Attribution- ShareAlike 4.0 International (CC BY-SA 4.0)

Vol. 03, No. 10, October 2023

e - ISSN : 2807-8691 | p- ISSN : 2807-839X

IJSSR Page 2553

, Mochamad Farid Rifai

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, Yudhi S. Purwanto

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Informatics Engineering, Faculty of Telematics Energy, Institut Teknologi PLN, Indonesia

1,2,3

Email :

[email protected]d

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INTRODUCTION

It has been more than 2 years since the Covid-19 outbreak in Wuhan, China. The pandemic has

changed many things in the world, including education system. Schools and universities are racing with

the pandemic to create new and comfortable environments for their curricula, leading to the

(Sharifi and Khavarian-Garmsir, 2020; Elkhwesky et al., 2022).

No matter how great online learning is, not all parents are ready to handle their children in this

kind of learning process. This is not only true for K-12 students who currently need more attention to

their learning progress compared to the period before the pandemic, but also for college students. This

is a new challenge for parents, because they are more involved in the learning process of their children,

and are 'forced' to prepare infrastructure, such as: smartphones, computers with online conferencing

capabilities, internet connections, printers, etc. Things that were once considered secondary needs in

the pre-pandemic period, have now turned into primary needs. But going back to school is also not a

wise choice, even after the pandemic. There are things that need to be prepared, both for the school and

parents/students. New habits, skills, knowledge, and new understanding on socializing are some of

Organization, 2020). The checklist has been distributed and is expected to be used as a basic guideline

before it is developed and adapted to country-specific needs and specifications. Several other

organizations such as the Center for Global Development and ASHRAE have also issued similar

references (Annie Hoang, 2021) (ASHRAE, 2020) to help countries prepare.

Schools and campuses along with the government, have a very important role in convincing

parents to let their children go back to school. They need to be more proactive in providing information,

especially about school or campus conditions. The cleanliness of the classroom as well as the quality of

the air in it is one of the first pieces of information that they should share with parents and students.

Indoor air quality (IAQ) has become a major concern for the public since the pandemic (Habibi, 2016;

Akanmu, Nunayon and Eboson, 2021; Holubar, 2021).

and allergies. Poor IAQ can also cause headaches and fatigue. In the long-term period, poor IAQ is

associated with respiratory disease, heart disease, and cancer.

Indoor air could be polluted by a variety of contaminants including chemical pollutants, moulds,

dust, volatile organic compounds (VOCs), pet dander, and odours. Inadequate ventilation exacerbates

this problem, increasing indoor pollutant levels by not bringing in enough outside air to dilute the

pollutants. A portable indoor air quality device is required to mark classroom conditions. It must be able

to determine at least four aspects of air cleanliness, namely CO

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humidity level, and dust level in the air. The device needs to be connected to the mobile application for

the results to be accessible to all relevant parties. One more thing that is important is that the device

are best used to measure indoor air quality, as in studies (Perera and Jayasinghe, 2012) (Waworundeng

and Lengkong, 2018) and (Sugiarso et al., 2019). Long Short-Term Memory (LSTM) is used as a method

and machine learning as data processing for research (Sai, Ramasubbareddy and Luhach, 2019). Several

microcontrollers are used for this kind of device, such as Arduino, Node-MCU, and Raspberry Pi.

To expand the range of the sensor, (Rosmiati et al., 2019) a device with a Raspberry Pi sensor

and an MQ LoRa series sensor module was made as a data receiver. Can be used with GPS and aerial

sensors and can reach 1.7 km in longitude and 400 meters in latitude. Another thing that can be

implemented on the device is geo-tagging. Geo-tags provide latitude, longitude, distance, and several

other features to support many IoT-based devices, including these air quality monitoring devices.

device, can still access the information, and two, the stored data can be used as the basis for making

future predictions.

The urgency of this research is: a) There are fundamental problems related to classrooms and

other infrastructures, especially those dealing with indoor air quality when opening schools/campuses

for hybrid/offline teaching and learning activities, and b) Application requirements with the application

of automated information technology for classrooms and other infrastructures, especially those dealing

with indoor air quality when opening schools/campuses for hybrid/offline teaching and learning

activities.

There are some research concerning this matter such as that was done using DSM501a and MQ-

135 sensors (Nur Arminarahmah, Muhammad Rasyidan and Zaenuddin, 2017), MQ-7 and HC-05

studies use LCD, which means that it only displays real-time data; 3) only one study made connectivity

with the internet; and 4) does not involve many people so that data communication only takes place in

one direction.

The advantages and novelty of the MEDIA-QLASS device that we made is a prototype indoor air

detector that: 1) Portable (easy to carry around), 2) Compact, 3) Wearable, 4) Applicable, 5) Accessible

(easy to access), and Connectible (to smart phones and websites). The device will monitor IAQ using

sensors: MQ-135 and MQ-7. The results of which are directly sent to a linked smartphone and will be

kept in cloud and should also be retrieved via the website. The stored data can then be used as the main

data for an air quality prediction system at that location.

Some protocols and algorithms have been used to determine the location and its map, as explain

below. First, we need to make a request permission on android to access the internet. Here in order for

be used as a reference location, you must get Latitude.

Fourth, Get Longitude on the smartphone. Here is the same as latitude, to get the address

required to get the longitude first. Then fifth, upload the results of latitude and longitude to gps. After

getting the latitude and longitude, to get the address, you are required to send the latitude and longitude

to GPS, so that later you can get the complete address.

Sixth, get the full address based on the longitude and latitude uploaded to the previous GPS. After

The testing phase aims to check the results of the implementation phase whether they are in

accordance with the results of the needs analysis and the results of system design or not. In the testing

phase, 3 testing methods were carried out, namely accuracy testing, validation testing, and compatibility

testing. The test results from the geolocation tagging as many as 10 trials and from all 10 trials the

accuracy obtained reached 100%, which means that all can be detected properly, and the location is

appropriately tagged. Validation testing is done by running all existing functions on the system. The

results of this test indicate that all existing functionality in the system obtains valid results. So, it can be

concluded that the system built has been running according to its function both under normal conditions

and alternative conditions. Compatibility testing is done by running the system on a different version of

method starts from determining latitude and longitude. These information helps the residents measure

the distance between their location to the incident’s location, 2) The device is equipped with MQ-7 and

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and CO levels in the air. After the data obtained from the two

sensors, then the data obtained will be calibrated with calculations from each sensor. After the

calibration is complete, the results of the CO and CO

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levels in the form of PPM are obtained, and 3) the

results of the accuracy, validation and compatibility tests show that of the 10 trials carried out, the tool

can provide accurate results with all functions in the tool and system running well on android systems

starting from version 7.1.

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