bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

Abstract
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

Abstract
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

Abstract
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

AbstractUser 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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.
Combination of Blowfish Algorithm First of File Algorithm and End of File Algorithm on Image Security
Authors: Rachmawati Dian , Budiman Mohammad Andri , Fattahurrahman H N M 
Published: July 2019

Abstract
In this age, there are many types of information. An image is a form of information that can be sent from anyone to anyone in various ways. But in the shipping process, there is often a hijacking or theft by an unwanted party. So that information must be secured by cryptography to avoid this. To add a sense of security between the sender and recipient, cryptography will be combined with steganography. In this study, the Blowfish Algorithm was combined with First Of File and End Of File steganography methods. Information that has been encrypted will be inserted into other media. Likewise for the recipient, can extract information then decrypt information. Based on experiments conducted on the Blowfish algorithm, the time of encryption and decryption needed when the resolution of the image gets larger is linearly proportional to the value. MSE gets smaller, and the PSNR value gets higher, it shows better image quality. Cover image will increase in size after the embedding process so that it becomes a stego image.
Application of Digital Sound Recognition on Piano Tones Using MFCC and LVQ
Authors: Ardiansyah M , Rahmat R F , Adnan S , Anugrahwaty R 
Published: July 2019

Abstract
In playing musical instruments especially the piano, a musician needs a score as the guidance to play the song. A score is a music sheet used by an artist to store or deliver a song. Many pianists do not have the expertise to create a score, especially in the making of spontaneous music. Therefore, an app is required to assist the pianists in the creation process of scores for piano music sounds. Mel-Frequency Cepstral Coefficient (MFCC) extraction method and Learning Vector Quantization method were implemented to build the application. The MFCC method was used to extract the vectors that reside in a song, while LVQ method was applied to match the testing data with the trained data. The output of this system is a musical score of the inputted song.
Implementation of Vector Algebra and The Hybrid Pseudo Random Number Generator in Android Game of Kuaci
Authors: Rahmat R F , Ramadhana S , Faza S , Fawwaz I , Nababan E B 
Published: July 2019

Abstract
Kuaci is a game property made of plastic and has various unique shapes. Two to ten people usually play Kuaci game in turn. The game starts with determining how many Kuaci will be at stake, and then each player puts the Kuaci into a box. At a distance of one foot from the box, a first straight line is made, and at a distance of two meters from the first line, the second line is created. From the second line, the kuaci master is thrown to the first line to determine the turn. The player’s turn is sorted from the closest one to the first line to the furthest from the first line. The first player tosses the Kuaci master into the box until the Kuaci master and the regular pieces located inside the box are out, then from the place where the Kuaci was thrown, the player aims at the opponent to eliminate it. If other players have been eliminated, then the player has won the game. The game was built on Android smartphone that has recently become the biggest contributor to the technological development of the traditional games. The authors implemented Vector Algebra in determining the direction of the computer player Kuaci master and The Hybrid Pseudo Random Number Generator on the determination of the throwing power of the computer player Kuaci master so the computer player can balance the game with the user. These methods implementation is to assure the user to play the game without eliminating the essence of the game such as managing the strategy to defeat the opponent. As a result, the performance of the opponent’s Kuaci master can run according to the difficulty of each game.