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p-Index From 2021 - 2026
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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Telenursing (JOTING)
Zulkarnain Zulkarnain
Universitas Sriwijaya
Computer Science & IT Health Professions Nursing

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Evaluasi Penyelenggaraan Surveilans COVID-19 di Puskesmas Linda Zuliana; Haerawati Idris; Zulkarnain Zulkarnain
Journal of Telenursing (JOTING) Vol 4 No 2 (2022): Journal of Telenursing (JOTING)
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/joting.v4i2.4392

Abstract

This study aims to evaluate the input of the puskesmas, including personnel resources (Head of City Health Office, Head of P2P Dinkes, Head of Health Center, COVID manager of Puskesmas, Puskesmas staff, COVID tracer, Community) facilities, funds and methods. The method used is descriptive qualitative. The results showed that the COVID-19 surveillance staff aspect was not appropriate for educational qualifications; the method used was following the guidebook such as the availability of prevention and evaluation guidelines, the available facilities/infrastructure in terms of quantity or quality, the communication tools were adequate and the equipment was out of stock medical use is also good, but PPE clothes are limited. The method for achieving the target of finding suspected COVID-19 is suitable. Funds used in the implementation of surveillance activities are sourced from APBD funds and the amount of the budget follows the needs, for funds for equipment are dropped from the health office. The implementation of case findings has been carried out according to procedures, and supervision of the increase in cases has also been carried out correctly. In conclusion, indicators of the success of implementing COVID-19 epidemiological surveillance at the Jambi City Health Center can be seen from the achievement of the set targets and the achievement of testing targets for case finding. The reason for not achieving the targets in testing and tracing according to informants' statements is because of many rejections in the Community. Keywords: COVID-19, Evaluation, Surveillance
Performance assessment of an adaptive model predictive control with torque braking for lane changes Zulkarnain Zulkarnain; Irwin Bizzy; Armin Sofijan; Mohd Hatta Mohammed Ariff
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 24, No 2: April 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v24i2.27167

Abstract

The growing demand for autonomous vehicles requires robust control systems that can maintain safety during complex maneuvers like lane changes. However, a significant research gap exists in developing controllers that effectively manage the combined challenges of steering and braking across diverse and unpredictable driving conditions, such as varying speeds and low-friction road surfaces. This research addresses this gap by proposing and evaluating an adaptive model predictive control (MPC) system integrated with a torque braking distribution strategy. The key advantage of our adaptive method is its ability to continuously update its internal model in real-time, allowing it to anticipate and respond to changing road friction and vehicle dynamics more effectively than a static controller. In simulations of a lane change maneuver across speeds of 10-25 m/s and road friction levels from 0.3 (icy) to 1 (dry asphalt), the proposed system demonstrated a substantial performance improvement. The proposed framework demonstrated a 52.8% average reduction in lateral tracking error and enhanced stability by reducing the yaw rate by up to 41.8% on low-friction surfaces, compared to a non-adaptive MPC baseline. These results quantitatively confirm that our framework’s synergistic coordination of steering and braking significantly enhances the safety, precision, and reliability of autonomous lane change maneuvers.
Co-Authors Armin Sofijan Gusrinety Gusrinety Haerawati Idris Irwin Bizzy Jamal Jamal Linda Zuliana Luci Juniarti Mohd Hatta Mohammed Ariff Novrikasari Novrikasari, Novrikasari Pierre Ramadha K Rizma Adlia Syakurah