bluuebunny/crossref_metadata_2025_split huggingface dataset:
Oxygen Availability Control and Monitoring System in Hospitals using IoT
Authors: Nugraha Nikko Aji Bayu , Mashoedah  
Published: December 2021

Abstract
Medical Gas is an important component in the treatment of patients with COVID-19 disease. Medical gas is used to help COVID-19 patients to reduce the effects of respiratory disorders by providing oxygen ventilators to patients. With the surge in typical COVID-19 sufferers as of July 2021, the need for Oxygen in hospitals is getting higher. This is when the control and monitoring of medical gases in hospitals are late because the integrated system is very dangerous. Therefore, a system that can be used to control and monitor medical gases in hospitals that are integrated and automated and can be monitored by the Government and Medical Gas Producers. This is useful for anticipating the lack of availability of Medical Gas in hospitals. In this study, the system used IoT systems as a base in delivery and control. This system uses Arduino as a minimum system that reads the press sensor on the Medical Gas tube and regulates the valve. The data obtained is then sent to the Local Server to be processed and delivered to the Hospital Officer. Local Servers also send the data to cloud servers to be monitored by the government funds of several medical gas producers. This design can help in the process of controlling and monitoring Medical Gases in hospitals in hopes of minimizing the risk of delays in supplying medical gases to hospitals.
Analysis of the Impact of Distance and Temperature in Determining Transfer Power Using Laser Applications
Authors: Rahardjo I A , Muslim S , Wadjdi F , Rifan M , Sunawar A , Subekti M , Sakirah  
Published: December 2021

Abstract
This article aimed to analyze the impact of distance and temperature in determining transfer power using laser applications. This study used instruments consisting of a power meter, photovoltaic, laser, and DC power supply. This research was using experimental method. The impact of distance and temperature in determining transfer power using laser applications was concluded based on the results of calculation analysis, measurements of photovoltaic output power, distance, temperature, and laser input power. The impact of distance and temperature in determining transfer power using laser applications showed that the probability value or p-value was lower than the error/alpha level (a) (2.207E-18 <0.05). Likewise, the calculated F value is greater than the significance F (15290048>4.68386E-27). With the applicable provisions in testing the hypothesis, that the conclusion in this article rejected the null hypothesis (H0 : The distance and temperature have not an impact in determining transfer power using laser applications), and accepted the alternative hypothesis (H1:The distance and temperature have an impact in determining transfer power using laser applications).
Design and Development of Water Distribution Monitoring System in Regional Drinking Water Companies (PDAM) Based On Internet Of Things
Authors: Efrizon  , Irmansyah M. , Madona Era , Anggara N , Yultrisna  
Published: December 2021

Abstract
The purpose of this study is to create a prepaid PDAM clean water distribution system using a microcontroller based on the Internet of Things (IoT). The hardware used to realize the system consists of ultrasonic sensors, water flow sensors, relays, LCD buzzers and Arduino. ESP 8266 01 for delivery to the Thingspeak app. From the test results obtained HC-SR04 ultrasonic sensor reading error occurs when the water level is low and too high, the maximum measurable water level is 95%. When calculating the comparison between the water discharge that is read by the sensor and that measured by the measuring cup, the results are always not the same. The error when testing the water flow sensor at the water level is less than 49% this is influenced by the speed of the water fired by the pump, where the pump will be under low pressure when the water level is below that value. The system can monitor data readings from the water flow sensor using the ESP8266 monitored on the thinkspeak web server using a smartphone. Overall the tool can function well.
Developing an engaging whiteboard animation video for vitamins
Authors: Purwaningsih S , Anggraeni A A 
Published: December 2021

Abstract
Whiteboard animation videos are engaging learning media for Generation Z. This study aimed to develop and assess the feasibility of a whiteboard animation video for vitamin in the Nutrition Science subject for class X culinary vocational school. This study was research and development using a 4D approach (define, design, develop, disseminate). The define stage analyzed the curriculum, material, student character, learning media, and school facilities. The design stage included the writing and assessing the material, the writing and assessing of storyboards, and production team selection. The develop stage was making a video and assessing the feasibility. Animation images were created using Paint Tool Sai. Image conversion from JPEG to SVG was performed with Inkscape. The dubber’s voice was recorded with Universal Audio using the Apollo Twin audio interface and Avantone CV12 microphone. The audio was edited in Pro Tools 2020.9. To produce a whiteboard animation video, animation images, captions, dubber’s voice, and back sound were combined with VideoScribe. Videos used mpg format. In order to maintain video duration below 10 minutes, the video was divided into two parts. The assessment of video feasibility was carried out by one media expert and two content experts. The assessment of feasibility at the disseminate stage was carried out to 30 users. Based on the feasibility assessment, this video was very suitable to be applied as a learning medium.
Microcontroller Based Portable Incubator Monitoring Tool with Short Message Service (SMS) notifications
Authors: Irmansyah Muhammad , Efrizon  , Nasution Anggara , Madona Era 
Published: December 2021

Abstract
The aim of this research was applied a microcontroller, temperature sensor, weight sensor, heart rate sensor and GSM module to monitoring and notification of the condition of premature babies in portable incubators. The hardware used consists of a DS18B20 sensor, Load Cell, Pulse Heart Rate Sensor, Buzzer, LCD and SIM800L Module. The results showed the Pulse sensor and DS18B20 sensor could measure and detect the baby’s heart rate and baby temperature. The result was on the LCD with an average error of 4.354% for heartrate and 1.437% for temperature. The loadcell sensor can detect weight with an error of 2.16%. The duration of sending SMS to Smartphone is 8s for each delivery. SMS was sent if the baby weak and critical condition.
Development of Training Kit Basic Aerial Robotics Using RC Plane Robot for Robotics Course
Authors: Aziz F N , Mashoedah  
Published: December 2021

Abstract
RC Plane Robot and basic aerial robotics are technologies that are widely used, so training kits are needed to learn them. This study aims to: (1) Design and build, (2) Test performance and (3) Determine the feasibility level of training kit basic aerial robotics using RC plane robot. The study used the Research and Development method with the following procedures: (1) Potential and problem, (2) Data collection, (3) Design, (4) Validation, (5) Revision and (6) Trial. The object of the research is the RC Plane Robot training kit and the practicum jobsheet. The research subjects were students of the Electronic Engineering Education Study Program, Faculty of Engineering, Universitas Negeri Yogyakarta. The results of the research are in the form of hardware and practicum jobsheets. The hardware part consists of a robot plane, a work area (Box) and a remote control. The level of feasibility of training kits by material experts gets a percentage of 91%. By media experts get a percentage of 89.5%. By respondents (students) get a percentage of 86%. Based on these results, the training kit basic aerial robotics using RC plane robot is very feasible to be applied to the Robotics course.
Utilization Extract, Transform, Load For Developing Data Warehouse In Education Using Pentaho Data Integration
Authors: Barahama A D , Wardani R 
Published: December 2021

Abstract
The utilization of data warehouses in various fields is an absolute necessity. A data warehouse is a database that contains large amounts of data that aims to help organizations, fields, and institutions specifically for decision making. Data warehouses can produce important information in the future. Loading data from various sources and processed through an ETL (Extract, Transform, Load) process that displays data consistently is the basis for creating a data warehouse architecture. The development of a data warehouse in education will provide significant benefits for the progress of education. Integration of data and processing results stored in the data warehouse can be the basis for evaluating better planning. Development of data warehouse adopt the multidimensional modelling method which consists of four stages: select the business process, declare the grain, select dimensions, and identify facts. This stage produces a data warehouse architecture and influences and contributes to the advanced information technology in education.
Development of IoT-Based Smart Home Electrical Protection System
Authors: Renaldo R.Y. , Supriyadi Edy 
Published: December 2021

Abstract
This study aims to: (1) develop a smart home electrical protection system, (2) determine the feasibility, and (3) user responses to the developed system. Development research was conducted using the ADDIE and Waterfall models. Product trials were conducted on 94 respondents from college students. Data collection techniques using a questionnaire. Data were analyzed using descriptive techniques. The results showed that: (1) there was an IoT-based electrical protection system that was feasible to be applied in smart homes. (2) the feasibility of the developed media is included in the “Very Appropriate” category according to the expert, and (3) user responses to the IoT-based electrical protection system are in the “Very Good” category.
Electric Machines Virtual Laboratory: Testing of DC Motor
Authors: Badarudin R , Hariyanto D , Ali M , Meunmany S 
Published: December 2021

Abstract
This article describes the realization of testing the characteristics of a DC motor on Simulink as a virtual laboratory. Testing of DC motors based on real conditions in a physical laboratory by combining two DC machines coupled to shafts including DC motors and DC generators. The types of DC motors tested include separately excited DC motors, shunt DC motors, and series DC motors. The implementation of the Simulink model adopts the wiring diagram in the real test. The test procedure is also adopted on the real test procedure. The data from the test results are made in DC motor characteristics graph. Virtual laboratory using Simulink can be used to realize DC motor testing, including test procedures, running no-load DC motors, increasing the load of DC motors with infinitely simulation features on Simulink. The results of the study show the characteristics of the experimental data for all types of DC motors tested according to the theory.
The Effects of Rain Intensity and Water Elevation with Energy Productivity of Kracak Hydro Power Plant, Bogor Regency – West Java
Authors: Rahardjo I A , Suyitno  , Subekti M , Gunawan W , Wijayanto R P , Mahir I , Sakirah  
Published: December 2021

Abstract
This paper was aimed to know the effects of rain intensity and water elevation with energy productivity of Kracak Hydro Power Plant, Bogor Regency – West Java. The method used multiple regression analysis with a quantitative approach to describe the effects of rain intensity and water elevation with energy productivity of Kracak Hydro Power Plant. Based on the data, the highest rain intensity was in February of 13,35 mm with water elevation of 346,09 cm and produced electrical energy of 198.296 kWh. The lowest rain intensity was in July of 0,86 mm with water elevation of 194,02 cm and produced electrical energy of 49.772 kWh. The average rain intensity was 8,9 mm with water elevation of 324,12 cm and produced electrical energy of 156.010 kWh. The results of testing the effect of rain intensity with energy productivity at the Kracak hydropower plant resulted in a significance value of 0.002 (p <0.05) and a t value of 4.306. This value indicates that the significance value is below 0.05 and has a positive coefficient direction. It means that rain intensity has a significant positive effect with energy productivity at the Kracak hydropower plant. And the results of testing the effect of water elevation with energy productivity at the Kracak hydropower plant resulted in a significance value of 0.003 (p <0.05) and a t value of 3.864. This value indicates that the significance value is below 0.05 and has a positive coefficient direction. It means that water elevation has a significant positive effect with energy productivity at the Kracak hydropower plant. The conclusion on this research is the rain intensity and water elevation have effects with energy productivity of Kracak Hydro Power Plant.
Smart Air Filter Based on Activated Charcoal and Aloe Vera Using Fuzzy Logic Algorithm
Authors: Arifin F , Gusti W R , Nasuha A , Priambodo A S , Winursito A 
Published: December 2021

Abstract
Smoking is one of the main risk factors of several chronic diseases such as lung cancer, upper respiratory tract cancer, heart disease, stroke, bronchitis, emphysema and others, even smoking can cause death. Cigarette smoke inhaled by passive smoking is the main cause of lung cancer in people who are not smokers. The risk of lung cancer increases by 20-30% in non-smokers but always surrounded by cigarette smoke, compared to non-smokers who are not exposed to smoke. This study aims to develop a smart device to filter cigarette smoke so that the air released from this device is free from the dangers of cigarette smoke. The materials used in this device as a cigarette smoke filter are activated charcoal and aloe vera, the pores of the charcoal open and can become adsorbents. This device uses fuzzy logic as a control method that can provide decisions that resemble human decisions. Arduino is used to adjust the fan rotation in absorb cigarette smoke and the LCD to display the level of cigarette smoke.
Utilization of Used Electric Vehicle Batteries for The Design of Mini-Generating Systems
Authors: Khairunnisa  , Arifidin Muhammad Afif Amalul , Hartoyo  
Published: December 2021

Abstract
One of the main objectives of this research is to reduce battery waste from electric vehicles, namely by processing the battery waste to be used as electrical energy storage which is then used in mini generators. Therefore, it is necessary to have methods and stages to do it all. The method used with BMS (Battery Management System) with the Battery Cell Balancing model. It aims to determine the classification of the total battery capacity and battery life time, and determine which batteries can still be reused. The results of the balancing of the battery cells will be used as recommendations and are more economical in power generation storage systems and also provide practical solutions in the management of used electric vehicle battery waste to prevent pollution of active ingredients in battery cells, and also become an alternative for energy storage choices. for reuse. This research can be considered in the future for the electric vehicle industry to be able to reuse used batteries from electric vehicles, as well as the design design of the use of used batteries for mini generation systems.
The Effect of Inclination Angle of The Solar Panel on The Resulting Output Voltage
Authors: Wardhana A S J , Damarwan E S , Hakim ML 
Published: December 2021

Abstract
Renewable energy is alternative energy for the future. One renewable energy that is easy to develop is solar power generation. In this study, we will discuss the effect of the tilt angle on the solar panel and the value of the intensity of sunlight on the resulting output voltage. The data collection process was carried out at the Mechanical and Electrical Power System Laboratory, Faculty of Engineering, Universitas Negeri Yogyakarta. The data collection stage was carried out at an angle of 0°, 30°, and 60°. The results showed that the smaller the value of the intensity of sunlight, the smaller the output voltage produced. The tilt angle of the solar panel at 30° has a maximum output voltage more significant than the angle of 60° and 0°.
Smart Infusion and Web Based Monitoring Infusion Fluids in Isolation Room Based on Fuzzy Logic
Authors: Yamin M , Habir S A , Nur Alam W O S , Surimi L 
Published: December 2021

Abstract
High-tech improvements with reference for health advance to develop numerous medical tools have been build to support doctors and nurses performances. This analysis research applied web-based system of infusion monitoring and microprosessor or microcontroller to grease performances of nursers and pharmaceutical helping in clinics or public health centers of the district. In this research, smart infusion web-based is builded for providing for the infusions by applying Node MCU and ESP 8266 Wi-Fi module. Smart Infusion aimed at helping nursers and medical helpers handling infusions of contagious complaint cases or Covid-19 cases to provide for infusion situation in isolation room or emergency room at hospital also public health centers at the district. Detecting the infusion weight, volume and percentage by applying a digital scale and the Load Cell sensors. This monitoring tools or devices is created to count the display from LCD and infusion weight the volumes and percentage of infusion with 3 colors alert display on the Website such as red color, yellow color, and green color depend on a web developed by php language, C programming with Arduino by C language embedded in microprocessor or microcontroller and based on fuzzy logic. Testing results have been achieved, monitoring device can work efficiently and completely when calculating weight, percentage, and volume. Scanning data of success accuracy of Load Cell sensors is 98,00%.
A Day-Ahead Scheduling Model of Electricity-Gas Integrated System with Power-to-Gas
Authors: Ruan Jiacheng , Cao Yongji 
Published: December 2021

Abstract
In recent years, with the increasing of gas-fired power plants and the development of power-to-gas (P2G) technology, and the interdependence between the power system and the natural gas system has gradually deepened. This paper proposes a day-ahead optimal scheduling model for an electricity-gas integrated system. Based on P2G, it can realize the two-way movement of energy between the power system and the natural gas system, promote the coordinated and optimized operation of the two energy systems, and improve energy utilization. The model proposed in this paper minimizes the total cost of both systems. Firstly, the power system sub-model and the natural gas system sub-model in the collaborative optimization model are studied separately, and the constraints between the two systems are considered. Then, the piecewise linearization method and DC power flow simplification method are adopted, the nonlinear problem is transformed into a mixed integer linear programming problem. Finally, the load forecast value of the day-ahead dispatch is loaded, and the 24-hour dispatch result is obtained through the simulation platform, and the P2G is used for joint dispatch.
An iterative identification algorithm and its convergence analysis of closed-loop power system based on ambient signals
Authors: Du Weijie , Yu Miao , Li Jinglin , Zhang Shouzhi , Hu Jingxuan 
Published: December 2021

Abstract
Identification and control are important problems of closed-loop power system. At present, most studies are separate identification methods. This paper studies an online and real-time integrated identification method, which can solve the problems of model set and controller design of closed-loop power system. This paper investigates a new iterative identification algorithm and its convergence problem of closed-loop power system based on ambient signals. Firstly, the whole algorithm procedure is given. This algorithm uses the iterative process under the closed-loop condition, which combines system model identification with controller design. Then the complementary of model identification and control design has been realized. Secondly, because of the dynamic performance of the iterative identification algorithm, it has characteristics described from the perspective of a partitioned dynamic system. Regard each iterative identification step as a state node. In this situation, the algorithm guarantees all the state nodes converge to the Lyapunov stable equilibrium. Finally, the simulation results show the correctness and effectiveness of the proposed method through the simulation of a power system with four-machine-two-region.
Wireless charging system load characteristic analysis and optimal load condition of of autonomous Underwater robot
Authors: Li Chong , Chen Bin , Wei Laifu , Yuan Hong , Liu Haibo 
Published: December 2021

Abstract
Autonomous underwater robots mainly obtains energy supplement through Wireless Power Transmission (WPT). Magnetic coupled resonant wireless charging is achieved through magnetic field coupling, with no direct connection on electricity, and can achieve intelligent control, autonomous charging, flexible and safe, frictionless wear. Based on the underwater robot wireless charging system, this paper proposes a high efficiency energy conversion technology for receiving end of wireless charging system. Though analysis of load change to effect the transfer characteristic of wireless charging system and wireless charging system optimal load conditions, this paper lays the foundation of the optimal load for subsequent research real-time tracking control, ensures the reliability of the charging system of underwater robot and improves the efficiency of wireless charging system.
Research on Classification of Daily Load Curve of Distribution Network Based on Improved SSA-FCM
Authors: Shi Haoran , Cao Rong , Hao Wenbo , Xu Mingyu , Hu Heng , Jiang Peng , Zhou Feng 
Published: December 2021

Abstract
In the analysis of three-phase unbalance in distribution network, the accuracy of daily load curve classification results determines the size of three-phase unbalance. Aiming at the shortcomings of Fuzzy C-Means (FCM), a fuzzy C-Means clustering algorithm (SSA-FCM) optimized based on Sparrow Search Algorithm (SSA) is proposed. The cluster validity evaluation index is introduced to get the optimal quantity of clusters, and the SSA is used to search for the initial cluster center, which solves the problem that the FCM algorithm relies on the initial value and is easy to converge to local optimal solution. The simulation results show that, compared with the FCM algorithm, the load curves classified into the same category by SSA-FCM are closer together.