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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) JURNAL SISTEM INFORMASI BISNIS Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Computech & Bisnis (e-Journal) Jurnas Nasional Teknologi dan Sistem Informasi RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Jurnal CoreIT Informatics for Educators and Professional : Journal of Informatics Matrix : Jurnal Manajemen Teknologi dan Informatika IJIS - Indonesian Journal On Information System Dinamisia: Jurnal Pengabdian Kepada Masyarakat Conference SENATIK STT Adisutjipto Yogyakarta International Journal of New Media Technology Jurnal ULTIMA InfoSys Jurnal ULTIMATICS MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Creative Research Journal IJISTECH (International Journal Of Information System & Technology) KOMPUTIKA - Jurnal Sistem Komputer KOMPUTA : Jurnal Ilmiah Komputer dan Informatika Majalah Ilmiah UNIKOM Jurnal Teknologi dan Informasi Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming @is The Best [Accounting Information System & Information Technology Business Enterprise] Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi Indonesian Community Service and Empowerment Journal (IComSE) IJISTECH International Journal of Research and Applied Technology (INJURATECH) Abdi Teknoyasa Jurnal Pengabdian Teknik dan Ilmu Komputer (PETIK) Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK) Jurnal Pengabdian Masyarakat Tekno INFOKOM Integrated System and Management Technology Big Data Analytics and Data Science
Irawan Afrianto
Universitas Komputer Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Transportation Other

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Artificial Intelligence-Based Early Warning System for Disaster Management: A Literature Review Systematic and Bibliometric Analysis Ridwan Zulkifli; Zainal Arifin Hasibuan; Irawan Afrianto; Bella Hardiyana; Sri Supatmi
Big Data Analytics and Data Science Vol. 1 No. 2 (2026): June: Big Data Analytics and Data Science
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/bdas.v1i2.392

Abstract

The increasing frequency and intensity of natural disasters globally demands the development of more accurate and responsive Early Warning Systems (EWS). In recent years, Artificial Intelligence (AI) has been increasingly applied in natural disaster mitigation, but the approaches used are still diverse and spread across various domains. This study aims to present a systematic literature review on the application of AI and deep learning in natural disaster early warning systems. This review was conducted following the PRISMA 2020 guidelines by analyzing literature published during the 2020–2025 period. The selection process resulted in 102 studies meeting the inclusion criteria, with 30 full-text articles being analyzed in depth to map disaster types, AI methods, data sources, and characteristics of early warning systems developed in various regions, including Asia and Africa. The review results show the dominance of deep learning approaches, particularly time series-based models such as Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU), particularly in flood forecasting and land deformation prediction. More advanced architectures, such as Transformer, are beginning to be adopted to capture long-term temporal patterns, while the combination of convolutional neural networks (CNN) with remote sensing data is widely used for spatial mapping of disaster events. Furthermore, the integration of sensor data and the Internet of Things (IoT) shows potential in supporting more responsive early warning systems. However, most research remains limited to the modeling or simulation stage, with little discussion of the real-time and operational implementation of EWS. This review highlights the gap between AI model development and the implementation of reliable early warning systems and provides a conceptual foundation for the future development of more integrated AI-based disaster mitigation systems.
SYSTEMATIC LITERATURE REVIEW BLOCKCHAIN UNTUK TATA KELOLA E-GOVERNMENT: MEKANISME TRANSPARANSI, AKUNTABILITAS, AUDITABILITY, PRIVASI, DAN ADOPSI DI SEKTOR PUBLIK Ucu Nugraha; Sri Titi Handayani; Hernalom Sitorus; Irawan Afrianto; Estiko Rijanto; Irfan Dwiguna Sumitra
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.7516

Abstract

Digital transformation in government has intensified the need for public service governance that is transparent, accountable, auditable, and privacy-compliant. Blockchain and smart contracts can strengthen governance through immutability, traceability, and rule automation, yet they introduce transparency–privacy trade-offs, cross-agency interoperability constraints, and socio-technical adoption barriers. This study conducts a Systematic Literature Review (SLR) to synthesize governance mechanisms—transparency, accountability, auditability, and privacy—together with technical implementation patterns and adoption factors in e-government. We searched Scopus using a TITLE-ABS-KEY query with Open Access and English-language filters; PRISMA screening yielded 118 included studies. Results map dominant use cases (general e-government services, digital identity/credentials, e-voting, and cross-agency data sharing) and show that evidence maturity is still prototype-heavy (63/118). A critical finding is pervasive under-reporting of key technical descriptors that weakens synthesis and comparability: 72/118 studies do not specify the blockchain type and 85/118 do not report the platform; 109/118 also omit on-chain/off-chain design. The SLR contributes an evidence map and governance mechanism taxonomy, and can be operationalized as an assessment checklist for governments/consultants to question governance mechanisms, planned outcome metrics, and transparency–privacy trade-offs prior to deployment.
Design Blockchain Architecture for Population Data Management to Realize a Smart City in Cimahi, West Java, Indonesia Eddy Prasetyo Nugroho; Irawan Afrianto; Erna Piantari; Ani Anisyah; Dwi Novia Al Husaeni; Ibrahim Danial Bisulthon; Irham Jundurrahmaan
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 9 No. 4 (2023): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i4.27493

Abstract

Smart city as a concept of city development which integrates information and communication technology with the intention of optimizing city management becomes a major goal for Indonesia, especially through the movement towards 100 Smart Cities. However, population data management is crucial in achieving this for optimal planning and management. Personal data protection becomes a crucial challenge with the rapid population growth and mobility in cities. The need for a more reliable protection system is very necessary. This research proposes a blockchain architecture that not only manages digital identities but also population data. The focus is population administration in Cimahi City, West Java, with the hope of providing security, transparency, and a strong audit trail for all population data. The contribution of this research is to design a blockchain architecture specifically for population data management, meeting the needs of population administration in cities, especially the city of Cimahi. Through a blockchain architecture development approach, this research considers the diverse administrative needs of the population and applies a blockchain model that enables data security and integrity. This implementation of blockchain architecture provides promising results in maintaining the security and integrity of population data, enabling greater transparency and auditability. This implementation of blockchain architecture provides promising results in maintaining the security and integrity of population data, enabling greater transparency and auditability. This research also shows that the use of blockchain technology specifically for population data management can be a reliable and innovative solution in ensuring the security and reliability of data important for smart city development.However, this research has limited access to central data, so the data obtained is still very limited. Therefore, further research is needed to follow up on these limitations. Apart from that, this research is also expected to provide knowledge and solutions in securing data, especially population data in government environments.
A Design Science Roadmap for Auditable Ocular Disease Classification: Evidence Mapping of AI Governance Gaps Rizal Rachman; Eddy Soeryanto Soegoto; Irawan Afrianto; Irfan Dwiguna sumitra; Zainal Arifin Hasibuan
Integrated System and Management Technology Vol. 1 No. 2 (2026): April: Integrated System and Management Technology
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/ismat.v1i2.442

Abstract

The integration of Artificial Intelligence (AI) into ocular diagnostics has led to substantial improvements in predictive accuracy. However, a persistent gap remains between technical performance and clinical accountability. The present study addresses the "accuracy trap" and the lack of transparency in current deep learning models for ocular disease classification. The objective of the research is twofold: firstly, to identify methodological deficiencies in extant literature and, secondly, to propose a standardised evaluative framework to ensure model auditability. A systematic evidence mapping (SEM) approach, combined with design science research methodology (DSRM), was utilised to scrutinise 10 high-impact Scopus-indexed studies published between 2023 and 2026. The findings reveal a critical "predictive validity gap," where 80% of the evidence base relies on aggregate accuracy while 90% remains "black box" without functional Explainable AI (XAI) layers. The synthesis of these gaps resulted in the formulation of a conceptual roadmap that mandated multi-metric evaluation, incorporating Cohen's Kappa, and pathophysiological traceability. In conclusion, this research establishes that clinical deployment of AI must transition from model-centric success to a governance-oriented paradigm that prioritises decision utility and auditable audit trails. This roadmap provides a rigorous blueprint for the future implementation of transparent and accountable medical AI systems.
Pemberdayaan Masyarakat Desa Rancabango melalui Pelatihan Canva dan Pemanfaatan Media Sosial untuk Pemasaran Produk Unggulan Richi Dwi Agustia; Hanhan Maulana; Irawan Afrianto; Alif Finandhita; Sufa'atin
Jurnal Pengabdian Teknik dan Ilmu Komputer (Petik) PETIK : Jurnal Pengabdian Teknik dan Ilmu Komputer Vol. 5 No. 2 Desember 2025
Publisher : Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/petik.v5i2.18254

Abstract

Perangkat desa maupun masyarakat desa Rancabango, masih belum memanfaatkan teknologi informasi dengan baik, khususnya dalam mendukung pemasaran produk unggulan desa. Minimnya keterampilan dalam pembuatan konten digital yang menarik menyebabkan promosi produk belum mampu menarik perhatian secara optimal. Padahal, media sosial memiliki potensi besar sebagai sarana distribusi informasi dan promosi, namun penggunaannya oleh perangkat desa maupun masyarakat masih sangat terbatas. Kondisi ini berdampak pada rendahnya visibilitas produk unggulan desa di tingkat yang lebih luas, sehingga peluang pengembangan ekonomi lokal menjadi kurang maksimal. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan literasi digital masyarakat Desa Rancabango melalui pelatihan pemanfaatan media sosial serta lokakarya pembuatan konten menggunakan Canva. Metode pelaksanaan meliputi penyampaian materi melalui seminar, lokakarya, dan pendampingan peserta. Hasil kegiatan menunjukkan adanya peningkatan keterampilan peserta dalam membuat logo produk unggulan secara mandiri. Kegiatan pelatihan dinilai sangat baik oleh peserta dengan rata-rata skor kepuasan berada pada kisaran 4.00 hingga 4.57 dari 10 aspek penilaian yang ada. Pelatihan ini berhasil memberikan dampak positif terhadap kemampuan masyarakat dalam mengoptimalkan teknologi digital, sehingga diharapkan mampu meningkatkan promosi produk unggulan desa serta mendorong perkembangan ekonomi lokal secara berkelanjutan.
Teknologi Distributed Ledger untuk Transparansi Rantai Pasok Obat dalam Layanan Kesehatan Publik : Tinjauan Literatur Sistematis Lusianto Lusianto; Rizki Adha; Dodi Syaripudin; Estiko Rijanto; Irawan Afrianto; Irfan Dwiguna Sumitra
Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK) Vol 5 No 1 (2026): Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK)
Publisher : STMIK Amika Soppeng

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70247/jumistik.v5i1.267

Abstract

Sektor kesehatan publik Indonesia, khususnya program Prolanis BPJS, menghadapi tantangan kritikal berupa peredaran obat palsu dan ketidakakuratan data inventaris. Penelitian ini menggunakan metode Systematic Literature Review (SLR) berbasis pedoman PRISMA 2020 untuk mengevaluasi solusi teknologi yang tepat. Hasil analisis terhadap 36 artikel terpilih merekomendasikan adopsi Hyperledger Fabric Consortium Blockchain yang terintegrasi dengan IoT dan kode QR/NFC. Arsitektur ini dinilai efektif menjamin keaslian obat (provenance), mengotomatisasi manajemen stok melalui smart contract, serta menyeimbangkan transparansi publik dengan privasi data pasien sesuai regulasi. Meskipun terdapat tantangan pada interoperabilitas sistem lama dan infrastruktur, studi ini mengusulkan peta jalan implementasi bertahap, mulai dari percontohan di Bandung hingga ekspansi nasional, guna memperkuat rantai pasok farmasi di negara berkembang. Kata Kunci: Rantai Pasok Farmasi, Hyperledger Fabric, Prolanis, Smart Contract, Provenance Obat.
Success Factors for Implementing Robotic Process Automation (RPA) in Accounting Information Systems within the Trade Sector: a Systematic Literature Review Dony Waluya Firdaus; Ridwan Zulkifli; Muhamad Nawawi; Irawan Afrianto; Estiko Rijanto; Irfan Sumitra
@is The Best : Accounting Information Systems and Information Technology Business Enterprise Vol 10 No 2 (2025): @is The Best : Accounting Information Systems and Information Technology Busines
Publisher : Labkat Press KA FTIK UNIKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/aisthebest.v10i2.18687

Abstract

Digital transformation requires more operational efficiency in the trade sector, with RPA turning out to be one of the key technologies for modernizing Accounting Information Systems. This paper seeks to identify the adoption patterns and dominant factors determining the success of RPA implementation in finance and accounting functions within the trade sector-a domain which, so far, has been underexplored as compared to the banking sector. By means of a Systematic Literature Review with PRISMA 2020 guidelines, along with the bibliometric analysis of 72 Scopus-indexed articles published between 2020 and 2025, this study maps the evolution in technology adoption. The study portrays that RPA's adoption has moved beyond the automation of mere back-office repetitive tasks, such as reconciliation and data entry, toward the orchestration of end-to-end trade processes spanning procurement and logistics, while integrating with AI for handling unstructured data. The study further finds evidence that successful implementation relies on a maturity path leading from accurate selection of routine and high-volume processes to standardization of data input. The sustainability of RPA advantages is defined by organizational capabilities through CoE and successful change management, while supported by strategic governance through alignment of business objectives with information technology.   The result of this study provides a theoretical framework and practical guidance for trading firms in ensuring investments in RPA result in performance metrics and increased compliance.
Co-Authors Abdul Razak, Rizky Septiana Agus Sevtiana Agustia, Richi Dwi Alif Finandhita Alif Finandhita Ana Hadiana Andri Heryandi Andri Heryandi Andri Heryandi Andry Maulana Awaludin Angga Setiyadi Ani Anisyah Arinten Dewi Hidayat Asali, Frans Fernando Atin, S Atin, Sufa Bella Hardiyana Bobi Kurniawan, Bobi Dedeng Hirawan Dedeng Hirawan, Dedeng Deni Kurniawan, Deni Derry Berni Cahyady Devy Normalasari Dodi Syaripudin Dwi Agustia, Richi Dwi Novia Al Husaeni Eddy Prasetyo Nugroho Eddy Soeryanto Soegoto Edwin Fajar Nurdiansyah Egi Cahyo Prabowo Eko Budi Setiawan Elisabet Nila S. C. P Erna Piantari Estiko Rijanto Estiko Rijanto Estiko Rijanto Estiko Rijanto Fazri Muhamad Kurnia Finadhita, Alif Finandhita, Alif Firdaus Musyafi Firdaus, Dony Waluya Furqon, Rifan Muhammad Hanhan Maulana Harjono, Risqi Windu Hernalom Sitorus Heryandi, Andri Ibrahim Danial Bisulthon Ifan Dwiguna Irfan Dwiguna Irfan Dwiguna Saputra Irfan Dwiguna Sumitra Irfan Sumitra Irham Jundurrahmaan Janivita Joto Sudirman Joto Sudirman, Janivita Lia Warlina Lusianto Lusianto M Wisnu Hidayatulloh Maulana Awaludin, Andri Maulana, Hanhan Mouhamad Hatta Hiroshi Sasmita Muhamad Nawawi Muhammad Fahmi Irfan Muhammad Ilham Budiawan Muhammad Yanuar, Eko Mutia, S Nanang Abdurahman Nizar Rabbi Radliya Nurhikmah Taliasih Petrus Sokibi Putra Hilmana, Primarazaq Noorshalih Rafdhi, A A Raju Riyanda Rakhmanuddin, Iid Ramadhan Wijanarko Resviani, Devi Richi Dwi Agustia Richi Dwi Agustia Ridho Taufiq Subagio Rifqi Fahrudin Rini Nuraini Sukmana Rizal Rachman Rizki Adha Rizki, Ikhsan Nurul Setiyadi, Angga Sri Supatmi Sri Titi Handayani Sufa Atin Sufa Atin Sufa Atin Sufa'atin Sufa’atin Sufa’atin Suryana, Taryana Suseno, Taufiq Rizky Darmawan Taryana Suryana Ucu Nugraha Widayanti, A Yanuar, Eko Muhammad Yanyan Herdiansyah Yasmi Afrizal Yatawa, H S Yulistian Suryono Zainal Arifin Hasibuan zulkifli, ridwan