bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Using of Thresholding and Region Merging Algorithm for Correcting the Multiple Choice Answer Sheets
Authors: Fahmi Hasanul , Zarlis Muhammad , Mawengkang Herman , Zendrato Niskarto , Sulindawaty  
Published: September 2019

Abstract
Increasing technology in digital encourages the human to create computer aplication to process two-dimensional data (Citra). Image retrieval that is the form of test files uses CCD cameras with a fairly expensive price, such as CCTV cameras. In this research, the author uses the methods thresholding and region merging to correct the answer sheet with a tool Webcam that the form of Image and it is procesed for correction the answer multiple choice. in this study, the author focuses on the application of the thresholding method in which the purpose is to classify the gray degree value into two, namely black and white. the application of the region merging method is the process of combining regions less than the threshold. The use of webcam, thresholding methods and merging region is expected to facilitate all circles of agencies, especially in the education field in the correction sheet answer. It can increase the output of quality teachers.
Optimization Model for a Location-Allocation-Routing in a Periodic Distribution Network
Authors: Panjaitan Dedy Juliandri , Suwilo Saib , Opim S. Sitompul , Sawaluddin  
Published: September 2019

Abstract
The main concern of this paper is to decide the locations and allocations of facilities that impact not only the profitability of an organization but the fast ability to serve customers. Generally the location-routing problem is to minimize the overall cost by simultaneously selecting a subset of candidate facilities and constructing a set of delivery routes that satisfy some restrictions. In this paper we consider the periodic routing of vehicle to be used to distribute goods. Integer programming model is built to solve the problem. A feasible neighbourhood search is developed to solve the result model.
Requirement Analysis of PACS and RIS Hospital Management Information System on Radiology Installation Based on Kano Method
Authors: Budianto Widi , Napitupulu Darmawan , Adiyarta Krisna , Windarto Agus Perdana 
Published: September 2019

Abstract
Hospital management information systems are very helpful in carrying out services to customers. In this study, problems were found regarding the process of presenting the results of radiological image data that have not been facilitated throughout the patient’s examination room. The slow results of radiological image data, especially for immediate results (CITO) in emergency department services have not been facilitated due to having to wait for the results printed. The results of reading radiological images (expertise) are waiting to be printed first. To solve this problem, a research was conducted focusing on the development of the Radiology Information System (RIS) information system model and Picture Archiving and Communication System (PACS). The development of this system is analysed using the KANO method to classify the expected system menu needs attributes. The test results get the percentage of better value higher than the worse that is 9.81 which means that it can be known attributes that greatly influence the increase in customer satisfaction if these attributes are not fulfilled, the disappointment level is very high, but the implementation stage is not optimal so that future research can present results better research.
Decision Support System of New Student Admission Using Analytical Hierarchy Process and Simple Additive Weighting Methods
Authors: Wijayanto Santosa , Napitupulu Darmawan , Adiyarta Krisna , Windarto Agus Perdana 
Published: September 2019

Abstract
Selection of qualified prospective students is very important for schools to be able to achieve successful learning in school. Problems will arise if the school is wrong in choosing students who are not in accordance with their abilities. The admission selection process for prospective students in Bintaro Informatics Development Vocational School still uses manual method in calculating grades. Determination of the weight of each criterion is also not used optimally, giving rise to difficulties in selecting prospective students based on their talents and abilities. Schools need a decision support system that can help in making decisions to select new students according to their talents and abilities. The system designed using the Simple Additive Weighting (SAW) method is used for ranking, and to determine the weighting using the Analitycal Hierarchy Process (AHP) method. The results of the calculation of the two methods can select prospective students who are accepted in school more precisely and accurately in accordance with the abilities and expertise of students.
Digital Dictionary Using Binary Search Algorithm
Authors: Fitrian Riski Muhamad , Taufik Insan , Ramadhan Muhammad Sabir , Mulyani Neni , Hutahaean Jeperson , Sitio Arjon Samuel , Sihotang Hengki Tamando 
Published: September 2019

Abstract
Digital Dictionary of Computer and Network Engineering can be used in the learning process of computer and nerwork enginering students. Dictionaries are generally book-shaped is hard to carry because of their thick and heavy, now can be accessed anywhere by development of web technology. Digital dictionaries can be accessed through computers, laptops dan cellphones, this is make student easily in learning process. The digital dictionary can not only be used by students of computer and network engineering, but can also by general public, as long as you have an internet connection, anyone can be use this digital dictionaries. The main process in this digital dictionary is the search process. Binary search algorithm used in the search process of binary search algoritm. Binary search algoritm search is applied to word search in this digital dictionary, because this algoritm is intended for sequintal data. Program language that will be used to build this digital dictionary is PHP and MySQL.
Implementation of Certainty Factor Method for Diagnoses of Photocopy Machine Damage
Authors: Pakpahan Aditiya , Sagala Jijon Raphita , Yesputra Rolly , Lubis Adyanata , Saputra Herman , Husain  , Sihotang Hengki Tamando 
Published: September 2019

Abstract
Photocopying machines are machines that make paper copies of documents and other visual images quickly and cheaply. PT. TRITANU has a copy machine product, such as the Fotocpy Sharp machine Type B201D. The rapid development of photocopying technology at this time can be seen that adult photocopying machines are now not only operating copier but can scan, print, and even fax. The rapid development of photocopying technology does not necessarily provide complete convenience to users. This can be seen from the high cost of consultation in the event of damage to the photocopy machine, requiring time to check the damaged machine, and not to mention other procedures in the repair that exist at PT. TRANANU. So from to provide solutions to these problems, the researchers made an Expert System for Handling Print Results Problems on Sharp Photocopying Machines Type B201D Using the Certainty Factor Method. System testing shows that the system is able to diagnose damage to the B201D copy machine based on the symptoms in the printout, even though these symptoms contain uncertainty. The results of the diagnosis are accompanied by Certainty Factor values that indicate the level of truth, accuracy of possible damage to the B201D copy machine.
A Multi-Objective Programming Model for Forest Management Planning Problem to Sustain Water Allocation
Authors: Sinaga Juli Antasari , Mawengkang Herman 
Published: September 2019

Abstract
Forest management planning is placed not only on managing timber production but also on maintaining forest ecosystem values, such as water preservation. Thus, the meaning of sustainable forest management has broadened from sustainable timber management to ecosystem-based multipurpose forest management. This paper discusses the need to preserve water by forest in such a way the water will flow to rivers to be used as a resource to generate hydroelectric power plant. The problem is then modeled as a multi-objective integer programs.
The Framework of Stochastic Programming Model with Scenario Generation Approach for Sustainable Knowledge Management under Uncertainty Disruption
Authors: Sembiring Sajadin , Mawengkang Herman , Tulus  , Zarlis M. 
Published: September 2019

Abstract
Recently, knowledge, as a strategic resource, has become an essential driving forces for business success, in particular in competitive situation. Accordingly, the existence of knowledge management (KM) is to support the business firm to locate, select, organize, distribute, and transfer vital information within the firm. One of the method to increasing effectiveness of knowledge management is to optimize its processes. However, during the process in order to increase the firm performance some disruption may occur. This paper describes a stochastic programming model to optimize the knowledge management processes problem within a firm, considering uncertainty disruption. We adopt scenario generation approach for tackling the stochastic problem.
Implementation of Certainty Factor Method for Expert System
Authors: Sembiring Ade Setiawan , Sulindawaty  , Manahan Olven , Napitupulu Merlin Helentina , Hasugian Penda Sudarto , Riandari Fristi , Mahdalena Simanjorang R. , Simangunsong Agustina , Utami Yulia , Sihotang Hengki Tamando 
Published: September 2019

Abstract
PC computer is a flexible electronic device and can receive and process data quickly and accurately, and can also store data for a long time. There is a time when the PC hardware is damaged. So that it annoys the user. In connection with the problems that occur, the researchers aim to build an Expert System application to diagnose damage to PC computers using the Certainty Factor method by using Visual Studio 2010 applications and using Microsoft Access 2013 as a database. Applications that are built can be an alternative in knowing the type of damage and provide alternative solutions in handling damage to PC computer hardware.
Analysis of Artificial Neural Network in Predicting the Fuel Consumption by Type of Power Plant
Authors: Saputra Widodo , Poningsih P , Lubis Muhammad Ridwan , Andani Sundari Retno , Damanik Irfan Sudahri , Wanto Anjar 
Published: September 2019

Abstract
The electric is one of the needs for human, the growth of the electric power in Indonesia is very increased. There are 13 types of power plants in Indonesia, including to require the fuel in its operational. Fuel consumption needs to be recorded at regular intervals so that the needs of fuel for the power plant remain fulfilled. This research discusses about the predictions fuel consumption based on the type of power plants. The method used is the Artificial Neural Network with the back propagation algorithm. This method is good enough to use in predicting the data. The data used is fuel consumption data based on the type of power plant of the year 2014-2016. The best architecture is 8-23-1 that gets results accuracy of 88%, epoch 6016 iteration and MSE 0.0005509801. From these results then predict using the 8-23-1 architecture is the best architecture.
Framework of Vocational Education Quality Based on Dynamic System
Authors: Roslina R , Zarlis Muhammad , Mawengkang Herman , Sembiring RW , Amelia Afritha 
Published: September 2019

Abstract
The problem of meeting the needs of business and industry towards vocational higher education graduates is a discrepancy between the desired skills and the availability of labor. To meet the needs of competent Human Resources (HR) in business and industry, the implementation of Vocational Education (VE) must be quality or smart. This study formulates the factors that influence the implementation of quality VE, the entities contained in the VE system, building framework of VE system base on dynamic system.
Combination of Caesar Cipher Algorithm and Rivest Shamir Adleman Algorithm for Securing Document Files and Text Messages
Authors: Gunawan Indra , Sumarno  , Tambunan Heru Satria , Irawan Eka , Qurniawan Hendry , Hartama Dedy 
Published: September 2019

Abstract
At this time, the advancement technology of computer science and telecommunications are developed highly and progressing rapidly. Data security is very important to maintain the important data content of the parties that can harm by destroying important data from the data owner. By improving data security, using a combination of algorithms, it can keep data security more secure than attacks that can harm the content of stored data, especially data in the form of document files and text messaging. The combination of algorithms used for data security used is caesare cipher algorithm and RSA algorithm. So by using a combination of caesar cipher algotitm and RSA algorithm, the security level of document files and text messages can be more awake the authenticity of the data.
Application of the MOORA Method for Decision Making in Receiver Foundation Scholarship in AMIK Tunas Bangsa
Authors: Andani Sundari Retno , Poningsih  , Saputra Widodo , Lubis Muhammad Ridwan , Damanik Irfan Sudahri , Arifin Nur Khairun Nisa , Sinaga Rahmadani Fitri 
Published: September 2019

Abstract
Foundation scholarship is scholarship whose fund comes from AMIK Tunas Bangsa Foundation and given for student achievement and poor, which aims to prevent collage drop outs for students. Foundation scholarship are given to students achievement and poor, but they dont get scholarship from any source. The criteria used in determining the foundation scholarship recipients are GPA, parents income and the number of dependents. The method applied in determining the foundation scholarship recipients is the MOORA (multi objective optimization on the basis of ratio analysis) method. The MOORA method will produce the exact ranked in determining the foundation scholarship recipients, simple calculation so it is easier to understand and use.
Data Driven Optimization Approach to Fish Resources Supply Chain Planning in Aceh Province
Authors: Nurdin  , Zarlis M. , Tulus  , Efendi Syahril 
Published: September 2019

Abstract
Aceh is one of the provinces in Indonesia that is rich in the potential of marine and fisheries resources. Many fish resources become superior commodities, therefore good planning and management needs to be done. Fish resource data that will be used in this research is large-scale data from the district and city in Aceh province, then a data driven optimization approach is needed. Optimization has become one of the high technology in planning and management in the supply chain. Supply chain networks as logistics and production process from network that is connected between organizational units that operate from suppliers to the community. The supply chain of fish resources is very complex because it is caused by number of factors, such as the diversity of products from fish resources and short expiration periods. In this paper proposes that the supply chain network built consists of suppliers, distribution centers and consumers. The location of suppliers, distribution centers and consumers comes from 10 regions in the province of Aceh, for fish resource suppliers taken from Coastal Fishing Ports (CFP) and Fish Landing Base (FLB).
Optimization Model in Logisticts Planning and Supply Chain
Authors: Silaen Nova Eliza , Sawaluddin  , Tulus  
Published: September 2019

Abstract
The progress and success of the company can be seen from the consumer’s response to production from all aspects of each company’s activities and is a key success factor. In this case describes the problem of supply chain optimization from the perspective of providing logistics including a mathematical model of cost optimization for supply chains in the form of MILP (Mixed Integer Linear). Production, transportation and distribution costs are chosen as optimization criteria. Time, volume, capacity and mode of transportation are also taken into account. The model was developed based on supply chain management theory to achieve the lowest cost, responsive and to achieve common goals. The results state that product inventories, loading patterns, modes of transportation, and minimum order quantities significantly affect the total logistics costs. Shorter production processing time, and produce optimal solutions. However, the right limits must be carefully defined to get a viable solution.
Sensitivity Analysis in Data Envelopment Analysis for Interval Data
Authors: Nasution N H , Efendi S , Tulus  
Published: September 2019

Abstract
Data Envelopment Analysis (DEA) analysis model can evaluate the relative efficiency of a set of DMU decision-making units with the right values but cannot handle data that is not correct, for example data in the form of intervals. In this paper, the DEA model is able to calculate the data efficiency of interval values. Data Envelopment Analysis interval or DEA interval is an approach that can make input and output data from Data Envelopment Analysis which is used to measure the relative efficiency of Decision Making Unit (DMU) in multi input and multi output processes which will be examined in this study. This model is based on arithmetic operations with interval numbers not the same as the DEA model in general that uses single data. Measurement of the relative efficiency of DMUs with inputs and outputs that have interval data using a constant interval of interval, depending on the application, can also be estimated using statistical techniques or experience. Because in the world most data is interval data, we present a model to calculate the lower and upper limits for each DMU and prove that this model provides higher and lower efficiency limits. In this paper the number of DMUs is increased where if one DMU is added then all highly efficient units will remain.
On Solving a class of stochastic multiobjective integer linear programming problems with Interactive Based Approach
Authors: Suparni  , Mawengkang Herman , Sitompul Opim Salim , Suwilo Saib 
Published: September 2019

Abstract
Decision problems of stochastic or probabilistic optimization arise when certain coefficient of an optimization model are not fixed or known but are instead, to some extent, stochastic(or random or probabilistic) quantities. This paper focused on multiobjective stochastic optimization. We propose a method for solving a multiobjective chance constraints integer programming problem based on interactive approach. We assume that there is randomness in the right-hand sides of the constraints only and that the random variables are normally distributed. Some examples are presented.
Mixed Integer Program for Tackling Process Control Demand in The Capacitated Open Vehicle Routing Problems
Authors: Ramadhani Evi , Mawengkang Herman , Sutarman  , Ramli Marwan 
Published: September 2019

Abstract
Open vehicle routing problems, as a variant of vehicle routing problem (VRP), define that the vehicles are not required to return to the depot after completing service. In this paper, we extend the problem to include process control due to the uncertainty of customer demands. Each customer has a demand and each customer must be serviced by a single vehicle and no vehicle may serve a set of customers whose total demand exceeds its capacity. Each vehicle route must start at the depot and end at the last customer it serves. The objective is to define the set of vehicle routes that minimizes the total costs. We solve the stochastic model using a strategy of releasing nonbasic variables from their bounds, combined with the “active constraint” method. This strategy is used to force the appropriate non-integer basic variables to move to their neighborhood integer points.
A Generalized Reduced Gradient Approach for Solving a Class of Two-Stage Stochastic Nonlinear Programs
Authors: Syarah Fatmah , Mawengkang Herman , Kamil Anton Abdulbasah , Sutarman  
Published: September 2019

Abstract
Two-stage stochastic programming problems arise in many practical sit-uations, such as production and manpower planning, portfolio selections and so on. In general, the deterministic equivalences of these problems can be very large, and may not be solvable directly by general-purpose optimization approaches. Reduced gradient method (RGM) is a well known technique for nonlinear programming problems. After using scenario analysis technique, a direct search approach based on RGM for solving a class of two-stage stochastic nonlinear programs is proposed, which generates the search direction by solving parallelly a set of quadratic programming subproblems with size much less than the original problem at each iteration. By selecting the step-size to reduce an exact penalty function sufficiently, the algorithm terminates at an approximate optimal solution to the problem with any desirable accuracy.
Evaluation of items on instruments of consumer attitudes, word of mouth, and decisions of private universities
Authors: Purwantoro P , Afrizal Andi 
Published: September 2019

Abstract
Early research is motivated by demands and developments in the world of education that are so competitive that universities must be able to carry out professional education so that it suits the needs of the labor market. Factors of human resources (HR) that have high competition are necessary for the era of global market competition and national development as a whole. These conditions increasingly encourage the world of education, including universities, to immediately prepare human resources which have high competence, can innovate and be creative. The rapid increase of higher education institutions has increasingly made the conditions of competition in seizing every market share increasingly tight. However, some research results still found some disadvantages including still using the same instrument but the results are different, there is no valid measuring instrument (instrument) to measure students’ decision to choose to study in private universities that are influenced by consumer attitudes and word of mouth. The study was conducted in Rokan Hulu Regency by using several respondents in private universities in Rokan Hulu regency including Pasir Pengaraian University, Rokania STKIP, ISQ, STAI Tuanku Tambusai, and Open University. The purpose of this study is to obtain a valid instrument in measuring student decisions in choosing to study at private universities so that these instruments are expected to be valid benchmarks that can be used as a measure of consumer decisions. The population in the study were all students enrolled as active students in private universities in Rokan Hulu district. The research sample was taken using a random sampling technique and used the sample criteria. The research data was processed using the Rash Model with the help of the Rasch Ministep (Winsteps) program.
The Implementation of Fuzzy Multiple Attribute Decision Making by Using Weighted Product Algorithm in Evaluating Employees’ Performance
Authors: Sari Herlina Latipa , Kalsum Toibah Umi , Mahdalena Desi 
Published: September 2019

Abstract
Fuzzy Logic used as an act to describe problem from input into expected output. One part of Fuzzy logic is Fuzzy multiple attribute decision making in deciding weighted alternative Score and importance criteria rating meanwhile Weighted product method is to evaluate so in deciding employee performance by multiplying to correlate with attribute rating, rating for each attribute must be powered by number with related weighted attribute and that process is same with normalization process. The result of implementation of Multiple Attribute Decision Making (FMADM) by using Weighted Product (WP) Algorithm in valuating employee performance which conducted once a year which obtained from performance valuation of system valuation at CV. Mulya Karya Baru. By conducting sample from data which obtained from data. This research can create and develop an application which can help user to rank the employee performance.