bluuebunny/crossref_metadata_2025 huggingface dataset:
Detection of decoupled surface and bulk states in epitaxial orthorhombic SrIrO3 thin films
Authors: Evans Prescott E. , Komesu Takashi , Zhang Le , Shao Ding-Fu , Yost Andrew J. , Kumar Shiv , Schwier Eike F. , Shimada Kenya , Tsymbal Evgeny Y. , Hong Xia , Dowben P. A.
Published: April 2020

We report the experimental evidence of evolving lattice distortion in high quality epitaxial orthorhombic SrIrO3(001) thin films fully strained on (001) SrTiO3 substrates. Angle-resolved X-ray photoemission spectroscopy studies show that the surface layer of 5 nm SrIrO3 films is Sr–O terminated, and subsequent layers recover the semimetallic state, with the band structure consistent with an orthorhombic SrIrO3(001) having the lattice constant of the substrate. While there is no band folding in the experimental band structure, additional super-periodicity is evident in low energy electron diffraction measurements, suggesting the emergence of a transition layer with crystal symmetry evolving from the SrTiO3 substrate to the SrIrO3(001) surface. Our study sheds light on the misfit relaxation mechanism in epitaxial SrIrO3 thin films in the orthorhombic phase, which is metastable in bulk.
Leading-edge bluntness effects in hypervelocity flat plate flow
Authors: Mallinson S. G. , Mudford N. R. , Gai S. L.
Published: April 2020

The combined effects of leading-edge bluntness and high enthalpy are examined for hypersonic flat plate flow. Experimental pressure and heat transfer data are presented for both sharp and blunt leading-edge flat plates. For the sharp leading-edge flows, the data are in agreement with perfect gas theory. For the blunt leading-edge flows, the low and high enthalpy pressure data approach the perfect gas blast wave theory as the flow proceeds downstream, consistent with earlier studies at low enthalpy. Toward the front of the plate, the heat transfer data lie above the corresponding values obtained with the sharp leading-edge configuration. The difference between sharp and blunt leading-edge heat transfer levels appears to be smaller at high enthalpy. This seems to be due to dissociation which occurs in the nose region, thus reducing the shock stand-off distance and increasing the chemical potential enthalpy of the flow. When the presence of dissociated species in the flow is accounted for, the data close to the leading-edge are seen to compare well with perfect gas bluntness–viscous similitudes. Farther downstream, the measured heat transfer values are greater than the perfect gas theoretical predictions for blunt leading-edge flow, and closer to both the corresponding predictions at chemical equilibrium, and sharp leading-edge theory for perfect gas flow.
Clear-sky index space-time trajectories from probabilistic solar forecasts: Comparing promising copulas
Authors: van der Meer Dennis , Yang Dazhi , Widén Joakim , Munkhammar Joakim
Published: April 2020

Short-term probabilistic solar forecasts are an important tool in decision-making processes in which uncertainty plays a non-negligible role. Purely statistical models that produce temporal or spatiotemporal probabilistic solar forecasts are generally trained individually, and the combined forecasts therefore lack the temporal or spatiotemporal correlation present in the data. To recover the spatiotemporal dependence structure, a copula can be employed, which constructs a multivariate distribution from which spatially and temporally correlated uniform random numbers can be sampled, which in turn can be used to generate the so-called space-time trajectories via the inverse probability integral transform. In this study, we employ the recently introduced ultra-fast preselection algorithm to leverage the spatiotemporal information present in a pyranometer network and compare its accuracy to that of quantile regression forecasts that only consider temporal information. We show that the preselection algorithm improves both the calibration and sharpness of the predictive distributions. Furthermore, we employ four copulas, i.e., (1) Gaussian, (2) Student-t, (3) Clayton, and (4) empirical, to generate space-time trajectories. The results highlight the necessity to rigorously assess the calibration of the space-time trajectories and the correct modeling of the spatiotemporal dependence structure, which we show through techniques introduced in atmospheric sciences. The code used to generate the results in this study can be found at https://github.com/DWvanderMeer/SpaceTimeTrajectories.
Koopmans’ tuning of HSE hybrid density functional for calculations of defects in semiconductors: A case study of carbon acceptor in GaN
Authors: Demchenko D. O. , Reshchikov M. A.
Published: April 2020

Hybrid density functional theory has become a standard method for calculations of defects in semiconductors. The majority of work in this field is done using hybrid functionals tuned to reproduce the experimental bandgap of the host material. This approach usually yields results in reasonable agreement with the experiment. Alternatively, hybrid functional can be tuned to fulfill the generalized Koopmans' condition for defect orbitals, which cancels self-interaction energy and restores the linear behavior of energy with respect to electron occupation. Here, we investigate the methods of hybrid functional tuning, which both satisfy the generalized Koopmans' condition and reproduce the experimental bandgap, using one of the most well-studied defects in GaN, carbon acceptor. We test different charged defect correction schemes, the influence of Ga3d-electrons, and compare the results with accurate photoluminescence measurements. We find that using different charged defect correction methods can lead to substantially different hybrid functional parametrizations. However, the calculated optical properties of the carbon acceptor are found to be weakly dependent on specific parameters.
A design of ultra-wideband linear cross-polarization conversion metasurface with high efficiency and ultra-thin thickness
Authors: Liu Chuan , Gao Renjing , Wang Qi , Liu Shutian
Published: April 2020

In this work, a polarization conversion metasurface is proposed, which can convert linearly polarized electromagnetic (EM) waves into cross-polarized waves in ultra-wideband at high polarization conversion efficiency. The proposed sandwiched metasurface, composed of a top anisotropic resonator structure, an intermediate dielectric substrate, and a bottom metallic ground, has an extremely thin thickness (only 6.6% of the longest wavelength of the working frequency range). Both numerical simulation and experimental results illustrate that the metasurface can work in the ultra-wideband (ranging from 9.04 to 20.83 GHz) with a high polarization conversion ratio (>0.9). Polarization conversion in a wide bandwidth is attributed to multiple resonances in the operating frequency range. Additionally, the proposed metasurface also shows good performance for oblique incidence. It is expected that the designed metasurface will be more convenient for integration within ultra-thin EM devices.
Prediction of room-temperature multiferroicity in strained MoCr2S6 monolayer
Authors: Liu Li-Zhe , Jin Kyung-Hwan , Liu Feng
Published: April 2020

The contrasting d-orbital occupation required for ferroelectricity vs ferromagnetism makes it difficult for their coexistence in two-dimensional materials, especially at high temperature. To resolve this intrinsic contradiction, we propose a layered MoCr2S6 multiferroics by alloying magnetic Cr element into the ferroelectric 1T phase of the MoS2 matrix. First-principles calculations disclose that a spontaneous symmetry breaking, depending on the Mo atom displacement, leads to a robust ferroelectricity, which coexists with a ferromagnetic order originated from two neighboring Cr atoms. The effect can be further enhanced by tensile strain to bring about a room-temperature multiferroicity. Our findings shed new light on the fundamental understanding of multiferroics and display promising applications in spintronics and multistate data storage.
Actively mode tunable electromagnetically induced transparency in a polarization-dependent terahertz metamaterial
Authors: Cheng Yuyang , Zhang Kun , Liu Yan , Li Shixia , Kong Weijin
Published: April 2020

Electromagnetically induced transparency (EIT) is a quantum destructive interference phenomenon in three-level atomic systems, which can slow down the light velocity and has application prospects in information storage and processing. However, the EIT effect in atomic systems requires harsh experimental conditions. This problem can be solved by employing an EIT metamaterial, where destructive interference occurs between a bright mode and a dark mode or a quasi-dark mode, inducing a transparency window accompanied by the slow light effect. Here, we propose an actively mode tunable electromagnetically induced transparency terahertz metamaterial, which is comprised of a T-type resonator, a split-ring resonator (SRR), and coupled split-ring resonators (CSRRs). When the external electric field is vertical to the gap of the SRR (x-polarization), there is a single EIT mode accompanied by one slow light wave packet. On the other hand, when the external electric field is parallel to the gap of the SRR (y-polarization), there are two EIT modes accompanied by two slow light wave packets. Therefore, an active switch from a single EIT mode to dual EIT modes controlled by changing the polarization is demonstrated, which can find explanation from the electric field intensity distributions. This work offers a strategy to realize the mode tunable EIT, which may achieve potential applications in active filters, modulators, and slow light devices.
Ground state criteria in one-dimensional antiferromagnetic Ising model with long range interaction
Authors: Kerimov Azer
Published: April 2020

One-dimensional long-range Ising models with antiferromagnetic, convex pair interactions are investigated. A new criterion characterizing ground states is given. The criterion and a new transformation yield short proofs identifying and characterizing the ground states. The uniqueness of periodic ground states up to shifts is shown.
Phase dependence of Schottky barrier heights for Ge–Sb–Te and related phase-change materials
Authors: Zhang Zhaofu , Guo Yuzheng , Robertson John
Published: April 2020

The large difference of dielectric functions between the amorphous and crystalline phases of Ge–Sb–Te based phase-change materials (PCMs) used in memory storage devices also affects their Schottky barrier heights (SBHs) and thus their electrical device properties. Here, the SBHs of each phase of Ge2Sb2Te5, GeTe, GeSe, and SnTe are found by density functional supercell calculations. The Fermi level pinning factor S calculated for the crystalline phases (with a larger dielectric constant) is smaller than their amorphous phases, agreeing well with the empirical relationship linking SBH to a dielectric constant. The relatively large dielectric constant of crystalline PCMs arises from their resonant bonding (metavalent bonding), but their pinning factor is not always as small as empirically expected. The results are useful for optimizing the design of metal contacts for Ge–Sb–Te type phase-change memory devices.
Pulse percolation conduction and multi-valued memory
Authors: Karpov V. G. , Serpen G. , Patmiou Maria , Shvydka Diana
Published: April 2020

We develop a theory of pulse conduction in percolation type materials such as noncrystalline semiconductors and nano-metal compounds. For short voltage pulses, the corresponding electric currents are inversely proportional to the pulse length and exhibit significant nonohmicity due to strong local fields in resistive regions of the percolation bonds. These fields can trigger local switching events incrementally changing bond resistances in response to pulse trains. Our prediction opens a venue to a class of multi-valued nonvolatile memories implementable with a variety of materials.
The effects of rapeseed cake intake during the finishing period on the fatty-acid composition of the longissimus muscle of Limousin steers and changes in meat colour and lipid oxidation during storage
Authors: Benhissi H. , García-Rodríguez A. , de Heredia I. Beltrán
Published: April 2020

Context Cold-pressed rapeseed cake is a by-product of biodiesel manufacturing that can be obtained on-farm after simple mechanical extraction of the oil. It has a high crude fat content and contains significant amounts of linoleic acid, which make it a promising lipid supplement to modulate meat fatty acid profile. However, previous studies have indicated that using unsaturated fats in beef cattle diets could promote lipid oxidation and reduce meat redness. Aims The present study aimed to evaluate the effects of supplementation of intensively fattened beef steers with cold-pressed rapeseed cake on the fatty acid composition of beef fat and changes in measures of meat colour and lipid oxidation during 6 days of aerobic storage. Methods Sixteen Limousin steers were divided into two homogeneous groups and were fed ad libitum with barley straw and a concentrate mixture supplemented with either PROGRAS (PROGRAS at 2.7% of the diet, high in palmitic acid C16:0 from palm oil; CTR, experimental control; n = 8) or cold-pressed rapeseed cake (CPRC at 14.8% of the diet; CPRC treatment; n = 8) for a period of 9 months. The growth performance and carcass traits were assessed. The intramuscular fatty acids were analysed and the colour stability and lipid oxidation were measured in meat stored aerobically at 4°C for 0, 3 or 6 days. Key results Slaughter bodyweight and average daily gain were not affected by the inclusion of CPRC in the diet. Nor were there any changes in carcass weight, conformation or fatness. The longissimus thoracis from CPRC-fed animals depicted a higher UFA–SFA ratio and a lower atherogenic index than did that from animals fed CTR. Feeding CPRC increased the oleic acid , the vaccenic acid and the rumenic acid proportions in the muscle fat without affecting the ratio of C18:1 trans-10 to C18:1 trans-11. The extents of lipid oxidation and colour deterioration during aging were not affected by the dietary treatments. Conclusions The use of cold-pressed rapeseed cake as a lipid supplement in beef-steer diet improved the fatty acid profile of muscle fat without compromising meat oxidative stability, animal growth performance and carcass characteristics. Implications The supplementation of beef-steer diet with cold-pressed rapeseed cake could be an advantageous economical strategy allowing exploitation of an important by-product of small-scale biodiesel manufacturing to provide consumers with healthier meat.
Bandicoot bunkers: training wild-caught northern brown bandicoots (Isoodon macrourus) to use microchip-automated safe refuge
Authors: Edwards M. C. , Hoy J. M. , FitzGibbon S. I. , Murray P. J.
Published: April 2020

Abstract
ContextSoft-release involving supplementary feeding or shelter is commonly used in wildlife reintroduction and rehabilitation projects. However, competition for nestboxes and supplementary feed, as well as predation at feed stations or nestboxes, can reduce the benefits of soft-release. The use of microchip-automated technology can potentially alleviate these concerns, by providing targeted supplementation to only the intended, microchipped animals.
AimsWe aimed to train wild-caught northern brown bandicoots, Isoodon macrourus, to use microchip-automated doors to access safe refuge.
MethodsBandicoots were trapped from the wild and brought to the Hidden Vale Wildlife Centre, where eight were trained to use the doors in a six-stage process, and then six were trained in a three-stage process, using a peanut butter reward.
Key resultsBandicoots learned to use the doors in as few as 3 days. The duration of visits to the door generally increased during training, although the number of visits decreased.
ConclusionsThe bandicoots successfully learned to use the microchip-automated doors, which shows that this technology has great potential with wildlife, particularly given the short training times required.
ImplicationsThe use of these microchip-automated doors with wildlife has many potential applications, including supplementary feeding stations, nestboxes, monitoring in the wild, as well as enrichment for wild animals in captivity.
MiR-181a-5p is involved in the cardiomyocytes apoptosis induced by hypoxia–reoxygenation through regulating SIRT1
Authors: Qi Mingxu , He Li , Ma Xiaofeng , Li Zili
Published: April 2020

MiR-181a-5p’s mechanism in hypoxia–reoxygenation (H/R)-induced cardiomyocytes apoptosis has not been clarified. This study verified that SIRT1 was the target of miR-181a-5p. MiR-181a-5p expression was up-regulated or down-regulated in H/R-induced cardiomyocytes, and SIRT1 was transfected into cells alone or in combination with miR-181a-5p. Cell viability, apoptosis, levels of released lactate dehydrogenase (LDH), malondialdehyde (MDA), and superoxide dismutase (SOD), as well as the Bcl-2, Bax, and Caspase 3 levels in treated cells were tested. On the one hand, down-regulated miR-181a-5p promoted cell viability, reduced released LDH and MDA, and increased SOD level in H/R-induced cardiomyocytes. On the other hand, miR-181a-5p inhibited apoptosis and elevated Bcl-2 expression while decreasing the expressions of Bax and Caspase 3 in treated cells, but the effects of miR-181a-5p could be rescued by SIRT1. In conclusion, miR-181a-5p involved in H/R-induced cardiomyocytes apoptosis through regulating SIRT1, which might become a novel direction for related diseases.
Korean Diaspora in the South Korean media discourse: changing narrative
Authors: Gorbunova Ekaterina
Published: April 2020

This paper aims to analyse the perception of Koreans overseas in South Korean mass media. Nowadays, due to globalization processes, the economic, political and cultural contacts between South Korean society and Korean diaspora has intensified. As a result, the perception of Korean immigrants in South Korea is becoming more positive. The analyses of media materials show that South Korean media highly estimate the contribution made by Korean immigrants to the development of South Korea, both historically and in the modern period. In addition, media also praise the positive qualities of Korean immigrants, such as being hardworking, and their active participation in the political and economic life of the host country. Another common narrative is the positive role of Korean diaspora in bilateral relations between the host country and South Korea. The comparison of recent media materials with those of the beginning of the XXI century shows that the positive representation of Korean diaspora is a recent tendency. The article also underlines that the way South Korean media develop a narrative about South Korean diaspora is on many occasions close to the narrative of South Korean officials.
FMNL2 regulates dynamics of fascin in filopodia
Authors: Pfisterer Karin , Levitt James , Lawson Campbell D. , Marsh Richard J. , Heddleston John M. , Wait Eric , Ameer-Beg Simon Morris , Cox Susan , Parsons Maddy
Published: April 2020

Filopodia are peripheral F-actin–rich structures that enable cell sensing of the microenvironment. Fascin is an F-actin–bundling protein that plays a key role in stabilizing filopodia to support efficient adhesion and migration. Fascin is also highly up-regulated in human cancers, where it increases invasive cell behavior and correlates with poor patient prognosis. Previous studies have shown that fascin phosphorylation can regulate F-actin bundling, and that this modification can contribute to subcellular fascin localization and function. However, the factors that regulate fascin dynamics within filopodia remain poorly understood. In the current study, we used advanced live-cell imaging techniques and a fascin biosensor to demonstrate that fascin phosphorylation, localization, and binding to F-actin are highly dynamic and dependent on local cytoskeletal architecture in cells in both 2D and 3D environments. Fascin dynamics within filopodia are under the control of formins, and in particular FMNL2, that binds directly to dephosphorylated fascin. Our data provide new insight into control of fascin dynamics at the nanoscale and into the mechanisms governing rapid cytoskeletal adaptation to environmental changes. This filopodia-driven exploration stage may represent an essential regulatory step in the transition from static to migrating cancer cells.
Steady states of a driven dissipative dipolar XXZ chain
Authors: Parmee C D , Cooper N R
Published: April 2020

We study theoretically a driven dissipative one-dimensional XXZ spin-1/2 chain with dipole coupling and a tunable strength of the Ising and XY interaction. Within a mean-field approximation, we find a rich phase diagram with uniform, spin density wave, antiferromagnetic and oscillatory phases, as well as regions of phase bistability. We study the phase diagram of small quantum systems using exact diagonalisation, and compare the results to the mean-field theory. We find that while expectation values only capture the uniform phases of the mean-field theory, fluctuations about these expectation values give signatures of spatially non-uniform phases and bistabilities. We find these signatures for all ratios of the Ising to XY interaction, showing that they appear to be general features of spin-1/2 systems.
NMR and NQR studies on transition-metal arsenide superconductors LaRu2As2, KCa2Fe4As4F2, and A2Cr3As3*
Authors: Luo Jun , Wang Chunguang , Wang Zhicheng , Guo Qi , Yang Ji , Zhou Rui , Matano K , Oguchi T , Ren Zhian , Cao Guanghan , Zheng Guo-Qing
Published: April 2020

We report 75As-nuclear magnetic resonance (NMR) and nuclear quadrupole resonance (NQR) measurements on transition-metal arsenides LaRu2As 2, KCa2Fe4As4F2, and A
2Cr3As3. In the superconducting state of LaRu2As2, a Hebel–Slichter coherence peak is found in the temperature dependence of the spin-lattice relaxation rate 1/T
1 just below T
c, which indicates that LaRu2As2 is a full-gap superperconducor. For KCa2Fe4As4F2, antiferromagnetic spin fluctuations are observed in the normal state. We further find that the anisotropy rate

R

AF

=

T
1
c

/

T
1

a
b

is small and temperature independent, implying that the low energy spin fluctuations are isotropic in spin space. Our results indicate that KCa2Fe4As4F2 is a moderately overdoped iron-arsenide high-temperature superconductor with a stoichiometric composition. For A
2Cr3As3 (A = Na, K, Rb, Cs), we calculate the electric field gradient by first-principle method and assign the 75As-NQR peaks to two crystallographically different As sites, paving the way for further NMR investigation.
A novel diluted magnetic semiconductor (Ca,Na)(Zn,Mn)2Sb2 with decoupled charge and spin dopings*
Authors: Gu Yilun , Zhang Haojie , Zhang Rufei , Fu Licheng , Wang Kai , Zhi Guoxiang , Guo Shengli , Ning Fanlong
Published: April 2020

We report the successful synthesis of a new diluted magnetic semiconductor (Ca,Na)(Zn,Mn)2Sb2. Na and Mn are doped into the parent compound CaZn2Sb2, which has the same crystal structure as that of “122” type iron-based superconductor CaFe2As2. Na substitution for Ca and Mn substitution for Zn introduce carriers and spins, respectively. Doping Mn atoms alone up to 5% does not induce any type of magnetic ordering. When both Na and Mn are co-doped, a ferromagnetic ordering with maximum T
C ∼ 10 K has been observed. Iso-thermal magnetization shows that the coercive field is up to ∼ 245 Oe at 2 K. Below T
C, a negative magneto-resistance with MR ∼ 12% has also been achieved.
Unbalanced Data Clustering with K-Means and Euclidean Distance Algorithm Approach Case Study Population and Refugee Data
Authors: Faizah NM , Surohman  , Fabrianto L , Hendra  , Prasetyo R
Published: April 2020

There is a lot of data that does not have a pattern and unbalanced that is difficult to classify, such as the total population of each country in the world is very varied especially when compared with the number of refugees from each of these countries, China and India numbered more than 2 billion people but the number of refugees is only 0, 01%, while Syria around 70% of the 18 million more residents are refugees. By using the K-Means algorithm, we can group countries that have similar characteristics of population and number of refugees, the average percentage of refugees to the population in each cluster is the character of the cluster. The methodology used in this study are: measures the distance of the data using the Euclidean distance formula, runs the K-Means algorithm, calculate the percentage value of each cluster and find conclusions from the characteristics of the clusters formed. We found how machine learning made a pattern of data without political and social issues, the result is K-Means describing machine learning can grouped every country in cluster that make sense.
Stability of Lorenz System at the Second Equilibria Point based on Gardano’s Method
Authors: AL-Azzawi S. F. , Mujiarto  , Patria L. , Sambas A. , Sanjaya W. S. M.
Published: April 2020

In this paper, stability conditions of the Lorenz system at the second equilibrium point are investigated by applying Gardano’s method where the system has three equilibria points. Most of the previous work focused their studies at the original point. A few studies demonstrated stability of dynamical systems at another equilibria points by use of conventional techniques. However, it is often unclear and based on numerical methods. This reason, motivate us to establish the stability conditions of the Lorenz system at a point which different from the origin point and compare between them. Finally, An illustrative example shows the effectiveness and feasibility of this method.
Path Analysis for Implementation Analysis Of Human Resources Information System On Human Resources Planning
Authors: Nurasiah
Published: April 2020

At present, the quality of HR decisions is highly dependent on the quality of information held and obtained. HR information should be made available to HR managers and other line managers in the company or agency so that it will facilitate decision making. In the current era of technological development, information systems are developing rapidly in support of management activities. In other words, HR information systems can get the information needed or the choices of many people who are more related to new HR planning activities. The purpose of this study is to measure the contribution of the implementation of human resource information systems to the effectiveness of human resource planning. In this paper, the analysis uses the path analysis model. The results of the analysis of the implementation of the HR information system can explain the benefits of the HR information system in the organization’s HR planning decision making.
Electronic Circuit Design of a Novel Chaotic System with Apple-Shaped Curve Equilibrium and Multiple Coexisting Attractors
Authors: Sambas A. , Sukono  , Zhang S. , Vaidyanathan S. , Hidayat Y. , Mujiarto
Published: April 2020

A new 3-D chaotic system with an apple-shaped equilibrium curve is proposed in this research work. There is great interest in the literature in discovering chaotic systems with closed curves of equilibrium points. In this work, we report a new 3-D chaotic system with an appleshaped closed curve of equilibrium points. We perform a detailed dynamic analysis of the chaotic system with bifurcation diagram, Lyapunov exponents, phase portraits, etc. We show that the new chaotic system is multi-stable with coexisting chaotic attractors. As a circuit application, we design MultiSIM electronic circuit for the new chaotic system. The MultiSIM outputs show good agreement with the MATLAB outputs for the new chaotic system.
A New 4-D Multi-Stable Hyperchaotic Two-Scroll System with No-Equilibrium and its Hyperchaos Synchronization
Authors: Vaidyanathan S. , Lien C-H , Fuadi W. , Mujiarto  , Mamat M. , Subiyanto
Published: April 2020

A new 4-D multi-stable hyperchaotic two-scroll system with four quadratic nonlinearities is proposed in this paper. The dynamical properties of the new hyperchaotic system are described in terms of finding equilibrium points, phase portraits, Lyapunov exponents, Kaplan-Yorke dimension, dissipativity, etc. We discover that the new hyperchaotic system has no equilibrium point and hence it exhibits a hidden attractor. Furthermore, we show that the new hyperchaos system has multi-stability by the coexistence of hyperchaotic attractors for different values of initial conditions. As a control application, we use integral sliding mode control (ISMC) to derive new results for the hyperchaos synchronization of the new 4-D multi-stable hyperchaotic two-scroll system with hidden attractor.
Improved Genetic Algorithm for Flow Shop Scheduling Problem at PT. XYZ
Authors: Widyawati  , Waliadi G
Published: April 2020

Scheduling according to Takeshi Yamada was an allocation of limited resources in order to do compete activity which usually applied on the operational research field where one of the examples was machine scheduling. Machine scheduling is an activity consisting of job (represent the activity) and machines (represent the resource) where each machine can process only one activity at a time. the purpose of scheduling is to perform all of the process from beginning to end with the objective to minimize makespan time. PT. XYZ is a manufacturing company that produces component for steam turbine component products in power plants. Within a year the company obtained an average of 9-10 project orders for each type of product. Because of the large number of projects that must be done, the scheduling process is becoming one of critical process in order to achieve the fastest makespan time. One way to find the fastest makespan time is by rescheduling using the methods applied in flow shop scheduling. One algorithm that can be used is the genetic algorithm. Based on the results of the research, it was found that for the process of scheduling project “A” with six machines and five jobs is makepan time of 53 days.
Text Mining and Support Vector Machine for Sentiment Analysis of Tourist Reviews in Bangkalan Regency
Authors: Imamah  , Husni  , Malasari Rachman Eka , Oktavia Suzanti Ika , Ayu Mufarroha Fifin
Published: April 2020

Tripadvisor is a travel site that offers reviews of hotels, flights, restaurants and tourist attractions. Reviews from tourists are indispensable for developing tourism, but the number of comments will complicate the owner to analyze the important aspects of the review so that the reviews should be beneficial to develop spot, overlooked or unreadable. This research aims to facilitate the owner of tourist places in the Bangkalan regency to classify negative opinion, positive opinion, and to know the target opinion using techniques sentiment analysis. The initial stage of the sentiment process analysis on this research is Web scrapping on the TripAdvisor site, the purpose of this stage to collect user review data. The review Data obtained will then be classified using the Support Vector Machine (SVM) method. Further review data classification results will be processed using the Text Mining method, to find the target opinion that is considered important in the review. Based on the research that has been done, obtained the accuracy of the classification process with SVM method of 70.22% for Indonesian-language reviews.

A post-publication change was made to this article on 20 Apr 2020 as the previously published article was a duplicate.
Mobile Expert System to Diagnose Diseases and Pests in Tobacco Using Analytical Hierarchy Process (AHP)
Authors: Syarief Mohammad , Imamah
Published: April 2020

Tobacco, also known as the money tree by the Madurese people, is a second crop after the most cultivated corn. In the process of cultivating tobacco crops, diseases and pests become a threat to the farmers to realize the desire to make a lot of money. Generally, farmers often struggle to distinguish between pests and diseases. This failure will have a significant impact on the treatment, the disease that should be washed with the drug, but because the wrong diagnosis can be solved using insecticide (pest). This research aims to facilitate farmers to obtain information, appropriately diagnose and solutions in overcoming diseases and pests in tobacco. The experts who contributed to this study are agricultural experts in the district office of Sumenep. The method used is Analytical Hierarchy Process (AHP). This method is selected because it can perform consistency tests on data, so it is expected to improve the accuracy of the diagnosis. Based on research that has been done, using 21 data symptoms of diseases and pests, as well as nine types of diseases in tobacco, obtained the accuracy value of the mobile expert system by 65%. This accuracy is achieved by comparing the diagnose results by agricultural experts with the diagnose results using the mobile expert system.
Implementation of Aircraft Productivity System to Improve Company Performance
Authors: Abas Sunarya Po. , Sudaryono  , Utami Wiranti Sri
Published: April 2020

Aircraft Productivity System (APS) is a system that is proposed to be applied to airline companies in improving company performance. The application of this system focuses on the discussion of aircraft flight data such as arrival data and flight departure data used in data processing. The purpose of this study is to build the implementation of the Aircraft Productivity System (APS) in airlines so that management can monitor the results of company performance. The method used in this study is the waterfall method which is used as a method for processing the stages of working on the system from the design stage to the final stages of system implementation. This study also uses the method of acceptance of the use of the system with the Technology Acceptance Model (TAM) used in testing the acceptance of the system of 4 respondents through several variables, namely the variable Perceived Usefulness, Perceived Ease of Use and Actual Use of the three variables will get a result that Aircraft The Productivity System is accepted with the criteria of being very agreed by the user to use the system. The results of this study are in the form of a dashboard display that displays a flight departure dashboard that contains information about the number of flight departures and a flight arrival dashboard that contains information about the number of aircraft arrivals, so that management can continue to monitor the results of the company’s performance quickly.
An Android Interactive Game to Improve Children’s Intellengence By Utylizing Brain Capabilyties And functions
Authors: Ali Syakur Muhammad
Published: April 2020

Mobile technology is developing so rapidly the types of games used in mobile devices. Ranging from brain-themed games, sports, to adventure. Android-based games can provide entertainment for players. Brain intelligence in children and even adults can be improved by playing interactive games so that the right brain can work better and function optimally. Library Studies, Game Design, Game Evaluation, Documentation Methods are ways to create Android-based game applications. Android programming language, Unity 3D tool and Blender will produce an Android-Based Interactive game which is useful for adding insight in game making. This game is played easily and interactively so that it can be played by children, teenagers and even adults. This game is played as a single player. This game can be played offline for Android 4.0-based smartphones with an attractive appearance using 3D (Three-Dimensional) graphic display.

A post-publication change was made to this article on 20 Apr 2020 as the previously published article was a duplicate.
Analysis of Determination of Strategy Promotion using Apriori Algorithm
Authors: Rachmatika Rinna , Harefa Kecitaan
Published: April 2020

Promotion is an activity or marketing idea commonly carried out by business actors to attract the attention of consumers either to introduce an item or to increase consumers so they want to buy the item. Apriori is an algorithm that can perform several itemset required by knowledge to determine the rules in making information related to determining candidates who will emerge as a result based on the support and trust determined by the analyst. The results of the analysis using the Apriori Algorithm in this study are that the 2 itemet rules that have been made can be used as a strategy for the promotion of goods based on sales transaction data. Because what is produced is high, the highest level of trust is 100%, and the lowest is 84%. Goods that have the highest trust value can be used as a promotional strategy.
E-payment for Jakarta Smart Public Transportation, Using the Point System for E-Commerce
Authors: Anwar Nizirwan , Rasjidin Roesfiansjah , Najoan Daniel Stephanus , Rolando Christopher , Tamimmanar  , Warnars Harco Leslie Hendric Spits
Published: April 2020

The ease of using transportation is one of the most critical things in the city with a significant population like Jakarta. The growth of the population in Jakarta is increased rapidly. The wage that Many transportations are causing a traffic jam in Jakarta. The government suggests that people use public transportation for their mobility. However, people choose to use their vehicles rather than public transportation. The main reason is that public transportation cannot guarantee the arriving time, whether it is on time or not. Many people move on to online transportation services. However, the massive growth of online transportation is still a contradiction as public transportation. People in Jakarta need faster mobility to go. This research is trying to make a system for public transport without any delay and hard to use it. This problem can be solved by building a new system. This system required e-wallet for payment in public transportation. This E-Wallet will search the possible route from the nearest location to the destination — only the public transport where there is a station that can use it. By using QR-Code generated by e-wallet on the mobile phone, people can scan it directly to a machine located in the station. This method will make a transaction faster than ever. Moreover, people can enjoy another feature like cashback and redeem the prize by a point system. In this era, e-commerce is dominating the market for purchasing something. This is also the attraction of the system. This system is also required excellent facilities from the government so that people can enjoy it.
The Best Selection of Programmers in Generation 4.0 Using AHP and ELECTRE Elimination Methods
Authors: Akmaludin Akmaludin , Hartati Tri , Purwanto Heru , Sukendar Toni , Latifah Fitri , Septiana Laila
Published: April 2020

The quality of data processing in information systems in the 4.0 industrial era is expected to be in the form of paperless-based digitalization, thus a number of capable and reliable users are needed in terms of data processing in the form of digitalization, the means developed can be through the internet or via smartphone-based on Android. The need for The best programmer is certainly very needed in terms of data development and processing and information delivery. This needs to be done so that the process of sending data and information can be done simply and very high speed, because the transfer of resources has been converted into digital form. The need for programmer staff must be selected consistently so that users who are accepted as the best and reliable programmers according to job requirements, from ten programmers with collaboration AHP method and ELECTRE can provide optimal decisions with the following results, programmer code P5, P6, P7 and P10 get the biggest score with weight of 3, followed by programmer code P9 with weight of 2, and followed by programmer code P1, P2, P8 with weight of 1, and there are two programmer codes which are eliminated by the ELECTRE method, P3 and P4. The collaboration in the method of Analytic Hierarchy Process (AHP) and ELECTRE Elimination which is the crystallization of the Multi-criteria Decision Making (MCDM) can be a decision support in the selection process of the best programmers to produce optimal decisions.
Appilication of K-Means algorithm to predict consumer interest according to the season on place reservation and food online software
Authors: Pasaribu J S
Published: April 2020

The background of what this report discussed is the problem on the food menu due to the unsold food menu causes that make the restaurant loose their money because of the unused food menu. In this case K-Means can be used to cluster consumer interest where the interest will be adjusted with the season. K-Means algorithm will be used in software to find consumer interest from existing sales data, in this case can be said as data mining where the data will be made and sorted by customer’s interest like summer or rainy season. The determination of these problems based on the season due to consumer interest that will be more easily to calculated when we following the season in Indonesia where Indonesia itself is a tropical country which has a diverse diet. With the grouping of data from sales data restaurant can determine the menu of food and beverages in accordance with consumer interest where the menu will be adjusted to the season in Indonesia that is summer and rainy season. And the results of data processing will be implemented on online reservation software and food reservations previously made in previous research entitled Online Food Place and Food Packages In Food Garden Miko Mall. This is intended to facilitate the restaurant to determining in the purchase settings of feed ingredients. If there is a lot of menus sold then raw materials will be reproduced and if there is a food menu that is less enthusiastic or the sale is spelled out less then the raw material will be reduced.
Bagging Technique to Reduce Misclassification in Coronary Heart Disease Prediction Based on Random Forest
Authors: Saifudin A , Nabillah U U , Yulianti  , Desyani T
Published: April 2020

Knowing the existence of coronary heart disease is very important to reduce the risk caused. Coronary heart disease is influenced by many factors, in diagnose requires complex analysis. Many proposed the application of a machine-learning algorithm to diagnose/predict coronary heart disease, but have not given perfect results (excellent). The machine learning algorithm is used to classify someone affected by coronary heart disease or not based on factors that have been determined input. The results of diagnosis/prediction are not perfect due to misclassification that is still large.to reduce misclassification, bagging techniques are proposed. The classification algorithm used in the study is Random Forest. Experimental results show that bagging techniques can reduce misclassified predictions of coronary heart disease.
Learning Innovation Using the Zahir Application in Improving Understanding of Accounting Materials
Authors: Arie Pratama F , Kaslani K , Nurdiawan O , Rahaningsih N , Nurhadiansyah N
Published: April 2020

The purpose of this study in order to innovate in accounting learning activities using zahir accounting application tools. This is done because based on observations of student learning outcomes it can be said that the level of understanding of accounting material is still low. Especially if the student’s background comes from high school from the majors of natural sciences, languages, and not from social science principles. With this learning innovation, it will be easier for lecturers to provide material so that teaching and learning activities are more centered on students who will impact on the absorption and ultimately will increase the understanding of accounting material. The method in this study uses a quasi-experimental time series design type. Population and sample using probability sampling techniques The results of this study will be used as a benchmark to improve student safety and serve as a reference for educators to be able to innovate in developing learning resources.
Implementation of Backpropagation Method for Identified Javanese Scripts
Authors: Prihandi Ifan , Ranggadara Indra , Dwiasnati Saruni , Sari Yunita Sartika , Suhendra
Published: April 2020

Literacy is one important component in a culture, one of which is Javanese culture. Javanese script is used as the main script that is used daily by most people in Central Java. Along with the development of human civilization and the expansion of global life, Javanese script began to be abandoned, even by the Javanese themselves. The use of Javanese characters is reduced because of the difficulty of learning Javanese characters themselves. Java character sets consist of basic characters, numbers, complementary characters, and so on. Javanese script is a traditional Indonesian script known as Hanacaraka or Carakan. Backpropagation is a systematic method of artificial neural networks using supervised learning algorithms and is usually used by perceptron with multiple screen layers to change the weights in the hidden layer. Text recognition application in alphabetical letters with neural networks. In the research we made, the training results of this application are good, because it can recognize letters well, the maximum characters that can be read by the application are 128 characters [Latin characters], based on ASCII code pages, this text recognition application can recognize letters and numbers, namely AZ and 0-9 with a percentage of success of up to 90%, Input characters to teach on the form train can only teach 1 character only.
A Review of Contribution and Challenge in Predictive Machine Learning Model at Financial Industry
Authors: Hermadi Irman , Nurhadryani Yani , Ranggadara Indra , Amin Ruhul
Published: April 2020

Prediction is essential one of them in the financial industry, with the prediction of this industry to be confident in determining the next steps to develop business. In the era of developing technology now, the application of machine learning to help the industry is essential, not only helps to count alone but can also help industry players to be able to predict in cases faced in the industry. In Machine Learning, financial industry players can create a credit risk analysis model based on available alternative data so that they can better manage overall risk. In this study aims to provide information on the contribution and challenges of machine learning in the financial industry and generate information on how the contributions and challenges in the application of machine learning have compiled from other researchers.
Academic Information System Architecture Planning at the Perjuangan University Tasikmalaya Using EAP
Authors: Sumaryana Yusuf , Sudiarjo Aso
Published: April 2020

The existence of Academic Information System is Not very helpful to the organization in carrying out its functions. However, systems that often solve problems, for example inaccurate student achievement index calculations. This causes the information obtained by students to be inappropriate. Because an information determines a useful information system or not. Information can be useful if the quality is good or bad. Quality information is determined by several factors, namely: Accuracy and validity, Improvement of information, Timely, Relevant [1]. Improved data and processes that must be completed require data processing tools so that it can become the expected information. This study makes the architecture of planning academic information systems at the University of Struggle Tasikmalaya with Enterprise Architecture Planning Method. The planning architecture using EAP is the answer to the solution to building a good information system.