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All Journal JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Sisfokom (Sistem Informasi dan Komputer)
Bariyah, Taufiqotul
Universitas Internasional Semen Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Library & Information Science

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IMPLEMENTATION OF BLUETOOTH LOW ENERGY TECHNOLOGY AND TRILATERATION METHOD FOR INDOOR ROUTE SEARCH Rizaldi, Bahri; Pambudi, Doni Setio; Bariyah, Taufiqotul
JUTI: Jurnal Ilmiah Teknologi Informasi Vol. 18, No. 2, July 2020
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v18i2.a897

Abstract

Currently, route search is made easier by the presence of a Global Positioning System (GPS) technology that can be used by using the Maps application on a smartphone. By using the Maps application, people can find out their current location and can find a route to their desired destination. But the level of GPS accuracy will decrease if the user is in a building or in a closed room. This is caused by the satellite signals being sent that are not able to penetrate thick walls or concrete so that the search for routes using GPS is limited to the search for routes outside the building or outdoors. In this research, Bluetooth Low Energy and trilateration are used to determine the location in a room or building and Dijkstra's algorithm for finding the shortest route to the destination location. The proposed method has a location determination error of 0.728 meters with a distance between the user and the beacon less than 10 meters to get a stable signal.
Analysis of Contributing Factors and Prediction of Urban Waste Generation Using PSO-ANN Bariyah, Taufiqotul; Miftahurrohmah, Brina; Faria, Niswatun
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 4 (2025): NOVEMBER
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v14i4.2425

Abstract

This research examines the factors influencing waste generation in urban areas, with a focus on East Java, which has experienced increased waste due to population growth and urbanization. Using the Spearman correlation method, it was found that unemployment (ρ = 0.87) and population (ρ = 0.865) are significantly related to waste generation. However, HDI (ρ = -0.152) and population density (ρ = -0.169) are uncorrelated with waste generation. Furthermore, waste generation predictions will be built using the Particle Swarm Optimization-Artificial Neural Network (PSO-ANN) model. The modeling results showed that the PSO-ANN architecture with one hidden layer achieved RMSE of 0.125 and MAE of 0.109, while the model with two hidden layers achieved RMSE of 0.123 and MAE of 0.105. These findings indicate that the two-hidden-layer PSO-ANN model is more effective in predicting waste generation than the single-layer model. This study recommends exploring alternative methods and additional variables to provide a more comprehensive examination and analysis of waste disposal management in the future.
Co-Authors Faria, Niswatun Miftahurrohmah, Brina Pambudi, Doni Setio Rizaldi, Bahri