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All Journal Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) International Journal Software Engineering and Computer Science (IJSECS)
Wasiran
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Internet of Things (IoT) Integration for Real-Time Monitoring in Smart Cities Fajri, T. Irfan; Rahayu, Novi; Wasiran; Budiman, Yusuf Unggul; Hasti, Novrini
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 1 (2025): APRIL 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i1.3465

Abstract

The advancement of Internet of Things (IoT) technology has opened great opportunities for the implementation of real-time monitoring systems in supporting smart city management. This research aims to develop an IoT integration model that can monitor various urban aspects, such as traffic management, energy consumption, waste management, and air quality, in an efficient and integrated manner. The model is designed to collect, process, and analyze data from various IoT sensors scattered in urban areas, with a focus on delivering information in an integrated manner. urban areas, with a focus on delivering real-time information to the government and the public. The research methodology includes the development of development of an IoT-based system prototype that integrates hardware and hardware and software with the support of cloud computing architecture for data management. data management.
Analisis Big Data untuk Deteksi Hoaks dan Disinformasi di Platform Berita Online Laia, Mitranikasih; Ayuliana; Wasiran; Hakim, Muhammad Lukman; Suryadi, Dikky
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i2.3859

Abstract

In the digital era, the spread of hoaxes and disinformation on online news platforms is a serious challenge that can affect public opinion and social stability. This research aims to analyze the application of Big Data technology in automatically detecting hoaxes and disinformation. The methods used include data collection from various online news sources, text processing using Natural Language Processing (NLP), and the application of machine learning algorithms to classify news based on their level of credibility. The dataset used includes news from various categories, which are validated with trusted sources. The results show that the combination of Big Data, NLP, and machine learning techniques can improve the accuracy of hoax detection with a high success rate. This study is expected to contribute to the development of a fake news detection system that is more effective and adaptive to the trend of information dissemination in the digital world.
Internet of Things (IoT) Integration for Real-Time Monitoring in Smart Cities Fajri, T. Irfan; Rahayu, Novi; Wasiran; Budiman, Yusuf Unggul; Hasti, Novrini
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 1 (2025): APRIL 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i1.3465

Abstract

The advancement of Internet of Things (IoT) technology has opened great opportunities for the implementation of real-time monitoring systems in supporting smart city management. This research aims to develop an IoT integration model that can monitor various urban aspects, such as traffic management, energy consumption, waste management, and air quality, in an efficient and integrated manner. The model is designed to collect, process, and analyze data from various IoT sensors scattered in urban areas, with a focus on delivering information in an integrated manner. urban areas, with a focus on delivering real-time information to the government and the public. The research methodology includes the development of development of an IoT-based system prototype that integrates hardware and hardware and software with the support of cloud computing architecture for data management. data management.
Co-Authors Ayuliana Budiman, Yusuf Unggul Mitranikasih Laia Muhammad Lukman Hakim, Muhammad Lukman Mutasar Novrini Hasti Rahayu, Novi Suryadi, Dikky