bluuebunny/crossref_metadata_2025 huggingface dataset:
Bias-field-free spin Hall nano-oscillators with an out-of-plane precession mode
Authors: Shirokura Takanori , Hai Pham Nam
Published: March 2020

Spin Hall nano-oscillators (SHNOs) are promising candidates for new microwave oscillators with high durability due to a small driving current. However, conventional SHNOs with an in-plane precession mode require a bias field for stable oscillations, which is not favored in certain applications such as neuromorphic computing. Here, we propose and theoretically analyze a bias-field-free SHNO with an in-plane hard axis and an out-of-plane precession mode by solving the Landau–Lifshitz–Gilbert equation analytically and numerically. We derive formulas for driving currents and precession frequency and show that they are in good agreement with numerical simulation results. We show that our proposed SHNOs can be driven by much smaller bias current than conventional spin torque nano-oscillators.
Fabrication of Fe-based metal glass microelectrodes by a vertical liquid membrane electrochemical etching method
Authors: Wu Xiujuan , Sang Yumeng , Yang Tao , Zeng Yongbin
Published: March 2020

The excellent physical and chemical properties of metallic glasses and the absence of crystal defects make them ideal materials for the preparation of microelectrodes. A vertical liquid membrane electrochemical etching method is proposed here for the fabrication of microelectrodes from the Fe-based metallic glass Fe77.5B15Si7.5. With this method, insoluble electrolysis products are kept away from the processing area, and the nonuniformity of the diffusion layer that occurs in traditional transverse liquid membrane electrochemical etching is reduced. Simulations of the potential distribution and the current density distribution are carried out in COMSOL software, and the simulation results are verified by experiments. The passivation characteristics of the Fe77.5B15Si7.5 metallic glass in H2SO4 and H3PO4 electrolytes are studied. The effects of processing voltage on electrode morphology and surface quality are studied experimentally. Micropins with good tip size can be prepared in the active dissolution stage in 0.1M H2SO4 solution, and high-aspect-ratio cylindrical microtool electrodes with high surface quality can be fabricated in the transpassivation stage in 80% H3PO4 electrolyte with high machining stability.
Shock experiments reveal the behavior of polymers transitioning into their reactants
Authors: Bandari Anashe
Published: March 2020

A two-wave structure is observed, indicating a simultaneous mixture of reactants and products when polysulfone is shocked to pressures within its reactants-to-products transition region.
Differentiating between average and high-performing public healthcare managers: implications for public sector talent management
Authors: Leggat Sandra G. , Liang Zhanming , Howard Peter F.
Published: March 2020

ObjectiveEnsuring sufficient qualified and experienced managers is difficult for public sector healthcare organisations in Australia, with a limited labour market and competition with the private sector for talented staff. Although both competency-based management and talent management have received empirical support in association with individual and organisational performance, there have been few studies exploring these concepts in the public healthcare sector. This study addresses this gap by exploring the perceived differences in demonstration of core competencies between average and higher-performing managers in public sector healthcare organisations. MethodsMixed methods were used to define and measure a set of competencies for health service managers. In addition, supervisors of managers were asked to identify the differences in competence between the average and high-performing managers reporting to them. ResultsSupervisors could clearly distinguish between average and higher-performing managers and identified related competencies. ConclusionsThe consistent pattern of competence among community health and hospital public sector managers demonstrated by this study could be used to develop a strategic approach to talent management for the public healthcare sector in Australia. What is known about this topic?Although there are validated competency frameworks for health service managers, they are rarely used in practice in Australia. What does this paper add?This paper illustrates the perceived differences in competencies between top and average health services managers using a validated framework. What are the implications for practitioners?The public health sector could work together to provide a more effective and efficient approach to talent management for public hospitals and community health services.
Swamp wallaby (Wallabia bicolor) distribution has dramatically increased following sustained biological control of rabbits
Authors: Cooke B. D.
Published: March 2020

Swamp wallabies have dramatically extended their distribution through western Victoria and south-eastern South Australia over the last 40 years. Newspaper reports from 1875 onwards show that on European settlement, wallaby populations were confined to eastern Victoria, including the ranges around Melbourne, the Otway Ranges and Portland District of south-western Victoria, and a tiny part of south-eastern South Australia. Populations contracted further with intense hunting for the fur trade until the 1930s. In the late 1970s, however, wallabies began spreading into drier habitats than those initially recorded. Possible causes underlying this change in distribution are discussed; some seem unlikely but, because wallabies began spreading soon after the introduction of European rabbit fleas as vectors of myxomatosis, the cumulative effects of releases of biological agents to control rabbits appear important. A caution is given on assuming that thick vegetation in high-rainfall areas provides the only habitat suitable for swamp wallabies, but, most importantly, the study shows how native mammals may benefit if rabbit abundance is reduced.
Thermal cameras as a survey method for Australian arboreal mammals: a focus on the greater glider
Authors: Vinson Simon G. , Johnson Aidan P. , Mikac Katarina M.
Published: March 2020

This study developed and tested the efficacy of a real-time thermography technique to improve survey methods for Australian arboreal mammal species, with a focus on the greater glider. Development involved the use of thermal imaging cameras combined with spotlight transect surveys of an endangered greater glider population at Seven Mile Beach National Park. Over 30h of nocturnal spotlight transect surveys were undertaken over 14 (1km) transects within 70ha of dry sclerophyll forest. A protocol for the use of thermography to survey greater gliders was developed. The efficacy of the thermography protocol was then experimentally tested in comparison to traditional spotlighting. Overall, thermography was better at detecting arboreal mammals than spotlighting (P<0.05). However, the effect was not significant for greater gliders (P=0.79), even though there was a trend towards improved detection of the species using thermal cameras. Thermography is a novel approach to undertaking arboreal mammal surveys and future studies should consider its relevance, effectiveness and associated costs to improve survey designs, especially for threatened species.
Meat quality traits and feeding distillers grains to cattle: a review
Authors: Merayo M. , Pighin D. , Grigioni G.
Published: March 2020

Livestock management and meat production involve a series of steps that affect meat quality. Animal genetics, nutrition and diets, slaughter procedures and meat-preservation conditions are some of the parameters that should be controlled to maintain meat quality. In regard to animal nutrition and diets, novel ingredients are increasingly used, distillers grains (DG) being an example. DG are obtained as a co-product from bioethanol production and comprise the fat, protein, fibre and micronutrient portion of the grains. Many papers have studied the inclusion of DG in finishing diets and their effect on growth performance and meat characteristics, but a review on the effects on meat quality is needed. Feeding with DG influences beef colour; nevertheless, a relationship between the level of inclusion and colour development has not been established yet. In addition, feeding DG-inclusion diets sometimes increases meat discoloration during retail display. Also, the composition of fatty acids is modified since total polyunsaturated fatty acid content in meat increases with the inclusion of DG in finishing diets. This increment in polyunsaturated fatty acid content is likely to contribute to lipid oxidation processes and might be related to meat discoloration due to myoglobin oxidation. However, meat tenderness has not been modified in most of the cases. This review focused on recent studies on DG inclusion, animal performance and meat quality. Key points that need further research are also identified and discussed.
Short-term feed intake regulation of dairy cows fed a total mixed ration or grazing forage oats
Authors: Soutto J. P. , Carriquiry M. , Chilibroste P. , Astessiano A. L. , Garcia-Roche M. , Trujillo A. I.
Published: March 2020

The integration of feeding behaviour with hepatic and endocrine–metabolic signals provides insights for a better understanding of short-term intake in dairy pasture-based systems. Therefore, the objective was to quantify hepatic and endocrine–metabolic signals before and after the first daily feeding event relating to feeding behaviour in a total mixed ration (TMR) versus a grazing pasture-based diet. During 15 days of adaptation and 5 days of measurements, 14 multiparous Holstein cows (days in milk = 148 ± 12.7; liveweight = 535 ± 10.9 kg; body condition score = 2.8 ± 0.08 (1–5 scale); milk yield = 28.9 ± 3.32 kg) were assigned to two treatments in a randomised block design: PAS = pasture (herbage allowance = 45 kgDM/cow.day; dry matter (DM) = 21%, net energy requirements for maintenance and lactation = 6.7 MJ/kgDM) + concentrate (0.9% of liveweight) or TMR (55:45 forage:concentrate ratio, as-dry basis; DM = 40%, net energy requirements for maintenance and lactation = 7.2 MJ/kgDM) ad libitum in a free stall facility. The DM intake of the first feeding event, feeding behaviour, and total DM intake and milk production, were measured. Blood and liver samples were taken before and after the first feeding event for hormones and metabolites determination. Comparing TMR versus PAS cows, total DM and net energy requirements for maintenance and lactation intake, milk production, and energy balance were greater (P < 0.05), eating and rumination activities were lower (9.2%, P < 0.01; 2.4%, P = 0.06 respectively) and resting activity was greater (11.6%, P < 0.01), whereas duration and DM intake of the first feeding event did not differ. The insulin:glucagon ratio and liver adenosine triphosphate:adenosine diphosphate ratio increased (P < 0.05), and plasma glucose decreased (P < 0.05) after the first feeding event only in TMR cows, probably due to greater flux of propionate to the liver. A negative correlation between post-feeding liver adenosine triphosphate:adenosine diphosphate ratio and post-feeding liver acetyl coenzyme A (r = –0.82, P = 0.045) was also observed only in TMR cows. It is concluded that hepatic and metabolic signals known to support the hepatic oxidation theory in TMR-fed cows appear not to affect the cessation of the first feeding event in mid-lactation cows grazing a pasture-based diet. Further research is required to relate intake rate, flux of nutrients to liver and its response in hepatic metabolism in grazing dairy cows.
Oocyte IVM or vitrification significantly impairs DNA methylation patterns in blastocysts as analysed by single-cell whole-genome methylation sequencing
Authors: Zhao Ya-Han , Wang Jing-Jing , Zhang Pei-Pei , Hao Hai-Sheng , Pang Yun-Wei , Wang Hao-Yu , Du Wei-Hua , Zhao Shan-Jiang , Ruan Wei-Min , Zou Hui-Ying , Hao Tong , Zhu Hua-Bin , Zhao Xue-Ming
Published: March 2020

To explore the mechanisms leading to the poor quality of IVF blastocysts, the single-cell whole-genome methylation sequencing technique was used in this study to analyse the methylation patterns of bovine blastocysts derived from invivo, fresh (IVF) or vitrified (V_IVF) oocytes. Genome methylation levels of blastocysts in the IVF and V_IVF groups were significantly lower than those of the invivo group (P<0.05). In all, 1149 differentially methylated regions (DMRs) were identified between the IVF and invivo groups, 1578 DMRs were identified between the V_IVF and invivo groups and 151 DMRs were identified between the V_IVF and IVF groups. For imprinted genes, methylation levels of insulin-like growth factor 2 receptor (IGF2R) and protein phosphatase 1 regulatory subunit 9A (PPP1R9A) were lower in the IVF and V_IVF groups than in the invivo group, and the methylation level of paternally expressed 3 (PEG3) was lower in the V_IVF group than in the IVF and invivo groups. Genes with DMRs between the IVF and invivo and the V_IVF and IVF groups were primarily enriched in oocyte maturation pathways, whereas DMRs between the V_IVF and invivo groups were enriched in fertilisation and vitrification-vulnerable pathways. The results of this study indicate that differences in the methylation of critical DMRs may contribute to the differences in quality between invitro- and invivo-derived embryos.
The effects of telicity, dynamicity and punctuality in L2 acquisition of Spanish Preterit and Imperfect
Authors: Quintana Hernández Lucía
Published: March 2020

The aim of this work is to investigate the use of Spanish Preterit and Imperfect by English speaking learners of L2 Spanish following the Lexical Aspect Hypothesis (Andersen & Shirai, 1996; Díaz, Bel, & Bekiou, 2008; Domínguez, Tracy-Ventura, Arche, Mitchell, & Miles, 2013; González, 2003, 2013; Montrul & Slabakova, 2002). The article studies how aspectual features bias Preterit and Imperfect in initial, intermediate and advanced learners. The results, based on an approximate binomial distribution analysis, confirm that Preterit is the preferred past, which supports L1 transfer (Salaberry & Shirai, 2002). The results also verify that Preterit is biased by dynamicity and punctuality at all levels. Telicity effects come into play in intermediate levels, while punctuality effects are reinforced in advanced levels. Stativity influences the use of Imperfect in intermediate level, which reveals that there are differences in the bias effect regarding proficiency level.
Speaker’s stance and subjectivity in the epistemic modal and evidential use of the Spanishimperfectoin journalistic texts
Authors: Böhm Verónica
Published: March 2020

This study contributes to the analysis of the epistemic modal and evidential use of the Spanishimperfectowith regard to the speaker’s stance and subjectively (rather than grammatically) motivated decision to use the Spanishimperfectoas an evidential strategy in journalistic texts: The speaker uses the Spanishimperfectoto express or tell a state of affairs from his perspective as a ‘narrator’, implying that he is not the author of such information and referring to third sources without mentioning it. The corpus data were obtained from theCorpus de la Real Academia Española(CREA) from the section ‘written journalistic texts’ of the standard Iberian Spanish to guarantee the authenticity of examples and avoid any case of misunderstanding it as a variety of Spanish.
Task and L1 effects
Authors: González Paz , Diaubalick Tim
Published: March 2020

Research on tense-aspect phenomena has shown that the type of experimental task can affect the performance of L2 learners. This pilot study on the understudied language combination Dutch-Spanish investigates this issue by focusing on the interaction between known affecting variables (inherent aspect; L1 effects) and different tasks (multiple-choice, fill-in-the-blanks, free production). First findings show that, indeed, both task type and L1 have an influence on the outcome. Generally, Dutch learners seem to prefer the Imperfect over the Preterit. This stands in contrast to previous research but can be explained by the imperfective features of the Dutch Simple Past with which the learners associate the L2 forms. Whereas this L1 effect is not visible in the multiple-choice task where the choice is forced, it manifests itself in tasks where students can choose freely between forms they know. Especially in the free production task, the L1 effect interacts with a high individual variability.
Legitimizing austerity in crisis-hit Greece
Authors: Kitis E. Dimitris , Serafis Dimitris
Published: March 2020

The article examines two key-speeches given by Greek PMs, at crucial junctures of the Greek crisis, both aiming to
legitimize austerity programs to the Greek population. The speeches by Papandreou (Socialists) and Tsipras (Radical Left)
represent critical moments of the crisis as the two PMs prepared to annul their pre-election promises for a cessation of
austerity. Within a CDS framework, we combine Systemic-Functional and Cognitive-Linguistic perspectives to demonstrate that both
speeches, contrary to depoliticized/technocratic (neoliberal) discourse, converge on the construction of a discourse that
privileges ‘the people/nation’ while, contrary to left-populist discourse, obscure any references to ‘the-establishment’. We,
thus, offer evidence of how left-wing discourses (of both established socialists and radical left) publicly (pro-)claim the
reconfiguration of social-democracy while, in fact, capitulating to market demands for neoliberal austerity policies. Findings
corroborate the view that real social-democracy has been neutered at the European level.
Reframing translational norm theory through 4EA cognition
Authors: Robinson Douglas
Published: March 2020

Norm theory was invented in 1986, by Daniel Kahneman and Dale T. Miller, as a decision-science subdiscipline of psychology, but with close connections with emerging embodied, embedded, enactive, extended and affective (4EA) cognitive science. Notably, they gave affective response a key role in marking not only the intensity but the cognitive load of norm-formative decision-making. A few years later, in the early 1990s, Gideon Toury, Andrew Chesterman, and other translation scholars began to theorize translational norms—with a very different model that apparently owed nothing to Kahneman and Miller’s pioneering work. In translational norm theory, norms are established based on the rational work of competent professionals, and anyone who doesn’t simply obey those norms cannot be considered a professional. This article rethinks translational norm theory using not only Kahneman & Miller but the later convergence of Merleau-Ponty’s lived experience with cognitive science in 4EA cognition.
The Neo-Aramaic Dialects of Iran
Authors: Khan Geoffrey
Published: March 2020

Spoken vernacular dialects of Aramaic, generally known as Neo-Aramaic dialects, have survived down to modern times in various regions of the Middle East and can be divided into various subgroups. There are some islands of Neo-Aramaic in the West of Iran, which are situated on the eastern periphery of the Neo-Aramaic area. These include dialects spoken by Christians and Jews belonging to the North-Eastern Neo-Aramaic subgroup in the West Azerbaijan, Kordestan and Kermanshah provinces and Neo-Mandaic spoken by Mandaeans in the Khuzestan province. This paper examines a number of distinctive features of the Neo-Aramaic dialects of Iran, including those that have been induced by contact with other languages in the area.
A critical role for plasminogen in inflammation
Authors: Baker Sarah K. , Strickland Sidney
Published: March 2020

Plasminogen and its active form, plasmin, have diverse functions related to the inflammatory response in mammals. Due to these roles in inflammation, plasminogen has been implicated in the progression of a wide range of diseases with an inflammatory component. In this review, we discuss the functions of plasminogen in inflammatory regulation and how this system plays a role in the pathogenesis of diseases spanning organ systems throughout the body.
Effect of heating time on structural, morphology, optical, and photocatalytic properties of g-C3N4 nanosheets*
Authors: Hung Nguyen Manh , Mai Oanh Le Thi , Hang Lam Thi , Chung Pham Do , Duyen Pham Thi , Thang Dao Viet , Van Minh Nguyen
Published: March 2020

Effect of heating time on the structural, morphology, optical, and photocatalytic properties of graphitic carbon nitride (g-C3N4) nanosheets prepared at 550 °C in Ar atmosphere is studied. The investigations are carried out by using x-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), UV–vis absorption, and photoluminescence (PL). At a heating temperature of 550 °C, g-C3N4 nanocrystals are formed after 0.5 h and become more orderly as the heating time increases. The surface area of the g-C3N4 nanosheets significantly increases as the preparation time increases. The g-C3N4 prepared in 2.5 h shows the highest photocatalytic performance, decomposing completely 10 ppm RhB solution under xenon lamp irradiation for 2.0 h.
Seeing Dirac electrons and heavy fermions in new boron nitride monolayers*
Authors: Kang Yu-Jiao , Chen Yuan-Ping , Yuan Jia-Ren , Yan Xiao-Hong , Xie Yue-E
Published: March 2020

Most three-dimensional (3D) and two-dimensional (2D) boron nitride (BN) structures are wide-band-gap insulators. Here, we propose two BN monolayers having Dirac points and flat bands, respectively. One monolayer is named as 5–7 BN that consists of five- and seven-membered rings. The other is a Kagome BN made of triangular boron rings and nitrogen dimers. The two structures show not only good dynamic and thermodynamic stabilities but also novel electronic properties. The 5–7 BN has Dirac points on the Fermi level, indicating that the structure is a typical Dirac material. The Kagome BN has double flat bands just below the Fermi level, and thus there are heavy fermions in the structure. The flat-band-induced ferromagnetism is also revealed. We analyze the origination of the band structures by partial density of states and projection of orbitals. In addition, a possible route to experimentally grow the two structures on some suitable substrates such as the PbO2 (111) surface and the CdO (111) surface is also discussed, respectively. Our research not only extends understanding on the electronic properties of BN structures, but also may expand the applications of BN materials in 2D electronic devices.
Reduction of entropy uncertainty for qutrit system under non-Markov noisy environment*
Authors: Xu Xiong , Fang Mao-Fa
Published: March 2020

We explore the entropy uncertainty for qutrit system under non-Markov noisy environment and discuss the effects of the quantum memory system and the spontaneously generated interference (SGI) on the entropy uncertainty in detail. The results show that, the entropy uncertainty can be reduced by using the methods of quantum memory system and adjusting of SGI. Particularly, the entropy uncertainty can be decreased obviously when both the quantum memory system and the SGI are simultaneously applied.
Rare events in stochastic processes with sub-exponential distributions and the big jump principle
Authors: Burioni Raffaella , Vezzani Alessandro
Published: March 2020

Rare events in stochastic processes with heavy-tailed distributions are controlled by the big jump principle, which states that a rare large fluctuation is produced by a single event and not by an accumulation of coherent small deviations. The principle has been rigorously proved for sums of independent and identically distributed random variables and it has recently been extended to more complex stochastic processes involving Lévy distributions, such as Lévy walks and the Lévy–Lorentz gas, using an effective rate approach. We review the general rate formalism and we extend its applicability to continuous time random walks and to the Lorentz gas, both with stretched exponential distributions, further enlarging its applicability. We derive an analytic form for the probability density functions for rare events in the two models, which clarify specific properties of stretched exponentials.
Development of Local Web-Based Learning (LWBL) as Low-Cost Digital Learning Efforts
Authors: Supratman  , Arianto Toni , Maiyana Efmi
Published: March 2020

In a learning practice, we cannot avoidthe use of Information Technology (IT). IT has been able to contribute to the world of education. Learning is more effective, interactive, broad, not time-bound and not patterned only in the classroom. This condition makes IT able to improve the quality of education that can be proud of. The use of IT in the world of education is increasingly being realized its benefits and not only as a complementary medium for educational institutions but has become one of the competitive strategies for institutions in order to improve the quality of its outcomes. In practice, there are some obstacles in the use of IT in learning, namely inadequate infrastructure, inadequate human resources and high operational costs. This research aims to develop a local web-based learning product in an effort to minimize the above constraints. This technology is theoretically able to contribute to students in their learning activities such as increased productivity, flexibility and interactivity without being burdened by the cost of internet access and anxiety in the appearance of content that does not educate when learning takes place. This research uses the 4D version of Research and Development (R&D) approach (Define, Design, Develop, and Disseminate). The results of the study are localhost-based learning websites that can be accessed without the cost of internet access and avoidance of negative content carried by the internet. Based on the test results on the product, it is stated that the products produced can be categorized as valid, effective, and practical to be used in learning.
e-Consult: The Effectiveness of Thesis Advisory Model Using Management Information Systems in IAIN Bukittinggi
Authors: Supriadi
Published: March 2020

This study aims to obtain accurate data about the effectiveness of thesis advisory model using management information systems or e-Consult in IAIN Bukittinggi. This model has been developed in previous research in a series of research and development and has been validated by several experts with the result of very valid category. The effectiveness testing in this study involved 30 students whose thesis are advised by the researcher himself. It was done to facilitate the data selection. They were divided into the experimental group and the control group, each consisting of 15 students. This study was conducted through pre-experimental design with Static Group Comparison model. The data were analyzed by using non-parametric statistics through Binomial test. From this statistic test, the obtained level of effectiveness of this model is in very effective category.
Kahoot:Engage Students Into English Economic Fun Learning
Authors: Syafitri Widya , Pami Putri Hilma , Reflinda
Published: March 2020

Blended learning or E-learning has been famous in this digital age. The teaching and learning process is done through technology as an answer to millennial generation struggle. Several higher educations, which A accreditation, have implemented this learning. IAIN Bukittinggi can’t have fully actualized blended learning because of that reason. Some educators have done semi-blended learning, like in teaching English economic, the educator uses Kahoot in form of quiz to measure students’ achievement of a topic. So this research is aimed at answering research question whether Kahoot App can engage students into English fun learning, how Kahoot is implemented and also to know the benefit and limitation of Kahoot implementation in teaching learning process in IAIN Bukittinggi. This research was held qualitatively. The data were gotten through observation and interview and analyzed descriptively. The findings showed that the English educator had successfully engaged students into English economic fun learning. The students were inspired and motivated to learn English. However, it is expected that institution is going to provide backing media, like LCD and Wi-fi for all classes, in order to support the successful of this gamification program, Kahoot, implementation
Indigenous Bali on Augmented Reality as a Creative Solution in Industrial Revolution 4.0
Authors: Aditama Putu Wirayudi , Setiawan I Nyoman Anom Fajaraditya
Published: March 2020

Packaging creative media in augmented reality technology has become a new media in the face of the industrial revolution 4.0. The rapid development of the latest technology has caused problems for traditional Balinese culture - the phenomenon of colliding traditional culture towards the industrial revolution 4.0, motivating the development of culture-based technology. Bali has a variety of storytelling cultures, one of which is the traditional story of Cupak and Grantang. Story designation based on traditional fairy tale literacy will collaborate with augmented reality technology to add value to local content. The use of technological developments in traditional stories increases opportunities for cultural preservation in the form of creative and commercial media, while at the same time providing design solutions for Balinese native folk media in the field of augmented reality technology with traditional stories so that they can exist in the industrial era based on the industrial revolution 4.0 with native Balinese elements.
Improving the Quality of Management with the Concept of Decision Support Systems in Determining Factors for Choosing a Cafe based on Consumers
Authors: Sari Wisdalia Maya , Fitria F , Suharto Edi , Ikhwani Yusri , Wagino Wagino , Alamsyah Nur , Windarto Agus Perdana
Published: March 2020

The management quality of a cafe really needs to be maintained. This is considering that Cafe is one of the fast-growing and promising businesses. This research was conducted in the city of Pematangsiantar. The development of cafes in Pematangsiantar has not been accompanied by developments in modern technology. This makes customers still feel confused and need information to decide to visit a cafe that is in accordance with their wishes. The purpose of this research is to analyze the Analytical Hierarchy Process (AHP) method in choosing the dominant factor in determining the best cafe factor based on consumers from a number of assessment criteria. Researchers used 8 assessment criteria including: (C1) reliability, (C2) responses, (C3) tangible, (C4) certainty, (C5) security, (C6) ease, (C7) credibility, and (C8) understanding needs. The questionnaire assessment was carried out using 7 alternative cafes among 339, A +, Kok Tong, Coffee Cups, Coffee Time, Eldivo and Indis Cafe. The results of the questionnaire were processed and calculated using the Analytical Hierarchy Process (AHP) method. The results of the study showed that (C1) reliability with vector eigenvalues (0.231) as the first, second and third rank (C6) Ease with vector eigenvalue (0.141) and (C2) responses with vector eigenvalue (0.130). It is hoped that this research can provide input to the owner in creating a decent cafe atmosphere to be a family gathering place..
Sigmoid Activation Function in Selecting the Best Model of Artificial Neural Networks
Authors: Pratiwi Heny , Windarto Agus Perdana , Susliansyah S. , Aria Ririn Restu , Susilowati Susi , Rahayu Luci Kanti , Fitriani Yuni , Merdekawati Agustiena , Rahadjeng Indra Riyana
Published: March 2020

The aim of the research is to make predictions from the best architectural model of backpropagation neural networks. In determining the outcome in the form of a prediction model, the activation function in the artificial neural network is useful to transform an input into a certain output. In this study the activation function used is sigmoid. The study uses the case of population density in Indonesia considering that for developing countries population growth has many negative impacts such as increased poverty, unemployment and crime rates. This study uses data from Badan Pusat Statistic Indonesia for population categories in 2003-2015. The process of determining the architectural model is carried out 2 stages including: the training stage and the testing stage. The two architectural models used (5-2-1 and 5-10-1), the selection of architectural models is done by looking at several assessment parameters such as epoch, accuracy, MSE training and MSE testing. The process of training and testing of data is done by using the help of the Matlab application. The results of the study obtained that the architectural model 5-2-1 is the best model for predicting with an accuracy of 65%, MSE Training 0,0009997254, MSE Testing 0.0014897214 and Epoch 28548.
Usability Testing for Android Radio Streaming Apps of Songgolangit FM
Authors: Asy’ari Nur Aini Shofiya , Muriyatmoko Dihin
Published: March 2020

Songgolangit FM Radio (SFMR) is one of Ponorogo pride information and solutions. Based on previous research, a few months ago, SFMR has an Android Streaming Apps launched on July 29, 2019, in the Google Play store (https://play.google.com/store/apps/details?id=com.amoled.radiosonggolangit&hl=en) As a newly launched application, usability testing needs to measure how easy to use its user interface. The research aims to measure ease of use using usability testing of SFMR based on five-factor: learnability, efficiency, memorability, error, and satisfaction. The usability testing used a questionnaire by nine people from five division in SFMR. The usability testing gets an average total score with a value of 88% by Likert scale. The error factor receives the lowest rating due to incomplete information about the SFMR. From all overall calculation can be concluded that it can be accepted and appropriately used by the SFMR management. In the next research, it can improve the error factor based on respondents’ comments.
New Method Based Pre-Processing to Tackle Missing and High Dimensional Data of CRISP-DM Approach
Authors: Suntoro Joko , Ilham Ahmad , Rani Handini Arga Damar
Published: March 2020

The kidneys are one of the most important organs including the excretion system in humans. The kidneys are responsible for maintaining blood concentrations to remain constant (homeostatic) and help to control blood pressure (BP). If the task of the kidney is not functioning properly it will cause kidney failure. In the past decade, data mining methods have been used to diagnose kidney failure. The dataset used to predict kidney failure was successfully summarized by Soundarapandian, and was named the Chronic Kidney Disease (CKD) dataset. But the data in the CKD dataset contains missing value and high dimension data (original data) so that it affects the evaluation results on classification. This research proposes methods in preprocessing data, namely modus in every class (MEC) method to solve missing value problems, and the weight information gain (WIG) method for solving high dimensional data problems, the proposed method is named the MEC + WIG method. The MEC + WIG method will be compared with the original method and the MEC method and evaluated based on the accuracy of the traditional classification method (k-NN, Naïve Bayes, C4.5, and CART). The results showed that the average accuracy of the MEC + WIG method was better than the original method and the MEC method, with the average accuracy of the MEC + WIG method at 98.13%, while the average value of the accuracy of the original method and MEC respectively amounting to 88.56% and 92.88%. There were significant differences between the three methods when tested using Friedman test with a p-value of 0.02. It can be concluded that the MEC + WIG method can improve the performance of traditional methods k-NN, Naive Bayes, C4.5 and CART by overcoming the problem of missing value and data high dimension.
Classification of Apples based Leaf Using K-Nearest Neighbors and Moment Invariant Extraction
Authors: Huda Walidini Syaihul , Rosadi Muhammad Imron , Khambali  , Radian Muhammad Syah , Hudaa Syihaabul
Published: March 2020

Apples are one of several fruits that are widely favored and cultivated in various regions, in Indonesia many regions cultivate them and serve as the main source of livelihood. From the many types of apples that thrive, it is not difficult for the owner to recognize one type of apple that they planting, because everything looks the same. In previous studies a classification of apple plants using themethod K-Nearest Neighbor (K-NN) with RGB extraction on a dataset of 50 data and in this study an accuracy rate of 93.33% in terms of homogeneity features, texture features was 73, 33% and reaches 100% in terms of Red, Green, Blue (RGB) features. In another study, researchers used the method K-Nearest Neighbor (K-NN) with extraction using histrogram, producing 90% accuracy with 90 data training and 10 data testing using apples as research objects. In contrast to some previous studies, in this study will be carried out on the object image of an apple leaf with a dataset of 750 images. In this study, the author will examine the method K-Nearest Neighbor for the classification of apples based onleaf with the extraction feature moment invariant. The results of this study showed an accuracy of 74.93% for the classification of apple based on leaf which was carried out using the K-NN method with moment invariant for feature extraction method
Implementing of Data Warehouse Data Alumni using the Single Dimensional Data Store method
Authors: Asroni Titis , Arimbi Bimbi , Riyadi Slamet
Published: March 2020

Data is Information that has not been processed or manipulated, which is not enough for some users. So that the info is useful, the data needs to be prepared and integrated first to become Information. Universitas Muhammadiyah Yogyakarta has a tool to monitor data on Alumni, namely Tracer Study. The data currently available is still not integrated and processed correctly. Now there is a solution for processing data and data by making base data. The purpose of creating this database is to facilitate users in checking data, data that will be stored neatly and integrated into the computer. The method in this study uses the Single DDS method. Methodology This research starts from determining the subject of investigation, primary needs, creating baseline data, analyzing results. The backstage of need is carried out with two data analyzes, and interviews with LPKA (Lembaga Pengelola Kemahasiswaan dan Alumni) or Students and Alumni Management Institutions. Baseline data making in this study is single DDS, which has two data stores, namely Stage and DDS. Data analysis is done by creating reports with Microsoft Office Excel according to user needs. The testing phase is carried out with two processes, namely: ETL Testing and Functional Testing.
Effective Marketing Strategy Determination Based on Customers Clustering Using Machine Learning Technique
Authors: Andi Purnomo Muhammad Ridwan , Azzam Abdullah , Uswatun Khasanah Annisa
Published: March 2020

Marketing is one of the high cost activities in product sales. Therefore, effective marketing is a must in a company and it should be able to encourage customers to purchase more products. One of the efforts to determine effective marketing strategies is clustering the customers and formulating correct actions for every customer cluster. Today, most of companies have digital data including customer transaction data. Techniques to analyse digital data to discover knowledge behind the data is also developed from time to time. One of the techniques in digital data analysis that receives major attention from researchers is machine learning; a technique to enable computer to do learning in analysing the data. This study presents the process of customer clustering to determine effective marketing strategy using a machine learning technique. Customers would be analysed based on 3 parameters, which are last date of coming (recency/R), purchase frequency (frequency/F) and total money spent for product purchased (monetary/M). Such method is known as RFM method. Result of this study shows that the proposed machine learning could be used to cluster the customers and the customer clusters could be used as the basis for marketing manager to determine suitable marketing strategy for every customer clusters.
E-Learning as Connector among Education Institution in the 4th Industrial Revolution
Authors: Yuhasriati  , Jasmaniah  , Azhari Budi , Ma’awiyah Aisyah , Zulkifli  , Syabuddin  , Hamid Marwan , Hamidansyah  , Ridhwan Muhammad , Hambali  , Ilyas  , Bahri Samsul
Published: March 2020

This paper presents the possibility of e-learning as connector among education institutions in the fourth industrial revolution. Since industry started emerging in this world, the industrial journey has reached level four that is currently well known as the fourth industrial revolution. Each stage of revolution has its own impact on education. The fourth industrial revolution requires educational sector synchronize the educational process in order for students or graduates to smoothly interact to the revolutionized changes. E-learning is one among educational entities that is relevant to the fourth industrial revolution in the area of education. With the connectedness as the main characteristic of the fourth industrial revolution, it gives a wide range of opportunities among education institutions particularly for higher education institutions to work, collaborate, and help each other within the platform of e-learning. Besides that, e-learning also enable the developed higher education to help primary and secondary schools at low cost and energy, particularly for professional development of teacher.
Exploring Personality, Grit and Organizational Citizenship Behavior at Higher Education : The Mediating Roles Of Job Involvement
Authors: Puteri Hesi Eka , Arifin M.
Published: March 2020

This study investigates whether personality and grit affect the Organizational Citizenship Behavior (OCB) and if so, whether this relationship is mediated by job involvement or not. This study was a survey at the Industrial Vocational Higher Education of the Ministry of Industry in Indonesia in 2018, with a sample of 217 of lecturers. Data collected by using the questionnaire and analyzed by PLS Model with single-mediator. This research reveals that personality and grit have a positive direct effect on the organizational citizenship behavior. The influence of personality on organizational citizenship behavior is partially mediated by job involvement, but job involvement does not mediate the influence of grit on organizational citizenship behavior. Theoritically, the study extends the current theory by exploring grit as an important predictor that influences organizational citizenship behavior and this relationship is not mediated by job involvement.
Cooperative Learning Approach Applying Jigsaw Strategy to Enhance Students’ Comprehension Skill
Authors: Baneng Mariyae
Published: March 2020

Reading is an important skill in learning new languages as it is a receptive skill in the language competence despite of listening. Reading process requires learners to decode the symbols, interpreting the meaning and applying the ideas derives from the symbols (Herber 1978). However, to understand the reading material seems to be the main obstacle among language learners including Thai students. To help students increase their comprehension, the cooperative learning approach is an effective approach to deal with reading comprehension crisis as it contains the element of collaborative working required for 21st century learners. Jigsaw reading is presented here as the strategy to increase students’ comprehension in while reading stage. It is an activity designed for reading class based on cooperative learning elements.
Design of Baby Box for Early Detection Based on Microcontroller
Authors: Prasojo Ipin , Megantoro Prisma , Raharja Nia Maharani
Published: March 2020

In general, baby nurses in the hospital, if the baby cries and bedwetting can not immediately find out because there is no completeness or tool to inform / monitor the baby’s condition by using several indicators. Therefore, this article discusses the design of automatic baby box device. In the planning and making of paper modules, the writer has problem boundaries, namely planning and making baby boxes equipped with bedwetting sensor, crying sensor accompanied by musical rhythm
Harmonic Reduction Using Shunt Active Filter for Electrical Installation
Authors: Jamal A , Putri S G , Chamim A N N , Syahputra R
Published: March 2020

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

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

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.