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All Journal JTERA (Jurnal Teknologi Rekayasa) Journal of Information Technology and Computer Engineering Bulletin of Social Informatics Theory and Application
Priyantono, Mochammad Bagus
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences

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SISTEM PREDIKSI GEJALA VIRUS KORONA DENGAN METODE FORWARD CHAINING Priyantono, Mochammad Bagus; Rachmawan, Adam Achmad; Budi, Lalu Agung Purnama; Kirana, Kartika Candra
JTERA (Jurnal Teknologi Rekayasa) Vol 5, No 1: June 2020
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (623.391 KB) | DOI: 10.31544/jtera.v5.i1.2019.111-118

Abstract

Keberadaan teknologi yang semakin berkembang membuat pemanfaatan teknologi di berbagai bidang mulai diterapkan. Salah satunya dalam memprediksi dini gejala penyakit Korona. Penelitian ini bertujuan untuk mengembangkan sistem prediksi gejala dini penyakit Korona. Sistem ini dikembangkan dengan menggunakan kolaborasi Java dan Swi Prolog. Proses prediksi pada sistem ini dilakukan menggunakan metode Forward Chaining. Proses prediksi pada sistem ini diperoleh dari fakta-fakta yang diperoleh dari gejala yang dialami pasien. Data-data mengenai gejala pasien tersebut diperoleh melalui hasil studi literatur. Hasil penelitian menunjukkan bahwa sistem yang dibuat mampu memprediksi gejala dini penyakit Korona. Sistem ini dapat memprediksi dengan tingkat presisi sebesar 94,9%, recall sebesar 88,6%, dan akurasi sebesar 95%.
Social media learning on Indonesian university students Istiyanto, S. Bekti; Priyantono, Mochammad Bagus; Rifai, Muhammad Abdul Faiz; Wahyuningsih, Kartika; Fansyiari, Dzanun; Ramdhani , Lalu Gilang Obidia
Bulletin of Social Informatics Theory and Application Vol. 5 No. 1 (2021)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v5i1.433

Abstract

This study aims to compare social media as appropriate learning media for University students at Universitas Negeri Malang in the era of the covid-19 pandemic. The method used in this study is EUCS (End-user computing satisfaction) with a sample of 100 people. This study indicates that the google-classroom media is more in demand as a learning medium in terms of satisfaction by UM students. All the variable values are superior to the other two social media, namely Facebook and Schoology.
Implementasi Smart Home Pada Pendeteksi Dini Kebakaran Menggunakan Forward Chaining Wahyono, Irawan Dwi; Priyantono, Mochammad Bagus
JITCE (Journal of Information Technology and Computer Engineering) Vol. 4 No. 02 (2020)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.4.02.63-71.2020

Abstract

Fire is a disaster that can occur due to human negligence. So we need a system that functions to minimize the occurrence of fires by having a working concept to detect fires. This study aims to develop a fire detection system using the forward chaining method. In this detection system applying Artificial Intelligence where there are parameters of temperature, gas, the presence of fire, and the presence of water. This system also applies the Smart Home concept to detect fires early where there are sensor devices used by DHT 11, FLAME and MQ2. the data obtained from the sensor will be processed by the NodemCU Esp-8266 microcontroller. If there is an indication that caused a fire, the system immediately sends a warning via telegram. The results of this study obtained a precision of .94%, recall 93.6% and an accuracy of 96%.
Co-Authors Budi, Lalu Agung Purnama Fansyiari, Dzanun Kartika Candra Kirana Kornelius Kamargo/Irawan Dwi Wahyono Kornelius Kamargo Rachmawan, Adam Achmad Ramdhani , Lalu Gilang Obidia Rifai, Muhammad Abdul Faiz S. Bekti Istiyanto, S. Bekti Wahyuningsih, Kartika