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All Journal Asian Journal of Science Education Journal of Disruptive Learning Innovation (JODLI)
Bertha Anggita Purwandani
Universitas Negeri Malang
Biochemistry, Genetics & Molecular Biology Chemistry Education Mathematics Physics

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Learning About Reflection of Light Based Ultraviolet Detection System Using Raspberry Pi Nugroho Adi Pramono; Bertha Anggita Purwandani; Fauzan Ibnu Sofyan; Octavia Ghaisyani
Asian Journal of Science Education Vol 3, No 1: April, 2021
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/ajse.v3i1.19090

Abstract

Ultraviolet light is an electromagnetic radiation that has range of wavelengths between 100nm to 400nm. This wavelength can be identified by the ultraviolet index, where at this wavelenght ultraviolet light has an impact to human health. Ultraviolet light with ultraviolet index green to yellow is benefical for human health. Meanwhile, ultraviolet rays with red to purple ultraviolet index are harmful to human health. Ultraviolet rays that are harmful to humans can pass the surface of the earth caused by many factors, one of which is global warming. Therefore, this research was conducted to create an ultraviolet light detection system using Raspberry Pi as a sensor data reader and aims to learn about how much light reflected on the surface of the earth. The data obtained will be processed using the phyton programming language and presented using an LCD touchscreen. From this research, the values of the ultraviolet index from zero to six were obtained based on the ultraviolet index value from the BMKG indicate the categories of ultraviolet light associated with light reflection on the surface of the earth are known. So it can be concluded that the less ultraviolet light on the surface of the earth will be reflected easily by the earth, and the more ultraviolet light on the surface of the earth will be difficult to reflect.
Learning Arduino as a Simple River Water Level Detection System Based on Ultrasonic Sensors Bertha Anggita Purwandani; Dimitra Ega Lianny; Melani Fitri Anggraeni; Putri Fauziah; Nugroho Adi Pramono; Rahmat Hartawan
Journal of Disruptive Learning Innovation (JODLI) Vol 3, No 1 (2021)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (351.062 KB) | DOI: 10.17977/um072v3i12021p26-33

Abstract

Current technological advancements are rapidly and impact daily life. Developing technology can be applied in many programs, one of which is as a tool for education. As shown in this study, technology as a mode of learning can be implemented in daily life. This study examined Arduino programming to create a river water level detection system using an ultrasonic sensor. This research is expected to be used as a learning tool for using Arduino as a microcontroller and can be applied in daily life. Additionally, by developing this river water level detection system, it will be possible to mitigate flood disasters.
Application of Arduino Programming Using ML8511 UV Sensor Hookup Guide to Learning the Effect of Ultraviolet’s Level Nugroho Adi Pramono; Oktavia Ghaisyani; Bertha Anggita Purwandani; Fauzan Ibnu Sofyan
Journal of Disruptive Learning Innovation (JODLI) Vol 2, No 1 (2020)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (481.834 KB) | DOI: 10.17977/um072v2i12020p37-44

Abstract

This paper learn programming of an Arduino. This also explores on how it can be used as a tool for study and research works. Learn how to program with Arduino, connect the project board to software on your computer, create sensor with the decision making and memory storing abilities of the Arduino. The ML8511 UV sensor outputs an analog signal in relation to the amount of UV light it detects and the effect to human body if get UV light in levels. The result are from three different locations, such as two outdoor and indoor start from 6.30 a.m until 10.45 a.m. Data shows that in outdoor during early morning or late afternoon hours the sun's rays pass at a greater angle through the atmosphere. Much more UV radiation is absorbed and less reaches the Earth, on the contrary in indoor UV index was 0. UV levels are highest under cloudless skies, and cloud cover generally reduces a person's exposure. However, light or thin clouds have little effect and may even enhance UV levels because of scattering. Don't be fooled by an overcast day or a cool breeze! Even a long stay in open shade, for example between buildings, may give a sensitive person a sunburn on a day with high UV levels. Therefore, it is important to know effect of ultraviolet’s level, from application of Arduino Programming using ML8511 UV sensor simplify the research.Keywords: Sensor UV; ML8511; Arduino; UV lights; Software.
Application of ESP32 as a Media for Learning Ozone Damage in the Form of IoT-Based Ultraviolet Index Readers Nugroho Adi Pramono; Fauzan Ibnu Sofyan; Bertha Anggita Purwandani; Oktavia Ghaisyani
Journal of Disruptive Learning Innovation (JODLI) Vol 2, No 1 (2020)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (396.639 KB) | DOI: 10.17977/um072v2i12020p22-29

Abstract

Ultraviolet light is part of the electromagnetic waves from solar radiation. Excessive UV light can cause damage to human skin. High UV index caused by one of the damage to the ozone layer, therefore it is important we study the ozone damage in an area. On this occasion made learning media in the form of an IoT-based ultraviolet index reader. This tool uses ESP32 as a controller by adding several modules namely UV index sensor and wifi module. The existence of a wifi module makes it easy for us to send data and control ESP32 using the internet, therefore this tool is said to be based on the Internet of Things (IoT). With this tool we can compare the UV Index level in several regions simultaneously without being in that area. From the difference in index, we can study the level of UV radiation in each region in real time. Therefore we can study the comparison of ozone damage levels.
Co-Authors Dimitra Ega Lianny Fauzan Ibnu Sofyan Melani Fitri Anggraeni Nugroho Adi Pramono, Nugroho Adi Octavia Ghaisyani Oktavia Ghaisyani Putri Fauziah Rahmat Hartawan