bluuebunny/crossref_metadata_2025 huggingface dataset:
Production and Characterization of Paper from Pineapple Leaves and Sugarcane Bagasse Pulp
Authors: Evelyn  , Komalasari  , Adegustias R A , Margaretha E A , Simanjuntak M S
Published: December 2019

Paper is the final product resulted from compression of fiber suspension of cellulose pulp, which is derived from wood or non-woody material. In this study, paper was made from mixture of pineapple leaves and sugarcane bagasse pulp (P:S, 100:0%, 80:20%, 60:40%, 40:60%, 20:80%, and 0:100%) at varying cooking liquor or NaOH concentration (1.5% and 3%) using semi-mechanical soda pulping method. Pulp characterisation (kappa number, tensile and tearing strength) was further carried out to ensure a stable pulp and paper quality. Results showed that the highest tensile strength of 6,709 kN was obtained at pineapple leaves and sugarcane bagasse pulp composition of 100:0% and NaOH 3%, whereas the highest tearing strength (1730,13 mN) was observed at the P:S of 40:60% with similar concentration of NaOH. The lowest kappa number (6,182) was also obtained at P:S of 0:100% and 3% NaOH. The pulp characterisation values have fullfil SNI No. 6519:2016 quality standard for plastic laminated paper.
Initializing the Fuzzy C-Means Cluster Center With Particle Swarm Optimization for Sentiment Clustering
Authors: Siringoringo Rimbun , Jamaluddin Jamaluddin
Published: December 2019

Fuzzy C-Means (FCM) is one of the best-known clustering algorithms, however, FCM is significantly sensitive to the initial cluster center values and easily trapped in a local optimum. To overcome this problem, this study proposes and improved FCM with Particle Swarm Optimization (PSO) algorithm for high dimensional and unstructured sentiment clustering. PSO is applied for the determination of better cluster center initials. The results showed that FCM-PSO can provide better performance compared to the conventional FCM in terms of Rand Index, F-measure and Objective Function Values (OFV). The better OFV value indicates that FCM-PSO requires faster convergence time and better noise handling.
The Probabilistic Power Spectral Densities for Combination of Broadband Seismic Network
Authors: Saragih Naikson Fainder , Dumayanti Imelda Sri , Situmorang Alfonsus , Naibaho Jimmy Febrinus , Sinambela Marzuki
Published: December 2019

The time series approach is commonly used to access the estimation of the power spectral densities of waveform data. This paper is concerned with the presentation of the assessment of waveform noise to measure the probability density function be done internally, we used the metadata from an inventory, a parser instance of DNP (Denpasar, Bali, Indonesia), IGBI (Ingas, Bali, Indonesia), and PLAI (Plampang, NTB, Indonesia) from BMKG IA-Networks and calculations are based on the routine used by McNamara Model. The consistency of the spectra is presented the DNP, IGBI, and PLAI network to verify the quality of data and also acts as a test performance broadband network to the time taken by the broadband network in the field and analysis the Lombok earthquake in 2018.
Data Mining Using Clustering Methods to Identify The Type of Lung Disease (Case Study: Siti Hajar Hospital)
Authors: Priambodo Rifqi Agung , Sitompul Opim S. , Zarlis Muhammad
Published: December 2019

In the process of grouping types of lung disease, doctors and staff Siti Hajar hospital experience the various obstacles encountered, including difficulties in grouping the data types of lung disease. This deployment planning analysis will help the hospital in analyzing data classification type of lung disease. This method of making use of data collection by taking data at the hospital.
Business Value Assessment for Global Service Provider Industry: Opportunities and Solution
Authors: Haris D M. Kamal , Asti Amalia N.F. , Lubis Muharman
Published: December 2019

The problem of estimating the business value of the information system lies in heart of business process and function, which are the organization architecture that it is a very complex work to be dealt with. Therefore, there are a large number of aspects such as the trend, regulation, etc. that need to be evaluated to get the appropriate results, although in order to reduce investment and operation costs, these aspects cannot be neglected to avoid the result contain high degree of uncertainty. This paper presents results in assessing the business value of IT projects in global service provider industries, with the objective to support and provide more reliable and high quality information on potential futures contracts with relatively low investigation costs. This method contains four architectural frameworks consisting of business, data, applications and technology architecture.
Assessment of Team Based Learning: The Use of Student Centred Learning for Interaction Design Class
Authors: Lubis Muharman , Azizah Anik Hanifatul , Fauzi Rahmat
Published: December 2019

Student-centred learning has been defined as small approach to improve learning objective through variety of process where students not only choose what to learn, but how and why. Moreover, the essence of the learning environment is the responsibility and activities of students, in contrast to the focus on coach control and the scope of academic content in the teaching with the traditional teaching. In this case, the use of Team based learning can take into account the aspects of the time of tasks termination and student activities to learn the subject content in the maximum way to enrich the other concepts outside the learning module. This study investigate the utilization of Team Based Learning in the subject of Interaction Design to improve the understanding from the student towards the curriculum objective and target.
Improved the Performance of the K-Means Cluster Using the Sum of Squared Error (SSE) optimized by using the Elbow Method
Authors: Nainggolan Rena , Perangin-angin Resianta , Simarmata Emma , Tarigan Astuti Feriani
Published: December 2019

K-Means is a simple clustering algorithm that has the ability to throw large amounts of data, partition datasets into several clusters k. The algorithm is quite easy to implement and run, relatively fast and efficient. Another division of K-Means still has several weaknesses, namely in determining the number of clusters, determining the cluster center. The results of the cluster formed from the K-means method is very dependent on the initiation of the initial cluster center value provided. This causes the results of the cluster to be a solution that is locally optimal. This research was conducted to overcome the weaknesses in the K-Means algorithm, namely: improvements to the K-Means algorithm produce better clusters, namely the application of Sum Of Squared Error (SSE) to help K-Means Clustering in determining the optimum number of clusters, From this modification process, it is expected that the cluster center obtained will produce clusters, where the cluster members have a high level of similarity. Improving the performance of the K-Means cluster will be applied to determining the number of clusters using the elbow method.
Stability Of Line Follower Robots With Fuzzy Logic and Kalman Filter Methods
Authors: Sanjaya Ali , Mawengkang Herman , Efendi Syahril , Zarlis Muhammad
Published: December 2019

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

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

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

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

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

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

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

A 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

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

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

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

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

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

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

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

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

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

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

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

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

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.
The Development of Radical Innovation with the Digital Gift
Authors: Lubis Muharman , Fauzi Rahmat , Zamzami Ikhlas Fuad
Published: December 2019

This study proposes portal website to provide digital gift as the attempt to develop radical innovation by offering interactive and dynamic interaction between customer and community. The application is expected to contain a high degree of new knowledge, although it begin with the foundation of determining the physical gift to be deliver at certain time and location to specific person. The process can be executed after the membership have been done, thus it allow the integration phase as the replacement of product or even the money with the specific form of digital gift. Thus, this study present the first phase of the development by presenting the portal website as the digital platform for digital gift.
Design of Early Warning System Flood and Landslide Mitigation Sensor Based on Internet of Thing
Authors: Gunawan G , Rahman A , Seputro B Purwo , Elsera M
Published: December 2019

Disaster mitigation is very important in order to reduce the number of victims of both life and material. Alertness in disaster mitigation is urgently needed in every area in all countries of the world, especially in Indonesia. Embedded device technology specifically designed and programmed to detect disasters such as earthquakes, tsunamis, floods and landslides, storms and hurricanes. The sensors are used according to the type of disaster will be detected. The system will be built this serves as an early warning system that will provide early warning against floods and landslides were predicted would happen. The system can detect floods and landslides in accordance with a sensor mounted on a disaster-prone locations. Device technology development mitigation sensors embedded as floods and landslides integrate hardware and software and Internet networks. Hardware in the form of microchip controllers and software applications of information and communication technology based internet of things. Microcontroller programmed so that it can control the data with computational algorithms can predict natural disasters will occur. With the development of technology these devices could be detected early disaster. For Embedded system could be produced more cheaply with a local content of 60%. This support government programs in the field of technological independence. Microcontroller programmed so that it can control the data with computational algorithms can predict natural disasters will occur. With the development of technology these devices could be detected early disaster. For Embedded system could be produced more cheaply with a local content of 60%. This support government programs in the field of technological independence. Microcontroller programmed so that it can control the data with computational algorithms can predict natural disasters will occur. With the development of technology these devices could be detected early disaster. For Embedded system could be produced more cheaply with a local content of 60%. This support government programs in the field of technological independence.
Machine Learning Approach for Electrical Load Forecasting Using Support Vector Regression
Authors: Sadli Muhammad , Fajriana  , Fuadi Wahyu , Ermatita  , Pahendra Iwan
Published: December 2019

The management of power system in Lhokseumawe, Indonesia is complex task for transmission operator and is heavily reliant on knowledge of future energy demand. The available data allows for the maturation of the electricity market and encourages analysis of data to improve the generation, usage and management of electrical power. Our research specially will be based upon the Lhoksuemawe, Aceh data set which gives the total load on electric grid measured in intervals for past several years. In particular, our methods will use machine learning approaches by using support vector machine regression to forecast the average total load on Lhokseumawe, Aceh grid one day head of time. The results will be practically beneficial as utilities can use the predicted values to generate an adequate amount of energy to avoid grid outages and electrical losses as well as construct dynamic pricing schemes based upon future load.
Improvement of Inventory System Using First In First Out (FIFO) Method
Authors: Sembiring Anita C , Tampubolon J , Sitanggang D , Turnip Mardi , Subash
Published: December 2019

Inventory recording must be done by the company to find out the available stock, so that the company can know when to order goods from the supplier. With the existence of a good inventory system planning, it will be easier for the company to carry out the planned and controlled in and out of the goods process. A distributor of chemicals in recording and inventorying raw materials is still very simple resulting in many products being expired. The purpose of this research is to help companies systematically, precisely and accurately in inventory data collection to reduce expired products. By designing a raw material inventory information system using Visual Studio 2010 programming language and SQL Server 2008 R2 database, then the report form is generated using the Crystal Report 2010 version version. 13.02. With the new information system is expected to be able to provide inventory reports quickly and accurately, and can notify when there are raw materials that will be expired. With the existence of a database based on SQL server, each user will be more effective at work.
Certainty Factor for Early Detection of Children’s Respiratory Disease
Authors: Hasdiana  , Syahputra Edy Rahman , Dewi Arie Rafika , Sinaga Tantri Hidayati , Dalimunthe Yulia Agustina
Published: December 2019

The immune system of children are weaker than adults. They are susceptible to diseases. One of the diseases that often affects them is respiratory disease. Expert systems can be used to determine early diagnosis of it. Certainty Factor allows the user to measure the certainty’s degree of the diagnosis. It is also affecting the level of trust. It is easy for users to make decisions in determining the healing step. Symptoms of the disease are analysed and managed into the knowledge base of the expert system. The result of disease diagnosis is appeared in the form of disease data. The result data are accompanied by certainty value or percentage of confidence that obtained by certainty factor method applied.
Developing The Pointer Backward-Forward Algorithm In Token Of Test In Text To Know The Level Of Individual Depression
Authors: Fahmi Hasanul , Zarlis Muhammad , Situmorang Zakarias , Nababan Adli A , Dalimunthe Yulia A , Annisah Yessi F , Khairani Mufida
Published: December 2019

The way you move and sleep, interact with people around you, depression change everything. This even looks at the way you talk and express yourself in writing. Sometimes this “depression language” can have a strong effect to others. Natural Language Processing (NLP) is one of the fields of computer science, artificial intelligence, and language (linguistics) related to the interaction between computers and natural human languages, such as Indonesian or English. The main objective of the NLP study is to make a machine that is able to know and understand the meaning of language, lexical analysis has the role of reading input characters and generating output tokens and making spaces, tabs, newlines and connecting rows of programs. However, the problems will occur when lexical analyzers where lexical is not able to determine when there are misspellings on tokens. Therefore, with the development of the backward-forward pointer algorithm, it is expected that in the future it will be easier to analyze both the words in front, in the middle and behind, so that the machine can quickly determine the individual depression level of speech tokens and speech tones.
Analysis Of The Corticium Salmonicolor Mushroom That Grows On Rubber, Citrus And Coffee Plants Uses Fuzzy Methods
Authors: Fatmi Yulia , Prayudani Santi , Lubis Arif Ridho , Lase Yuyun Yusnida , Julham
Published: December 2019

Indonesia is an agrarian country and makes agriculture as one of the economic sectors, rubber, oranges and coffee farming plants are many cultivated commodities. One of the problems in the agricultural sector today is the prevention of pests and diseases. Cortikium salmonicolor fungus is one of the many diseases that harm farmers, corticum mushroom salmonicolor is a disease that causes the death of twigs, stems and roots of plants. By applying fuzzy methods, the design rules are made that can detect corticium salmonicolor fungi in plants, rubber, oranges and coffee, which have three inputs and one output. Each object was analyzed with the same treatment so that three indicators were found in determining the detection of the corticium salmonicolor fungus. Fuzzy logic is defined as a multilevel logic that provides intermediaries the value to be determined between conventional evaluations such as right or wrong, yes or no, high or low, and so on. As a result, this rule is used to detect salmonium corticium fungi. This research can be developed by creating expert systems and screening tools.
Data Search Using Hash Join Query and Nested Join Query
Authors: Sinuraya Junus , Rezky Syarifah Fadillah , Tarigan Makmur
Published: December 2019

In accessing or searching data by using Query or Join on applications that are connected to a database, the usefulness of the implementation of the data and the process time is important to note. There are many ways that a system management database can do in processing and generating answers to a query. All methods will eventually produce the same answer (output) but they would still have different values, such as the time to respond to data. Some queries that are often used for processing data are Hash Join and Nested Join, both queries have different algorithms but produce the same output. A client-based or network-based application was employed to test both algorithms or queries with running time parameters or the time to respond to data. The test was conducted by connecting the number of tables and the number of rows/records. The result of the study is that the query hash join’s speed in response to small amounts of data is better than the large data in the nested join.
Design of The Web-Based Tracer Study Application of STMIK PalComTech
Authors: Tri Octafian D
Published: December 2019

A tracer study application is designed to record about alumnus situations in terms of job search, work situation, and utilization of competency acquisition while studying especially. Alumnus tracer studies are the main studies that have been carried out systematically, institutionally, and continuously. In this research using Prototyping method for designing the tracer study application, and the Ristekdikti standard of the tracer study forms to be filled by alumni. In this research produces a tracer study application based on the web for the PalComTech college that can be accessed in the URL: www.karirpalcomtech.com. Using the tracer study application, PalComTech can know its alumnus conditions. Which this information is used for making policies in increasing its education quality and producing qualified alumni.
Website Services Quality Analysis of PT. Semen Baturaja (Persero) Tbk Toward User Satisfaction by Using Webqual 4.0 Method
Authors: Adelin  , Silviana Mega
Published: December 2019

Website of PT. Semen Baturaja (Persero) Tbk is a website that serves as a medium for disseminating information about baturaja cement products. The number of website users of PT. Semen Baturaja (Persero) Tbk currently has reached 54,360 visitors, consisting of employees of PT. Semen Baturaja, the general public and distributors in collaboration with PT Semen Baturaja. Therefore it is necessary to measure the level of user satisfaction on the website of PT. Semen Baturaja (Persero) Tbk. The purpose of this study is to determine the level of user satisfaction toward website services using the webqual 4.0 method. Webqual is one method of measuring website quality based on the perception of end users. The variables of webqual are usability, information quality, service interaction quality and user satisfaction. The results showed that Usability, Information Quality and Service Interaction had an effect on User Satisfaction both simultaneously and partially. So that it can be concluded that usability, information quality, and service interaction quality affect user satisfaction website PT. Semen Baturaja.
A Dynamic Intersection Traffic Control System Simulation Model
Authors: Lubis Zulkifli , Talib Abdullah Zawawi
Published: December 2019

Traffic control at road intersections is an old and ever growing problem in cities all over the world. In many cities, intersections represent bottlenecks in the traffic flow. Evaluating and managing intersections are complex, difficult, costly, and time consuming. The existing methods for traffic management, surveillance and control, are not adequately efficient in terms of performance, cost, maintenance, and support. In this paper, a framework of an approach for the Dynamic Intersection Traffic Control (DITC) system simulation is proposed, and an intersection design that would benefit from the proposed DITCis also presented. The proposed strategy reduces conflicts through geometric design and aspecific traffic control system. The proposed DITC system has no waiting time, no stages to follow, and has a specific configuration.
Design Analysis of OSPF (Open Shortest Path First) Routing by Calculating Packet Loss Of Network WAN (Wide Area Network)
Authors: Diansyah T.M , Handoko Divi , Faisal Ilham , Yunianti Annisa , Chiuloto Kalvin , Liza Risko
Published: December 2019

In companies both large and small, they must always communicate and exchange data to other divisions at a considerable distance. In carrying out the process of data exchange, it is not uncommon for the data to suffer damage and some do not even reach the destination, the incident is known as packet loss. Therefore, a routing protocol is needed to solve the problem. OSPF routing is the right routing to be implemented. Because, OSPF routing uses Dijkstra’s algorithm to find the closest distance, OSPF determines the best path based on the lowest cost and OSPF also divides its network into several levels, so the information dissemination on each router becomes that has been done, messages time from PC to PC get a range of values of 0.25%. Based on the analysis table of packet loss, the packet is categorized very well, because the packet sent is not much lost.
Enhancement Quality Transformer Based On Management Distribution Unbalanced Load
Authors: Hairul Amren S , Margolang Julfansyah , Rosani Novi Juli
Published: December 2019

A electrical motor unbalance a sure thing for power distribution. Especially on the low voltage network side, a higher the load imbalance will be the higher the current arising in the neutral carrier. The current flowing in the neutral conductor will be the loss of electrical power on the network. Therefore, in the distribution of electric power load imbalance must be minimized in order to achieve optimal channeling efficiency. At this research was conducted at the work area of PLN (Persero) district Sibolga, by taking sample 3 substation distribution. Data retrieval is done at two times ie at peak load time and beyond peak load time. From the calculation data obtained shows the magnitude of power losses due to unbalance of the load on the three substations ranging from 0.05% ∼ 4.38%.
Calcium Carbonate (CaCO3) Scale Formation in A Piping System With Laminar Flow With Varied Temperatures and Malic Acid (C4h6o5) As Additives
Authors: Usamah Muhammad , Rizal Muhammad
Published: December 2019

Scale formation is a frequent problem encountered in industrial piping system. The occurrence of the scale is due to a chemical reaction between the dissolved ions in water. Calcium carbonate (CaCO3) is one of the scale that is often found. Scaling will thicken the pipe walls and can affect the rate off low or heat transfer. Hence preventing to the growth of scales is necesary in pipe. In this study some experiments were conducted on the growth of the scale of calcium carbonate in a test pipes, by reacting solution of CaCl2 and Na2CO each with a Ca2+ concentration of 3500 ppm with a flow rate of 30ml/min and temperatures used were 25°, 30° and 40°C. Malicbacid(C4H6O5) was added to the solutionas additive with concentrations of 0, 3, and 5 ppm. Calcium carbonate crystals could be seen from the results omorphological studies conducted using Scanning Electron Microscopy (SEM). The SEM results indicate that at 25°C and without additives, the scale comprises of calcite and vaterite, whereas with the additive of 5 ppm malic acid, the scale is vaterite with the larger crystal size and there is also calcite, but phase of the vaterite is dominant. At 40°C and without additive the crystal of a aragonite resembles a pile of needles.