bluuebunny/crossref_metadata_2025_split huggingface dataset:
From a demonstrative to a relative clause marker
Authors: Dachkovsky Svetlana 
Published: July 2020

Abstract
Demonstratives provide an important link between gesture, discourse and grammar due to their communicative function to coordinate the interlocutor’s focus of attention. This underlies their frequent cross-linguistic development into a wide range of function words and morphemes (Diessel 1999). The present study provides evidence for a link between gesture and grammar by tracking diachronic development of a relative clause marker in Israeli Sign Language (ISL) restrictive relative clauses, which starts as a gestural locative pointing sign, and grammaticalizes into a relative pronoun connecting relative and main clauses and agreeing with referent loci, and then into an invariant relativizer. Diachronic changes are inferred from the data collected from three generations of signers. The results reveal that the behavior of demonstratives in the data varied with the signers’ ages according to four diagnostic criteria of grammaticalization (e.g., Hopper & Traugott 2003): increased systematicity, distributional and morphological changes, and phonetic reduction.
The utilization of Safe Parking Application (SPR) for motorcycle security using Global Positioning System (GPS) in Indonesia
Authors: Henuk A T , Mandala R , Hadisukmana N , Henuk D A , Mesinario W , Zendrato N , Henuk Y L 
Published: July 2020

Abstract
This study aims to create a Safe Parking Application (SPR) using Rapid Application Development (RAD) and Global Positioning System (GPS) which will control and secure motorcycles. Vehicle theft cases increase from year to year in Indonesia’s big cities. This application will be a solution to vehicle theft prevention in Indonesia’s big cities. It will alert the owner when the motorcycle is moved from its parking position. The owner will receive some detail information about the motorcycle movement i.e. the vehicle location, the history, and the live GPS. In conclusion, the utilization of SPR is a solution to prevent the increase of motorcycle theft in Indonesia’s big cities. This application uses a low-cost device as a substitute for an alarm or transmitter.
Riau Forest Fire Prediction using Supervised Machine Learning
Authors: Negara B S , Kurniawan R , Nazri M Z A , Abdullah S N H S , Saputra R W , Ismanto A 
Published: July 2020

Abstract
Forest fire is one of the environmental problems in terms of economically and ecologically detrimental. The number hotspot of forest fires in Indonesia has become increasing dramatically in September 2019 with 16178 hotspots that caused hazardous haze. The hazardous haze has disturbed about 1.04 million and 6.5 million people in Pekanbaru City and Riau Province subsequently. Hence, the development of early warning systems may provide effective strategic information plus accurate prediction results tailored for forest fire prevention and control. Weather data can be used as the main source for analyzing forest fires. This study aims to predict forest fire in Riau, Indonesia. This study has used 1733 weather data in five years (2015-2019). The forest fire prediction models were developed by using two supervised machine-learning techniques namely Decision Tree (DT) and Bayesian Network (BN). The experimental result shows that BN outperforms DT with accuracy rate and RMSE value in pairs of 99.62% and 0.076, and 93.18% and 0.244 subsequently. Despite its low performance, DT able to extract the main factors that caused the forest and land fires efficiently. Thus, it can be concluded that the prediction model using BN has the potential to be used effectively but still has plenty of room for improvement.
Received signal consideration for the through the earth radio-based underground object detection
Authors: Suherman S , Rambe A H , Wijayanto E , Mubarakah N 
Published: July 2020

Abstract
Underground object detections usually employ ground penetration radar (GPR). However, GPR produces data taken only from the earth’s surface. This paper proposes radio through the earth (TTE) propagation path or received signal profile for three-dimensional detection. The propagation model and the three-dimensional propagation line equation are employed. Collections of transmission paths are classified into two-part, blocked and unblocked signals. Both classified signals are compared for signal processing. The study reveals that a number of the transmission path is a function of vertical edge to probe n, the deep of edge l, and transmitter step s. It is suggested the blocked signal paths are used for signal processing analysis as the volume is usually smaller than the evaluated space.
Byteless CTS for passive load balancing in 802.11 networks
Authors: Suherman S , Jasman R , Pinem M , Gunawan  
Published: July 2020

Abstract
Load balancing in 802.11 networks is aimed at distributing traffics among access points (APs) to avoid overloaded access. Existing works may be classified into passive and active algorithms depending on the Ethernet changes in the user side. Since Ethernet 802.11 has been installed in millions of computers, changes in these user premises are not preferred. Software intervention on manufactured access points should also be kept as minimum as possible. Therefore, this work proposes a passive load balancing algorithm that transmitting byteless clear to send (CTS) signal in response to a request to send (RTS) sent by unwanted users when AP experiences overloaded. This method causes excessive users will passively be encouraged to find an alternative AP. There is no Ethernet change on the user side. Minor improvement is required in AP software to determine whether overload or not, and to decide which node(s) receiving byteless CTS. Evaluations show that average throughput to all connected users decreases as unwanted users failed to transmit. However, the average throughput to prioritized users increases significantly.
Answering Islamic Questions with a Chatbot using Fuzzy String-Matching Algorithm
Authors: Sihotang M T , Jaya I , Hizriadi A , Hardi S M 
Published: July 2020

Abstract
The guidance of Muslims in worship refers to the holy Quran and the hadith. Not all people understand the law related to a case in accordance with Islamic teachings. Questions relating to a matter based on Islamic law are widely circulated on the Internet with long and detailed answers. This is good but for some people, a short and direct answer to the core is the desired answer, of course in accordance with the majority of Muslim scholars. One of the many technologies that can be used to answer questions is chatbot. A chatbot is one of many implementations of Natural Language Preprocessing. In this study, the chatbot can find answers to questions in accordance with Islamic law using the fuzzy string-matching algorithm. The research test data were obtained from several people who used chatbot directly by looking at pairs of questions and answers whether they were appropriate or not. The accuracy of the test is 70.37% and the chatbot’s performance is quite good.
K-Means method for analysis of accident-prone areas in Palangka Raya
Authors: Sitohang H , Rosmiati  , Merni S 
Published: July 2020

Abstract
Traffic accidents are the most feared thing for everyone. Even though people are careful using vehicles, accidents can occur. This can be caused by humans not obeying traffic rules, drowsiness, damaged roads, and bad weather. In recent years the accident rate in Palangka Raya has increased sharply and even resulted in death. Accidents often occur in different places and times, making it difficult to determine accident-prone areas. By utilizing data mining techniques using the K-Means method, it can explore information on areas where accidents occur frequently. So that it helps the police in providing signs of accident-prone areas. The results of the study stated the K-Means Clustering algorithm in determining the accident-prone point of success obtained by 68%.
Impetus and influences of Online Learning Interaction based on Non-English Lecturers’ Perspectives in global class program
Authors: Luke J Y , Sela S T 
Published: July 2020

Abstract
The purpose of this paper aimed to investigate the impetus and influences of executing Online Learning Interaction in the Global Class Program. There were sixteen university lecturers involved in this study. Data were collected through an online survey using Google form. The analysis of data used descriptive analysis using percentages. The results indicate that Online Learning Interaction carried out in English classrooms resulted in positive effects for university lecturers. The most influential effect of executing Online Learning Interaction to facilitate lessons in English was aiding to enhance technological skills in learning. Then, the second biggest effect was facilitating to transformation global vision or mindset of the lecturers. The third and fourth places were improving the effectiveness of communication in learning and enhance delivering skills. Moreover, the study indicates that ICT satisfaction in learning was the dominant motive to execute Online Learning Interaction in English Classroom contexts.
Automated Midline Setting for Brain Image Analysis to Detect Intracerebral Hemorrhage
Authors: Fahmi F , Nasution I K , Sawaluddin  
Published: July 2020

Abstract
One crucial step in detecting intra-cerebral hemorrhage automatically is to develop a midline setting that will divide the brain structure into 2 parts: the right hemisphere and the left hemisphere. This is useful for the process of detecting bleeding in the brain. By comparing the right hemisphere and the left hemisphere, bleeding detection can be done quickly and automatically on the application system. In this study, we proposed a method that was developed based on the pixel scan algorithm and the determination of the center of weight of the segmented part of the brain. The midline was set as the longest line possible drawn from edges of the brain skull. The result was then compared to manual reading by conducting user agreement surveys to radiology experts. The result shows that more than 75% of the cases experts strongly agree and agree with the midline setting automatically set by the algorithm, but 65% of them were dissatisfied and suggested improvement of the algorithm.
Comparative Analysis of Eigenface and Learning Vector Quantization (LVQ) to Face Recognition
Authors: Chandra R , An-Nissa S , Zamzami E M 
Published: July 2020

Abstract
Face recognition is a topic most often discussed in this era because it can be applied and developed for several needs that can be useful in daily life. Face recognition always use learning method like eigenface and learning vector quantization (LVQ). The learning process is using the face of a digital image taken from a camera in five angles for one person that will apply for dataset learning (training and learning data set), and the live image is taken from the camera for testing (testing data image). The first step image will be detected with a haar cascade and captured by a camera. It will use to processing images to get the best image and prepare to be input into the network. From the experiments with 10 testings with various parameter values, the experiment results obtained the LVQ is more accurate than eigenface to identifying faces with average accuracy 66.29% and eigenface is 56.67% with comparison 9.62%, but eigenface is faster in running time with average time 4.39 seconds and 7.38 seconds for LVQ with comparison 2.98 seconds.
Numerical simulation of a rectangular microstrip patch antenna for 3.35 GHz applications
Authors: Hanafiah Rambe Ali , Lutfi Muhammad , Suherman  , Zulfin Muhammad , Pinem Maksum 
Published: July 2020

Abstract
This paper described the design and numerical simulation of a rectangular microstrip patch antenna for applications at 3.35 GHz. The numerical simulation carried out with the aid of AWR software. The initial design was done by mathematical calculation. Then the initial design is modeled and numerically simulated to get the optimal design. Optimized parameters are length of the patch and width of the feed line. Based on the optimal results obtained a minimum return loss of -15.98 dB and bandwidth below the return loss of -10 dB is 93 MHz (3.311 - 3.404 GHz).
Traffic Light Controlling for Emergency Vehicle Line Based on GPS Tracking and Position Using GPRS Network
Authors: Seniman  , Zendrato Niskarto , Arisandi Dedy , Lubis Fahrurrozi 
Published: July 2020

Abstract
In big and metropolitan city, traffic jam is common problem and often to be occured. And that is the most critical problem for emergency vehicles. Where time and urgency are the most priority to be handled. In this research, emergency vehicle was utilized with any GPS device. The vehicle tracking service is provided for real time tracking. We use open source vehicle tracking framework/server Traccar. The same as with common GPS device, the emergency vehicle continusously sends its latitude, longitude and speed to GPS server. The research focused on Traffic Light Device which built of ESP32 microcontroller, GPRS module Air202 and battery power supply with charging function. While emergency vehicle reports its position to GPS server, the traffic light device continuously checks the emergency vehicle’s position data from the GPS server. The idea is to take the advantage of GPS server API, where traffic light device using HTTP GET communication with implementation of embedded cookies, session and keep alive to access the GPS server API. Traffic light device then calculates straight distance to emergency vehicle based on its predefined fixed latitude and longitude. If emergency vehicle located within the user defined threshold radius of traffic light device, then the traffic light turn green to allow emergency vehicle for passed its line. As the result of this research, traffic light device has been successfully read emergency vehicle device’s location data and measured their distance within 1 to 2 seconds.
Implementation of Linear Congruential Generator (LCG) Algorithm, Most Significant Bit (MSB) and Fibonacci Code in Compression and Security Messages Using Images
Authors: Elveny M , Syah R , Jaya I , Affandi I 
Published: July 2020

Abstract
The use of technology makes information spread more quickly compared to conventional methods that humans used before they knew technology. However, there is information that is only intended for certain people or institutions because the information is very confidential. The obstacle in exchanging information is the problem of information / data security. Because of that, an electronic message security algorithm which is quite well-developed is cryptographic (cryptography) and steganographic (steganography) algorithms. The development of increasingly advanced technology and the addition of more and more computer users also cause data to accumulate and transfer data from one device to another. The data is generally compressed first so that the exchange process does no take too long. Therefore, we need a system that can secure messages while reducing image data to be more efficient in the process of transmission and delivery. To implement this problem the system is designed using the Linear Congruential Generator (LCG) algorithm and the Most Significant Bit (MSB) as a security medium and using the Fibonacci Code algorithm as compression of the image. In implementation the system has a weakness in compressing images that not dominate colors because the size of the data becomes larger. In addition, the compression ratio on the variation of text length has decreased and has increased in the image variation experiments where if the compression ratio decreases, indicating better compression.
Preliminary Study for identifying Rice Plant Disease Based on Thermal Images
Authors: Silvi Lydia Maya , Aulia Indra , Jaya Ivan , Sofiah Hanafiah Diana , Hakim Lubis Rizky 
Published: July 2020

Abstract
Accurate and timely identification of plant disease can help stakeholders and farmers to mitigate losses due to pests and diseases. One of the identification techniques is indirect detection using thermal imaging technology. This technology has been considered a fast way without damaging the profile of a plant. In this paper, we describe the preliminary study of the thermal images gathering, so that the rice plant disease on the leaf canopy can be identified by using a thermal imaging camera.
Augmented Reality Virtual House Model Using ARCore Technology Based on Android
Authors: Syahputra M F , Hardywantara F , Andayani U 
Published: July 2020

Abstract
Scale model is a necessary building design in architecture as a way for architects to represent the results of the design as a physical model. The making of scale model requires components that costs some money. With the development of Augmented Reality (AR) technology, designer could bring the model design without having to make a scale model through marker tracking on a brochure. However, with the development of the technology itself, the researcher applies an AR method that can put an object in real environment by detecting flat surfaces. The method is Markerless AR. With this method, the use of marker tracking which requires a marker to remain on the frame of the camera is no longer needed. The technique in the new method will use plane detection that can detect flat surfaces by specifying points on the textures of the frame which is captured by the camera. The necessary stage is to define point cloud that will be used to mark the textures and the plane as a place to put the model in the form of virtual object. Object placed above the plane will remain stable despite having the camera moves around it, the plane will not move around because it is a result of virtual projections. The result of using plane detection will provide a space for the user to observe the model more clearly, such as on a floor or on a table because the model can be rescaled and rotated. Users also can move freely without being hindered by the marker tracking.
Developing Framework for Web Based e-Commerce: Secure-SDLC
Authors: Sugiantoro Bambang , Anshari Muhammad , Sudrajat Danang 
Published: July 2020

Abstract
Software development usually follows the stages known as the Software Development Life Cycle (SDLC). Development begins with the requirements phase and then continues with the design, development of test plans, implementation (coding), testing, and deployment. However, the security aspect has not been explicitly reflected in SDLC. In fact security must be present at every stage of the SDLC. Application of security in the process of developing software, especially e-Commerce, one of which uses the Security Development Lifecycle-Agile (SDL-Agile) method. The advantage of the SDL-Agile method is the application development process which incorporates a safety factor in each application development process, which is concise, and emphasizes user satisfaction. This objective of this paper examine the deployment of SDL Agile Method for eCommerce website to measure its confidentiality, integrity, and availability of the systems.
Visual aid presentation as a learning method: a case study in learning English of management students in Binus University
Authors: Willyarto M N , Werhoru D , Januarta S , Rivaldo  
Published: July 2020

Abstract
Schools, colleges and universities are now embracing the use of visual aid presentation (e.g., PowerPoint) in the classroom. Studies have consistently indicated that students generally believed that the use of technology for oral presentation would facilitate their learning. Students in such condition believed that the class was more organized, clear and interesting. Students also liked the teacher/lecturer more and indicated that they would like to take another class from the teacher/lecturer when the he or she used technology means of presentation. This research was focusing on the perspective of students in Binus University regarding the advantages or disadvantages of this model of learning process in regard of interesting or boring and long or short endurance of understanding. The visual aid presentation here meant that the students were the ones who were performing the presentation, instead of the teacher/lecturer. The research method used was descriptive qualitative based on the survey and interview of some sample students who were chosen randomly, who were taking English course in first/second semester.Based on some researches, the visual aid presentation in learning process was showing positive impact for teachers and students. Therefore, the hypothesis on this research was that the visual aid presentation on learning process would bring an interesting environment, long endurance of understanding and improving students’ behavior. It was expected that the result of this research could be used to improve the learning method of English learning in Binus University in order to support Binus Vision to be a global university and to enrich graduates with the skill of oral presentation.The respondents were selected from management students in Binus, Alam Sutera Campus, and randomly chosen. All of the respondents replied that learning by doing presentations was giving more understanding on topics, boosting up self-confident, teaching public speaking, handling nervous and creating a dynamic class environment to avoid boredom. From the students’ point of view, this learning method was giving advantage for students and long endurance of understanding.
Motor Vehicle Security using Microcontroller, GPS and Android as Innovation to Prevent Motor Thieves
Authors: Sihombing P , Daulay I S , Efendy S , Syarif I 
Published: July 2020

Abstract
Nowadays, transportation plays a big part in our daily lives. Everyday, people in Indonesia are increasingly using vehicles especially motorcycles. Unfortunately, along with the increasing number of motorcycle users, motorcycle theft has also increased. In this paper, we propose the prevention of theft and recovery of motorcycles by using sensors and microcontrollers connected to smartphones. In case of theft, the sensor will be activated automatically and the user will be notified by this system via an alarm warning. Users not only can see the location of the motorcycle at this time but also can turn off the engine through a smartphone even though the distance is long as there is an internet network. The results showed that the system can turn on/off motorcycle engines automatically using an Android Smartphone. The vibration sensor could activate the alarm and send a notification to the owner of a motorcycle. The motorcycle can be monitored by GPS devices that have been embedded on a motorcycle.
Additively weighted Hamming index of graphs
Authors: Mardiningsih  , Suwilo Saib 
Published: July 2020

Abstract
Hamming distance between two vertices of a finite simple graph is defined to be the Hamming distance of rows of (0,1)-matrix of the graph correspond to the two vertices. Hamming index of a graph is the sum of Hamming distances between all pairs of vertices in the graph. In this paper, we introduce the notion of additively weighted Hamming index of graph where the Hamming distance between two vertices is weighted by the sum of the degrees of the two vertices. We discuss the additively weighted Hamming index of a graph with respect to adjacency and incidence matrix of the graph. We relate the additively weighted Hamming index of a graph to the order of the graph, the size of the graph and the degree of each vertex in the graph. We then use this relationship to determine the additively weighted Hamming index of graph whose vertices have almost uniform degree.