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Analysis of Actual Operation and Maintenance Cost Requirements (AKNOP) for the Cikahuripan Irrigation Network in Sukabumi Regency Cece Suhendi; Ardin Rozandi
Momentum International Journal of Civil Engineering (MIJCE) Vol. 2 No. 2 (2026): July
Publisher : Marasofi International Media and Publishing (MIMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64123/mijce.v2.i2.3

Abstract

The Cikahuripan Irrigation Area in Sukabumi Regency plays an important role in supporting agricultural productivity, particularly rice cultivation. However, the irrigation network has experienced functional degradation due to sediment accumulation, erosion, and malfunctioning water control structures, resulting in suboptimal water distribution. This study aims to determine the Actual Operation and Maintenance Cost Requirement (AKNOP) and identify priority maintenance activities needed to restore irrigation performance. The research employed an observational method through field inspections, inventory surveys, and analysis of irrigation infrastructure conditions. Primary and secondary data were collected from relevant agencies and direct observations. The AKNOP calculation was carried out by identifying operation and maintenance activities, determining work volumes, and estimating costs based on applicable unit price analyses. The results showed that the total AKNOP for the Cikahuripan Irrigation Network was Rp. 493,240,000, consisting of operation costs of Rp. 132,302,800 (30%), routine maintenance costs of Rp. 293,306,813 (65%), and periodic maintenance costs of Rp. 22,731,003 (5%). The study concludes that routine maintenance activities constitute the largest expenditure due to the extensive deterioration of irrigation facilities. It is recommended that responsible agencies prioritize sediment removal, vegetation control, and repair of damaged structures. The findings provide a practical basis for budgeting and improving irrigation management to support sustainable agricultural productivity. 
Adaptive Traffic Signal System Utilizing YOLOv11 and Fuzzy Logic for Congestion Mitigation Dio Damas Permadi; Muchtar Ali Setyo Yudono; Abdul Haris Kuspranoto; Ardin Rozandi; Marina Artiyasa; Alvin Mubarok; Dwi Septiani
SISTEMASI Vol 15, No 1 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

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.