Search Results - "Winarno, Idris"

Event-driven integration of electronic medical records with blockchain and InterPlanetary file system.

Authors: Arissabarno, Cahyo Sukaridhoto, Sritrusta Winarno, Idris et al.

Source: Bulletin of Electrical Engineering & Informatics; Jun2025, Vol. 14 Issue 3, p2131-2142, 12p

Performance evaluation of serverless cloud-native API deployment: a case study on a mobile health application.

Authors: Irfansyah, Maulana Bintang Waheed, Bilal Winarno, Idris et al.

Source: Telkomnika. Feb2026, Vol. 24 Issue 1, p34-48. 15p.

A Performance Evaluation of Resilient Server with a Self-Repair Network Model.

Authors: Winarno, Idris Ishida, Yoshiteru Okamoto, Takeshi

Source: Mobile Networks & Applications; Jun2019, Vol. 24 Issue 3, p1095-1103, 9p

Web Application Security Education Platform Based on OWASP API Security Project.

Authors: Idris, Muhammad Syarif, Iwan Winarno, Idris

Source: EMITTER International Journal of Engineering Technology; Dec2022, Vol. 10 Issue 2, p246-261, 16p

SDN-Based Network Intrusion Detection as DDoS defense system for Virtualization Environment.

Authors: Usman, Saifudin Winarno, Idris Sudarsono, Amang

Source: EMITTER International Journal of Engineering Technology; Dec2021, Vol. 9 Issue 2, p252-267, 16p

Student Behavior Analysis to Predict Learning Styles Based Felder Silverman Model Using Ensemble Tree Method.

Authors: Ikawati, Yunia Al Rasyid, M. Udin Harun Winarno, Idris

Source: EMITTER International Journal of Engineering Technology; 2021, Vol. 9 Issue 1, p92-106, 15p

Towards a Resilient Server with an External VMI in the Virtualization Environment.

Authors: Utomo, Agus Priyo Winarno, Idris Syarif, Iwan

Source: EMITTER International Journal of Engineering Technology; 2020, Vol. 8 Issue 1, p49-66, 18p

Hole feature recognition from 3D solid model for CAIP application.

Authors: Pratama, Andri Wijayanto, Edo Dwi Hendrawan, Yogi Muldani et al.

Source: AIP Conference Proceedings. 2023, Vol. 2665 Issue 1, p1-10. 10p.

Performance evaluation of water quality for shrimp farming using deep learning classification.

Authors: Suasono, Zaikhul Sulthon Setiawardhana, Setiawardhana Gunawan, Agus Indra et al.

Source: Aquacultural Engineering. Jan2026, Vol. 112, pN.PAG-N.PAG. 1p.