bluuebunny/crossref_metadata_2025_split huggingface dataset:
Model development measurement of interests based on expert system
Authors: Erdisna  , Ganefri  , Ridwan  , Novita Rice , Wanayumini  
Published: December 2019

Abstract
This article aims to develop an expert-based interest-based measurement model to provide an overview of the interests that can assist in decision making of vocational interest decisions in the vocational field to be on the right target. The method used by designing vocational interest measurement instrument by producing four personality types used as knowledge base is Tangible, Thinking, Flexible and Entrepreneur (TTFE) and integrated with expert system concept which makes a practical and efficient measurement model. The generated interest measurement model can help students quickly to overview the interest in decision making majors for higher education, can conduct online consultation, documentation, and can be used as a documentation file consultation portal at an institution.
Interactive Map Model of Flat Design for Istano Basa Pagaruyung Tourism Development
Authors: Wiraseptya T , Imani R , Afdhal M , Yanto H 
Published: December 2019

Abstract
The power in conveying messages to communicants is a form of active media. There are many things and forms of media that developed in the digital era today. Of course, the development of the media to be more friendly and close to the community will make it easier to convey the message. The media is also the most important part of supporting the tourism sector. Especially in the cultural tourism sector that we are familiar with cultural heritage or historical heritage. one of them is the Rumah Gadang Istano Basa as a historical heritage of West Sumatra. The map that is part of the sign system is certainly very needed for visitors. A flat design that is appealing in a way that will certainly help increase the interest of visitors, especially this makes it easier to share information through digital technology such as smartphones. This map design method will adapt to the Waterfall design method created by Pahl and Beitz. In the design process, it will go through the requirements analysis, design, implementation, integration testing and ending with maintenance. Of course, the design of maps that use this digital application must follow a structured stage of the Waterfall method. Then, the design which becomes an important point in this design is the concept of infographics that is clear and has the power in readability.
Strengthening character education with the implementation of machine learning in the millennial era industrial revolution 4.0
Authors: Ilhami Arsyah Ulya , Husna Arsyah Rahmatul , Pratiwi Mutiana , Lestari Novia 
Published: December 2019

Abstract
Education is a part that cannot be separated from human life. There is a relationship between education and prosperity and patterns of human life. In the context of human life, education has a significant role in aspects of social, economic, environmental, political and security safeguards. In terms of welfare, education has a large influence. One education actor who plays a very important role is the teacher, who will teach and become an example for his students. And things that should not be eroded by the development of the age are the cultivation of good character in educating students, including those that must be prevented are acts of violence against students maybe it can happen in the world of education, either by the teacher or fellow students. In this study a web-based Expert System will be designed using the Forward Chaining method. Forward Chaining is a search method or a forward tracking technique with information and merging rules to produce conclusions. With this system the teachers can conduct online consultations that will be applied in machine learning in the learning process, so that the teachers can find out whether their actions in the teaching and learning process are in accordance with the ethics of an educator.
Expert System and Rule-Based Knowledge Based in Analyzing Vitamin Deficiency in the Human Body
Authors: Hartika Zain Ruri , Rahmawati Elmi 
Published: December 2019

Abstract
Along with the development of information technology, which has made use of artificial intelligence technology including expert systems. Where the Expert System contains the knowledge and experience and expertise of a person entered by one or many experts into a particular knowledge area so that everyone can use it to solve specific problems, in this case it is a problem in analyzing vitamin deficiencies in the human body. Without vitamins, humans will not be able to carry out living activities and lack of vitamins can cause an increase in the chances of getting disease in our body. With the existence of an expert system, it will be able to analyze the symptoms of vitamin deficiencies in the human body so that they are dealt with effectively and efficiently.
University Student Satisfaction Analysis on Academic Services by Using Decision Tree C4.5 Algorithm (Case Study : Universitas Putra Indonesia “YPTK” Padang)
Authors: Aldi Febri , Ade Rahma Anita 
Published: December 2019

Abstract
Satisfaction is a dynamic process which can affect many things. Satisfaction can be achieved from many aspects. In higher education, student as a main customer and consumer of the university which has big role in growth of the university needs to be satisfied. Student satisfaction will have an impact to the sustainibility of the university. Where satisfaction generally gotten from the services given by the university. This research focus on academic services by the university. Attributes of service quality such as tangibles, reliability, responsiveness, assurance, empathy and information system (as a new additional attribute which is rarely analyzed) are used to measure student satisfaction level. Data has been collected by distributing questionnaires to 100 UPI YPTK Padang students and then processed with decision tree c4.5 algorithm. The result revealed 82 students were satisfied and the remaining 18 students were dissatisfied. Moreover, 95% accuracy algorithm is obtained and categorized as very good classification.
Model of Artificial Neural Networks in Predictions of Corn Productivity in an Effort to Overcome Imports in Indonesia
Authors: Wanto Anjar , Hartama Dedy , Widi Bhawika Gita , Chikmawati Zulifah , Sukrisna Hutauruk Deswidya , Hotria Siregar Pinondang , Fredrik Marpaung Ricard , Efendi Salim , Gultom Imeldawaty , Perdana Windarto Agus 
Published: December 2019

Abstract
Indonesian people still consume a lot of corn as a staple food. Corn productivity based on data from the Indonesian Central Bureau of Statistics from 2005 to 2015 is not stable. Therefore this study was conducted to determine the right prediction model to see the level of corn productivity in Indonesia for the coming year, with the hope that the government has a reference to continue to work to improve corn productivity to remain stable in order to meet the needs and minimize corn imports. This study uses data on corn productivity in 2005-2015 sourced from the Indonesian Central Bureau of Statistics. The algorithm used to determine the prediction model is the Backpropagation artificial neural network. This algorithm is able to predict times series data. Based on this algorithm, the training and testing process is carried out using 5 network architecture models, namely 5-25-1, 5-43-1, 5-76-1, 5-78-1 and 7-128-1. The best architecture obtained from the 5 models is 5-25-1 with 88% accuracy percentage and MSE value 0, 00992433.
Exploring the Practice of Teacher-Students’ Classroom Interaction in Speaking Subject at Higher Education
Authors: Ngatmini  , Rustono  , Subyantoro  , Mulyani Mimi 
Published: December 2019

Abstract
This study aims at formulating the teaching and learning’s interactional patterns on speaking subjects in universities.This is qualitative study which applied a realistic ethnographic approach. The data were the lecturers and students’ speech fragments on learning and teaching speaking skills. The instruments were technically obtained from observation using video recording. The data sources were the lecturers and students’ speech fragment at four different specific higher education (HE), the data were further labelled as HE-1, HE-2, HE-4 and HE-3. The data analysis followed Miles and Huberman’s interactive models. The results showed that the teaching-learning interactional patterns of speaking subjects at four specific universities remains dominantly controlled by the lecturers. In the HE-1, the lecturers were found speaking more actively than students (TTT) whereas in HE-3 & HE-4, students were given more speaking opportunities (STT), where this has led affecting the students’ achievement and optimal learning objectives. The interactions were mainly occured at the time the students construct both their experience and knowledge with the received information. Lecturers at both universities have not been able to facilitate students to developing and expressing their ideas. Among the compared higher education of HE-1, HE-2, HE-3 & HE-4, the learning and teaching interactional patterns at the speaking subjects’ implementation were directed towards constructivism. Through generative learning strategy, there were found elements which reflect each step of the strategies, although at an early stage. It is necessary to develop varied learning models which engage students’ active participation. In addition, there should be an understanding towards the concept of students’ classroom interactional competence.
Active learning in scientific writing skill using Indonesian textbook based on character education
Authors: Slamet St. Y. , Winarni R , Hartono  
Published: December 2019

Abstract
The purpose of this study was to describe development of text-based and character-based Indonesian textbook model. The method was research and development which consists of four stages, they are: (1) Exploration, (2) Model Development, (3) Model Testing, and (4) Disemination. The research approach in the exploration stage was qualitative descriptive approach. Data collection was done through in-depth interviews, observation, documentation, and questionnaires. Data analysis technique was done by interactive analysis model. Experimental research was done in the model testing stage. The results of this study: (1) exploration stage showed that the Indonesian textbooks used in UNS, UMS, and UNISRI Surakarta, have not been in accordance with the needs of students and lecturers, (2) model development stage produced a character-based scientific writing textbook through preliminary field testing; and (3) the effectiveness testing showed that the value of t obtained was 0.17 which then compared with the value of t table (with N = 90, α = 0.05) pointing 1.64. Thus, the t-obtained (0.17) > t-table (1.64), the hypothesis was accepted (Ho was rejected) and the textbook was stated significant. This means that the text-based and character-based Indonesian textbook was effective to improve scientific writing skills.
Lexical and Grammatical Cohesions in the Students’ Essay Writing as the English Productive skills
Authors: Tenri Ampa Andi , Muhammad Basri D 
Published: December 2019

Abstract
For the purpose of achieving a good essay writing, the students need to have capability to use the lexical and grammatical cohesions. This research aimed to describe the lexical and grammatical cohesions used by the students in writing essays at Makassar Muhammadiyah University. The research samples consisted of 91 students’ esssays from the English Education Department of FKIP Unismuh Makassar. The research used a writing test as an instrument to collect data. To achieve the aim of the research, a mixed method was used to describe the results of data analysis quatitatively and qualitatively. The results of the research revealed the use of lexical cohesion which included the use of repetition, synonym, hyponym, antonym, meronym, general noun, and collocation. From the seven kinds of lexical cohesion used by the students in writing essays, the general noun was mostly used by the students. Futhermore, grammatical cohesion revealed the use of reference, substitution, ellipsis, and conjunction. Among them, the reference as a cohesion mark was mostly used by the students. The implication of the research results might be used significantly as the base for developing learning materials in teaching writing as one of the English productive skills.
The Reseptive and Productive Learning Models Based on Folktales for Learning Indonesian as a Foreign Language
Authors: Wardani NE , Ulya C 
Published: December 2019

Abstract
This research is intended to describe and explain reseptive and productive learning models based on folktales for Learning Indonesian as a Foreign Language (Bahasa Indonesia untuk Penutur Asing/BIPA). The research method used here is the qualitative descriptive method, using the content analysis technique. Data was collected from observation implementation of learning with the reseptive and productive models in the class, Indonesian students as a Foreign Language, and documents. The validity of data was verified through the triangulation method. Data analysis used the interactive analysis technique pioneered by Miles and Hubermann. The research results indicate that the appropriate learning model for introducing folktales to Learning Indonesian as a Foreign Language students is the receptive and productive models, which can be applied to improve the four language skills. The four language skills include listening, reading, speaking, and writing. The receptive learning model consists of the interest stage, enjoyment stage, and response stage. The productive learning model consists of writing stories, writing simple drama script, and roleplaying. This learning model consists of several methods through which foreign students can learn Indonesian actively, creatively, and enjoyably.
Towards Data-driven Education with Learning Analytics for Educator 4.0
Authors: Mokhtar Salimah , Alshboul Jawad A. Q. , Shahin Ghassan O. A. 
Published: December 2019

Abstract
Learning analytics has not been extensively used yet as necessary tools in the management and operation of public universities in Malaysia. Massive amount of data been created and collected on students at the faculty but mostly remain dark and unexplored. Generating many reports, having lots of alerts or dashboards does not make a faculty data-driven. To be smart, a faculty must utilize technology to enable and support better planning and decision-making, and to be data-driven, a faculty must have analytics to drive actions for value. This paper intends to explore the impact of IR 4.0 in the field of education and research into the possibility on how a university or a faculty can adapt to IR 4.0 and function in the big data environment. It will present the concept of Education 4.0, data-driven education and learning analytics. To transform, universities must rethink the current teaching practices and then redesign learning to suit future demand. This is discuss next. Finally, it summarizes the roles that educators 4.0 should play in Education 4.0.
How online media and technology innovation influence consumer’s purchase intention
Authors: Rizki Mulyani Sitti , Widian Sari Marta , Nila Sari Vivi , Navia Rani Larissa , Syahrullah Ekajaya Darma 
Published: December 2019

Abstract
This research experiment is to know how online media and technology innovation influence consumer’s purchase intention. The sample of this research were the students of UPI “yptk” Padang who followed the @ Indonesia.Jersey Instagram. There were 100 respondents. The result of the research had the positive and significant influence of online media and technology innovation toward the consumer’s purchase intention. This research has contributed to increase sales with online marketing.
Exploring interaction’s quality attributes at Mobile Government services
Authors: Jaafar Mohamed Abdulla , Khalit Bin Othman Mohd , Binti Hamid Suraya , Hussein Zolait Ali , Ahmad Kassim Norliya binti 
Published: December 2019

AbstractPopularity of smart devices among people leads organizations from different sectors to extend the channels of service delivery to maximize total beneficiaries. Mobile Government is one of these extended channels that use nowadays by government sector to allow end users performing the transactions with less time and efforts. Main features of mobile government services are the mobility which enables the public to perform their transactions online at anywhere and anytime. Dealing with smart devices for online services has limitations that need to be considering by the service provider to be sure that the delivered services meet the end users’ perspective. To measure satisfaction of m-government services, it required a compatible measurement scale that fits with the environment of such services. Using other S.Q. measurement’s scale (i.e., e-commerce, e-services, e-government) at the context of m-government leads to difficulties analysis of the service delivery process and inaccurate results. However, there’s a lack of service quality framework at the context of mGovernment services which is important nowadays to construct a compatible and suitable service quality measurement’s scale that must contain quality attributes that reflecting the environment of m-government. From this point, it encourages the researchers at the current paper to analyze the concept of mGovernment S.Q. with particular focusing on “interaction” attribute. This study uses a systematic literature reviews in the related fields of electronic S.Q., human-computer interactions, and mobile government services, which guided the researcher to identify the related sub-dimensions of interaction. Study finds that the sub-dimensions of interactions’ quality are: 1) User control, 2) Synchronicity, 3) Two-way communication, and 4) Responsiveness.
The utilization of learning analytics to develop student engagement model in learning management system
Authors: Nizam Ismail Shahrul , Hamid Suraya , Chiroma Haruna 
Published: December 2019

Abstract
Learning Analytics (LA) is evolving learning into a new era of analyzing student’s participation and engagement in order to gain some insights. The implementation of LA in a university helps the administration and faculty associates to observe the progress of the students alongside their rate of success. The purpose of this study is to develop a student’s engagement model for holistic involvement in the Learning Management System (LMS). The model was developed from an initial model that was derived from the review of literature and existing model of engagement in LMS. The data were collected from the online learning management system of one public University in Malaysia. From the data analysis, it was found that the strong engagement and interaction between the students, lecturers and the content in LMS, led to boost up the usage of the LMS as long as the student participation in the learning environment is accepted, which in return prepared the students to be evaluated anytime. The model that will be developed from this study can help increase the interaction and engagement between lecturers and students in LMS. Unlike the engagement of students in higher education LMS, which has been discussed already in the literature, this research integrated the role of trace data in shaping the learning environment communication and participation of the users.
Digital medical data protection compliance among medical staffs
Authors: Pratimaratri Uning , Ilona Desi , Zaitul  
Published: December 2019

Abstract
The data protection compliance has been discussing among multidiscipline academician and practitioners. However, there is a lack of prior study conducting in Indonesia’s environment. Therefore, this study has a research objective of investigating the effect of perceived ease of use and perceived usefulness on attitude toward data protection policy among medical staff in west Sumatra, Indonesia. Besides, this study also seeks to determine the relationship between attitude toward data protection policy and data protection compliance. Data is gathered through survey and analysed using the SEM-PLS. Smart-Pls is applied by considering the assessment of measurement and structural model. The result shows that there is a positive significant relationship between perceived usefulness and attitude toward data protection policy. This study documents a positive association between attitude toward data protection and data protection compliance. Practically, this study implies that to increase the compliance behaviour among medical staffs, the institution has to increase the attitude toward data protection policy and perceived usefulness. Theoretically, this study contributes to the technology acceptance model.
A Comparative Review of ISMS Implementation Based on ISO 27000 Series in Organizations of Different Business Sectors
Authors: Hamdi Zaidatulnajla , Anir Norman Azah , Nuha Abdul Molok Nurul , Hassandoust Farkhondeh 
Published: December 2019

Abstract
Organizations have different takes on Information Security Management Systems (ISMS) since security measurements vary according to their business relevance. One way to assure ISMS is being well-implemented is by having a standard compliance such as the ISO 27000 series. The ISO 27000 series is a family of standards that provides a framework for best practice ISMS that helps organizations keep their information assets secure. This paper intends to seek how organizations in different business sectors implement ISMS in their practices. By identifying which organization attains a higher number of ISO requirements, it is anticipated that the characteristics that increase the chances of an organization being certified can be distinguished. This paper reviews case studies regarding the ISMS implementation based on ISO 27000 series between organizations in different business sectors. The result of this paper presents the state of ISO compliance of the organizations. The findings also discussed the characteristics of organizations that are applicable for certification. Through the findings, it is found that the organization, which fulfilled the highest number of ISO requirement, has a stronger possibility of being certified. However, ISO standards should be more dynamic to support diverse business environment thus avoiding generalization to get compliance.
The understanding of lecturers about the new literacy in industrial revolution era 4.0: a study case of university of putra indonesia yptk padang
Authors: Dewi Muharika , Retno Sari Yulia , Amna Shally , Rasmita  , Susanti Rina 
Published: December 2019

Abstract
The paper discusses how the understanding of lecturers at University of Putra Indonesia YPTK Padang is related to the new literacy in the Industrial revolution Era 4.0 which is big data literacy, technology literacy, and humanity literacy which have recently been a basis in developing learning in universities and which help to accommodate graduates to be able to compete in the era of globalization. This research is done by qualitative approach, the sample is 35 university of Putra Indonesia lecturers in multi-disciplines. Triangulation is used to collect the data through interview, observation and documentation. Data are analyzed using the procedures proposed by Creswell. The finding explains that the lecturers’ understanding of the new literacy in Industrial revolution era 4.0 are generally low; those are in understanding of big data taxonomy analysis, enough understanding and application of technology taxonomy analysis, and has applied humanity literacy only limited to train critical thinking, creativity, collaboration, and communication yet inapplicable and less focus on enhancing competitive skills in the era of globalization. The research suggests the lecturers to do improvement independently and through campus support. They also need to be more applicable in implementing new literacy in the era of industrial revolution 4.0.