bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Edmodo to improve number sense
Authors: Rifai M R , Jihad A , Sugilar H 
Published: March 2021

Abstract
The aim of this research for knowing the improvement of student’s number sense by using Edmodo. This type of research used the experimental method with the pretest-posttest control group design the group. This study uses the quasi-experiment method with a tutorial model conducted on class VII students one of junior high school in Bandung City. The instrument used in this research in a test. The test is used to know the improvement student’s number sense. Data analysis technique of quantitative used N-gain and independent t-test. Based on the results of the research show that there is no difference of number sense improvement from students who get Edmodo and conventional learning and the improvement both are included in the low number sense improvement. According to the results of the research can be concluded that the use of Edmodo not appropriate to improve number sense.
Design of decision support system for business feasibility study using SMART method
Authors: Septiana Y , Sofiah E , Mulyani A , Setiawan R 
Published: March 2021

Abstract
The business feasibility study is critical to be used as the main foundation to avoid and prevent the occurrence of unwanted risks related to losses in businesses run by business people in the services, trade, and manufacturing sectors. Through a business feasibility study, business actors will get an initial description of the feasibility or inadequacy of a business plan to be implemented, so that businesses get a prediction of decisions about the business to be carried out. Utilization of information technology in terms of business feasibility study decision support systems will help businesses to improve quality, productivity, efficiency, effectiveness, minimize risk, and solve business-related problems that will be run. This research aims to design a business feasibility study decision support system to assess the feasibility of implementing business in services, trade, and manufacturing. Decision-making method in a decision support system designed using Simple Multi Attribute Rating Technique (SMART), where the decision making criteria is based on economic feasibility studies with several predetermined attributes, namely Break Even Points (BEP), Net Present Value (NPV), Internal Rate of Return (IRR), Average Rate of Return (ARR), Benefit/Cost Ratio (B/C Ratio) and Payback Period (PP) and Profitability Index (PI). The results of this research are in the form of a business feasibility study decision support system that can be used to assess the extent of the benefits that can be obtained in carrying out business activity and is a material for consideration in making a decision, whether to accept or reject a planned business idea measured by benefits to be received, both financial and social benefits.
Detection of natural disaster victims using You Only Look Once (YOLO)
Authors: Sarosa M , Muna N , Rohadi E 
Published: March 2021

Abstract
Natural disasters are events that cannot be predicted both by location and time of occurrence. Natural disasters cause property losses and can even take lives. The handling of rapid evacuation must be done by the SAR team to help victims of natural disasters to reduce the amount of loss. But in reality, there are many obstacles in the evacuation process. Starting from facing difficult terrain to necessary equipment limitation. In this research, a system designed to detect victims of natural disasters uses image processing where the picture is carried out using a drone that aims to help find victims in delicate or vulnerable locations when reached directly by humans. Based on this background, this research proposes the development of a method for the detection of victims of natural disasters that aims to assist the SAR team and natural disaster volunteers in searching for victims who are in hard to reach places. The You Only Look Once (YOLO) method is implemented using the python programming language related to image processing. From the research that has been done, the accuracy result of detecting objects of disaster victims is 89%.
Classification based on K-Nearest Neighbor and Logistic Regression method of coffee using Electronic Nose
Authors: Prehanto D R , Indriyanti A D , Nuryana I K D , Permadi G S 
Published: March 2021

Abstract
Coffee has its own scent of identity which can be felt directly with the ability of the human sense of smell. With a specific coffee aroma that can be used to identify the type of coffee. In this study we propose that E-Nose (Electronic Nose) can be used to identify coffee based on the aroma of coffee converted into value data used for the classification process. The initial step is the data validation process using the calculation of the average value, standard deviation, Minmax. After conducting the dataset validation process, the next step is to implement the Logistic Regression (LR) and K-Nearest Neighbor (KNN) classification methods. The accuracy value is derived from the Confusion Matrix evaluation method, TP, TN, FP and FN values. This study focuses on finding the best classification accuracy value with the criteria having the highest accuracy value. This system can be used to classify types of coffee with a mixture of coffee and milk. This study will compare the results of classification using the two classification methods. Based on the results of the accuracy of the two methods presented the best results using the KNN method with a statistical calculation is 97.7%.
3D animation modelling using After Effect in biogeochemical cycle study to develop cognitive activities
Authors: Susanti D , Rahmat A , Amprasto A 
Published: March 2021

Abstract
The biogeochemical cycle is material that uses diagrams and is difficult to understand. Cognitive activity has a contribution in building understanding when studying a diagram. The purpose of this study was to obtain information about 3D animation modelling using after effect in biogeochemical cycle to develop cognitive activities. This research is a descriptive study. The model in this study is the biogeochemical cycle animation model using adobe after effect. Cognitive activity is measured before and during the study using a modelling example. All verbal data that appears is recorded and analysed according to think-aloud protocols (TAPs) which will then be translated and categorized into types of cognitive activity. The results of this study indicate that before using the modelling example the activity of activating the initial knowledge (K11) included in the high category. There was a development when study using modelling examples, namely elaboration (K41) most appeared with a high category. This study can be concluded that the 3D animation modelling using after effect can develop high-level cognitive activities, namely inference accurately (K31) and elaboration accurately (K41) in the biogeochemical cycle.
Handwritten recognition of Hiragana and Katakana characters based on template matching algorithm
Authors: Septiana Y , Mulyani A , Kurniadi D , Hasanudin H 
Published: March 2021

Abstract
Japanese has become one of the most popular foreign languages in Indonesia. From a survey conducted by The Japan Foundation in 2017 shows that Indonesia is the first largest student in Southeast Asia, therefore those interested in learning Japanese are quite popular in Indonesia. One of the things learned in Japanese is about writing Hiragana and Katakana characters, each of which has 46 standard characters. The research aims to implement a template matching algorithm for handwritten recognition of Hiragana and Katakana characters, which can later be implemented in application design for learning Hiragana and Katakana character writing. Through the application of template matching algorithm, the accuracy level of handwritten recognitions pattern matching reaches 89.8%, so the algorithm will be very suitable if implemented for Hiragana and Katakana characters writing learning applications.
Development Presensi PTI based on android with Quick Response code
Authors: Rahadian D , Hamdani N A , Gunawan R H , Bariyah S H , Purwanti Y 
Published: March 2021

Abstract

Presensi PTI (PTI Presence) is an android-based application with the use of QR Code which can be used as a record of the attendance list of students in each lecture that is carried out by the schedule and contract of college and student lectures. The purpose of developing this application is to provide a more effective, efficient, and accurate presence system according to the facts. The process of making this application uses the waterfall method which starts from the analysis, design, coding, and testing of functional suitability, performance efficiency, portability, and usability. The results of application testing on the characteristics of Functional Suitability, Performance Efficiency, and Portability with a percentage of 100% which means the application is good. As for Usability, it can be said that the application is feasible to use with a percentage of more than 70%.
Expert system for diagnosing narcissistic personality disorders using certainty factor and forward chaining methods
Authors: Uriawan W , Manaf K , Syaripudin U , Mujiburrahman M 
Published: March 2021

Abstract
Narcissistic disorder originates from the Greek legend Narcissus, a young boy who falls in love with his reflection in a pond. Personal with this disorder has a purpose with interests that are not reality, excessive, the nature is known as grandiosity. People with narcissistic disorders expect others to praise and follow their desires and requests and a narcissist is less sensitive to the needs of those around him. Research associations of the All India Institute of Medical Science which results in a period of six years, there were 259 people worldwide died with a percentage of men 72.5 percent and women 27.5 percent due to selfies due to excessive narcissism. The method used is Certainty Factor and Forward Chaining as an inference engine to determine the diagnosis results based on the prescribed symptoms. Calculations in this method combine the measure of increased belief and measure of increased disbelief values obtained from the expert and also classify the narcissistic personality disorder so that this expert system helps the user to find the level of narcissism that matches the user’s experience and obtain the value of trust and recommendations for handling narcissistic personality disorders.
Coding skills improvement through management blog on the internet
Authors: Wibawa B , Kusumah W 
Published: March 2021

Abstract
Coding skills be equipped junior high school students to create a simple application. This study aims to improve the management skills of coding through blogs on the internet. The methodology used was action research. Students are trained to make the coding of what she likes and masters. Algorithms and programming introduced in writing. Computational thinking is delivered in the form of text, photos and videos that attract students learn coding. Also made games and quizzes online. The results showed that the coding skills of students increased through management of blogs on the internet. Junior high school students become better able to create a simple application program.
The utilization of Adobe Pro DC in retrieving information of Sundanese interpretation
Authors: Khaerani I F S R , Riyani I , Darmawan D , Busro B , Sutisna M R R F , Kurnia A 
Published: March 2021

AbstractSundanese Translations and Interpretations are translations and explanations of the Qur’an using Sundanese language and compiled by mufassir originating from the Sundanese region, which existed since the 1900s. Recently, the Sundanese Qur’anic interpretation is hard to find since most of the book is no longer being reprinted. As a result, the Sundanese young generation hardly recognizes this valuable heritage. This study aims to digitize the Sundanese Qur’anic interpretation so that it is widely accessible. This research employs documentation searching through photos, scans, and Microsoft picture managers. The search for information on Sundanese exegesis used the Adobe Acrobat Pro DC. Recently, twenty-seven Sundanese interpretations and translations of the Holy Qur’an have been compiled during the pre-independence and post-independence colonialism, and two have been successfully digitized. This research shows that an information search engine related to the content of Sundanese language interpretation using the Adobe Acrobat PRO DC application can call document pages, web pages, open a file, custom links include letters and keywords.
Level of readiness of users of integrated information systems at UIN Sunan Gunung Djati Bandung using framework Strategy, Technology, Organization, People, Environment (STOPE)
Authors: Abidin R J , Irfan M , Alam C N , Azis M A 
Published: March 2021

Abstract
The optimal utilization of integrated information systems at state universities will be obtained if there are readiness users in the implementation of information technology. Knowing the readiness level of users required as readiness evaluation in the application of an integrated information system. Evaluation of users readiness level at the State Islamic University of Sunan Gunung dating Bandung in the implementation of integrated information systems based on STOPE Framework, this is aiming to measure users readiness level at State Islamic University of Sunan Gunung Djati Bandung to integrated information systems and providing a recommendation base on evaluation result and influence identification of domains on STOPE Framework. Approaching methods or frameworks are made and suggested to analyse the level of readiness. One of them is the STOPE framework approaching, which is used for this research. Strategy, Technology, Organization, People, and Environment (stope) are the development of the Listone method which research the development of technology in society by notice 3 of the main domains, such technology, “T”, Institution or organization and the individual or people. The goal of this research is to give valuation through the readiness of integrated information system users, which is useful for developing an integrated information system. The valuation of readiness in this research by using the STOPE framework, evaluation of 5 domains, 16 issues, and 39 Factors. The result of the analysis shows that from all Strategy, Technology, Organization, People, and Environment of Islamic State University, Sunan Gunung Djati Bandung is ranked 3 on scale 4 through the Integrated information system. Of the STOPE framework, the Islamic State University of Bandung level is ranked 3 on scale 4 through an integrated system.
Development of an electronic book epub 3.0 as a learning resource for blended learning IPA Terpadu
Authors: Nasrulloh I , Rahadian D , Bariah S H , Purwanti Y , Imania K A N 
Published: March 2021

Abstract
The purpose of this study was to produce an electronic book on IPA Terpadu competency and find out the quality of the product as a learning resource for blended learning. An electronic book consisting of text, images, and video, readable on computers or other electronic devices. The development of this ebook consists of 3 stages: planning, design, and develop. Testing electronic book on various devices with different operating systems on mobile operating systems (android) and personal computers (Windows). The results of the study show that: (1) the developed product is an electronic book format epub 3.0 on IPA Terpadu, (2) the results of field test show that the developed product has a good quality, results with an average of 85% (very satisfied)
Prediction of energy consumption using artificial neural network method in one of shopping center in Cirebon city
Authors: Pinanggih D H , Abdullah A G , Hakim D L 
Published: March 2021

Abstract
The faster economic growth will affect the increasing electrical energy needs. A technology to predict energy consumption is important for saving and energy efficiency. This will encourage the achievement of important objectives of the government namely the use of electricity on target and reduce environmental problems such as the greenhouse effect. So importance for predictions with sophisticated technology based on artificial intelligence such as artificial neural networks. The results of this study indicate that this method is very good at solving nonlinear problems and better than conventional methods.
Optimizing public street lighting and redesign of public road lighting based on DIALux and fuzzy logic
Authors: Wicaksono H I S , Abdullah A G , Hakim D L 
Published: March 2021

Abstract
Road lighting is one of the most important infrastructures in an urban area, one of its main functions is to provide comfort for road users as well as crime prevention at night. But besides having various functions, public street lighting systems must comply with standards and also pay attention to aspects of energy efficiency. This study discusses the optimization of using artificial intelligence with civil fuzzy logic methods to obtain a level of evenness that is in accordance with the standard, with input variables such as road width, pole height, lamp power and mounting distance between poles. Then the results of the Mamdani fuzzy logic are used as the basis for re-design input using DIALux and some additional input according to the standard criteria contained in the DIALux software. The results of this study indicate that both the level of evenness and other aspects have met the standards and also have energy savings of up to 58.6% of the existing conditions, this research is expected to be a recommendation in the design of street lighting.
Multi-agent formation based on self-loop Laplacian
Authors: Djamari D W , Fikri M R 
Published: March 2021

Abstract
This work studies formation control of Multi-Agent Systems (MASs) where its formation size is scalable via a scaling factor (scalable formation). Literature on scalable formation where the design of communication weight is based on the formation pattern is limited to the case of k-rooted graph and generic configuration of formation pattern. Different from the literature, scalable formation in this work is achieved under a weak assumption on graph and the formulation allows for a more general formation pattern. In this work, scalable formation is achieved by designing a self-loop communication weight for each agent which results in a new matrix called self-loop Laplacian. The self-loop weight is a function of the desired formation pattern. The convergence of the proposed algorithm is shown by standard linear system theory by first deriving the spectral properties of the self-loop Laplacian. The effectiveness of the proposed method is illustrated by numerical example. The proposed method is shown to achieve scalable formation for any initial position of agents.
Comparison of load flow analysis using PSAT and ETAP
Authors: Rif’an M , Raharjo I A , Syufrijal S , Pradana E 
Published: March 2021

Abstract
The level of electrical quality has become a necessity in supporting human activities, especially in voltage stability. To support the calculation of voltage stability, various load flow methods have been developed. Load Flow Analysis is very important in planning and implementation in designing future power system expansion and in determining the best operation of the existing system. The tools for calculating simulation based power flow are the Power Tool Analysis Toolbox (PSAT) and the Transient and Electrical Analysis Program (ETAP). This paper discusses the comparison of the performance of the two load flow simulation tools, PSAT and ETAP. The Gandul Substation network data in Indonesia in April 2019 with a load of 15.37 MW is used for simulations. Load flow analysis is performed using Newton Raphson method with a network of 11 buses (150 kV, 20kV). The simulation results show that PSAT has a deviation of about 0.663% to the Bus Voltage from GIG and ETAP simulation has a deviation of about 0.562% to the Bus Voltage from GIG.
Frequency changing effect on current transformer class 0.5s
Authors: Surya H H , Sudiarto B 
Published: March 2021

Abstract
This paper is aiming the frequency effect to a current transformer instrument, which is used to measure current that flow in a conductor. As technology is developing, the usage of a non-linear load is higher. This will cause a problem in the power quality of an electrical system. This disturbance in power quality influencing the working frequency on an electrical system. As a current transformer is one of the equipment in the system, when the primary of a current transformer is disturbed, it could also affect the secondary side. The result shows that the frequency changing has an effect on error ratio and phase displacement on a current transformer class 0.5s, which will decrease while the frequency is increase but still within the standard limit. Frequency changing also has an effect on Security Factor on an instrument, which will increase when the frequency is increasing. So, it is important to keep frequency within the fundamental frequency.
Forecasting electrical energy demand of PT. PLN (Persero) UP3 Sukabumi using analytical, econometrics, and trends methods
Authors: Subekti M , Rahardjo I A , Rosyanti D 
Published: March 2021

Abstract
This research was conducted to determine the electrical energy demand of PT. PLN (Persero) UP3 Sukabumi using analytical methods, econometrics and trends in 2019-2029. This research used a combined method which was a method compiled by combining several the models such as econometrics, analysis, and trends with a sectoral approach which was an approach by grouping electricity consumers into four sectors, namely the household, commercial, public, and industrial sectors. The results showed that the population rate rose 0.36% per year, the growth GRDP rate rose 6.26%; the number of electricity customers in the household sector rose 5.26% per year, the number of commercial electricity customers rose by 13.96% per year, the number of public sector electricity customers rose 7.58% per year, and the number of industrial sector electricity customers rose 3.53 % per year. it can be concluded that over the next 10 years the electricity demand will increase by 3,080.83 Gwh with an average growth of 10.69% per year.
Analysis of the influence of loading on age of use of transformers in Botupingge substation
Authors: Adam M A , Mohamad Y , Tolago A I 
Published: March 2021

Abstract
The lifetime of a transformer cannot be determined with certainty due to several factors. One of them is the loading and ambient temperature that affects the transformer, especially at the Hot Spot temperature and the shrinkage of its age. The greater the loading, the higher the Hot Spot temperature so that the life span of the transformer is shorter. This study aims to determine the effect of loading on Hot Spot temperatures, loading forage losses and to determine the effect of loading on the 150kV / 20kV transformer life in the Botupingge Substation. The results of research at Botupingge Substation were obtained at 100% loading of 4.47 pu/day with an estimated age of 4.03 years, at 90% loading of 1.14 pu/day with an estimated age of 15.79 years, and at 80% loading of 0.33 pu/day with an estimated age of 54.55 years. Effect of maximum temperature with loading on 20 November 2018 results in a decreasing age of 0.3611 p.u / day on the type of refrigerant ONAN, and the shrinkage of the age of 0.0228 p.u / day on the type of ONAF cooler so that the estimated lifetime of the Botupingge substation transformer will reach 20 years.