bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factors Affecting Players to Pay Online Games
Authors: Tjhin V U , Hendratno S P 
Published: June 2021

Abstract
This paper aimed to investigate the behavior of online game players. Even though online games have experienced rapid development in the community, it is still difficult to convince online gamers in developing countries to pay for the privilege of playing these games. This study focuses on three factors that influence the intention in paying for online games, namely fun, fantasy, and challenge. The respondents surveyed reached 1278 players of Arena of Valor (AOV) in Indonesia. The data were analyzed with Structural Equation Modeling with a Partial Least Square (PLS) approach using SmartPLS. This research developed four hypotheses. The results can be summarized as follows. First, fun has a significant impact on intention to pay. Second, fantasy has a significant impact on intention to pay. Third, challenge has a significant impact on intention to pay. Fourth, fun, fantasy, and challenge have a significant impact on intention to pay. The variable of fun has the greatest influence on intention to pay compared to the variable of fantasy and challenge. A gamer’s feeling has a greater influence on a player’s intention to pay for the game being played. Online game companies need to pay attention to aspects related to fun, so gamers have better judgment for the decision to pay for the game being played.
Implementation of Image Security using Elliptic Curve Cryptography RSA Algorithm and Least Significant Bit Algorithm
Authors: Handrizal  , Herriyance  , Hanayong J , Zarlis M , Sihombing P 
Published: June 2021

Abstract
Data exchange is a very important thing in today’s technological development. Two important factors must be considered in the process of data exchange, namely speed and security. Rapid technological development can result in insecure data because it can be stolen or manipulated by people who are not privileged. Thus, we need a way or method to be able to overcome these problems, such as cryptography and steganography. The Rivest-Shamir-Adleman or RSA algorithm is an asymmetric cryptographic algorithm that uses 2 prime numbers to generate a public key and a private key that is used in the encryption process for the data. The ECC concept is used to determine the seed or initial value in the generation of prime numbers in the RSA Algorithm by using point addition and multiplication in an elliptic curve. The Least Significant Bit Algorithm is a Steganography Algorithm that inserts bits from the message at the last bit in a cover, replacing the last bit. The parameter used is Running Time in steganography. The results of the research show that image files can be hidden in another image file and returned to normal with a combination of cryptography and steganography with an average Running Time for the insertion process of 3090.167 ms and the extraction process of 2917.167 ms.
Diagnosis of Facial Skin Disease in Expert System Using Fuzzy Sugeno Method
Authors: Hardi S M , Siregar D P D , Elviwani  
Published: June 2021

Abstract
Structure of human skin is the largest structure in the human body. Skin has many function for human body. The importance of skin care is done to provide beauty to the skin, especially facial skin care, how important facial care can be seen by number of beauty clinics that are used to help treat skin beauty. Various kinds of facial skin problems, one of problem were facial acne which can interfere with beauty of facial skin. Most people oftenly uneducated how to treat acne which is often inappropriate. Usually, sufferers will go directly to the doctor or beauty clinic. Problem often occurs is high cost of consulting with experts and long distance between user’s location and nearest doctor’s clinic, so needed an application that can help users to be able to consult about skin diseases on the face. In these researches, researchers focused on problem of acne on facial skin by implementing an expert system using Sugeno fuzzy method. Results obtained from these researches is kind of acne and severity based on the symptoms input by user. This application expert system implemented with mobile app and having an accuracy rate of 75% from 100% by testing results of experts and results by system.
Identification of Lung Cancer on Chest X-Ray (CXR) Medical Images Using the Probabilistic Neural Network Method
Authors: Syahputra M F , Rahmat R F , Rambe R 
Published: June 2021

Abstract
The high death rate from lung cancer is caused by the late detection or detection of cancer in the body so that treatment is carried out after the cancer has entered a high stage of severity. Meanwhile, lung cancer is a disease that requires fast and targeted treatment. One of the diagnoses of lung cancer can be done through a chest X-ray (CXR) and the results can only be read by an expert such as a doctor. In many cases, the doctor’s diagnosis takes time and is still possible for errors. With increasingly sophisticated knowledge, several diseases can be identified by image analysis, including lung cancer. Digital image processing and methods and neural networks can help identify cancer. The method proposed in this study is a probabilistic neural network to identify normal and cancer images from lung images in lung cancer detection. The identification stage consists of several stages, namely preprocessing, segmentation with canny edge detection, feature extraction with the Gray Level Co-Ocorrence Matrix (GLCM) and identification with a Probabilistic Neural Network (PNN). With the method used, the accuracy of the lung cancer identification results was 93.33%.
Implementation of Not So Naive and Burkhard-Keller Tree algorithms in Indonesian-Hokkien dictionary application
Authors: Budiman M A , Rachmawati D , Charity  
Published: June 2021

Abstract
In Indonesia, especially in Medan, North Sumatra, Hokkien is used in everyday life within the Chinese community. However, learning the language is still done manually. Therefore, the authors intend to create an Android-based Hokkien dictionary application. The most common typing errors found were deleting and inserting single characters, substituting and reversing adjacent characters. Exact string matching can perform a quick search, but the search will fail when the incorrect input is entered. This study aims to prove the advantages and disadvantages of each algorithm in accessing information in addition to displaying the results of the running time of both algorithms. The results showed that the search time for the Burkhard-Keller Tree algorithm increased by 72% and 96% for the Not So Naive algorithm when searching on a database containing 200 words and 400 words. The Not So Naive algorithm has a mean running time of 26.9 ms and a mean running time of 53.5 ms on the Burkhard-Keller Tree algorithm.
Maple as a tool to understand marketing game for up to four companies
Authors: Zahedi  , Affandi Marwan , Suparni  , Suzana Yenny , Razi Fachrur 
Published: June 2021

Abstract
In business environment, advertisement is very important. Companies spent a lot of money to advertise their products. When there are several players which have the same product to market, the competition will be quite tough since the market size is finite. The amount of the money spent for advertisement will affect the sale of the product. The profit for each company will depend on the amount of money spent for advertisement. However, this will also depend on the money spent by other companies, making the determination of the optimum profit become difficult. For two and three companies, exact value of the optimum profit for each company can be found. However, the analysis for more than three companies is quite complicated so we must resort to numerical method. Examples for the cases of two, three and four companies are given. A company with the smallest effectiveness factor and gross profit will have the smallest optimum profit. Maple has been widely used to derive formulas and to solve the case studies in this paper.
A cryptocompression system with Multi-Factor RSA algorithm and Levenstein code algorithm
Authors: Budiman M A , Sihombing P , Fikri I A 
Published: June 2021

Abstract
Exchanging digital messages by electronic means has a major security concern. The data being sent can be accessed and read by some unintended parties if there is no security system involved. Cryptography obscures the messages being sent and they can only be read by intended recipients by using the right key. Using asymetric cryptography algorithm such as Multi-Factor RSA may help to obscure a message with high security; however, the ciphertext is usually much larger than the message so it takes much more time to transmit. In order to solve this problem, this research combines the Multi-Factor RSA with the Levenstein Code algorithm in a cryptocompression system to compress the size of the message being sent. This research also compares encrypt-then-compress scheme with compress-then-encrypt scheme. The result shows that encrypt-then-compress scheme has a better compression ratio than the compress-then-encrypt scheme. On the contrary, in terms of actual time performance, the compress-then-encrypt scheme is faster than encrypt-then-compress scheme.
Design and Implementation of IoT based Automated Tomato Watering System Using ESP8266
Authors: Nurhasanah Rossy , Savina Lira , Nata Zul Mahadi , Zulkhair Ilham 
Published: June 2021

Abstract
Tomatoes need a proper watering system in order to grow and provide optimal yields. The factors that must be considered in watering the tomatoes are soil moisture and air temperature. The soil moisture needed for planting tomatoes is between 60% to 80% with a temperature rate between 24 to 28 degrees Celsius. We propose to implement an IoT based agricultural technology innovation to address the problem of precise watering system based on soil moisture and air temperature rate, which can be controlled remotely via internet connection. This system was designed and assembled using ESP8266 with soil moisture sensor and DHT11. This system was also programmed to be controlled using the Telegram Messenger application. The data read by the sensor could be seen through the Telegram Bot and do watering the plants automatically or manually. Based on several experiments conducted in this study, the system could do watering as well as maintain and control soil moisture and air temperature properly. By using this system, it will be easier for farmers to control and maintain tomato plants from anywhere and anytime through the Telegram Messenger.
An implementation of Rabin-p cryptosystem and affine cipher in a hybrid scheme to secure text
Authors: Budiman M A , Handrizal  , Azzahra S 
Published: June 2021

Abstract
One way to keep digital information secure is by using cryptographic techniques. With respect to its keys, cryptography generally is divided into two types: symmetric and asymmetric. Symmetric cryptography algorithm uses the same key in both encryption and decryption while asymmetric uses different keys for each of these processes. Asymmetric cryptography algorithm is known to be ineffective to encrypt big messages since it takes more CPU time to do the computation and the resulting ciphertext is usually much bigger than the original message. To eliminate these problems, in this research, we combine Rabin-p cryptosystem, an asymmetric cryptography algorithm, and affine cipher, a symmetric cryptography algorithm, in a hybrid scheme in order to secure messages from unwanted parties. The affine cipher is used for message encryption while Rabin-p is used for affine cipher’s key encryption. The result of this research is a hybrid cryptography scheme that can encrypt and decrypt message in the form of *.pdf files and be able to restore the message without losing integrity.
Social network extraction based on Web: A Review about Supervised Methods
Authors: Nasution Mahyuddin K. M. , Noah Shahrul Azman 
Published: June 2021

Abstract
The extraction of social networks from specific sources of information is essential. It relates to the disclosure of social structures with prevailing behavior in accordance with that information source. It, of course, requires methods that are generally in a supervised stream. The method changes based on the demands of data modeling, which are generally textual, but do not rule out other types of information, such as databases or different literacy. This paper reviews the methods that have been developed and the types of information sources involved as input to the social network extraction process. This brief review follows the literature related to social network extraction involving supervised methods. Based on different information sources, there are different models in supervised stream.
Brain Tumour Detection Using Machine Learning Algorithm
Authors: Keerthana A. , Kavin Kumar B. , Akshaya K.S , Kamalraj S. 
Published: June 2021

Abstract
Brain is the regulatory unit in human body. It controls the functions such as memory, vision, hearing, knowledge, personality, problem solving, etc. The main reason for brain tumour is the abandoned progress of brain cells. Many health organizations have recognized brain tumour as the second foremost dispute that causes a large number of human deaths all around the world. Identification of brain tumour at a premature stage offers a opportunity of effective medical treatment. Use of Magnetic Resonance Imaging images have been recognized as more detailed and more consistent images when compared to Computed Tomography images. There are various techniques to detect brain tumour or neoplasms. The most competent and effective algorithms are discussed in this paper after studying a number of appropriate research papers. Pre-processing brain images, segmenting them, feature extraction, clustering and detection of the tumour are the methodologies in most researches.
A Study on Various Trans-Humeral Prostheses Using Surface EMG
Authors: Maideen Ajmisha , Mohinarathinam A. , Kamalraj S. 
Published: June 2021

Abstract
Upper limb amputation arise due to cardiovascular defects, trauma, health problems, or inborn defects. A disabled person needs an assistive mechanism like the prosthetic arm to perpetrate in their day-to-day activities. A Prosthetic Arm is an artificial system for interfacing my generated signals with external physical activities, which is extensively used to communicate and control the interactions between humans and machines. Many bio-generated signals can be utilized to control prosthetic arm like Surface Electromyogram, Electro Encephalogram, etc. but here using Surface Electromyography (s EMG) signal to control Prosthetic arm. s EMG is an inquiry of electrical activity of the striated muscle which is monitored at the surface of the skin. This signal is interfaced with a prosthetic device which helps to improve the quality level of amputees. Maximum movements are the target, which includes movements of fingers, forearm, and trans-humeral areas. The body-generated signal can be extracted using various electronic equipment and can be analyzed actual brain intention on various hand movements. With the support of artificial devices, one can achieve the goal. Neural networks and advanced Embedded System applications are also included in this prostheses implementation. This paper involves the study of various trans-humeral prostheses using electromyogram.
A Survey on Prediction of Protein-Protein Interactions
Authors: Nivedha S , Bhavani S 
Published: June 2021

AbstractProteins interacts with one other to form complexes for performing the biological process in a cell. Understanding the interactions of proteins helps in recognizing the disease mechanisms. It plays a major part in the catalytic reaction, drug ability of the molecules. The wet-lab methods are tedious and expensive. However, the data that is identified in experimental methods can be processed and used. Advancement in the field led the prediction using computational approaches for signaling pathways and the recognizable proof for specific diseases. Identification of protein-protein interaction offers a way for advancements of therapeutic methods and drug design. In this paper, an analysis of prediction methodologies that are used for protein-protein interactions was described. Experimental methods and six different computational methods were discussed.
Cost-Effective Breast Cancer Screening to Reduce Mortality Rates of Women in India: A Revolution
Authors: Hamsagayathri P. , Udhayamoorthi M. , Rajakumari K. , Anandkumar N. , Mythili S. 
Published: June 2021

Abstract

Background: Breast cancer is one of the leading cancers among world women. Early detection and early treatment improve the survival rate of the women. In India, breast cancer is primarily identified only at later stages that increase the burden of mortality. Thus, in many developing countries, there exists the scarcity of cost-effective breast cancer screening systems.

Methods: In this paper, we have comprehensively analyzed the limitations of the existing diagnostic tools and overviewed the advancement of microwave technology in breast cancer detection. The principal focus is to augment the survival rate of the women by detecting the cancers at the early stage.

Findings: The comparative studies on sensitivity and specificity values are performed on different diagnostic tools. Microwave-based screening holds 96% sensitivity and 98% specificity values, which certainly reduces false positive and false negative rates. The detection rate is also high as 98% that enables to identify undersized tumors.

Conclusion: Microwave Technology is able to detect the early-stage cancers effectively and the performance exceeds with existing techniques.
Dehydration measurement using sweat sensor patch and pulse sensor
Authors: Manimegala P , Anitha Mary X , Biji Neha , Selshia Shiny V 
Published: June 2021

AbstractTechnology has increased visibly large. People find ways to easily detect their conditions. Heartbeat and dehydration level is one of the most common among people especially athletes. Athletes are drifted towards wearable technologies to track their training and recovery. Usually a dehydrated person sweats more. The sweat contains various physiological substance and health data. Based on studies sweat consists of salts and ions like [Na+], [K+], [Cl] lactate, glucose and ammonia. We are developing a wearable sweat analyser that can detect the raise in concentration of sodium and potassium. The sweat patch consist of a counter electrode created by screen printing Silver Chloride (AgCl) nanoparticles on Polydimithylsiloxane (PDMS) material and reference electrode (RE) created on the patch material by adding a platinum nanoparticle. This sweat sensor patch is connected to a microcontroller along with a temperature sensor and a Bluetooth module. The data which is collected by the sweat patch and the temperature sensor is sent via Bluetooth to mobile application were the data is displayed.
A Secure Ant Colony based Trust Computation Model in Wireless Sensor Networks
Authors: Adline Jancy Y. , Gomathy B. , Benuel Sathish Raj A. 
Published: June 2021

Abstract
We have always observed that the wirelessly connected sensors have difficulties inmaintaining the charge and transmitting data safely from the sender to the receiver end. Due to this the longevity of the nodes doesn’t last longer and the efficiency is found to be very less. The chances of data being lost during the transmission are also very high. This paper deals withthe methods employed to cut short the energy used by the nodes, transmit data safely from sender to receiver and also increase the efficiency. This paper associates algorithms like LEACH, ACO, ECC which in integration performs operations that selects the cluster head, reduces energy consumption. In the proposed technique transmission of data happens from thecluster member to cluster head and from the cluster head to the base station. The results showthat the LEACH-ACO algorithm significantly reduces the average energy consumption. Thethreshold value of each and every task has to be defined manually keeping in mind the risk thatthe task is able to handle. The threshold value differs with different systems. By cross checking the trust value that was obtained by computing and the threshold trust value, it is straight forward to conclude if the particular node is a safe node or an unsafe node. The proposed protocol reduces overall energy consumption by reducing the number of dead nodes, and providing an optimal path with increased packets delivery ratio.
A Safe and Comfort Bed for Cerebral Palsy Babies-Bedstead
Authors: Divakaran Sindu , Bethanney Janney J , Sudhakar T. , Antony Josephine Snowfy W , Melinda Morais M , Krishnakumar S 
Published: June 2021

AbstractCerebral palsy is a disorder that affects the muscle tone, movement and motor skills. Few percent of children affected with cerebral palsy experience problems while sleeping. These include seizure attacks, muscle spasms, pain, respiratory problems, etc. Bedstead is a unique bed designed for the cerebral palsy babies, which automatically massages the baby using vibration motors when some discomfort arises. An EMG placed on the baby senses the muscle spasms, which drives the vibration motors. Additionally, an accelerometer sensor detects seizure attacks by the principle of fall detection. During a seizure attack, a technical buzzer will alarm the caregivers, thereby reducing life-threatening conditions. If left untreated, these complications can result in dangerous situations. Another feature of this set up is that the parameters sensed is uploaded in a cloud, and also sent to caregivers as well. This bed ensures that the babies can have a deep and uninterrupted sleep with little or no intervention from the professional caregivers or family members.
IoT Based Water Surface Cleaning and Quality Checking Boat
Authors: Saran Raj B. , Murali L. , Vijayaparamesh B. , Sharan Kumar J. , Pragadeesh P. 
Published: June 2021

Abstract
It is foremost important to keep the water bodies around us to be clean. It is very terrible that huge amount of garbage is deposited on water bodies every year. Monitoring the quality of water that is present in the water bodies is also very important in today’s world. There is a group of people who keep on monitoring the changes that occurs on the surroundings who are named as Catchment Management Authorities. Catchment Management Authorities monitor and provide real-time day to day updates on environmental protection and tracking pollution sources. A cheap non-wired aquatic monitoring system will enable cost effective water quality measurement by collecting data as well as assisting catchment managers to maintain the health of aquatic ecosystem. The work deals with finding a way for the uncertain effects of the floating particles, hence reducing the harmfulness created on behalf of the floating particles that incorporates floating materials and curbs. Our work aims to create a garbage gathering object to monitor the lakes and ponds and also measure the condition of water by measuring several parameters. In addition, it helps to understand the water pollution using data analysis. The main feature of this project is to collect of floating objects from the surface of the water into a trash container. The Secondary work of our project is to measure the water quality by using sensors, by measuring the water quality parameters we can be able to predict the unfavourable conditions of water living creatures. pH Sensor and Turbidity Sensor are used in our project to measure the acidity and basicity of the water and turbidity level of the water respectively. The main motto is to clean the surface of the water and check the quality of the water which helps for aquatic ecosystem.