bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improved Genetic Algorithm for Flow Shop Scheduling Problem at PT. XYZ
Authors: Widyawati  , Waliadi G 
Published: April 2020

Abstract
Scheduling according to Takeshi Yamada was an allocation of limited resources in order to do compete activity which usually applied on the operational research field where one of the examples was machine scheduling. Machine scheduling is an activity consisting of job (represent the activity) and machines (represent the resource) where each machine can process only one activity at a time. the purpose of scheduling is to perform all of the process from beginning to end with the objective to minimize makespan time. PT. XYZ is a manufacturing company that produces component for steam turbine component products in power plants. Within a year the company obtained an average of 9-10 project orders for each type of product. Because of the large number of projects that must be done, the scheduling process is becoming one of critical process in order to achieve the fastest makespan time. One way to find the fastest makespan time is by rescheduling using the methods applied in flow shop scheduling. One algorithm that can be used is the genetic algorithm. Based on the results of the research, it was found that for the process of scheduling project “A” with six machines and five jobs is makepan time of 53 days.
Text Mining and Support Vector Machine for Sentiment Analysis of Tourist Reviews in Bangkalan Regency
Authors: Imamah  , Husni  , Malasari Rachman Eka , Oktavia Suzanti Ika , Ayu Mufarroha Fifin 
Published: April 2020

Abstract
Tripadvisor is a travel site that offers reviews of hotels, flights, restaurants and tourist attractions. Reviews from tourists are indispensable for developing tourism, but the number of comments will complicate the owner to analyze the important aspects of the review so that the reviews should be beneficial to develop spot, overlooked or unreadable. This research aims to facilitate the owner of tourist places in the Bangkalan regency to classify negative opinion, positive opinion, and to know the target opinion using techniques sentiment analysis. The initial stage of the sentiment process analysis on this research is Web scrapping on the TripAdvisor site, the purpose of this stage to collect user review data. The review Data obtained will then be classified using the Support Vector Machine (SVM) method. Further review data classification results will be processed using the Text Mining method, to find the target opinion that is considered important in the review. Based on the research that has been done, obtained the accuracy of the classification process with SVM method of 70.22% for Indonesian-language reviews.

A post-publication change was made to this article on 20 Apr 2020 as the previously published article was a duplicate.
Mobile Expert System to Diagnose Diseases and Pests in Tobacco Using Analytical Hierarchy Process (AHP)
Authors: Syarief Mohammad , Imamah  
Published: April 2020

Abstract
Tobacco, also known as the money tree by the Madurese people, is a second crop after the most cultivated corn. In the process of cultivating tobacco crops, diseases and pests become a threat to the farmers to realize the desire to make a lot of money. Generally, farmers often struggle to distinguish between pests and diseases. This failure will have a significant impact on the treatment, the disease that should be washed with the drug, but because the wrong diagnosis can be solved using insecticide (pest). This research aims to facilitate farmers to obtain information, appropriately diagnose and solutions in overcoming diseases and pests in tobacco. The experts who contributed to this study are agricultural experts in the district office of Sumenep. The method used is Analytical Hierarchy Process (AHP). This method is selected because it can perform consistency tests on data, so it is expected to improve the accuracy of the diagnosis. Based on research that has been done, using 21 data symptoms of diseases and pests, as well as nine types of diseases in tobacco, obtained the accuracy value of the mobile expert system by 65%. This accuracy is achieved by comparing the diagnose results by agricultural experts with the diagnose results using the mobile expert system.
Implementation of Aircraft Productivity System to Improve Company Performance
Authors: Abas Sunarya Po. , Sudaryono  , Utami Wiranti Sri 
Published: April 2020

Abstract
Aircraft Productivity System (APS) is a system that is proposed to be applied to airline companies in improving company performance. The application of this system focuses on the discussion of aircraft flight data such as arrival data and flight departure data used in data processing. The purpose of this study is to build the implementation of the Aircraft Productivity System (APS) in airlines so that management can monitor the results of company performance. The method used in this study is the waterfall method which is used as a method for processing the stages of working on the system from the design stage to the final stages of system implementation. This study also uses the method of acceptance of the use of the system with the Technology Acceptance Model (TAM) used in testing the acceptance of the system of 4 respondents through several variables, namely the variable Perceived Usefulness, Perceived Ease of Use and Actual Use of the three variables will get a result that Aircraft The Productivity System is accepted with the criteria of being very agreed by the user to use the system. The results of this study are in the form of a dashboard display that displays a flight departure dashboard that contains information about the number of flight departures and a flight arrival dashboard that contains information about the number of aircraft arrivals, so that management can continue to monitor the results of the company’s performance quickly.
An Android Interactive Game to Improve Children’s Intellengence By Utylizing Brain Capabilyties And functions
Authors: Ali Syakur Muhammad 
Published: April 2020

Abstract
Mobile technology is developing so rapidly the types of games used in mobile devices. Ranging from brain-themed games, sports, to adventure. Android-based games can provide entertainment for players. Brain intelligence in children and even adults can be improved by playing interactive games so that the right brain can work better and function optimally. Library Studies, Game Design, Game Evaluation, Documentation Methods are ways to create Android-based game applications. Android programming language, Unity 3D tool and Blender will produce an Android-Based Interactive game which is useful for adding insight in game making. This game is played easily and interactively so that it can be played by children, teenagers and even adults. This game is played as a single player. This game can be played offline for Android 4.0-based smartphones with an attractive appearance using 3D (Three-Dimensional) graphic display.

A post-publication change was made to this article on 20 Apr 2020 as the previously published article was a duplicate.
Analysis of Determination of Strategy Promotion using Apriori Algorithm
Authors: Rachmatika Rinna , Harefa Kecitaan 
Published: April 2020

Abstract
Promotion is an activity or marketing idea commonly carried out by business actors to attract the attention of consumers either to introduce an item or to increase consumers so they want to buy the item. Apriori is an algorithm that can perform several itemset required by knowledge to determine the rules in making information related to determining candidates who will emerge as a result based on the support and trust determined by the analyst. The results of the analysis using the Apriori Algorithm in this study are that the 2 itemet rules that have been made can be used as a strategy for the promotion of goods based on sales transaction data. Because what is produced is high, the highest level of trust is 100%, and the lowest is 84%. Goods that have the highest trust value can be used as a promotional strategy.
E-payment for Jakarta Smart Public Transportation, Using the Point System for E-Commerce
Authors: Anwar Nizirwan , Rasjidin Roesfiansjah , Najoan Daniel Stephanus , Rolando Christopher , Tamimmanar  , Warnars Harco Leslie Hendric Spits 
Published: April 2020

Abstract
The ease of using transportation is one of the most critical things in the city with a significant population like Jakarta. The growth of the population in Jakarta is increased rapidly. The wage that Many transportations are causing a traffic jam in Jakarta. The government suggests that people use public transportation for their mobility. However, people choose to use their vehicles rather than public transportation. The main reason is that public transportation cannot guarantee the arriving time, whether it is on time or not. Many people move on to online transportation services. However, the massive growth of online transportation is still a contradiction as public transportation. People in Jakarta need faster mobility to go. This research is trying to make a system for public transport without any delay and hard to use it. This problem can be solved by building a new system. This system required e-wallet for payment in public transportation. This E-Wallet will search the possible route from the nearest location to the destination — only the public transport where there is a station that can use it. By using QR-Code generated by e-wallet on the mobile phone, people can scan it directly to a machine located in the station. This method will make a transaction faster than ever. Moreover, people can enjoy another feature like cashback and redeem the prize by a point system. In this era, e-commerce is dominating the market for purchasing something. This is also the attraction of the system. This system is also required excellent facilities from the government so that people can enjoy it.
The Best Selection of Programmers in Generation 4.0 Using AHP and ELECTRE Elimination Methods
Authors: Akmaludin Akmaludin , Hartati Tri , Purwanto Heru , Sukendar Toni , Latifah Fitri , Septiana Laila 
Published: April 2020

Abstract
The quality of data processing in information systems in the 4.0 industrial era is expected to be in the form of paperless-based digitalization, thus a number of capable and reliable users are needed in terms of data processing in the form of digitalization, the means developed can be through the internet or via smartphone-based on Android. The need for The best programmer is certainly very needed in terms of data development and processing and information delivery. This needs to be done so that the process of sending data and information can be done simply and very high speed, because the transfer of resources has been converted into digital form. The need for programmer staff must be selected consistently so that users who are accepted as the best and reliable programmers according to job requirements, from ten programmers with collaboration AHP method and ELECTRE can provide optimal decisions with the following results, programmer code P5, P6, P7 and P10 get the biggest score with weight of 3, followed by programmer code P9 with weight of 2, and followed by programmer code P1, P2, P8 with weight of 1, and there are two programmer codes which are eliminated by the ELECTRE method, P3 and P4. The collaboration in the method of Analytic Hierarchy Process (AHP) and ELECTRE Elimination which is the crystallization of the Multi-criteria Decision Making (MCDM) can be a decision support in the selection process of the best programmers to produce optimal decisions.
Appilication of K-Means algorithm to predict consumer interest according to the season on place reservation and food online software
Authors: Pasaribu J S 
Published: April 2020

Abstract
The background of what this report discussed is the problem on the food menu due to the unsold food menu causes that make the restaurant loose their money because of the unused food menu. In this case K-Means can be used to cluster consumer interest where the interest will be adjusted with the season. K-Means algorithm will be used in software to find consumer interest from existing sales data, in this case can be said as data mining where the data will be made and sorted by customer’s interest like summer or rainy season. The determination of these problems based on the season due to consumer interest that will be more easily to calculated when we following the season in Indonesia where Indonesia itself is a tropical country which has a diverse diet. With the grouping of data from sales data restaurant can determine the menu of food and beverages in accordance with consumer interest where the menu will be adjusted to the season in Indonesia that is summer and rainy season. And the results of data processing will be implemented on online reservation software and food reservations previously made in previous research entitled Online Food Place and Food Packages In Food Garden Miko Mall. This is intended to facilitate the restaurant to determining in the purchase settings of feed ingredients. If there is a lot of menus sold then raw materials will be reproduced and if there is a food menu that is less enthusiastic or the sale is spelled out less then the raw material will be reduced.
Bagging Technique to Reduce Misclassification in Coronary Heart Disease Prediction Based on Random Forest
Authors: Saifudin A , Nabillah U U , Yulianti  , Desyani T 
Published: April 2020

Abstract
Knowing the existence of coronary heart disease is very important to reduce the risk caused. Coronary heart disease is influenced by many factors, in diagnose requires complex analysis. Many proposed the application of a machine-learning algorithm to diagnose/predict coronary heart disease, but have not given perfect results (excellent). The machine learning algorithm is used to classify someone affected by coronary heart disease or not based on factors that have been determined input. The results of diagnosis/prediction are not perfect due to misclassification that is still large.to reduce misclassification, bagging techniques are proposed. The classification algorithm used in the study is Random Forest. Experimental results show that bagging techniques can reduce misclassified predictions of coronary heart disease.
Learning Innovation Using the Zahir Application in Improving Understanding of Accounting Materials
Authors: Arie Pratama F , Kaslani K , Nurdiawan O , Rahaningsih N , Nurhadiansyah N 
Published: April 2020

Abstract
The purpose of this study in order to innovate in accounting learning activities using zahir accounting application tools. This is done because based on observations of student learning outcomes it can be said that the level of understanding of accounting material is still low. Especially if the student’s background comes from high school from the majors of natural sciences, languages, and not from social science principles. With this learning innovation, it will be easier for lecturers to provide material so that teaching and learning activities are more centered on students who will impact on the absorption and ultimately will increase the understanding of accounting material. The method in this study uses a quasi-experimental time series design type. Population and sample using probability sampling techniques The results of this study will be used as a benchmark to improve student safety and serve as a reference for educators to be able to innovate in developing learning resources.
Implementation of Backpropagation Method for Identified Javanese Scripts
Authors: Prihandi Ifan , Ranggadara Indra , Dwiasnati Saruni , Sari Yunita Sartika , Suhendra  
Published: April 2020

Abstract
Literacy is one important component in a culture, one of which is Javanese culture. Javanese script is used as the main script that is used daily by most people in Central Java. Along with the development of human civilization and the expansion of global life, Javanese script began to be abandoned, even by the Javanese themselves. The use of Javanese characters is reduced because of the difficulty of learning Javanese characters themselves. Java character sets consist of basic characters, numbers, complementary characters, and so on. Javanese script is a traditional Indonesian script known as Hanacaraka or Carakan. Backpropagation is a systematic method of artificial neural networks using supervised learning algorithms and is usually used by perceptron with multiple screen layers to change the weights in the hidden layer. Text recognition application in alphabetical letters with neural networks. In the research we made, the training results of this application are good, because it can recognize letters well, the maximum characters that can be read by the application are 128 characters [Latin characters], based on ASCII code pages, this text recognition application can recognize letters and numbers, namely AZ and 0-9 with a percentage of success of up to 90%, Input characters to teach on the form train can only teach 1 character only.
A Review of Contribution and Challenge in Predictive Machine Learning Model at Financial Industry
Authors: Hermadi Irman , Nurhadryani Yani , Ranggadara Indra , Amin Ruhul 
Published: April 2020

Abstract
Prediction is essential one of them in the financial industry, with the prediction of this industry to be confident in determining the next steps to develop business. In the era of developing technology now, the application of machine learning to help the industry is essential, not only helps to count alone but can also help industry players to be able to predict in cases faced in the industry. In Machine Learning, financial industry players can create a credit risk analysis model based on available alternative data so that they can better manage overall risk. In this study aims to provide information on the contribution and challenges of machine learning in the financial industry and generate information on how the contributions and challenges in the application of machine learning have compiled from other researchers.
Academic Information System Architecture Planning at the Perjuangan University Tasikmalaya Using EAP
Authors: Sumaryana Yusuf , Sudiarjo Aso 
Published: April 2020

Abstract
The existence of Academic Information System is Not very helpful to the organization in carrying out its functions. However, systems that often solve problems, for example inaccurate student achievement index calculations. This causes the information obtained by students to be inappropriate. Because an information determines a useful information system or not. Information can be useful if the quality is good or bad. Quality information is determined by several factors, namely: Accuracy and validity, Improvement of information, Timely, Relevant [1]. Improved data and processes that must be completed require data processing tools so that it can become the expected information. This study makes the architecture of planning academic information systems at the University of Struggle Tasikmalaya with Enterprise Architecture Planning Method. The planning architecture using EAP is the answer to the solution to building a good information system.
Local Wisdom Development Givu Customary Law Values through Audio Visual Learning Media for Social Ecological Sustainability
Authors: Misnah  , Mutawakkil  , Listiqowati Ika , Iskandar  , Bahri  
Published: April 2020

Abstract
Traditional customary law, Givu, in Indonesia, in the efforts to facilitate the sustainability of the environment as well as the preservation of natural resources, imposes fines or penalties on those who violate such laws; and the convictions are usually decided by consensus. This study aims to examine the effects of the integration of local wisdom values of Givu traditional customary law on students’ ecological intelligence by using local wisdom-based audio-visual media to teach social studies. The traditional legal values of Givu among the Kaili ethnic group were examined in the study. This paper adopts ethnographic methodology in conducting qualitative examinations of the subject matter. Relevant data were collected through various stages of observation, in-depth interviews and collaboration from other researchers, cultural observers, traditional leaders, religious figures and members of various communities. More information was gathered from teachers and students in the classroom, during the actual learning process which took place in the community used as the research location. The interviews hinged on the application of the traditional law (Givu) in connection with environmental issues faced by students in their daily lives in the community and in the school environment. The collected data was analyzed using Cresswell analytical techniques, after the preliminary data reduction process was carried out. The results of the analysis were implemented in the teaching of social studies in class VII, in Sigi 1 High School, Sigi District, Central Sulawesi, using a classroom action research model presented by Kemmis and Tagart. The outcome of the implementation indicated a significant improvement in students’ ecological intelligence, which is useful in preserving the forest (Mojagai Panggale).
Application of BAPER Learning Media on Student Learning Outcomes
Authors: Kartini N H 
Published: April 2020

Abstract
The learning process at the Universitas Muhammadiyah Palangkaraya in the Basic Science Course has not been fully maximized in the use of learning media. The purpose of this study was to find out the student learning outcomes in the sub-material sub-field from basic science subjects through the use of BAPER (BAwah PERmukaan/subsurface) learning media in the form of underground maps at the Campus II location of Universitas Muhammadiyah Palangkaraya. The research method used an experimental design pre-post control group design. The study population was third-semester students participating in the Basic Sciences Course at Universitas Muhammadiyah Palangkaraya. The results showed an increase from the pre-test score with an average of 65.71 to a post-test score with 85.29, as well as increase in psychomotor skills with an average pre-test score of 60 being a post-test score of 80. These results indicate an increase in student learning outcomes, both cognitive and psychomotor.
Training on Contextual Based Thematic Learning media development for Elementary School Teachers in Sigi Regency, Central Sulawesi
Authors: Misnah  , Gamar Mahfud M. , Mutawakkil  , Baso Malla Hamlan Andi , Herlina  
Published: April 2020

Abstract
Image culture based on local culture is an innovation in the world of education with the use of contextual learning media based on local culture as a source of learning. The purpose of this study was to improve skills teachers in designing image media as a source of learning for elementary school teachers in Sigi District who had implemented the 2013 curriculum. The research method applied was Classroom Action Research (CAR) which referred to Kemmis Mctaggart consisting of two cycles and every silkus consists of four stages, namely 1) planning, 2) implementation, 3) observation and 4) reflection. Data collection techniques use analysis Qualitative Observation, interviews, documentation. The results of this study indicate that the application of image media based on local culture as a source of learning in elementary schools can be useful for teachers and in implementing provides an overview of how to implement image media integration as a source of learning local wisdom in SD Sigi Regency, Central Sulawesi so as to carry out active and enjoyable learning which can improve student learning outcomes.