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Adaptive Traffic Signal System Utilizing YOLOv11 and Fuzzy Logic for Congestion Mitigation Permadi, Dio Damas; Yudono, Muchtar Ali Setyo; Kuspranoto, Abdul Haris; Rozandi, Ardin; Artiyasa, Marina; Mubarok, Alvin; Septiani, Dwi
SISTEMASI Vol 15, No 1 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i1.5865

Abstract

The increasing number of vehicles in urban and suburban areas has led to traffic congestion, resulting in longer travel times, higher exhaust emissions, and an increased risk of accidents. Conventional fixed-time traffic signal systems often fail to respond dynamically to changing traffic conditions, leading to inefficient vehicle queues. This study proposes the development of an adaptive traffic signal system that utilizes YOLOv11 and fuzzy logic to detect vehicle volume and adjust green light durations in real time. YOLOv11 is employed to detect vehicles in each lane, while fuzzy logic is used to regulate green signal durations based on the detected vehicle counts. Experimental results demonstrate a detection accuracy of 0.92 and a recall of 0.93. The green light duration varies from 80 seconds for low traffic volumes to 100 seconds for high traffic volumes. The traffic signal cycle is dynamically adjusted according to vehicle density, with a maximum total cycle time of 100 seconds. Overall, the proposed system is proven effective in reducing congestion and improving traffic management efficiency at intersections with high vehicle volumes.
Peningkatan Kesadaran Kesehatan Masyarakat melalui Sosialisasi Pemantauan Kesehatan Mandiri Berbasis Smart Watch di Gunungpati Kota Semarang Hadi, Syaikhul; Puspita, Rina; Kuspranoto, Abdul Haris; Anzhari, Della Hashfi
Mestaka: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 2 (2026): APRIL 2026
Publisher : Pakis Journal Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58184/mestaka.v5i2.929

Abstract

Hypertension is one of the non-communicable diseases with an increasing prevalence in Indonesia and is often not detected early due to the low level of public awareness in conducting regular health monitoring. The use of wearable technology such as smartwatches can serve as an alternative tool for independent health monitoring that is easily accessible to the community. This community service activity aimed to improve public understanding of independent health monitoring using smartwatches and to increase awareness of the importance of blood donation. The activity was conducted in RW VII Gunungpati Village, Semarang City, involving 114 participants from the PKK community group. The methods used included educational socialization, smartwatch usage demonstrations, and evaluation through pretest and posttest to measure changes in participants’ knowledge levels. The results showed a significant increase in participants’ understanding of health monitoring and smartwatch utilization, where the good knowledge category increased from 15.8% in the pretest to 68.4% in the posttest. In addition, participants’ understanding of the role of the Indonesian Red Cross and the importance of blood donation also increased from 18.4% to 73.7%. These findings indicate that wearable technology-based education is effective in improving community health literacy and has the potential to support the development of a Blood Donor Cadre Village program in Gunungpati.