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All Journal Building of Informatics, Technology and Science Jurnal Algoritma
Abdul Aziz, RZ
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Computer Science & IT

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Prediksi Kabut Bandar Udara di Indonesia Menggunakan Neural Network dan Radom Forest Kurniawan, Agustinus; Abdul Aziz, RZ
Building of Informatics, Technology and Science (BITS) Vol 6 No 2 (2024): September 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i2.5544

Abstract

Fog at airports greatly disrupts flight operations, limiting visibility and thus having a significant impact on flight operations such as taxiing, takeoff and landing. The biggest challenge in fog prediction is the inconsistent and chaotic complexity of atmospheric processes. This research uses the Neural Network algorithm and random forest algorithm to predict fog at Radin Inten II Airport in Lampung. The data used in this study include 14 weather attributes collected hourly from 2020 to 2024. Meteorological variables analyzed include dry bulb temperature, wet bulb temperature, dew point, relative humidity, barometric pressure QFE and QFF, and fog-related weather conditions . The predictive model was optimized by hyperparameter tuning including optimizer selection (SGD, Adam), learning rate ( 0.001), and number of epochs ( 300). The research results show that the random forest model with optimal configuration provides the highest accuracy of 69.44% in fog prediction. The Backpropagasi Neural Network also shows good performance well with an accuracy of 67.23%. By using this model, fog predictions can be made more accurate and faster, providing significant benefits to aviation safety. This research highlights the importance of using diverse data and rigorous evaluation methods to create reliable and effective weather prediction models.
Analisis Quality Of Service (QoS) Jaringan Internet Pelanggan Pada ISP Jalurdata.Net Menggunakan Metode Hierarchical Token Bucket (HTB) dan Per Connection Queue (PCQ) AWALIYANI, IKNA; Abdul Aziz, RZ
Jurnal Algoritma Vol 21 No 2 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-2.1792

Abstract

Problems regarding bandwidth continuity on an internet network often occur due to the lack of maximum utilization of Quality of Service. Without bandwidth management, problems will occur on a network. Quality of Service is the right way to allocate bandwidth in a network because it not only limits bandwidth but also maintains even and stable bandwidth quality. In this study, the methods used are the Hierarchical Token Bucket (HTB) and Per Connection Queue (PCQ) methods by calculating parameters such as Throughput, Delay, Jitter, and Packet loss. The benefit of this research is to compare the two bandwidth management methods and find the most effective method to implement in an ISP. The final comparison of QoS values using the HTB and PCQ methods based on the parameter index values is the same, but after comparing based on the actual parameter values, the PCQ (Peer Connection Queue) method shows superior performance with a higher throughput value of 84%, lower jitter at 13.0948%, and lower packet loss at 0.03%. Although HTB has lower delay at 76.758 ms, the PCQ method is more significant in network scenarios, particularly for stability and consistency in data transmission.
Co-Authors Ikna Awaliyani Kurniawan, Agustinus