bluuebunny/crossref_metadata_2025_split huggingface dataset:
A study of virtual learning environments (VLEs) adoption: an information system approach
Authors: Winarto  , Jamaluddin  , Nadapdap K M N , Gultom R , Pardede A M H 
Published: December 2019

Abstract
The study aims to examine students’ adoption towards a Virtual Learning Environment (VLE). Using the Technology Acceptance Model (TAM) as the theoretical framework, the study mainly focuses on the degree that perceived usefulness, and perceive ease of use has influence on students’ adoption towards Easy Class as the Virtual Learning Environment. The research used a quantitative approach. A questionnaire has been employed as an instrument to gather data from 2 classes in a private university in North Sumatera. The research found that perceived usefulness and perceived ease of use have a significant effect on the students’ adoption. At the end of the paper, the implications as well as the suggestion for future study are explained.
Analysis of Sigmoid Function Method And Histogram Equalization for Enhancement Contrast Image
Authors: Azmi Fadhillah , Harahap Mawaddah 
Published: December 2019

Abstract
Image Is one file that is able to provide information graphically to humans. However, not all images have a brightness level that suits the user, thus reducing the information obtained. To overcome this, it is necessary to increase contrast. The results of the tests show that the Histogram Equalization algorithm has an execution time of 83,109 ms, when compared to the time of the ACEBSF method which is 121.315ms. Whereas for the SSE value that is owned by the ACEBSF method is 14.619.460.211 greater than the SSE Histogram Equalization, which is 12.526.602.683. However, both methods have disadvantages if the K1 and K2 values are too small, the image quality improvement will fail.
Implementation of Augmented Reality of Android Based Animal Recognition using Marker Based Tracking Methods
Authors: Haryanto Edy Victor , Lubis Ervianna Lestari , Saleh Alfa , Fujiati  , Lubis Nurul Izzah 
Published: December 2019

Abstract
Augmented Reality (AR) is a technology that combines 2 dimensions with 3 dimensions in realtime. Augmented reality can be applied in various things, one of them is in the field of education. In the world of augmented reality technology education can be used as a means of introduction of aquatic animals. Augmented reality serves to display 3-dimensional objects and their information by scanning markers. Markers made as scanning objects are carried out by the smartphone camera and will display objects in 3 dimensions. Based on testing the distance measurement of the camera against the marker, the optimal distance obtained from the camera can read the marker at a distance of 8 - 77 cm. This augmented reality application has been running well on smartphones and has featured 3-dimensional objects along with its information. Applications that have been made to facilitate the introduction of aquatic animals.
Smart Home Security Design Applying One Time PAD Algorithm
Authors: Gunawan G , Lubis A R , Soeharwinto  , Mubarakah Naemah , Jollyta Deny , Effendi Syahril 
Published: December 2019

Abstract
Smart Home Security is a smart system for securing a house or building equipped with a security system applying the One Time Pad (OTP) algorithm. The background of this research is that the system that has been used recently do not use an adequate security algorithm so that it can still be broken by criminals or irresponsible parties. The system designed is intended to reduce or minimize home burglary against the part of the system applied in certain homes or rooms. Due to the imitation of passwords that are always the same or static, they are inputted when performing active or didactive security systems. Besides, to increase the level of security in the security section because of the application of the OTP (One Time Pad) method. The stages of the method are to implement the OTP algorithm and test its reliability and implement it on smart home security.
A Concept of Learning Design Of PID Control System Based On Matlab
Authors: Abubar Abdul Rahman , Hutabarat Libert Tommy , Peter Rossi 
Published: December 2019

Abstract
Learning the PID control system in the Control System courses in universities is mostly still using trial and error analysis methods with manual calculations. This kind of learning method has a weakness that requires a long time and has a high level of difficulty. To further enhance students’ understanding in the material of the control system, computer-aided learning media can be used. Matlab is one software that is very helpful for students’ understanding in learning to see responses of various combinations of parameters with different input variations. From the results of classroom action research, there were significant results in improving students’ understanding in the control system course, especially the PID control action material.
A Design of Analysis Influence of Channel Flow Instability Against Andongan On SUTT 150 Kv
Authors: Panjaitan Albert , Usman  , Suherman Benny 
Published: December 2019

Abstract
A Transmission lines airgenerally use ACSR type conductors. Increased demand for electrical energy, the effort to increase the transmission line capacity is done by optimizing the current carrying capacity of the existing transmission line, but the problem that arises in this optimization is the increase in voltage and the portion of the conductor. This study aims to determine the effect of channel flow instability on the conductor temperature, the conductor section, andongan angle and conductor voltage, which is then useful for the construction of the transmission line construction structure in accordance with the mechanical properties of the conductor used. The calculation in this study uses the heat balance equation to calculate the conductor temperature. The Basic Span Length method is used to determine the equivalent span length.
Enhanced of Speed Monitoring Brushless DC (BLDC) Equipment and Controller Based on Arduino
Authors: Aryza Solly , Lubis Zulkarnain , eh kan Phak len , khairunizam Wan , Hamdani  
Published: December 2019

Abstract
Because the BLDC motor (Brushless Motor Direct current) does not have a brush, it sounds noisy, and maintenance is more comfortable and has a higher efficiency than induction motors. The design of monitoring and motor speed controller starts with a 5 volt DC voltage from the power supply used to supply the Arduino Pro mini. In the Arduino Pro mini potentiometer as the input circuit to accelerate or slow down the motor rotation, then Arduino will control the BLDC motor through the driver circuit. When the BLDC motor runs the speed sensor circuit will read the speed of the BLDC motor is then by Arduino will be displayed to the LCD. From the test performed can be seen form PWM (Pulse Width Modulation) it and can set the form of PWM by changing the voltage using a potentiometer in the circuit.
Implementation of Tahani Fuzzy Logic Method for Selection of Optimal Tourism Site
Authors: Hadikurniawati Wiwien , Winarno Edy , Prabowo Arif Budi , Abdullah Dahlan 
Published: December 2019

Abstract
Indonesia has a variety of tourism industries. Travel makes people’s interest increase in visiting tourist sites. A recommendation application in the field of tourism is needed for the selection of the right tourism object was to be implemented in Central Java. This application is expected to provide information on prospective tourists in choosing tourist attractions effectively. This application can facilitate prospective tourists to choose tourist objects that match the criteria by applying the fuzzy tahani method. Fuzzy Tahani describe a fuzzy query processing method, based on language manipulation known as SQL (Structured Query Language). The Fuzzy Tahani model is very appropriate to be used in the process of finding the right and accurate data. Variables used in this application are variable ticket prices, number of facilities, number of visitors, distance traveled and types of tourist attractions.
Drug Users Prediction Using Backpropagation EducationalMethod
Authors: Abdullah Dahlan , Pardede A M H , Umami Liza , Manurung RosidaTiurma , Suryani Rini , Surya Sara , Saddhono Kundharu , Mulyaningsih Indrya , Sudarsana I Ketut , Brata DiahPujiNali , Mahatmaharti Rr Agung Kesna , Novziransyah Nanda , Amalia Ainna , Effendi SantosoUjang , Samidah Ida , Murwati M 
Published: December 2019

Abstract
The Artificial Neural Network in this study has been used to predict drug users by using the backpropagation method with the Matlab 7.7 software program. The variables consist of the number of drug users, the type of drug used and the employment status of drug users. The data input from 2010 to 2012 while the target data is 2013 data consequenlty if input data and target data are processed on artificial neural networks will produce output that can predicts 2014 drug users. Predictions actually consider the value which has not been seen in the future based on past data. Prediction is the process of predicting something by correcting the previous action. To predict a condition, it requires proper calculation to answer the problem. The calculation can use artificial neural networks with the backpropagation method.
Data Mining to Determine Correlation of Purchasing Cosmetics With A priori Method
Authors: Abdullah Dahlan , Pardede A M H , Cahayati Eli , Iskandar Akbar , Sari Ayu Esteka , Arifin Muhammad , Sari HerlinaLatipa , Nuryana Ida , Siregar Nurintan Asyiah , Surya Sara , Apituley Lilian G F , Wuryani Eni , Kuraesin Arlis Dewi , Erliana Cut Ita , Setiyadi Didik 
Published: December 2019

Abstract
Data mining is the process of analyzing data using software to find patterns and rules in the data set. Data mining can analyze large data to find knowledge to support decision making. In this study the Rule Association will be discussed as one of the data mining functions implemented using the A priori Algorithm. There will also be analyzed two support calculation techniques in candidate generation in the A priori Algorithm, such as: K-way and 2 Group-By in three sample datasets with transaction attributes id and item. In this study the problem of support calculation in candidate generation is the bottleneck of the A priori Algorithm where the improvement of the A priori Algorithm was emphasized on the candidate generation and the effectiveness of the A priori Algorithm. This research was lead on the Oracle RDBMS by utilizing WEKA tools to determine maximum support and confidence and to find out the correlation between products. The results shows the highest confidence value at 93% if you buy DeepClensingMilk and DeepClensingToner then you will buy Whitening Soap with confidence = 93%.
Identification of Lung Cancer Using Backpropagation Neural Network
Authors: Andayani U , Rahmat RF , Syahputra M F , Lubis Afriani , Siregar B 
Published: December 2019

Abstract
Lung cancer is the most common cause of cancer-related human deaths in both men and women. Doing chest radiography is one of the first steps was investigated for lung cancer identification. In this study, theChest X-Ray imageswould be used as an input in pre-processing and continuing the feature extraction to be used in neural network process as a method proposed to identify lung cancer using backpropagation algorithm. Pre-processing is a first step to do some process such as scaling and greyscaling, the segmentation was K-means clustering process, then do the feature extraction usingGrey-Level Co-occurrence Matrix (GLCM) and identification using Backpropagation done by this study to identify the lung cancer. This study showed that the proposed method was able to identify the presence of cancer with an accuracy of 75%, sensitivity 75% and specificity of 75%.
Design of Automatic Plant Areas Using Humidity Sensor Based On Internet of Thing
Authors: Gunawan G , Sari Marliana , Surbakti Benar , Ginting Agustina 
Published: December 2019

Abstract
Reservoir has many benefits for the community, one of them is as a means to irrigate land and paddy fields. Normally Open and close the valve on the reservoir is done manually and there are many reservoirs that have less solid wall of resistance. Thus causing the dam wall was destroyed. This tool aims to replace manual work becomes automatic and control the water level in the reservoir. The benefits of this tool is to be able to monitor the water level in the reservoir and make the process automatic irrigation. The sensors used in these tools is the HC-SR04 Ultrasonic sensors are used to measure the water level in the reservoir, Sensor soil humidity(YL-69) was used to detect the soil humidity in the paddy fields, RTC (Real Time Clock) is used to display the time, the servo motor is used for opening the water valve to the paddy fields and rivers, Module SIM 800L is used to transmit data the output of this tool to the mobile station devices. Arduino Uno is used to control the input and output. Water level control device based on SMS (Short Messaging Service) and Arduino Uno gateways have been tested and the result is a process of can be done automatically and information from these tools can also be viewed through the LCD mounted on the tool. 800L SIM module is used to transmit the data of the output of this tool to the mobile station devices. Arduino Uno is used to control the input and output 800L SIM module is used to transmit the data of the output of this tool to the mobile station devices. Arduino Uno is used to control the input and output. Water level control device based on SMS (Short Messaging Service) and Arduino Uno gateways have been tested and the result is a process of irrigation can be done automatically and information from these tools can also be viewed through the LCD mounted on the tool.
Machine Learning for Tubercolosis Classification Based on Treatment History
Authors: Darnila Eva , Ula Mutamminul , Mauliza  , Pahendra Iwan , Ermatita  
Published: December 2019

Abstract
TAn important step in data Tuberculosis analysis is data exploration and representation. Tuberculosis treatment is crucial to protect the patients and it can lead to death in untreated in countries with low income. In this case, we use the machine learning technique by using Support Vector Machine for classification the tuberculosis time series to analysis and represented based on the treatment history. We use Tuberculosis dataset which employed from Province Aceh, Indonesia. The result indicated the performance of the designed system was successful and could be used in Tuberculosis treatment analysis based on the histories in Aceh Utara and Lhokseumawe.
Decision Support System of Teacher Performance Assessment with Smart Method
Authors: Turnip Mardi , Pipin  , Aisyah Siti , Sembiring Anita Christine , Murniarti Erni 
Published: December 2019

Abstract
In general, the teacher assessment process in Indonesia is still carried out conventionally (this results in the length of time needed for decision making). The criteria used in these study are pedagogic, personality, social, professional. In this research, web-based decision support system application with SMART method will be built. Based on the research conducted, there were significant differences before and after using this application.
Implementation artificial neural network nguyen widrow algorithm for lupus prediction
Authors: Aisyah Siti , Harahap Mawaddah , Dharma Abdi , Turnip Mardi 
Published: December 2019

AbstractLupus is a type of skin disease known as 1000 face disease. This term arises due to this chronic disease causing symptoms and signs that are almost similar to other diseases. Artificial neural network is one method that can be used to help the medical world in managing clinical data. Nguyen Widrow is one of the algorithms and artifical neural network that can be used to make predictions and improve the iteration process. this study applying Nguyen Widrow algorithm in predicting lupus by Matlab. Based on the results of the training process, the Nguyen Widrow initialization algorithm is able to recognize patterns of 80% or range 16 of the 20 datasets. As for the results of testing Nguyen Widrow initialization algorithm with the initials activation function hidden = logsig, activating output logsig, target error 0.1 and learning rate 0.1, Epoch 10000 able to recognize 100% of patterns from 10 existing datasets. So from that it can be concluded that the Nguyen Widrow initialization algorithm can be used to predict disease patterns.
School Laboratory Management Information System
Authors: Riswanto  , Suseno Nyoto , Partono  , Harjati Purwiro , Dedy HA 
Published: December 2019

Abstract
School laboratories have an essential role in helping the development of students’ thinking processes. However, until now many school laboratories have not functioned well in supporting the learning process. One of the causes that there is no practical and efficient laboratory management system. Laboratory work now feels very complex which requires persistent. On the other, technology is developing very rapidly in the current era of the 4.0 industrial revolution, which is demonstrated by cyber technology. This cyber system provides an opportunity to develop a laboratory management system that is easier both in administration and management. Therefore the purpose of this study is the development of management systems for industrial revolutionary school laboratories 4.0. This development research method includes needs analysis (implemented), design, development, and implementation stages. Data analysis uses a qualitative approach through documentation, focus group discourse and questionnaire. The results of the research are online school laboratory management system products, which include online inventory systems, online laboratory documents, and online administration systems. The advantage of the online school laboratory management system is that inventory data of tools and materials can be accessed without limited time and space, virtually stored laboratory documents, and communication between laboratory administrators and users to be effective and efficient. The weakness is that the online school laboratory management system is necessary to input the initial data and the laboratory staff must have additional capabilities as an operator.
Smart Health Model With A Linear Integer Programming Approach
Authors: Pardede A M H , Mawengkang H , Zarlis M , Tulus T , Kadim L A N , Sihombing A , Ramadani S , Buaton R , Khair H 
Published: December 2019

Abstract
The concept of intelligent health is part of the realization of a smart city. Most hospitals experience shortages in the availability of resources, such as the lack of truly professional and qualified personnel in the health care field, limitations on hospital facilities and infrastructure. Capacity planning at the hospital is done by ensuring a balance between quality given to health care provided and the costs provided. The measuring instrument used in hospital capacity planning is to calculate the availability of resources at the hospital. In general, the capacity model is intended to calculate the amount of resources needed to be able to serve patients’ needs quickly. The problem that is the main description of providing optimal health services based on the concept of “smart health” is how to provide services as early as possible with limited use of health resources. The main assumptions of modeling are only one type of health service can be met by each patient at a time, the number of medical staff is sufficient to fulfill each request, and the type of disease experienced by patients can be handled by available medical staff. The model produced in this study is expected to minimize travel costs, service costs and other costs arising from inaccuracies in providing services to patients.
Application of linear congruent method in try out examination based on web application
Authors: Ramli  , Fitriana Liza , Hidayat Dody , Priyowidodo Stephanus 
Published: December 2019

Abstract
Passing the national examination is the main target for all students who are going to finish their high school. There are a lot of ways to get it, such as: taking course, get private learning, and do try out examination. Try out examination is a mechanism that is used as an exercise for students before carrying out the actual examination. But there are limitations of time, place, and money in having it. Not all students have a change to do it in a specified time or place, or have money to take it. In order to overcome these problems, we offer an application that could be used anytime and anyplace in low cost as long as they have internet connection with them. The application would be based on web and could be repeated whenever they want. Due it could be taken repeatedly, the questions should not be same every time they would do it. That’s why we propose linear congruent method as this method could produce random number. Practical advantages from these methods are: speed, ease of implementation, and availability of portable codes, parameters, and test results.
Implementation of Building Construction and Environment Control for Data Centre Based on ANSI/TIA-942 in Networking Content Company
Authors: Shahrani T. Maisha , Ramdhania Aliyya Nur , Lubis Muharman 
Published: December 2019

Abstract
The data centre room is different with other networking or IT type of room, which its space are necessarily required certain stringent requirements to achieve borderline of safety and stability in the prevention of interference or disturbance either physically or digitally. Therefore, it should also take note of the ease and access of the user to the data by considering the aspect of necessities and maintenance. Data center also transport energy upstream and greenhouse gas emissions due to processes, the resources and capital equipment used to extract and build, which should be considered carefully to avoid worst case scenario. This study explore the implementation issues in specific networking content company in Indonesia to manage building construction and environment control based on criteria derived from ANSI/TIA-942.
Responsive Innovation through Perceived Shared Values and Preferences of Customers
Authors: Lubis Muharman , Fauzi Rahmat , Sutoyo Edi , Abdulmana Sahidan 
Published: December 2019

Abstract
Responsive Innovation can be define as the attempt from the corporate or respected individual to bring the solution from particular problem by offer more ideal practical implementation based on specific requirement in the market. This type innovation can be generated or effectuate through modifying, combining, substituting or eliminating current process of problem solving or decision making in the market to be more precise, efficient and rigid compare to the previous. This study explore the possibilities to identify the characteristics of responsive innovation by developing web and mobile application based on the demand in the market with the several criteria namely number of exist application, higher demand, user experience attachment, attractive market and small routine margin of profit. Thus, this study present the application design called eLo and FunBuz to make it easier the process of order or reservation online.
CCTV Camera Controller Simulation Using Arduino Uno and Joystick
Authors: Khair Ummul , Lestari Yuyun Dwi , Perdana Adidtya , Budiman Arief 
Published: December 2019

Abstract
CCTV or Closed Circuit Television is a tool that can help improve the security system and minimize theft both in private homes and public places. But not all CCTVs are equipped with drive motors in all directions and can be used to monitor at an angle that is difficult to reach by CCTV. So that it can minimize the use of the number of CCTVs used to reach every difficult angle seen by CCTV. In this study a simulation tool was designed that combines CCTV with Arduino UNO circuits, Joysticks, Servo Motors, DC Motors, and Relays so that CCTV can move vertically and horizontally. With the development of this simulation system, it is hoped that it can more efficiently cost the cost of moving CCTV, with a webcam monitoring system and controlled movement through the joystick. And with this simulation can be an alternative to CCTV systems.