Development of Gas Pressure Monitoring System Based on Internet of Things (IoT)

Development of Gas Pressure Monitoring System Based on Internet of Things (IoT) | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Development of Gas Pressure Monitoring System Based on Internet of Things (IoT) Frabowo Prasetia This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2889519/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract LPG (Liquified Petroleum Gas) gas has a positive impact on burning gas cleaners and reduces air pollutant levels, while the negative impact is that it is more flammable in the air with high pressure. The Internet of Things (IoT) is a technology whose goal is to integrate devices into the Internet. Many previous studies have been carried out as an example on blood volume, blood pressure, and pulse monitoring devices which aim to select blood donors based on blood pressure and blood volume with external storage. The existence of an analog manometer measuring device is part of a conventional needle panel pressure measurement which could have an error in measuring the pressure. The need to use a digital manometer to properly prove gas pressure. This digital manometer can provide more accurate and detailed gas pressure information through the LCD display. Liquified Petroleum Gas MPX5700 LCD Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Figure 9 Figure 10 Figure 11 Figure 12 Figure 13 Figure 14 Figure 15 Figure 16 Figure 17 Introduction Liquefied Petroleum Gas (LPG), which was introduced by the government to replace kerosene, has improved gas combustion and decreased air pollution. However, as evidenced by data from the Depok city government covering a five-year period, the increased flammability of LPG in high-pressure environments can result in catastrophic explosions. LPG was specifically blamed for 17% of gas-related fires (Judge & Jonathan, 2017). According to Setiadi and Muhaemin ( 2018 ), the Internet of Things (IoT) is a technology that attempts to seamlessly connect items with the Internet. The Internet of Things (IoT) is a connecting infrastructure between the real and virtual worlds, achieved via the exploitation of data capture and communication technologies, according to the coordinator and support action for global RFID-related activities and standardization (Mukhopadhyay & Suyadeyara, 2014). Modern system design depends heavily on the IoT, which also makes it easier for information to flow. The notion of IoT in industries and daily life is influenced by integrated computer technology, storage, and system applications (Palatella et al., 2016 ). Blood pressure, pulse, and blood volume monitoring devices that choose blood donors based on these factors have been the subject of earlier investigations. Research on blood pressure and body temperature monitoring devices has shown that such devices have external storing capabilities (Alfian, 2017 ; Aritonang, 2021 ). Regulator manometers, which are frequently analog, are susceptible to measurement mistakes, which causes them to read gas pressures incorrectly. To prevent consumer financial losses, accurate gas pressure information is required. Consumers frequently buy LPG gas cylinders primarily for their weight. Accurate readings of gas pressure are further hampered by the sale of analog manometer-based regulators to customers, which have subpar units and only employ colors and numbers. A digital manometer instrument is needed to depict the real condition of gas pressure via an LCD display with more accuracy and detail in order to address these challenges. Theoretical basis Arduino Uno The unique Arduino microcontroller board has many advantages over other boards of a similar nature. The Arduino claims its proprietary programming language, which is based on the popular C language, in addition to being open-source. Furthermore, the Arduino board differs from most other microcontroller boards in that it includes an integrated loader in the form of a USB interface, making programming easier. Most other microcontroller boards require a separate loader circuit to input the program into the microcontroller. The Arduino board's USB port doubles as a serial communication port in addition to being a loader for programming, increasing its adaptability and usefulness for a variety of applications (Mochtiarsa & Bachtiar, 2014). MPX5700 The Motorola MPX5700 pressure sensor is distinguished by the combination of a signal cooling circuit and a temperature calibrator, which guarantees the sensor's durability against temperature variations. The sensor works based on the piezoresistive principle, which causes material deformation with an effect that is primarily focused on changes in resistance value. According to Mufidah, Setyawan, Gunadi, and Suseno (2018), the sensor has a measuring range of 15kPa-700kPa, or 0-101.5Psi, and its analog output ranges from 0.2 to 4.7 Vdc. Thingspeak Cloud There are numerous options for enhancing Thingspeak's capabilities, such as integrating plugins that let users see Google gauges and other unique data visualizations. The channel entity, which serves as a repository for the aggregation and storage of data supplied from several dissimilar devices, is the core building component of Thingspeak (Nettikadan & MS, 2018). MIT App Inventor According to Axel, Najoan, and Sugiarso (2017), App Inventor is a system created for the development of Android applications that differs from existing development techniques by relying on visual interaction rather than writing lines of computer code. Methods The author admits the need for a monitoring system that can aid humans in effectively monitoring the gas state in real-time based on the situation. The proposed system makes use of an Arduino gadget that is linked to a sensor gadget that includes an MPX5700 sensor that can measure the gas pressure in an LPG cylinder. The measured data is precisely shown on the LCD display and sent to a server created for data storage at the same time. The system architecture seeks to offer a user-friendly interface that makes it possible to monitor residential gas conditions quickly and effectively. The schematic for the framework is shown below. The MPX5700 sensor is used to collect data on pressure from a gas cylinder in the construction of the input system. The Arduino board receives the pressure readings as voltage values, which it then converts into pressure units. The principal information medium is then the LCD screen, where the processed pressure data is shown. The ESP8266 01 module serves as a bridge between this system and the internet in order to enable connectivity to the cloud network. Once connected, the cloud will receive and store the data the Arduino board processes as an online database. The user can then access this cloud data via their smartphone to view pressure data in real-time. To further comprehend the design of the IoT-based LPG gas pressure measurement system, a schematic illustration is provided. MPX5700 Sensor Circuit The sensor in question is able to take readings of gas pressure between 0 and 700 kPa, and then show the information on a liquid crystal display (LCD). With the help of this functionality, the system can identify whether the gas pressure inside the cylinder is above or below the permitted range. LCD circuit The system created to display sensor readings for measuring gas pressure uses a 16x2 LCD as an output device. The user's access to more precise and accurate information produced from the sensor readings is made easier by this display. Open and Locked Regulators The regulator can be locked or unlocked thanks to the regulator valves. The regulator can accept gas from the tube and let it to flow through the tube hose leading to the stove when it is locked. The valve tip is above when the valve is in the open position, as seen in the illustration below. The end position of the valve with regard to the locked regulator is located below. The regulator valve is locked by turning the valve 180 degrees counterclockwise from the open position to the locked position. As seen in the illustration below, this will cause the valve tip to be pointed downward. MPX5700 Sensor Data Collection The sensor is interfaced with the regulator to collect data on the sensor; during the data collection process, the manometer regulator is replaced with the sensor by establishing a link through a hose that facilitates the gas flow. The sensor detects the gas thus passing through the hose and generates the associated pressure reading. To make sure the data is accurate for the real-world situations, the obtained sensor data is then compared with the original manometer reading on the regulator. Data analysis By carefully examining the data gathered by the sensor and contrasting it with the readings of the manometer attached to the regulator, the MPX5700 sensor's analysis is carried out. The experimental process comprises applying gas pressure to the sensor, recording sensor readings, and processing them further using the preconfigured Arduino application. The accuracy of the pressure readings obtained by the sensor is then verified by comparing the manometer data with the relevant sensor dataset. MPX5700 testing During testing, the MPX5700 sensor is used to more precisely measure the gas cylinder's contents. The researchers have noted that it is unknown what is in the gas cylinders used in community dwellings. At the moment, manometers sold with regulators just show numbers and colors, with no explanation of what the colors stand for. It's not clear if the red hue denotes a full gas supply in the tube or if it denotes another color. Users of LPG gas cylinders frequently have this uncertainty about whether the cylinder is fully or partially filled. Even when the contents of the tube do not correspond to the amount specified, such a restriction is frequently disregarded. A newly purchased gas cylinder was once weighed by researchers, who discovered that it weighed about 7.8 kg overall, with the gas inside the cylinder weighing about 2.8 kg and the cylinder itself weighing about 5 kg. However, the researchers did not take into account the actual unit form when they used the manometer regulator to calculate the contents of the cylinder; instead, they only used the colors that were present. According to the LPG specifications published by the Directorate General of Oil & Gas No. 26525.K/10/DJM.T/2009 (Pertamina, 2010), the LPG product must contain at least 97% Propane (C3) & Butane (C4) mixture and at most 2% of Propane (C3) & Butane (C4) mixture, with a maximum pressure parameter determined by steam set at 145 psi. Table 1 MPX5700 Sensor Test Results Volt kpa psi bar 0.2V 4.5V 28.089 kPa 697.861 kPa 4.073 Psi 101.190 Psi 0.3 bars 6.9 bars The goal of the experiment was to evaluate the MPX5700DP sensor's performance when used to gauge the pressure within a 3 kg gas cylinder. The manometer was removed from the regulator by the researcher prior to the test by removing its nozzle and replacing it with a hose that linked directly to the sensor. When measuring the initial gas state with a pressure of 0.3 bar, the sensor was made to display a minimum voltage of 0.2v, which was displayed on the LCD that was programmed with Arduino code. An alarm was added to the sensor to give people a heads-up when gas was running low. The alert was set to go off when the gas pressure dropped below 0.5 bar. Gas customers were given the opportunity to plan for future gas supplies and prevent unexpected stove shutdowns as a result of the buzzer sounding and alert message being displayed on the LCD. The MPX5700DP sensor reads 4.5 volts when the pressure is at 7 bar, which is equivalent to 0.7 MPa, as shown in the illustration, when the regulator valve is rotated to allow pressure to be received by the sensor. The authors of this paper evaluate the effectiveness of current regulators to their newly created gas pressure monitoring system. In order to compare two regulators, one of which is a basic model that just shows numerical values between 0 and 10, without any indication of a measurement unit. The range of the other regulator, which shows pressure in bars (MPa), is 0 to 8. The newly built sensor was able to produce the desired findings (as shown in the picture) when the experiment's fundamental regulator was tested, as shown when the needle manometer pointed to number 7. Regarding the second regulator, it should be noted that the manometer's needle pointed to the number 8, indicating a slight discrepancy from the sensor's results. The researchers next examined the condition of the second regulator in order to assess the level of error in the sensor created for this regulator. Initially, raw data in the form of voltage was taken straight from the gas cylinder and transformed into the pressure units of kPa (kilopascal) and psi (pounds per square inch). The researchers used an equation found in the thesis of an automated water rocket launcher to make this translation easier: Volts = V * (5 / 1023) (1) Since the voltage received did not fall within the anticipated range of 0 to 5 volts, pin A0 of the Arduino microcontroller was used to measure the analog value that the Arduino had been given. The voltage value was then translated into the proper pressure units after being obtained. The thesis on automatic water rocket launchers, which is included in the appended documents, served as the basis for the formula used to calculate pressure values in kilopascals (kPa) and pounds per square inch (psi): kpa = ((Volts /5) – 0.04) / 0.0012858 (2) psi = kpa * 0.145 (3) The pressure range that this sensor is capable of monitoring varies from 15 to 700 kPa, as stated in the MPX5700DP sensor datasheet. It's important to note that 1 kPa equals 0.145 psi, although the barometer reads 1 psi as 6.89 kPa (as noted in the datasheet included). The information acquired from the sensor can then be deduced from the table below: Table 2 MPX5700 sensor testing with Regulator First Regulation (Without Unit) Second Regulator (Unit) MPX5700 sensors Error et Et2 Squared Error 0 0bar 0.3bar 0.3bar -0.3 -0.3 0.09 0.01 7 8bar 6.9bar 6.9bar 0.1 1,1 0.09 1.21 Sum of Squares Error 0.18 1.22 Mean Square Error (MSE) Value 0.09 0.61 The Mean Square Error (MSE) is first calculated in the current study by comparing the obtained and actual values. By deducting the outcome value from the actual value, this error is calculated. According to Gofur and Widianti's (2013) research, the error can be calculated using the formula below. Et = Xt – Ft (4) Information: et = error value Xt = data actual in period t Ft = data results in period t The error values between the actual and outcome values are then squared after being obtained by subtraction. The acquired values are then used to calculate the Mean Square Error (MSE) value. The MSE is a measure used to assess the accuracy of the findings. More precise results are shown by lower MSE values. The MSE value can be calculated using the formula shown below: MSE = ∑ Et2 / n (5) Information: Et2 = squared error value n = lots of data Based on the information in Table 2, it can be concluded that the MPX5700 sensor experiment employing the regulator produced results with a high degree of precision, as evidenced by the Mean Square Error (MSE) number. Testing LCD 16x2 This experiment aims to evaluate the LCD's performance in accordance with the Arduino's programming. In this system, the LCD's main function is to display the information acquired from the MPX5700DP sensor, which is regarded as a critical part. This sensor is anticipated to serve as a digital manometer value, as was previously stated. The display of input data from the MPX5700DP sensor, with the output being presented on the LCD, was used to test the system's LCD's operation. The LCD readout specifically stated "Gas Contains 7.0 bar", proving that the specified functionality was carried out as intended. Android App Testing In this study, a smartphone app was used to keep track of the gas's condition, including leaks and pressure data that were sent to the cloud platform Thingspeak. Researchers had a convenient tool for making smartphone applications when they used the cloud-based MIT App Inventor to construct the application. Conclusion and Advice The study comes to the conclusion that the created system can efficiently and precisely identify LPG gas based on the findings and evaluation. The information about the gas level is efficiently shown on the smartphone's user interface and is uploaded using esp8266 01 modules over an internet connection. Additionally, the system successfully transmits the data to the cloud with a one minute, two second delay. Additionally, the data collected offers helpful information on gas leak levels and precisely gauges LPG gas pressure. Declarations Author contributions Frabowo Prasetia completed the whole process of designing experiments, collecting data, analyzing data, and writing the first draft of the article. The author(s) read and approved the final manuscript. Funding No Funding. Availability of data and materials No datasets were analyzed during the current study. Ethics approval and consent to participate No applicable. Competing interests The author declare no competing interests. Author details 1 Politeknik ATI Makassar, Makassar City, Indonesia References Alfian, K. (2017). Design of Blood Volume, Blood Pressure, and Pulse Rate Monitoring Devices as Parameters for Selecting Blood Donor Participants. Electronic Journal of Electronic Engineering Education, 1-7. Aritonang, W. (2021). 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Retrieved from http://www.bumn.go.id/pertamina/berita/471/komposition.elpiji.cepat.spesifikasi.standar.keselamatan Setiadi, D., & Muhaemin, M. (2018). Implementation of the Internet of Things (IoT) in Irrigation Monitoring Systems (Smart Irrigation). Infotronic Journal, 95-102. Wihidayat, ES, & Wihidayat, ES (2017). Android Application Development Using the Integrated Development Environment (IDE) App Inventor 2. Edutic Scientific Journal, 1-12. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Locking\u003c/p\u003e","description":"","filename":"14.jpg","url":"https://assets-eu.researchsquare.com/files/rs-2889519/v1/d5e56b7f11cc2f300b098da6.jpg"},{"id":36975241,"identity":"61a19e48-adbf-4590-a162-6fd3c8a99422","added_by":"auto","created_at":"2023-05-12 21:05:03","extension":"jpg","order_by":15,"title":"Figure 15","display":"","copyAsset":false,"role":"figure","size":78934,"visible":true,"origin":"","legend":"\u003cp\u003eTesting LCD 16x2\u003c/p\u003e","description":"","filename":"15.jpg","url":"https://assets-eu.researchsquare.com/files/rs-2889519/v1/e874a98c8cae904557f954a4.jpg"},{"id":36975903,"identity":"5c3a0032-8e78-4524-b0d3-c73227b694ba","added_by":"auto","created_at":"2023-05-12 21:13:03","extension":"jpg","order_by":16,"title":"Figure 16","display":"","copyAsset":false,"role":"figure","size":88172,"visible":true,"origin":"","legend":"\u003cp\u003eMaking an IoT-based Gas Pressure Monitoring Android Application\u003c/p\u003e","description":"","filename":"16.jpg","url":"https://assets-eu.researchsquare.com/files/rs-2889519/v1/8d64848a62813df62ac22cca.jpg"},{"id":36975232,"identity":"9b489089-8653-43ab-82e7-d7e0686d9011","added_by":"auto","created_at":"2023-05-12 21:05:03","extension":"jpg","order_by":17,"title":"Figure 17","display":"","copyAsset":false,"role":"figure","size":21112,"visible":true,"origin":"","legend":"\u003cp\u003eIoT-based Gas Monitoring Application\u003c/p\u003e","description":"","filename":"17.jpg","url":"https://assets-eu.researchsquare.com/files/rs-2889519/v1/5dba031efad86e1525fba1f3.jpg"},{"id":37215869,"identity":"9536c1da-9ee3-4b49-aad3-71f2cdef28c5","added_by":"auto","created_at":"2023-05-19 00:29:35","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1034735,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-2889519/v1/8b71b14e-ab8c-4889-8cf9-3c5961266c58.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Development of Gas Pressure Monitoring System Based on Internet of Things (IoT)","fulltext":[{"header":"Introduction","content":"\u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eLiquefied Petroleum Gas (LPG), which was introduced by the government to replace kerosene, has improved gas combustion and decreased air pollution. However, as evidenced by data from the Depok city government covering a five-year period, the increased flammability of LPG in high-pressure environments can result in catastrophic explosions. LPG was specifically blamed for 17% of gas-related fires (Judge \u0026amp; Jonathan, 2017).\u003c/p\u003e \u003cp\u003eAccording to Setiadi and Muhaemin (\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2018\u003c/span\u003e), the Internet of Things (IoT) is a technology that attempts to seamlessly connect items with the Internet. The Internet of Things (IoT) is a connecting infrastructure between the real and virtual worlds, achieved via the exploitation of data capture and communication technologies, according to the coordinator and support action for global RFID-related activities and standardization (Mukhopadhyay \u0026amp; Suyadeyara, 2014).\u003c/p\u003e \u003cp\u003eModern system design depends heavily on the IoT, which also makes it easier for information to flow. The notion of IoT in industries and daily life is influenced by integrated computer technology, storage, and system applications (Palatella et al., \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2016\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eBlood pressure, pulse, and blood volume monitoring devices that choose blood donors based on these factors have been the subject of earlier investigations. Research on blood pressure and body temperature monitoring devices has shown that such devices have external storing capabilities (Alfian, \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2017\u003c/span\u003e; Aritonang, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2021\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eRegulator manometers, which are frequently analog, are susceptible to measurement mistakes, which causes them to read gas pressures incorrectly. To prevent consumer financial losses, accurate gas pressure information is required. Consumers frequently buy LPG gas cylinders primarily for their weight. Accurate readings of gas pressure are further hampered by the sale of analog manometer-based regulators to customers, which have subpar units and only employ colors and numbers. A digital manometer instrument is needed to depict the real condition of gas pressure via an LCD display with more accuracy and detail in order to address these challenges.\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e"},{"header":"Theoretical basis","content":"\u003cp\u003e\u003cstrong\u003eArduino Uno\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe unique Arduino microcontroller board has many advantages over other boards of a similar nature. The Arduino claims its proprietary programming language, which is based on the popular C language, in addition to being open-source. Furthermore, the Arduino board differs from most other microcontroller boards in that it includes an integrated loader in the form of a USB interface, making programming easier. Most other microcontroller boards require a separate loader circuit to input the program into the microcontroller.\u003c/p\u003e\n\u003cp\u003eThe Arduino board\u0026apos;s USB port doubles as a serial communication port in addition to being a loader for programming, increasing its adaptability and usefulness for a variety of applications (Mochtiarsa \u0026amp; Bachtiar, 2014).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMPX5700\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe Motorola MPX5700 pressure sensor is distinguished by the combination of a signal cooling circuit and a temperature calibrator, which guarantees the sensor\u0026apos;s durability against temperature variations. The sensor works based on the piezoresistive principle, which causes material deformation with an effect that is primarily focused on changes in resistance value. According to Mufidah, Setyawan, Gunadi, and Suseno (2018), the sensor has a measuring range of 15kPa-700kPa, or 0-101.5Psi, and its analog output ranges from 0.2 to 4.7 Vdc.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eThingspeak Cloud\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere are numerous options for enhancing Thingspeak\u0026apos;s capabilities, such as integrating plugins that let users see Google gauges and other unique data visualizations. The channel entity, which serves as a repository for the aggregation and storage of data supplied from several dissimilar devices, is the core building component of Thingspeak (Nettikadan \u0026amp; MS, 2018).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMIT App Inventor\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAccording to Axel, Najoan, and Sugiarso (2017), App Inventor is a system created for the development of Android applications that differs from existing development techniques by relying on visual interaction rather than writing lines of computer code.\u003c/p\u003e"},{"header":"Methods","content":"\u003cp\u003eThe author admits the need for a monitoring system that can aid humans in effectively monitoring the gas state in real-time based on the situation. The proposed system makes use of an Arduino gadget that is linked to a sensor gadget that includes an MPX5700 sensor that can measure the gas pressure in an LPG cylinder. The measured data is precisely shown on the LCD display and sent to a server created for data storage at the same time. The system architecture seeks to offer a user-friendly interface that makes it possible to monitor residential gas conditions quickly and effectively. The schematic for the framework is shown below.\u003c/p\u003e\n\u003cp\u003eThe MPX5700 sensor is used to collect data on pressure from a gas cylinder in the construction of the input system. The Arduino board receives the pressure readings as voltage values, which it then converts into pressure units. The principal information medium is then the LCD screen, where the processed pressure data is shown. The ESP8266 01 module serves as a bridge between this system and the internet in order to enable connectivity to the cloud network. Once connected, the cloud will receive and store the data the Arduino board processes as an online database. The user can then access this cloud data via their smartphone to view pressure data in real-time. To further comprehend the design of the IoT-based LPG gas pressure measurement system, a schematic illustration is provided.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMPX5700 Sensor Circuit\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe sensor in question is able to take readings of gas pressure between 0 and 700 kPa, and then show the information on a liquid crystal display (LCD). With the help of this functionality, the system can identify whether the gas pressure inside the cylinder is above or below the permitted range.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eLCD circuit\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe system created to display sensor readings for measuring gas pressure uses a 16x2 LCD as an output device. The user\u0026apos;s access to more precise and accurate information produced from the sensor readings is made easier by this display.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eOpen and Locked Regulators\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe regulator can be locked or unlocked thanks to the regulator valves. The regulator can accept gas from the tube and let it to flow through the tube hose leading to the stove when it is locked. The valve tip is above when the valve is in the open position, as seen in the illustration below.\u003c/p\u003e\n\u003cp\u003eThe end position of the valve with regard to the locked regulator is located below. The regulator valve is locked by turning the valve 180 degrees counterclockwise from the open position to the locked position. As seen in the illustration below, this will cause the valve tip to be pointed downward.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMPX5700 Sensor Data Collection\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe sensor is interfaced with the regulator to collect data on the sensor; during the data collection process, the manometer regulator is replaced with the sensor by establishing a link through a hose that facilitates the gas flow. The sensor detects the gas thus passing through the hose and generates the associated pressure reading. To make sure the data is accurate for the real-world situations, the obtained sensor data is then compared with the original manometer reading on the regulator.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eBy carefully examining the data gathered by the sensor and contrasting it with the readings of the manometer attached to the regulator, the MPX5700 sensor\u0026apos;s analysis is carried out. The experimental process comprises applying gas pressure to the sensor, recording sensor readings, and processing them further using the preconfigured Arduino application. The accuracy of the pressure readings obtained by the sensor is then verified by comparing the manometer data with the relevant sensor dataset.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMPX5700 testing\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eDuring testing, the MPX5700 sensor is used to more precisely measure the gas cylinder\u0026apos;s contents. The researchers have noted that it is unknown what is in the gas cylinders used in community dwellings. At the moment, manometers sold with regulators just show numbers and colors, with no explanation of what the colors stand for. It\u0026apos;s not clear if the red hue denotes a full gas supply in the tube or if it denotes another color. Users of LPG gas cylinders frequently have this uncertainty about whether the cylinder is fully or partially filled. Even when the contents of the tube do not correspond to the amount specified, such a restriction is frequently disregarded.\u003c/p\u003e\n\u003cp\u003eA newly purchased gas cylinder was once weighed by researchers, who discovered that it weighed about 7.8 kg overall, with the gas inside the cylinder weighing about 2.8 kg and the cylinder itself weighing about 5 kg. However, the researchers did not take into account the actual unit form when they used the manometer regulator to calculate the contents of the cylinder; instead, they only used the colors that were present.\u003c/p\u003e\n\u003cp\u003eAccording to the LPG specifications published by the Directorate General of Oil \u0026amp; Gas No. 26525.K/10/DJM.T/2009 (Pertamina, 2010), the LPG product must contain at least 97% Propane (C3) \u0026amp; Butane (C4) mixture and at most 2% of Propane (C3) \u0026amp; Butane (C4) mixture, with a maximum pressure parameter determined by steam set at 145 psi.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e1\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003eMPX5700 Sensor Test Results\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"293\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"19.17808219178082%\" valign=\"top\"\u003e\u003cstrong\u003eVolt\u003c/strong\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"32.19178082191781%\" valign=\"top\"\u003e\u003cstrong\u003ekpa\u003c/strong\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"29.10958904109589%\" valign=\"top\"\u003e\u003cstrong\u003epsi\u003c/strong\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"19.52054794520548%\" valign=\"top\"\u003e\u003cstrong\u003ebar\u003c/strong\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"19.17808219178082%\"\u003e0.2V\u003cbr\u003e4.5V\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"32.19178082191781%\"\u003e28.089 kPa\u003cbr\u003e697.861 kPa\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"29.10958904109589%\"\u003e4.073 Psi\u003cbr\u003e101.190 Psi\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"19.52054794520548%\"\u003e0.3 bars\u003cbr\u003e6.9 bars\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eThe goal of the experiment was to evaluate the MPX5700DP sensor\u0026apos;s performance when used to gauge the pressure within a 3 kg gas cylinder. The manometer was removed from the regulator by the researcher prior to the test by removing its nozzle and replacing it with a hose that linked directly to the sensor. When measuring the initial gas state with a pressure of 0.3 bar, the sensor was made to display a minimum voltage of 0.2v, which was displayed on the LCD that was programmed with Arduino code. An alarm was added to the sensor to give people a heads-up when gas was running low. The alert was set to go off when the gas pressure dropped below 0.5 bar. Gas customers were given the opportunity to plan for future gas supplies and prevent unexpected stove shutdowns as a result of the buzzer sounding and alert message being displayed on the LCD.\u003c/p\u003e\n\u003cp\u003eThe MPX5700DP sensor reads 4.5 volts when the pressure is at 7 bar, which is equivalent to 0.7 MPa, as shown in the illustration, when the regulator valve is rotated to allow pressure to be received by the sensor.\u003c/p\u003e\n\u003cp\u003eThe authors of this paper evaluate the effectiveness of current regulators to their newly created gas pressure monitoring system. In order to compare two regulators, one of which is a basic model that just shows numerical values between 0 and 10, without any indication of a measurement unit. The range of the other regulator, which shows pressure in bars (MPa), is 0 to 8. The newly built sensor was able to produce the desired findings (as shown in the picture) when the experiment\u0026apos;s fundamental regulator was tested, as shown when the needle manometer pointed to number 7.\u003c/p\u003e\n\u003cp\u003eRegarding the second regulator, it should be noted that the manometer\u0026apos;s needle pointed to the number 8, indicating a slight discrepancy from the sensor\u0026apos;s results.\u003c/p\u003e\n\u003cp\u003eThe researchers next examined the condition of the second regulator in order to assess the level of error in the sensor created for this regulator. Initially, raw data in the form of voltage was taken straight from the gas cylinder and transformed into the pressure units of kPa (kilopascal) and psi (pounds per square inch). The researchers used an equation found in the thesis of an automated water rocket launcher to make this translation easier:\u003c/p\u003e\n\u003cp\u003eVolts = V * (5 / 1023)\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;\u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;(1)\u003c/p\u003e\n\u003cp\u003eSince the voltage received did not fall within the anticipated range of 0 to 5 volts, pin A0 of the Arduino microcontroller was used to measure the analog value that the Arduino had been given. The voltage value was then translated into the proper pressure units after being obtained. The thesis on automatic water rocket launchers, which is included in the appended documents, served as the basis for the formula used to calculate pressure values in kilopascals (kPa) and pounds per square inch (psi):\u003c/p\u003e\n\u003cp\u003ekpa = ((Volts /5) \u0026ndash; 0.04) / 0.0012858\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;\u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;(2)\u003c/p\u003e\n\u003cp\u003epsi = kpa * 0.145 \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;(3)\u003c/p\u003e\n\u003cp\u003eThe pressure range that this sensor is capable of monitoring varies from 15 to 700 kPa, as stated in the MPX5700DP sensor datasheet. It\u0026apos;s important to note that 1 kPa equals 0.145 psi, although the barometer reads 1 psi as 6.89 kPa (as noted in the datasheet included). The information acquired from the sensor can then be deduced from the table below:\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e2\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003eMPX5700 sensor testing with Regulator\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"484\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.115702479338843%\" valign=\"top\"\u003e\u003cstrong\u003eFirst Regulation (Without Unit)\u003c/strong\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"17.56198347107438%\" valign=\"top\"\u003e\u003cstrong\u003eSecond Regulator (Unit)\u003c/strong\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"23.760330578512395%\" colspan=\"2\" valign=\"top\"\u003e\u003cstrong\u003eMPX5700 sensors\u003c/strong\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"18.59504132231405%\" colspan=\"3\" valign=\"top\"\u003e\u003cstrong\u003eError\u003c/strong\u003e\u003cbr\u003e\u003cstrong\u003eet\u003c/strong\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"23.96694214876033%\" colspan=\"2\" valign=\"top\"\u003e\u003cstrong\u003eEt2 Squared Error\u003c/strong\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.082474226804123%\" valign=\"top\"\u003e0\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"17.52577319587629%\" valign=\"top\"\u003e0bar\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"11.958762886597938%\" valign=\"top\"\u003e0.3bar\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"11.958762886597938%\" valign=\"top\"\u003e0.3bar\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"9.072164948453608%\" valign=\"top\"\u003e-0.3\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"9.484536082474227%\" colspan=\"2\" valign=\"top\"\u003e-0.3\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"12.164948453608247%\" valign=\"top\"\u003e0.09\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"11.75257731958763%\" valign=\"top\"\u003e0.01\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.082474226804123%\" valign=\"top\"\u003e7\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"17.52577319587629%\" valign=\"top\"\u003e8bar\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"11.958762886597938%\" valign=\"top\"\u003e6.9bar\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"11.958762886597938%\" valign=\"top\"\u003e6.9bar\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"9.072164948453608%\" valign=\"top\"\u003e0.1\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"9.484536082474227%\" colspan=\"2\" valign=\"top\"\u003e1,1\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"12.164948453608247%\" valign=\"top\"\u003e0.09\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"11.75257731958763%\" valign=\"top\"\u003e1.21\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"66.73553719008264%\" colspan=\"6\" valign=\"top\"\u003eSum of Squares Error\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"9.297520661157025%\" valign=\"top\"\u003e\u0026nbsp;\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"12.190082644628099%\" valign=\"top\"\u003e0.18\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"11.776859504132231%\" valign=\"top\"\u003e1.22\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"66.73553719008264%\" colspan=\"6\" valign=\"top\"\u003eMean Square Error (MSE) Value\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"9.297520661157025%\" valign=\"top\"\u003e\u0026nbsp;\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"12.190082644628099%\" valign=\"top\"\u003e0.09\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"11.776859504132231%\" valign=\"top\"\u003e0.61\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eThe Mean Square Error (MSE) is first calculated in the current study by comparing the obtained and actual values. By deducting the outcome value from the actual value, this error is calculated. According to Gofur and Widianti\u0026apos;s (2013) research, the error can be calculated using the formula below.\u003c/p\u003e\n\u003cp\u003eEt = Xt \u0026ndash; Ft\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;(4)\u003c/p\u003e\n\u003cp\u003eInformation:\u003c/p\u003e\n\u003cp\u003eet\u0026nbsp;\u0026nbsp;= error value\u003c/p\u003e\n\u003cp\u003eXt\u0026nbsp;\u0026nbsp;= data actual in period t\u003c/p\u003e\n\u003cp\u003eFt\u0026nbsp;\u0026nbsp;= data results in period t\u003c/p\u003e\n\u003cp\u003eThe error values between the actual and outcome values are then squared after being obtained by subtraction. The acquired values are then used to calculate the Mean Square Error (MSE) value. The MSE is a measure used to assess the accuracy of the findings. More precise results are shown by lower MSE values. The MSE value can be calculated using the formula shown below:\u003c/p\u003e\n\u003cp\u003eMSE = \u0026sum; Et2 / n\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;\u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;(5)\u003c/p\u003e\n\u003cp\u003eInformation:\u003c/p\u003e\n\u003cp\u003eEt2 = squared error value\u003c/p\u003e\n\u003cp\u003en \u0026nbsp; \u0026nbsp;= lots of data\u003c/p\u003e\n\u003cp\u003eBased on the information in Table 2, it can be concluded that the MPX5700 sensor experiment employing the regulator produced results with a high degree of precision, as evidenced by the Mean Square Error (MSE) number.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTesting LCD 16x2\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis experiment aims to evaluate the LCD\u0026apos;s performance in accordance with the Arduino\u0026apos;s programming. In this system, the LCD\u0026apos;s main function is to display the information acquired from the MPX5700DP sensor, which is regarded as a critical part. This sensor is anticipated to serve as a digital manometer value, as was previously stated.\u003c/p\u003e\n\u003cp\u003eThe display of input data from the MPX5700DP sensor, with the output being presented on the LCD, was used to test the system\u0026apos;s LCD\u0026apos;s operation. The LCD readout specifically stated \u0026quot;Gas Contains 7.0 bar\u0026quot;, proving that the specified functionality was carried out as intended.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAndroid App Testing\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn this study, a smartphone app was used to keep track of the gas\u0026apos;s condition, including leaks and pressure data that were sent to the cloud platform Thingspeak. Researchers had a convenient tool for making smartphone applications when they used the cloud-based MIT App Inventor to construct the application.\u003c/p\u003e"},{"header":"Conclusion and Advice","content":"\u003cp\u003eThe study comes to the conclusion that the created system can efficiently and precisely identify LPG gas based on the findings and evaluation. The information about the gas level is efficiently shown on the smartphone\u0026apos;s user interface and is uploaded using esp8266 01 modules over an internet connection. Additionally, the system successfully transmits the data to the cloud with a one minute, two second delay. Additionally, the data collected offers helpful information on gas leak levels and precisely gauges LPG gas pressure.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAuthor contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFrabowo Prasetia completed the whole process of designing experiments, collecting data, analyzing data, and writing the first draft of the article. The author(s) read and approved the final manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNo Funding.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNo datasets were analyzed during the current study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNo applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe author declare no competing interests.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor\u003c/strong\u003e \u003cstrong\u003edetails\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e1\u003c/sup\u003ePoliteknik ATI Makassar, Makassar City, Indonesia\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eAlfian, K. (2017). Design of Blood Volume, Blood Pressure, and Pulse Rate Monitoring Devices as Parameters for Selecting Blood Donor Participants. Electronic Journal of Electronic Engineering Education, 1-7.\u003c/li\u003e\n\u003cli\u003eAritonang, W. (2021). Implementation of DS18B20 Temperature Sensor and MPX5700AP Pressure Sensor using Arduino Microcontroller in Stress Level Detection Tool. Wahana Pendidikan Scientific Journal, 153-160.\u003c/li\u003e\n\u003cli\u003eAxel, RD, Najoan, X., \u0026amp; Sugiarso, BA (2017). Design and Build Android-based Applications for Church Activities and Services. E-Journal of Electrical and Computer Engineering, 1-6.\u003c/li\u003e\n\u003cli\u003eFatoni, A., \u0026amp; Rendra, DB (2014). Design of a Lampi Control System Prototype System using Arduino-Based Android Phones. Prosisko: Journal of Research Development and Observation of Computer Systems, 23-29.\u003c/li\u003e\n\u003cli\u003eHakim, L., \u0026amp; Jonathan, V. (2017). LPG gas leak detection using Arduino Detector with Mamdani Fuzzy Logic Algorithm. Journal of Systems Engineering and Technology, 114-121.\u003c/li\u003e\n\u003cli\u003eMochtiarsa, Y., \u0026amp; Bachtiar, S. (2014). Lamp Control Design Using Vibration Sensor Based ATMega328 Microcontroller. Journal of Semantic Informatics, 40-44.\u003c/li\u003e\n\u003cli\u003eMufidah, AN, Setyawan, A., Gunadi, I., \u0026amp; Suseno, JE (2018). The biodigester flow distribution control system uses a pressure sensor MPX5700AP. Journal of Physics, 1-8.\u003c/li\u003e\n\u003cli\u003eMukhopadhyay, S., \u0026amp; Suyadeyara, N. (2014). Internet of Things: Challenges and Opportunities. Smart Sensors, Measurement, and Instrumentation, 1-17.\u003c/li\u003e\n\u003cli\u003eNettikadan, D., \u0026amp; MS, SR (2018). Smart Community Monitoring System Using Thingspeak IoT Platform. International Journal of Applied Engineering Research, 13402-13408.\u003c/li\u003e\n\u003cli\u003ePalatella, MR, Dohler, M., Grieco, A., Rizzo, G., Torsner, J., Engel, T., \u0026amp; Ladid, L. (2016). Internet of Things in the 5G era: enablers, architecture, and business models. IEEE Journal on Selected Areas in Communications, 510-527.\u003c/li\u003e\n\u003cli\u003ePasha, S. (2016). Thingspeak Based Sensing and Monitoring System for IoT with Matlab Analysis. International Journal of New Technology and Research (IJNTR), 19-23.\u003c/li\u003e\n\u003cli\u003ePertamina. (2010). Ministry of State Owned Enterprises. Retrieved from http://www.bumn.go.id/pertamina/berita/471/komposition.elpiji.cepat.spesifikasi.standar.keselamatan\u003c/li\u003e\n\u003cli\u003eSetiadi, D., \u0026amp; Muhaemin, M. (2018). Implementation of the Internet of Things (IoT) in Irrigation Monitoring Systems (Smart Irrigation). Infotronic Journal, 95-102.\u003c/li\u003e\n\u003cli\u003eWihidayat, ES, \u0026amp; Wihidayat, ES (2017). Android Application Development Using the Integrated Development Environment (IDE) App Inventor 2. Edutic Scientific Journal, 1-12.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Liquified Petroleum Gas, MPX5700, LCD","lastPublishedDoi":"10.21203/rs.3.rs-2889519/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-2889519/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eLPG (Liquified Petroleum Gas) gas has a positive impact on burning gas cleaners and reduces air pollutant levels, while the negative impact is that it is more flammable in the air with high pressure. The Internet of Things (IoT) is a technology whose goal is to integrate devices into the Internet. Many previous studies have been carried out as an example on blood volume, blood pressure, and pulse monitoring devices which aim to select blood donors based on blood pressure and blood volume with external storage. The existence of an analog manometer measuring device is part of a conventional needle panel pressure measurement which could have an error in measuring the pressure. The need to use a digital manometer to properly prove gas pressure. This digital manometer can provide more accurate and detailed gas pressure information through the LCD display.\u003c/p\u003e","manuscriptTitle":"Development of Gas Pressure Monitoring System Based on Internet of Things (IoT)","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2023-05-12 21:04:58","doi":"10.21203/rs.3.rs-2889519/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"2fad555c-2edd-4bbd-ae35-fc05c9a77156","owner":[],"postedDate":"May 12th, 2023","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2023-05-19T00:29:22+00:00","versionOfRecord":[],"versionCreatedAt":"2023-05-12 21:04:58","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-2889519","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-2889519","identity":"rs-2889519","version":["v1"]},"buildId":"7rjqhiLT3MXkJMwkYKINL","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}