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All Journal Jurnal Ilmiah Kursor Scan : Jurnal Teknologi Informasi dan Komunikasi Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer InComTech: Jurnal Telekomunikasi dan Komputer bit-Tech Jifosi Nusantara Science and Technology Proceedings Jurnal Informatika Dan Tekonologi Komputer (JITEK) Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Jurnal Informatika Dan Tekonologi Komputer
Basuki Rahmat
Teknik Informatika Fakultas Ilmu Komputer Universitas Pembangunan Nasional “Veteran” Jawa Timur Jl. Raya Rungkut Madya, Gunung Anyar, Surabaya, Jawa Timur
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IOT PENGENDALIAN KEAMANAN PINTU RUMAH OTOMATIS MENGGUNAKAN E-KTP BERBASIS MIKROKONTROLER ESP32 Deri Setiawan; Basuki Rahmat; Wahyu SJ Saputra
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 3 No. 3 (2023): November : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v3i3.1991

Abstract

Internet of Things (IoT) is a concept that connects electronic devices to the internet and enables the exchange of data between these devices. In this context, this study aims to develop an automatic door security control system using an ESP32 microcontroller-based e-KTP. The proposed system uses e-KTP as a substitute for a physical key on the door of the house. e-KTP will be connected to the ESP32 microcontroller which acts as the brain of the system. Personal data from the e-KTP, such as identity numbers, will be stored securely and used for user authentication. The ESP32 microcontroller will communicate with the server using the WiFi protocol to send and receive data. Users will be able to access the door of the house wirelessly via a mobile application connected to the server. This mobile application will provide an intuitive user interface to control door access and view security status. This system is also equipped with various security features. In addition, users can also monitor home security in real-time through a mobile application, even when they are not at home.
Optimization of Earthquake B-Value Prediction in Java Using GRU and Particle Swarm Optimization Kesya Nursyahada; Basuki Rahmat; Afina Lina Nurlaili
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2521

Abstract

Accurate prediction of earthquake parameters is essential for seismic risk assessment and disaster mitigation, particularly in tectonically active regions such as Java Island, Indonesia. This study presents a novel predictive model for estimating the earthquake b-value a fundamental seismological parameter representing the logarithmic relationship between earthquake frequency and magnitude by integrating a Gated Recurrent Unit (GRU) neural network with Particle Swarm Optimization (PSO). The model is trained using earthquake catalog data from 1962 to 2024, sourced from the Indonesian Meteorological, Climatological, and Geophysical Agency (BMKG). The GRU architecture is selected for its effectiveness in modeling temporal dependencies in seismic time series data. PSO is employed to optimize essential hyperparameters, including the number of GRU units, learning rate, and dropout rate. The optimized model achieves notable improvements in predictive performance: Mean Squared Error (MSE) is reduced from 0.00435 to 0.00030, Root Mean Squared Error (RMSE) from 0.0509 to 0.0173, and Mean Absolute Percentage Error (MAPE) from 3.42% to 1.12%. Training time is also reduced from 57 seconds to 33 seconds, indicating greater computational efficiency. The optimal PSO settings include an inertia weight of 0.8, cognitive and social coefficients of 1.0, 40 particles, and 10 iterations. The primary novelty of this study lies in its targeted application of PSO-optimized GRU architecture for b-value prediction in a seismically complex region. These results demonstrate that evolutionary optimization significantly enhances deep learning performance, providing a robust and efficient framework to support earthquake forecasting and risk mitigation efforts in high-risk zones such as Java Island.
Co-Authors Adhi Prasetya, Guntur ADJIE KURNIAWAN, RAKA Afina Lina Nurlaili Anggraeny, Fetty B. Nugroho Budi Nugroho Budi Nugroho Daniella, Cherry Deri Setiawan Devan Cakra Mudra Wijaya Eva Yulia Puspaningrum faisal, Faisal Fahri Ferdiansyah Fetty Tri Anggraeny Handono, Stevanus Frangky Harianto Hariyanto Hariyanto Helmy Widyantara Hutama, Dhany Satya I Nyoman Sujana Ida Retno Moeljani Ifnu Wisma Dwi Prastya Iqbal Imani Khoirul Akbar Kartini Kesya Nursyahada Mada Lazuardi Nazilly Minto Waluyo Mohamad Irwan Afandi Muhammad Alfin Jimly Asshiddiqie Naufal Mumtaz, Ahmad Nugraha, Novemidu Wilis Prameswari Reksa Agami Putra, Chrystia Aji R MEHINDRA PRASMATIO Raka Adjie Kurniawan Ridho Aji Pangestu Royan Hisyam Rafliansyah Singgih Putra Pratama Singgih Putra Pratama Sudiyarto Syaifullah JS, Wahyu TATI NURHAYATI Tuhu Agung Rachmanto Tuhu Agung Rachmanto Wahyu SJ Saputra Widjajani, Bhakti Wisnu Yuniar Purbasari, Intan Yuniar, Intan