bluuebunny/crossref_metadata_2025_split huggingface dataset:
Combining decision making algorithms to improve accuracy of the course assessment rank
Authors: Hay’s R N , Muttaqin Z , Maylawati D S , Ramdhani M A 
Published: March 2021

Abstract
Assessment activity is important to keep the quality of student’s knowledge. This study aims to combine decision making algorithms to improve accuracy of the course assessment activities rank to evaluate the student’s knowledge automatically. This study use Analytical Hierarchy Process (AHP) and VIšekriterijumsko KOmpromisno Rangiranje (VIKOR) as decision making algorithms. AHP and VIKOR are Multi-Criteria Decision Making (MCDM), where VIKOR is compromise ranking method that is expected to improve the accuracy of the ranking results. AHP and VIKOR algorithm which are combined in this study are named AVI. The experiment result with 6 types of assessment as criteria shows that AVI capable to increase the accuracy value of assessment ranking result until 1.75 times more accurate/higher percentage than using AHP or VIKOR only. This result has implications for the similar research of decision support systems, for different case studies, it can be applied the AVI combination method to improve the accuracy of ranking results.
Development of the SEQ-alfa© multimedia in Chemistry learning
Authors: Fajariyah D , Irwansyah F S , Farida I 
Published: March 2021

Abstract
This research aims to develop the SEQ-alfa© multimedia, especially on the addition of language types and the addition of pressure and volume factors as the effect of shifting chemical equilibrium. SEQ-alfa is a multimedia simulation that can visualize the dynamic nature of a reversible chemical reaction in the equilibrium process, as well as the visualization of the particles in a reaction to reach equilibrium. SEQ-alfa© can also visualize the shift in chemical equilibrium when one factor (concentration or temperature) in the system is changed. The research method used is Design Based Research (DBR). The results of this study are in the form of designs that will be used in the development of SEQ-alfa© multimedia learning media.
Information system design of data bank population using Rapid Application Development
Authors: Fitriani L , Berlianti N E , Cahyana R , Baswardono W 
Published: March 2021

Abstract
Population data is available from the results of structured individual data and aggregate data as a result of population registration and civil registration activities. In Indonesia, many high school students who are seventeen years old do not yet have a national identity card; this is due to their lack of knowledge of how registration to get a national identity card. The purpose of making this article is to provide an opportunity for students to make it easier to get their residence documents, such as making a National Identity Card. The methodology used is Rapid Application Development, with the stages of business modeling, data modeling, process modeling, application formation, testing, and turnover, wherein this article is limited only to the scene of the modeling process. The results of this study are in the form of a population data model in Web-based for Senior High School or Equivalents, and to make it easier for students to receive information about their residence documents such as making national Identity Cards.
Implementation of the Markowitz method in the Robo-Advisor application for best investment selection
Authors: Gerhana Y A , Umam M M , Atmadja A R 
Published: March 2021

Abstract
Investment is the best way to ensure financial security in the future. The number of investment choices available often makes potential investors confused in determining the right investment choice. The purpose of this study is to implement the Markowitz Method in the Robo-Advisor application to the selection of appropriate mutual fund investment products. This research is experimental in finding the best mutual fund portfolio. The Mutual Funds products used are Danareksa Flexible Orchid (DAF), Bahana Trailblazer Fund (BTF), CIMB Principal Total Return Equity (CIMBPTRE), and Danareksa Mawar Consumer 10 (DMK). The data used amounted to 60 data from 2014 to 2018. Based on the results of calculations, the first portfolio has a higher return rate of 0.55%, while the second portfolio has a return rate of 0.54%.
Development of digital comic for science learning in elementary school
Authors: Sari Y , Sari R P , Sumantri M S , Marini A 
Published: March 2021

AbstractThis study aims to develop digital comics for learning science in elementary schools. Digital comics make it easier for students to learn science both online and online. The method used is research and development. The method used in data collection is a questionnaire. Research and development results: (1) The development research process is carried out with several stages adapted from the Plomp development model. The stages: Initial Investigation, Design (design), Realization (construction). The initial investigation phase includes curriculum analysis, material analysis, and analysis of learning objectives. The design phase includes the preparation of material, media selection, format selection, and digital comic design. The realization phase (construction) includes finished products in the form of applications (.apk).
Development of educational games for learning waste management
Authors: Satria E , Fitriani L , Muhsin Y S , Tresnawati D 
Published: March 2021

Abstract
The waste problem is caused by people’s behaviour that does not care about environmental cleanliness. This study aims to create an Android-based game education application as a means to educate the public in managing waste. The method used is the multimedia development life cycle, consisting of concept, design, material collecting, assembly, testing and distribution. The results of the study are in the form of the design and development of edugame applications on waste classification, targeting primary school children. The edugame design consists of 3 levels, adapted to the classification of waste types: organic, non-organic and toxic. The application is built on the Android platform with the concept of an adventure game that provides users with real-world experience in managing waste properly. Edugame application is expected to be an alternative in learning to the community in maintaining environmental cleanliness.
Classification using Deep Learning based on selection optimizing counseling data
Authors: Budianto A E , Othman M F I , Rahim Y A 
Published: March 2021

Abstract
Counseling is professional assistance given by counselors to clients directly, to solve problems and improve their behavior. In the future. The discussion of the problem in question is in-depth which concerns important matters about the client, broad covering various aspects of the client’s problem, and specifically to alleviate the client’s pressing problems. The Support Vector Machine and Multi Layer Perceptron algorithm is applied to classify counseling data provided by professionals to clients with an accuracy of 86.39%. Data from Vocational Research in Malang City in 2018. To improve the optimal accuracy of the type of counseling data classification, this study proposes an algorithm optimization feature for the Deep Learning algorithm. The results showed a significant increase in accuracy. The value of classification accuracy in counseling data generated by the Deep Learning algorithm has increased to 97.37% with a better level of accuracy.
Development of an online system for reporting service problems of state-owned companies
Authors: Cahyana R , Satria E , Faujiah E , Heryanto D 
Published: March 2021

Abstract
Several state-owned companies in Indonesia provide subscription services for the general public. One of them is the Regional Water Company as a provider of clean water. Handling service problems by the company affect customer satisfaction. This study aims to develop that online system for reporting service problems by following the Rational Unified Process stages, which are limited to the construction stage. The research successfully developed the system, which includes user activation functions, problem maps, as well as reporting and history of problems, and their handling. The system becomes a communication bridge between the company and the customer. Through this system, companies can see the condition of customers displayed in the form of icons and at several points of geographical location on the map. The green icon represents the condition of the customer who is not dealing with the problem, and vice versa is red. The yellow icon represents the condition of the customer whose issue is being handled by the company.
Weather data processing application system web-based for pest control of rice plants diseases
Authors: Supriatna A D , Septiana Y , Baswardono W , Satria E 
Published: March 2021

Abstract
One of the factors that influence the success of rice cultivation is the control of pest and disease disruption. Disruption and development of disease pests are very dependent on the weather conditions so that weather information is needed that develops in the planting area so that disruption and the development of pest pests can be controlled and does not have a significant effect on the productivity of rice plants. Therefore, we need a way that can be used as a guide for farmers so that they can overcome the limitation of farmer’s knowledge on the effects of changing weather conditions. The main weather components that affect the growth and development of rice plant pests are temperature and humidity. The research aims to develop software that functions to process temperature and humidity data on the growth and development of rice plant pests so that it can help farmers to maintain the development and control of rice plant pests. The system design method used is object-oriented methods, namely the Rational Unified Process, which consists of several stages including inception, elaboration, construction, and transition. The application system developed was designed using web-based technology that can be accessed through the use of smartphones so that farmers can easily access it. With a simple appearance and user-friendly interface, it makes it easier for farmers to understand the features available in the application system.
Game Open Online Physics Instructional (GOOPI) for technology improving 21st-century careers
Authors: Wibowo F C , Nasbey H , Sanjaya L A , Darman D R , Gumala Y , Adityo F P , Budi A S 
Published: March 2021

Abstract
Physics is fundamentally formed from scientific processes that take place continuously and sustainable through experimental stages known as the scientific method. The scientific method will give a positive meaning if the Instructional Physics can be applied in learning through online games to improve 21st-century careers. This study aims to Development of Open Online Physics Instructional Games (GOOPI) for improving 21st Century Careers. The research method used was ADDIE (Analysis, Design, Develop, Implement, and Evaluate). The results showed that Development of Open Online Physics Instructional Games for improving 21st Century Careers.
Microservice architecture design for autograder using distributed architecture
Authors: Elsen R , Nashrulloh M R , Cahyana R , Mulyani A , Latifah A 
Published: March 2021

Abstract
An autograder is a system for grading student code submission so the lecturer and student can get the result immediately after code has been submitted. This system using distributed architecture which uses multiple backends as a grader in purpose to reduce execution time caused by the queue. This system needs some components to make it work. Based on distributed architecture applied in this system design, the components need to be separated and run independently but still running their respective orchestras. In this paper, we propose a microservice architecture design to determine components that might be needed by autograder to complete its purpose and run well.
Recommendation for giving loans using the Multi Objective Optimization method based on Ratio Analysis
Authors: Dauni P , Wahana A , Anjani F , Manaf K 
Published: March 2021

AbstractMekar Harapan Farmers’ Cooperative, a cooperative which was dealing with savings and loans. This cooperative has a constraint in lending operations, namely the provision of lending recommendations in accordance with the rules that are less effective and efficient in determining the feasibility decisions for a large number of loan applications so that they are less selective in making decisions. To assist cooperative management in determining the eligibility of loans by providing a fair, objective and transparent assessment, a system of recommendations is needed that can help the selection process in accordance with predetermined criteria. The methodology used in this system is the method of Multi Objective Optimization on The Base of Ratio Analysis (MOORA) because this method has a good level of selectivity in determining an alternative. This system will be used as a medium of evaluation by the MOORA method of several loan applications that have been registered in the system conducted by members and managed by officers, then approval by supervisors. With this Loan Recommendation, it is expected to make it easier for officers in the selection process to determine the eligibility of a loan so that the results of the assessment can be known easily, quickly, and accurately.
Implementation irrigation system using Support Vector Machine for precision agriculture based on IoT
Authors: Sumarudin A , Ismantohadi E , Puspaningrum A , Maulana S , Nadi M 
Published: March 2021

Abstract
The industrial revolution 4.0 is driving increased production and automation of systems using the internet of things and data mining. Climate change and young farmers knowledge make it necessary to create an internet-based and Artificial intelligent farming system. Farmers need a system that can help the process of watering and fertilising for crop growth. In several previous studies, calculating the prediction of water density from moisture sensor data and to predict future moisture values using SVM, the implementation of artificial intelligence for precision agriculture to detect field-grown cucumber, in other studies determining the amount of water using fuzzy systems and neural networks, parameters used in determining irrigation systems consist of environmental data including ambient temperature, humidity and soil moisture several additional variables in determining irrigation control using crop water demand, soil evapotranspiration and weather condos, forecasting agriculture water uses LS-SVM to improve accuracy and speed in the forecasting process implementation of automated irrigation using IoT. In this paper, we propose the integration of water quantity predictions on plants using several environment variables for forecasting using linear Support vector machine. Accuracy rate of SVM reaches 95%, 94.3% precision, 91% recall, F1-score 92.7%. The results of the forecasting will be sent to the end node using the MQTT protocol.
The Impact of Electronic Puzzle on two-dimensional shapes grouping lesson
Authors: Rahayu S , Ladamay I 
Published: March 2021

Abstract
This research aimed at developing Electronic Puzzle media to assist students in understanding an abstract concept of two-dimensional shapes grouping lessons. This research employed a quantitative approach with quasi-experimental method. This research further intended to determine the effect of Electronic Puzzle media on student learning achievement. To determine the sample, it employed random sampling technique. The research data were tested and analysed through SPSS 21.0 for Windows. The results showed that there was an influence of use Electronic Puzzle using application I’m a Puzzle to improve student learning achievement in class II SDN Gadang 01 Malang. There are difference learning achievement between students taught using Electronic Puzzle and not. Through these results it is expected that elementary school teachers can develop themselves in the use and development of electronic-based media and teaching aids in their classroom learning.
Prediction of courses score using Artificial Neural Network with Backpropagation algorithm
Authors: Kurniadi D , Mulyani A , Septiana Y , Yusuf I M 
Published: March 2021

Abstract
This study aims to predict the final score of courses of students who are undergoing education in higher education. In the future, this work will be used to inform students that there must be early anticipation in implementing the study of courses in order to get a satisfying final grade. The Artificial Neural Network with Backpropagation algorithm is used to solve the prediction problem for the final grade of this course. The dataset collected was 337 students who will be used for training and testing needs. Prediction variables used consisted of the value of attendance, assignments, midterms, and final exams. The network architecture using a multi-layer perceptron with three layers, namely the input layer, hidden layer, and output layers, with a 4-3-1 neuron pattern. The results showed that using a learning rate of 0.2 and repetition Epoch 1000 times, resulting in an RMSE value of 0.040929 and MSE of 0.001675 with an accuracy rate of 93.43%.
Blended Learning implementation in introduction to artificial intelligence courses using the System Development Life Cycle method
Authors: Prasetyo D , Wibawa B , Dima A O 
Published: March 2021

Abstract
Indonesia is an island nation with geographical conditions that are bounded by many seas and mountains. The situation causes the condition of the islands that are far apart from one another. This certainly affects the conditions and social, economic, technological, and related interactions in daily life, one of which is the level of educational progress in one region / island with other regions / islands. The level of educational progress is certainly influenced by how the learning system is implemented in that place. To overcome the obstacles in improving the quality of learning and equal distribution of learning opportunities in different geographical, cultural, socioeconomic conditions, one solution is created, namely Blended Learning by utilizing devices connected to the internet. Methods that can be used in this research include SDLC (System Development Life Cycle). The optimism of the successful implementation of the Blended Learning system is very high because the facilities and atmosphere of various parties are very supportive plus the needs will become priority needs for everyone in this case students. In the province of East Nusa Tenggara has the geographical conditions of many islands, therefore the Blended Learning system is good enough to be applied, because in addition to the above mentioned transportation limitations for students and educators also become obstacles in conventional learning.
E-commerce information systems as leather marketing in Garut
Authors: Nugraha Y , Bhakti D D , Hamdani N A , Tetep T , Ainina Z N 
Published: March 2021

Abstract
Garut Regency is one of the cities that has leather craft with good quality that can compete nationally and internationally, the products is leather mat, leather jacket, leather shoes, leather bags, gloves, hats and many other processed leather products. As the development of Garut city, many more businesses are also in the field of leather, ranging from small entrepreneurs to large entrepreneurs. The writer conducted research to increase sales and expand the marketing of Garut leather products through a web-based e-commerce sales information system and use development method using a fast and simple Process. The results obtained in the form of a web site that can be accessed to serve online sales transactions so that to increase sales of processed leather products in Garut regency.
Irrigation forecasting by using fuzzy logic on sensor data
Authors: Puspaningrum A , Ismantohadi E , Sumarudin A 
Published: March 2021

Abstract
Water irrigation is one of the most critical resource in developing agriculture. Furthermore, increasing of domestic demand has been divert water supply in agriculture. However, the efficiency of irrigation is very low. Besides that, soft computing tools like Fuzzy Logic has been used widely in many areas. Fuzzy logic has a good performance to solve the problem precisely. In particular, this method has been found useful in the area of agriculture. So that, this paper proposes irrigation forecasting by using Fuzzy Logic. The irrigation is forecast by using several sensor data such as soil, air temperature, and humidity to calculate opening of valve. Experimental result shows that the proposed method can give the prediction of valve opening for irrigation.
Long-term forecasting of electricity in East Kalimantan Province using the fuzzy logic approach
Authors: Salihan G A , Abdullah A G , Hakim D L 
Published: March 2021

Abstract
The increase in the number of residents has an impact on the increasing number of electricity customers each year, resulting in an increase in electricity consumption. In order to achieve the adjustment of generation and demand for electrical energy needs electricity system planning is needed, one of which is forecasting the consumption of electrical energy in the future. This aims to realize optimization in the process of supplying electrical energy. In this study, the application of the fuzzy logic method is used to process the rules of the input variables and produce forecasting of long-term annual electricity consumption in East Kalimantan Province until 2028. In addition, the Exponential Smoothing method is also used as a comparison method to determine the accuracy of forecasting calculation models. Electrical energy forecasting has characteristics that are usually influenced by factors such as population, number of customers, GRDP and so on. Input data used for learning fuzzy logic in this forecasting are the actual data for 2010-2018 and the projected input data for 2019-2028 are used to obtain forecasting results. Then the forecasting data for 2019-2028 is compared with the PLN RUPTL projection data. From the results of forecasting, the best level of accuracy with the smallest error value is obtained using the fuzzy logic method that is with a MAPE value of 3.80%. This research is expected to be a consideration for forecasting electricity consumption models for the planned transfer of Indonesia’s new capital in the area of East Kalimantan Province.
PLC (Programmable Logic Controller) distance learning using remote lab system
Authors: Purnomo R D , Mulyanti B , Kustija J 
Published: March 2021

Abstract
The aims of the research were to study PLC (programmable logic controller) distance learning using remote lab system, in term of student’s responses. This study used survey data collection techniques and quantitative descriptive methods for data analysis. The respondents are public and private Vocational High Schools students in West Java, Indonesia. The results of the research indicated that he remote lab system developed by researchers is easy for students to use. The use of remote laboratories helped students in practicing PLC programming. Most of VHS’s students in West Java said that they would recommend the remote lab developed to other students. This indicated the satisfaction of students in using the remote lab for distance learning. In addition, students’ stated that the overall remote lab system can worked well, easy to use, and they were satisfied with PLC distance learning using the remote lab.