bluuebunny/crossref_metadata_2025 huggingface dataset:
KNN (K-Nearby Neighbor) for identifying agricultural land
Authors: Syahminan S , Maknunah J , Dijaya R , Hindarto H
Published: December 2019

Agricultural land in Malang Regency is a vital element because most of the population are farmers and working in the agricultural sector. The agricultural land area of Malang Regency is around 15.74% (49,593 hectares) which is paddy fields and 31.31% (98,641 hectares) are fields. Not all types of crops can flourish on each of these farms because every land and plant has different characteristics. Therefore, to help determine the type of food crops that are suitable for a land, a method system for identifying land for food crop cultivation using the KNN (K-Nearest Neighbor) method was developed. With the existence of a land identification decision system for food crop cultivation, this method approach makes it easier to determine which plants are in accordance with the conditions of the land, in order to increase agricultural productivity in the southern part of Malang Regency.
Local potency mapping-project using iMindMap
Authors: Della R N , Endah A
Published: December 2019

The results of previous studies confirm that there are several learning models that have the potential to improve students’ competencies in reviewing Creative Products and Entrepreneurship Products (PKK). Through iMindmap media presented by the teacher, students of Vocational Middle School (Vocational School) have the opportunity to develop project scenarios based on local potential using a business map. This experimental study aims to determine the effectiveness of the mapping-project learning model by using iMindmap based on local potential media to improve the competency of student entrepreneurship. The mapping-project instrument was developed by researchers and validated by experts. The results indicate that the mapping-project learning model using iMindmap based on local potential could improve student competence in analyzing business opportunities using analysis of strengths, weaknesses, opportunities, threats (SWOT), and designing prototypes of superior products based on local potential using a business map. This study recommends that with the mapping-project model, students’ ability to explore Creative Products and Entrepreneurship Products material becomes more profound, meaningful, and student-centered. Future research is needed to analyze the contribution of mapping-projects using iMindmap media on exact lessons.
Use of Naïve Bayes classifier algorithm to detect customers’ interests in buying internet token
Authors: Prehanto D R , Indriyanti A D , Nuryana K D , Soeryanto S , Mubarok A S
Published: December 2019

Determining possible technology used in calculating customer buying interest is important for the company as it relates to marketing strategies and policies. The Naïve Bayes Classifier is a possible method to measure customer buying interest. This study aims to analyze the accuracy of this method in calculating customer buying interest of internet token. Data were obtained from past sales and then analyzed using the Naïve Bayes Classifier to predict future opportunities by defining the class of attributes. The classifications used were operator, internet quota, token active period, and product price. This study found that the Naïve Bayes Classifier was provably accurate in calculating customer buying interest as well as comparing the prediction with actual results aside the data training. Results showed that this method successfully classifies 10 products of 858 transactions as data training and 10 products of 115 transactions as data test. Here indicates that all data test and data training analysis showed eight of the tenth meaning that eight of ten predictions were correct or it had 80% accuracy. This study is expected becoming a reference in analyzing data sales and predicting future sales conditions, so it will help to determine appropriate strategy of product development.
Simple Additive Weighting algorithm to aid administrator decision making of the underprivileged scholarship
Authors: Indriyanti A D , Prehanto D R , Prismana I G L E P , Soeryanto  , Sujatmiko B , Fikandda J
Published: December 2019

Underprivileged scholarships are assistance provided by government or institutions to students from poor families. Scholarships can be given to all students at the education level from elementary school to higher education with certain conditions and criteria. However, in reality many scholarships are given that are not on target. This is because of the number of students who register as scholarship recipients. Therefore, it is necessary to have a decision support system in order to aid the selection process. This study aims to find appropriate system to aid the underprivileged scholarship selection. This study proposed a system which was built using PHP for programming languages and using MySQL as its database using the Simple Additive Weighting method. Data is taken from SMK Sultan Agung 1 Jombang. Data is then analyzed and tested using the Blackbox testing method. Results of this research obtained a list of the best ranks of prospective scholarship recipients which are result of processing from system. The results obtained from system will be validated by means of comparisons with manual calculations as in Table 1. The validation results show same results, so that system can be said to be valid and can replace process that is done manually.
The counting game uses the fuzzy Tsukamoto method
Authors: Ekojono E , Cahyaningrum R , Batubulan K , Rahmanto A N
Published: December 2019

Learning to count on elementary school students must be trained in how to memorize, many practice questions are done repeatedly. This counting exercise needs to be stimulated so that students have the motivation to learn, this kind of training is mostly done by the teacher to students by giving questions in turns in one class as if the students are in a game playing condition. Counting exercises can be applied in the form of games with applied counting operations learning to train students to count quickly. The approach with attractive application visualization is expected to be able to help the learning of elementary school level students, especially class 1. Tsukamoto Method, in each rule is represented using a fuzzy set, using a monotonous membership function. To be able to determine the value of crisp output or firm results. By using the Unity 3D game engine that is capable of making 2D games, the Fuzzy Tsukamoto method is used to determine the final game score. Tests that have been done show that the results of the questionnaire that game 2d on the functionality aspect get a result of 3.97 on a scale of 5.
Design and implementation of keycode encryption for electric door lock embedded system using cryptography algorithm
Authors: Ariyanto Y , Batubulan K S , Aji D K P , Sutrisno N A
Published: December 2019

In this digital era the usage of locks is no longer only relies on traditional key systems, but also relies on usage of electronic sensors that can improve security system. Now the threat to keyless locking system does not only come from physical sources but also come from non-physical or digital sources. This treat can be prevented by using cryptography to hide digital data in the system. In this research utilizing a raspberry pi and a servo motor as a locking device, a web server as a data storage center, a mobile device software application as a user interface. Raspberry pi is a mini computer that can be used for various needs. The password will be sent over internet from mobile device to web server and raspberry pi will give a command to the servo to unlock and lock. This study will compare between combination of RSA, 3DES, AES 128 bit, and 256bit AES algorithms to obtain an algorithm that could be operated optimally on the system based on encryption and decryption speed. The final result of this study is a method to implement cryptographic algorithms on smart key systems to obtain better security.
Mobile Digital Education (MDE) for increasing competence of students based on E-Characters Mental Revolution (E-CMR)
Authors: Wibowo F C , Budi A S , Iswanto B H , Suherman S , Darman D R , Guntara Y
Published: December 2019

The purpose of this research is to develop a new web-based Mobile Digital Education (MDE) design to measure character education using as an effort to face the era of disruption. E-Character Mental Revolution (E-CMR) Based on Mobile Digital Education (MDE) for Student Competency Improvement in Facing the Disruption. The research method used was a mixed method with the research subject being 80 students in Islamic boarding schools and 80 students in one of the state colleges in Banten, Indonesia of aged 19-22. The scores were analysed using both qualitative and quantitative methods. The results obtained that MDE-based E-CMR can improve the cognitive competence of students in Islamic boarding schools with an N-gain  score of 0.74 high categories and improve cognitive competence of students of colleges with an N-gain  score of 0.76 high categories. It can be concluded that the MDE-based E-KRM is significant in increasing the competence of students and facing of the disruption.
Developing restaurant information system to support decision making
Authors: Kurniawan B , Zulfikar M F , Valentina T
Published: December 2019

The purpose of this study is to discuss how far the use of information systems and the effectiveness of information systems to assist in decision making in a restaurant, so that the system can be developed according to the needs in decision making. The method used in this research was descriptive method by using several references from several journals and previous studies to describe how information systems were developed for restaurants. This study discusses the display of information systems that can be used by a restaurant in loading transaction data and transaction reports that have been carried out, so that it can help the cashier to calculate the total transactions made by consumers, and assist in making data on income and expenditure, so they can calculate profit and loss at a restaurant. The results of this study indicate that the existence of an information system in a restaurant that contains various income report data, per-item income reports, and income statements, can help restaurant owners in making decisions, because restaurant owners can make decisions based on data which is accurately recorded in an information system.
Solution for using security technology in travel services
Authors: Dwiguna I , Nurulfajriyah S H , Yusup M
Published: December 2019

The purpose of this research is to develop technology so that it can be used in transportation modes, one of which is “Travel” transportation. The method used in this security technology is the ‘action research’ which aims to develop new knowledge products to solve problems with direct application in the real field. The results of this security solution research proved to be effective and efficient in helping travel parties to monitor employees, the location of vehicles and passengers who were given a sense of security, comfort and trust in choosing the travel service. This is because passengers often feel restless because of lack of security facilities, therefore a security system is needed that can be a security and comfort solution for passengers. It is expected that the application of this system can be applied by travel service providers and other public transportation.
The influence of digital payments on public spending patterns
Authors: Kurniawan B , Wahyuni S F , Valentina T
Published: December 2019

The purpose of this study is to analyze the effect of developing digital payments on current patterns of public spending. The method used in the writing of this paper was a descriptive method, where this method was intended to describe events related to digital payments and public spending patterns, and supported by theoretical foundations both from abroad and domestically. Digital payment was a payment system that uses internet facilities as an intermediary. The results of this study indicate that digital payments affect public spending patterns. Many people feel helped by the existence of this digital payment because with the existence of digital payments the public feels easier in making transactions. This can be seen from the number of people who make transactions using e-money every day. Therefore, many patterns of public spending change, from those who initially shop at direct retail stores (offline), now shop through applications (online stores) or what we often know as e-commerce.
Application of long-term renewable energy technology for nature balance
Authors: Sulistyo D , Maulana P , Yusup M
Published: December 2019

The purpose of this study is to identify the development of renewable energy technologies in the world, especially Indonesia for the future. The method used in this study is a descriptive method, namely by presenting a complete picture of the situation associated with seeing the developments that have been applied. The result of this study is to find out the extent of developments in the clean energy and renewable energy sectors, as well as the importance of the environment and natural balance in aspects. This research was conducted by discussing the development of technology that is applied as a producer of clean energy that does not have a bad impact on the surrounding environment.
Relationship between development and quality of video games
Authors: Ritzki N M , Mukharil A , Hermawan Y A
Published: December 2019

The purpose of the paper to investigate whether the development process of a video game relates to its quality. The worldwide video game industry had its ups and downs from their beginning in the 1950s until the present, with many video games released to success, but there are many which fail. To find the relationship between the development process of a video game and its quality, the author tries to study the development of 20 video games from a multitude of genres by AAA developers and publishers in the last ten years and comparing their respective critical reception and sales. The result of this paper tries to answer the question of whether a video game will be successful or failed in the commercial market based on its development process, marketing and life cycle. From the recent trends, the result is most likely inconclusive or varied depending on the video game in question. The author expects that this paper will give an insight about the development of video games to the readers and act as a basis to decide whether a video game can be considered a success or a failure in the market.
GOST enhancement key processing with Triple Transposition Key
Authors: Rahim R , Suprianto S , Multazam M T
Published: December 2019

The GOST algorithm is an algorithm that has good encryption and decryption speeds because the encryption and decryption process is simple with the use of keys that are not too good. Security in cryptographic ciphertext results is one of the factors that depends on the use of a good key too, one of the techniques that can be used is the Triple Transposition Key that processes keys as much as 3 x rounds with the transposition function. The Triple Transposition Key and GOST algorithms are combined during the key formation process so that the key obtained from the process of using the Triple Transposition Key algorithm is quite strong and minimizes the brute force attack. The use of the Triple Transposition Key algorithm on GOST can be used as an alternative to increase security on the key so that it does not have to have a combination of 2 or more algorithms that will only consume process resources and also do not significantly affect the speed of encryption and decryption.
Edge image detection combines Laplace operation with convolution technique to produce drawing materials for children
Authors: Purba R A , Sembiring J , Sihombing E H , Sondang S
Published: December 2019

The image object is a very interesting object. It is interesting as it can be processed even manipulated. The image cannot be separated from the computer. Computer can process images so that the value increases. There are many computer applications that can be used to process images. The development of the image is so rapid but does not touch the world of children yet. Although there are a lot of books that can be used as references for children, but there are not very interesting ones. By using computer technology, the image will have higher quality and beneficial for children. Of course there must be innovation to change the dynamics. The concept of edge detection combined with computerized based methods can be a good solution. Edge detection can be used to recognize patterns from an image. It can identify the edge in the image. In this study an edge detection system will be designed and implemented by using Laplace operators and convolution techniques. The initial image will be constructed so that a pattern in the form of dots will be formed.
Comparison of algorithm Support Vector Machine and C4.5 for identification of pests and diseases in chili plants
Authors: Irfan M , Lukman N , Alfauzi A A , Jumadi J
Published: December 2019

Data from the Central Bureau of Statistics of the population working in the agricultural sector continued to decline from 39.22 million in 2013 to 38.97 million in 2014, the number dropped back to 37.75 million in 2015. According to the MIT G-Lab Team (global entrepreneurship program) concludes five factors that make it difficult to raise agricultural productivity to compete in the domestic market, namely the low education of farmers in dealing with pests, the difficulty of access to finance for rural areas, lack of skills, lack of access to information and lack of application of agricultural technology. Chili plants are plants that are very susceptible to pests so BPS noted a decrease in chili production reaching 25%. Information about chili pests is collected so that it becomes a database that can be used to identify disease pests using the data mining method. The use of data mining algorithms is expected to help in the identification of pests and diseases in chili plants. In this study comparing the performance classification techniques of Support Vector Machine (SVM) and C4.5 algorithms. The attributes used consist of Leaves, Stems, and Fruits. By using each training data and testing data as many as 30 data. The results of the study were conducted, based on the accuracy of SVM, which was 82.33% and C4.5 89.29 %%. The final result of this study was that the accuracy of the C4.5 method was better.
Distributed architecture for autograding system
Authors: Elsen R , Latifah A , Sutedi A
Published: December 2019

Autograder used to measure source code quality based on the reference implementation. It will compare code execution results with reference implementation like a test case and generate grade based on the comparison result. College can use Autograder to help lecturer to test student’s skill in programming. Laboratory or online course can apply Autograder so students can use it to test their skill. Most of autograder use centralized architecture. It just executes and grades only one request at a time so if students submit their code to test, it will create a long queue and can risk highly to cause timeout because of a long queue and unexecuted request. In this paper, we propose to apply distributed architecture based on Service Oriented Architecture (SOA) for autograder to reduce queue and lower the risk for unexecuted requests that can cause an error in grading.
Disaster management system on mobile environment
Authors: Elsen R , Cahyana R , Satria E
Published: December 2019

Disaster Information Management System (DIMAS) is used to reduce risk caused by disaster by manage information about the affected area by a disaster. It also manages aids, volunteers, and refugee data to measure the effect of disaster accurately. DIMAS controlled by the government and operated by admins and field officers to keep data integrity so it can be accounted for future purpose. In this paper, we propose to apply DIMAS to mobile environment because of advantages that can be utilized to simplify the usage of DIMAS like GPS integration, mobility aspect, real-time data capturing, etc. At the result, we hope it can be applied to mobile environment to help the government collect data from the community.
Blockchain technology for managing an architectural model of decentralized medical record
Authors: Harika M , Rahmadika S , Ramdania D R
Published: December 2019

Medical record (MedRec) of the patient is derived from several healthcare providers i.e. hospital, the national provider, and laboratories which contains personally identifiable information test yet referred to therapeutic procedures and medications of the patient. MedRec has been compiled and maintained by several providers thus resulting in separated and disseminated the data among the parties. Mostly, the MedRecs are stored in provider’s database and the patients have no control to manage and access their data. Hence, in this paper, we propose a conceptual model for managing the data of medical record using blockchain technology in the peer-to-peer network with several protocols are embedded in the system. The proposed model aims to facilitate the patients in order to manage their data from various providers into a single view. Blockchain offers the promise of an immutable, single source of truth from multiple sources and facilitates a trust as well as validates an identity without the third-party involvement.
Comparison of Naive Bayes and K-nearest neighbours for online transportation using sentiment analysis in social media
Authors: Atmadja A R , Uriawan W , Pritisen F , Maylawati D S , Arbain A
Published: December 2019

Nowadays, online transportation is one of the transportation that is increasingly preferred by people. It becomes important because people need transportation to be more effective and efficient. However, sentiment analysis is necessary to improve the quality of services on online transportation. Sentiment analysis includes the process of extracting opinions, sentiments, evaluations, and emotions of people about online transportation services on Twitter social media. To get more accuracy in classification, the opinion is taken in large amounts and classify into positive and negative class. There are several steps that use sentiment analysis. Data collection, pre-processing data, POS Tagging, and opinion classification use the Naive Bayes Classifier method, compared to the accuracy of the K-Nearest Neighbours method. The results of the comparison of Naive Bayes Classifier and K-Nearest Neighbours algorithms use 565 data tweets from Twitter, divided 500 trained data, and 65 test data. The result showed that the Naive Bayes Classifier algorithm had achieved the accuracy rate of 66.15%, and K-Nearest Neighbours algorithm produces the accuracy rate of 67.69%. From the results, the K-Nearest Neighbours algorithm perform better accuracy in sentiment classification than Naive Bayes Classifier.
History visualization using augmented reality
Authors: Tetep T , Jamilah J , Ismail A , Mulyana E , Widyanti T
Published: December 2019

Augmented reality is an interactive digital media where objects in real-world environment is visualized through a computer-generated image. This research aims at developing an application to visualize abstract historical objects into more concrete objects so that it can be used as an instructional media. The development was done using Web Aurasma Based Studio and Reveal Mobile in six stages including concept, design, material collecting, assembly, testing and distribution. The results showed that the developed augmented reality application was highly effective in visualizing historical facts so as to motivate students in studying historical facts in a more real and concrete way.
Selecting multiple intelligences on children with weighted product, analytical hierarchy process, simple additive weighting and TOPSIS
Authors: Ahsan M , Setiyaningsih W , Susilowati M , Dijaya R , Tjahjanti P H
Published: December 2019

Multiple intelligence is intelligence possessed by every human being, among these intelligences are linguistic intelligence, musical intelligence, naturalist intelligence, visual-spatial intelligence, logic-mathematical intelligence, interpersonal intelligence, intrapersonal intelligence, and kinesthesis intelligence. Various methods are carried out by researchers to find out intelligence such as through numbers, images, music, words, physical and social-emotional activities. The purpose of this study is to decide and classify student intelligence based on multiple intelligence. The method used is Weighted Product (WP), Analytic Hierarchy Process (AHP) Simple Additive Weighting Method (SAW), ELimination Et Choix TRADITIONAL REAL (ELECTRE), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The four methods are a method that is in MADM and there have been many studies related to that method but no one has examined the determination of multiple intelligence related to these four methods. The results of the Weighted Product method calculation have the highest preference value 0.189261912 namely Verbal-Linguistic Intelligence, Analytical Hierarchy Process Method has the highest preference value 0.294117647 Verbal-Linguistic Intelligence, Simple Additive Weighting method has the highest preference value 0.677316667 verbal-Linguistic Intelligence and Technique for Order Preference by Similarity to Ideal Solution method has the highest value 0.679314281 Verbal-Linguistic Intelligence.
Framework Index security information to support evaluation, adoption and improvement of methods in developing variables
Authors: Kaffah F M , Slamet C , Rahman A B A , Manaf K , Subaeki B
Published: December 2019

The governance of information security in the Indonesian Government has not been completely improved. Many related variables components are not measured. This study aims to observe an evaluation for application of information security index framework in Indonesian government institutions as the implementation of electronic government. The analysis is carried out by adopting an information security index framework produced in the rank of e-government. The study uses a triangulation approach within a mixed method. This study results in a novel adoption model of information security index framework equipped by two new variables. Therefore, a proper policy of the Indonesian government is required for its implementation.
A review on Indonesian machine translation
Authors: Rahutomo F , Septarina A A , Sarosa M , Setiawan A , Huda M M
Published: December 2019

Nowadays, machine translation has important role in general communication. The need for machine translation system is higher in this era, resolving culture and nation boundary. Finding correct and optimal translation is not an easy task in language processing. Several machine translation system already exists, but the quality of the translation needed to be improved further. This paper discusses machine translation researches that involve Indonesian language to the other languages by systematic literature review. This paper exposes different approaches and tools for machine translation. The approaches also use various evaluation methods to measure the performance. Moreover, this paper proposes several future works to improve the machine translation quality of Indonesian to the other languages. The review results show that the attention-based approach is being increasingly used to improve the performance of neural machine translation. The translation performance quality depends on the number of the corpus, well-behaved aligned corpus, and the technique used.
Implementation of Augmented Reality (AR) android based in learning
Authors: Aprinaldi A , Rahmawati Y , Komaro M
Published: December 2019

Augmented reality is a technology that offers the ability to combine the virtual content with the real world. Augmented reality is divided into two, which is desktop based and mobile (android) can be used as a media in learning. The presence of augmented reality is a solution for abstract and complex learning. We are collected several journals related to augmented reality from a variety of sources, and acquired as many as 57 articles in the span of eight years between 2010 and 2018, and 28 of them in accordance with this research topic. We found a variety of research methods used to obtain the data for the implementation of augmented reality as a learning media, methods used include observation, questionnaires, surveys, pre-test and post-test, interview, video recording, and documentation. The resulting impact also varied, ranging from student motivation, student performance, student understanding, and the effectiveness of learning.
Society 5.0: Feasibilities and challenges of the implementation of fintech in small and medium industries
Authors: Hamdani N A , Herlianti A O , Amin A S
Published: December 2019

In Society 5.0, financial capital is no longer the key, but data that are interconnected with each other. The Internet of things will be a new normal, dedicated to unlocking human potentials. The purpose of this study is to analyze the feasibilities and challenges of the implementation of fintech in small and medium industries. To this end, a survey was conducted on a sample of 60 small and medium industries. It was revealed that the implementation of fintech in small and medium industries did not seem ready to be achieved due to the limitations in technology infrastructure, data and information, human resources and policy. Therefore, improvement to these factors should be made to realize the human-centered and technology-based society.
Integration of digital library server with Service Oriented Architecture (SOA) based on cloud computing using proxmox server
Authors: Ariyanto Y , Harijanto B , Setiawan A , Adhisuwignjo S , Rohadi E
Published: December 2019

With the advancement of computer virtualization technology, the use of cloud computing technology began to be scrutinized by researchers. With the existence of cloud computing technology can make computer virtualization on a server that is running. This can save the cost of providing information technology and operational infrastructure independently for each service that will be served. With this technology one physical machine is made into a shared resource that can be shared and used by several services at once. In this study made 4 servers using SLIMS7, digital libraries are virtual machines implemented in cloud computing servers with Proxmox servers. Database server digital library integration uses Service Oriented Architecture (SOA), by connecting to 4 virtual machine servers. Integration is carried out on the book data search system by entering keywords as book data searches that exist in each digital library server, with the results of displaying all book data on each digital library server according to the keywords. The conclusions of this study obtained after testing the system include the acquisition of a new model in the use of Service Oriented Architecture (SOA) to integrate the search for data books that exist in 4 digital library servers.
Review TVET learning innovation: Augmented reality technology for virtual 3D laboratory
Authors: Dede D , Abdullah A G , Mulyanti B , Rohendi D
Published: December 2019

Currently the trend of using Virtual Augmented Reality (VAR) technology in the field of vocational studies has become a very sexy research topic with visual features that can display objects in 3D, Virtual Augmented Reality can help many things, especially in creating innovation in various industries. In this literature study, the advantages and disadvantages of VAR are clearly described in terms of developing a three-dimensional virtual laboratory for innovation in learning vocational techniques. Unfortunately, some technical problems of VAR technology cannot be fully implemented into vocational engineering learning. The purpose of this study is to show a study of the application of VAR technology with a literature review system method in an appropriate three-dimensional virtual laboratory framework. This analysis is carried out by screening a number of publications of up to 30 major studies published from 2009 to 2018. The results show the low application of VAR technology in education and the increasing application of VAR in industrial environments that lead to high complexity for selecting and developing vocational engineering learning with the VAR system. Subsequent research was also proposed to design and implement AR technology integration into a virtual three-dimensional laboratory specifically for vocational engineering.
Monitoring electrical energy in electronic energy audits through internet of things technology
Authors: Sulistyanto M P T , Pranata K B , Afandi A N , Sendari S , Sulistiyowati I
Published: December 2019

Energy conservation, especially electricity, can be done by conducting an energy audit. Energy audit activities can analyse and find energy-saving opportunities from energy use. This study developed a prototype of a wireless electrical energy monitoring system on a laboratory scale to monitor the use of electrical energy from both electrical equipment using a microcontroller as a sensor node. These nodes have installed several sensors, namely the current sensor, humidity sensor, temperature sensor and light sensor. The protocol used in communication between nodes and servers is the HTTP protocol in the Internet of Things design that can communicate using internet network intermediaries. Data on the server can be monitored in real time using the application on the client side.
Digitalisation trend in education during industry 4.0
Authors: Muktiarni M , Widiaty I , Abdullah A G , Ana A , Yulia C
Published: December 2019

This study synthesizes the findings of a study of the trend of digitalization of the education world in the face of the industrial revolution 4.0. The researched journal starts from 2015 to 2019. This paper focuses on the challenges and opportunities of industry 4.0, the development of industry 4.0 is characterized by the development of big data and artificial intelligence. Skills needed in this era or called big data and artificial intelligence, including advanced analytics, Internet of Things, and digital security. All fields of both education and industry in the world will be affected by the development of industrial revolution 4.0, a new pattern when disruptive technology is present so quickly that all circles especially education must be able to immediately adjust to industrial development 4.0. Therefore, the world of education and industry must be able to develop industrial transformation strategies by considering the human resources sector that has competence in their field. This is a challenge for the world of education in preparing the quality of human resources in order to adapt to industry 4.0. From several studies that have been carried out the trend of digitalization in the world of education as one of the dominant solutions carried out in the face of the industrial revolution 4.0, this is in line with the new pattern found in industry 4.0 namely disruptive technology.
Developing smartphone-based laboratory manual as a learning media
Authors: Suryanda A , Sartono N , Sa’diyah H
Published: December 2019

The purpose of this study was to develop a smartphone based laboratory manual as learning media for biology learning. This research was conducted using the ADDIE model (Analysis, design, development, implementation, and evaluation). The media feasibility test obtained an assessment of 90.28%, material experts 87.75%, biology teachers 91.37% and 88.46% students with very good interpretations. The increase in psychomotor ability test obtained a gain value of 0.49, which means there is an increase in psychomotor abilities of students with a moderate category. The conclusion obtained is that the smartphone-based laboratory manual has been successfully developed and is suitable for use in learning.
Locomotor basic movement skill instruments through games for elementary school
Authors: Sari E F N
Published: December 2019

The instrument of locomotor basic movement skills for elementary school students based game is a measurement tool to determine the eight learning outcomes of locomotor basic movement in early level students an age where fun activities are essential to them. This study aims to develop the instrument by identifying the characteristics of children generally at their age besides to analyse the current methods that have been used by teachers in elementary school. Literature review method was used in this research through pre-survey activities. The survey was carried out in 17 public elementary schools in Ciracas sub-district, East Jakarta. Early research results in, the indicator of locomotor basic movement’s scoring add up to 8, making test scoring form with scoring range 1 until 4 with observation test of locomotor basic movement skill which is conducted through playing puzzle activity. The results of this preliminary study recommended that puzzle games can be applied as an assessment tool for the locomotor basic movement of low-grade students in the elementary school, but with revisions to improve the final blueprint/prototype.
Investigating the effect of multimedia-based interactive basic techniques on futsal exercise variations
Authors: Iqbal M , Asmawi M , Tangkudung J
Published: December 2019

Futsal at a glance is similar to football. Likewise with variations when planning, when leading, shooting, and passing the ball. The choice is different between soccer and futsal which is located on a wide field between them. Extensive futsal fields are much smaller than a soccer field. This research was conducted in the area of Kusuma Cijantung, East Jakarta, Jakarta. This research was conducted in March-April. The research in this study discusses. About testing the effectiveness of variations of futsal training based on interactive multimedia. The population in this study were first semester students of STKIP Kusuma Negara Jakarta with one hundred twenty people. The part in this study was semester students from forty people randomly. The results of the study show that this variation is effective for use in futsal training or school learning.
Improving concept comprehension ability in mathematics by using mathematical model: Think-pair-share approach
Authors: Asria V Z
Published: December 2019

This study aims to investigate whether or not there the difference between students’ mathematics concept comprehension ability by using Think Pair Share (TPS) approach and by using direct learning reviewed based on their preliminary ability (high, medium, and low level). This research was a quasi experiment by using post-test only control group design that aimed to investigating the cause and effect by treating one of classes, and comparing the result of the class that was treated differently. Methods of data collection in this study through observation, documentation and test, involving 42 students of senior high school in Pekanbaru in the even semester of 2017. T test was used to analyse the data. The results showed that there are difference between students’ mathematics concept comprehension ability by using TPS approach and by using direct learning reviewed on their preliminary ability to learning outcomes. Classes with TPS approach give better learning outcomes than the ones in direct learning classes. Thus, in general the implementation of TPS approach influenced students’ mathematics concept comprehension ability reviewed based on their preliminary ability at Senior High School in Pekanbaru.
What are the difficulties in statistics and probability?
Authors: Puspitasari N , Afriansyah E A , Nuraeni R , Madio S S , Margana A
Published: December 2019

Statistics and probability are part of school math. But in reality, there are still many students who get poor grades in the subject. This study aims to find out on which indicators student experience difficulties in statistics and probability. The research method used was quasi-experimental with a total sample of 115 respondent. The result show that respondents’ difficulties in statistics and probability were difficulties in in probabilistic reasoning, combinatoric reasoning, and proof of variability in random variables. Based on the result obtained, to be able to understand statistic and probability properly, good mathematical logical thinking skill are needed.
Structure sense Mathematics with construct 2 and sticky notes
Authors: Sugilar H , Kariadinata R , Sobarningsih N , Agustina R D
Published: December 2019

The purpose of this study was to determine the ability of the mathematical structure sense and attitudes of students through learning with construct 2 and sticky notes. The design of this study was Quasi Experimental with a non-equivalent control group design model, the research subject of the first semester biology of education students who were studying elementary mathematics. The results showed that the low ability of students’ mathematical structure sense was caused by several factors including the low response of elementary mathematics learning students 43.24%, low ability of student symbol sense of students are 51, 64%, construct 2 needs to be developed to respond to students who have basic math learning difficulties 63.21%, and 74.56% of students state that sticky notes are easier to apply, understandable and more practical. The ability of the structure is influenced by the learning model and the media used.
Variable selection methods applied to the mathematics scores of Indonesian students based on convex penalized likelihood
Authors: Santi V M , Notodiputro K A , Sartono B
Published: December 2019

Variable selection is an important topic in linear regression analysis. In practice, a large number of predictors usually are introduced at the initial stage of modeling to attenuate possible modeling biases. stepwise deletion and subset selection are usually used which can be computationally expensive and ignore stochastic errors in the variable selection process. In addition, the best subset selection of variables suffers from several disadvantages, the most severe of which is its a lack of stability. In this article, penalized likelihood approaches are proposed to handle these kinds of problems. The proposed methods select variables and estimate coefficients simultaneously. Some of penalty functions are used to produce sparse solutions. Based on the RMSE and Generalized Information Criterion (GIC) criteria, it was found that the factors affecting Indonesian mathematics scores, where LASSO produces 11 important variables for the model while SCAD has 6 variables which mean that the LASSO model is more complex than SCAD. The MCP produces a simpler model with 5 important variables but has excessive biassed. The results also showed that the SCAD penalty function had the best performance compared to LASSO, Ridge and MCP. Ridge penalty has a worst performance based on all criteria.
Mathematical spatial and disposition ability through the wingeom application
Authors: Kariadinata R , Yaniawati R P , Juariah J , Susilawati W , Cahyana A
Published: December 2019

The purpose of this study was to determine the increase and achievement of mathematical spatial abilities based on high, medium, and low categories and to find out the attitudes of students towards learning through Wingeom. This research is a quasi-experimental study conducted on class IX students of one junior high school in Bandung Regency. Based on the data gain and posttest data it was stated that there were differences in the significant increase in mathematical spatial ability in both the PAM (pengetahuan awal matematika) category (early mathematical knowledge) and overall experience differences with the high mean. In general, students respond well to the use of learning media through the Wingeom application with an analysis of 2.76. Thus learning through the Wingeom application can be used as an alternative to improve the spatial abilities and mathematical dispositions of students.
The category of supermodules
Authors: Hadi I , Makmuri M , Sudarwanto S
Published: December 2019

Given a commutative algebra with unit element R and an R -module U, in this paper we will construct a category consists as objects all pairs of R -modules (N,M) where N is direct sum of U and M contains U . To define the morphisms between any two objects, we will identify an object (N,M) with an R -module E determined by N and M . By this method, we obtain a category denoted by CU
. Further, if W is a direct summand of U then there exists a functor from CU
to CW
.
Effect of problem based learning models on student skills in conducting validity and reliability test of objective question
Authors: Wulaningsih R D
Published: December 2019

Testing the validity and reliability of objective questions on PPEP (Perencanaan, Pengelolaan, dan Evaluasi Pembelajaran/Learning Planning, Management, and Evaluation) courses which is carried out at the Biology Education Program Study FMIPA UNJ demands thorough attention, considering the lecture material in this course is important to provide adequate knowledge for the students as prospective education graduate. Problem Based Learning Model is a cooperative learning model that focuses on student group work in the form of small groups, which consists of four to six people. Students in groups will work together in a positive way and become responsible independently. Data collection using pretest and post-test completed with documentation. The results of this study show that there is an influence of the problem-based learning model on students’ skills in testing the validity and reliability of objective questions on PPEP courses.
Bound state solutions of the Klein-Fock-Gordon equation with the sum of Manning-Rosen potential and Yukawa potential within SUSYQM
Authors: Ahmadov A. I. , Demirci M. , Aslanova S. M.
Published: December 2019

In this study, the bound state solutions of the Klein-Fock-Gordon equation are examined for the sum of Manning-Rosen and Yukawa potential by using a recent improved scheme to deal with the centrifugal term. For any l ≠ 0, the energy eigenvalues and corresponding radial wave functions are determined under the condition of equal scalar and vector potentials. In order to obtain bound state solutions, we use two different methods called supersymmetric quantum mechanics (SUSYQM) and Nikiforov-Uvarov (NU) methods. The identical expressions for the energy eigenvalues are obtained, and the expression of radial wave functions transformations to each other is revealed via both methods. For arbitrary l states, the energy levels and the corresponding normalized eigenfunctions are given in terms of the Jacobi polynomials. A closed form of the normalized wave function is also obtained. It is seen that the energy eigenvalues and eigenfunctions are sensitive to nr
radial and l orbital quantum numbers.
Generalized Four-Dimensional Effective Hadronic Supersymmetry based on QCD: New Results
Authors: Burdik Čestmir , Catto Sultan , Giircan Yasemin , Khalfan Amish , Kato La V. , Yu Enxi
Published: December 2019

New results are shown on the generalization of phenomenological hadronic supersymmetry based on QCD as an extension of spin-flavor SU(6) symmetry. A more general supersymmetric extension of the group SU(6/21) will be given with applications to pentaquark and tetraquark states for which there is a great deal of ongoing research.