bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of Bicycle’s Speed Measurement System Using Hall Effect Sensor
Authors: Aisuwarya Ratna , Azmi Riyan Muhammad , Eka Putri Rahmi 
Published: December 2019

Abstract
Bicycles are an easy-to-use and affordable transportation tool for all society. However, in cycling, there is no information about the speed and distance that has been taken. Whereas, these parameters are quite essential because knowing that we can adjust the speed of the bicycle if we are going to the office or school so that we can estimate the time of arrival to reach the destination. Commonly, the device used to measure the speed and distance of a bicycle is a device with a GPS feature as a system based on geographical location. However, this device measures speed by knowing the position of the user captured by the satellite, not resulting from the actual speed of a bicycle. In this research, the designed system can measure the actual speed of a bicycle using the rotational speed of a bicycle wheel. The system implemented by using the Hall Effect sensor that will detect the magnet. The microcontroller then processes the data and convert the rotation per second into linear velocity. Then, information on speed, distance, and average speed are displayed to the LCD screen. After testing and analyzing the bicycle speed and distance measuring system using the Hall Effect sensor, we can conclude that The speed and distance of a bicycle can be measured by the hall effect sensor with the number of rotations that the Hall Effect sensor can detect up to 542 revolutions/minute. The final results of speed and distance can be displayed on the LCD, with the percentage error 2-3%.
The kindness behavior management in kindness service application using tree structure
Authors: Roya Azmi Luxfy , Edi Nugroho Lukito , Erna Permatasari Adistya 
Published: December 2019

Abstract
Kindness service application is an application which helps the students in kindness behavior implementations. This application is designed as an intermediary between kindness service providers and those who need kindness service, so it constructs a two-way relationship between the students. In addition, this application can also motivate the students to compete to do good things, as those who often doing kindness will be given a rate by the admin. The process of kindness behavior that had occurred will be designed to form a kindness tree. The management of this process is designed by using tree structure method. The tree structure will set the formation of kindness behavior in the kindness service application. Therefore, kindness behavior that had occurred will form into a whole kindness tree eventhough it provides the features to add or remove the behaviors of kindness.
Technology Acceptance among Older Adults With Mild Cognitive Impairement
Authors: Rosa Damayanti Nita , Mohamad Ali Nazlena , Salwana Mat Surin Ely 
Published: December 2019

Abstract
An increase in the population of older adults raises major and serious problems faced by developing countries, especially in the problem of decreasing memory function. With the increase in population of older adults, there is also an increase in the occurrence of a decline in memory which leads to the stage of diagnosis, namely a decrease in mild cognitive function called Mild Cognitive Impairment. However, technology use is among the population of older adults who should be able to help improve memory most of them do not know. This paper reports educating older adults about technology and technology acceptance in helping the memory of older adults. In-depth interviews were conducted with older adults to gather information about demographics, experiences, and their opinions about using technology to help memory. Thus, this study provides education about the technology in the reception of older adults to help memory. Respondents consisted of men aged 60-65 years and women aged 60-63 years were interviewed using a semi-structured interview method. The results of the study of all Older adults accept technology to help with cognitive function problems in preventing and reducing the risk of dementia, such as using technology is very helpful and not lazy to train the brain.
Identification of Variables in Predicting Trends in Social Entrepreneurship
Authors: Zulkefly N A , Ghani N A , Alquliti W 
Published: December 2019

Abstract
Social entrepreneurship can be utilized with the emergence of big data analytics. Data analytics can assist entrepreneurs who do not have the expertise, data, and systems to perform the analysis necessary so that it can provide predictions in order to optimize their business. Although research has been done showing the prediction variables in commercial entrepreneurship, but the variables cannot be simply used to tackle the prediction in social entrepreneurship. Prediction in social entrepreneurship is different with commercial entrepreneurship. The variables used in predicting commercial entrepreneurship primary focused in measuring the economic returns meanwhile social entrepreneurship primary focus in social returns. Predicting social impact is a good form of action for social entrepreneurs which may help them in decision making and keep their business sustainable. This study synthesizes the variables which can be used in predicting social impact in social entrepreneurship. As an outcome of this research, the paper highlights the variables which can be used in predicting social impacts and the contributions are it can enrich the knowledge of researchers and social entrepreneurs in term of the prediction of social entrepreneurship impact.
Analysis of Priorities Queuing Model (N-P) System With Multiple Channel Multiple Phase and Simple Additive Weighting
Authors: Putra Rajagukguk Herman , Zarlis Muhammad , Sutarman  
Published: December 2019

Abstract
The queue is a situation where people/goods must wait to get a turn of service. This happens because the number of arrivals is greater than the number of services. Generally, there are 4 queuing methods, namely FIFO (First In First Out), FILO (First In Last Out), SIRO(Services in random order), and PS (Priority Services). In this research, the authors conducted priority queues based on weighting using the SAW algorithm. Queue modeling uses Multiple channel Multiple Phase, where there are 2 phases that will be passed on the queue system. In phase 1, an assessment will be made using the SAW algorithm to produce weights value for each queue. Then in phase 2, a call will be made based on the priority value. In the priority queue, the queue can get service faster or slower according to the queue category. Tests are carried out following (M/M/1:GD/∞/∞) dan (M/M/3:PS/∞/∞) modeling with 100 test data with random variables. In this queue model, the arrival distribution follows a Poisson distribution, and the service distribution follows an exponential distribution. After testing, the results of the queue were obtained: 15, 3% effective in the low category, 65% effective in the normal category, 100% effective in the medium category, 100% effective in the high category. From the results it can be concluded that the queue system is effective in the queue with Normal, Medium and High categories. Queues will not effective in low category.
Breast cancer classification using digital biopsy histopathology images through transfer learning
Authors: Murtaza Ghulam , Shuib Liyana , Wahid Abdul Wahab Ainuddin , Mujtaba Ghulam , Mujtaba Ghulam , Raza Ghulam , Aniza Azmi Nor 
Published: December 2019

Abstract
Breast cancer (BC) infection, which is peculiar to women, brings about the high rate of deaths among women in every part of the world. The early investigation of BC has minimized the severe effects of cancer as compared to the last stage diagnosis. Doctors for diagnostic tests usually suggest the medical imaging modalities like mammograms or biopsy histopathology (Hp) images. However, Hp image analysis gives doctors more confidence to diagnose BC as compared to mammograms. Many studies used Hp images to develop BC classification models to assist doctors in early BC diagnosis. However, these models lack better and reliable results in terms of reporting multiple performance evaluation metrics. Therefore, the goal of this study is to create a reliable, more accurate model that consumes minimum resources by using transfer learning based convolution neural network model. The proposed model uses the trained model after fine tuning, hence requires less number of images and can show better results on minimum resources. BreakHis dataset, which is available publicly has been employed in overall experiments in this research. BreakHis dataset is separated into training, testing, and validation for the experimentation. In addition, the dataset for training was augmented followed by stain normalization. By using the concept of transfer learning (TL), AleNext was retained after fine-tuning the last layer for binary classification like benign and malignant. Afterward, preprocessed images are fed into the TL based model for training. The model training was performed many times by changing the hyper-parameters randomly until the minimum validation loss was achieved. Now the trained model was used for feature extraction. The extracted features were further evaluated by using six ML classifiers (i.e. softmax, Decision tree, Naïve Bayes, Linear discriminant analysis, Support vector machine, k-nearest neighbor) through five performance measures such as precision, F-measure, accuracy, specificity, and sensitivity for experimental evaluation. The softmax has outperformed among all classifiers. Furthermore, to reduce the wrong prediction, a misclassification reducing (MR) algorithm was developed. After using the MR algorithm the proposed model produced better and reliable results. The observed accuracy, specificity, sensitivity, precision and F measure are 81.25%, 77.47%, 82.49%, 91.70%, and 86.80% respectively. These results show that the proposed TL based model along with misclassification reduction algorithm produced comparable results to the current baseline models. Hence, the expected model could serve as a second opinion for BC classification in any healthcare center.
Decision Support System for Mapping Types of Timber and Number of Products for Furniture Handling in the Main Work Service Using AHP Method for Increasing Production Profits
Authors: Firdaus  , Wahyuni Ritna , Saputra Ade , Yolanda Novia , Wahyuni Ritna , Usman  , Neldi Mondra 
Published: December 2019

Abstract
The purpose of this research is to help the system to increase profits obtained by using the Decision Support System (DSS) and Analytical Hierarchy Process (AHP) methods. Where each criterion and alternative is compared with each other so as to give priority output values. With this application it is expected to reduce errors in data management so as to obtain accurate information. Software design methods used are ongoing system flow, global design, new system flow, context diagram, data flow diagram (DFD), entity relationship diagram (ERD), detailed design, database design, and system implementation. This research is carried out by applying a framework or research method that starts from identification of problems, problem analysis, set goals, study literature, collecting data, system design, system testing, and system implementation. By conducting research with the research method will produce the right analysis on the Tunas Karya Utama Furniture Handicraft and applied to a decision making application program. Reports generated in the decision support system process will produce accurate reports later.
Smart IoT Flood Monitoring System
Authors: Binti Zahir Shahirah , Ehkan Phaklen , Sabapathy Thennarasan , Jusoh Muzammil , Nasrun Osman Mohd , Najib Yasin Mohd , Abdul Wahab Yasmin , Hambali N.A.M , Ali N. , Bakhit A.S. , Husin F. , Kamil M.K.Md. , Jamaludin R. 
Published: December 2019

Abstract
Flood is one of the natural disasters that cannot be avoided. It happens too fast and affected so many lives and properties. Before this, most of the existing system that has been developed are only focus on certain areas. Other than that, majority of the public cannot monitor and have no idea when the flood going to be happened since they do not have any information and data about the weather condition. By having Smart IoT Flood Monitoring System, this will solve all the drawbacks of the existing system. The proposed system is suitable for cities and village areas. Furthermore, if the public has an internet access, they can monitor what is happening and predict if there is any upcoming flood at the web server. The proposed system is a low cost in design and easy for maintenance. This project will update the water level at the web server and the system will issue an alert signal to the citizens for evacuation so that fast necessary actions can be taken.
An IoT Based Smart Parking System
Authors: Chandran Mehala , Fadila Mahrom Nur , Sabapathy Thennarasan , Jusoh Muzammil , Nasrun Osman Mohd , Najib Yasin Mohd , Hambali N.A.M. , Jamaluddin R. , Ali N. , Abdul Wahab Yasmin 
Published: December 2019

Abstract
In the past, there have been many works done on smart parking system approaching an even smarter system in where researches have been done and still being done to create a system which is not technologically savvy but also at ease. This paper proposes a design of smart parking system where it helps the users to reserve parking slots using Android application. This project is aimed to create a system that helps people with personal vehicles to find for parking easily at selected areas. Both software and hardware platform have been developed in this system.
Expert system to diagnose child development growth disorders with forward chaining method
Authors: Gusman A P , Hendri H 
Published: December 2019

Abstract
Growth and development in children determine quality throughout their lives. The lack of understanding of parents about the importance of child development makes parents often ignore a situation or disease that occurs in their children. For this reason, an expert system is needed using the forward chaining method in reasoning to the knowledge base, which can help parents to know the growth problems experienced by their children based on the symptoms found in children. In its development, the expert diagnostic system for child development disorders is implemented using PHP and MySQL programming as the database. After this expert system is implemented, the system can diagnose 5 disorders of child development (Autism, Asperger syndrome, attention deficit disorders and Hyperactivity, Down syndrome, and mental retardation) especially in children aged 6 - 12 years.
Fuzzy Logic Applications to Predict Total Production of PKO (Palm Kernel Oil)
Authors: Kartika Devia , Pratiwi Mutiana , Liana Gema Rima 
Published: December 2019

Abstract
The purpose of this study is to apply fuzzy logic to predict the amount of Palm Kernel Oil (PKO) production at PT. Web-based AAI. This study uses the Tsukamoto method to anticipate the instability of palm oil production based on the existing demand and supply. The results showed that with the implementation of the fuzzy logic, the Tsukamoto method can affect the rate of more stable production and reduce the production of which is not in accordance with the market demand. The conclusion of this study is to apply the result of the predicted number of production PKO (Palm Kernel Oil) at PT AAI, in order to know the budget supply and demand thereafter.
Analysis of Electronically Reconfigurable Beam Steering Antenna Array using Phase Shifter Technique
Authors: Jen Neei Soh , Jusoh Muzammil , Sabapathy Thennarasan , AlBawri Samir , Najib Yaasin Mohd , Abd Rahim Hasliza , Abd Latef Tariq , Albreem Mahmud A. M. , Nasrun Osman Mohamed 
Published: December 2019

Abstract
The effect of PIN diodes position on reconfigurable ring antenna performance is investigated and studied in this work. The proposed antenna consists of two ring radiator patches, facilitating 1.25% bandwidth cantered at 5.85 GHz. Simulation and measurement result is presented successfully to demonstrate the integration effect of PIN diodes with antenna to steer the antenna beam toward the desired direction. Besides being low profile, an average gains up to 8 dBi is achieved at all reconfiguration scenarios.
Backpropagation neural network prediction for cryptocurrency bitcoin prices
Authors: Sovia Rini , Yanto Musli , Budiman Arif , Mayola Liga , Saputra Dio 
Published: December 2019

Abstract
The value of bitcoin currency is very volatile, hard to guess for every hour, so many of the bitcoin traders suffer losses because they are wrong in managing their bitcoin assets. Changes in the price of bitcoin itself are influenced by many things such as the closing of the bitcoin market in a country, the occurrence of hacker attacks on the bitcoin blockchain and the emergence of new coins that use technology similar to bitcoin. But when a stable market situation changes the price of bitcoin is purely influenced by market forces. By implementing an artificial neural network using backpropagation method, it will be able to predict the price of bitcoin by giving a form of predictive results that are strengthened with a fairly good value of accuracy. This research begins by determining prediction variables with target values that can be determined based on previous bitcoin prices. This artificial neural network process is able to conduct training and testing of data based on network patterns that have been formed, then the results of training and testing of the network will be analysed again, so that at the last stage the best network patterns will be used in the prediction process.
Application of Forward Chaining Method for Cognitive and Humanistic as an Indonesia Language
Authors: Nuraini C , Suharso A , Sumiyadi  
Published: December 2019

Abstract
In a previous study conducted by (Cut Nuraini, “Combine Application Theory of Humanistic Learning with Cognitive Methods in Learning (Its Application in Learning Indonesian Language) as One Model of Teaching Arts)”. UNSIKA: 2016) have obtained quite good results in the application of Combine Application of Humanistic and Cognitive theories in Indonesian Language Learning at FASILKOM. Referring to the success of previous research, it is unfortunate if it is not continued and developed. Previous research development in this study was by designing book applications in digital form or applications from the application of Cognitive Theory and Humastik on Indonesian Language learning at FASILKOM using the Forward Chaining method in Expert Systems.
Online Measurement to Assess A Problem Solving Skills Based on Multimedia Instrument
Authors: Ardiyaningrum M , Retnowati T H , Jailani  , Trisniawati  
Published: December 2019

Abstract
Problem solving ability is a goal that must be achieved in the learning process of all subjects at the elementary school level. Thus, there is a need for identification of problem solving abilities from prospective primary school teachers. The effort to identify this capability was carried out using Google Form as a test tool that facilitated researchers to carry out problem solving ability tests which is multimedia based. This research is a development research, which uses the development of the 4-D approach. The development is carried out on instruments for assessing mathematical problem solving abilities. The test participants consisted of 230 students from the elementary school teacher education program and the Madrasah Ibtida’iyah (Islamic elementary school) Teacher Education Study Program in the Special Region of Yogyakarta. The results indicate that the condition of students’ abilities that are quite diverse, with abilities below 0 are still quite high. This indicates that students’ problem solving abilities, prospective elementary school/Madrasah Ibtida’iyah teachers, still need to be improved.
Developing a competency-based of language skills and literary abilities in the primary school
Authors: Suryanto E , Emzir  , Akhadiah S 
Published: December 2019

Abstract
The competency-based (CB) 1994 (Supplement 1999) curriculum is a milestone of an efforts to improve the Indonesian education quality. Regarding this matter, this study wanst to reveal the CB development of language skills and literary abilities in the primary school (PS) and the influencing factors. This ethnographic study was carried out in the fifth grade of PS in Surakarta from 2004 to 2015. The phenomenon of literacy learning (LL) in the classroom as a source of evidence was explored through cases, interviewees, archives. The evidence is collected through an observation, question-answer, content analysis. The evidence legality is checked through adding participation, careful observation, triangulation, checking key informant techniques. The data are analyzed using domain analysis, taxonomy, and theme. In conclusion, literary subject is a part of Indonesian language (IL) lessons. Its achievements are integrated through listening, speaking, reading, and writing as well as understanding and using linguistic elements using various forms of literary works (LW). The verball and writing students’ skills of IL can be fostered and developed nicely. However, LL has not optimally introduced students to the various values of LW through literary appreciations, expressions, and creations. These result are influenced by the teachers, students, learning techniques, learning materials, evaluation systems, facilities, environments, and socio-cultural factors.
Character Education through Indonesian Language Course on Higher Education
Authors: Rabiah S 
Published: December 2019

Abstract
The function of education is to develop capabilities as well as to form dignified national character and civilization in order to develop the nation’s intellectual life. The aims of education on various levels are to form the students’ character. In its implementation, character education is conducted by integrating character values in the learning process. Thus, in this study, the researcher investigated the form of the implementation of character education through the learning process of an Indonesian language course in university. This study was a case study at Universitas Muslim Indonesia (UMI). The model used in this study is the Research and Development Model by Borg and Gall as well as Brown’s stages of development. This study involved 200 university students from 13 faculties who were taught the Indonesian language. Indonesian language lecturers and the academic stakeholders of UMI also became the respondents in this study. The results found that Islamic university is a feature of character education at UMI. Furthermore, UMI students need character education through Indonesian language course. Fortunately, the lecturers had implemented character education in every element of the teaching but still not with the learning materials. Meanwhile, academic stakeholders understood that character education could be done through learning, university management, and students’ activities. This study concluded that character-based Indonesian learning materials were developed to complete character education at UMI and to meet the needs of students, lecturers, and academic stakeholders.