bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparing Classification via Regression and Random Committee for Automatic Sleep Stage Classification in Autism Patients
Authors: Yulita IN , Fanany MI , Arymurthy AM 
Published: September 2019

Abstract
The prevalence of autism children has increased rapidly in the last few periods. There is no cure for autism. But the management and treatment of accompanying medical conditions can be done. One of the effects of his medical condition is a sleep disorder. But children with autism have difficulty communicating the disorders they experience. In medicine, the detection of sleep disorders can be done through a test called polysomnography. One of the purposes of this test is to find the patient’s sleep patterns through the sleep stage classification. But the doctors need several days to analyze each test. This study proposes an application that can classify it automatically. The method used was based on machine learning. The two classifiers were classification via regression and random committee. The both performances were compared in sleep stages classification for the autism patients. The result showed that random committees had a higher performance than classification via regression. Its performance got more than 85% for accuracy, precision, recall, and F-measure. This study also implemented resampling to overcome imbalance class problems. It can be seen that this process was useful in improving the performance of both classifiers.
Design prototype of audio guidance system for blind by using raspberry pi and fuzzy logic controller
Authors: Ma’muriyah Ni’matul , Yulianto Andik , Lili  
Published: September 2019

Abstract
With almost 3.75 million people with visually impaired in Indonesia, according to statistical data shown that most of them not live in prosperity. To increase their productivity they need an assistive device that’s allows them to navigate freely. This paper presents a novel Audio guidance system for blind in the shape of simple bag with earphone for giving them an audio guidance efficiently and safety. Different with other audio guidance, we propose a simple system consist of Raspberry Pi Camera and Ultrasonic Sensor as input, Raspberry Pi, Earphone and Power bank. This system is initiated by providing a voice command of the direction where the blind person must walk or go through, so they can avoid from obstacles. We also apply Fuzzy Logic Controller (FLC) to detect the obstacles along they walk by using 3 ultrasonic sensors. The experimental result shows that by using FLC and interfacing by Raspberry Pi the proposed system can effectively to detect the obstacles and give direction with 2.32% distance error.
Simple Designed of High Voltage Pulsed Electric Field Generator Based on Fly-back Transformer
Authors: Tarigan Kerista , Perangin-angin Bisman , Brahmana Kurnia , Manalu Andriono , Sinambela Marzuki 
Published: September 2019

Abstract
The high pulse voltage low power supply can be built with fly-back transformer as a converter. Generation by using fly-back converter is a significant method which can be improved the circuits of the device to make it simpler, and occupies a smaller space, and cheaper. The study aimed to study and develop a device that will obtain a high pulse voltage low power supply. The results of the study obtained are, the high pulse voltage has reached 50 kV at the frequency of 100 kHz. In addition, when the high pulse voltage is fed to the plane parallel, then at the distance of 50 cm there is a spark, which means it is can generate high pulsed electric fields, it was 50kV/cm.
Fetal heart detection based wide area network technology with wireless sensor transmission
Authors: Ginting Chrismis Novalinda , E. Lister I Nyoman , Silaen Mangatas , Girsang Ermi , Laila Yonata , Turnip Mardi , Turnip Arjon 
Published: September 2019

AbstractFetal heart detection technology, especially in remote areas, has so far been manual and lacks facilities for monitoring fetal safety. This results in many pregnant women at risk of labor, so early detection of fetal heart conditions becomes important. Development of fetal heart detector technology based on wide area network technology that is able to provide real-time monitoring results and is connected to the proposed wireless sensor network transmission. Its integration with smartphones makes it easy to use in rural and remote areas. The design of this monitoring system called detector of fetal abnormalities technology has the advantage of sending medical data for pregnant women and fetal heart conditions to families and to health care centers for pregnant women in large cities or obstetricians. Visualization of data in image, graphic and text, can be used as a digital-based maternal and fetal health detector tool. In the initial trial, fetal heart rate data from 4 pregnant subject were evaluated and obtained results with an average curation of 94%.
Characterization of Coal Fly Ash Based Adsorbent for CO2 Removal
Authors: Misran Erni , Bani Okta , Dina Sari Farah , Harahap Rizki , Wahyuni Novita 
Published: September 2019

Abstract
The study of CO2 removal from air-CO2 mixture using coal fly ash (CFA) based adsorbent has been conducted. The sieved CFA was calcined at various temperature (200, 300 and 400 °C) for 4 hours. The calcined adsorbent pellets were characterized before utilizing in CO2 removal. Result suggested that calcination temperature slightly affected the yield of adsorbents. Increasing calcination temperature decreased the density and bulk density; but increased the percentage of adsorbed moisture of the adsorbents. SEM micrograph revealed various shape and size of the adsorbent and matched the result of XRD pattern and EDS analysis. The characterized adsorbents then were utilized to remove CO2 in an adsorption column. The inlet mixture contained 35%-vol of CO2 with flow rate of mixed gas of 200 ml/min. The highest removal was accomplished by using CFA based adsorbent pellet with particle size of 140 mesh, calcination temperature 300 °C for 4 hours. The CO2 removal efficiency was 71.43% with adsorbent capacity of 8.027 mg CO2/g adsorbent.
The Implementation of Analytical Hierarchy Process for Determining Best Employee
Authors: Joselin Lisa , Tania Jessica , Merry  , Rusli Wilson , Bahri Edward , Sitanggang Delima , Turnip Mardi 
Published: September 2019

Abstract
In organisation, the judgement of best employee is still carried out conventionally. This is made the judgement takes time and long process. That is why to resolve the problem will be built a decision system using Analytical Hierarchy Processmethod. The criteria used in these study are attitude, productivity, discipline, cooperation ability, educational level, neatness, loyalty, realization of work plan. After using the application, the result is we have test the program three times with different criteria value. The first result is gotten within 3,2 minutes, second is within 4,5 minutes and the last time is within 3,3 minutes so the average AHP method report can be printed is in 3,7 minutes with 5 samples.
Understanding group signature methods in making digital signatures to maintain the validity of messages
Authors: Siregar Saut Dohot , Banjarnahor Jepri , Dharshinni N P , Tamba Saut Parsaoran , Robin  
Published: September 2019

Abstract
In this millennial era, a large amount of digital data traffic going through communication media on digital technology every day. Most of the data are documents and other essential information. The existing rapid development of technology nowadays, information can be easily faked. To make sure the validity of a digital document, a digital signature is required to verify the originality of the document. The purpose of this research is to design software which implemented the group signature algorithm to apply and verify digital signatures. The Signature Group algorithm used in this research is the Tseng-Jan scheme. The Tseng-Jan scheme consists of 5 stages: setup, join, sign, verify, and open. After applying the algorithm using 2 digits key and 3 digits key on the samples, 80% of the verification experiment on 2 digits key was succeeded 70% of the verification experiment on 3 digits key was succeeded.
An expert system for diagnosing plant diseases using certainty factor and backward chaining based on android
Authors: Tambunan Angel Mariana , Siringoringo Sari Ratnawati , Aruan Rani , Aisyah Putri Intan , Sitanggang Delima 
Published: September 2019

Abstract
Rice is a producer of basic human needs that have a very important role. Every use of new seeds can cause disease in new plants and often the results obtained are not optimal because they do not know more precisely the type of disease that attacks the rice plants. Most rice farmers still use manual methods to find out the existence of the disease in the rice plants, namely by seeing it directly in the rice fields so that often rice farmers are too late to know these symptoms due to the lack of more knowledge and understanding of rice plants. To overcome the problems that occur it takes a system that has the knowledge like an expert. In this study, an expert system with an Android-based design was designed to make it easier for farmers to access information and can be used as a tool to diagnosediseases in rice plants so that they can be accessed wherever and whenever to overcome the problems faced by farmers. In this system applying the backward chaining method as the basis of the rules and the certainty factor method as weighting, so that by using the method that has been applied in testing various types of diseases and symptoms, the diagnosis of the type of blast disease is 68,83%.
Food Packaging Search Application From Text Image In Android With Deep Convolutional Neural Network (DCNN) Method
Authors: Aisyah Siti , Nainggolan Fransiska Susilawati , Simanjuntak Melva , Lubis Edi Apriyanto 
Published: September 2019

Abstract
Search Application Info on Food Packaging with Image Input based on Android is one application that can make it easier for users to see a description of the ingredients on food packaging. This application uses the Deep Convolutional Neural Network (DCNN) method which is able to show outstanding performance in the field of image recognition, especially in the field of character recognition, because DCNN has a performance capable of extracting high-level features. Detailed information on food packaging is usually written on food packaging with a small font size that makes it difficult for consumers to read it, and on food packaging there is also no selling price of the product. This makes it difficult for consumers who only want to know the information and prices of these food products. A method is needed to get a text version of the food packaging brand image and to become a search keyword on the food information service site. In this report, we will examine digital image processing especially in the field of pattern recognition to analyze the titles contained in food packaging in real time. This research will utilize smartphone cameras that are used to detect objects specifically for food packaging to see the price, composition, brand, net weight and description of the food packaging based on the food packaging detected.
Web-Based Automation Speech-to-Text Application using Audio Recording for Meeting Speech
Authors: Yasir Muhammad , Nababan Marlince NK , Laia Yonata , Purba Windania , Robin  , Gea Asaziduhu 
Published: September 2019

Abstract
The use of technology is very important nowadays. Most of everyday activities are documented and stored in digital form. One of those activity is recording. Activity of an organization is very important, therefore recording of meeting material is one of those important activities. Usually the meeting material is documented by writing them into papers or typing them and stored them into computer. Sometimes, the meeting information is written or typed incorrectly so a speech-to-text application is required to solve this problem. In this study, the solution offered is to implement a web-based automation speed-to-text application which can record the voice of meeting participants then converted them into text automatically, so the results of the recording process of meeting materials are more effective and efficient By using voice recognition feature its called web kit Speech Recognition, this system can be implemented. After successfully implementing this application which is so called Speech Meeting Web kit system, the average value for duration system for Indonesia and English language is 96,63 % and 82,78 %.
Effect of Release Coefficientof Orifice Plate on Water Fluid Flow Systems
Authors: Hutagalung Sutrisno Salomo 
Published: September 2019

Abstract
The orifice plate is used to estimate the flow rate of a mass flowing through a pipe by connecting the measured loss pressure and mass flow rate. In this paper, the relationship between Reynolds number (Re) and Cd is observed based on pressure variations in a pipe. The test results show that the release coefficient rapidly decreases when the Reynolds number approaches 1 for each meter of flow. By knowing the difference of the occurs pressure, the value of the parameter Cd can be calculated from the actual discharge ratio to its theoretical. The calculation results show that the average value of Cd for the orifice plate sensor about 0.599 (with a deviation value of about 0.001 and Re value around 105 is obtained.
Decision Support System on Selection of Lecturer Research Grant Proposals using Preferences Selection Index
Authors: Sundari Siti , Karmila  , Fadli Masduki Nizam , Hartama Dedy , Windarto Agus Perdana , Wanto Anjar 
Published: September 2019

Abstract
The Institute for Research and Community Service is a forum for lecturers at every university/institution to develop their knowledge according to their respective disciplines through research fields. This study aims to determine the recipient of the best research grant at STIKOM Tunas Bangsa Pematangsiantar. Research data comes from relevant agencies. There are 9 names of lecturers that are used as alternatives and 5 criteria as the assessment of grantees, namely type of problem formulation (C1), research output opportunities (C2), research method (C3), literature review (C4) and research feasibility (C5). This study uses the Preference selection index (PSI) method. In this method does not require relative determination of attributes, so the researcher does not need to determine the weight criteria. Based on the results of the study obtained several alternatives with the highest preference value, A8 (index selection value 0.8819), A9 (index selection value 0.8627), A4 (index selection value 0.8447), A3 (index selection value 0.83123) and A5 (Index selection value 0.8184) are entitled to get an internal research grant at STIKOM Tunas Bangsa. With this system, it can be used as a comparison between reviewer evaluators and the PSI system so as to maintain the quality of assessment in determining the recipients of internal research grants objectively. It is hoped that this research can provide recommendations to the Institute for Research and Community Services in determining internal lecturer research proposal grants so that the results obtained are more objective.
Analysis of Possibility of the Combination of Affine Cipher Algorithm with One Time Pad Cipher Using the Three-Pass Protocol Method in Text Security
Authors: Ridho Abdurrahman , Dewi Ananda Mutya , Siregar Rosma , Zarlis Muhammad , Hartama Dedy 
Published: September 2019

Abstract
The use of the Three-Pass Protocol method in exchanging secret text messages is one effective method because the two interested parties do not need to use a single key to open the message sent. But there is a possibility that the message cannot be described because the cipher used is not suitable. The purpose of this study is to show whether the Affine Cipher Algorithm with One Time Pad Cipher using the Three-Pass Protocol method can be used to encrypt and decryption the text message.
Fleet Size from Split Delivery in Vehicle Routing Problems
Authors: Hasibuan H S , Suwilo S , Sitompul O S 
Published: September 2019

Abstract
Vehicle Routing Problem (VRP) is a problem of determining the route by minimizing the number of vehicles used to minimize the total mileage of a vehicle to deliver an item to a customer that starts from a depot and ends at the depot. VRP relates to the distribution of goods, people, information, vehicles and roads. All customers must be visited only once and by one vehicle must not exceed the capacity of the vehicle. VRP varies due to real life constraints related to the type of vehicle, number of depots, conditions, transportation, and time period. Among them the problem of a heterogeneous vehicle fleet is a type of VRP whose vehicles have different capacities and costs, besides different vehicles also have a Split Delivery variation where customers can be visited by one, two, three or even four vehicles. This is due to the capacity constraints possessed by each courier, as a result if the first courier is unable to complete all orders from the customer then the order delivery can be continued by a second courier or other courier who also crosses the route from the customer. The aim is to minimize vehicle fixed costs and transportation costs. Where the problem is, each customer will get at least one delivery. capacity limit for each vehicle and determine the number of vehicles to be used in the delivery of goods. To find a solution to this problem, the Integer Linear Programming (ILP) model is used. The solution obtained is an optimal solution that minimizes the objective function and fulfills all constraints or constraints made. The results obtained show that the model created produces a distribution route with a minimum total distance.
A Car Flow Network Model For Lane-Based Evacuation Routing Problem
Authors: Julianto  , Mawengkang Herman , Zarlis M 
Published: September 2019

Abstract
The problem of evacuation is very important when a disaster occurs. Evacuation must have systematic planning and good calculation. The planning is related to determining the route and flow of the vehicle. The shortest route problem is a matter of how to travel from one point of source through the paths to the destination with the shortest distance. The shortest path is the minimum trajectory needed to reach a certain point. In addition to the trajectory that has passed the shortest route, it needs to be taken into account about the maximum flow of a network. The maximum flow problem aims to maximize the movement of a number of items or objects through certain paths from the point of source to the end point. In this paper, in the future a model of vehicle movement will be developed to evacuate victims with maximum flow and through the shortest evacuation route by taking into account the paths to be followed in order to implement an effective evacuation process.
Chance Constrained Programming for Capacitated Open Vehicle Routing Problems
Authors: Sihombing Dame Ifa , Opim S. Sitompul , Sutarman  , Nababan Ester 
Published: September 2019

Abstract
In open vehicle routing problems, the vehicles are not required to return to the depot after completing service. In this paper, the problem is extended by considering the reliability of the fulfillment of customer demands. Each customer has a demand and each customer is necessarily to be served by a single vehicle and no vehicle may serve a set of customers whose total demand exceeds the vehicle capacity. Each vehicle route must start at the depot and after serving the last customer it is not necessary for the vehicle to return to the depot. The objective is to determine the set of vehicle routes that minimizes the total costs, with chance constrained to guarantee that customers’ demand is satisfied. We solve the stochastic model using sample average approximation approach.
Modeling the Transmission of Infectious Disease in a Dynamic Network
Authors: Husein Ismail , Mawengkang Herman , Suwilo Saib , Mardiningsih  
Published: September 2019

AbstractThe transmission of infectious disease in epidemiological models usually is based on the assumption that population within random-mixing. Although medical developments can reduce the consequences of the spread of infectious diseases, prevention of plague remains a major toehold. After a model is formulated containing the main fitur the development and transmission of infectious disease, onward to the model can be used to predict, making eradication strategies, control or prevent the spread. Modeling the spread of the disease has the potential to improve the quality of human life. The social life of humans far more complex exceed a diverse population. The transmission dynamics of infectious diseases is sensitive to patterns the interaction between the individual vulnerable (susceptible) and contracted (infectious). Human social contact very heterogeneous group. To predict the impact of this pattern against the transmission of infectious diseases, the use of epidemiological random network model, where the nodes serves individuals exposed, contracting or cured and connectedness presents contact transmission. Type the model spread (epidemic) that examined the model type is exposed, tetular exposed, and cured, or better known as a type of SIRS.
An Optimization Model for Multi-Echelon Multi-Commodity Supply Chain Design with Side Constraints
Authors: Harahap Amin , Mawengkang Herman , Opim S. Sitompul 
Published: September 2019

AbstractA proper strategies in designing and optimizing supply chains can help enterprises to stay competitive in this volatile economy. Identifying various type of products that run through the supply chain and aligning several parts of the supply chain to these product types are considered to be effective strategies adapted by successful companies. In this paper we address an optimal design of a multi-echelon supply chain problem with various commodity that is of significance to the business enterprise, along with the associated inventory systems. By using the guaranteed service approach to model the multi-echelon inventory system, we develop an MINLP model to simultaneously optimize the transportation, inventory and network structure of a multi-echelon supply chain which involve multi commodity. The optimization model is then solved using a strategy of releasing nonbasic variables from their bounds, combined with the “active constraint” method.