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Journal : Informatics, Electrical and Electronics Engineering

Accuracy of DHT11 Temperature and Humidity Sensor In Egg Incubator Sudaryanto, Aris; Yohanes Aditya Wisnu W; Agung Kridoyono
Jurnal Teknik Elektro dan Informatika Vol 4 No 1 (2024): Infotron
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/infotron.v4i1.20846

Abstract

Temperature and humidity are two parameters that need to be considered in hatching eggs. The research results showed that the difference in egg temperature in the incubator gave a significant difference in fertility, mortality, and hatchability. One of the most widely used temperature and humidity sensors is the DHT11 sensor. The objective of this research is to determine the accuracy of the DHT11 sensor in measuring temperature and humidity. This study uses the UT333 sensor as a reference for measuring temperature and humidity. The temperature measurement test is done with the DHT11 and UT333 sensors measuring the temperature at the same place and time, and then the difference is calculated as an error value. Humidity testing is done by the DHT11 and UT333 sensors measuring humidity at the same time and place and using a humidifier to provide variations in humidity levels. The difference in humidity between DHT11 and UT333 was then calculated as an error. Each temperature and humidity test was repeated 25 times. Based on all the tests, it was found that the DHT11 sensor has an average error value of 3.16% or an accuracy of 96.84% for temperature measurements and an average error of 7.07% or an accuracy of 92.93% for humidity measurements. The average success value for temperature and humidity testing is 94.89%.
EMASJID, APLIKASI CHATBOT ISLAMI DENGAN METODE RAG (RETRIEVAL-AUGMENTED GENERATION) Fathoni, Kholid; Sudaryanto, Aris; Syarif, Iwan; Darmawan, Zakha Maisat Eka; Yunanto, Andhik Ampuh; Prasetyo; Aji , Rendra Suprobo; Fauzy, Aryazaky Iman; Hakkun, Rizky Yuniar
Jurnal Teknik Elektro dan Informatika Vol 5 No 1 (2025): INFOTRON
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/infotron.v5i1.22894

Abstract

The development of a religious chatbot is crucial for fostering good understanding and mitigating potential social conflicts arising from religious misunderstandings. This study introduces the Intelligent Religious Assistant ChatBot, developed using the Retrieval-Augmented Generation (RAG) method within a Large Language Model (LLM). RAG combines information retrieval from authoritative sources integrated into a database with text generation to produce user-specific answers. The application has been fully developed and performance-tested, demonstrating its capability to provide accurate and contextually appropriate answers based on authoritative Islamic references endorsed by major Indonesian Islamic organizations, including Nahdlatul Ulama, Muhammadiyah, and the Indonesian Ulema Council (MUI).