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All Journal Prosiding Semnastek Jurnas Nasional Teknologi dan Sistem Informasi SISFO Journal of Information Technology and Computer Engineering Jurnal Hilirisasi IPTEKS (JHI) Jurnal Sosial dan Teknologi Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Journal of Comprehensive Science Knowbase : International Journal of Knowledge in Database Innotech
Haris Suryamen, Haris
Jurusan Sistem Informasi Universitas Andalas
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Journal : Journal of Information Technology and Computer Engineering

 1 
Sistem Monitoring Tanah Longsor Berbasis Internet of Things dan Geographic Information System Putra, Roni Wahyu; Suryamen, Haris
JITCE (Journal of Information Technology and Computer Engineering) Vol. 3 No. 02 (2019)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.3.02.70-77.2019

Abstract

Landslide is one of the natural disasters that happens quite often in many parts of Indonesia. Landslide brings negative aspects to people because it causes material loss and loss of life. Landslides generally occur in the rainy season with high rainfall. In this research, a system is made to predict the chance of landslide to happen by measuring the level of rainfall, soil moisture, and soil displacement, and send the sensor data and position of a landslide to the database. According to this research, the system can predict the chance for the landslide to happen and give a warning with a 100% success rate.
Perancangan Sistem Pengumpul Data Dengan Internet Of Thing Pada Software Monitoring Banjir Berbasis Geographic Informatin Sistem Aziz, Fauzan Zulfa; Suryamen, Haris
JITCE (Journal of Information Technology and Computer Engineering) Vol. 6 No. 02 (2022)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.6.02.64-69.2022

Abstract

Flooding is one of the natural disasters that often occur in various regions in Indonesia. Flood events have a negative impact on the community because it can cause material losses and fatalities. Flood disasters generally occur in the rainy season with high rainfall. Technology can be used to reduce the impact caused by the flood disaster. In this study, a system was created that can estimate the probability of flooding by measuring rainfall levels, and changes in water height from ground level by using rain gauge sensors and ultrasonic sensors and sending sensor reading data and flooding positions to the database using the GSM SIM800L Module. Based on this research, the system can estimate the likelihood of flooding and give a warning with a 100% success rate.
Co-Authors Afriyanti Dwi Kartika Akbar, Ricky Alza, Nurul Hafizhah Annisa Wistia Rizalmi Aulia Ayu Lukman Aziira, Aina Hubby Aziz, Fauzan Zulfa Aziz, Muhammad Fairuzi Iszam Fadhlullah Ahmad Fajril Akbar Febby Apri Wenando Fithriyyah, Ulfa Habibi Hsb Hanim, Hafizah Husnil Kamil Ilham Aminuddin Islamita Putri, Fadhilla Isra Wilna Pratama, Wahyu Febrian Putra, Rafi Maryudwika Putra, Roni Wahyu Rafel Dinur Rafi Maryudwika Putra Ullya Mega Wahyuni Wahid Fachrul Hafidz Wahyudi Wistia Rizalmi, Annisa Yossi Prima Ariyani Yudhi Hartadi Zulfani, Fathania