bluuebunny/crossref_metadata_2025 huggingface dataset:
Electronic and magnetic properties of CrI3 nanoribbons and nanotubes*
Authors: Wang Ji-Zhang , Huang Jian-Qi , Wang Ya-Ning , Yang Teng , Zhang Zhi-Dong
Published: July 2019

CrI3 in two-dimensional (2D) forms has been attracting much attention lately due to its novel magnetic properties at atomic large scale. The size and edge tuning of electronic and magnetic properties for 2D materials has been a promising way to broaden or even enhance their utility, as the case with nanoribbons/nanotubes in graphene, black phosphorus, and transition metal dichalcogenides. Here we studied the CrI3 nanoribbon (NR) and nanotube (NT) systematically to seek the possible size and edge control of the electronic and magnetic properties. We find that ferromagnetic ordering is stable in all the NR and NT structures of interest. An enhancement of the Curie temperature T
C can be expected when the structure goes to NR or NT from its 2D counterpart. The energy difference between the FM and AFM states can be even improved by up to 3–4 times in a zigzag nanoribbon (ZZNR), largely because of the electronic instability arising from a large density of states of iodine-5p orbitals at E
F. In NT structures, shrinking the tube size harvests an enhancement of spin moment by up to 4%, due to the reduced crystal-field gap and the re-balance between the spin majority and minority populations.
Topology of triple-point metals*
Authors: Winkler Georg W , Singh Sobhit , Soluyanov Alexey A
Published: July 2019

We discuss and illustrate the appearance of topological fermions and bosons in triple-point metals where a band crossing of three electronic bands occurs close to the Fermi level. Topological bosons appear in the phonon spectrum of certain triple-point metals, depending on the mass of atoms that form the binary triple-point metal. We first provide a classification of possible triple-point electronic topological phases possible in crystalline compounds and discuss the consequences of these topological phases, seen in Fermi arcs, topological Lifshitz transitions, and transport anomalies. Then we show how the topological phase of phonon modes can be extracted and proven for relevant compounds. Finally, we show how the interplay of electronic and phononic topologies in triple-point metals puts these metallic materials into the list of the most efficient metallic thermoelectrics known to date.
High quality NbTiN films fabrication and rapid thermal annealing investigation*
Authors: Ge Huan , Jin Yi-Rong , Song Xiao-Hui
Published: July 2019

NbTiN thin films are good candidates for applications including single-photon detector, kinetic inductance detector, hot electron bolometer, and superconducting quantum computing circuits because of their favorable characteristics, such as good superconducting properties and easy fabrication. In this work, we systematically investigated the growth of high-quality NbTiN films with different thicknesses on Si substrates by reactive DC-magnetron sputtering method. After optimizing the growth conditions, such as the gas pressure, Ar/N2 mixture ratio, and sputtering power, we obtained films with excellent superconducting properties. A high superconducting transition temperature of 15.5 K with narrow transition width of 0.03 K was obtained in a film of 300 nm thickness with surface roughness of less than 0.2 nm. In an ultra-thin film of 5 nm thick, we still obtained a transition temperature of 7.6 K. In addition, rapid thermal annealing (RTA) in atmosphere of nitrogen or nitrogen and hydrogen mixture was studied to improve the film quality. The results showed that T
c and crystal size of the NbTiN films were remarkably increased by RTA. For ultrathin films, the annealing in N2/H2 mixture had better effect than that in pure N2. The T
c of 10 nm films improved from 9.6 K to 10.3 K after RTA in N2/H2 mixture at 450 °C.
Evolution of incommensurate superstructure and electronic structure with Pb substitution in (Bi2−xPbx)Sr2CaCu2O8+δ superconductors*
Authors: Liu Jing , Zhao Lin , Gao Qiang , Ai Ping , Zhang Lu , Xie Tao , Huang Jian-Wei , Ding Ying , Hu Cheng , Yan Hong-Tao , Song Chun-Yao , Xu Yu , Li Cong , Cai Yong-Qing , Rong Hong-Tao , Wu Ding-Song , Liu Guo-Dong , Wang Qing-Yan , Huang Yuan , Zhang Feng-Feng , Yang Feng , Peng Qin-Jun , Li Shi-Liang , Yang Huai-Xin , Li Jian-Qi , Xu Zu-Yan , Zhou Xing-Jiang
Published: July 2019

High-quality Bi2−x
Pb
x
Sr2CaCu2O8+δ
(Bi2212) single crystals have been successfully grown by the traveling solvent floating zone technique with a wide range of Pb substitution (x = 0–0.8). The samples are characterized by transmission electron microscope (TEM) and measured by high resolution laser-based angle-resolved photoemission spectroscopy (ARPES) with different photon energies. A systematic evolution of the electronic structure and superstructure with Pb substitution has been revealed for the first time. The superstructure shows a significant change with Pb substitution and the incommensurate modulation vector (

Q

) decreases with increasing Pb substitution. In the meantime, the superstructure intensity from ARPES measurements also decreases dramatically with increasing Pb concentration. The superstructure in Bi2212 can be effectively suppressed by Pb substitution and it nearly disappears with a Pb substitution of x=0.8. We also find that the superstructure bands in ARPES measurements depend sensitively on the photon energy of lasers used; they can become even stronger than the main band when using a laser photon energy of 10.897 eV. These results provide important information on the origin of the incommensurate superstructure and its control and suppression in bismuth-based high temperature superconductors.
Direct observation of the f–c hybridization in the ordered uranium films on W(110)*
Authors: Chen Qiuyun , Tan Shiyong , Feng Wei , Luo Lizhu , Zhu Xiegang , Lai Xinchun
Published: July 2019

A key issue in metallic uranium and its related actinide compounds is the character of the f electrons, whether it is localized or itinerant. Here we grew well ordered uranium films on a W(110) substrate. The surface topography was investigated by scanning tunneling microscopy. The Fermi surface and band structure of the grown films were studied by angle-resolved photoemission spectroscopy. Large spectral weight can be observed around the Fermi level, which mainly comes from the f states. Additionally, we provided direct evidence that the f bands hybridize with the conduction bands in the uranium ordered films, which is different from previously reported mechanism of the direct f–f interaction. We propose that the above two mechanisms both exist in this system by manifesting themselves in different momentum spaces. Our results give a comprehensive study of the ordered uranium films and may throw new light on the study of the 5f-electron character and physical properties of metallic uranium and other related actinide materials.
Coercivity mechanisms in nanostructured permanent magnets*
Authors: Zhao G P , Zhao L , Shen L C , Zou J , Qiu L
Published: July 2019

Coercivity mechanism in permanent magnets has been debated for many years. In this paper, various models of the coercivity mechanism are classified and re-examined by the comparison and contrast. Coherent rotation and curling models can reveal the underlying reversal mechanism clearly based on isolated grains with elliptic shapes. By contrast, the numerical methods consider inter-grain interactions while simulating the evolution of the spins and hysteresis loops with complicated shapes. However, an exact simulation of magnetic reversal in permanent nanomagnets requires many meshes to mimic the thin domain wall well.

Nucleation and pinning are the two main coercivity mechanisms in permanent magnets. The former signifies the beginning of the magnetic reversal, whilst the latter completes it. Recently, it is proposed that the large difference between the intrinsic magnetic properties of the nucleation centers and those of the main phase can result in a large pinning field (self-pinning), which has the attributes of both traditional nucleation and pinning. Such a pinning explains the experimental data of permanent magnets very well, including the enhancement of the coercivity by the grain boundary pinning.
Annealing-enhanced interlayer coupling interaction in GaS/MoS2 heterojunctions*
Authors: Meng Xiuqing , Chen Shulin , Fang Yunzhang , Kou Jianlong
Published: July 2019

Fabrication of large-area atomically thin transition metal dichalcogenides is of critical importance for the preparation of new heterojunction-based devices. In this paper, we report the fabrication and optical investigation of large-scale chemical vapor deposition (CVD)-grown monolayer MoS2 and exfoliated few-layer GaS heterojunctions. As revealed by photoluminescence (PL) characterization, the as-fabricated heterojunctions demonstrated edge interaction between the two layers. The heterojunction was sensitive to annealing and showed increased interaction upon annealing at 300 °C under vacuum conditions, which led to changes in both the emission peak position and intensity resulting from the strong coupling interaction between the two layers. Low-temperature PL measurements further confirmed the strong coupling interaction. In addition, defect-related GaS luminescence was observed in our few-layer GaS, and the PL mapping provided evidence of edge interaction coupling between the two layers. These findings are interesting and provide the basis for creating new material systems with rich functionalities and novel physical effects.
Thermal conductivity characterization of ultra-thin silicon film using the ultra-fast transient hot strip method*
Authors: Zhang Yan-Yan , Cheng Ran , Ni Dong , Tian Ming , Lu Ji-Wu , Zhao Yi
Published: July 2019

Thermal conductivity is an important material parameter of silicon when studying the performance and reliability of devices or for guiding circuit design when considering heat dissipation, especially when the self-heating effect becomes prominent in ultra-scaled MOSFETs. The cross-plane thermal conductivity of a thin silicon film is lacking due to the difficulty in sensing high thermal conductivity in the vertical direction. In this paper, a feasible method that utilizes an ultra-fast electrical pulse within

20
μ
s

combined with the hot strip technique is adopted. To the best of our knowledge, this is the first work that shows how to extract the cross-plane thermal conductivity of sub-50 nm (30 nm, 17 nm, and 10 nm) silicon films on buried oxide. The ratio of the extracted cross-plane thermal conductivity of the silicon films over the bulk value is only about 6.9%, 4.3%, and 3.8% at 300 K, respectively. As the thickness of the films is smaller than the phonon mean free path, the classical heat transport theory fails to predict the heat dissipation in nanoscale transistors. Thus, in this study, a ballistic model, derived from the heat transport equation based on extended-irreversible-hydrodynamics (EIT), is used for further investigation, and the simulation results exhibit good consistence with the experimental data. The extracted effective thermal data could provide a good reference for precise device simulations and thermoelectric applications.
Polarized red, green, and blue light emitting diodes fabricated with identical device configuration using rubbed PEDOT:PSS as alignment layer*
Authors: Zhang Haoran , Zhang Qi , Zhang Qian , Sun Huizhi , Hai Gang , Tong Jing , Xu Haowen , Xia Ruidong
Published: July 2019

Polarized red, green, and blue light emitting diodes (LEDs) are successfully fabricated using polyfluorene and its derivatives, namely, poly (9,9-dioctylfluorene) (PFO), poly (9,9-dioctylfluorene-co-benzothiadiazole) (F8BT), and poly (triphenylamine-co-4,7-di(thiophen-2-yl)benzo[c][1,2,5]thiadiazole-co-benzo[c]thiadiazole-co-9,9-dioctyl-9H-fluorene) (Red F). Rubbed hole transport layer poly(3,4-ethylenedioxythiophene): poly(styrene sulfonate) (PEDOT:PSS) is employed in the devices as the alignment layer to achieve fully monodomain alignment in all polymer layers. Red F is blended with F8BT to realize the polarized electroluminescence of red light (dichroic ratio ∼3.3), despite having no liquid crystallinity itself. Comparing PFO/F8BT blend to F8BT, higher efficiency of polarized emission is found due to the energy transfer. All the polarized LEDs exhibit pronounced dichroism and efficient polarized emission compared to the non-alignment regular devices.
Artificial solid electrolyte interphase based on polyacrylonitrile for homogenous and dendrite-free deposition of lithium metal*
Authors: Xu Hang-Yu , Li Quan , Pan Hong-Yi , Qiu Ji-Liang , Cao Wen-Zhuo , Yu Xi-Qian , Li Hong
Published: July 2019

High chemical reactivity, large volume changes, and uncontrollable lithium dendrite growth have always been the key problems of lithium metal anodes. Coating has been demonstrated as an effective strategy to protect the lithium metal. In this work, the effects of polyacrylonitrile (PAN)-based coatings on electrodeposited lithium have been studied. Our results show that a PAN coating layer provides uniform and dendrite-free lithium deposition as well as better cycling performance with carbonate electrolyte. Notably, heat treatment of the PAN coating layer promotes the formation of larger deposit particle size and higher coulombic efficiency (85%). The compact coating layer of heat-treated PAN with a large Young modulus (82.7 GPa) may provide stable protection for the active lithium. Improved homogeneity of morphology and mechanical properties of heat-treated PAN contribute to the larger deposit particles. This work provides new feasibility to optimize the polymer coating through rational modification of polymers.
Effect of defects properties on InP-based high electron mobility transistors*
Authors: Sun Shu-Xiang , Chang Ming-Ming , Li Meng-Ke , Ma Liu-Hong , Zhong Ying-Hui , Li Yu-Xiao , Ding Peng , Jin Zhi , Wei Zhi-Chao
Published: July 2019

The performance damage mechanism of InP-based high electron mobility transistors (HEMTs) after proton irradiation has been investigated comprehensively through induced defects. The effects of the defect type, defect energy level with respect to conduction band E
T, and defect concentration on the transfer and output characteristics of the device are discussed based on hydrodynamic model and Shockley–Read–Hall recombination model. The results indicate that only acceptor-like defects have a significant influence on device operation. Meanwhile, as defect energy level E
T shifts away from conduction band, the drain current decreases gradually and finally reaches a saturation value with E
T above 0.5 eV. This can be attributed to the fact that at sufficient deep level, acceptor-type defects could not be ionized any more. Additionally, the drain current and transconductance degrade more severely with larger acceptor concentration. These changes of the electrical characteristics with proton radiation could be accounted for by the electron density reduction in the channel region from induced acceptor-like defects.
Topological magnon insulator with Dzyaloshinskii–Moriya interaction under the irradiation of light*
Authors: Chen Liang
Published: July 2019

The topological magnon insulator on a honeycomb lattice with Dzyaloshinskii–Moriya interaction (DMI) is studied under the application of a circularly polarized light. At the high-frequency regime, the effective tight-binding model is obtained based on Brillouin–Wigner theory. Then, we study the corresponding Berry curvature and Chern number. In the Dirac model, the interplay between a light-induced handedness-dependent effective DMI and intrinsic DMI is discussed.
RFID Characteristics Test as Business Needs at Logistic Companies in Indonesia
Authors: Irsan Muhamad , Fitria Murad Dina , Fernando Erick , Touriano Derist , Corradini Andrea
Published: July 2019

In embedded RFID chips for storing records or data, such as Electronic Product Code one of them using barcode, in tag. Tags have functions to be able to transmit data for readable readers or stationary readers. using radio transmission technology to read data in tags. Each computer in the same system network can share and track data, regardless of where the item is searched for within the scope of the marked or restricted area. Available information may include item code, item date, delivery date, and item price. This study presents a framework based on RFID Proxied Technology Characteristics Real Time Data Processing, Continuous Data Tracking and Discrete Data, and Reuse and explores its relationship with Business Needs. The observed populations are supervisors and managers working in logistic companies taken cross section obtained from a number of logistics companies incorporated in the Indonesian Logistics Association (ALI) in 2015. Sampling is done using convenience sampling method (convenience sampling method) because the population of respondents working in logistics companies in Indonesia is not known with certainty. This research can contribute to how users can select and measure RFID technology from their characteristics so that the application of RFID systems and technology becomes an added value for the company not just as a complementary technology only.
Optimization of school location-allocation using Firefly Algorithm
Authors: Prima Pudy , Murni Arymurthy Aniati
Published: July 2019

The zoning policy of Indonesia New Student Admission System encourages schools to accept more students from their zoning location. This condition needs to be supported by a good management to ensure that the school facilities suffice the student distribution. School location-allocation optimization problem aims to obtain optimum student distribution such that the total of students travel distance is minimized. This problem is modeled as p-median problem, and can be solved using meta-heuristic approach. In this study, firefly algorithm with two-dimensional firefly individual representation is utilized to solve South Jakarta junior school location-allocation problem. The obtained solution lowers 57.58% of student travel distance compared to the previous condition assuming that favorite schools are tend to be chosen by students.
Development and Evaluation on Night Forest Virtual Reality as Innovative Nyctophobia Treatment
Authors: Paulus E , Yusuf FP , Suryani M , Suryana I
Published: July 2019

Nyctophobia is an exaggerated fear that arises when a person is in the dark or at nightime. In psychology, cognitive behavioral therapy is commonly used to treat a person who is accustomed to face his/her fears by giving positive suggestions of the fears, then confront the fears until he/she no longer feels anxious. This paper presents the storyboard and prototype development of Virtual Reality (VR) Night Forest application which aims to provide an alternative tool for Nyctophobia treatment. The adventure game which is located in a forest at nightime is used as a new means to allow the user to become familiar with darkness. In the game, the user is made aware of the wonderful experience of hearing natural sounds such as footsteps, bird and door sounds. The user, as a boy scout, is then assigned to look for logs in the forest with different lighting levels. The storyboards are implemented on Mobile VR Apps. The experimental study shows that fear level of female users remains high compared with male users. Nevertheless, the repeated use of the game can positively motivate users to train themselves to get comfortable in darkness. In the experiment, the usability assessment concerning virtual reality user interfaces is presented using Sutcliffe approach.
Gini Index With Local Mean Based For Determining K Value In K-Nearest Neighbor Classification
Authors: Saputra M E , Mawengkang H , Nababan E B
Published: July 2019

A process that explains and differentiates the data class is called Classification. The nearest neighbor is calculated based on the distance of each data, especially to determine the k value in the data. To fix K-Nearest Neighbor, it is necessary to test data class and train with Local Mean Based K-Nearest Neighbor using the closest distance measurement of Manhattan to each local mean of each data class. Gini Index is used in the process of calculating each weight in the data attribute. In this research, Gini Index, K-Fold Cross Validation and Local Mean are needed in the K-Nearest Neighbor classification. In Iris data the lowest k value is k=1, k=48, k=49, and k=50 accuracy is 94.67%, while the highest k value is k=12 and k=13 accuracy is 97.33%. So the result of the highest k value becomes the best k value in this study. Likewise with the Ionosphere data the lowest k value of k=50 accuracy is 86.92%, while the highest k value is k=2 with accuracy 92.89%, the Ionosphere data is the best k=2 and two Voice Gender and Lower Back data.
A Comparison Peer to Peer Lending Platforms in Singapore and Indonesia
Authors: Yunus U
Published: July 2019

The purpose of this study is to compare peer-to-peer (P2P) lending in Singapore and Indonesia in the type of platform, consumer behavior and the regulation of implementation of borrowing and investment. This study uses a qualitative approach because the method used is interpretive that allows a lot of data in reviewing the problems. The result of the research stated that P2P lending platform between Singapore and Indonesia has similarity. There are no significant different things. But the behavior of societies is different, in Indonesia the use P2P more for consumptive things because the community is no habit to save, while in Singapore, P2P for making an important, yet time-sensitive and urgent purchase. The government rules in Singapore have been already conducive, supported by the transactions of Fintech are more transparent. While in Indonesia, there is still confused about Fintech’s perception; some claim the permission from the Minister of Finance, whereas the truth is through the Financial Services Authority or OJK. P2P lending in Indonesia still needs the revamping of the Fintech actors, especially in the legality. Indonesia becomes an attractive market for Singapore’s Fintech because of the population.
Time Series Optimization on Data Mining
Authors: Buaton Relita , Mawengkang Herman , Zarlis Muhammad , Effendi Syahril , Manaor Hara Pardede Akim , Maulita Yani , Fauzi Achmad , Novriyenni N
Published: July 2019

Forecasting is one of the important topics in the data mining field, such as, predictions, weather forecasting, predictions of academic achievement. Another topic associated with forecasting through a series of data that depends on the time period is called time series. The problem in data mining time series is how to present the data. A common approach is to transform periodic series into other domains so that the reduced dimensions are followed by an index mechanism. However, research on time series has not been successful optimal yet, because it is still limited to mining data yet to represent time series, this pattern needs to be developed to change the pattern into a rule. The main problem that needs to be addressed in a periodic series is to present the results of visualization which includes more than thousands of observations are very difficult in order to present time series data in multidimensional to be mined. Working with high-dimensional data will be very expensive in terms of process and storage costs, because it requires high-level data representation or abstraction. The method used is the cluster window. The results obtained are the discovery of patterns based on the frequency of symbol behavior
Load balancing algorithm for a local video network
Authors: Suherman S , Aziz Mahdi , Nababan Erna B.
Published: July 2019

Server grows as client increases. If single server hardware up scaling has reached the limit, then multiple servers become solution. For local server requirement, the aforementioned solution has been sufficient. Load balancer distributes tasks to participating servers through designated algorithm. This paper assesses some load balancer algorithms for local video on demand network through experimental network that is developed in the lab for further research. As socket programming implemented, the WW is outperformed other algorithm in term of delay, jitter, losses as well as group of picture (GoP) delay.
User Group Management and Smart Society: Readiness Assessment of UU Adminduk (National Administration)
Authors: Adam Prasetyo Yuli , Lubis Muharman , Azani Hasibuan Muhammad , Wiyono
Published: July 2019

The conceptual model of smart societies has been aligned with smart offices, building and cities concurrently, which should concern various aspects of the individual such as attitude, behaviour and cognitive. In short, it should start from the fundamental and basic characteristic of human or bottom up approach not the other way around. In these concept, the new generation engages with the combination of smart energies, smart devices and smart transportations as the inheritance part of the advancement of smart system in the technologies utilization. For example, ubiquitous apps that provide rapid information about the direction to specific destination, the available spot to park, the reminder of respected area to avoid traffic congestion regardless the location of users. However, somehow, the utilization process often meet with failed in term of matching the user expectation with the system needs or, the most important thing, the readiness of current regulation to accommodate the trend changes and implementation of technology system. Thus, this study assess the interpretation of legal expert towards UU Adminduk (National Administration) by using content analysis through 21 selected coders from diverse background to gain more understanding of the complexity and reliability of the regulation. This act extremely necessary to govern the recording, changes, management and publication process of the personal data the purpose of national identity.
An Improved Feature Selection Method for Short Text Classification
Authors: Abayomi-Alli Olusola , Misra Sanjay , Matthews Victor O , Odusami Modupe , Abayomi-Alli Adebayo , Ahuja Ravin , Maskeliunas Rytis
Published: July 2019

Text has become one of the widest means of communication on mobile devices due to cheap rate and convenience for instance short text, web document, emails, instant messages. The exponential growth of text documents shared among users globally has increased the threat of misclassification associated with mobile devices such as Spam, Phishing, License to kill, Malware and privacy issues. Existing studies have shown that the major problem associated with text message classification is the poor representation of feature thus reducing accuracy and increasing f-measure rate. Thus, a modified Genetic Algorithm (GA) for improve feature selection and Artificial Immune System (AIS) algorithm was proposed for effective text classification in mobile short messages. The system will be deployed on an Android OS.
Conflict resolution via emerging technologies?
Authors: Yinka-Banjo Chika , Ugot Ogban-Asuquo , Misra Sanjay , Adewumi Adewole , Damasevicius Robertas , Maskeliunas Rytis
Published: July 2019

This paper presents a review of the current techniques and approaches adopted in conflict resolution in Multi-Agent Systems (MAS). The review highlights the strength and weaknesses, and thus, their success in fostering cooperation and collaboration in multi-agent systems. We survey alternative approaches to conflict resolution that rely on emerging technologies such as deep learning. From the survey, we discuss the benefits of using these emerging technologies in the conflict resolution process.
Design and implementation of a mobile webcast application with google analytics and cloud messaging functionality
Authors: Jonathan O , Misra S , Ibanga E , Maskeliunas R , Damasevicius R , Ahuja R.
Published: July 2019

Church cast is an application developed to bring the messages of ministries closer to their members by harnessing the Internet and mobile devices. Due to the very busy schedules of people and religious restrictions in some countries, people are not usually able to be physically present at their locations of worship to listen to or watch their ministers. Existing applications developed in the past like DOMI radio and Redemption TV Media were limited to only audio, poor and unintuitive user interfaces and not providing the administrator any interactions with the users of the application. In this work, we develop an Android-based application that makes it possible for users to watch live streams and on-demand videos from their ministries using their mobile devices. The application also incorporates sharing and analytics functionalities to enable users to share videos messages with loved ones and help the administrator monitor users’ activities on the application respectively. The cloud messaging functionality enables the administrator to send messages such as announcements to user devices as push notifications. This would eventually increase user knowledge and interaction with the activities going on in their respective places of worship.
Implementation of Smart Travel System For Support Travel And Accommodation Industry
Authors: Nurbadi Rayan , Amyus Arinda , Pratama Brolyn , Fawwaz Kanz Abiyyu , Nurul Fajar Ahmad , Wang Gunawan , Sfenrianto
Published: July 2019

Smart Travel System that called To-Tour is an important component in Travelling and Accommodation Services. There are variety and different organization for support the integration mechanism. We proposed the concept of implementation about travel reservation solution that called To-Tour for use by travellers using on Service Oriented Analysis and Design Approach, specifically in Service Oriented Architecture (SOA). To-Tour is a Tour Travel Agency offering any trips from different vendor, and provide any variety features such as hotel, restaurant, car & motorcycle rent, trip destination, tour package, tour guide, merchandise, train, flight and the other feature in one platform application. Service Oriented Analysis and Design can combine any entities from different providers that can be integrated together to provide Smart Travel System services for travellers. To-Tour system is also designed to develop the tourism industries in Indonesia could appealing to any different travels segments. To-Tour is a new way to reservation any services for travel on one application. Smart Travel System is solution in Indonesia, the travellers can search various travels or other services in our application.
The Student Attendance Controlling by Using RFID (Radio Frequency Identification) to Increase the Time Optimization and Accurate of Data
Authors: Sihombing Poltak , Timanta Tarigan Jos , Khair Asrul , Rumapea Humuntal
Published: July 2019

RFID (Radio Frequency Identification) is a wireless technology which uses to a purpose of identifying and tracking an object via radio waves to transfer data from an electronic tag, called RFID tag. In this paper, the using of RFID for an accurate student attendance tracking controlling is developed. Integrated with an Arduino Uno microcontroller and sensor to read student’s RFID tags. Each tag contains a unique identity (ID) that mapped to a single student ID in the database. We have tested in classroom of Computer Science Department, Universitas Sumatera Utara. The result shows that the average total time taken to record the attendance of a class with 50 students are around 40 seconds, compared to approximately 200 seconds (3.33 minutes) total time when using a conventional method. The system also able to record effectively with no error during our test.
Exploring the User Engagement Factors in Computer Mediated Communication
Authors: Lubis Muharman , Khairiansyah Alfi , Jafar Adrian Qadhli , Almaarif Ahmad
Published: July 2019

User engagement can be defined as the perception of the user to qualify the experience towards certain application, which focus on the positive aspects of the interaction through Internet in the context of the desire to use it continuously and for longer time. It is fundamental concept in the design of online applications regardless of the platform, driven by the observation that successful applications are not only used but those that work. However, user engagement in the technology advancement is a paradox phenomenon, as they recognize the potentiality but reluctant to adopt or they realize its use to solve problem but prefer the other solution for longer of time. The usual ways to evaluate them can be through self-report measures, observational methods, speech analysis or web analytics. These methods represent different compensations in term of configuration, the size of object and the scale of data to be collected. For example, some study might find detail and deep analysis but they are limited in term of generalizability, while the other might found out resourceful but denies the user reasoning and the context. During this millennial, the diffusion of innovation became the acceptable theory that majority academician and practical expert use to explain the phenomenon of the reason and factor to adopt certain product. Therefore, due to the assumption of several factors such as technology advancement and paradigm shift, this study want to explore current situation in the user engagement factors, which focused to computer mediated communication.
Categorization for the Security Awareness Domain and Resource (SADAR) Model in the Organization: A Clustering Statistical Analysis
Authors: Lubis Muharman , Fauzi Rokhman , Azani Hasibuan Muhammad
Published: July 2019

Employee in the organization or customer from company can significantly affect the overall strength of security of the system as the human factor become the common problem that lead to damage or disaster. Unfortunately, most security solutions offered in the market do not consider user as a critical security element. In this study, it is proposed to evaluate the awareness of the user regarding information security problems from three type of antecedents, which are individual, institutional and environmental. In order to collect data, questionnaires have been sent to the users using systematic sampling based on the domain of pattern concern on the role of responsibility. The cluster analysis method was applied to sample of users in categories related to the various items represented in the type of antecedents. It has objective to place a set of object in such a way that have tendency to be similar to each other in one group and tend to be differ in the opposite group. Then, the development of SADAR emphasized four groups namely define, devote, discover and direct.
The bioinformatics method of polyprenol reductase genes in Elaeis guineensis
Authors: Basyuni M , Hayati R , Chalil D.
Published: July 2019

Even though led to minor components, Elaeis guineensis is well known to contain vitamin E, carotenoids, fatty acid, triterpenoid, and phytosterols. Recently the occurrence and pattern of long-chain polyisoprenoids from oil palm has been reported. The current study assesses the bioinformatics approaches to assay four probably polyprenol reductase genes from E. guineensis on NCBI database along with predicted the physical chemical, subcellular echolocation, and phylogenetic of polyprenol reductase. Several parameters of physicochemical polyprenol reductase in E. guineensis were varied among the genes observed. Results also showed the implication of understanding the variation and role of physical and chemical characteristics of the changed amino acids in oil palm polyprenol reductase genes. The subcellular location of these three genes has stored in the plasma membrane, Golgi body, endoplasmic reticulum (membrane and lumen). It is surprising to note that all the genes had the same values. The existence polyprenol reductase genes of E. guineensis in the clustering was supported by the dominated of carbon chain length of dolichols in the monocot plants.
Simulation of Dynamic Traffic Light Setting Using Adaptive Neuro-Fuzzy Inference System (ANFIS)
Authors: Andayani U , Arisandi D , Siregar B , Syahputra M F , Muchtar M A , Yohana Manurung Octavia , Siregar I , Nasution T H
Published: July 2019

Traffic congestion is a common problem in so many big cities. The occurrence of traffic congestion can be caused by various reason, one of them is the increasing number of vehicles while the available facilities are not worth the amount. Congestion can cause many losses, including the amount of time wasted and spent fuel in vain. To solve the problem of congestion can be solved by building a new road. But the solution will make the environment more crowded and require more operational costs. Due to this reason, there is a good solution given that is, the renewal of traffic control system by building intelligent traffic light control system based on road density at each traffic intersection and the width of the road. The method used in this research is Adaptive Neuro-Fuzzy Inference System (ANFIS), this method will process the data of road density and road width to determine the duration of green light to be given. The road density will be calculated based on the video that will be captured by the system and will go through the pre-processing and processing stages until the labelling stage of the object on the road using the Connected Component Labelling (CCL) method, the image pixel of this CCL result will be compared to the image of the empty road condition (no vehicles) to get the percentage of road density. The system testing process used 36 images captured from the video and obtained the accuracy of 98,6%.
The English Language Scientific Literature Classification Based on Abstract Using Rocchio Algorithm
Authors: Andayani U , Arisandi D , Hasugian Misbah , Syahputra M F , Siregar B
Published: July 2019

The need for the documents in the form of journals or scientific articles is currently increasing which means the need of documents available also increasing, in another side it makes difficult to find and present journals. Therefore, a method is needed to classify journals automatically according to the categories of the journal. One method that can help organize documents according to their categories is classification. In this study, Rocchio algorithm is used as a method to classify journals. The data used comes from Google Scholar. Journal consists of 4 (four) categories: Computer Vision and Pattern Recognition, Artificial Intelligent, Data Mining and Analysis, and Computer System. System testing is carried out by taking 160 journals for training data and 48 journals for testing data. The results of this study produced a web-based journal classification system and showed the method used was able to classify journals with accuracy result is 93%.
Strategic Analysis of Sustainable Forest Management with Graph Model for Conflict Resolution
Authors: Zahedi  , Suwilo Saib , Mawengkang Herman , Tulus  , Alam Hermansyah , Febrina Kimberly , Razi Fachrur
Published: July 2019

This paper describes conflicts over forest resource management. To illustrate the conflict condition, the GMCR method is used to get an equilibrium solution to resolve the conflict. The players or key stakeholders in this situation are the Government (Ministry of Forestry), Forest Industries Company and Environmental Activists. Each player has a desire formulated as an option. The combination of these options will produce scenarios sorted according to player preferences. After that, stability analysis with the solution concept was carried out. The results show that both the Government and companies will seek funds to accelerate the development of the timber industry and reduce environmental impacts.
Khatib and Immam Scheduling System Using Genetic Algorithm
Authors: Siregar B , Fatimah  , Budiman MA , Andayani U , Fahmi F
Published: July 2019

Masjid has a function to do various activities, both worship activities to God and social activities to fellow human beings. In Masjid there is an instance that has the responsibility of determining the schedule of khatib, immam, and plans for various other activities. It is known as the masjid prosperity council or DKM. The DKM should be able to provide information to the pilgrims quickly. But in reality, people still have difficulty getting schedules and information about activities that will take place at the masjid. The length of scheduling that is done manually causes the discovery of activity schedule clashes, activities that are not in accordance with priorities, loss of previous plans, and khatib or immam who are unable to attend. To overcome this problem one approach is needed that can help the masjid prosperity council more easily manage schedules. In this study, Genetic Algorithm are used to solve this problem because of its good ability to be used in scheduling activities. After testing, the system built is able to provide solutions to problems in scheduling clashes of khatib and immam in the masjid.
Evaluating Ancient Sundanese Glyph Recognition Using Convolutional Neural Network
Authors: Paulus E , Hadi S , Suryani M , Suryana I , Simanjuntak YD
Published: July 2019

Handwriting recognition is still a real challenge in classification tasks. Not as in modern documents, the isolated glyph images in ancient document have various random noises, non uniform background color, and smudge. Convolution neural network (CNN) is one of successful method in pattern recognition and machine learning to classify the objects. The evaluation of some CNN architectures with several different convolution layers classifying the isolated glyph image are presented in this paper. The experimental study is tested on 60 classes of glyph from the ancient Sundanese dataset that published in ICDAR 2017. Beside, the batch normalization is also investigated to measure the performance of the learning process. The results shown that the recognition rate was affected by multi convolutional layers, multi fully connected layer and batch normalization. Based on the experimental study, model 8C2F could achieve 86.15% of recognition rate.
Manual Test Metrics in Genetic Algorithm
Authors: Bahar Emirul , Nasution Sawaluddin , Dewi Agushinta R , Wahyuni Rossi S
Published: July 2019

Software testing is a significant activity of the Software Development Life Cycle (SDLC) that can overcome possibility of error in every single development step. Software testing is most often used technique for verifying and validating the quality of software. Software testing that concern with the internal mechanism of a systems and mainly focus on control flow or data flow a program is called White box testing. White box testing is classified into static and structural testing. Type of white box testing that is used in this paper is structural testing. Path coverage and code complexity is a sub testing within the scope of structural testing. Path coverage split a program into a number of distinct paths. In this paper, structural graph and data flow graph is used to ease the tester to find path in a program by mapping out the program and software testing metrics is used to describe the effectiveness and quality of that processes that produce the software product.

This paper did manual testing for genetic algorithm program, such as mapping the genetic algorithm program into the control flow graph, create test cases to provide some possibility inputs that can be handled by program, execute test cases, analyze, and calculate the software manual test process metrics.
Hybrid Cryptosystem Combination Algorithm Of Hill Cipher 3x3 and Elgamal To Secure Instant Messaging For Android
Authors: Rachmawati Dian , Sharif Amer , Ericko
Published: July 2019

Instant messaging is commonly used in communication, which made a high level of security as an essential part. To secure the huge amount of messages, one of the techniques used is hybrid cryptosystem. A Symmetric Hill Cipher 3x3 and ElGamal Asymmetric Algorithm combination will be used to perform the hybrid encryption scheme. Symmetric Hill Cipher with a square 3x3 key matrix for the encryption process and ElGamal Asymmetric for encrypt the key of Hill Cipher. The strength of Asymmetric ElGamal is the difficulty of calculating discrete logs in a large prime modulus. In this research, the running time is directly proportional to the length of text during the encryption and decryption process.
Comparison Of RSA Algorithm & Hybrid RSA-OTP Algorithm For Image Security
Authors: Rachmawati Dian , Andri Budiman Mohammad , Andrei William
Published: July 2019

Transferring an image is one of the common processes. The image transferring, the sender wants to send a picture by maintaining the security and integrity and even the confidentiality of an image. One of the techniques to manage that aspect is cryptography – hybrid cryptosystem and Rivest-Shamir-Adleman algorithm. Hybrid cryptosystem uses RSA-OTP algorithm for its combination. Hybrid cryptosystem has the strength to secure an image because of its combination of the algorithm. A hybrid use symmetric algorithm to encrypt the image and asymmetric algorithm to encrypt the key from a symmetric algorithm. Rivest-Shamir-Adleman algorithm is an asymmetric algorithm which is hard to guess because of its different key. Rivest-Shamir Adleman Algorithm has a public key to encrypt and private key to decrypt; also prime test was implemented using the Agrawal-Kayal-Saxena algorithm. One-Time-Pad algorithm is a symmetric algorithm that is too hard to guess because this algorithm must have a key which length must be similar to plain’s length, the more length of the plain, the harder key to guess.
A Guidance Application for Historical Routes and Location Area with Augmented Reality
Authors: Syahputra M F , Andayani U , Efendi S , Arisandi D , Abdullah D , Sriadhi S , Mouw E , Biso H , Ririhena M Y
Published: July 2019

Indonesia is a cultural and historical diversity country. The Indonesian national culture is an analogous multicultural, rooted in older societies and interethnic relations caused the national culture is most easily observed in cities but aspects of it now reach into the countryside as well, for example, capital of Sumatera Utara, Medan. Indonesia’s borders are those of the Netherlands East Indies, though Dutch imperialism caused nation and many of its institutions should be able to preserve and introduce their culture and history to future generations. One way that can be done by involving the development of Augmented Reality. Augmented Reality (AR) is a technology that can be developed by creating 3D (Dimensions) of each created object such as a historic place. In this study, the object to be constructed is the 3D object of the historic building in Medan city which is a historic city in North Sumatra. In addition to historical sites there is a city tour service with the location of the historic building nearby with the location point of reference based on the current location. In addition, the user interaction can be done with 3D objects using Augmented Reality technology and information about historic buildings and the use of virtual reality technology in creating 3D visuals of extinct historic locations. This research is expected to attract users of heritage traveller applications and educate the community in preserving the cultural heritage with the help of Augmented Reality (AR) and Virtual Reality (VR) technology.