bluuebunny/crossref_metadata_2025_split huggingface dataset:
Monitoring System of Heart Rate, Temperature and Infusion in Patients Based on Microcontroller (Arduino Uno)
Authors: Devis Yesica , Irawan Yuda , Junadhi  , Zoromi Fransiskus , Herianto  , Amartha Mohd Rinaldi 
Published: March 2021

Abstract
A patient who is hospitalized generally gets health monitoring including 3 parameters including heart rate, body temperature and level of intravenous fluid usage. These three parameters are used as an indication of the patient’s significant health development. Body temperature is needed because in addition to being an indicator of a person’s health, it also has little to do with heart performance, namely the more the body temperature moves away from normal body conditions, then it affects how fast or slow the heart pumps blood. throughout the body. To solve this problem, the researchers intend to create a three-parameter monitoring system, namely heart rate, body temperature and intravenous drips for patients. This monitoring system is also designed to provide a sound warning indicator in case of abnormal conditions in the monitored parameters. From the test results, it can be concluded that the device can display indicators of patient health development with 3 parameters, namely heart rate, body temperature and the level of infusion usage.
Synthesis of Sodium Silicate from Rice Husk Ash as an Activator to Produce Epoxy-Geopolymer Cement
Authors: Handayani L , Aprilia S , Abdullah  , Rahmawati C , Bakri A M Mustafa Al , Aziz I H , Azimi E A 
Published: March 2021

Abstract
Rice husk ash (RHA), a byproduct of the rice industry, is the primary source of amorphous silica for producing sodium silicate solutions to replace standard commercial sodium silicate in geopolymer mixture design. The effect of various concentrations of NaOH used as an activator to produce epoxy-geopolymer cement was studied. Three initial concentrations of NaOH were used (8, 10, and 12M) to examine the optimum dissolution and formation of silica oligomers that can function as the activator during the geopolymerization. The result indicated the increase of NaOH concentration raises the silica yield strength. The silica yield found was 65.84%, 70.53% and 72.06% on NaOH use of 8, 10, 12 M, respectively. IR-spectra results showed silica functional groups and the sodium silicate were successfully synthesized. The IR spectra indicated the appearance of hydroxyl bonds, which strengthen the geopolymer matrix. SEM results showed the C-S-H and N-A-S-H bonds in the geopolymer. With 10M NaOH, the compressive strength of the geopolymer cement paste was optimal at 27.53 MPa. Thus, Rice husk ash (RHA) is feasible to be used as an activator in high calcium fly ash-based epoxy geopolymer cement.
Design Indoor FM Communication Based on SDR and GNU Radio Using Validated Spectrum Analyzer
Authors: Harianto B B , Rifai M , Irfansyah A , Suprapto Y 
Published: March 2021

Abstract
The number of software in the telecommunications world allows us to make an FM simulation, one of the software is GNU Radio. This paper will explain FM communication simulations that use a guide between GNU Radio and RTL-SDR and are validated using a spectrum analyzer. The simulation is carried out twice, the first simulation tests the SDR transmit which will be tested in the simulation to be carried out in the GNU Radio worksheet. The second simulation tests an SDR receiver that uses a frequency of 100.3 MHz. Validation is done at a distance of ± 1 meter using a spectrum analyzer connected to the antenna and will receive frequencies of 60,65,70,75 and 80 MHz which will be compared with GNU Radio readings. The parameters to be used are signal to noise ratio (SNR) and beam power. From the results of the first simulation study using GNU Radio worksheets obtained the value of the emission power of -12.4 dBm and the second simulation obtained a value of -12.87. While the validation results show that the value obtained is the accuracy of 99.5% on the measurement of the transmitter’s power value while the signal to noise ratio of 99.78%.
The application of social attribute on Sustainable Affordable Housing (SAH): Klang Valley Area, Malaysia context
Authors: Alias N H , Basrah N , Majid R A , Rahim N A 
Published: March 2021

Abstract
Affordable housing has become government initiative in ensuring that all Malaysians are able to own their own homes. Hence, the availability of affordable houses in meeting the needs of the population is the main agenda in ensuring sustainability in affordable housing unit. In this regard, the social attributes representing one of the sustainable dimension are being investigated to see how far this housing development category is capable of meeting the needs of the local population. A total of 24 social attributes were reviewed on residential properties. The data were collected through a questionnaire survey distributed among 400 medium income earner respondents. Three of the respondent’s profile (job status, age and monthly income) were selected to be analyzed on the social aspects studied after presenting a strong significant relationship with affordable housing knowledge. Through the chi square test, the results show that 21 social attributes are very significant on affordable housing and should be fully applied in sustainable affordable housing development.
A Methodological Framework for Operationalization of Flood Risk Management
Authors: Herath HMM , Wijesekera NTS 
Published: March 2021

Abstract
Flood risk management has undergone significant transformations during the recent past. Climate change is very likely to bring a higher probability of extrememe weather events. Climate change is a significant challenge for urban growth in costal delta cities. Transformation of floodplains for urban development is a vital component of flood exposure, and changes in this component can lead to variations in flood risk. Socio ecological system conceptualizations suggests that resilience is the key to managing complex systems and to reduce vulnerability which is a result from the inherent uncertainty of flood risk. Theoretical understanding of flood risk management has advanced over the years but it is still seen that there are shortcomings in the operationalization concepts and methods. One of the main reason is lack of a common framework for clear recognition and understanding of the components of flood risk management for all stakeholders. Therefore, this research has questioned the current status of flood risk management and provide recommendations for operationalization. The Analytic Hierarchy Process (AHP) is a multi-criteria analysis technique that can be applied for structuring of complex decision-making problems involving multiple stakeholders, and scenarios. Therefore, this paper has developed a solution model for structuring the complexity of flood risk management and increase the certainty of the objectives of stakeholders. Result of the study has highlighted the main criteria and the sub criteria to structure the complexity of the planning process for operationalization of flood risk management.
Database and Application Migration in the Financial Services Industry Sector in the Acquisition Environment and Environmental Science
Authors: Trisnawaty N W , Hidayanto A N , Ruldeviyani Y 
Published: March 2021

Abstract
Financial Services Industry (FSI) is a sector with day-to-day business transaction operation dealing with numbers of classified information owned by its customers. It can be managed by the private sector or other institutions pointed by the government, either it is a bank or an insurance company. Aiming to improve services, acquisitions between companies can occur. There will be a migration of applications and databases in the acquisition process. This process will present certain constraints and challenges and prone to data fraud. Improper handling will also have a negative impact on the environment, especially e-waste generation of IT components from financial sector due to company’s acquisition case. So, study on database and application migration is important to be conducted. This research aims to identify constraints and challenge factors behind application and database migration in the FSI during a company acquisition. It uses a descriptive qualitative method with a case study approach that examines as much data as possible regarding the subject under study. The case studies use a single-case method, considering that the cases studied are unique and essential. The migration methodology used in this study combines application migration and databases from previous research journals and is added to the processes that occur in the field. Two factors become obstacles and challenges in the migration process, namely technology and non-technological factors. Database migration strategy uses a big-bang strategy based on joint decisions between the business and IT teams. The organizational challenge is the approval process for the transfer of membership management and data conditions that require validation and confirmation before migration. This research suggests using a mature migration strategy to anticipate technical and organizational constraints applying clear and scheduled policies and regulations.
Study of extra virgin olive oil as liquid insulation in transformer
Authors: Romadhona G , Wibowo K M , Royan R 
Published: March 2021

Abstract
Mineral oil, which is the basis of petroleum, has long been used as an insulating and cooling medium for transformers. In fact the petroleum has a limited supply, over time it will run out, cannot be renewed, even petroleum is poisonous, cannot be decomposed. In this study, researchers used vegetable oil that is renewable, biodegradable, and safe for living things and the environment, namely olive oil with good quality, from the first pressed of olives, which is called extra virgin olive oil to be applied to transformers as an insulating and cooling medium. To determine the feasibility of using extra virgin olive oil as transformer oil, the test is to determine the value of the breakdown voltage. Breakdown voltage is the voltage value when the transformer components become connected because oil cannot perform its function as insulation. Tests carried out according to international standards IEC 156, 296 and SPLN 49-1. The breakdown voltage value at room temperature (28 °C) is 46.73 kV, at a temperature of 50 °C where the transformer operates is 48.31 kV. At a temperature of 50 °C the breakdown voltage value is higher due to heating which causes water content, air bubbles, and voids to be reduced.
Mechanical properties of porous asphalt with gilsonite additive
Authors: Rochaeti R , Endawati J , Oktaviani T 
Published: March 2021

Abstract
The porous asphalt mixture is an asphalt mixture that consist of high void and a small proportion of fine aggregate. The presence of a high void reduces the value of marshall stability. Many attempts to increase the value of marshall stability by adding substances into the porous asphalt mixture has been done by several researchers. Modified porous asphalt can be achieved by adding gilsonite to the mixture which aims to accomplish the main function of the porous asphalt layer as well as to improve the quality of mixed performance. The method used in this study is an experimental method. The test that conducted in this study using two types of gradations that are Japan and Australia gradation. The research was Marshall characteristic test with 2.5%, 3.5%, 4.5%, 5.5%, 6.5% of gilsonite content and 0% as the control. The results showed that porous asphalt mixture using gilsonite proved to increase the value of Marshall stability compared to non-modified porous asphalt mixture by 24%. The mixture reaches a maximum state at 5.5% gilsonite content. The best performance is produced by the mixture using Japanese gradation.
Design and development of student attendance information system using QR code in accounting department of Politeknik Negeri Semarang
Authors: Sarana S , Sadida A , Mansyur A W , Suwondo A 
Published: March 2021

Abstract
This study aims to streamline the lecture attendance system and overcome indications of cheating on student absences in the lecture process in class. Manual attendance list causes lost time of lectures and waste of paper, and therefore the need for an attendance system to reduce these problems. Higher education with all its strategic activities cannot be separated from the importance of using information technology. One of the important activities routinely carried out by a tertiary institution is to record Academic Administration activities (teaching and learning process), this routine activity involves many interests both from the lecturers, administration and from the learning facilities and infrastructure they have. This activity must be made an information system in order to facilitate all parties and produce information that is fast and valid. One such information is student information about absence which can be caused by permission, illness or even negligence. This activity is carried out every day so that if and error occurs or negligence will harm all parties involved in the teaching and learning process therein. This article discusses how to design and build an Academic recording information system in the form of student attendance that can produce accurate and timely information available to meet the needs of students, Academic Administration and department managers so that the information system can be aligned with academic regulations and can be accepted by system users. The object used is the Semarang State Polytechnic Accounting Department. The method used is to use the Unified Model Language approach which consists of Use Case Diagrams, Class Diagrams, and Data Dictionaries. While the development model using waterfall, the stages include analysis of the existing system, concept design, physical design, implementation and testing. The output of the research is an Android-based student attendance information system application using QR Code which generates information for students, Academic Administration and department managers.
Sediments discharge analysis using tank model for disaster mitigation
Authors: Mulyono T , Jumi J , Azizah A 
Published: March 2021

Abstract
Environmental degradation as a result of deforestation carried out in the Catchment resulted in a decrease in its ability to store water. This has the effect of increasing the amount of sediment discharge. The process of estimating sediment discharges is very difficult because the data input variables are many and varied, usually, the data are very limited, because the erosion process occurs until the sediment discharge mechanism is quite complex. The process of sediment discharges in Catchment s is influenced by rain and surface runoff and is represented in the storage type. In this study, an approach using the Tank Model was conducted. The purpose of this study is to develop a tank model for sediment discharge analysis in disaster mitigation. The steps are setting the field experiment for collecting rain and discharge sediment data as the model input and setting the model analysis by making the structure and formulation of the tank model. There are 3 proposed tank models namely Tank Model 1 (three tanks, series, and cascade), Tank Model 2 (two cascade tanks), and Tank Model 3 (three cascade tanks). Model parameters are determined using the Genetic Algorithm (AG) method optimization approach. The analysis shows that Tank Model 3, composed of 3 (three) cascade tanks, represents a Catchment better than the other 2 tank models. This can be seen from the value of the accuracy of the model, namely the value of volume error (VE), the value of relative error (RE), the value of the mean least square error (RMSE), and the value of the correlation coefficient (R). But still has a range of differences for the value of sediment discharges, the cause may be a factor in the pattern of rain spread in the hydrological process, synchronization of the measurement process and data length, and the possible assumptions of the model parameters.
Euclidean distance digital image processing for jaundice detect
Authors: Rahayu E P , Widyawati M N , Suryono S 
Published: March 2021

Abstract
Jaundice is a serious health issue. Late treatment of jaundice cases in babies may result in neurodevelopmental disorder and irreversible brain damage. Diagnosis inaccuracy is usually caused by the fact that health professionals and health service providers often rely on visual observation instead of laboratory examination. Lack of expertise in detecting jaundice is a serious matter. This research proposes a method of web-based digital image processing as an alternative for early detection of jaundice based on babies’ complexion. Images of babies’ complexion and color calibration cards are taken to obtain images for online analysis. Determination of bilirubin levels is carried out using the method of Euclidean approximate distance of RGB values from babies’ complexion and those of color calibration cards. Results show correlation of Euclidean distance to bilirubin level of babies of 0.93596 and web-based digital image processing accuracy of 90%. These mean that the information system developed here is capable of detecting jaundice cases. This research was performed observationally in high-risk prenatal ward involving 30 infants as samples.
GPS-based fire detection system (Global Positioning System) and SMS Gateway
Authors: Aryanti A , Mekongga I , Dewi R S 
Published: March 2021

Abstract
This research aims to produce a GPS-based fire detection system (Global Positioning System) and SMS Gateway. The benefits of this detection system can detect early fire occurrence based on the detection of temperature conditions by accommodating the nature of the fire and able to detect any rise in temperature caused by the existence of the fire. This detection system must also be able to read any smoke produced by a fire. To realize the system, required sensors capable of reading the temperature and smoke. The Arduino Uno microcontroller is the brain control system of the system. At a temperature of> 35 C, the system will activate the DHT 11 and MQ 2 sensors that detect smoke> 50 ppm from fire. The system will activate Buzzer as a warning in the form of the next alarm sound Global Positioning System (GPS) will provide information in the form of coordinates of the location of the point of fire through GSM SIM900 Module Short Message Service (SMS) to the user. The results obtained mq2 = 128 ppm and temperature value = 38 ° C and GPS data with latitude of -3.04798388 and a longitude of 104.78263092. From the data it is seen that the mq2 value reaches> 50ppm and the temperature value reaches> 35 ° C, and the detector outputs buzzer sound and warning notification of coordinate point in the form of SMS containing the message “FIRE available” with the coordinates of the location of the fire detected by GPS.
Concrete mix design modelling based on variation of hidden layer and neuron of ANN for virtual learning development
Authors: Santosa S , Suroso S , Utomo M B , Martono M , Mawardi M , Santosa Y P 
Published: March 2021

Abstract
Artificial Neural Network (ANN) is a Machine Learning (ML) algorithm which learn by itself and organize its thinking to solve problems. Although the learning process involves many hidden layers (Deep Learning) this algorithm still has weaknesses when faced with a high noise data. Concrete mixture design data has a high enough noise caused by many unidentified / unmeasurable aspects. Information needs about the compressive strength of early age concrete (under 28 days) are often needed while the construction process is still ongoing. H2O’s Deep Learning type of ANN has been tried to predict the compressive strength of early age concrete, but the results are less than optimal. This study aims to improve the H2O’s-ANN prediction model using Bagging to reduce the influence of noise and overfitting. The lowest RMSE that are able to be achieved in this research with Bagging is 6.385 while it is 6,674 without Bagging. This result proves that Bagging is significant to reduce the Deep Learning error rate for predicting the compressive strength of early age concrete. Future work this model, as a new innovation in machine learning in civil engineering vocational education subject, can be used to various concrete mixture design and learning about concrete. Because this concrete mix design model is digital, it can be used for virtual learning. Currently the author is conducting research to create a virtual concrete mix design learning model.
Smart wind turbine three-layers flat blade with control system Arduino-based for blade angle
Authors: Sahid S , Suwarti S , Prasetyo B , Mulyono M 
Published: March 2021

Abstract
The objective of the design of a three-layers flat blade smart wind turbine with an Arduino blade angle configuration system is to study experimentally the performance of a wind turbine Three-layersflat blade horizontal guide with various wind speed variations, and apply automatically to blade blade speed average for weather. Tests are carried out to obtain the value of wind turbine power coefficient (Cp). Tests that use variations in wind and blade angle. Variations in wind speed are obtained by variations in refineries from wind turbines. The performance of Three-layersbflat blade wind turbines has the highest Power Coefficiency (Cp) values at certain blade angles on variations in wind speed at a wind speed of 5 m/sec with a blade angle of 15º at 57.84%; at a wind speed of 6 m/sec with a blade angle of 20º of 36.24%; at a wind speed of 7 m/sec with a 25º blade angle of 51.39%; at a wind speed of 8 m / sec with a blade angle of 30º of 39.37%; and at a wind speed of 9 m/s with a blade angle of 35º of 28.24%. After obtaining data about wind speed and angle with the highest Cp value, the wind speed that will be used as the input of the Arduino control system, and the output is a large blade blade that changes to adjust the wind speed.
Wind energy conversion system with capacity of 450 W in order to support teaching and learning process in the laboratory
Authors: Herlambang Y D , Mulud T H , Bono B , Suwarti S , Suwoto G 
Published: March 2021

Abstract
This study examines a 5-blade Horizontal Axis Wind Turbine to obtain the best performance at different wind speeds. The dimensions of this wind turbine have a rotor diameter of 1200 mm, blade length of 600 mm, number of blades 3 pieces, and blade material made of fiberglass. The research method uses different wind speed test parameters. The speed test using a blower is 4 m / s, 5.1 m / s, 6.5 m / s, and 7.5 m/s with the load of the lamp is 10 W, 20 W, 30 W, 40 W, 50 W, and 60 W. Subsequently analyze the characteristics of the wind turbine. The results of testing the wind turbine at a speed of 4 m/s obtained a maximum efficiency of 36.4% at 496.3 rpm turbine rotation. Power generator 15.8 W at a voltage of 20V and current 0.79 A.
Assessment of site-specific features to the unit cost of micro hydro power plant
Authors: I A V Marfori III , Culaba A B , Ubando A 
Published: March 2021

Abstract
Micro hydro power is a renewable source of energy and is commonly utilized for remote communities for electricity generation. The sustainability of a micro hydro system can be evaluated based on initial capital cost and the overall power output. The ratio of the capital cost and the overall power output is the unit-cost. In this paper, site specific characteristics specifically canal length and penstock slope are analysed to determine its effect in the unit-cost for micro hydro power plants. Calculations were conducted to quantify the total head loss that results from varying canal length and penstock slope. Capital cost is then evaluated using a disaggregated method based on literature. The results show that the canal length and penstock slope will give a significant effect on the micro hydro unit cost. Aside from the common micro hydro parameters of head and flowrate, the site-specific characteristic can also influence the sustainability of the system. It is therefore necessary to include the site-specific characteristics in the assessment of micro hydro systems.