bluuebunny/crossref_metadata_2025 huggingface dataset:
Evidence for carbon clusters present near thermal gate oxides affecting the electronic band structure in SiC-MOSFET
Authors: Dutta D. , De D. S. , Fan D. , Roy S. , Alfieri G. , Camarda M. , Amsler M. , Lehmann J. , Bartolf H. , Goedecker S. , Jung T. A.
Published: September 2019

High power SiC MOSFET technologies are critical for energy saving in, e.g., distribution of electrical power. They suffer, however, from low near-interface mobility, the origin of which has not yet been conclusively determined. Here, we present unique concerting evidence for the presence of interface defects in the form of carbon clusters at native thermally processed oxides of SiC. These clusters, with a diameter of 2–5 nm, are HF-etch resistant and possess a mixture of graphitic (sp2) and amorphous (sp3 mixed in sp2) carbon bonds different from the normal sp3 carbon present in 4H-SiC. The nucleation of such defects during thermal oxidation as well as their atomic structure is elucidated by state-of-the-art atomistic and electronic structure calculations. In addition, our property prediction techniques show the impact of the simulated carbon accumulates on the electronic structure at the interface.
Temperature driven Mott-Hubbard to charge-transfer insulator transition in hexagonal Sr0.6Ba0.4MnO3
Authors: Rawat Ritu , Jana Anupam , Panchal Gyanendra , Chowdhury Sourav , Choudhary R. J. , Phase D. M.
Published: September 2019

We have probed the electronic structure across the ferroelectric transition temperature (TC = 355 K) of hexagonal Sr0.6Ba0.4MnO3 (SBMO) which shows a magneto-electric effect at room temperature. The valence and conduction bands are characterized by resonant photoemission and X-ray absorption spectroscopy measurements, respectively. The valence band spectrum is found to be hugely modified across TC. Above TC, SBMO behaves like a Mott-Hubbard insulator, whereas at 300 K, it shows a charge-transfer-type insulator behavior. Modulation in the hybridization of Mn-3d and O-2p orbitals due to local structural variations with temperature unravels the rational for the observed electronic structure transition vis a vis magnetic and electrical behaviors of SBMO.
Complex transients of input power and electron density in pulsed inductively coupled discharges
Authors: Gao Fei , Lv Xiang-Yun , Zhang Yu-Ru , Wang You-Nian
Published: September 2019

Time-dependent studies of pulsed inductively coupled Ar and Ar/CF4 discharges are presented in this work. By using a time-resolved power diagnosis system, i.e., a Langmuir probe and a Hairpin probe, the temporal evolutions of input power and electron density are measured. In the initial pulse stage, the input power exhibits two peaks, which are related to the properties of the source and the plasma, respectively. In addition, an overshoot of the electron density is observed in the initial pulse stage at high powers (500–800 W) and low pressures (1–10 mTorr), and the overshoot becomes weaker by increasing pressure (10–80 mTorr) or decreasing input power (200–500 W). This can be explained by the dependence of the power transfer efficiency on pressure and input power, as well as the balance between the electron production and loss rates. When the power is turned off, the electron density and the input power exhibit a peak at the initial afterglow period, due to the release of charges from capacitors and inductors in the radio frequency power source. In Ar/CF4 discharges, the plasma responds to the changes in the input power more quickly than in Ar discharges, so it takes a shorter time to reach the ionization equilibrium. This may be caused by more ionization channels, larger ionization cross section, and lower ionization thresholds in Ar/CF4 plasmas.
Beam splitting of low-energy guided electrons with a two-sided microwave chip
Authors: Zimmermann R. , Weber P. , Seidling M. , Hommelhoff P.
Published: September 2019

We present a two-layer design and experimental demonstration of a chip-based electron beam splitter working for electron energies up to 200 eV. Beam splitting arises from smoothly transforming the transverse microwave guiding potential from a single-well into a double-well, thereby generating two separated output beams. We discuss future structures for coherent electron beam splitting, which would pave the way for an electron interferometer on a chip.
Enhanced thermoelectric properties through minority carriers blocking in nanocomposites
Authors: Hu Jizhu , Liu Bin , Subramanyan Harish , Li Baowen , Zhou Jun , Liu Jun
Published: September 2019

We use the Boltzmann transport equation under the relaxation time approximation to investigate the effect of minority blocking on the transport properties of nanocomposites (NCs). Taking p-type Bi0.5Sb1.5Te3 NCs as an example, we find that the thermally excited minority carriers can be strongly scattered by engineered interfacial potential barriers. Such scattering phenomena suppress the bipolar effect, which is helpful to enhance the Seebeck coefficient and reduce the electronic thermal conductivity, especially at high temperatures. Further combining with the majority carriers low-energy filtering effect, the power factor and the figure of merit (ZT) can be significantly enhanced over a large temperature range from 300 K to 500 K. Such an improvement of ZT is attributed to the majority carriers low-energy filtering effect at low temperatures and to the minority carriers blocking effect at high temperatures. A principle that is helpful to provide guidance on the thermoelectric device design is identified: (1) blocking the minority carriers as often as possible and (2) filtering the majority carriers whose energy is lower than 2–3kBT near the cold end.
Improved space charge suppression in PP/SEBS nanocomposites by controlling MgO nanoparticles with abundant surface defects
Authors: Cheng Qi , Zha Jun-Wei , Zhai Jin-Tao , Zhang Dong-Li , Bian Xingming , Chen George , Dang Zhi-Min
Published: September 2019

Polymer nanocomposite dielectrics have received extensive attention in the field of electrical materials and equipment. Studies have shown that the interface region between the nanoparticles and the polymer matrix has an important influence on the properties of nanocomposites. In this paper, MgO nanoparticles with abundant surface defects (C-MgO) containing a highly effective interface are synthesized by surface carbonization. A ternary nanocomposite is prepared by melt blending with polypropylene (PP) and styrene-(ethylene-co-butylene)-styrene tri-block copolymer (SEBS). The results showed that the size of the prepared concave nanoparticles was around 100 nm. The addition of 0.2 phr of C-MgO had the smallest charge accumulation in the PP/SEBS/C-MgO nanocomposites, which greatly reduced the electric field distortion and enhanced the charge release ability. Moreover, the DC breakdown strength was increased to 304 kV/mm, which may be due to the introduction of nanoparticles with high surface vacancy defects which provided deep traps. In addition, C-MgO nanoparticles increased the dielectric permittivity. The tensile strength and elongation at break of PP/SEBS/C-MgO composites were significantly increased, due to the rugged structure of the particles, which acted as dispersion stress centers in the polymer matrix. This work helps to develop environmental polymer nanocomposites and promotes the development and application of flexible high-voltage direct-current technology.
Testing the decline of the New Holland mouse (Pseudomys novaehollandiae) in Victoria
Authors: Burns Phoebe A.
Published: September 2019

Many Australian rodent species have become extinct or undergone substantial range contractions since European invasion. Limited and haphazard survey efforts across much of Australia mean we are unsure of many species’ current and former ranges, hampering our ability to identify and remedy causes of decline. The New Holland Mouse (NHM; Pseudomys novaehollandiae) is an endangered rodent species native to south-east Australia that is suspected of undergoing rapid and dramatic range contractions and local extinctions in recent decades. Here, I reassess the species’ distribution across Victoria using extensive survey efforts and, subsequently, provide a summation of potential key threatening processes. In only 40 years, the NHM has been lost from seven of the 12 isolated areas where it once occurred in Victoria. Habitat loss and fragmentation, invasive predators, and potentially disease and genetic inbreeding have likely contributed to the species’ rapid and continuing decline. Conservation priorities include ongoing monitoring and research, cat and fox control, exclusion of rabbit poison-baiting, targeted fire and habitat management, and reintroduction to historically occupied regions where threatening processes have been mitigated.
Article Commentary: Recommendations for Integrating Peer Mentors in Hospital-Based Addiction Care
Authors: Englander Honora , Gregg Jessica , Gullickson Janie , Cochran-Dumas Onesha , Colasurdo Chris , Alla Juliet , Collins Devin , Nicolaidis Christina
Published: September 2019

Legislators and health systems have recently begun to explore the use of peer mentors as part of hospital-based addiction teams. Integrating peers into hospitals is a complex undertaking still in its infancy. Peers’ lived experience of addiction and its consequences, combined with their distance from medical culture and hierarchy, is at the core of their power – and creates inherent challenges in integrating peers into hospital settings. Successful integration of peers in hospitals has unique challenges for individual providers, health systems, and the peers themselves. We have included peers as part of a hospital-based addiction medicine team at our hospital since 2015. In this article, we outline some unique challenges, share lessons learned, and provide recommendations for integrating peers into hospital-based SUD care. Challenges include the rigid professional hierarchy of hospitals which contrasts with peers’ role, which is built on shared life experience and relationship; different expectations regarding professional boundaries and sharing personal information; the intensity of the hospital environment; and, illness severity of hospitalized people which can be emotionally draining and increase peers’ own risk for relapse. Recommendations focus on establishing a way to finance the peer program, clearly defining the peer role, creating a home base within hospital settings, creating a collaborative and structured process for hiring and retaining peers, identifying peers who are likely to succeed, providing initial and ongoing training to peers that extends beyond typical peer certification, ways to introduce peer program to hospital staff, and providing regular, meaningful supervision. We hope that our recommendations help other hospital systems capitalize on the practical lessons learned from our experience.
Plumbagin attenuated oxygen-glucose deprivation/reoxygenation-induced injury in human SH-SY5Y cells by inhibiting NOX4-derived ROS-activated NLRP3 inflammasome
Authors: Zhang Qianrui , Zhao Sheng , Zheng Wenxia , Fu Haitan , Wu Tao , Hu Fei
Published: September 2019

Plumbagin (PLB), an alkaloid obtained from the roots of the plants of Plumbago genus, is an inhibitor of NADPH oxidase 4 (NOX4). This study aimed to investigate the beneficial effect of PLB against oxygen-glucose deprivation/reoxygenation (OGDR)-induced neuroinjury in human SH-SY5Y neuronal cultures. Our results showed that OGD/R stimulated NOX4 protein expression and reactive oxygen species (ROS) production in SH-SY5Y cells, whereas increased 4-hydroxynonenal (4-HNE) and malondialdehyde (MDA) production, resulting in the activation of the NLRP3 inflammasome. And PLB pretreatment reduced the ROS production by regulating the expression of NOX4 and downregulated NF-κB signaling which was induced by OGDR. Furthermore, PLB inhibited OGDR induced NLRP3 inflammasome activation but not PARP1. Overall, PLB improved OGDR induced neuroinjury by inhibiting NOX4-derived ROS-activated NLRP3 inflammasome.
Relativistic kinematic approach to the classical ideal gas
Authors: Ferrando Joan Josep , Sáez Juan Antonio
Published: September 2019

The necessary and sufficient conditions for a unit time-like vector field to be the unit velocity of a classical ideal gas (CIG) are obtained. In a recent paper (Coll et al 2019 Phys. Rev. D 99 084035) we have offered a purely hydrodynamic description of a CIG. Here we take one more step in reducing the number of variables necessary to characterize these media by showing that a plainly kinematic description can be obtained. We apply the results to obtain test solutions to the hydrodynamic equation that model the evolution in local thermal equilibrium of a CIG.
Influence of matrigel on the shape and dynamics of cancer cells
Authors: Ye Teng , Qiu Feng
Published: September 2019

The interaction between extracellular matrices and cancer cells plays an important role in regulating cancer cell behaviors. In this article, we use matrigel to mimic extracellular matrices and investigate experimentally how matrigel influences the shape and dynamics of breast cancer cells (MDA-MB-231-GFP cells). We find that matrigel facilitates cancer cells’ migration and shape deformation. The influences of the matrigel concentration are also reported.
Interface properties and electronic structures of aromatic molecules with anhydride and thio-functional groups on Ag (111) and Au (111) substrates*
Authors: Yu Wei-Qi , Xiao Hong-Jun , Wang Ge-Ming
Published: September 2019

First-principles calculations for several aromatic molecules with anhydride and thio groups on Ag (111) and Au (111) reveal that the self-assembly structures and the interface properties are mainly determined by the functional groups of aromatic molecules. Detailed investigations of the electronic structures show that the electrons in molecular backbone are redistributed and charge transfer occurs through the bond between the metal and the functional groups after these molecules have been deposited on a metal substrate. The interaction between Ag (111) (or Au (111)) and aromatic molecules with anhydride functional groups strengthens theπbonds in the molecular backbone, while that between Ag (111) (or Au (111)) and aromatic molecules with sulfur weakens theπbonds. However, the intrinsic electronic structures of the molecules are mostly conserved. The large-sized aromatic backbone has less influence on the nature of electronic structures than the small-sized one, either at the interface or at the molecules. These results are useful to build the good metal–molecule contact in molecule-based devices.
Magnetic vortex gyration mediated by point-contact position*
Authors: Li Hua-Nan , Fan Zi-Wei , Li Jia-Xin , Hu Yue , Liu Hui-Lian
Published: September 2019

Micromagnetic simulation is employed to study the gyration motion of magnetic vortices in distinct permalloy nanodisks driven by a spin-polarized current. The critical current density for magnetic vortex gyration, eigenfrequency, trajectory, velocity and the time for a magnetic vortex to obtain the steady gyration are analyzed. Simulation results reveal that the magnetic vortices in larger and thinner nanodisks can achieve a lower-frequency gyration at a lower current density in a shorter time. However, the magnetic vortices in thicker nanodisks need a higher current density and longer time to attain steady gyration but with a higher eigenfrequency. We also find that the point-contact position exerts different influences on these parameters in different nanodisks, which contributes to the control of the magnetic vortex gyration. The conclusions of this paper can serve as a theoretical basis for designing nano-oscillators and microwave frequency modulators.
Reducing the power consumption of two-dimensional logic transistors
Authors: Li Weisheng , Ning Hongkai , Yu Zhihao , Shi Yi , Wang Xinran
Published: September 2019

The growing demand for high-performance logic transistors has driven the exponential rise in chip integration, while the transistors have been rapidly scaling down to sub-10 nm. The increasing leakage current and subthreshold slope (SS) induced by short channel effect (SCE) result in extra heat dissipation during device operation. The performance of electronic devices based on two-dimensional (2D) semiconductors such as the transition metal dichalcogenides (TMDC) can significantly reduce power consumption, benefiting from atomically thin thickness. Here, we discuss the progress of dielectric integration of 2D metal–oxide–semiconductor field effect transistors (MOSFETs) and 2D negative capacitance field effect transistors (NCFETs), outlining their potential in low-power applications as a technological option beyond scaled logic switches. Above all, we show our perspective at 2D low-power logic transistors, including the ultra-thin equivalent oxide thickness (EOT), reducing density of interface trap, reliability, operation speed etc. of 2D MOSFETs and NCFETs.
Revisit of the band gaps of rutile SnO2 and TiO2: a first-principles study
Authors: Cai Xuefen , Zhang Peng , Wei Su-Huai
Published: September 2019

From the recent experimentally observed conduction band offset and previously reported band gaps, one may deduce that the valence band offset between rutile SnO2 and TiO2 is around 1 eV, with TiO2 having a higher valence band maximum. This implication sharply contradicts the fact that the two compounds have the same rutile structure and the Γ3
+ VBM state is mostly an oxygen p state with a small amount of cation d character, thus one would expect that SnO2 and TiO2 should have small valence band offset. If the valence band offset between SnO2 and TiO2 is indeed small, one may question the correctness of the previously reported band gaps of SnO2 and TiO2. In this paper, using first-principles calculations with different levels of computational methods and functionals within the density functional theory, we reinvestigate the long-standing band gap problem for SnO2. Our analysis suggests that the fundamental band gap of SnO2 should be similar to that of TiO2, i.e., around 3.0 eV. This value is significantly smaller than the previously reported value of about 3.6 eV, which can be attributed as the optical band gap of this material. Similar to what has been found in In2O3, the discrepancy between the fundamental and optical gaps of SnO2 can be ascribed to the inversion symmetry of its crystal structure and the resultant dipole-forbidden transitions between its band edges. Our results are consistent with most of the optical and electrical measurements of the band gaps and band offset between SnO2 and TiO2, thus provide new understanding of the band structure and optical properties of SnO2. Experimental tests of our predictions are called for.
Improvement of K-Means Performance Using a Combination of Principal Component Analysis and Rapid Centroid Estimation
Authors: Sapriadi  , Sutarman  , Nababan E B
Published: September 2019

K-Means is a simple clustering algorithm, this method starts with randomizing partitions and continuing to reassign samples to clusters based on similarities between data. However, the K-Means method has several disadvantages, including determining the initial cluster center value done randomly, and the distance model used in determining the similarity between data where conventional distance models have the same effect on each data attribute. In this study will try to improve the performance of K-Means by using a combination of Principal Component Analysis (PCA) and Rapid Centroid Estimation (RCE). PCA will determine the weight of each attribute data based on eigen value, and RCE is used to determine the beginning of the cluster center. To see the performance of the proposed method, this research will use 3 datasets obtained from the UCI Repository, including ionosphere, iris, and wine. Analysis of the performance of the proposed method is only measured based on MSE and SSE. The results of this study indicate that the PCA and RCE methods were able to improve the performance of K-Means, the highest performance improvement based on MSE was found in iris data, which amounted to 56.76%, while based on SSE occurred in the ionosphere data which was 86.08%.
The Use of Multiple MP3 Audio Files for Additional Steganography Capacity
Authors: Indrayani R , Nugroho H A , Hidayat R , Ariyus Dony , Pristyanto Y
Published: September 2019

Steganography is the science and art of hiding secret messages in such a way so that the existence of messages is undetected by human senses. In this paper, multiple MP3 files are used as cover with the aim of increasing steganographic capacity without limiting the number of used files. Concealing secret messages in the form of files on the MP3 file cover can be performed by using homogenous frame. Homogeneous frames in the MP3 files store the bits of the inserted secret files. Before being inserted into some MP3 cover files, secret files are first encrypted employing AES algorithm with passwords implicated by MD5 processes. Audio quality changes between steganography MP3 files and original MP3 files are measured by using stereo signal strength and Mean Opinion Score (MOS). The test results show that the distribution of steganography load on multiple MP3 files can fulfill the user’s needs for the capacity of steganography without reducing the quality of used MP3 files. This paper proposed a method about the increase of steganography capacity which is capable to insert and retrieve secret files on multiple MP3 audio files using homogenous frame utilization methods without resizing and reducing the quality of used MP3 files.
Analysis of Accuracy K-Means and Apriori Algorithms for Patient Data Clusters
Authors: Dharshinni N P , Azmi Fadhillah , Fawwaz I , Husein A M , Siregar Saut Dohot
Published: September 2019

The stacking data is usefull to get a new information. Data mining is a methode to determine the important pattern in Frequent Itemset Mining (FIM). Apriori is part of association rule that is used to determine the assosiative relationship in items combination. But apriori has a high computational time weakness because frequent itemset process searching must scan the database repeatedly for each itemset combination. This study aims to see the effect of the k-means clustering algorithm on the apriori algorithm by combining these two algorithms. The test results show that the combination of k-means and apriori algorithms produces more information detaily and faster time computating than the apriori algorithm with a total computing time of 21.93 minutes and a combination of k-means and apriori algorithms 17.41 minutes.
Analysis and Information System Planning Of Material Requirement Planning Web
Authors: Martyani Eka , Rohayani Hetty , Kurniawan Edy , Febrianti Harlia
Published: September 2019

Many companies that have utilised sophistication system and information With Material Requirement Planning, each work unit can be well coordinated so that it can improve the operational efficiency of each work unit in the company. with this MRP can help to avoid shortages and delays in production, and can immediately identify the amount of inventory needs and transaction costs as well as the accuracy of the use of materials needed so that the warehouse can take appropriate action to meet the specified deadline for transaction costs or usage spare parts, stock of spare parts in the warehouse, and the results of calculating the total spare parts inventory listed on the information material plan needed for the future
Fluorescence Spectra Measurement of Essential Oils
Authors: Perangin-angin Bisman , Tarigan Kerista , Tamba Takdir
Published: September 2019

Identifying materials using fluorescence spectroscopy methods have several advantages including fast, accurate, and relatively low cost. This method is used not only to identify the material but also to detect whether the material is still pure or not. The purity of patchouli oil has been identified by observing and analyzing the fluorescence spectrum (λabs = 509 nm, λeks = 542nm). The observations were made for pure and mixed (impure) patchouli oil, respectively. By comparing the two data, the patchouli oil is distinguished and the contained mixture is determined. The measurement results show that the mixture oil spectrum is indicated by a shift in the maximum wavelength (λem, max) of fluorescence emissions. Nevertheless, the intensity of the fluorescence beam is change.
Floor Slab Analysis (Case Study: One Residence Apartment Batam Center)
Authors: Astutik Yayuk Setyaning
Published: September 2019

Reinforced concrete slab are widely used in civil buildings, including as building floors, roof floors, bridge floors and dock floors. The load acting on the slab is generally calculated against gravitational loads. This study aims to analyse floor slab in One Residence Batam Center Apartment Construction Project. The moment method is used to predict the magnitude of frame and shrinkage values that refer to 2002 of SNI. Loading is carried out from dead loads and live loads with a two-way reinforcement system. Reinforcement is done using steel with a diameter of 10 mm. So that the minimum area is 313 mm square with a distance of 250 mm and is in the safe category. From the calculation results obtained the concrete elastic modulus obtained by 250 MPa with a reinforcement ratio of 0.0025. Checking the time dependency factor for dead loads is carried out within 3 months, 6 months, 12 months and more than 5 years. Long-term deflection due to frame and shrinkage is still in the safe category.
Improve productivity in production part using marvin e mundel method
Authors: Tampubolon J , Sembiring A C , angin R Perangin
Published: September 2019

Competition between companies is very high resulting in companies having to implement production plans so that productivity does not decrease. This is the case with palm oil mills which often experience engine failure resulting in reduced productivity in the company. To examine the problem, it is necessary to measure productivity in the company and design proposals that must be done by the company. In the past data, the company experienced a total productivity index of 71.77% so it is necessary to do a design of engine maintenance proposals so that the time of stagnation can be reduced and the productivity index can increase. After the productivity index is implemented, the lowest total productivity index increases to 161.97% after doing maintenance design, the productivity of the company can increase by 50%.
Determining credit term strategy of textile industry
Authors: Aloina Grace , Sembiring Anita Christine , Budiman Irwan , Pebrina Tarigan Uni Pratama , Saragih Koko Pratama , Siahaan Uke
Published: September 2019

Textile industry is an industry that produces the yarn into fabric with 100% raw material of synthetic polyester that is recycled. This research is conducted based on the issue in company. The decreasing in sales at retailer sector is the concern of the company. The analysis of the problem is by doing survey marketing mix effect (7P). The result of this survey shows the factors such as products, people, processes, and the price are significant in influencing the buying decision of the products. Components on the pricing strategy that dominance affected is credit policies. For that, the authors propose a strategy in credit term policy. An analysis is conducted with a comparison between the previous policies of the proposed credit policy. The method used is Sartoris-Hill Model referring to the feasibility NPV. This feasibility of this proposal requires working capital amount Rp 11,945,074,622.
Expert System Diagnosis Corn Pests And Diseases Using Certainty Factor Method
Authors: Sulindawaty  , Zarlis Muhammad , Situmorang Zakarias , Sihotang Hengki Tamando
Published: September 2019

The development of technology has been very significant, not only in the fields of information, industry, education, but in agriculture. Therefore technological sophistication is also utilized by corn farmers to obtain information about corn crops. Corn is included in plantation commodities in Indonesia. However, in corn cultivation there are various problems associated with the disease that is likely to attack the plant. Therefore, the authors designed the expert system of corn disease diagnosis using certainty method. This system will analyze based on symptoms - symptoms that are in the input by the user so that in obtaining a result of disease identification on corn in the name of the disease, the cause of the disease, the percentage value and how to handle it. This expert system is developed by using the visual basic application and Microsoft Access database with Certainty Factor method to measure the value of certainty of a hypothesis against a fact.
Analysis and Design Information System Development of IT Care Application in Astra Credit Company
Authors: Sari Y , Egeten A E , Suherman R E , Fakhri H R
Published: September 2019

Business competition that keep intensify in automotive financing services provider field encourages all companies involved to continue improving themselves in order to competing with other companies, one of the ways is to utilize Information Technology (IT). Astra Credit Company (ACC) is one of automotive financing service provider which has already applied IT. As a big company, the large scale of the utilization of IT in ACC also raised the need for managing the IT Helpdesk. Currently ACC already uses an application to support IT Helpdesk business process called IT Care. But as the development of business process and the changing needs of the company, the system is no longer able to support business process needs. Based on those needs this research was conducted to develop system design that can meet current business needs. Design and analysis process done through System Development Life Cycle methodology with Object Oriented Analysis and Design approach using Unified Model Language diagram. System analysist and design activities developed several processes i.e. Chart Of Account management based with time estimation, ticket submission, ticket assignment with consideration of staff balancing work load, completion ticket based on priority, also reporting of IT staff performance and ticket completion. Conclusions from the results of the analysis and design of IT Care systems are a proposed IT Care system design that is expected to overcome the problems in the existing IT Care system.
Future Electronics Payment System Model
Authors: Selfira  , Abdillah Gabriel , Harahap Wintari , Muda Iskandar
Published: September 2019

This paper aims to know information about the differences of Future Electronics Payment System Model. We describe various systems of electronic payment services, security issues related to them and the future of the mobile payment mode and overview of e-money. Payment systems using e-money is a process of modernization of the payment system that is safe, convenient, and easy which has been developed in several countries in the world. Electronic Money is essentially cashless money. Its function is a non cash payment instrument to merchant not to the issuer of electronic money. The data used is secondary data form Bank of Indonesia Report in 2011-2017. This type of paper is comparative method. Data analysis used is non parametric of Analysis of Variance (ANOVA). The findings show that therea are significant differences for each type of payment model. This is indicated that there are significant differences for each type of payment model and the payment system using e-money is predicted will grow up fo the future. Payment systems using e-money is a process of modernization of the payment system that is safe, convenient, and easy which has been developed in several countries in the world.
Book data grouping in libraries using the k-means clustering method
Authors: Tamba Saut Parsaoran , Batubara M Diarmansyah , Purba Windania , Sihombing Maria , Mulia Siregar Victor Marudut , Banjarnahor Jaidup
Published: September 2019

Clustering is a process of sorting out a data set to become separate cluster groups and each has similarities, and aims to group the data into one cluster. This research aims to group the book information which is contained in Universitas Prima Indonesia, by using K-means clustering method. On this K-means clustering algorithm, the variables used as input are : NIM, Name, Book Title and Author. The output produced consists of 3 clusters, those are (C1) the most frequently borrowed book, (C2) book that is often borrowed, and (C3) book that is rarely borrowed. With the use of this K-means Clustering method, the final result obtained consists of member of cluster 1 as many as 19 members, member of cluster 2 as many as 22 members, and member of cluster 3 as many as 19 members. The information of grouping this book data can be used by the library. In the case of the selection of books that must be added to the library and to minimize the books that are rarely borrowed so as not to cause a buildup of books that are rarely borrowed, so there is a space for books to be added into the library.
Determining Outstanding Employee Using Simple Multi-Attribute Rating Technique Method
Authors: Sihombing Oloan , Hanoso Giovani Ruth , Laia Yonata , Maulana Halim , Tamba Saut Parsaoran , Nababan Marlince N.K , Indra Evta , Batubara M Diarmansyah , Zendrato Niskarto
Published: September 2019

Employees are one of the resources used as a means of movement in promoting a company. Employee performance is highly influential on the profits obtained by the company. Therefore, to stimulate employee performance in selecting outstanding employees each period by providing additional bonuses or salaries for selected employees. However, because the process of evaluating and selecting outstanding employees carried out by managers of Human Resource Development (HRD) still uses a conventional system and takes a lot of time, so a decision support system is needed to evaluate the performance of HRD managers to be more effective and efficient while saving time and energy compared to the current system. For this reason, the author proposes a decision support system and was used to determine outstanding employee by using the simple multi-attribute rating technique (SMART) method. The Decision Support System Application applies the SMART method to help decision maker to determinate the outstanding employee and based on the table above, it was concluded that the employee recommended as an outstanding employee is employee C with the highest final score of 66.20.
A review on opportunities of thermionic regeneration system in hybrid electric vehicle
Authors: Kodihal K , Sagar A
Published: September 2019

A hybrid electric vehicle utilizes power from both engine and battery to drive the wheels. Hybrid electric vehicle architectures are micro, mild, full and plug in hybrids. This review covers recent optimization in technologies and systems of hybrid electric vehicle. It is evident from the literature that utilizing waste energy such as braking losses for battery charging is more effective for micro and mild hybrid electric vehicle. The increase in electrification increases the demand of alternate battery charging methods in vehicle. Therefore, the opportunity lies in recovering waste heat of engine for battery charging. This could be done by direct energy converters such as thermoelectric and thermionic converters. The paper comprehensively studies these direct energy converters on the basis of their working principle and conversion efficiencies. The results from this study show that thermionic energy conversion stands better for hybrid electric vehicles as compared with other direct energy conversion methods.
Research of Injection Molding Parameters with Acrylonitrile Butadiene Styrene Composition Recycled Against Mechanical Properties
Authors: Wibowo E A , Sukarnoto T , Wibowo Y T
Published: September 2019

Injection molding is the most common method for mass manufacturing plastics product. The process is influenced by injection parameters, i.e.: melting temperature, injection pressure and holding pressure. The recycled material of ABS combined with pure material on 10%:90%, 20%:80% and 30%:70%. Both can affect the mechanical properties as evidenced by tensile and impact test. The ability to resist the load of tensile is obtained from the yield point, whereas the ability to resist the load of the impact is obtained from the potential energy that be able to be received. Based on the best parameters, the optimal value is generated from 10% ABS recycled, i.e. 45,87 [J] for impact strength and 34,08 [N/mm2] for tensile strength, then the optimal value is generated from 20% ABS recycled, i.e. 45,40 [J] for impact strength and 34,40 [N/mm2] for tensile strength, and then the optimal value is generated from 30% ABS recycled, i.e. 45,17 [J] for impact strength and 34,80 [N/mm2] for tensile strength.
Effects of epoxidised natural rubbers on cure characteristics and crosslink density of silica-filled natural rubber composite
Authors: Surya I , Alfian Z
Published: September 2019

The effect of two grades of epoxidised natural rubbers (ENR 25 and ENR 50), having 25 and 50 mol of epoxidation, on crosslink density and cure characteristics of silica-filled natural rubber (NR) composites were investigated using a semi-efficient vulcanisation system. The ENRs were incorporated separately into the composites at 5.0, 10.0, 15.0, 20.0 and 25.0 parts per hundred rubber (phr). An investigation was carried out to examine the effects of the ENRs on cure characteristics and crosslink density of the silica-filled NR composites. Results revealed that both ENR 25 and ENR 50 functioned as curatives and compatibilizers. They increased the scorch time, cure time, torque difference and crosslink density. The higher the ENRs loadings; the higher were the scorch, cure times, torque difference and crosslink density. At a similar loading, ENR 50 exhibited a more pronounced curative and compatibilization effects than ENR 25.
Development photocatalyst reduce graphene oxide (RGO) composited with (Zn,Ni)(O,S) for photocatalytic hydrogen production
Authors: Gultom Noto Susanto , Abdullah Hairus , Kuo Dong-Hau , Simamora Pintor , Sirait Makmur
Published: September 2019

Hydrogen is being considered as the green and renewable fuels in the near future to replace the high global energy demands on fossil fuels. In this work, the photocatalyst reduce graphene oxide (RGO) composited (ZnNi)(O,S) with different amount of RGO has been developed for photocatalytic hydrogen production. X-ray did not show any characteristic peak of RGO due to a little amount in nanocomposite catalyst. However, elemental mapping clearly exhibited the presence of carbon as the element constituent of RGO. Based on the EIS result, RGO could decrease the charge transfer resistance to let the photogenerated electrons-holes easily migrate on the surface of catalyst for executing oxidation and reduction reactions. The optimum amount of RGO was 5 mg to provide the highest hydrogen production rate of 8100 μmol/gh. The enhanced hydrogen production rate was investigated and explained in this paper.
Analysis of PROMETHEE II Method on Selection of Lecturer Community Service Grant Proposals
Authors: Ningsih Sri Rahayu , Wulansari Riyani , Hartama Dedy , Windarto Agus Perdana , Wanto Anjar
Published: September 2019

This study aims to determine the recipient lecturers of the service to the internal community at STIKOM Tunas Bangsa. The data were obtained from the archive of the Institute for Research and Service to the Tunas Bangsa STIKOM Community in 2017 and conducted interviews with the Chairperson of the Institute. The alternatives used are 6, namely Situation Analysis (C1), Partner prioritization problems and solutions offered (C2), output targets (C3), accuracy of approach methods to overcome problems, activity plans, partner participation contributions (C4), college feasibility (C5), the cost of work for the feasibility of the proposed cost (C6). The method used in the research of the PROMETHEE II Method. From the results of the study obtained 5 alternatives selected lecturers who received internal service grants, namely: A1 (Net flow 13.79), A5 (Net flow 7.23), A2 (Net flow 7.16), A6 (Net flow 6.29), A3 (Net flow 2.08) of 9 Alternatives. The implementation of the PROMETHEE II method is expected to provide an objective assessment and to compare the results of the reviewer’s assessment in determining the recipients of internal service grants. So that it is expected that the decisions given can maintain the quality and quality of the assessment.
The Analysis of the ELECTREE II Algorithm in Determining the Doubts of the Community Doing Business Online
Authors: Alkhairi Putrama , Purba Ledis Pebriani , Eryzha Anggy , Windarto Agus Perdana , Wanto Anjar
Published: September 2019

Online businesses are no stranger to the community where online businesses are increasingly in demand by the public because of the various supporting factors in which the public does not need to plunge into places to buy the desired items simply through online media but the lively online media in the community cannot be separated from various frauds. Other business people are still many who are reluctant to switch to online business that is inseparable from various factors or reasons they still stick with the old business method. It is very easy to play online recently in various circles of students and even housewives, can be used as additional capital. To find out what factors are the main reason people still hesitate to do business with online methods realized by the application of a decision support system determines the doubts of the online business community with the ELECTRE II method. It is hoped that research can find factors that cause public doubt in online business, so that later the output of this system can be a good evaluation material for the community in doing business. ELECTRE II method can be applied in the case of determining the failure factor of students in the main subject of community doubt in online business by considering several alternatives and criteria. Which alternatives are Cost Expenses (A1), Faced Risks (A2), and Difficult / Doubt to start the business to be run (A3). Data taken from the questionnaire respondents to STIKOM Tunas Bangsa Pematangsiantar students. From the results of this study, it was concluded that (A1) Cost Expenses with a value of 1.0238. For further research, criteria and alternatives can be added, so that the data entered is more varied. In addition, the ELECTRE II method can be compared with other methods. Research as a recommendation for business people who want to enter the world of online business.
Predictions of World Population Life Expectancy Using Cyclical Order Weight / Bias
Authors: Zamzamy Sormin Mhd. Khafiroh , Sihombing Poltak , Amalia A. , Wanto Anjar , Hartama Dedy , Chan Defri Muhammad
Published: September 2019

Life expectancy is the average number of years of life that is still lived by someone who has reached a certain age. Life Expectancy is a tool to evaluate government performance in improving the welfare of the population in general and improving health status in particular. The purpose of this paper is to estimate the life expectancy of the world population so that the government has a benchmark in determining policies to further improve the health and health of the people in their respective countries. The estimation stated in this paper will use the Cyclical Order Weight Neural Network method. The data used in this paper is the number of world population expectations. Data sources come from the United Nations: “World Population Prospect: The 2010 Revision Population Database”. The results of this study are expected to be a reference for the governments of each country to pay more attention to the level of health and welfare of its population so that the life expectancy of the population will be higher. This study uses 5 architectural models. Of these 5 models, the best architectural model is 3-5-10-1 with an accuracy of 97% and an MSE value of 0,0008358919.
Increase Security of IoT Devices Using Multiple One Time Password
Authors: Zendrato Niskarto , Zarlis M , Efendi Syahril , Barus E S , Sulindawaty  , Fahmi Hasanul
Published: September 2019

Lately more IoT use of devices both used at home, disaster prone, hospitals, highways and government agencies and many other places that use IoT device for data acquisition in realtime therefore the authors want to examine the security of IoT devices that is increasingly being used by utilizing OTP codes sent by smartphone devices or GSM modules to keep IOT devices from people who want to exploit the IoT device.
An Optimal Decision Model to Determine the Location of Hubs in a Network of Communication
Authors: Rakhmawati Fibri , Suwilo Saib , Sutarman  , Zarlis M.
Published: September 2019

The hub location, regarded as a special variant of facility location problem. can be defined as an assignment problem of locating hubs and assigning the terminal nodes to these hubs. The objective is to minimize the cost of hub installation and the cost of routing the traffic in the communication network. There may also be capacity restrictions on the amount of traffic that can transit by hubs. This paper discusses how to model the polyhedral properties of the problems and develop a feasible neighbourhood search method to solve the model.
The extended nested-error regression model with penalized spline function for estimation under informative sampling
Authors: Chytrasari A N R , Kartiko Sri Haryatmi , Danardono
Published: September 2019

Model-based estimates have been developed in statistics. Often, the statisticians use the data that obtained through complex sampling designs for estimation. If the probability of inclusion in the sampling design is informative, then the informativeness of sampling must be taken into account in the estimation process. We extended the nested error regression model at the unit level by adding the probability of inclusion as a covariate in the model but with an unknown functional form to reduce the informativeness effect. This extended part in the model is then approached using a penalized spline function. In the mixed model framework, we derived the EBLUP estimator for the mean areas of population. A simulation is given to applying this approach by using the first order of the p-spline function. The RMSPE value and the average absolute bias value obtained through the use of the bootstrap method then compared with that results from the approach using the nested error regression model.
Decision Support System for Teacher Performance Assessment of SMK Nusantara 1 Ciputat Based on AHP and TOPSIS
Authors: Hafizah Husnul , Napitupulu Darmawan , Adiyarta Krisna , Windarto Agus Perdana
Published: September 2019

SMK Nusantara 1 Ciputat is a vocational high school that has seven vocational schools including: Multimedia, Software Engineering, Computer and Network Engineering, Marketing, Accounting, Catering and Hospitality Services. To improve the quality of education in schools, principals are required to know information about the performance of educators in their schools. At present, the Ciputat 1 Vocational School principal has difficulty in making decisions on teacher performance appraisal because there is no weighting on teacher performance appraisal competencies that refer to Minister of National Education Regulation 16/2007 concerning Academic Qualification Standards and Teacher Competencies. Therefore, the AHP method is used to determine the weight of teacher competency and TOPSIS is used to produce a ranking on teacher alternatives according to the weight of the competencies determined by the AHP method. The results of weighting teacher competency with the AHP method have tested the consistency of the ratio of 0.088, this value is said Consistent because it is still below 0.1. Based on the weighting of the teacher’s competency, an alternative ranking is obtained in the assessment of teacher performance using the TOPSIS method with the highest teacher’s alternative value of 0.8052.