bluuebunny/crossref_metadata_2025_split huggingface dataset:
Harmonic Reduction Using Shunt Active Filter for Electrical Installation
Authors: Jamal A , Putri S G , Chamim A N N , Syahputra R 
Published: March 2020

Abstract
This paper presents harmonic reduction using an active shunt filter for hospital building electrical installation. Generally, harmonic installation in electric power systems is caused by non-linear electrical loads, especially the ones containing coils, such as air conditioners, pump machines, fans, and others. It might cause excessive heat in a distribution transformer which supplies an electrical installation in a multi-story building. In this regard, the heat is a power loss and has the potential to shorten the life of a distribution transformer, and therefore, efforts are needed to reduce harmonics. The use of active filters is one of the most effective strategies for reducing harmonics. In this study, a shunt active filter application in the electrical installation of a hospital building was carried out. The results showed the filter reduced harmonic currents significantly, to the extent that the harmonic threshold was still under the IEEE standard.
Energy Balance: Performing Energy Usefulness in AISI 304 Welding
Authors: Riyanta Bambang , Wardana ING , Irawan Yudy Surya , Choiron Moch. Agus 
Published: March 2020

Abstract
Many researches on welding efficiencies have already been conducted, but very few of them take attention on energy usefulness in workpiece welding zone. Energy usefulness profile can be used as a reference in developing a thermodynamics model to predict post welding material properties and material behavior. The aim of this study is to obtain energy usefulness in AISI 304 welding. The study utilizes finding from previous researches to analyze and calculate the amount of energy received by a workpiece and the energy which distributed to fusion zone, high temperature heat affected zone, low temperature heat affected zone and unaffected base metal. Metal casting theory approach is required to identify useful work process in welding. AISI 304 post welding energy usefulness profiles are then performed in an energy balance diagram. The result of this study shows that energy usefulness decreases when the zone distance from the center of welding increase. The finding has a good agreement with entropy state function theory.
Impact of the solar energy system with and without reflector on home-scale batik industry
Authors: Mujaahid F , Febriyanto S , Syahputra R , Purwanto K 
Published: March 2020

Abstract
Harvesting energy from solar has been growing significantly in the past decades. It enlarges the utilization of solar system technology, such as a photovoltaic system. Not only in the large-scale application, but also in the home-scale application. Indonesia is known for traditional batik clothing. There is a lot of various batik from different cities in Indonesia, and Yogyakarta is a city that offers authentic batik clothing. This paper reports the utilization of photovoltaic system in home-scale batik industry in Yogyakarta. The objective is to investigate the system whether there will be an extra power generated from the photovoltaic if a reflector is applied to the panel. There are two kinds of reflectors used in this experiment, they are mirror glass and aluminum foil. The experiment was conducted in the daytime where the amount of solar radiation is in the same intensity among three conditions; a system without reflector, with mirror glass reflector, and aluminum foil reflector. The result shows that in average, the system with mirror reflector has produced 15% higher output power compared to the system without the reflector, or 15.77 Watt higher to be precise.
Development of Maximum Power Point Tracking Solar Charge Controller for 120 Volt Battery System at Pandansimo Hybrid Power Plant
Authors: Megantoro Prisma , Prabowo Irawan Eko , Shomad Muhammad Abdus 
Published: March 2020

Abstract
Pandansimo Hybrid Power Plant (HPW) is located at Pandansimo Beach, Bantul, Yogyakarta. It has a maximum capacity of 57.5 kW, combining solar and wind energy technologies. Currently a part of it (4 kWp solar panel system) is used for ice maker machine with an efficiency merely of 60% in average. To increase efficiency of system and safety of battery charging, a special Maximum Power Point Tracking (MPPT) Solar Charge Controller is developed. This system is developed to optimize power transfer from solar panel array to battery, which is shown as solar panel characteristic in a I-V curve. The purpose of this research is to develop the MPPT Solar Charge Controller with PID algorithm for 120 volt battery system and 4 kWp solar panel. The Solar Charge Controller (SCC) design uses microcontroller system that is easy to repair and improve. The SCC component can be found easily in local electronic components stores around Yogyakarta. The SCC design involves several main parameter: PWM switching frequency 50 kHz, mosfet IRFP260 power switching device, 120 Volt battery, rated current charge of 40 ampere, and three state battery charge sequential. The result of this research are the MPPT SCC with average efficiency of more than 90%, real charge current of 30 Ampere, and PV voltage optimum of 165 Volt.
Image Processing for Corrosion Quantification in Concrete Slabs using GPR data
Authors: Zaki A , Jusman Y , Johari M A M , Hussin W M A W 
Published: March 2020

Abstract
This study aims to quantify the corrosion of steel reinforcing bar (rebar) in concrete structures using ground penetrating radar (GPR) and image processing techniques. A method to accelerate corrosion of steel rebars in concrete slab to different level of corrosion is applied. The power supply and the electrolyte are used to induce significant corrosion within a short period of time. The 2 GHz GPR is used to assess the corrosion in the reinforced concrete slab after 28 days of standard moist preservation. GPR method has been found to be useful for quantifying steel corrosion on existing concrete slab. The image processing techniques were used to process the GPR data. The results of the analysis of the GPR data shows that corrosion of the rebars could be detected. The subsequent image processing technique exhibits that corrosion of the rebars could be appropriate quantified.
Teaching Speaking Through Techno Driven Task (Zig Zag Task)
Authors: Rahayu Pipit , Ramadhan Syahrul , Agustina  , Siregar Syamsiah Depalina , Jufrizal  , Rozimela Yenni , Indriyani Vivi , Zaim M. , Atmazaki  
Published: March 2020

Abstract
English lecturers play a vital role in making their students to communicate well in English. They should be able with new and innovative teaching skill and strategis in the classroom to enhance students skill significantly. This research is motivated by the importance of having good English speaking skills, especially for English teachers. The traditional learning methods has been less successful in improving students’ speaking skill. Therefore, one of the solutions offered is to use the Techno Driven Task (Zig Zag Task) in teaching speaking skill for students. This study aims to determine the speaking skills of English students at Pasir Pengaraian University by using computer-aided Techno Driven Task (Zig Zag Task). The research designs is descriptive quantitative research. The participants of this research was the fourth semester students of English Study Program in University of Pasir Pengaraian. The number of samples of this research was 19 students. In collecting the data, the researcher took from students’ presentation when they were using zig zag task. The results showed that the level of students’ speaking skills was at a reasonable to very good level and only a few students had poor skills.
Analyzing Internet Use Of Students in Learning English Through Their Learning Approach at IAIN Bukittinggi
Authors: Roza Veni , Yenti Riza Fitri 
Published: March 2020

Abstract
The research was due to several problems found in the field; Most of students used internet in learning English and doing tasks. However, some of them were not able to explain their task results. They did not comprehend the material of the lesson eventhough they used internet. For some others, internet was worthwhile for them. Based on that, the researchers assumed that the students had varieties way in using internet. This research belongs to quantitative research by survey. The population was the all of English students which study actively in the classroom at IAIN Bukittinggi in academic year 2019/2020. There are three different grades of semester; semester 1, 3 and 5. To choose sample, the researcher used purposive sampling. The purpose of the researcher is to choose sample which use internetmostly. The finding reveals that 70.6% of the students use deep approach while using internet that consists of 25.4% in seeking meaning, 15.9% inrelating ideas, 19.8 % in using evidence and 9.5 % interested in ideas. There are 29.4 % of the students use surface approach, that consist of 3.9% in lacking of purpose, 7.9 % in unrelated memory, 12% in syllabus boundness, and 5.6% in fear failure. In conclusion, the students prefer using deep approach to surface approach.
Designing Mathematics Learning Models Based on Realistic Mathematics Education and Literacy
Authors: Rusdi  , Fauzan Ahmad , Arnawa I Made , Lufri  
Published: March 2020

Abstract
This research was formed the backround of the low mathematics literacy of junior high school students in Bukittinggi. The purpose of this research is to develop valid, practical and effective mathematics learning model based on Realistic Mathematics Education and Literacy to improve students’ mathematical literacy. This type of research was Plomp model design research which consisted of three stages, namely preliminary research phase, prototype or development phase, and assessment phase. However, this reserch is still at designing prototypes in development phase. Based on preliminary research results were obtained, 1) one of the factors that causes the low level of student mathematics literacy is students not trained in working on higher order thinking skill questions; 2) the teachers needed the learning models that could improve students’ mathematical literacy; 3) the students wanted contextual learning; 4) the curriculum used was the 2013 curriculum, content of mathematics in 8th grade junior high school students semester I consist of Numbers, Algebra, Geometry and Measurement; 5) The main concepts in the subject matter system of linear two-variable equations were, general form, solving and application; 6) students have characteristics between 14 and 17 years old, learning styles were evenly distributed on audio, visual and kinesthetic types, most students like traditional food; and all students like the colors. Based on the results of the preliminary research phase, need to be developed learning models based on Realistic Mathematics Education and Literacy. The results of designing prototype in the development phase were the components of the learning model consisting of learning syntax, social system, the principles of reaction, support systems, and instructional effect and nurturant effect.
Understanding Students’ Transition from Arithmetic to Algebraic Thinking in the Pre-Algebraic Lesson
Authors: Apsari R A , Sariyasa S , Putri R I P , Gunawan G , Prayitno S 
Published: March 2020

Abstract
The difficulty in learning algebra is mostly blamed to the discrepancy between arithmetic lesson in elementary school and algebra lesson in middle school. Hence, a bridge is needed to connect those two core subjects thorough a pre-algebraic lesson. This study is aimed to generate an understanding of how the students’ shift from arithmetic to algebraic thinking during pre-algebraic lesson. It is a part of a larger study in design research to establish a learning trajectory in pre-algebraic lesson by using pattern investigation. The data were gathered from written works, video registrations and field notes in 32 fifth grade students’ of an elementary school in Palembang. The data were analyzed qualitatively using constant comparative method. The result showed that the students’ shifting from arithmetic to algebraic thinking is highly impacted by their clarity in seeing geometrical structure of a pattern. Hence, it is recommended for the teachers to conduct a pre-algebraic lessons using pattern investigations visualized in geometrical representation for the elementary school students
Mosaiq and IviewGT Software in Verification of Irradiation Set Up (Study of Conformal Radiotherapy in Nasopharyngeal Cancer Patients at Dr. Sardjito Hospital Yogyakarta)
Authors: Masrochah Siti , Indrati Rini , Setiawan Agung Nugroho , Listyawan Syahara 
Published: March 2020

AbstractVerification of the irradiation set up is a process to ensure that the position and volume of the irradiated tumor are the same as planned. It is conducted by comparing the radiographic image information of the Treatment Planning System (TPS) with radiation therapy to be provided on the Electronic Portal Imaging Device (EPID). Existing software s on the EPID modality device in this hospital are Mosaiq and IViewGT. This study was to describe the details of the verification process and the differences between two software s in conformal radiotherapy of nasopharyngeal cancer patients. This study was a quantitative analytic study. Samples were fifty-two portal images. Data was analyzed by statistical software. The results are descriptions of the verification process, and the value of shift set up irradiation on X; Y and Z axis. There is no difference statistically between two software s. Mosaiq software is more complicated in image processing. IViewGT software has an advantage in its better simplicity but shows the same quality.
Statistical Approach of Knowledge Management for Improvement of Hospitalized Management
Authors: Arini M. , Muhammad A.F. , Listiowati E. 
Published: March 2020

Abstract
Elderly quality of life (QoL) is affected by the decline in health status, and vice versa. The purpose of this study was to find out whether there were differences between before and after the provision of Islamic spiritual care services (ISC) to elderly patients. This study was a quasi-experimental research design with pre-test & post-test assessments. A sample of 106 elderly patients at PKU Muhammadiyah Gamping Hospital Yogyakarta with an age range of 60-70 years was consecutively selected by inclusion criteria. The QoL was measured using the validated Indonesian version of OPQOL-Brief questionnaire. Data were analyzed using the Wilcoxon test because of the abnormality distribution. There was an increase of the means of QoL after the ISC provision by the p-value=0.000. It is concluded from this study that elderly’s QoL had significant differences between before and after the ISCS provision. The results of the study indicate that ISC is potential to be developed in order to improve the QoL of elderly patients.
The Impact of Climate Change on Pampus Argenteus Fish Production in Depok Village, Indonesia
Authors: Sabihaini  , Pratomo Awang Hendrianto , Rustamaji Heru Cahya , Sudaryatie  
Published: March 2020

Abstract
The Depok Village, Indonesia, has a potential of marines and fish resources up to reach 11, 374.1 tons in 2015 to 2017. However, there is a strong evidence that the climate change (i.e. sea temperature, rain fall and humidity) has affected the distribution of fish production and has implications for the marine sector of capture fishery production. This study is to investigate the relationships between the climate changes and fish production in Depok village. Data on the climate change and the annual yield of fish’s production during the period 2016 to 2017 were analysed. The result shows that there was a significant correlation between the climate change and annual fish yield or catch with r = 0.64 and p=0.013. The study also reveals a decreasing production from 4028 kg in 2016 to 3600 kg in 2017 of fish caught in just over one year period. This study contributes recommendations for Government agencies by providing data and information related to temperature and climate changes for fishermen. In brief, government agencies need to develop information systems for monitoring the alarming sea conditions.
The emerging science of electrosynbionics
Authors: Dunn Katherine E 
Published: March 2020

Abstract
Dramatic changes in electricity generation, use and storage are needed to keep pace with increasing demand while reducing carbon dioxide emissions. There is great potential for application of bioengineering in this area. We have the tools to re-engineer biological molecules and systems, and a significant amount of research and development is being carried out on technologies such as biophotovoltaics, biocapacitors, biofuel cells and biobatteries. However, there does not seem to be a satisfactory overarching term to describe this area, and I propose a new word—‘electrosynbionics’. This is to be defined as: the creation of engineered devices that use components derived from or inspired by biology to perform a useful electrical function. Here, the phrase ‘electrical function’ is taken to mean the generation, use and storage of electricity, where the primary charge carriers may be either electrons or ions. ‘Electrosynbionics’ is distinct from ‘bioelectronics’, which normally relates to applications in sensing, computing or electroceuticals. Electrosynbionic devices have the potential to solve challenges in electricity generation, use and storage by exploiting or mimicking some of the desirable attributes of biological systems, including high efficiency, benign operating conditions and intricate molecular structures.
The health burden of fall, winter and spring extreme heat events in Southern California and contribution of Santa Ana Winds
Authors: Schwarz Lara , Malig Brian , Guzman-Morales Janin , Guirguis Kristen , Ilango Sindana D , Sheridan Paige , Gershunov Alexander , Basu Rupa , Benmarhnia Tarik 
Published: March 2020

Abstract

Background: Extreme heat is associated with increased morbidity but most studies examine this relationship in warm seasons. In Southern California, Santa Ana winds (SAWs) are associated with high temperatures during the fall, winter and spring, especially in the coastal region. Objectives: Our aim was to examine the relationship between hospitalizations and extreme heat events in the fall, winter and spring, and explore the potential interaction with SAWs. Methods: Hospitalizations from 1999–2012 were obtained from the Office of Statewide Health Planning and Development Patient Discharge Data. A time-stratified case crossover design was employed to investigate the association between off-season heat and hospitalizations for various diagnoses. We examined the additive interaction of SAWs and extreme heat events on hospitalizations. Results: Over 1.5 million hospitalizations occurred in the Southern California coastal region during non-summer seasons. The 99th percentile-based thresholds that we used to define extreme heat events varied from a maximum temperature of 22.8 °C to 35.1 °C. In the fall and spring, risk of hospitalization increased for dehydration (OR: 1.23, 95% CI: 1.04, 1.45 and OR: 1.47 95% CI: 1.25, 1.71, respectively) and acute renal failure (OR: 1.35, 95% CI: 1.15, 1.58 and OR: 1.39, 95% CI: 1.19, 1.63, respectively) during 1-day extreme heat events. We also found an association between 1-day extreme heat events and hospitalization for ischemic stroke, with the highest risk observed in December. The results indicate that SAWs correspond to extreme heat events, particularly in the winter. Finally, we found no additive interaction with SAWs. Discussion: Results suggest that relatively high temperatures in non-summer months are associated with health burdens for several hospitalization outcomes. Heat action plans should consider decreasing the health burden of extreme heat events year-round.
Exploring sources of uncertainty in premature mortality estimates from fine particulate matter: the case of China
Authors: Giani Paolo , Anav Alessandro , De Marco Alessandra , Feng Zhaozhong , Crippa Paola 
Published: March 2020

Abstract
Atmospheric pollution from fine particulate matter (PM2.5) is one of the major concerns in China because of its widespread and harmful impacts on human health. In recent years, multiple studies have sought to estimate the premature mortality burden from exposure to PM2.5 to inform policy decisions. However, different modeling choices have led to a wide array of results, with significant discrepancies both in the total mortality burden and in the confidence intervals. Here, we present a new comprehensive assessment of PM2.5-related mortality for China, which includes quantification of the main sources of variability, as well as of age and province-specific premature mortality trends during 2015–2018. Our approach integrates PM2.5 observations from more than 1600 monitoring stations with the output of a high-resolution (8 km) regional simulation, to accurately estimate PM2.5 fields along with their uncertainty, which is generally neglected. We discuss the sensitivity of mortality estimates to the choice of the exposure-response functions (ERFs), by comparing the widely used integrated exposure response functions (IERs) to the recently developed Global Exposure Mortality Models (GEMMs). By propagating the uncertainty in baseline mortalities, PM2.5 and ERFs under a Monte Carlo framework, we show that the 95% confidence intervals of mortality estimates are considerably wider than previously reported. We thus highlight the need for more epidemiological studies to constrain ERFs and we argue that uncertainty related to PM2.5 estimate should be also incorporated in health impact assessment studies. Although the overall mortality burden remains vast in China (∼1.6 million premature deaths, according to GEMMs), our results suggest that 200 000 premature deaths were avoided and 195 billion US dollars were saved in 2018 compared to 2015, bolstering the mounting evidence about the effectiveness of China’s air quality policies.
EM Modelling Considerations for mm-Wave On-Chip Antennas
Authors: Sagouo Minko Flavien , Stander Tinus 
Published: March 2020

Abstract
We investigate the inaccuracy of resonant frequency (f0
) estimation incurred by some common simplifications in electromagnetic (EM) simulation of mm-wave on-chip antennas. Using an 88 GHz patch antenna as a device under test (DUT), it is found that using a 2.5D planar EM solver produced highly inaccurate results. Including the bulk silicon and thin nitride in the model stack effected an improvement of 0.8% in estimating f0
, while replacing individually modelled via arrays with equivalent blocks, and accounting for the etch factor, marginally improved both the estimation of f0
and reflection coefficient |S11|. It is shown that, with the correct modelling choices, the error in f0
can be reduced to below 50 MHz at E-band, which is within the measurement variation of 880 MHz.