bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Development of Heart Rate Detection Using Arduino Microcontroller and Android
Authors: Sihombing Poltak , Barus Yose E , Sembiring Sajadin , Zamzami Elviwati M 
Published: July 2020

Abstract
Nowadays heart attack is becoming a very deadly disease of human. This attack cannot be predicted, but it can be known from the human heartbeat which is a very vital health parameter of the human cardiovascular system. Heart rate reflects the health conditions of the human cardiovascular system that determined by such as stress at work, before or after sports and the psychology factor. Unfortunately, some people do not know their heart rate before or after doing an activity. This paper proposes of measuring technique of heart rate by using pulse sensor, Arduino microcontroller, and Android Smartphone. It is based on the principle of measuring the variation of blood volume in our body using a light source and detector. We also measure the heart rate by using the ECG or EKG (electrocardiogram) waveform as the comparison result of the pulse sensor with ECG waveform. The sensor consists of an infrared light-emitting-diode (LED) and a photodiode. The LED transmits an infrared light into the fingertip which is reflected back from the blood inside of finger arteries. The results show that this tool can detect the value of the heart rate and is displayed on the screen of an Android. The sensor takes under 10 seconds to detect the value of the heart rate. Notification via SMS will be sent the heart rate such as under normal conditions (BPM, Beat Per Minute <50, normal (BPM = 60 to 100) or above normal (BPM> 100).
Architectural Models for Predicting the Amount of Natural Disasters and their Effects Using Batch Training
Authors: Ginantra N L S R , Kesuma S , Achmad Daengs G S , Bhawika G W , Mulyani N , Hasian I , Siagian Y 
Published: July 2020

Abstract
The Batch Training method is one of the methods of Artificial Neural Networks that can be used to make predictions, especially in times series data. This method is able to make predictions by learning from data that has never happened before by forming the right network architecture model. Therefore, this research will discuss the best network architecture model that is appropriate for making predictions using the Batch Training method. The data used in this study is the data of Natural Disasters in Indonesia, sourced from the National Disaster Management Agency. There are 12 variables used, namely Time of disaster, Number of disasters, Death and missing victims, injured victims, victims suffering and displaced, seriously damaged houses, lightly damaged homes, submerged houses, damage to health facilities, damage to worship facilities, and damage to facilities education. Based on this data will be formed and determined the network architecture model used, including 4-5-1, 4-10-1 and 4-15-1. From these 3 models after training and testing, the best architectural model is obtained 4-10-1 with an accuracy level of 91% with MSE Training and testing values of 0.0245532940 and 0.0579265906.
Outcome Prediction Using Naïve Bayes Algorithm in The Selection of Role Hero Mobile Legend
Authors: Chan A S , Fachrizal F , Lubis A R 
Published: July 2020

Abstract
According to the e-Marketer market research institute, the net population of the country reached 83.7 million people in 2014. With this amount, Indonesia has been included in the 20 most internet user countries in the world. MOBA is currently in great demand. The high level of competition of this type of MOBA game attracts a lot of game players’ attention to tournaments or competitions officially both regionally and internationally. In 2013 there were around 71.5 million e-Sports enthusiasts around the world. Every year the number of Indonesian gamers is estimated to increase by around 33 percent. With a growth of 33 percent, this certainly makes a great opportunity for game developers. Currently, the games circulating in Indonesia is mostly from foreign countries such as America, Japan, and South Korea. Each hero has a different role (ability). The foresight of players and the ability of individual skills are determined by selecting the composition of hero roles on a team to achieve victory in the legendary mobile gameplay. Naive Bayes Classifier is the simple Statistical Bayesian Classifier. Naive Bayes is able to classify role heroes well enough to predict the victory based on the role hero chosen by the player. Naïve Bayes implementation can explore the characteristics of the attribute and dataset of the chosen role hero. Naïve Bayes algorithm method can predict the Victory in mobile legend gameplay from existing hero roles based on datasets and training data.
Application of Blended Learning Supporting Digital Education 4.0
Authors: Jaya Saragih Maradoni , Mas Rizky Yohannes Cristanto Raden , Effendi Yusri , Zamzami Elviawaty M. 
Published: July 2020

AbstractThe learning process undertaken by each school is face-to-face between educators and students; of course, this method will lose its appeal to meet digital education 4.0. So that education personnel and students should be able to adjust the p Indonesia Economic technology and information that constitute a significant role as a medium for help, search, analyze, and obtain information about learning. The learning process to welcome digital education 4.0 cannot be separated from various computer devices, the internet, which can be done online (e-learning). To get good learning outcomes, of course, technological development (e-learning) must be able to benefit right, without having to leave face-to-face learning (face-to-face). For this reason, there are teaching models/strategies, teaching delivery, and the right quality of teaching, one of which is the Blended Learning Model. Blended learning is a learning model that combines the advantages of face-to-face learning models with e-learning learning models. With blended learning interaction and communication between educators and students can take place because this model is one of the active learning methods to deal with digital education 4.0.
The Content Analysis of Electoral Act in Indonesia: The Comparison of Percent Agreement and Cohen Kappa
Authors: Lubis Muharman , Ridho Lubis Arif , Rosmaini Elly 
Published: July 2020

Abstract
This study investigates the legality of practitioners in interpreting UU PP (Electoral Act) to provide guidance in technical and managerial aspects especially in relation with principle of privacy by applying content analysis with percent agreement and Cohen Kappa. Thus, this study design code paper to be distributed to 21 coders to gain more understanding the approach which is appropriate to synergize various interest in election to bring more appropriate management to align with voters expectation especially in regard to privacy policy. The highest disagreement among coders occurred between coder 8 and 20 with -0.285 of Cohen Kappa and 0 of percent agreement while the highest agreement between coder 2 and 7 with 0.727 of Cohen Kappa and 93.2 of percent agreement.
An Evaluation of the Udacity MOOC based on Instructional and Interface Design Principles
Authors: Anyatasia F N , Santoso H B , Junus K 
Published: July 2020

Abstract
Since the first appearance of the Massive Open Online Course (MOOC), the problem of low completion rates in MOOC has often been an object of research in terms of the instructional design and interface design. However, in-depth studies that examine the implementation of instructional and interface design principles in learning on the MOOC platform are still limited. Therefore, the purpose of this study is to find out the extent of Udacity in applying those principles from the Indonesian perspective. This study also aims to evaluate the usability of the MOOC platform. There are 228 participants in this study from various regions in Indonesia. The study findings indicate that Udacity has been successful in implementing content, interactivity, and course design, but there is still room for improvement in terms of instructor presence. Some usability problems were also found, and most of them are related to the online discussion forum. This study also offers an alternative design and recommendations to tackle the problems.
Lecturer and employees presence system based on GPS using a fingerprint on mobile devices
Authors: Tanjung K , Gumelar W , Fahmi F 
Published: July 2020

Abstract
The lecturer and employee attendance system that is widely used today is the system using a fingerprint device that is placed in every department or faculty. This system has shortcomings such as the limited availability of fingerprint scanners, the presence of presence equipment that is far from the work location, and dependence on the presence tool. So with this weakness, the presence application system is based on mobile apps that use GPS and fingerprints to facilitate lecturers and staff in making a presence while in the presence area or where they work. With this system, this will make the presence and processing of presence data more accessible and more efficient, so that it can help maximize the process of gathering and processing the presence data. From the system testing, the system can process employee data, display the results of the daily attendance, and can store the results of the presence and obtained system sensitivity of 65%, specificity of 70% and system accuracy of 72%.
Collaborative Recommendation System in Users of Anime Films
Authors: Girsang A S , Al Faruq B , Herlianto H R , Simbolon S 
Published: July 2020

Abstract
The recommendation system is one method to know the preference consumer by showing the potential object. This recommendation also helps the consumer gets the preference object. One of the popular objects in the recommendation is anime film. In this case, we conduct research to recommend anime films based on ratings of previously watched films. Collaborative filtering is a technique that consists of calculating similarities, predictions, and recommendations. This study is taken from dataset Kaggle which consists of 73,516 users and 12,294 anime. A user’s history will be matched with the whole user’s history with alternating least squares (ALS) method. The anime will be recommended based on that results. This method is expected to help millions of users find the desired anime.
Implementing DSDM and OO Method to Develop Billing in Mental Hospital
Authors: Rohajawati S , Rahayu P , Akbar H , Indria S , Sensuse D I 
Published: July 2020

Abstract
At present, there are many Information Systems Development methodologies. However, we have to select the suitable one related to the problems. This paper presents an implementation of the Dynamic Systems Development Methodology (DSDM) and Object-Oriented (OO) as two combine methods to develop an application of billing in a mental hospital (study case in Indonesia). The application allows the management of the mental hospitals to control and evaluate patient services, and it supports decision-makers for improving the organization. Based on literature studies, we obtained the suitable two methods for DSDM adjusted to the resources, the time frame, the goals, and the required functionality. Meanwhile OO is a highly iterative approach. Data results of the interviews, questionnaires, observations, and artifacts were analyzed according to the user requirement process. The study can be concluded that DSDM and OO method is effective in developing an application. The paper depicted problems in facts finding.
On using Euler’s Factorization Algorithm to Factor RSA Modulus
Authors: Budiman M A , Zarlis M , Sitompul O S , Mawengkang H 
Published: July 2020

Abstract
The RSA public key cryptosystem was among the first algorithms to implement the Diffie-Hellman key exchange protocol. At the core of RSA’s security is the problem of factoring its modulus, a very large integer, into its prime factors. In this study, we show a step-by-step tutorial on how to factor the RSA modulus using Euler’s factorization algorithm, an algorithm that belongs to the class of exact algorithms. The Euler’s factorization algorithm is implemented in Python programming language. In this experiment, we also record the relation between the length of the RSA moduli and its factorization time. As a result, this study shows that the Euler’s factorization algorithm can be used to factor small modulus of RSA, the correlation between the factoring time and the size of RSA modulus is directly proportional, and better selection of some Euler’s parameters may lead to lower factoring time.
Land Suitability Analysis of Over the Horizon Surface Radar for Sea Defense using Geographic Information System
Authors: Kurniawan F , Bura R O , Lestari A A 
Published: July 2020

Abstract
Study of Land suitability using Geographic Information Systems (GIS) is a way to determine the location for many fields, including in the defense field. The Sunda Strait is part of the international shipping route where there are several cases of international smuggling in this region, so that it becomes a concern for Indonesia defense. The concept of marine defense by applying Radar is something must be done at this time. Over The Horizon (OTH) Surface Radar is a type of High-Frequency (HF) radar with a detection distance that goes beyond the earth horizon. Research on OTH Surface Radar Placement is something that can be done at this time, considering Indonesia has not applied it at this time. The method used in this study is to determine the best placement by comparing the parameters of two types of OTH Surface Radar that have been used in other countries to determine the criteria of placement parameters. The analysis process will use the Analysis Hierarchy Process (AHP) by determining the importance of the parameters for OTH Surface Radar Land Suitability. The GIS process is carried out using the Overlay method which is used to determine the suitability based on a matrix of geographic parameters obtained between weight and class. The result is one suitable location to be the main area in the placement of OTH Surface radars for defense in the Sunda Strait located in the district of Pulo Merak, Serang Regency.
Modeling And Simulating The Design of Air Defense Missile Aerodynamic Systems
Authors: Harahap A I , Bura R O , Ruyat Y 
Published: July 2020

Abstract
This paper is an academic study that discusses how to design air defense missile modeling and simulation, as a missile development strategy for the Indonesian National Army. Aerodynamic is the most important part of missile development, which regulates lift, drag, thrust and other parts that interact directly with air. The success of developing a rocket that has reached level 7 technology mastery readiness (Prototype Tested), can be a starting point to seriously initiate the development of Indonesian Missiles. The initial design process was based on the specifications of the 122 mm caliber defense rocket, the length of 2810 mm, the weight of the 60.8 kg rocket and the 15 kg warhead with an overall range of 30.5 km that would be adjusted to the initial configuration of the air defense missile. Aerodynamic testing will be carried out on Solid Work, Ansys and Missile Datcom software which will be compared with the results of each other. This development strategy can optimize the rocket products that have been successfully developed by Indonesia, because the sustainability of the rocket mastery will be very useful to be used as a basis for missile development, specifically in terminal air defense missiles, which is the weak point of Indonesia’s air defense today.
An Analysis of Haskell Parallel Programming Model in the HaLVM
Authors: Cheon Junseok , Kim Yeoneo , Hur Taekwang , Byun Sugwoo , Woo Gyun 
Published: July 2020

Abstract
Recently, cloud computers are widely used due to the development of computing environment and network speed. Unikernel is considered to be an attractive operating system in the manycore environment that effectively provides cloud computers. HalVM is a unikernel coded in Haskell. In this paper, we analyze the performance of Haskell running in a unikernel, which has shown good parallel programming performance in a manycore environment. In this paper, we analyze the performance of Haskell running in a unikernel, while Haskell has shown good performance in a manycore environment. To do this, we select HaLVM as the target operating system and analyze the performance by testing various Haskell parallel programming models. Test result shows that HaLVM is scalable only on IVC. We also implement a library to make programming with IVC more convenient, and use this library to compare extensibility experiments. Our test shows HaLVM’s scalability is 112.42% higher than Linux environment.
A Crypto Compression System Using ElGamal Public Key Encryption Algorithm and Even-Rodeh Codes
Authors: Budiman M A , Zamzami E M , Ginting C L 
Published: July 2020

Abstract
Confidentiality and size of data are some significant aspects in data exchange. Public key encryption algorithms, such as El-Gamal is known as to preserve confidentiality. On the other hand, public key encryption algorithms tend to increase the size of the encrypted data, making it difficult to transmit to the other party. This research will combine the ElGamal public key encryption algorithm with Even-Rodeh codes. ElGamal is used to secure data and Even-Rodeh codes are used to compress data. The parameters is being tested are the compression ratio and space savings. In this research, we will do an experiment that includes some data texts from Artificial Corpus. The results show that the crypto compression system can reduce the size of the transmitted data and the transmitted data could be revert back to the original data while still maintains its confidentiality.
Relational database reconstruction from SQL to Entity Relational Diagrams
Authors: Hakim Lubis Juanda , Muisa Zamzami Elviawaty 
Published: July 2020

Abstract
The absence of requirement documents or incompatibility of the requirement documents with existing software can be a problem in developing or maintaining software. Without knowing things that become requirements can cause software as a product that fails because it does not meet customer desires. One of the main problems in developing or maintaining software is that developers do not know the entity relational schema of the software. So developers will prefer to rebuild from scratch. This paper discusses database reconstruction from SQL to entity relational diagrams by identifying the primary and foreign keys of SQL sampling.
Performance Analysis of Start-Step-Stop Codes and Gopala-Hemachandra Codes2 (GH-2(n)) Ascompression Algorithms on Text Files
Authors: Budiman M A , Herriyance  , Khairunnada  
Published: July 2020

Abstract
Data compression was born as a solution to human needs for digital data. This research compares two compression algorithms, namely the Start-Step-Stop code algorithm and Gopala-Hemachandra codes 2 (GH-2 (n)) algorithm in the case of text file compression. compression ratio (CR), space savings (SS), bit rate and running time are calculated in the test as consideration to compare the advantages of both algorithms. Tests carried out using homogeneous strings, heterogeneous strings and artificial corpus. In homogeneous string compression, both algorithms have the same advantages because the value of CR, SS and bit rate are the same for each number of strings used. From the time of compression, Start-Step-Stop algorithm faster than the Gopala-Hemachandra algorithm. Testing of heterogeneous strings found that the Start-Step-Stop algorithm is superior to the Gopala-Hemachandra algorithm because it can save more storage space.
Information visualization of metacognitive skills during the software development process based on an adapted engineering design metacognitive questionnaire
Authors: Adisurya R R , Santoso H B , Fadhilah S , Lawanto O 
Published: July 2020

Abstract
In software development, either alone or in a team, there are many aspects that determine the success in developing the software, including each developer’s skills. Studies show that the application of metacognition can increase the effectiveness and efficiency of software development. To measure a metacognition skill, there need to be a metacognition measurement tools. One example of this measurement method is adapted engineering design metacognitive questionnaire. However, the respondents feel that existing tools still have not given them any benefits. This research is conducted to develop an information visualization tools for the metacognition measurement from an adapted engineering design metacognitive questionnaire. The research was performed using qualitative method adapted from the user-centered design approach, which is user requirement analysis, design alternatives, prototyping, and evaluation. The finding suggests that with information visualization, the students as the respondents feel the benefits of filling the EDMQ questionnaire. However, from the design standpoint, there are still numerous things that can be improved to make the visualization more informative.
Analysis of Drug Abuse Users in North Sumatera With K-Means Algorithm
Authors: Sharif Amer , Amelia Savittri Selina , Kemala Putri Syarifah 
Published: July 2020

AbstractThis study aimed to analyse the background of drug abuse users to provide an overview of drug abuse patterns in particular with sampling from North Sumatera, Indonesia. Data was obtained from several Medan Rehabilitation Centers. K-means clustering model was selected for data modelling. The results of the algorithm showed which city has the highest drug abuse users and the educational background of drug abuse users.
Personal Data Protection Paradox towards the Electronic Platform Engagement
Authors: Lubis Fahrurrozi , Lubis Muharman 
Published: July 2020

Abstract
Privacy paradox can be defined as the implication at the high intense interaction as the customers and market demand over the utilization of IT to provide online type of persona as the representative of certain people in the digital life while simultaneously protect their identities against potential threats but at opposite way lead to improper use of the system. Thus, this study want to explore the paradox exist in the process of protection the personal data in utilizing service or features in the electronic platform.
Hiding and Data Safety Techniques in Bmp Image with LSB and RPrime RSA Algorithm
Authors: Hardi S M , Masitha M , Budiman M A , Jaya I 
Published: July 2020

Abstract
Image is a form of visual data or information that is often used today. Sending data or information can be done in various ways and anyone. However, not all contents of existing information are public. It is not uncommon that information is misused by irresponsible parties. For this reason, security is needed for confidential information. This image security can be done with Steganography Technique. Steganography technique is a method for hiding information in an image. The method used is the LSB (Least Significant Bit) method. Where every bit lowest in the image media bytes will be replaced with the message bits that will be inserted. The bit used is the last bit of the RGB binary. The goal is that the message sent by the sender cannot be known by a third party, and can arrive safely to the recipient of the message. To make the confidentiality of messages more secure, it is necessary to hide the existence of messages to overcome the weaknesses of the LSB method used, so the authors combine them with the RSA RPrime algorithm (Rivest Shamir Adleman) for the encryption and decryption process. The security of the RSA RPrime algorithm lies in the level of difficulty in factoring non prime numbers into prime factors. The longer the key bits, the more difficult it is to solve because of the difficulty of factoring these two very large numbers. The results showed the test using a document file 2.93 MB with cover image size of 5760 x 3840 pixels, where in the larger the file inserted, then the time of encryption and decryption process is also long.