bluuebunny/crossref_metadata_2025_split huggingface dataset:
Stability Of Line Follower Robots With Fuzzy Logic and Kalman Filter Methods
Authors: Sanjaya Ali , Mawengkang Herman , Efendi Syahril , Zarlis Muhammad 
Published: December 2019

Abstract
Line Follower Robot is a wheeled robot that has two wheels on the right side and two on the left side that can follow the line automatically. The robot is designed to navigate and move automatically following a line made and this robot should be able to maintain its stability. This line follower robot uses fuzzy logic method with accelerometer and gyroscope. To gain a good noiceless accelerometer response, Kalman filter is used. Kalman filter can minimize the error of the box in the noice sensitive control and level of noise in sensor before entering the control system. The results shows that robots are succesfully balances then selves, though interruped.
Implementation of Nihilist Cipher Algorithm in Securing Text Data With Md5 Verification
Authors: Haryannto Edy Victor , Zulfadly Muhammad , Daifiria  , Akbar Muhammad Barkah , Lazuly Ivy 
Published: December 2019

Abstract
The development of information technology that is increasingly racing today makes it easy for anyone to exchange data or information. On the other hand, there are problems with data security which can be disrupted by irresponsible parties such as wiretapping, destruction, data theft or other misuse. The application of cryptographic techniques is one solution that can be done to overcome these security problems. Cryptography is the science or art of maintaining data security by scrambling data or messages. In cryptography the term hashone-wayfunction is widely used to test the integrity of a file. In this study, cryptographic algorithms and hash functions used are Nihilist Cipher and MD5. Messages or files textthat will be sent are firstencrypted using thealgorithm Nihilist Cipher. Then the MD5 algorithm is used to get the hash value from the encrypted message. Furthermore, to get the original message back bydecryption Nihilist Cipher, the file verification process is first done to ensure that the file receivedhas not changed or is still original. The results show that thealgorithms Nihilist Cipher and MD5can be implemented properly so that data security can be increased because before decrypting the message, the message has to be verified first.
Application of Method Threshold Secret Sharing in Securing Data
Authors: Haryanto Edy Victor , Daeli Simeoni , Riza Bob Subhan , Iriani Juli 
Published: December 2019

Abstract

Threshold secret sharing is one of the cryptographic techniques to secure a confidential data by dividing or distributing the data into several parts called shares, each part of the data does not provide any information about the secret in question if it is not combined with other parts. In general, thescheme is secret sharing divided into three namely Threshold, Prevention and Disenrollment schemes. The scheme applied to this application is the threshold secret sharing. Threshold secret sharing, has a concept that allows n people participated to hold fractional(share) different generated from s. Meanwhile, to reconstruct the data, it is necessary to have different pieces ofshare, each of which is held by a different participant. The security system that will be created using one of the platforms commonly used today is Visual Basic.NET
Integrating MLP With Algorithm with AHP Modification For Car Evaluation
Authors: Harianja Eva , Lumbantoruan Gortap 
Published: December 2019

Abstract
Analytic Hierarchy Process is a well-known technique in decision making to handle the complexity of multicriteria problems based on hierarchical criteria and sub-criteria structures, evaluate alternative problems and rankings, and choose the best alternative. Decision results in the form of the best alternative are obtained based on the priority weight that each attribute has. The weight search process is carried out by forming a pairwise comparison matrix. But the problems that often occur when doing pairwise comparisons, the AHP method cannot provide a consistent comparison value, especially for problems with a large number of criteria and alternatives. Inconsistent pairwise comparisons will result in the weight of the criteria compared cannot describe the actual conditions. To avoid the problem of inconsistency in the AHP method can be done by minimizing the formation of pairwise comparison matrix. This study discusses how the search process weighted on the problem of Multiple Attribute Decision Making (MADM), especially in AHP techniques using a multilayer perceptron network in determining alternative selection. The results of the study prove that the use of multilayer perceptron can provide better results and save time because the creation of a pairwise comparison matrix is smaller.
Development Of Binary Similarity And Distance Measures (BSDM) Algorithm For The Bond Of High Development System Of Video
Authors: Sandy C L M , Efendi S , Sembiring R W 
Published: December 2019

Abstract
This research makes new innovations in high measurement more effective in minimizing the time in measurement. But there has been no research for recognition of height measurement patterns using the Otsu algorithm and Binary Similarity and Distance Measures (BSDM) algorithms. These two algorithms are combined to optimize the working process of the system to be built. Based on the results of the algorithm’s complexity, BSDM has several binary similarities and distances that can be used in testing the system to be built. One of the binary similarities and distances used in testing this research is BSDM SINNERPRODUCT and BSDM SJACCARD. From testing the system using BSDM SINNERPRODUCT as effective as BSDM SJACCARD, between the two closer to the result of the actual height is testing BSDM SINNERPRODUCT. The test data used in this research is in the form of video image in real-time. To improve the quality of system work in future research, can add pattern matching algorithm for height measurement, The addition of the approach will certainly affect the speed of computation on pattern recognition.
Grayscale Image Quality Analysis Result of Noises Reduction using Adaptive Fuzzy Filter (AFF) and Spatial Median Filter (SMF) Against Image Depth Variations
Authors: Pardosi Irpan Adiputra , Lubis Ali Akbar 
Published: December 2019

Abstract
Removing salt and pepper noise in the image will have an impact on information in the image, with a greater percentage of noise, the changes in the results image will also be large, this is very likely different from the types of grayscale images with different depths such as 8, 16 and 24 bit. The percentage of noise that will be used starts from 45%, this is based on previous studies which reveal the ability of noise reduction algorithms to be able to work a maximum of below 20%, so that it needs to be studied more deeply the performance of the algorithm and its impact on images with greater noise. From the results of previous research studies, the Spatial Median Filter algorithm and Adaptive Fuzzy Filter algorithm can reduce noise with the maximum percentage of noise below 45% in the 8 Bit image, but leave some noise after being reduced. The test results on grayscale image obtained the average overall results quality Adaptive Fuzzy Filter algorithm is better than Spatial Median Filter in terms of image quality using PSNR but the diversity of information is even more reduced compared to the SMF algorithm referring to the entropy shannon value.
Server Temperature Monitoring System Using Web Based Censor And SMS Gateway
Authors: Sari Marliana , Gunawan  , Sadikin Nanang 
Published: December 2019

Abstract
Server is computer that act as servant in network. Server manage data traffic and provide resource for user in the network. Some roles of server are file server, database server, print server, directory server, and web server. Performance of the server must be monitor. Censor is a device that can transform a value from one form to another form. The data for Server temperature monitoring system collected using DS1621 censor. Steps in design of server temperature monitoring systems are using waterfall methods that is problem identification and data collection in the planning process, requirement analysis, hardware and software integration design, database design, menu design, STD, coding with flowchart, testing, summary and maintenance. Censor in the server temperature monitoring will send temperature data using sms gateway to the administrator. Administrator will be informed as soon as possible if the server having upper limit temperature and can act immediately to resolve the problems.
Secure Data Encryption Through Combination of RSA Cryptography Random Key Algorithm and Quadratic Congruential Generator
Authors: Khairina N , Harahap M K , Husein A M , Muhathir  , Muliono R 
Published: December 2019

AbstractA cryptographic algorithm is used to enhance the security of the data. Algorithms whose security level is not too strong will pose a risk to data security. To safeguard the security of data, the key on the cryptographic algorithm is made as strong as possible, in order to avoid from irresponsibility parties. This paper uses the random keys for the Rivest Shamir Adleman Algorithm. The random keys that used to encrypt each plaintext letter are always different. The random key was originally formed from the first value of iteration, and it was called as seed. The seed for forming the value of p and q which generated by the Quadratic Congruential Generator Algorithm. The combination of the RSA Random Key Algorithm and the Quadratic Congruential Generator algorithm shows that each plaintext letter has own unique value of p, q, public key, and private key. This value is really always different for each encryption process. The result from this research can measure from the resistance of the cryptanalyst attack. The resistance of the RSA Random Key Algorithm toward the cryptanalyst attacks is 64 %.
Analysis of Detection of Drow and Entire Co-Occurrence Matrix GLCM Method on The Classification of Image
Authors: Simanjuntak Taufik Ismail , Suwilo Saib , Sembiring Rahmat Widia 
Published: December 2019

Abstract
Grey level co-occurrence matrix or GLCM is a method for obtaining features of a textural image. On the previous study of GLCM, using only 4-degree degrees 0, 45, 90 and 135 in calculating the result of features. Periodicity, directionalityand randomness are the three most important factors in characterizing textures. Therefore, textural directionality is a basic feature of the image and plays an important role in image descriptions, which can be used to describe image textures. So this research will analyse the effect of modification of directionality or direction of adegree of texture distribution on GLCM by using 8 degree direction, which is degree 0, 45, 90, 135, 180, 225, 270, and 315 to know theeffect that impact on theimage by using support vector machine as aclassifier. The results showed that the SVM classifier was not able to work well on GLCM feature extraction, but the performance of the modification resulted in a consistent increase in accuracy by performing 10 tests.
Examining generation X experiences on using e-commerce: integrating the technology acceptance model and perceived risks
Authors: Panjaitan M , Winarto  , Napitupulu J , Maslan J , Normi S 
Published: December 2019

Abstract
The electronic-commerce (e-commerce) has become an important platform for conducting business. While information researchers and market practitioners are trying to fully understand online consumer attitude and behavior, there is a research call on investigating users’ behavior on using online shopping based on the generational differences. This research is mainly about examining Generation X on using e-commerce. The research aims to examine the Generation X’ perceptions and experiences towards e-commerce based on the Technology Acceptance Model (TAM) and perceived risks. Based on the perceived risks and the Technology Acceptance Model, this study collected data and interviewed generation X respondents. The results indicate that the generation X’ perceptions were positive in term of the usefulness and the ease of use of e-commerce. In addition, the challenge for Generation X to shop online was related to the risks such as product risks, security and privacy risks, financial risks, and delivery risks. This paper also offers managerial implications and suggestions for future research.
Clinic Management System: Business Process Re-engineering based on User Experience (UX)
Authors: Lubis Muharman , Sutoyo Edi , Handayani Dini , Azuddin Muna 
Published: December 2019

Abstract
Clinic management systems has function to arrange and organize the inherent process in the health facility to be harmonized with the patient’s demand. The purpose of this paper is to analyse the common theme to be used in user interface of the application through identification of user specification based on the context. The user experience has been utilized to consider the critical aspect of successes of implementation related to human factor of mental model, which are utility, ease of use and efficiency. The contribution of this paper is twofold, firstly, the design process should be done through tremendous redesign of primary business process to obtain excessive improvement in the capacity, capability and quality of the service. Secondly, the information presentation should be provided in alternative way involving the effort to have more platform and modes to increase accessibility and availability.
Model of Information Technology Facility Service Based on user Satisfaction
Authors: Roslina R , Saulan Syafrizal , Wanayumini  
Published: December 2019

Abstract
Most research concerning user satisfaction in using Information Technology focuses on user feedback resulting from the use of information systems as a tool to retrieve or produce information. In this case, information technology facilities provide offered hardware and software that can be used by customers to produce information, such as data analyzing software, without considering the specific needs of users. This research focused on customer responses when IT service providers understand their needs before giving them service, which includes hardware, software, staff, room and utilities provided by the information technologyservice provider. The factors that affect the level of user satisfaction were analyzed and the result showed, firstly, that there are three factors that affect the level of user satisfaction, which are: staff service, the utility that is gained, and the equipment system. Secondly, a model has been developed to information technology facilityservice.
DEA Model with Hesitant Fuzzy Polyhedral Set in Benchmarking
Authors: Abdullah Dahlan , Hartono H , Erliana Cut Ita , Irwansyah Defi , Siregar Nurintan Asyiah , Sari Ayu Esteka , Hasibuan Abdurrozzaq , Abdussakir  , Kurniasih Nuning , Mas’ut  , Rangkuti Irma Yanti , Nurmawati  , Buston Erni , Abdurrahman Apridar , Handayani Tita Septi , Hadikurniawati Wiwien , Winarno Edy 
Published: December 2019

Abstract
Data Envelopment Analysis (DEA) method is a linear programming approach that has been widely used as a framework for evaluating efficiency and measurement. DEA decision making is often faced with situations where the existing DMU has input and output that contains fuzzy and hesitant elements so that it is difficult to make efficiency measurements. This study will design a DEA model in the state of inputs and outputs that contain hesitant elements by using polyhedral uncertainty sets. The results of this study are expected to produce a benchmarking model with DEA that can overcome the hesitant element and have the advantage of using a polyhedral uncertainty set that can measure the linearity of the nominal problem.
Improving Performance Genetic Algorithm on Knapsack Problem by Setting Parameter
Authors: Saragih Rijois I.E. , Saragih Naikson F. , Aritonang Mendarissan 
Published: December 2019

Abstract
This paper presents a solution for the knapsack problem which uses a genetic algorithm. Knapsack is combinatorial which is to find a good solution with constraint. In reality, this problem often happens. Unfortunately, making a good solution for this issue is not as easy as it is. In this research, it applied the genetic algorithm to find a good solution for that. The process is that a set of items with weight and value, then the selection of the items to be inserted into the backpack (knapsack) with limited capacity. So the items weighing should be smaller or equal to the capacity of the backpack, but the total value is as large as possible. A genetic algorithm is a heuristic searching algorithm based on natural selection of mechanism and nature genetics. The result suggests that the genetic algorithm can do a better performance than other comparable models by setting GA parameter.
Smarthome Using Android Smartphone, Arduino uno Microcontroller and Relay Module
Authors: Sadikin Nanang , Sari Marliana , Sanjaya Busye 
Published: December 2019

Abstract
Today life become easy and simple because of technology. Internet become the key for enables remote anything from anywhere. One of this application is smarthome system. Smarthome system able to control electric and electronic equipment from remote. This system can control electric and electronic equipment such as television, air conditioner, microwave, lamps, fan, etc using smartphone from the Internet. Power off and on all devices can be done remotely. Steps in design of smarthome systems are using waterfall methods that is problem identification and data collection in the planning process, requirement analysis, hardware and software integration design, application design, and testing. This system build using Arduino uno microcontroller, android smartphone, relay module, web server and ethernet module.
Analysis of Frequent Itemsets Mining Algorithm Againts Models of Different Datasets
Authors: Muliono R , Muhathir  , Khairina N , Harahap M K 
Published: December 2019

Abstract
Data mining is a study that uses statistical knowledge, mathematical calculations, artificial intelligence methods, machine learning by extracting and identifying useful information and related knowledge from various large databases.. One of them is looking for itemsets combination from the data stack, the search process can be done using the Apriori Association Rules algorithm, the FPGrowth Association Rule and Closed Association rule. The three algorithms are some of the implementations of frequent itemsets search methods. Two datasets will be tested, namely retail datasets and accidents datasets derived from fimi datasets, with the aim of knowing the behavior of the three algorithms against the dataset model we tested. Each algorithm will test both datasets, with minimum support values for retail datasets ranging from 0.01-0.05 and min-conf 0.01-0.05. Likewise on the accident min-sup and min-conf 0.6-1 datasets. For retail algorithm data with the fastest processing time, the FP-Growth AR algorithm is more than 85% compared to Apriori-AR, followed by AR-Apriori and Apriori-Close-AR. For detailed memory usage results the Apriori-AR algorithm is lighter and outperforms. Accident data the experimental results show that FP-Growth-AR is a little more memory efficient and the fastest process is Apriori-Close, while the Apriori-AR with the longest processing time.
Solving Minimum Vertex Cover Problem Using DNA Computing
Authors: Hasudungan Rofilde , Pangestuty Dwi M. , Latifah Asslia J. , Rudiman  
Published: December 2019

Abstract
Minimum vertex cover problem is one of classical problem not only in mathematic but also in computer science. However, this problem considered as complex problem since is classify as NP-Hard. This paper proposed new technique based on DNA computing that has good capability to tacked parallel computation. This paper provide new DNA encoding and a set Bio-operation procedure to solve this problem. The result of this technique yield the correct optimum solution with better time complexity (O(1)) compared the previous algorithms.
Analysis Discrete Hartley Transform for the recognition of female voice based on voice register in singing techniques
Authors: Muhathir  , Muliono R , Khairina N , Harahap M K , Putri S M 
Published: December 2019

Abstract
Automatic speech recognition is the ability to receive and identify spoken words by converting analog signals to digital and extracting unique vocal characteristics such as pitch, frequency, tone, and rhythm to form speaker models or sound samples. The voice sample used is the voice register, the voice register is the division of the area of the human voice based on the source of the sound, the sensation of the resonant space, shape, color, sound timbre, and the high and low tone produced. Discrete Hartley Transform is used as a transformation to process the sound sample to be classified. DHT, DHT + High Pass Filter and DHT + Low Pass Filter in transforming voice register signals can only classify with an average true positive rate of 69.67%. The addition of the filter does not affect the classification results because the sound frequency used is in ideal conditions so that there is no noise that affects the classification results of the voice register.
Ehance A Methode Power System Policies Based On SCS (Solar Cell System)
Authors: Nasution Darmeli , Nasution Donni , Lubis Solly Aryza 
Published: December 2019

Abstract
The Working Principle Of Solar Cells Is Very Simple. Solar Cells Are An Energy Conversion Tool That Transforms Solar Energy For Electrical Energy. Energy From Sunshine Accommodated Then Converted into Electrical Energy. Such Energy Can Be Used For Running Various Kinds Of Electronic Devices Starting From Lighting Lights, Moving Motor, And Many More Others. The following article is the effort that must be done to make solar energy as an alternative energy in overcoming the needs of household electricity in the village of Pardamean Dusun Gunung Tua Kec. Pahae Jae Kab. North Tapanuli North Prov. Sumatera Far Inside With Difficult Access And Unspoiled Electricity PLN.
Motor Drived Design Based On Pso And Pid In Reducing Ripple Tors And Ripple Fluxs In
Authors: Sunardi  , Dwiyanto  , Wahyudi  
Published: December 2019

Abstract
Direct torque control (DTC) of an induction motor tends to be a value determined from torque. The torque provided is the speed output regulator, therefore it must continue tuning to adjust the Kp, Ki parameters. In conventional proportional-integral (PI) speed controllers, motor performance may vary from time to time which may cause uncertain torque disturbances, causing a flux response sluggish so that the choice of PID parameters is important for DTC systems. In this paper we present control techniques using Particle Swarm Optimization (PSO) to improve parameters (Kp, Ki) of the speed controller to reduce torque ripple, flux stator distortion ripple and fast response of rotor speed. Unlike conventional designs, this method is able to achieve the desired control performance. The closed loop control speed in the DTC for induction motors uses PSO techniques so as to provide a practical level of accuracy. The results show good features and strong exemplary in dynamic system response and decreased motor and transient torque.
Optimization Iteration Min-Max Cross Over Genetic Algorithm To Generate Fuzzy membership Function Automatically
Authors: Barus E S , Zendrato Niskarto , Barus Diana Alemin , Tarigan Pilipus , Khairuman Khairuman , Elhanafi Andi , Ginting Jenni Veronika , Fahmi Hasanul 
Published: December 2019

Abstract
Generating membership function fuzzy for Fuzzy system is important to representative of the problem. Some research generating a membership function automatic had done and still have a problem to generate procces in max iterasi, so that this research will generating membership function fuzzy otomatic used genetic algorithm by analysing the cross over point.