Analysis of Drainage Channel Capacity at Sindang Street in Sindang House Pump Area

Imamuddin, Mohammad; Cahyanto, Dwi

doi:10.32832/astonjadro.v9i2.3387

Cited by 2 publications

(2 citation statements)

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“…The water consumed must be free from contamination and safe for health, because contaminated water can cause various diseases such as diarrhea, cholera and other diseases caused by pathogens. Therefore, a good and reliable clean water supply system is very necessary to ensure that the water reaching households meets health standards (Barid B, Afanda BO, 2022;Imamuddin M, Cahyanto D, 2020).…”

Section: Imam Farisi Mardi Hardjiantomentioning

confidence: 99%

Long Short-Term Memory Optimization Using Hybrid Sparrow Search Algorithm and Particle Swarm Optimization in Prediction of Water Level at Sluice Gates

Farisi,

Hardjianto

2024

Astonjadro

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During the period from 2014 to 2020, approximately 24 out of 44 districts in Jakarta experienced flooding disasters. Notably, at the beginning of January 2020, the Manggarai floodgate recorded a water height of 962 cm, categorized under Alert Level 1, indicating a critical and hazardous situation that required the evacuation of residents to safe places. This circumstance prompted the local government to enhance the monitoring and prediction system for water levels across all floodgates in the DKI Jakarta region. By utilizing improved water height predictions, the government can prepare more effective mitigation measures, such as reinforcing embankments, improving water channels, and implementing preventive actions prior to the occurrence of flooding disasters. The forecasting technique employing Long Short-Term Memory (LSTM) has been widely employed in previous research to predict water heights. Unfortunately, the accuracy of LSTM heavily depends on the manual selection of hyperparameters. The optimization of hyperparameters in LSTM is essential to find the optimal combination of values that influence the performance of the LSTM network. The objective is to maximize the model's performance, such as accuracy or lower error rates on previously unseen data. This optimization process plays a crucial role in achieving good results from the LSTM model, as the right choice of hyperparameters can yield a model that better understands complex patterns in the data. This research aims to determine the optimal hyperparameters using a hybrid optimization method. The hyperparameter optimization involves a combined approach of Sparrow Search Algorithm (SSA) and Particle Swarm Optimization (PSO) known as Hybrid SSA-PSO. This hybrid method is employed to reduce the error rate in predictions. The research outcomes, utilizing the Hybrid SSA-PSO optimization, revealed the smallest Root Mean Square Error (RMSE) evaluation at the Pulo Gadung water gate, measuring 9,553.

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Section: Imam Farisi Mardi Hardjiantomentioning

confidence: 99%

Long Short-Term Memory Optimization Using Hybrid Sparrow Search Algorithm and Particle Swarm Optimization in Prediction of Water Level at Sluice Gates

Farisi,

Hardjianto

2024

Astonjadro

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“…Road maintenance, drainage and management of cables on the left and right of the road are important aspects in transportation infrastructure management. Sustainability, safety and comfort of road users depend heavily on good maintenance of these elements (Yusuf M, 2020;Naufal A et.al, 2020;Imamuddin M, Cahyanto D, 2020).…”

Section: Introductionmentioning

confidence: 99%

Study of Road Utility Planning as an Effort to Create an Environmentally Friendly Area on the Jalan Ampera Medan Corridor

Siregar,

Asfiati,

Dewi

2024

Astonjadro

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Designing the utility planning concept for the Ampera Medan road corridor, it starts with identifying the condition of the drainage system, traffic signs, road markings, public road lighting, and road user safety devices. Furthermore, a study of changes to road utility requirements is carried out by road management guidelines and road environmental conditions in the form of improving kindness on the road surface, installing signs and warning devices, installing flashing lights, removing roadblocks, and installing noise tape based on certain distances. This research aims to produce a design concept for road utility planning that is environmentally friendly and sustainable (sustainable road) under the guidelines of the Ministry of PUPR while still paying attention to basic human needs and economic growth. Research and knowledge related to the concept of environmentally friendly road utility planning on the Jalan Ampera Medan corridor is a contribution to scientific work that can provide benefits to the Muhammadiyah University of North Sumatra and the Medan City Government as material for consideration and decisions in the construction of environmentally friendly roads (green roads) in the city Medan.

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Analysis of Drainage Channel Capacity at Sindang Street in Sindang House Pump Area

Cited by 2 publications

References 0 publications

Long Short-Term Memory Optimization Using Hybrid Sparrow Search Algorithm and Particle Swarm Optimization in Prediction of Water Level at Sluice Gates

Long Short-Term Memory Optimization Using Hybrid Sparrow Search Algorithm and Particle Swarm Optimization in Prediction of Water Level at Sluice Gates

Study of Road Utility Planning as an Effort to Create an Environmentally Friendly Area on the Jalan Ampera Medan Corridor

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