Engineering Integrated System and Management Technology Computer Architecture and Signal Processing Big Data Analytics and Data Science Cyber Security and Network Management
Agus Nursikuwagus
Universitas Komputer Indonesia
Aerospace Engineering Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Neuroscience Public Health Social Sciences Transportation

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Pelatihan Vokasional Bidang E-Commerce Bagi UMKM Peserta Sekolah Perempuan Jawa Barat Siti Kurnia Rahayu; Umi Narimawati; Muhamad Nawawi; Syahrul Mauluddin; Rangga Sidik; Dadang Munandar; Sri Dewi Anggadini; Wati Aris Astuti; Raeni Dwi Santy; Rizki Zulfikar; Yoki Oktorian Sukardi; Fitri Annisa Rachmah; Affan Neskisyah Ramadhan; Anto Purwanto; Yadi Mulyadi Rohman; Agus Nursikuwagus
JURPIKAT Vol 6 No 4 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v6i4.2738

Abstract

UMKM perempuan di Jawa Barat menghadapi tantangan berkelanjutan seperti akses pasar terbatas, rendahnya literasi digital, dan lemahnya manajemen usaha, sehingga daya saing di era digital masih rendah. Program pengabdian kepada masyarakat ini bertujuan memberdayakan anggota Sekolah Perempuan Jawa Barat (Sekoper Jabar) melalui pelatihan vokasional e-commerce untuk mentransformasi usaha konvensional menjadi bisnis digital. Kegiatan dilaksanakan dengan pendekatan partisipatif, melibatkan 15 pelaku UMKM perempuan, DP3AKB pemerintah daerah Jawa Barat, dan akademisi. Materi pelatihan mencakup pengenalan e-commerce, pemanfaatan marketplace, pembuatan konten digital, sistem pembayaran daring, serta pemasaran media sosial. Evaluasi dilakukan dengan survei melalui kuesioner (pre-test dan post-test) untuk mengukur peningkatan pengetahuan dan keterampilan peserta dalam bidang e-commerce. Hasil menunjukkan bahwa semua peserta memiliki peningkatan pengetahuan terkait e-commerce, dan branding serta keterampilan pembuatan e-mail, foto produk, edit foto, pembuatan toko di marketplace, membuat Instagram, dan pembukuan sederhana
Design of an Artificial Intelligence-based Personalized Learning Governance Framework Ucu Nugraha; Sri Titi Handayani; Hernalom Sitorus; Agus Nursikuwagus; Yeffry Handoko Putra; Rio Yunanto
SISTEMASI Vol 15, No 7 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i7.6545

Abstract

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 lack an integrated governance-oriented framework. This study aims to develop a Personalized Learning Governance Framework (PLGF) to support inclusive digital literacy through a systematic literature review and bibliometric analysis. The research methodology consisted of Scopus database retrieval, PRISMA-based screening, Biblioshiny-assisted bibliometric analysis, literature synthesis, gap identification, and conceptual framework development. From 196 Scopus-indexed records published between 2023 and 2026, a total of 97 studies were selected for analysis. The findings reveal strong conceptual relationships among AI, personalized learning, inclusive education, accessibility, disability, and ethical technology; however, their systematic integration remains limited. The proposed Personalized Learning Governance Framework (PLGF) comprises five interconnected layers: Learner Disability Profile Input, Machine Learning Personalization Engine, Inclusive Accessibility Adaptation, Governance and Ethical Control Center, and Digital Literacy Outcome Evaluation. The framework provides a comprehensive governance model for supporting accountable, inclusive, and AI-driven personalized learning systems while promoting equitable digital literacy for learners with disabilities.
Metode Classifier Gaussian Naïve Bayes Untuk Klasifikasi Konsumsi Makanan Cepat Saji Pada Tingkat Resiko Obesitas Agus Nursikuwagus; Suherman Suherman
Jurnal Sistem Informasi Vol. 12 No. 2 (2025)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsii.v12i2.10650

Abstract

Proses klasifikasi pada konsumsi makanan cepat saji berdasarkan fakta nutrisi di menu McDonald’s tentunya perlu dilakukan karena untuk mengetahui pola konsumsi makanan dengan kandungan yang beresiko menyebabkan obesitas Obesitas merupakan salah satu penyakit yang tidak menular, akan tetapi banyak terjadi di kalangan remaja. Salah satu dampak dari adanya penyakit obesitas ini yaitu pesatnya arus globalisasi yang memberikan kemudahan pada pengaruh pola hidup, salah satunya yaitu pola konsumsi makanan. Dengan mengkonsumsi makanan cepat saji yang berlebihan maka akan meningkatkan seseorang itu terkena penyakit obesitas. Penelitian ini bertujuan untuk mengetahui pengklasifikasian serta pengelompokan mengenai makanan cepat saji yang nantinya dapat dilakukan prediksi apakah seseorang itu beresiko terkena penyakit obesitas ataupun tidak beresiko terkena penyakit obesitas. Algoritma yang digunakan pada penelitian ini yaitu model Gaussian Naïve Bayes menggunakan Bahasa pemrograman python yang kemudian akan dilakukan pembagian data training dan data testing untuk dilihat seberapa besar nilai akurasinya. Data fakta nutrisi pada makanan cepat saji di McDonald’s ini terdapat 500 dataset menggunakan parameter menu calories, cholesterol, sodium, carbohydrates, sugars, protein, vitamin, calcium, fat, iron, fiber, potassium, minerals, dan condition. Dengan implementasi yang telah dilakukan klasifikasi yaitu 20% data testing dengan jumlah data sebanyak 100 data. Akurasi dicapai 80% dari data training dengan jumlah data sebanyak 400 data
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; Rio Yunanto
Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi Vol. 12 No. 2 (2026): Agustus 2026
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jtk3ti.v12i2.19959

Abstract

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 structure in health AI governance, and the need to build user trust before predictive systems are used in public health services. The research method employed a mixed-methods approach, consisting of a quantitative survey of 100 respondents and semi-structured interviews with 10 informants from the Health Department, Community Health Centers (Puskesmas), the Communication and Information Department (Diskominfo), midwives, and Posyandu cadres. Quantitative data were analyzed using multiple linear regression, while qualitative data were used to strengthen the socio-technical interpretation. The results indicate that XAI and governance have a positive influence on trust. Furthermore, trust and perceived usefulness have a positive influence on behavioral intention. The resulting model identifies transparency, accountability, security, compliance, periodic validation, audits, and feedback as governance mechanisms that link the technical quality of AI with user acceptance. The contribution of this research is a conceptual model of XAI governance that can serve as the basis for developing a transparent, accountable, and user-accepted early warning system for stunting. Keywords – Behavioral Intention; Explainable AI; Socio-Technical; Stunting; Governance.  
Pengembangan Model Dynamic Naive Bayes untuk Pemodelan Risiko Akademik Mahasiswa: Integrasi Filsafat Ilmu Kuhn dan Popper dalam Analisis Risiko Pendidikan Tinggi Ridwan Zulkifli; Dony Waluya Firdaus; Muhamad Nawawi; Agus Nursikuwagus; Usep Mohamad Ishaq; Andrias Darmayadi

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Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v9i1.10409

Abstract

Abstrak - Pemodelan risiko akademik mahasiswa serta prediksi kemungkinan kegagalan studi berdasarkan pola perilaku historis merupakan fokus utama institusi pendidikan tinggi. Model prediksi statis seperti Naive Bayes konvensional sering kali gagal menangkap perubahan perilaku mahasiswa sepanjang waktu pada data longitudinal, sehingga menghasilkan anomali prediksi. Penelitian ini, melalui Tinjauan Literatur Sistematis (Systematic Literature Review/SLR), mengkaji pengembangan Dynamic Naive Bayes (DNB) sebagai perluasan Naive Bayes yang memasukkan dimensi temporal dan transisi antar periode (misalnya perubahan status risiko antar semester), serupa dengan prinsip Dynamic Bayesian Networks. DNB diasumsikan mampu meningkatkan akurasi prediksi sebesar 10–15% dibandingkan model statis. Secara metodologis, pengembangan DNB didasarkan pada kerangka filsafat ilmu Thomas Kuhn dan Karl Popper. Mengacu pada paradigma Kuhn, kegagalan Naive Bayes statis dalam menangani data dinamis mencerminkan tahap crisis dan anomaly dalam normal science pemodelan prediktif risiko akademik, yang mendorong scientific revolution melalui adopsi model dinamis seperti DNB. Sementara itu, dari perspektif Rasionalisme Kritis Popper, hipotesis bahwa DNB memberikan prediksi yang lebih akurat harus terus-menerus diuji secara ketat dan terbuka terhadap falsifikasi empiris menggunakan data baru. Integrasi kedua kerangka ini memastikan bahwa pengembangan DNB tidak hanya bersifat teknis, melainkan juga didasari pada pertumbuhan pengetahuan ilmiah yang kritis, rasional, dan berkelanjutan.Kata kunci: pemodelan risiko akademik; dynamic naive bayes; prediksi kegagalan studi; data longitudinal; tinjauan literatur sistematis; filsafat ilmu,;thomas kuhn; karl popper; Abstract - Student academic risk modeling, the study of predicting the likelihood of failure based on historical behavioral patterns, is a major focus for higher education institutions. Although predictive models have been developed, statistical approaches such as standard Naive Bayes often fail to capture changes in student behavior over time, which are characteristic of longitudinal data. This failure, known as anomalies, highlights the need for new models capable of addressing dynamic and temporal aspects, such as Dynamic Naive Bayes (DNB). This study, through a Systematic Literature Review (SLR), examines the development of a DNB capable of processing or accounting for time factors, such as changes in risk status between semesters. Methodologically, DNB is an extension of Naive Bayes by incorporating transition time, similar to Dynamic Bayesian Networks, which is assumed to improve predictive accuracy by 10-15% compared to statistical models. Philosophically, the DNB development model is interpreted through the framework of Thomas Kuhn and Karl Popper. According to Kuhn, the failure of statistical Naive Bayes on dynamic data led to a crisis and anomaly in normal science (the use of standard predictive models), triggering the need for a scientific revolution (the adoption of DNB). Meanwhile, Popper's perspective (Critical Rationalism) demands that DNB predictive hypotheses must always be open to falsification through aggressive testing against new data. This integration ensures that the DNB development model is based on the critical and continuous growth of scientific knowledge.Keywords: Scientific Revolution; Dynamic Naive Bayes (DNB); Student Academic Risk; Longitudinal Data; Naive Bayes; Philosophy of Science;
Model Blockchain Pada Rekam Medis Terdistribusi : Tinjauan Ontologi dan Epistemologi  Terhadap Integritas Data Sufa Atin; Hani Irmayanti; Andri Heryandi; Agus Nursikuwagus; Usep Mohamad Ishaq; Andrias Darmayadi
Komputa : Jurnal Ilmiah Komputer dan Informatika Vol 15 No 1 (2026): Komputa : Jurnal Ilmiah Komputer dan Informatika
Publisher : Program Studi Teknik Informatika - Universitas Komputer Indonesia (UNIKOM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputa.v15i1.18639

Abstract

Data integrity is a fundamental epistemological foundation for ensuring the validity and reliability of clinical knowledge. However, conventional Electronic Medical Record (EMR) systems still face structural and trust-related challenges due to centralized data management. This approach often leads to information fragmentation, limited interoperability among healthcare facilities, and low patient autonomy in controlling access to medical data. Philosophically, these conditions expose the limitations of an epistemology grounded in single authority, which is vulnerable to data manipulation, opacity, and centralized failures.This study examines, from a philosophical perspective, the role of distributed EMR systems based on permissioned blockchain—particularly Hyperledger Fabric—in strengthening guarantees of medical record data integrity. The research applies a philosophical conceptual analysis combined with a systematic literature review on EMR systems, blockchain technology, and data integrity. The analysis highlights the epistemological limitations of conventional EMRs, the defining features of permissioned blockchain architectures, and the ontological and epistemological implications of distributed consensus mechanisms. The findings indicate that, ontologically, blockchain redefines medical record data as distributed truth that is persistent and resistant to manipulation. Epistemologically, trust shifts from single authority to cryptographic validation and collective consensus, marking a paradigm shift in the legitimation of clinical knowledge in the digital era.
Model Tata Kelola Teknologi Informasi Berkelanjutan untuk Pengelolaan Limbah Bisnis Kedai Kopi Dony Waluya Firdaus; Ridwan Zulkifli; Muhamad Nawawi; Agus Nursikuwagus; Yeffry Handoko Putra; Rio Yunanto
FORMAT Vol 15 No 2 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2026.v15.i2.005

Abstract

Pertumbuhan UMKM coffee shop mendorong adopsi teknologi digital, namun sekaligus meningkatkan tantangan dalam pengelolaan food waste, efisiensi sumber daya, dan keberlanjutan bisnis. Meskipun berbagai teknologi seperti point of sale (POS), inventori digital, analitik data, dan platform food sharing telah banyak digunakan, pemanfaatannya sering kali belum didukung oleh mekanisme tata kelola yang mampu menyelaraskan investasi teknologi dengan tujuan keberlanjutan. Penelitian ini mengembangkan COBIT-Lite Sustainable IT Governance Model for Coffee Shop SMEs (CL-SITG-CS Model), yaitu model tata kelola TI yang disederhanakan dan disesuaikan dengan karakteristik serta keterbatasan sumber daya UMKM. Penelitian menggunakan pendekatan konseptual berbasis sintesis literatur integratif yang mencakup IT Governance, COBIT 2019, digital capability, food waste management, circular economy, dan sustainable performance. Model yang diusulkan terdiri atas enam lapisan, yaitu: (1) COBIT-Lite Governance Direction, (2) SME Digital Governance Enablers, (3) Digital Capability, (4) Food Waste Management, (5) Circular Economy Practices, dan (6) Sustainable SME Performance. Hasil sintesis menunjukkan bahwa adaptasi selektif terhadap objektif COBIT 2019, khususnya domain Evaluate, Direct and Monitor (EDM) untuk tata kelola dan Align, Plan and Organize (APO) untuk pengelolaan sumber daya, data, serta risiko, dapat menjadi fondasi tata kelola TI yang sederhana namun efektif bagi UMKM coffee shop. Model tersebut mampu mendorong pengembangan kapabilitas digital, mengoptimalkan pengurangan food waste, mendukung praktik ekonomi sirkular, serta meningkatkan kinerja keberlanjutan berdasarkan dimensi ekonomi, lingkungan, dan sosial. Secara teoretis, penelitian ini memperluas paradigma IT Governance dari business–IT alignment menuju sustainability-oriented IT Governance, sedangkan secara praktis model CL-SITG-CS menyediakan panduan implementasi tata kelola TI yang sesuai dengan karakteristik UMKM coffee shop.
A Three-Layer Cyber AI Governance Framework for Accountable Reinforcement Learning in National Data Sovereignty Andi Agus Salim; Hasbu Naim Syaddad; Luki Ishwara; Agus Nursikuwagus; Handoko Handoko; Rio Yunanto
Journal of Renewable Engineering Vol. 3 No. 4 (2026): JORE - August
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/8h6yam07

Abstract

The rapid deployment of reinforcement learning (RL) agents in critical national infrastructure has outpaced the governance instruments designed to hold them accountable, creating a widening gap between algorithmic autonomy and sovereign oversight. This article proposes a Three-Layer Cyber-AI Governance Framework that integrates the technical, organizational, and regulatory dimensions of accountability for RL systems operating within national data sovereignty regimes. Using a systematic literature review guided by PRISMA 2020 procedures, twenty-five peer-reviewed and preprint sources published between 2021 and 2026 were analyzed through thematic synthesis to identify recurring governance constructs across cybersecurity, AI ethics, and data-sovereignty scholarship. The synthesis reveals three interdependent layers: an Algorithmic Layer governing reward design, explainability, and adversarial robustness; an Organizational Layer governing human oversight, audit trails, and incident reporting; and a Sovereign-Regulatory Layer governing data localization, cross-border data flow, and international cooperation. The proposed framework departs from existing layered models by embedding a continuous feedback loop that links real-time algorithmic telemetry to national regulatory review, closing the accountability gap that single-layer or purely technical frameworks leave open. The article concludes that accountable reinforcement learning under conditions of national data sovereignty requires coordinated, multi-layer instruments rather than isolated technical fixes, and it outlines an agenda for empirical validation of the framework across diverse regulatory contexts.   
Co-Authors Affan Neskisyah Ramadhan Agus Sevtiana Ahmad Sugiyarta Andi Agus Salim Andri Heryandi Andrias Darmayadi Anggun Fergina Anto Purwanto Bobi Kurniawan S Citra Noviyasari Dadang Munandar Diana Effendi Dodi Syaripudin Ednawati Rainarli Fahmi Reza Ferdiansyah Firdaus, Dony Waluya Fitri Annisa Rachmah Handoko Handoko Hani Irmayanti Hasbu Naim Syaddad Hasbu Naim Syaddad Heri Purwanto Heri Purwanto Hernalom Sitorus Indah Komala Irsyad Djamaludin Iskandar Ikbal Luki Ishwara Lusianto Lusianto Masayu Leylia Khodra Muhamad Nawawi Myrna Dwi Rahmatya Nawawi, Muhamad Popon Dauni Qidir Maulana Binu Soesanto R Rizal Isnanto Raeni Dwi Santy Rinaldi Munir Rio Yunanto Rizal Rachman Rizki Adha Rizki Zulfikar Sidik, Rangga Siti Kurnia Rahayu Sri Dewi Anggadini Sri Erina Damayanti Sri Nurhayati Sri Supatmi Sri Titi Handayani Sufa Atin Suherman Suherman Suherman Suherman Suherman Syahrul Mauluddin Syahrul Mauluddin Syahrul Mauluddin Tono Hartono Ucu Nugraha Ucu Nugraha Umi Narimawati Usep Mohamad Ishaq Wati Aris Astuti Yadi Mulyadi Rohman Yeffry Handoko Putra Yoki Oktorian Sukardi Zainal Arifin Hasibuan zulkifli, ridwan