Reviewerly/exHarmony huggingface dataset:
Algoritma Fisher-Yates Shuffle dan Flood Fill sebagai Maze Generator pada Game Labirin

Maze game is an interesting game and used to spend time. However, in the maze game, the level used forthis game still uses static levels. Static levels make the maze shape stay the same if we play the same level. Thus, players will quickly feel bored because it finds the same complexity. Maze generator is a static level problem solution on the maze game. This research uses Fisher-Yates Shuffle algorithm and Flood Fill algorithm to make maze generator. Fisher-Yates Shuffle algorithm is used for wall position randomization and Flood Fill algorithm to keep the maze results to remain resolved. The results of the application implementation yielded 30 mazes and were tested using the Hamming Distance algorithm, yielding that the result of the maze formed is always different. The average percentage rate difference produced 48% each time the maze was formed. The results of the maze that was formed performed perfect maze checking with the result of 83.33% percentage.&#x0D; Index Terms— Fisher-Yates Shuffle, Flood Fill, MazeGenerator, Hamming Distance
APLIKASI SISTEM PAKAR DIAGNOSA PENYAKIT GIGI METODE FORWARD CHAINING DI UPTD KESEHATAN PUSKESMAS BANGIL

Teeth are organs that are very important and very vital. Therefore dental health is very important. Most of the Indonesian people, the appeal for dental examinations every six months is more often considered a breeze then, because they are more concerned with the health of other organs. Though diseases that attack teeth can have a very significant effect such as appearance problems. This research applies computer science in the medical field, especially for dental disease problems at the UPTD Health Center in Bangil using the expert system concept. Expert system is a system in the form of computer software where the computer is made as if - will think like an expert or expert in the field. The search method used is forward chaining, which is a search where facts are known to support conclusions. This expert system makes it easy for patients to conduct consultations, making it easier for the admin to manage symptom data and their illnesses and patient data, judging from the results of the questionnaire which states that it is very useful, can be used as a temporary doctor.
Detect-and-describe: Joint learning framework for detection and description of objects

Traditional object detection answers two questions; “what” (what the object is?) and “where” (where the object is?). “what” part of the object detection can be fine grained further i-e. “what type”, “what shape” and “what material” etc. This results in shifting of object detection task to object description paradigm. Describing object provides additional detail that enables us to understand the characteristics and attributes of the object (“plastic boat” not just boat, “glass bottle” not just bottle). This additional information can implicitly be used to gain insight about unseen objects (e.g. unknown object is “metallic”, “has wheels”), which is not possible in traditional object detection. In this paper, we present a new approach to simultaneously detect objects and infer their attributes, we call it Detectand- Describe (DaD) framework. DaD is a deep learning-based approach that extends object detection to object attribute prediction as well. We train our model on aPascal train set and evaluate our approach on aPascal test set. We achieve 97.0% in Area Under the Receiver Operating Characteristic Curve (AUC) for object attributes prediction on aPascal test set. We also show qualitative results for object attribute prediction on unseen objects, which demonstrate the effectiveness of our approach for describing unknown objects.
ANALISIS QUALITY OF SERVICE JARINGAN VIRTUAL PRIVATE NETWORK (VPN) DI STMIK STIKOM INDONESIA

The need to access data remotely is a person's need to be more efficient in doing a job. Currently there are many remote access application programs, one of which is TeamViewer by utilizing the internet public network. By installing a TeamViewer program on a client and server computer someone can do data work and repair remotely as long as it is connected to the internet. To be able to do remote access, of course, a client must already know the user and password from the server computer. The disadvantage of TeamViewer is that other people will easily remote access data simply by entering the user and password that the computer has on the server. To overcome this problem, VPN technology is used with the PPTP protocol where only the IP address of the client that has been registered on the proxy device can access data on the server. VPN allows clients to connect to the server privately through public networks. To find out the performance of the VPN network that is built, QoS (Quality of Service) parameter analysis is needed which includes delay, jitter, throughput and packet loss. From the results of the tests carried out, the results of QOS with an index of 3.75, which if converted to the standard TIPHON, VPN network at STMIK STIKOM Indonesia has a satisfactory quality.
Opinion Spam Detection based on Annotation Extension and Neural Networks

Online reviews play an increasingly important role in the purchase decisions of potential customers. Incidentally, driven by the desire to gain profit or publicity, spammers may be hired to write fake reviews and promote or demote the reputation of products or services. Correspondingly, opinion spam detection has attracted attention from both business and research communities in recent years. However, unlike other tasks such as news classification or blog classification, the existing review spam datasets are typically limited due to the expensiveness of human annotation, which may further affect detection performance even if excellent classifiers have been developed. We propose a novel approach in this paper to boost opinion spam detection performance by fully utilizing the existing labelled small-size dataset. We first design an annotation extension scheme that uses extra tree classifiers to train multiple estimators and then iteratively generate reliable labelled samples from unlabeled ones. Subsequently, we examine neural network scenarios on a newly extended dataset to learn the distributed representation. Experimental results suggest that the proposed approach has better generalization capability and improved performance than state-of-the-art methods.
Morphotectonic aspects in a part of Naga-Schuppen belt, Assam-Nagaland region, Northeast India

The Belt of Schuppen is an important tectonic element of the Assam-Arakan basin. It is a narrow belt of thrust slices in southeastern boundary of the Assam valley. The Naga Schuppen Belt, consisting of eight or more imbricated thrusts, occurs between the Naga and Disang thrusts. This present study encompasses an area of 4,720 sq km along the Assam-Nagaland border. The Dikhow River, which is a seventh order basin, originates from Naga Hills flowing through a total length of 240 km in the Assam valley and reaches the Brahmaputra. In this study, the morphotectonic analysis of the Dikhow River was carried out to understand the role of active tectonics of the Naga Hills in Nazira-Naginimora areas of Assam and Nagaland respectively. The parameters such as asymmetric factor (AF), transverse topographic symmetric factor (T), and stream length gradient index (SL) were computed. Absolute AF values shows asymmetric to highly asymmetrical shape of the basins (range III-IV) which is also supported by T values. Anomalous SL values were obtained wherein major lineament and tectonic features are present. This indicates that the study area is tectonically active. Further, in the Assam valley it has been observed in the bank stratigraphy of Dikhow River that the Quaternary sediments are deformed. This deformation of the soft older alluvium indicates that the area is undergoing deformation during post Pliocene time. This evidence demands the morphotectonic evaluation of the aforesaid area to demarcate the tectonic activeness of the region in post Pliocene times.
Context and Implications Document for: The effectiveness of computer‐assisted pronunciation training: A meta‐analysis

This guide accompanies the following article: Mahdi, H. S. &amp; Al‐Khateeb, A. A., The effectiveness of computer‐assisted pronunciation training: A meta‐analysis, Review of Education , https://doi.org/10.1002/rev3.3165
Analisis Kesulitan Belajar : Dampak Latar Belakang Kejuruan ditinjau dari Proses Pembelajaran Matematika Perguruan Tinggi

The purpose of this study is to make a diagnosis of student learning difficulties Mathematics education graduate IPA, IPS and SMK in terms of learning mathematics. This research uses descriptive qualitative research type. Instrument used in the form of interview result, observation result of student learning mathematics and supported by result of questionnaire of interest of student of mathematics education by using Likert scale measurement which used to measure attitude, opinion, or perception of someone about social phenomenon. The results of this study include: (1) Types of learning difficulties for students with science graduates including difficulties in academic learning (academic learning disabilities). (2) Types of learning difficulties students with social studies and vocational backgrounds have a type of learning difficulties related to development (developmental learning disabilities) which includes perceptions, difficulties in language learning and communication, and learning difficulties in adjusting social behavior. (3) the effort that must be made to overcome this is to foster a high interest in learning to students.
Youths and Sustaining Democracy in Nigeria: Issues, Challenges and Way Forward

The crux of democracy is dependent on the desires of the population which such government serves.The Youths have been identified as an essential section of any country's population because of their contribution to economic and democratic development.In the case of Nigeria, youths have participated in politics, engineer agitation for environmental protection, electoral process and civil justice which constitute aspects of the democratic experience.However, in recent times the democratic experience in the country has been threatened by violence and insecurity which have been perpetuated by youths.This study is therefore informed by the need to analyse the challenges faced in sustaining democracy in Nigeria, the impact youths have on the sustenance of democracy in Nigeria as well as solutions that can be adopted to sustain democracy in the country.The study employs a survey design approach using a structured questionnaire titled "Impact and Challenges of Youths in Sustaining Democracy" (ICYSD) for data collection and was guided by three research questions.A total of 200 youths residing in Cross rives state were sampled from 1200 youths in the Niger delta region.Data was analysed employing frequencies and percentages.The findings indicates that the primary challenge faced in sustaining democracy is illiteracy, ethnic sentiment, unemployment, poverty amongst others and that the impact of youths on the sustenance of democracy include manpower provision, voter strength, electoral violence and disruption of economic activities to mention a few.This study further reveals that through empowerment programmes, access to education, religious and ethnic tolerance and job creation, democracy can be sustained in Nigeria.
PENERAPAN METODE WATERFALL PADA PENGEMBANGAN SISTEM INFORMASI REKAM MEDIS KLINIK RAWAT INAP NAJA SHAFANA PURWOKERTO

Computer is the one of technology that can make people activity easier. To maximize the computer utilization it need a computerization system. Like on Klinik Pratama Rawat Inap Naja Shafana that give health service. The service that given are outpatient, inpatient and emergency unit. Until now, medical records procedure at Klinik Pratama Rawat Inap Naja Shafana still done by hand, one of them is on outpatient procedure. The registration of medical patient data was written on paper that susceptible from damage and data loss. Besides that, the history of medical patient start form anamnesia, diagnose and therapy wrote on paper too. The Medical patient checkup data of inpatient still on a paper. The data have been random archived, so it need long time for searching data and arrange the report. As a health unit that serve general society, Klinik Pratama Rawat Inap Naja Shafana need an information system that can accelerate performance and increase redundancy, data loss and data detriment. The information system also can make archived and data searched easily and can block access from uncompetent people. Therefore, it’s necessary to make medical records information system on Klinik Pratama Rawat Inap Naja Shafana. A computerization system besides accelerate performance also can make data reporting easier.
Design and Development Stage of Interactive CD-Based Audio Visual Media Development for Improving the Listening Skill on Listening Subject in STKIP PGRI West Sumatera

.
Information Technology and the Cost of Bank Loans: An Empirical Investigation

In this paper, we examine the effect of IT investment on the cost of bank loans for firms, drawing upon theories of banking and risk management.On one hand, IT may be able to reduce the risk of being overtaken by competition or other adverse situations; on the other hand, the IT investment itself might be considered risky due to nature of the digital transformation.Using a sample of 261 firms from 1991-2006 and data from InformationWeek, DealScan and Compustat, we find that IT investment is associated with lower interest rates from banks.More importantly, we find the strength of this relationship is contingent upon the role of IT in the industry, the intensity of competition in the industry, and whether the firm is diversified.
Engineering Multiphoton Quantum States using Conditional Measurements

We experimentally demonstrate that the simultaneous subtraction of photons from a two-mode squeezed vacuum state leads to the generation of entangled states with increasingly larger average photon number.
Analysis of some Mobile Applications for Cycling

This article analyzes some available bike mobile applications as an alternative to bike computers, as known as cycle computers or speedometers or speed sensors. We have stored a lot of datasets recorded from different mountain bike routes; in this study, we analyzed two routes only. Most mobile cycling applications estimate fields such as speed, heading, slope, distance, VMG (Velocity Made Good) and pace (cadence). However, it is necessary to calculate the relationship between cadence and power in pedaling so that cyclists know the appropriate moment to apply force to their legs to improve the torque. We studied four cycling apps and one bike computer. The contribution of this paper lies in the fact that it reports and compares measurements of cycling workouts using four mobile applications for cycling, at the same time these measurements are compared against a speedometer; the differences in distance and speed between the mobile apps used in this study are slightly notorious. We also show comparative tables and graphs, and performance evaluation of biking routes in two different bike routes.
Applying a System for Measuring Dynamic Knowledge: Reconsidering the Spiral Model

Knowledge is key to competitive advantage, but it is inherently invisible, intangible and resistant to quantification, particularly when in dynamic motion.Recent research builds upon emerging knowledge measurement techniques and well-established knowledge flow theory to develop a system for measuring dynamic knowledge in the organization.Results from application to archetypical organization processes are highly consistent with much theory.However, they also lead us to question some longstanding theoretic concepts and principles.In this article, we reconsider the well-known Spiral Model through dynamic knowledge measurement.
IMAGE SEGMENTATION BASED ON MULTIPLEX NETWORKS AND SUPER PIXELS

Despite the large number of techniques and applications in the field of image segmentation, it is still an open research field.A recent trend in image segmentation is the usage of graph theory.This work proposes an approach which combines community detection in multiplex networks, in which a layer represents a certain image feature, with super pixels.There are approaches for the segmentation of images of good quality that use a single feature or the combination of several features of the image forming a single graph for the detection of communities and the segmentation.However, with the use of multiplex networks it is possible to use more than one image feature without the need for mathematical operations that can lead to the loss of information of the image features during the generation of the graphs.Through the related experiments, presented in this work, it is possible to identify that such method can offer quality and robust segmentations.
A visual analytics architecture for the analysis and understanding of software systems

Visual analytics facilitates the creation of knowledge to interpret trends and relationships for better decision making. However, it has not being used widely for the understanding of software systems and the change process that takes place during their development and maintenance. This occurs despite the need of project managers and developers to analyze their systems to calculate the complexity, cohesion, direct, indirect and logical coupling, detect clones, defects and bad smells, and the comparison of individual revisions. This research considers the design of an extensible and scalable architecture to incorporate new and existing methods to retrieve source code from different versioning systems, to carry out the analysis of programs in different languages, to perform the calculation of software metrics and to present the results using visual representations, incorporated as Eclipse and Visual Studio extensions. Consequently, the aim of this work is to design a visual analytics architecture for the analysis and understanding of systems in different languages and its main contributions are the specification of the design and requirements of such architecture, taking as base the lessons learned in Maleku (A. González-Torres et al., 2016).
An Interactive Mixed Reality Ray Tracing Rendering Mobile Application of Medical Data in Minimally Invasive Surgeries

Visualization of patient’s anatomy is the most important pre-operation process in surgeries, minimally invasive surgeries are among these types of medical operations that counts totally on medical visualization before operating on a patient. However, medicine has a problem in visualizing patients’ through looking through multiple slices of scans, trying to understand the three-dimensional (3D) anatomical structure of patients. With Mixed Reality (MR) the developments in medicine visualization will become much easier and creates a better environment for surgeries. This will help reduce the excessive effort and time spent by surgeons to locate where the problem lies with patients without looking through multiple of two-dimensional (2D) slices, but to see patients’ bodies in 3D in front of them augmented in their reality, and to interact with it whatever pleases them. Moreover, this will reduce the number of scans that doctors will ask their patient’s for, which will result in less harmful x-ray dosages for both the patient and the radiologist. Biomedical development in medical visualization is an active research topic as it provides the physicians with required devices for clinically feasible way for diagnosis, follow-up and take decisions in different disease life line. Current clinical imaging facility can provide a 3D imaging that can be used to guide different interventional procedures. The main challenge is how to map the information presented in the digital image with the real object. This is commonly implemented by mental processing that requires skills from the medical doctor. This paper contributes to this problem by providing a mixed reality system to merge the digital image of the patient anatomy with the patient visual image. Anatomical image obtained from Computed Tomography (CT) or Magnetic Resonance Imaging (MRI) is mapped over the patient body using virtual reality (VR) head-mounted device (HMD).
Proposed Curriculum Guidelines for Masters Programs in EM With an IS Focus

Information systems (IS) in emergency management (EM) support situational awareness and agility during a disaster so that professionals do not only need to follow rigid pre-defined plans that might be unsuitable in the unfolding situation. To use IS effectively, managers need an understanding of the capabilities of these systems; this can be achieved through an appropriate set of educational courses. This article presents the results of the analysis of a survey that proposed EM and IS courses for master level programs. The survey was completed by 373 practitioners, academics and/or researchers with EM experience. All proposed courses were rated above a 4 on a 7-point scale for how essential they are to a curriculum. A qualitative analysis indicates that some low ratings were due to disagreement over the described course content. An unexpected finding was that a substantial number of respondents spontaneously expressed opposition to the use of IS for EM in general. Findings are discussed and a preliminary curriculum is proposed.
A posture measurement approach for an articulated manipulator by RGB-D cameras

The objective of this article aims at the safety problems where robots and operators are highly coupled in a working space. A method to model an articulated robot manipulator by cylindrical geometries based on partial cloud points is proposed in this article. Firstly, images with point cloud data containing the posture of a robot with five resolution links are captured by a pair of RGB-D cameras. Secondly, the process of point cloud clustering and Gaussian noise filtering is applied to the images to separate the point cloud data of three links from the combined images. Thirdly, an ideal cylindrical model fits the processed point cloud data are segmented by the random sample consensus method such that three joint angles corresponding to three major links are computed. The original method for calculating the normal vector of point cloud data is the cylindrical model segmentation method, but the accuracy of posture measurement is low when the point cloud data is incomplete. To solve this problem, a principal axis compensation method is proposed, which is not affected by number of point cloud cluster data. The original method and the proposed method are used to estimate the three joint angular of the manipulator system in experiments. Experimental results show that the average error is reduced by 27.97%, and the sample standard deviation of the error is reduced by 54.21% compared with the original method for posture measurement. The proposed method is 0.971 piece/s slower than the original method in terms of the image processing velocity. But the proposed method is still feasible, and the purpose of posture measurement is achieved.
Research development about room temperature terahertz detector array technology with microbolometer structure(invited)

Terahertz (THz) detector with thermal sensitive microbolometer structure indicates many prominent features, such as wide band detecting region, large array pixels, high integrated device, real-time imaging, comparing with some other room-temperature THz technologies. Microbolometer structure using VOx thin film as sensitive material has been successfully fabricated uncooled infrared focal plane array detector, but unsuitable for THz detection for very low THz wave absorption ratio. So some special design should be presented in the microbolometer structure to achieve high performance THz detector. Room-temperature THz technologies and development of microbolometer type THz detector array were introduced in this article briefly, and also the research about THz absorption material or structure in University of Electronic Science and Technology of China was presented in the paper.