bluuebunny/crossref_metadata_2025_split huggingface dataset:
Homogeneity trend on social networks changes evolutionary advantage in competitive information diffusion
Authors: Liu Longzhao , Wang Xin , Zheng Yi , Fang Wenyi , Tang Shaoting , Zheng Zhiming 
Published: December 2019

Abstract
Competitive information diffusion on large-scale social networks reveals fundamental characteristics of rumor contagions and has profound influence on public opinion formation. There has been growing interest in exploring dynamical mechanisms of the competing evolutions recently. Nevertheless, the impacts of homogeneity trend, which determines powerful collective human behaviors, remains unclear. In this paper, we incorporate homogeneity trend into a modified competitive ignorant-spreader-ignorant rumor diffusion model with generalized population preference. Using microscopic Markov chain approach, we first derive the phase diagram of competing diffusion results on Erdös–Rényi graph and examine how competitive information spreads and evolves on social networks. We then explore the detailed effects of homogeneity trend, which is modeled by a rewiring mechanism. Results show that larger homogeneity trend promotes the formation of polarized ‘echo chambers’ and protects the disadvantaged information from extinction, which further changes or even reverses the evolutionary advantage, namely, the difference of stable proportions of the competitive information. However, the reversals may happen only when the initially disadvantaged information has stronger transmission ability, owning diffusion advantage over the other one. Our framework provides profound insight into competing dynamics with homogeneity trend, which may pave ways for further controlling misinformation and guiding public belief systems. Moreover, the reversing condition sheds light on designing effective competing strategies in many real scenarios.
Shallow Well Water Salinity Viewed From Distance Of Well To CoastLine And Ground Water Level Elevation In Purus Padang Village
Authors: Chairi M , Purba W , Boy W , Imani R , Melasari J 
Published: December 2019

Abstract
The coastal environment is an area that always changes. It depends on the power balance between topography, rocks, and its nature with tidal and wind waves. Progress in the Purus sub-district resulted in an increase in the amount of groundwater demand. If this happens, it can cause a drawdown so that the well water of the residents feels brackish or feels salty. This study aims to determine the salinity of shallow well water when viewed from the distance of the well to the coastline (x1) and groundwater level (x2) in Purus Padang Village. This type of research is field research (field research), using a quantitative approach. The sample was taken as many as 18 wells in Purus. The results showed that the salinity of well water occurred unevenly in Purus Village. If the distance of the well is further away from the coast, the salinity value will be lower. If the depth (height) of the water table is getting farther away from the sea level, the salinity value will be higher. For consumption, the salinity content in Purus Village is still within normal limits (<250 mg/l). The spread of salinity is caused by the flow of surface water.
Bandit algorithms in information retrieval evaluation and ranking
Authors: Muwanei Sinyinda , Wai Lam Hoo , Devi Ravana Sri , Kunda Douglas 
Published: December 2019

Abstract
Bandit algorithms have been widely used in many application areas including information retrieval evaluation and ranking. This is largely due to their exceptional performance. The aim of this study is to examine the overall published studies in terms of trends that shape the use of bandit algorithms in the evaluation and ranking of information retrieval systems. This study also seeks to classify the bandit algorithms used in the research domain. In totality the evaluation metrics, datasets, contribution facets of primary studies as well as the bandit categories are discussed.
A review study: The effect of face aging at Estimating Age and Face Recognition
Authors: Ragheb Atallah Rasha , Kamsin Amirrudin , Akmar Ismail Maizatul 
Published: December 2019

Abstract
The face may be a made supply of data for indicating the personal characteristics like identity, ethnicity, expression, age and gender. The face characteristics measure thought-about jointly of the necessary individual characteristics. This could be utilized in several software, like age estimation and face recognition. The value of those applications depends on different areas, like security applications and group action application. Additionally, face expression square measure notably important with finding the lost kid, this applications have accomplish high level of accuracy. The paper offers a survey of face aging recognition. Furthermore, the analysis faced many challenges in face recognition space that had been explored. The analysis all over that face algorithms performance is distinct from one to another. This research contributes to display the gaps for different methods on this line of research.
Expert system for disease diagnosis in cocoa plant using android-based forward chaining method
Authors: Ariandi Vicky , Kurnia Hezy , Heriyanto  , Marry Hilda 
Published: December 2019

Abstract
Cocoa is one of the plantation crops that has high economic value besides it can also provide a large contribution so that it can increase the source of foreign exchange in Indonesia. This expert system is made for Android device users. In 2010 Indonesia succeeded in occupying the number three position after Ghana and Ivory Coast as the largest cocoa producer in the world. But the amount of cocoa production in West Sumatra has decreased due to a lack of knowledge of farmers in caring for and cultivating it. This is the background of this research, where this expert system uses the Forward Chaining method as a symptom search method that has been included as a tracking algorithm for each rule that has been set. So that it can produce an expert system for diagnosing cocoa plants that are right for farmers. When conducting a consultation, the user can answer Yes or No from the question given by the system. User answers are then processed based on rules and calculated using the forward chaining method. Testing is done to see if the system can run well as expected.
Automatic System to Fish Feeder and Water Turbidity Detector Using Arduino Mega
Authors: Hendri H , Enggari S , Mardison  , Putra M R , Rani L N 
Published: December 2019

Abstract
This tool system works automatically, which functions to feed the fish and detect the water turbidity. The fish that being feed and the water that is detected are in Aquarium or in Pond. Input for this tool are RTC (real time clock), Turbidity sensor and on/off button. To start or turn off the tool is used on/off button, to feed the fish automatically is used RTC component and to detect water turbidity is used turbidity sensor. Output for this tool is an LCD (liquid crystal display) display, Buzzer, Servo Motor and LED (light emitting diode) component. To display information in writing format is used LCD display, to sounding information in sound format is used buzzer, to move waterways door and foodways door is used servo motor and to indicate the tool is activated and processing is used LED component. The main component of controlling all component and program in this tool is Arduino Mega 2560. To make a tool program that will install in Arduino Mega is used C programming language for Arduino. By using this tool, will make activity in feeding the fish and detect turbidity of water be more effective, more efficient and easier than manually.
Internet of Things in Monitoring and Notification of Industrial Security Systems
Authors: Riyuska Alkhairunas , Santony Julius , Sumijan  
Published: December 2019

Abstract
One of the factors that influence the course of industry is the security factor, which is represented by security devices and security guards on the internal security system. Information technology changes the security system to be more complicated. The purpose of this study is to monitor and protect security systems using information technology. The method used in this study is the Monte Carlo Algorithm. This research provides a solution to the problem of mathematical data and decisions. The results of this study are automated testing in real-time communication, both on mobile devices and websites. The accuracy of the first data test was 98% and the second data test was 98%. This research is very appropriate to be applied in the application of industrial security systems.
Multiple Thresholding Methods for Extracting & Measuring Human Brain and 3D Reconstruction
Authors: Sumijan  , Ayu Widya Purnama Pradani , Arlis Syafri 
Published: December 2019

AbstractThresholding changes the gray image to binary imagery and improves image quality. This study applies the multiple thresholding method to extract and calculate the area of bleeding in the human brain. 10 samples of human brain image using multiple threshold method (Otsu and hybrid thresholding). The results of the Otsu method that still have noise can be overcome by the hybrid thresholding method. The results of the original image research with images that have been processed using the multiple thresholding method yield the optimum threshold value, the method applied produces excellent image quality. Results of calculation of MSE, RMSE and PSNR. the average PSNR Otsu thresholding: an average of 60.93 dB, the average PSNR Hybrid thresholding: 59.06 dB, and the average PSNR Multiple thresholding: 56.96 dB, the average MSE Otsu thresholding: 38.27, the average MSE Hybrid thresholding 36.15, mean MSE multiple thresholding: 34.30, mean RMSE Otsu: 9.49, mean RMSE Hybrid thresholding: 8.88, average RMSE Multiple thresholding: 7.58. The results of the calculation of the area of cerebral haemorrhage and the level of accuracy indicate a better multiple thresholding method. The results of the calculation of the bleeding area were carried out by 3D reconstruction using linear interpolation method.
Design Chipless Textile Tag for RFID Application
Authors: Anuar Mirza , Yeng Seng Lee , Shakhirul M. S. , Wee F.H. , Seng Gan Hong , Jusoh Muzammil , Sabapathy Thennarasan , Osman M.N. 
Published: December 2019

Abstract
This paper presents a chipless textile tag for RFID application. The CST microwave studio was used to design the chipless textile RFID tags which consist of three, four, and five slotted ring resonators nested in the circular patch. The RFID tag also fabricated using shieldit super fabric as conductive patch plane and the polyester fabric as substrate. The designed tags can operate over 1 GHz to 3 GHz frequency ranges. Each of the slot ring resonators are generate different reflection coefficient spectrum. The larger the slot ring create a resonate frequency at lower frequency. The measured and simulated results of the different slot ring chipless textile RFID tags are discussed.
Predicting GDP of Indonesia Using K-Nearest Neighbour Regression
Authors: Priambodo Bagus , Rahayu Sarwati , Hazidar Al Hamidy , Naf’an Emil , masril Mardhiah , Handriani Inge , Pratama Putra Zico , Kudr Nseaf Asama , Setiawan Deni , Jumaryadi Yuwan 
Published: December 2019

Abstract
The impact of the global recession in 1998 that originated from the recession in the US will affect the projected economies in Asia, including Indonesia, both direct and indirect nature. In this study, we predicted Indonesia’s GDP in the event of the economic crisis that hit Indonesia starting in 1998. Instead of using the famous prediction algorithm as a neural network and linear regression. K-Nearest Neighbour is selected because it is easy and fast to use in the small dataset. We use a dataset from 1980-2002, consisting of rice prices, premium prices, GDP of Japanese country, American GDP, currency exchange rates, Indonesian government consumption, and the value of Indonesia’s oil exports. For evaluation, we compare k-NN regression prediction result with prediction result using back propagation neural network and multiple linear regression algorithm. Result show, k-NN regression is able to predict Indonesia’s GDP using small dataset better than the neural network, and multiple linear regression method.
The Application of Data Mining in Determining Patterns of Interest of High School Graduates
Authors: Hartama Dedy , Perdana Windarto Agus , Wanto Anjar 
Published: December 2019

Abstract
This study proposes an application of Data Mining in determining patterns of Interest of high school Graduates to attend AMIK Tunas Bangsa Pematangsiantar and the dominant factors which affect the interest of high school graduates. The data was picked up from the application forms completed by those enrolled in the AMIK . In this study, algorithm C 4.5 decision tree was applied in order to obtain the pattern of data classification, i.e. school, status, school location, and year of graduation.. The interest pattern of these graduates demonstrated that the best variable of the predictor used is the school status which gives as much as 81, 71% performance accuracy to registration.
A Compact MIMO Planar Inverted-F Antenna
Authors: Najwa  , Nasrun Osman Mohamed , Jusoh Muzammil , Sabapathy Thennarasan , Al-Bawri Samir , Azizan M. M. , Ali Tarmizi 
Published: December 2019

Abstract
In this work, a compact MIMO antenna is designed as a planar inverted F-antenna (PIFA) which can be used for smallest smartphones. The proposed antenna will cover the GSM frequency range of 900MHz and 1800MHz. Those dual bands are attained with high gain up to 4.7dB. Simulation and experimental results have been presented.
OLAP Approach in Searching Manufacturing Industries in West Sumatera
Authors: Mandala E P W , Putri D E , Putra D W T , Mulya D P 
Published: December 2019

Abstract
The manufacturing industry is a business that uses machines, tools and workers in the process of converting raw materials into finished goods that can be sold. The manufacturing industry has an important role in the Indonesian economy. The industry contributed a large income to the country. In West Sumatra, there are many manufacturing industries that are growing and developing both on a medium scale and large scale which are spread throughout the cities and districts. So that it makes it difficult for the Department of Industry of West Sumatra Province to collect data on the existence of manufacturing industries. To solve this problem, approach of Online Analitycal Processing (OLAP) is used to search data in a hierarchical manner. OLAP is designed using fact tables and several dimension tables. OLAP will provide the number of industries as a measure . This research can help the people of West Sumatra to find out about the local manufacturing industry and what products the industry produces. In the end, local industrial products will be favored by many local people and increase the income of the province of West Sumatra.
Expert System Insemination
Authors: Wiyandra Yogi , Yenila Firna , Wahyuni Suci , Febrihadi  
Published: December 2019

Abstract
Insemination is a method used as a program by injecting sperm directly into the cervix so fertilization can occur. According to world health, the success rate of this program ranges from 20-30%, allowing several couples to choose this alternative. The process of applying artificial insemination requires the right pregnancy results, which require proper identification. System identification technology can be done quickly to assist in the identification of fertility that must be performed by an obstetrician. System development in this research is an expert system to determine the success of insemination programs for pregnancy. This system makes it easier for couples to consult and provide information to couples about insemination activities based on their partner’s condition. This expert system is made with a Hybrid method, where reading data from this method is done by forward chaining and certainty factors. The forward chaining method aims to read the cycle of couples who will carry out insemination and certainty factors, namely the method used to determine the level of success in the pregnancy program that will be obtained by the couple.
Analysis of the Success of Student Monitoring Information System Implementation Using DeLone And McLean Model
Authors: Riasti B K , Nugroho A 
Published: December 2019

Abstract
The Primary School implements the Student Monitoring Information System, which is used for communication between the teacher and parents of students regarding student learning. This study analyzes the successful implementation of the Student Monitoring Information System and what factors need to be improved. The method used in the research is the DeLone and McLean Information System Success Model. The results of this study indicate the percentage of successful implementation of the Student Monitoring Information System, including assessment of system quality, information quality, service quality, usage, user satisfaction and net benefits. Overall, the implementation of the Student Monitoring Information System was declared successful, with 90% of respondents agree strongly, 6% of respondents agree, and 4% quite agree with the implementation of the Student Monitoring Information System.
Quantum Learning Methods to Improve students’ speech skill using Javanese’s Krama Alus
Authors: Yuniar K , Rakhmawati A , Setiawan B , Saddhono K 
Published: December 2019

Abstract
Low speech skill using Javanese’s Krama Alus in junior high school students led the writers to apply quantum method in learning process. Research and observation on the implementation of learning using Quantum method eventually resulted in a Classroom Action Research with 28 junior high school students as the research subjects. In addition, this research aims at improving students’ skills in giving a speech using Javanese’s Krama Alus. The study was conducted in two cycles; cycle 1 was learning with quantum method in homogeneous student groups (ability) and cycle 2 was learning with quantum methods in heterogeneous groups of students. There were four steps in the research procedure, i.e. action planning, action implementation, observation and reflection. The research data was obtained and collected using two techniques, test and non-test ones. Testing data validity was conducted in two ways; (1) data triangulation and (2) methods triangulation. Then, the data were analyzed by comparative descriptive and analytical critical techniques. The Indicators of action success were (1) Quality of the learning process and (2) Achievement of learning outcomes, in the form of skill in giving a speech using krama alus Javanese. The research data show that there are some developments in each observed cycle, from pre-cycle, cycle 1, and cycle 2. Moreover, the data show an increase in learning motivation (indicator of learning process success), and an increase in learning achievement (as an indicator of learning outcomes achievement). Based on the data and the discussion, it can be concluded that students become skilled at giving a speech using Javanese’ s Krama Alus with the application of quantum learning method.
Teaching Learning Javanese News Writing Trough Group Investigation Method And Illustration Media In Senior High School
Authors: Pratisthita S T , Winarni R , Sumarwati  
Published: December 2019

Abstract
The aim of this research was for improving the students’ skill of Javanese News Writing in Senior High School student through Group Investigation Method and Illustration media. This research was a classroom action research which conducted in two cycles. One cycle was done in four steps: planning, implementing, observing, and reflecting. The subject of this research was students class X IPS 2 SMA Negeri 1 Jogonalan. The data observations were taken from the teacher, students, and document review. The data collection was done through interview, observation, test, and document review. The data validations used were triangulation technique of data source and triangulation technique. Then, the techniques of analyzing data used were analysis technique and comparative descriptive. This research described that group investigation method and illustration media could improve the quality of process and result from pre-action up to cycle II. The percentage of process quality in pre-action was 22.2%, and then improved to 69, 4%, last in the cycle II the percentage improved to 83.3%. Whereas, the percentage of result quality in pre-action showed 41.6%, and then improved to 58, 3%, last, in the cycle II the percentage improved to 86, 1%. Based on the data explanation above, it can be concluded that group investigation method and illustration media can improve the students’ Javanese News Writing Skill on Senior High School Student.
Effect of cooperative learning model type of talking stick against student learning
Authors: Wijayanti Lidia , Sukwatus Sujai Imam , Septi Nur Afifah Dian 
Published: December 2019

Abstract
This experimental research aimed to know the influence and difference of learning talk stick. The research design used is posttest-Only Control Group design. The population in this study were 348 students. Sampling technique using cluster Random Sampling. This study uses two class samples. Methods of data collection using tests and documentation. Data analysis using simple regression test and Independent Sample TtestTest using SPSS 21.0. The result of simple regression test data analysis is thitung> t table, so H0 rejected and Ha accepted which means there is influence of using cooperative learning type of talking stick to result of study of IPS student of class VIII SMPN 1 Karangrejo indicated by acquisition of tcount 4, 448>ttable 2, 042. The result of test data analysis of independent sample ttest is thitung>ttable, so H0 is rejected and Ha accepted which means there is difference of using cooperative learning type talking stick model to result of study of IPS student of class VIII SMPN 1 Karangrejoshown from the acquisition of thitung2, 363>ttable1, 990.
Utilizing Digital Media for Embedding Local Cultural Values: Vocational High Schools Context
Authors: Hersulastuti  , Setiyadi D B P , Mulyadi Dodi , Asmara Rangga , Ratna Kusumaningrum Widya 
Published: December 2019

Abstract
Culture and language are truly inseparable. This study explored how teachers of Vocational High Schools (VHS) embedded local cultural values in their language learning by utilizing digital media. This was a small scale exploratory case study involving six participants comprising of three Indonesian language teachers, and three English teachers of Vocational High Schools in three different regencies of Central Java, Indonesia. The data were primary collected through interview and focus group discussion (FGD). To analyse the data, the interactive models of qualitative data analysis of Miles & Huberman (2014) was employed. Evidences showed that teachers used texts or video materials containing local culture in form of (1) ideas: norms, moral, religious values; (2) activities: traditional ceremonies, and (3) artefacts: historical places, foods, or customs. Teachers reported that among of methods recommended in 2013 Curriculum implementation, Inquiry and Project-Based Learning became teachers’ preferences. Students’ projects in form of texts writing or video making of certain local culture were resulted from the learning. Teachers supported their learning by the use of various digital medias, such as internet, animated video or You tube, WhatsApp group. Whereas google classroom and quipper school were other forms of digital learning presented while students were on the job training program. Teachers- students were connected by the presentation of the materials and assignments. Overall, embedding local culture in language learning raised students’ interest, increased their participation as well as developed their’ local cultural awareness.