bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fourier transform for feature extraction of Electro Encephalo Graph (EEG) signals
Authors: Hindarto H , Muntasa A , Sumarno S 
Published: December 2019

Abstract
Electro Encephalo Graph (EEG) is a device that can capture electrical activity in the brain and inform the mind’s condition such as emotional, fatigue, alertness, health and concentration level. Modelling the EEG signal before classification needs to be done, several studies have been carried out using Wavelet, Power Spectral, or Autoregressive transformations as feature extraction. This study explains the application of K-Nearest Neighbour as a classification and Fourier transform by taking the value of Power Spectral for feature extraction from the wave signal Electro Encephalo Graph (EEG). This study aims to identify EEG signals used for cursor movements. The data used are EEG data originating from the 2003 BCI competition (BCI 2003 Competition). The data contains data class 0 (for movement of the cursor up) and class 1 (for movement of the cursor down). Decision making is done in two stages. In the first stage, the Power Spectral value for each EEG signal is used to extract the feature. The feature is input to K-Nearest Neighbour. In the second stage of the identification process into two classes (class 0 and class 1) EEG signal data files, there are 250 EEG signal file training data and 25 from EEG signal file testing data, so that the total becomes 300 EEG signal data files. The results obtained for the classification of EEG signals are 84 % of the signal data tested.
Study of image reconstructions of Indonesian traffic sign using Criminisi and Hung method
Authors: Asmara R A , Lazim F , Rahutomo F , Ariyanto R , Rahmad C , Nurhasan U , Muhiqqin I 
Published: December 2019

Abstract
Image reconstruction of traffic signs serves in order to improve the image quality of traffic signs that are covered leaves, tree branches or pole so that it can facilitate the process of recognize or detecting traffic signs. Inpainting is one of the image restoration methods to reconstruct images that have been damaged or the removal of unwanted objects where the area to be restored is based on information around the area. Criminisi introduces an inpainting method with an exemplar-based approach that combines the structure-oriented and texture-oriented scheme. While Hung popularized the Criminisi method and combined it with contour construction (Bezier curve). The researcher tried to compare the two methods by using a number of images of traffic signs, one of them by using images with a size of 400 x 407 pixels, issuing the results of Peak Signal to Noise Ratio (PSNR), the Criminisi method gets results from PSNR 36,479 decibel (dB), while the Hung method gets results from PSNR 36,827 dB. This means the result of Hung method is more similar to original image than Criminisi method.
Mobile learning in promoting student’s engagement
Authors: Purwanti Y , Imania K A N , Rahadian D , Bariah S H , Muljanto S 
Published: December 2019

Abstract
Students engagement is an important element in learning. Mobile learning is a learning media that can’t facilitate student’s engagement. The purpose in this study is to measure student’s engagement in problem solving behavior abilities; explanation; and analysis using mobile learning. In this research we used a qualitative research method with a case study approach combined with a literature study. Library studies are needed before or together with case study with the intention that when observers encounter difficulties in the field, they can refer to the theories that have been studied. Or you can compare truth from theory with real events in the field. The field survey was conducted as a first step to find out student involvement especially in 1) problem solving ability, 2) explain or re-express material in the student’s language style, 3) analyze material. With field surveys, we will get a clear picture of how the learning simulation uses the student’s involvement. The engagement of students shows a sufficient tendency to solve problem, explain learning material and analyze.
The 3D simulation of Lorentz Force based on augmented reality technology
Authors: Bakri F , Sumardani D , Muliyati D 
Published: December 2019

Abstract
The Lorentz force concept is classified as an abstract to be understood. The direction of the current, the direction of the magnetic field and the direction of the force generated are difficult to understand without real media. This article will describe the Lorentz Force style simulation by utilizing augmented reality technology. The development of Lorentz force media uses 4D stages (define, design, develop, and disseminate). Interactive media based on augmented reality Lorentz force can display the Lorentz style concept by making changes to magnetic field variables and electric currents. The process of developing this media has been guided by pedagogical content knowledge (PCK). Our simulation successfully displays the relationship between the magnetic field and electric current which is directly proportional to the Lorentz force. AR-based Lorentz force simulation has fulfilled the principle of technological pedagogical content knowledge (TPACK).
Puzzle game solving with breadth first search algorithm
Authors: Rahim R , Dijaya R , Multazam M T , GS A Daengs , Sudrajat D 
Published: December 2019

Abstract
Today’s games have been played by many people from young to old age. There are many types of games, one of which is a puzzle game. Puzzles, which are brain teasers that challenge the skills of their players, never seem to lose their popularity and are never consumed by age. Puzzle is one type of game that is enough to squeeze the brain to solve it. The solution that can be used to simplify problem solving is to apply a search algorithm that is used to check the initial state to the final state and provide the most optimal solution for completing the puzzle, the purpose of this study were using algorithm used to solve these problems using the Breadth First Search algorithm. The use of the Breadth First Search algorithm in solving puzzle games can make it easier for users to get the best solution in the form of completion steps and also the possibility of solving various conditions based on the puzzle conditions that you want to solve.
Model of knowledge portal system for higher education: Literature review
Authors: Syaripudin U , Rahman T K A , Ramdhani M A 
Published: December 2019

Abstract
This study presents a discussion of the Tridharma-based university knowledge portal model (education, research, and community service). This study aims to ensure that lecturers activities are in accordance with the Tridharma of higher education and national standards of higher education. The analytical method used is the literature review, with the object of research being hypothetical colleges in the form of universities. Based on the results of the identification of university needs, the knowledge portal model is required to have the ability to develop lecturer competencies in accordance with the Tridharma of higher education. Knowledge portal is designed to have the ability to manage knowledge well, by providing facilities: information gathering, information categorization, information distribution, information collaboration, information retrieval, and knowledge sharing.
Combination Base64 and GOST algorithm for security process
Authors: Rahim R , Sumarno S , Multazam M T , Thamrin S , Sumantri S H 
Published: December 2019

Abstract
Cryptography in various communications both online and offline is very necessary and generally cryptography is used to secure data in the form of text while non-text data requires special algorithms. Base64 is an encoding algorithm that can convert non-text data into binary data so that the data can be secured with cryptographic algorithms such as the GOST algorithm. The combination of the BASE64 and GOST algorithms is expected to be able to secure all types of data that exist and have the ease of returning to their original form without damaging the original data, besides this combination will increase data security because the combination of these two algorithms produces ciphertext that is difficult to know if the process is done cryptanalyst by third parties. The results of the combination of Base64 and GOST algorithms are expected to be able to deliver dynamic security contributions to various existing data objects so that they can be used both online and offline.
Sleep disorder diagnosis expert system using certainty factor method
Authors: Abidin R J , Kaffah F M , Khaerunisa P , Dauni P , Saputra M I N 
Published: December 2019

Abstract
Sleep disorders is a disorder experienced by a person when the REM and NREM cycle don’t work normally. Prolonged sleep disorders can cause a variety of bad conditions such as depression, fatigue, reduce work, performance and endurance. It quickly offended till affect to our own safety. The latest study in 2018 conducted by Dr. Welly Sondakh, MPH in Jakarta revealed that there were 10% of people with insomnia from the Indonesian population or around 28 million people. The low public awareness of sleep disorders causes them to need alternative media, namely an expert system to diagnose sleep disorders. Expert system is a system that uses the knowledge of an expert to solve a problem in a particular field where the system is not limited by time and can be used by many people. The method used in this system is Certainty Factor as an inference engine to determine the results of the diagnosis based on the symptoms determined. The calculation of this method combines the MB (measure of increased belief) and MD (measure of increased disbelief) values obtained from experts. From 50 test data, 45 data were obtained so that the accuracy level reached 90%. This shows that the expert system of diagnosing sleep disorders is suitable for early diagnosis of sleep disorders.
Local wisdom-based e-encyclopedia as a science learning medium in elementary school
Authors: Kumala F N , Setiawan D A 
Published: December 2019

Abstract
The number of online encyclopedias is still limited and generally, they are not too interesting to be read by students since they tend to load information about unfamiliar animals for students. This paper seeks to describe the use of local wisdom based electronic encyclopedia as a learning media in the Science subject in Elementary school. This research was conducted on elementary school students in the city of Malang with 82 people using data collection instruments. Such as questionnaires and observation sheets. The research was carried out through several stages, namely the analysis stage, production stages, product design and evaluation stage. The finding show that local wisdom-based animal based e- encyclopedia are good in terms of content, presentation, language and the use of online encyclopedia triggers students to be more motivated and enthusiastic to learn during the learning process. The familiar contents and concepts given made a more meaningful learning process for students.
Synchronization of learning management systems with store-and-forward communication using ship to support e-Learning at rural islands
Authors: Sambul A M , Jacobus A , Ruindungan D , Riyaldi A 
Published: December 2019

Abstract
One of the challenges for the people who live in the rural islands of the developing countries is the lack of access to education. Although ICT (Information and Communication Technology) is increasingly regarded as an essential tool to support learning activities in rural areas, the availability of telecommunication infrastructure in such areas is still problematic, primarily because of high implementation cost and low revenue. This study aimed to develop an e-Learning model for the community in the rural islands which utilize ship to deliver to and receive data from the island using store-and-forward communication technique over a transient long-range wireless link established when the ship is at a certain distance from the island. Here we focused on the design of a synchronization method between databases of multiple learning management systems (LMS) between the ship and the island. The design has been implemented and tested using Moodle installed on low-power Raspberry Pi computers. The result showed that our design is suitable to be used in such requirements, hence making it a feasible solution to support ICT-based learning for the people in rural islands.
Fuzzy string implementation matching on android-based encyclopedia and anatomy quiz
Authors: Firdaus M , Mud’is M H , Nurjaman I , Fauzia I , Busro B 
Published: December 2019

Abstract
Encyclopedia anatomy is an android application to introduce anatomy, equipped with a search feature, multiple choice quizzes and guess image quizzes. Due to some anatomical term is uptake from foreign languages and frequently typing errors by a smartphone user, then search feature in this application implement fuzzy string matching method which uses Levenshtein distance algorithm. However, the results obtained are still not accurate, then added method of splitting and indexing, so the results are more accurate and search process fast enough. Due to more simple than a book and supported by a good appearance, this application can get a positive response from the users.
Implementation of Kansei Engineering on academic information system interface design based on Android
Authors: Mud’is M H , Busro B , Faizin B , Ali H 
Published: December 2019

Abstract
One of the goals of the Android Application is to improve the quality of the Academic Information System. This study uses the Kansei Engineering method where the emotional power of users is involved in getting design material that has a strong influence on the Android Application design concept. This study used 17 Kansei Word and 12 specimens as samples of Android applications. Kansei Word is selected from words related to an Android Application display. While specimen samples or Android applications are selected based on different characteristics between Android applications with each other. This study involved 35 participants. To describe the emotion concept to the E-Learning specimen structure, where there are several relationships between variables, multivariate statistical analysis is carried out by involving the Coefficient Correlation Analysis (CCA), Principal Component Analysis (PCA) and Factor Analysis (FA). The results of the CCA analysis of all participants; it can be seen that the emotional correlation between Kansei Word has two relationships, namely strong relationships and weak relationships. Strong relationships are characterized by high values rather than other Kansei Word values.
The 3-D animation of radiation concept using augmented reality technology
Authors: Bakri F , Kencana H P , Permana H , Muliyati D 
Published: December 2019

Abstract
Radiation concept in Nuclear subject in Physics Learning include some devices, such as Geiger Muller counter, Wilson cloud chamber, scintillation detector. This research aims to visualize the radiation concept from that device using augmented reality technology. The result shows the 3-D animation can: describe the mechanism of the Geiger Muller counter detector to detect radiation; describe the mechanism of Wilsons fog chamber detects radiation; and describe the mechanism of the scintillation detector tool to detect radiation. All the markers developed to get a decent value to be used as a medium for learning physics about radiation concept.
Designing website for online business in the agricultural sector
Authors: Warlina L , Siddiq F F , Valentina T 
Published: December 2019

Abstract
The purpose of this research is to discuss designing a website for agriculture so that it can help with every process in marketing in the agricultural sector. The method used in this study was a descriptive method to help describe the entire picture to be easier to understand, supported by several references related to websites and online businesses from several journals and books. The results of this study are a website to improve and win the business competition as a field of promotion and sales of production. In the process of using e-commerce buying and selling activities or more efficient marketing where the use of e-commerce will show the ease of promotion, transactions, cost reduction, and speed up the transaction process.
Design of web-based goods ordering information system in manufacturing companies
Authors: Azhuri F P , Aria M , Hermawan Y A 
Published: December 2019

AbstractThe purpose of this study is to describe the design of information systems for ordering goods in manufacturing companies and can facilitate the company’s operations, especially in marketing products to customers. The method used in this paper uses a descriptive method, a method that presents a complete picture of the situation related to several variable situations that are examined. The results of the design and research show that a web-based goods ordering system is useful to help customers order items without having to come directly to a manufacturing workshop. This research was conducted by discussing the system of procurement of goods, processing of goods and shipping of goods carried out by the company using its website service.
Security camera design using smart phones
Authors: Ramadhan Y , Hartono R , Hermawan Y A 
Published: December 2019

Abstract
The purpose of this study is to identify the importance of using information technology for security, especially for supervision. The method used in this research is a descriptive method, describing the function of using smartphones as a security tool. The results of this study that smartphones can be used as a security tool by using a cellphone camera as a surveillance camera and wireless computer network. This research was carried out with the results of analysis and experiments using previous references and supporting equipment. From the results of this study, it can be found that smartphones can be utilized as security systems. Therefore, the results of this study can be utilized by various parties or can be used as a reference in the use of technology and information.
Hybrid multiple criteria decision and fuzzy c-means for procurement
Authors: Mulyana E , Jumadi J , Bayu A , Wahana A 
Published: December 2019

Abstract
Determining the needs of each item of a product that has many types is something that is difficult to do if done manually. If this happens it will be a problem in decision making by management. As experienced by Cileunyi Collection Store where as of October 2018 the number of goods reached 2,469 types / Stock Keeping Units. (SKU). Production staff find it difficult to analyse how much production needs of each item so influence management decision-making in determining capital decisions and storage space that must be allocated. In this study will be explained the proposed decision support system in the form software application to assist the process of grouping goods and provide recommendations for the procurement of goods based on predetermined criteria in the Cileunyi Collection Store. Two algorithmic approaches, Multiple Decision-Making Criteria (MCDM) and Fuzzy C-Mean (FCM) are used. The MCDM algorithm is used to determine the order or priority in multi-criteria analysis and the FCM algorithm is used to group with the same membership. The Main result of the research is to present that the MCDM and FCM algorithm can provide recommendations for the procurement of goods with various specified criteria. The testing results shows that both of MCDM and FCM algorithm reached 90%.
The introduction of solar system using augmented reality technology
Authors: Tresnawati D , Fatimah D D S , Rayahu S 
Published: December 2019

Abstract
Current technological developments have had a huge impact on education, one of which is Augmented Reality technology. In this study, innovative and alternative media learning was made to understand the types of planets in the solar system. The solar system is one of the materials in natural science subjects in elementary schools. This media learning combines picture cards and virtual reality. Markers found on the card will be captured by the camera of the mobile device, processed and animated pieces will appear on the mobile screen in real-time. By using the concept of combining the real world, real images on the card and virtual, the application can stimulate imagination and a sense of desire and motivation to learn more and more. Planet estimates are made using the 3D Blender application, and the Augmented Reader process is created using Unity and Vuforia Software Development Kit. Based on the results of beta testing using the Likert scale, 86% of the 30 respondents stated that the application developed was effective as a medium for the introduction of the planet.
Design of expert system to determine the proper diet using harmony search method
Authors: Firmansyah E , Rosmawati R , Fuadi R S , Fauzy D , Ramdhani M A 
Published: December 2019

Abstract
Excess or lack of nutrients contained in food will cause a problem in the body. To solve this problem easily, a computerized system is needed that can provide some advice on the amount and type of food that needed to be consumed. The aim of this study is to design an expert system which addresses individual diet based on calorie activities and body needs. This study uses the Prototype as a software development methodology and Data Flow Diagram (DFD) as a software model. This expert system uses a harmony search algorithm to determine the amount of food with Harris-Benedict formula to calculate the body’s calorie needs. The results of functional system testing and based on the assessment of nutritionists, this expert system have been worked well for people with normal body metabolism.
Hybrid principal component analysis and K-nearest neighbour to detect the catfish disease
Authors: Maylawati D S , Andrian R , Sunarto S , Wildanuddin M , Wahana A 
Published: December 2019

Abstract
Catfish cultivation in Indonesia is a very promising business opportunity with a big profits. Every year, market demand continues to increase. However, this is contrary with the lack of catfish farmer’s knowledge, so that catfish yields are not optimal. This is because, for certain types of catfish such as Sangkuriang catfish, it is easy to contract certain diseases. This study aims to create an automated system that capable of detecting catfish disease based on its symptoms with image recognition techniques. Early detection of catfish disease can help to find out the causes and prevention, so that the yield remains optimally. The method that used in this study is Principal Component Analysis (PCA) for feature extraction in images combined with K-Nearest Neighbour (KNN) with Euclidean Distance to classify catfish diseases among others: white spots, edema (abdominal swelling), jaundice, and bent spinal disease (scoliosis and lordosis). Based on the results of the experiment using 30 images data for training and 20 images data for testing, 18 image data is classified correctly. This result proves that PCA and KNN able to detect catfish disease well with percentage of accuracy around 90%.
News recommendation system using collaborative filtering method
Authors: Wahana A , Maylawati D S , Wiwaha B A , Ramdhani M A , Amin A S 
Published: December 2019

Abstract
In the era of Internet of Things (IoT), various facts, news, and up-to-date information are presented online that can be accessed quickly, anytime, and anywhere. However, sometimes the news which displayed is not up-to-date or not in accordance with the interests of the reader. This study aims to build a system that can recommend the latest news, which is most often accessed, and that is in accordance with the interests of the reader. The method that used in this study is Collaborative Filtering (CF) to rank news as the best recommendation for readers. Based on the results of experiments conducted on 19 examples of news, the percentage of accuracy results of the recommendations was around 84.2% compared to the manual calculation. This shows that CF capable to provide news recommendations good enough.