bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparation Between Linear and Polynomial Kernel Function For Ovarium Cancer Classification
Authors: Samosir R S , Gaol F L , Abbas B S , Sabarguna B S , Heryadi Y 
Published: July 2019

Abstract
Ovarium cancer is a kind of cancer disease which often attacks a woman. Ovarium cancer consists of benign and malignant type. Based on the data set obtained, this research try to classify the data set with support vector machine algorithm. The principle of SVM is how to identify a hyperplanes with maximal margin. Hyperplanes is a border line between the data. Here, we will used two kernel function in SVM, linear and polynomial kernel function. Next We will compare both of them algorithm to reach the hyperplanes with maximal margin. The hyperplanes then used to predict the class of data testing given. Finally, comparation result will be obtained from confussion matrix and accuration calculation for each kernel function while used to classify the ovarium cancer data set. Accuration result with Linear kernel function is 68.98% for first schema and 66.67% for second schema. Then accuration result with Polynomial Kernel Function is 83.79% for both of schema.
The Heart Attack Detection by ESP8266 Data Communication at a Real Time to Avoid Sudden Death
Authors: Sihombing Poltak , Manullang Mangasa , Sitompul Dahlan , Sri Dumayanti Imelda 
Published: July 2019

Abstract
The problem Heart attack is one of the causes of death at this time. A person may not realize that he suddenly experiences an improper heartbeat so that a sudden heart attack can result in sudden death. Usually a traditional heart rate calculation has been done using hardware such as oximeters or electrocardiogram devices. Although this device has a reliable method for normal users, the use of this device takes a long time to carry out the inspection process. In this paper, we propose a method that can detect heartbeats that are detect directly and can be shared to several telephone numbers of family users, hospitals, paramedics, or private doctors. We developed an internet of thing method that integrates a pulse sensor, microcontrollers and Wi-Fi series data communication device modules ESP8266. The detection of pulse sensors attached of the patient’s body (users) and the microcontroller will be sent in a real time by the ESP8266 circuit module to the several smartphone numbers that have been set it before. The result and benefit of this method is that the patient (user) can be helped immediately if there is a heart rate abnormality, because of the heart rate detection results will spread to the several other people so that the patient (user) can be helped immediately before the condition becomes more fatal.
Bioinformatics approach of polyprenol reductase in Hevea brasiliensis
Authors: Basyuni M , Hayati R , Pratomo B , Lisnawita  , Sagami H 
Published: July 2019

Abstract

Hevea brasiliensis Mull. Arg. (rubber plant) is now used utterly for the commercial production of natural rubber, mainly of cis-1, 4-polyisoprenoid. The current study assesses the bioinformatics approaches to assay four probably polyprenol reductase genes from Hevea brasileinsis on NCBI database as well as expected the physicochemical, subcellular localisation, and phylogenetic of polyprenol reductase. Several parameters of physicochemical polyprenol reductase in H. brasiliensis were varied among the genes observed. The predictable half-life of polyprenol reductase in this study was similar to polyprenols reductase from other majorities of plant species. Based on stability coefficients, there were no stable proteins; all polyprenol reductase genes were non-stable proteins. It is notable that mitochondria target peptide value diverse from 0.053 to 0.101, signifying that is expected to be a presence. To clarify the homology in the midst of the polyprenol reductase gene in Euphorbiaceae family, a dendrogram tree was constructed. The close relationship among polyprenol reductase genes: environs may interpret Kandelia obovata, Ricinus communis, Manihot esculenta with rubber plant in the polyprenol reductase environs in the tropical rain forests. The present results indicated the prominence of understanding the variation and role of physical and chemical characteristics of the distinct amino acids in plant polyprenol reductase genes in H. brasiliensis.
Comparison of the Approach in the Zakat Management System
Authors: Lubis Muharman , Ridho Lubis Arif , Almaarif Ahmad 
Published: July 2019

Abstract
Zakat institution have been essential entity in the collection and distribution process of zakat management effectively and efficiently. Although, it is clear that there are some difficulties, which require great attention such as transparency, accessibility, fairness and compatibility due to cultural, geographical and political context. The purpose of this paper is to analyse the common approaches used in various countries through comparison in the best practice of managing zakat fund. It is expected to provide more understanding on the business process and visualization for the purpose of improvement. The contribution of this paper is twofold, firstly, the zakat institution, regardless the limitation or boundary should identify the primary requirement in zakat management system with focusing on the alignment between the model used and the proper application system. Secondly, the findings may provide insight on how the zakat institutions can further improve their use of technology and handle their human capital to deliver more effective and efficient process.
Implementation of Microservices Architecture for Application of Cyclooxygenase-2 Inhibitors Identifier
Authors: Adi P. S. , Istyastono E. P. 
Published: July 2019

Abstract
The identification of drug compounds that react to the body’s cells is known as structure screening. This process can be assisted by a computer known as Structure-Based Virtual Screening (SBVS). This virtual screening process has been carried out by Istyastono for Cyclooxygenase-2 (COX-2). The screening process that has been carried out needs to be documented so that researchers can utilize for further research. Web-based applications with microservices architecture were chosen to develop a means of compound documentation because this application will be developed by bringing together two platforms, web and Linux shell script. An urgent need for this application to be built with the microservices architecture is the speed of application development for other enzymes based on this application. Application consist of web user interface, web service, data access and compound table. These components are mutually independent. Based on the results of implementation and discussion, the microservices architecture has provided guidance in developing applications so that applications are quickly built and easy to maintain and develop. It can be done because application is developed independently of each other.
Modification of chipertext Elgamal algorithm using split merge
Authors: Asri Rahmadi , Nasution Mahyuddin K.M , Suherman Suherman 
Published: July 2019

Abstract
The development of increasingly sophisticated technology with more intensive use of computers facilitates human work activities, so that security problems arise that misuse information that can endanger users. The third parties who commit crimes against users are called cryptanalyst. Cryptanalyst interferes with computer networks in many forms such as data theft. Cryptography is a security solution for cryptanalysts; one of them is by using the El-Gamal algorithm. Researchers have proposed El-Gamal modification with good results, but not all security problems can be solved. The algorithm cannot guarantee protection against the adaptive attack. This article proposes the application of split merge method on the El-Gamal algorithm to improve security. The study describes the system analysis and design. Since the combination uses large prime number calculations, it is expected to be effective to make cryptanalyst more difficult to break the plaintext.
Combination of myszkowski transposition algorithm and modified least significant bit (mlsb) green channel on png image security
Authors: Hardi S M , Rachmawati D , Chairinnisa F , Jaya I , Tarigan J T 
Published: July 2019

Abstract
On sending images via the internet, such as email, social media, and other are very vulnerable to technological crimes such as tapping, or modification. Without security guarantees, others can easily get messages sent over the internet. In this research, combined cryptographic algorithms and steganography. Cryptographic methods can ensure the security of data information by convering it into random codes, however making the data can’t be read and understood by others. One of the cryptographic methods used by the author is the Myszkowski Transposition Algorithm. But the use of such encryption method does not always guarantee data security because the data is messy with other words can be regarded as unusual and suspicious. This algorithm also has the disadvantage that as complicated as any we do transposition or permutation on the characters in plaintext, we just do a randomization of the order of plaintext but we don’t change it. So it must be combined with steganography technique that is using Modified Least Significant Bit (MLSB), so the message is not visible inserted visible. Therefore, if the information is on the wrong side will cause losses. The result of this study indicate that the Myszkowski Transposition algorithm and Green Channel Modified Least Significant Bit (MLSB) on PNG image coverage, can restore the image as before. So it can be concluded that the Myszkowski Transposition algorithm and Modified Least Significant Bit (MLSB) is capable of securing the message. Therefore, it can be concluded that the bigger the image size will be the longer the process.
Designing Open Server for Educational Question Resource
Authors: Zamzami Elvyawati M , Timanta Tarigan Jos , Jaya Ivan , Melvani Hardi Sri , Fadly Syah Putra Mohammad 
Published: July 2019

Abstract
Information technology has become a vital component in modern teaching. Today’s educators have significantly depended on the internet to increase the quality of the education especially in accessing new content for teaching material. Hence, it is important to aid the teacher by providing a well-structured and high-quality content. The Open Educational Resource movement, initiated by UNESCO in 2002, is aimed to perform the aid for teachers. In this paper, we propose an architecture of an open server for educational questions. The purpose of the system is to provide freely-accessible high-quality questions that can be used by educators to evaluate the study result. By providing enough information regarding the content, teachers can develop a well-structured test to be used in their classes.
A Visualisation of 3D Lung Anatomy with Augmented Reality as Interactive Medical Learning
Authors: Andayani U , Siregar B , Hernina Pulungan Sapri , Syahputra M F , Muchtar M A , Arisandi D 
Published: July 2019

Abstract
Breathing is the process of breathing air or the movement of oxygenated (O2) external air into the body or lungs and exhaling air containing carbon dioxide (CO2) as residual oxidation out of the body. There are several organs that act as the respiratory system organs such as the nose, oesophagus, pharynx, larynx, trachea, bronchus, and lungs. Augmented reality can be utilized as a learning medium for the recognition of anatomy of the respiratory system organs presented in 3D with animation. In this research, to build the object to be used, researchers use blender software for object modelling process. To be able to display 3D objects, researchers apply target image techniques, namely by using a marker obtained from the book Sobotta Human Atlas Anatomy is adapted to the needs of preclinical medical students. When AR Camera captures the marker, the camera detects the pattern contained in the marker, and then matches the data stored in the database. When the pattern is found and there is conformity to that stored in the database, the application will display the 3D objects of the organ of the respiratory system with Augmented Reality technology. The optimal distance of marker detection is 15 - 35 cm, with a 30° – 90° inclination angles.
Optimization of tilt angle of a solar collector in Medan city using genetic algorithm
Authors: Corinthia C. , Ambarita H. 
Published: July 2019

Abstract
Solar energy is one of the renewable energy resources that is not limited in its use and it does not cause pollution. One form of solar energy utilization that is often found is to produce electricity with the using of photovoltaics or solar panels. The main problem with solar energy is the instability of power which generated by the solar panels because it depends on the sunlight intensity which accepted by the solar panels. The intensity of sunlight received by the solar panels can be maximized by installing solar panels with a right angle so it will be obtained the maximum output power. In this study, the optimization of the slope angle of solar panels will be analysed using the Genetic Algorithm method. The results obtained are the optimal optimum slope of the panel from January, February, March, April, May, June, July, August, September, October, November and December are 53.839 55, 55.121°, 53.938°, 53.442°, 54.398°, 53.441°, 53.009°, 52.933°, 54.709°, 57.055°, 57.169°, 54, 632°.
Automated Bahasa Indonesia essay evaluation with latent semantic analysis
Authors: Amalia A , Gunawan D , Fithri Y , Aulia I 
Published: July 2019

Abstract
Essay Examination is one of many ways to evaluate the learning process of students. The Essay test can measure a student’s capability of memory and to develop an idea. With the vast development of Information Technology, an essay test is done in a more sophisticated way with a platform called e-learning. This research implemented an e-learning interface to conduct an essay test, starting with giving out questions, answering it and marking it. The system will generate an automatic mark, using the Latent Semantic Analysis (LSA) method by measuring the relevance of the key answer and the student’s answer. Before entering the LSA phase, the answer will go through pre-processing step which is cleansing, case folding, tokenization, stop word, convert negation and stemming. The result of the accuracy of this system compared to teacher’s manual assessment is 83.3%. Expectedly, this research will help teachers in making their assessment process more efficient.
Social Network Mining: A discussion
Authors: Nasution M K M 
Published: July 2019

Abstract
Social network is model in order to structuring social. In knowledge management, social structures need to be revealed to see social behavior and social change based on the interactions that have taken place. In knowledge technology, the semantic social structure is extracted from information sources to interpret social behavior and its changes, and the meaning is supported by social network analysis. However, social networks do not only reveal social structures and manage them, but social recognition by exploring the potential of social members (social actors) and the community so as to present competitiveness. Competence is defined by the existence of social actors, while the existence of social actors is expressed from the relationship between them whereby the relationship also proves the meaning the competence. By involving artificial intelligence (AI), the meaning can be affirmed in a variety of different ways depending on the treatment given to the source of information so that it is possible to predict and express on the characteristics and behavior of the data. It based on forensic data and information retrieval, for trusty information is generated. Moreover, social network mining is present by considering social network data and the resultant of extraction method so that social networks not only contain information but become knowledge. This serves to bridge the social network analysis gap based on primary and secondary data, so social engineering is possible by exploring all the potential presented by social network extraction.
Optimization of Temperature on The Concentration of a Mixture of Substances in Liquid Waste Treatment Process Palm Oil
Authors: Tulus  , Marpaung T.J. 
Published: July 2019

Abstract
One process of mixing two types of chemicals (reactants) or more to produce a product can be seen in the processing of palm oil waste. In the processing of palm oil waste two reactants or more mixed in a reactor produce a chemical process. Where the chemical process, conducted to produce a product in this case is a fertilizer. When in the chemical process the reactant concentration is enlarged, the reaction rate in the chemical reaction will be faster. So it will produce a more optimal product. As is known if if the temperature is raised then the reaction rate will run faster. When the temperature is raised, the reactant particles will move faster so that the kinetic energy is greater. Therefore, in the completion of this study use Newton’s law and Fourier’s law. From these two laws will be obtained partial differential equations associated with temperature and concentration of substances. From the equation we will get the optimum temperature in raising the right temperature of 334 K. The settlement is obtained from finite element method applied in simulation with COMSOL Multiphysic program.
Optimized uptake time of 18F-THK5351 PET/CT in normal Thai brain
Authors: Thonglim Pachara , Chotipanich Chanisa , Buranasiri Prathan 
Published: July 2019

Abstract
This study investigated 18F-THK5351 positron emission tomography-computed tomography (PET/CT) images to determine the optimized imaging time of radiopharmaceutical PET/CT in normal Thai population. Seventeen volunteers without any neurological or psychiatric illnesses, who showed no abnormalities upon neurological examination and the standardized uptake value ratio, were included. All subjects were diagnosed using 18F-THK5351 PET/CT and 3.0 Tesla magnetic resonance imaging (MRI). THK5351 PET/CT was operated on the co-registered MRI to draw a region of interest (ROI). A digital imaging and communications in a medical file were converted to a .img file. Next, the image file was rendered from discrete time to continuous time for plotting graphs. The ROI positions and rendered file were then used to plot a graph showing the relationship between the radiopharmaceutical uptake quantity and the interval time to determine the optimized uptake time of THK5351 PET/CT for the brains of normal Thai population, which was consequently 40–60 min.
Bimodal habitat use in brood parasitic Common Cuckoos (Cuculus canorus) revealed by GPS telemetry
Authors: Moskát Csaba , Bán Miklós , Fülöp Attila , Bereczki Judit , Hauber Márk E 
Published: July 2019

AbstractObligate brood parasitic birds have evolved a rare avian strategy for reproduction by laying eggs in the nests of other species. In doing so, their breeding ranges, but not necessarily their foraging habitats, have become intimately related to the nesting territories of their hosts. We studied home range sizes and distribution patterns in Common Cuckoos (Cuculus canorus) on their breeding grounds in central Hungary, where cuckoos parasitize only Great Reed Warblers (Acrocephalus arundinaceus) in channel-side reed-beds at a high frequency (>50%). The geographic coordinates of tagged cuckoos were monitored by high-precision, remotely downloadable non-Platform Terminal Transmitter global positioning system (GPS) loggers, attached to 9 females and 6 males. Our results revealed bimodal use of habitat patches: (1) the home ranges of male and female cuckoos were packed densely along the channels where the hosts breed, and their distribution maps had high overlaps between sexes; (2) ~71% of cuckoos also visited nearby woodland patches, presumably for foraging, where the host species was not present. The size of cuckoo home ranges varied to an unusually great extent: 0.3–185 km2 as calculated by the minimum convex polygon method (85%), or 1–17 km2 when calculated by the more suitable kernel density estimation (KDE) method (Utilization Distribution 85%) for patchy habitats. Male and female cuckoos had similar home range sizes as estimated by the KDE method, consisting of 1–4 areas within the 2 habitat types of channel reed-beds and woodlands. No preference was revealed for night roosting locations between the 2 habitats or sexes. Female cuckoos were more likely to use reed-beds in the afternoons, when females parasitize host nests. Remote downloadable GPS methods offer an effective way of tracking cuckoos across large areas, but the estimation of home range sizes requires caution due to this species’ patchy and disconnected habitat use.
Long-term winter-site fidelity in Song Sparrows (Melospiza melodia)
Authors: Kelly Tosha R , Hobson Keith A , Casbourn Garth W , MacDougall-Shackleton Elizabeth A , MacDougall-Shackleton Scott A 
Published: July 2019

AbstractIn migratory animals, the degree to which individuals return to the same wintering sites across multiple years can affect fitness and population dynamics, and thus has important implications for conservation. Despite this, long-term evaluations of wintering-site fidelity are rare for migratory birds: many populations are intensively studied on their breeding grounds but tracking the migratory movements of small birds once they leave the breeding grounds is challenging. To evaluate patterns of overwintering location and fidelity, we collected winter-grown claw tissue from 301 Song Sparrows (Melospiza melodia; 449 samples) captured in spring at their breeding grounds over 6 consecutive yr and assessed stable hydrogen isotope (δ2Hc) values to determine within-individual repeatability and between-year variation in wintering latitudes. We also retrieved useable data from 8 geolocators over 2 consecutive winters. Geolocator-derived wintering positions correlated with origins based on δ2Hc values. Consistent with previous findings, male δ2Hc values reflected more northerly wintering areas than those of females, indicating shorter latitudinal migration distances for males, but the magnitude of the sex difference varied across years. The distribution of wintering latitudes was generally consistent among years, except for the 2015 舑2016 winter, which had unusually negative δ2Hc values. Values of δ2Hc were repeatable for males but not for females, suggesting that winter-site fidelity could differ between sexes. The data presented here emphasize the importance of tracking migratory populations across multiple years to uncover factors affecting population dynamics.