Web-based Monitoring System Research Articles

Perancangan dan Pengembangan Sistem Informasi Monitoring Sewa ATM Berbasis Web Menggunakan Metode SDLC

Several bank institutions in Indonesia often experience obstacles in the process of processing data and information monitoring ATM rentals. The purpose of this research is to facilitate the process of processing data and monitoring related to ATM rentals to be more practical, efficient, and accurate in order to reduce errors that often occur when using the previous system. The data collection method used in this study is by observing and interviewing with parties involved in the administration of the ATM rental process. Based on the problems in the bank that is still doing manual data collection for ATM rental activities, namely by processing data in Microsoft Excel. In designing the system, the method used in this study is the Software Development Life Cycle (SDLC) method and uses the Codeigniter PHP Framework. Web-based ATM rental monitoring information system using the SDLC method is able to provide solutions to problems that often occur in the ATM rental process, and with this web-based monitoring system, it can maximize the monitoring process and improve the data collection process for the better. ATM rental activities can also run effectively and efficiently and are able to solve problems that often occur in the bank. This web-based monitoring information system using the SDLC method can also be developed again according to the needs desired by the user.

Web-based Environment Monitoring System

Green building is the concept of designing, building, operating, and maintaining buildings that pay attention to the use of natural resources, indoor air quality, and the health of the occupants. This green building is the choice in responding to the issue of limited non-renewable energy. To monitor the environmental conditions of green buildings, a sensor system is needed to maintain environmental conditions according to standards. This study aims to design a sensor system to monitor environmental conditions in Universitas Multimedia Nusantara. A real-time monitoring system is needed to maintain the green building environment's condition. The results of the study succeeded in designing a real-time monitoring system for green building environmental sensors, especially web-based classrooms using the NodeMCU ESP8266, DHT22 Sensor, and LDR Sensor. The difference in readings between the monitoring sensor system and the environment meter for lighting levels, temperature, and humidity respectively is 0.67 lux, 0.9°C, and 5.8%RH.

Sensor and internet of things based integrated inundation mitigation for smart city

<span lang="EN-US">Flooding is a natural phenomenon that often occurs in tropical countries. Drainage design is one of the efforts to prevent floods, however, when the rainfall is high, there are still several inundation points that occur. This requires comprehensive handling to reduce the impact of these inundations, to get an adaptive solution, the use of internet of things based (IoT) tools is one of the alternatives proposed. This study proposes an IoT-based flood inundation monitoring system, which includes a water level reader, a web-based inundation monitoring system, a flood inundation area and depth reporting system as evaluation materials for the government city. The sensor module that we propose is a series of sensors in a hollow cylinder design to reduce water ripples. The server application is displayed in the form of an interactive area mapping which is divided into 4 layers for 4 different analyzes so that central officers can quickly coordinate with field officers to carry out mitigation actions in the affected area. The module requires a low cost and easy installation process compared to a liquid sensor, besides that the display in the form of a web makes it easier for officers to access monitoring applications anywhere compared to geographic information system based (GIS) applications. This research has been carried out and tested in one of the major cities in Indonesia.</span>

Fostering practice-based evidence through routine outcome monitoring in a university psychotherapy service for common mental health problems: a protocol for a naturalistic, observational study

IntroductionData-informed psychotherapy and routine outcome monitoring are growing as referents in psychotherapy research and practice. In Ecuador, standardised web-based routine outcome monitoring systems have not been used yet, precluding data-driven...

Energy Consumption Monitoring System Based on IoT for Residential Rooftops

This work aims to create a web-based real-time monitoring system for electrical energy consumption inside a specific residence. This electrical energy is generated from a micro-CPV system lying on the roof of this residence. The micro-CPV is composed of a Fresnel lens as the main optical element, a spherical lens as the secondary optical element, and a multi-junction solar cell. A tiny photovoltaic concentrator system with a geometric concentration ratio of 100× is analyzed in the first part of this study, while the second part is designed to monitor the electricity generated by the micro-CPV system. An ESP8266 controller chipset is used to build the sensing peripheral node, which controls a relay and a PZEM-004T current sensor. As a result, the optical element used has approximately 83% optical efficiency, with an acceptance angle of 1.5°. Regarding the monitoring system, the architecture demonstrates the ability of the system to monitor current and energy consumption in real time using a computer or smartphone and a web server specially designed to continuously update the power consumption profile in a specific smart home environment. The whole electric power consumption monitoring system generally worked well. The monitoring system is configured to provide excellent accuracy for a 0.6% hit.

Web-based low–cost rooftop solar power plant for household application

The global warming issue has been resolved through Sustainable Development Goals (SDGs) agreed upon by the world. One of the SDGs is affordable and clean energy. Green energy, such as solar energy, is a solution to realize it. Solar energy has massive potential as renewable energy in tropical countries. On the one side, solar energy is an excellent renewable energy. On the other side, solar energy has a low maturity level of technology. It is proven by the extravagant investment cost of building a solar power plant. Indonesia has an investment cost of up to 1200 USD per kWh, which is unsuitable for household applications. This investment cost will continue to be higher when it uses an IoT system for monitoring or managing the solar power plant. The low-cost solar power plant was designed using a hybrid system to reduce the investment cost. The industrial standard components include ACS712 as a current sensor, ZMPT101B as an AC voltage sensor, and ESP32 as a data processor and IoT module. The Blynk platform, connected to ESP32, is a web-based monitoring system. The success parameter consists of the DC voltage and current from battery and solar panel, AC voltage and current from single phase inverter. The low-cost solar power plant is designed in a 1.92 kWh battery pack with 1 kWh of AC continuous output power with total investment cost 1080 USD. The proposed solar power plant design decreases an investment cost by 14.29% up to 50.00 % per kWh.

Utilizing Random Forest with iForest-Based Outlier Detection and SMOTE to Detect Movement and Direction of RFID Tags

In recent years, radio frequency identification (RFID) technology has been utilized to monitor product movements within a supply chain in real time. By utilizing RFID technology, the products can be tracked automatically in real-time. However, the RFID cannot detect the movement and direction of the tag. This study investigates the performance of machine learning (ML) algorithms to detect the movement and direction of passive RFID tags. The dataset utilized in this study was created by considering a variety of conceivable tag motions and directions that may occur in actual warehouse settings, such as going inside and out of the gate, moving close to the gate, turning around, and static tags. The statistical features are derived from the received signal strength (RSS) and the timestamp of tags. Our proposed model combined Isolation Forest (iForest) outlier detection, Synthetic Minority Over Sampling Technique (SMOTE) and Random Forest (RF) has shown the highest accuracy up to 94.251% as compared to other ML models in detecting the movement and direction of RFID tags. In addition, we demonstrated the proposed classification model could be applied to a web-based monitoring system, so that tagged products that move in or out through a gate can be correctly identified. This study is expected to improve the RFID gate on detecting the status of products (being received or delivered) automatically.

Sistem Monitoring Online Dan Analisis Perfomansi Plts Panel Surya Monocrystalline 100 Wp Berbasis Web

In this modern life, people's dependence on energy sources, especially electrical energy, has led to innovation in the use of cheap alternative energy sources that are environmentally friendly such as solar energy, one of which is PLTS. To support PLTS performance, a web-based monitoring system is needed for remote monitoring in monitoring PLTS performance, the data displayed is the result of measurements by voltage and current sensors installed in each solar panel on the PLTS performance detector. In this case, it is necessary to develop a Web-based monitoring system to help improve the efficiency of performance maintenance on 100 wp monocrystalline panels. By using the INA260 sensor in the form of a digital DC sensor that can measure a maximum current of 15 A, a maximum voltage of 36 v, and DC power and the DS18B20 sensor is a digital sensor that can measure the surface temperature of the panel. Sensor readings can be displayed offline via the HMI LCD while online readings can be displayed in the form of a Web which has a graphical display feature for each parameter and downloads data in the form of a .csv file as a feature that supports data analysis. The results of the sensor validation test or calibration using a measuring instrument have an average error sensor reading of 0.34 %. The average current sensor error is 0.63%, and the power sensor error average is 0.56%, while the average panel surface temperature sensor error is 0.34%

Sistem Informasi Monitoring Pembayaran Piutang Penjualan Berbasis Web

Progress and development of information technology occur quickly. This encourages business entities or companies to use information technology to support the development of employee performance to make it easier and more efficient. The application of information systems in various fields is now also widely used, one of which is in the field of accounting. However, not all companies have implemented a web-based information system, one example at PT. Sarana Anugerah Perdana. Problems that occur at PT. Sarana Anugerah Perdana is a credit payment monitoring system that still uses semi-computerization so that A.R staff have difficulty distinguishing which customer receivables are due or are due. Based on the background of the problem, the authors want to create a web-based monitoring system at PT. Sarana Anugerah Perdana. This research was conducted using the SWOT analysis method, system requirements elicitation and system design using UML (Unified Modeling Language) to visualize. In addition, the programming language used is PHP (Hypertext Preprocessor), database server with MySQL, sublime text 2, CodeIgniter framework and web server with XAMPP. With the existence of a system of monitoring the payment of accounts receivable, it can facilitate AR staff (Account Receivable) in monitoring customer receivables and also facilitate in making and producing payment reports and accurate accounts receivable.

Automated water quality monitoring and regression-based forecasting system for aquaculture

Water quality in fish tanks is essential to reduce fish mortality. Many factors affect the water quality, such as pH, dissolved oxygen, and temperature in fish tanks. Existing work has presented water quality monitoring systems for aquaculture, which are useful for automatic monitoring and notify any incidence of decline in water quality. It enables the fish farms to make interventions to reduce fish mortality. However, advanced monitoring through forecasting is necessary to ensure consistent optimum water quality. This paper presents a web-based water quality monitoring and forecasting system for aquaculture. First, a water quality forecasting model based on the long short-term memory is designed and developed. The model is evaluated and fine-tuned using the existing public dataset. Second, the prototype of the water quality monitoring and forecasting system is developed. An Arduino and Raspberry Pi based water quality data acquisition tool is built. A web-based application is then developed to present the monitoring data and forecasting. A notification module is included to send an alert message to the fish farmers when necessary. The system is tested and evaluated at the fish hatchery in Universiti Malaysia Sabah. The findings show that the proposed system provides better water quality management for fish farms.

Web Based Social Assistance Distribution Monitoring System Using Waterfall Method

Currently, the Indonesian nation is in a state of economic crisis, many people are affected by the economic crisis. Social assistance is the provision of assistance in the form of money/goods from the government to underprivileged communities, which aims to improve people's welfare and meet the needs of the community in maintaining their lives during the current economic crisis. The village head is one of the government officials as well as officers from the social assistance distribution with the aim of minimizing the problem. A lot of assistance comes but is not evenly distributed to people in need, it is necessary to have a monitoring system for the distribution of social aid programs so that the assistance distributed remains on target and the quality of budget absorption is optimal. The monitoring process will be carried out by the village head directly to monitor the progress of the distribution of aid and submissions. Therefore, this research will build a web-based monitoring system for the distribution of social assistance. This social assistance distribution system in the form of a website, will contain data on recipients of the family hope program and community submission data. The design of this system uses Unified Modeling Language (UML) and the development of the system uses the Waterfall method which will test the system. With this system, it will help the Village Head in monitoring the distribution of aid and assist the community in submitting it.

Monitoring System for a Hybrid Photovoltaic-Diesel Power System: Web-Based SCADA Approach

This paper presents a low-cost open-source web-based SCADA monitoring system that will provide a new application of real-time instrumentation for monitoring a hybrid photovoltaic-diesel power system. The system’s purpose is to monitor parameters such as the voltage and current of the AC and DC buses. A cheap Arduino acquisition board is the foundation for the system design, as documentation of the board is widely available. Data are displayed through a local host Node-Red and web real-time database system, and the acquisition is accomplished using a reasonably priced current and voltage sensors. To improve the stability and operability of the newly constructed monitoring system, a secure and cost-effective internet connection has been created between external clients and the primary network webserver. Amazon web server is configured to allow access to remote clients when credentials and certificates are verified. The proposed system shows its ability to acquire real-time data by monitoring the hybrid system and storing the data in the client database for future access. Since the proposed system is less costly and time-consuming, and can assimilate and record data more easily, it can readily replace human intervention to avoid errors associated with multimeters’ readings. Eventually, analyzing such data, will lead to enhance both the performance and operational efficiency of the monitored hybrid power system.

Development of a web-based single-phase load monitoring and auditing system

<span lang="EN-US">In a developing nation like Nigeria, the conventional load monitoring and billing system has proved to be tedious, time-consuming, expensive, and prone to human error over the years. Therefore, this creates the need for an efficient system that can assist the Utility to monitor the energy consumption trend of the customers remotely. This work developed a web-based single-phase load monitoring and auditing system using NodeMCU (ESP8266) microcontroller, PZEM-004T sensor, and liquid crystal display (LCD) module for the hardware unit and Blynk internet of things (IoT) platform for the software unit. The system design was implemented around the ESP8266 microcontroller with relevant design models, and standard power and energy equations programmed into the microcontroller in the Arduino integrated development environment. The developed system was load tested to examine its performance and determine its reading error. The hardware and software units of the system operated satisfactorily when tested. The reading accuracy for current and voltage measured by the device were ±0.2% and ±0.4%, respectively, giving a reading error of ±0.8% for power measurement. The developed system is suitable for residential, commercial, and similar applications where the energy usage trend of some small loads is required for management purposes.</span>

Sistem Brankas Berbasis Internet Of Things Mengunakan Arduino Mega 2560

Safes in the market are usually doesn’t offer a system that can monitor the activities carried out by users on the safe. This becomes a problem when the safe has many users who can access it. We can't identify who, when or what other users are doing. In addition, safes generally have an authentication system that only offers passcodes and keys. That authentication system is considered outdated. In this study, a web-based safe monitoring system was created that uses a fingerprint sensor and passcode as authentication. In addition, this system can also send data about user activity to the website so that admins or other users can monitor anyone who accesses the safe. This system will be tested using black box testing. In the test, it was found that this safe system can only be opened if the user inputs a valid passcode and a finger print that has been registered in the system. In addition, the activity data has been successfully sent to the website. In security testing, it was found that if the safe door is opened forcibly, an alarm in the form of a buzzer will ring and a warning notification will be sent to the website.

Monitoring System Prototype Design at The Project Management Units

Project Management Unit of ERP (Enterprise Resource Planning) serves to limit, planning, forecasting, scheduling, organizing, directing, controlling, and closing projects. Technological development monitoring system and growing can be used to assist management in monitoring to ensure all activities conducted goes according to plan. The technology can be used as a media monitoring include web-based technology. The method used is by direct observation in ERP Project Management Unit, analyzing procedures and processes on the system is running, as well as describe the procedure using UML. To support the accuracy of the data, the research conducted by the method of literature, by searching for relevant information from various books and browsing the Internet. I also conduct experiments or in practice in the design and manufacture of prototype applications Project Management Monitoring System. The benefits of this research is to produce a new system in the form of application Project Management Web-based Monitoring System is capable of supporting high mobility of employees to report any activity that has been, is being, or will be done in realtime. The report was subsequently used as a basis for analyzing the shortcomings of the activities that have been done so that management can do forecasting activities that will be implemented in the future. From this research, the expected performance of the ERP Project Management Unit in monitoring projects can be more effective, efficient, and optimal

Eight-year operation status and data analysis of the first human milk bank in East China

BackgroundHuman milk banks (HMBs) are essential facilities for the selection, collection, testing, transportation,storage, and distribution of DHM for special medical needs. The aim of this analysis was to analyze the operation status and data over the last 8 years of operation of the first human milk bank (HMB) in East China.MethodsData related to the costs, donors, donation, pasteurization, and recipients were extracted from the web-based electronic monitoring system of the HMB for the period August 1, 2013 to July 31, 2021.ResultsOver the 8 years of operation, 1,555 qualified donors donated 7,396.5L of qualified milk at a cost of ¥1.94 million($306,051), with the average cost per liter of donor human milk being ¥262.3($41.4). The donors were between 25 and 30 years of age, and the majority (80.1%) were primipara. All the donated milk was pasteurized and subjected to bacteriological tests before and after pasteurization: 95.4% passed the pre-pasteurization tests, and 96.3% passed the post-pasteurization tests. A total of 9,207 newborns received 5,775.2L of pasteurized donor milk. The main reason for the prescription of donor human milk was preterm birth. As a result of continuous quality improvements, January 2016 witnessed a significant increase in the volume of qualified DHM and the number of qualified donors. However, in 2020, as a result of the restrictions related to the COVID-19 pandemic, the volume of qualified DHM and the number of qualified donors decreased.ConclusionsOver its 8 years of operation, our HMB has made steady quality improvements in its screening and information processes. Continuous quality improvement is on ongoing need, along with recruiting more qualified donors and collecting donor human milk for vulnerable newborns.

Design Of Monitoring Information System Stock Items At Partner Stores In Web-Based Semarang

Toko Mitra is a grocery or retail store that is engaged to meet daily needs. Monitoring stock and transaction financial reports at Partner Stores in Semarang often experience problems. This is because the shop owner still uses a manual system, so that the recording of incoming and outgoing goods still does not match the last stock. Therefore, I want to provide a solution to Partner Shop owners by creating a web-based stock monitoring program. In building a stock monitoring system, I use programming languages PHP and JavaScript, MySQL as a database, and the CodeIgniter framework. The existence of a web-based stock monitoring system at Partner Stores is expected to help monitor activities that occur in the store to make it faster and more efficient.

Cost-effectiveness of a medication event monitoring system for tuberculosis management in Morocco.

BackgroundDigital health technologies have been used to enhance adherence to TB medication, but the cost-effectiveness remains unclear.MethodsWe used the real data from the study conducted from April 2014 to December 2020 in Morocco using a smart pillbox with a web-based medication monitoring system, called Medication Event Monitoring Systems (MEMS). Cost-effectiveness was evaluated using a decision analysis model including Markov model for Multi-drug resistant (MDR) TB from the health system perspective. The primary outcome was the incremental cost-effectiveness ratio (ICER) per disability adjusted life-year (DALY) averted. Two-way sensitive analysis was done for the treatment success rate between MEMS and standard of care.ResultsThe average total per-patient health system costs for treating a new TB patient under MEMS versus standard of care were $398.70 and $155.70, respectively. The MEMS strategy would reduce the number of drug-susceptible TB cases by 0.17 and MDR-TB cases by 0.01 per patient over five years. The ICER of MEMS was $434/DALY averted relative to standard of care, and was most susceptible to the TB treatment success rate of both strategies followed by the managing cost of MEMS.ConclusionMEMS is considered cost-effective for managing infectious active TB in Morocco.

Control Theory Forecasts of Optimal Training Dosage to Facilitate Children's Arithmetic Learning in a Digital Educational Application.

Education can be viewed as a control theory problem in which students seek ongoing exogenous input-either through traditional classroom teaching or other alternative training resources-to minimize the discrepancies between their actual and target (reference) performance levels. Using illustrative data from [Formula: see text] Dutch elementary school students as measured using the Math Garden, a web-based computer adaptive practice and monitoring system, we simulate and evaluate the outcomes of using off-line and finite memory linear quadratic controllers with constraintsto forecast students' optimal training durations. By integrating population standards with each student's own latent change information, we demonstrate that adoption of the control theory-guided, person- and time-specific training dosages could yield increased training benefits at reduced costs compared to students' actual observed training durations, and a fixed-duration training scheme. The control theory approach also outperforms a linear scheme that provides training recommendations based on observed scores under noisy and the presence of missing data. Design-related issues such as ways to determine the penalty cost of input administration and the size of the control horizon window are addressed through a series of illustrative and empirically (Math Garden) motivated simulations.

Adaptive photovoltaic solar module based on internet of things and web-based monitoring system

<span>This paper presents an intelligent of single axis automatic adaptive photovoltaic solar module. A static solar panel has an issue of efficiency on shading effects, irradiance of sunlight absorbed, and less power generates. This aims to design an effective algorithm tracking system and a prototype automatic adaptive solar photovoltaic (PV) module connected through </span><span>internet of things (IoT). The system has successfully designated on solving efficiency optimization. A tracking system by using active method orientation and allows more power and energy are captured. The solar rotation angle facing aligned to the light-dependent resistor (LDR) voltage captured and high solar panel voltage measured by using Arduino microcontroller. Real-time data is collected from the dynamic solar panel, published on Node-Red webpage, and running interactive via android device. The system has significantly reduced time. Data captured by the solar panel then analyzed based on irradiance, voltage, current, power generated and efficiency. Successful results present a live data analytic platform with active tracking system that achieved larger power generated and efficiency of solar panel compared to a fixed mounted array. This research is significant that can help the user to monitor parameters collected by the solar panel thus able to increase 51.82% efficiency of the PV module.</span>