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All Journal Formosa Journal of Science and Technology (FJST) Jurnal Indonesia Sosial Sains
Supriyade, Supriyade
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Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Neuroscience Physics Social Sciences

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Bandwidth Management with Mikrotik OS Routers Using the Per Connection Queue Method Sapriyadi, Sapriyadi; Zuhro, Siti Fatimatul; Naim, Abu; Nurfy, Ariadin; Supriyade, Supriyade; Husodo, Purwani; Wardhani, Annisa Risqi Sulistya Kusuma; Budianto, Rizki
Formosa Journal of Science and Technology Vol. 3 No. 10 (2024): October 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v3i10.11776

Abstract

Services that use the Internet as Business Cafe, Online Games, education, defense and security, online businesses, e-mail service providers, and others will experience barriers in carrying out their activities. Often problems arise in internet service providers are setting up or managing broadband. The implementation of broadband management is aimed at optimizing the bandwidth available to provide broadband guarantees for Internet users, such as network congestion (through traffic) and unstable broadband received by Internet service providers (ISPs). Bandwidth management in Mikrotik with the PCQ (Per Connection Queue) method, basically, uses queue methods for the bandwidth balance used on multiple clients. The main purpose of this method is to automatically and unevenly share bandwidth sharing, with a simple turn-line if only one subscriber actively uses another temporary bandwidth will be in the standby position, then the subscriber can use maximum bandwidth which is available, but if another customer is active, then the maximum bandwidth can be used by both customers who have maximum width / 2, if there are subscribers at the same time active, each will receive the maximum bandwidth allowance / all clients, so will not be a fair wide-ranging distribution for all customers.
Analysis of Time Series Water Level Data Prediction Using Deep Learning Method at the Water Gate of DKI Jakarta Water Resources Office Supriyade, Supriyade; Firmansyah, Gerry; Akbar, Habibullah; Tjahjono, Budi
Jurnal Indonesia Sosial Sains Vol. 4 No. 09 (2023): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v4i09.883

Abstract

Indonesia has 2 seasons, namely the dry season and the rainy season. During the rainy season, many points in the DKI Jakarta area experience flooding or inundation. The reason why Jakarta often experiences flooding is caused by several factors, including local rain floods, shipment floods and tidal floods. The DKI Jakarta Water Resources Agency currently does not have a system that can predict future water levels by referring to past and present water level data. Through this background, the author tries to conduct research in one of the floodgates in the northern area of DKI Jakarta in predicting water levels using deep learning methods , namely Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM). The purpose of this research is to analyze the best deep learning models and predict water level time series data. From the results of the analysis carried out, the best deep learning model is Long Short Term Memory (LSTM) using several tests such as n-input, split data with a composition of 90.33% train data and 9.67% test data , as well as testing of different parameters including epoch, batch size, learning rate, dropout , so the results obtained are the lowest error values with RMSE (17.65), MAPE (0.29), MAE (3.37) and the time needed in the process (runtime) is 39 minutes
Co-Authors Abu Naim Akbar, Habibullah BUDI TJAHJONO Budianto, Rizki Firmansyah, Gerry Nurfy, Ariadin Purwani Husodo Sapriyadi, Wandi Siti Fatimatul Zuhroh Wardhani, Annisa Risqi Sulistya Kusuma