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Hidayatur Rakhmawati
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Computer Science & IT

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IMPLEMENTASI ALAT UKUR TUBUH MANUSIA MENGGUNAKAN SENSOR TANPA SENTUH MLX 90614 BERBASIS ARDUINO Hidayatur Rakhmawati; Mamur Setianama; Ade Irma Setiawan
Journal of Informatics and Computing (RANDOM) Vol. 3 No. 1 (2024): Journal of Informatics and Computing
Publisher : Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/random.v3i1.5

Abstract

The signs that appear due to the covid 19 virus are abnormal human body temperatures (more than 37.5 C). Therefore, it is necessary to build a body temperature measuring device without direct contact to prevent the risk of transmission of the covid 19 virus. This study aims to apply the MLX 90614 sensor to the Arduino-based touchless human body temperature detection system.Extreme programming is suitable where the client is unsure and changes his mind frequently. Extreme programming is suitable for using an iterative approach to developing software. The stages in extreme programming are planning, design, coding and testing. The results of this study can be obtained that measuring body temperature in humans with the MLX 90614 sensor runs smoothly so that it is easier and more practical. The final average of all tests carried out on humans aged 12 years, humans aged 20 years and humans aged 30 years, can produce an average final temperature of MLX 90614 which is 36.77 0C. The final average temperature of the thermogun is 35.32 0C. Then the final average result of the difference between the MLX 90614 sensor temperature test and the thermogun temperature is 1.68. The final average result of the accuracy of the MLX 90614 sensor is 95.52%.
Sistem Pakar Pencegahan Stunting untuk Mendukung Pemahaman Ibu Hamil Terhadap Kebutuhan Asupan Gizi Berbasis Android Hidayatur Rakhmawati; megawati; Nurlaela
Journal of Informatics and Computing (RANDOM) Vol. 3 No. 1 (2024): Journal of Informatics and Computing
Publisher : Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/random.v3i1.57

Abstract

Stunting is a condition of failure to thrive in toddlers due to lack of nutritional intake for a long time and also due to recurrent infections, the causes of these two factors are influenced by inadequate parenting patterns. Thus, an expert system for stunting prevention is needed that will help provide insight for pregnant women about their nutritional needs and make it easier for parents to consult about stunting prevention and get reminders about nutritional needs during pregnancy. An Android-based stunting prevention expert system to support pregnant women's understanding of nutritional intake needs was built using the forward chaining method and research methods in the form of experimental methods aimed at providing logical information regarding stunting prevention regarding nutritional intake needs. The results of the research show that the forward chaining method is suitable for use, including in the aspect of conclusion results based on questionnaires that have been filled out appropriately and satisfactorily with a percentage of 80%, the information provided is appropriate, resulting in a percentage of 88%, 91% stated that this system helps pregnant women in preventing stunting. , as well as producing conclusions regarding the application, namely the application is easy to use with a percentage of 85%, menu navigation is easy to use with a percentage of 88%, the application display can be seen comfortably with a percentage of 88%.
Co-Authors Ade Irma Setiawan Mamur Setianama Megawati Nurlaela