Edumatic: Jurnal Pendidikan Informatika
EISSN : 2549-7472
Published by: Universitas Hamzanwadi (10.29408)
Total articles ≅ 75
Latest articles in this journal
Edumatic: Jurnal Pendidikan Informatika, Volume 4, pp 155-163; doi:10.29408/edumatic.v4i2.2686
The development of increasingly sophisticated medical science and technology has an impact on the development of science and technology in the field of medical-devices. One of the existing equipment and is often used in hospitals, one of which is an IV. Currently in the world of health, infusion is still controlled manually. Because it takes time if the nurse has to go back and forth throughout the patient room. Not only is it time consuming, but there will be risks if it is too late to treat a patient whose infusion has run out. Technology needs to be used to minimize risks in the medical world, one of which is the application of IoT technology. This study aims to make it easier for nurses to control infusion conditions in real time using the concept of IoT ( the Internet of Things). The method used is the Waterfall method. This research uses hardware consisting of Load Cell with the HX711 module as a weight sensor, NodeMCU V3 as a processor, and Thingspeak Web server as the interface with the user. The results of the measurement of the tool made have an error of 0.25 Gram, sending data to the Thingspeak.com Server requires a good connection for maximum results.
Edumatic: Jurnal Pendidikan Informatika, Volume 4, pp 164-171; doi:10.29408/edumatic.v4i2.2688
RapidMiner is an application that is used to analyze data quantities and qualitatively to obtain information and knowledge as expected. This software is implemented to process data using several methods or algorithms in Data Minig learning. However, when using this software, users sometimes cannot distinguish between various methods or algorithms in Data Mining. Therefore, it is necessary to evaluate to optimize the use of this software in data mining learning. This study focuses on RapidMiner evaluation of data mining learning using the Persiva model. This model consists of aspects of satisfaction, behavior, impact, and effectiveness. The data collection technique was in the form of a questionnaire with 48 subjects. Data analysis used is descriptive statistics to determine satisfaction, behavior and effects. Meanwhile, Think-Aloud Retrospective technique is used to determine the effectiveness of RapidMiner. Our findings show that users are satisfied with the results of respondents on average agreeing (80%), in the aspect of behavior and impact, the percentage results are above 80%, and the use of this application has been effective with a completion rate above 90%. So it can be concluded that by using this application in data mining learning users can easily complete tasks, and be motivated, and add insights and knowledge in relevant disciplines.
Edumatic: Jurnal Pendidikan Informatika, Volume 4, pp 10-19; doi:10.29408/edumatic.v4i2.2249
The use of Information Technology (IT) frameworks from year to year in Indonesia has shown an increase. However, there is not much research on the use of IT frameworks. The research on IT frameworks can be used by a company to analyze trends in the use of frameworks in Indonesia. That way, it can help a company consider choosing a framework to use. The IT frameworks discussed in this study are COBIT, ITIL, and ISO 27001. Data related to research IT frameworks taken in the 2014-2018 period. Data collection through the Google Scholar web search engine using the Publish or Perish software. The data obtained were analyzed using descriptive quantitative methods. The results of this study can use to determine the use of the IT framework in Indonesia. The amount of raw data obtained from the data collection process was 5,708 data with Authors, Title, Years, and Publisher variables. Research data on titles and keywords obtained in the Indonesian domain amounted to 754 and overseas amounted to 194. From the research results, it can conclude that the most widely used framework is the COBIT framework, with a percentage of 69.3% in the Indonesian and 58.7% in the foreign domain.
Edumatic: Jurnal Pendidikan Informatika, Volume 4, pp 85-94; doi:10.29408/edumatic.v4i2.2631
Rubber auction cooperatives are cooperatives whose main function is to auction rubber agricultural products for these member communities. Currently, among the problems that exist in the auction process, namely: first, auction entrants must come to the auction site even if only to bid a price. Second, the auction administration process has redundant of entrant data due to having to fill out a form every time they participate in the auction. From these two problems, this research will conduct application development as an auction medium for related parties. The application developed is a mobile-based application so that it can be accessed easily by all parties. The method used in the development process is the adaptive software-development method with three major stages of speculation, collaboration, and learning which was tested using black box testing. The Research Results are an application with the main feature of conducting the auction process from the cooperative's side, and auction participants can bid prices through the application. The application developed also functions properly in accordance with existing features as evidenced by the results of application testing using the black box technique so that it can help the rubber auction process for related parties.
Edumatic: Jurnal Pendidikan Informatika, Volume 4, pp 50-57; doi:10.29408/edumatic.v4i2.2453
Arabic is the main language of Al-Quran. Nowadays, many people are studying the Language of Al-Quran, called Quran Arabic. For the beginners, it is important for them to understand the syntactic relationship in a sentence found in the Qur'an. If they do not understand enough, the interpretation will be different and wrong. It will turn into dangerous because Al-Quran is a source of guidance for Muslims’ life. Dependency parsing is very important for linguistic research, especially for rich languages such as the Arabic Language. This study aims to build dependency parsing, in order to make it easier to get to understand syntactic relationship information in sentences. This study uses a parsing method called deterministic parsing, which the method used is shift-reduce parsing with the Easy-First parsing algorithm. The evaluation used labeled attachment score calculation. The score generated from the evaluation was 69.7, beforehand, the comparison both the system results and the gold standard have been done. 62 sentences found the correct head and relation in each word. The number of words found to be wrong is not more than 3 words in one sentence. Evaluation scores produced are not exorbitant due to the complicated tagset used and lacking test sentences.
Edumatic: Jurnal Pendidikan Informatika, Volume 4, pp 112-119; doi:10.29408/edumatic.v4i2.2469
Student diversity is one of the demographic advantages of education. One type of diversity is the registration in higher education students with special needs. For this purpose, teachers as educators are expected to be able to provide all students with adaptive teaching. Although the number of students with special needs is still a minority, educators still need to provide full education for them. Appropriate teaching can be achieved with the use of information technology, in particular the Internet. The use of the Internet as a support for classroom activities can be realized in a blended learning model. However, for each model to be used, an analysis study needs to be performed in order to have optimum results. The purpose of this study is to recognize needs and to obtain information on a blended learning model for deaf students in higher education. Needs analysis is carried out by means of a survey approach using a questionnaire provided to deaf students. The data were analyzed descriptively. The results have shown that deaf students meet the criteria for the development of a mixed learning model. Based on the study, it was concluded that the blended learning model can be applied to deaf students.
Edumatic: Jurnal Pendidikan Informatika, Volume 4, pp 95-102; doi:10.29408/edumatic.v4i2.2634
Information and computer technology (ICT) is currently being used in all fields, including education. One of the uses of ICT in the field of education is for learning media and learning resources that can be used by teachers. This study aims to determine the extent to which the competence or ability of teachers, especially in ICT subjects, in utilizing ICT both as a medium of learning and a learning resource. The use of ICT is carried out to make it easier for teachers to implement the learning process. The research method used is descriptive with a survey form. The data collection tools used were questionnaires and interviews. The data analysis technique used is quantitative-descriptive to process questionnaire data and qualitative-descriptive to process interview data. Based on the data obtained, the use of ICT as a Learning Media and Learning Resources by Equivalent High School teachers in East Bunguran District, Natuna Regency is at a percentage above 80% with a high category. This shows that the teacher's ability to use ICT is very good. The learning media is majority often used are presentation processing applications and projectors. Meanwhile, the most widely used learning resource is the Internet.
Edumatic: Jurnal Pendidikan Informatika, Volume 4, pp 146-154; doi:10.29408/edumatic.v4i2.2683
Inductive-reasoning is a step to draw general conclusions from individual matters. IR can be measured using the Intelligent Structure (IST) sub-ZR using a number pattern and using an Inductive Reasoning Test (IRT), which is an image pattern. One of the learning methods that are interesting and fun and student-cantered learning is Educational Game media. This study aims to see the effectiveness of games in learning to improve the students' inductive thinking skills at SMP YKPP Sungai Pakning. This study used a pre-experimental method with one group pretest-posttest conducted on 30 students of class IX B as the experimental subject. The data collection technique was implemented using a test instrument in 20 essay questions for IST and 30 objective questions for IRT. The material used in this game has also passed the validation stage carried out by a psychologist in Pekanbaru. Data were analyzed using the T-Test and score gain. Based on the study results, this game is believed to be 95% effective in improving adolescent inductive thinking skills, with an average increase of 26.6 points in the IST form and 17.8 points in the IRT form. Learning media with games are effectively applied to inductive-learning and can be used as an alternative to learning inductive-thinking at SMP YKPP Sungai Pakning.
Edumatic: Jurnal Pendidikan Informatika, Volume 4, pp 1-9; doi:10.29408/edumatic.v4i2.2202
Classification is one of the techniques that exist in data mining and is useful for grouping a data based on the attachment of the data with the sample data. The dataset that is used in this study is the coffee dataset taken from Dataset Coffee Quality Institute on the GitHub platform. The attributes that contained in the dataset are Aroma, Aftertaste, Flavor, Acidity, Balance, Body, Uniformity, Sweetness, Clean Cup, and Copper points. There are 3 classification methods that are used in this study, Stochastic Gradient Descent, Random Forest and Naive Bayes. The aim of this study is to find out which algorithm is the most effective to predict the coffee quality in the dataset. After that, the prediction results will be tested using K-Fold Cross Validation and Area Under the Curve (AUC) method. The results show that Stochastic Gradient Descent obtained the best accuracy results compared to the other two methods with an accuracy of 98% and increased to 99% after tested using K-fold Cross Validation and AUC method.
Edumatic: Jurnal Pendidikan Informatika, Volume 4, pp 68-74; doi:10.29408/edumatic.v4i2.2551
Name disambiguation is the problem solving process to find similar names in sentences. The ambiguity of names can be found in hadith of Sahih Bukhari, names "Abdullah bin Amru" in hadiths no 27 and “Abdullah bin Amru” in hadith no 58, These names are the same, but there is no proof they are the same person. This problem is the early indication of ambiguity of name in the hadith. Based in this problem, this research aims to find name disambiguation of hadith narrators with classification by considering the perawi chain. To solved this problem the authors used Word Sense Disambiguation (WSD), WSD is a process to assign the same meaning from the sentences, based on the context in which the word appears. To classify several names in the hadith, the authors used KNN algorithm, by combining the WSD and KNN method can reduce the ambiguity of names in hadith. The data used in this study came from the hadith of Sahih Bukhori through the pre-processing stage. After conducting the research showed a collection of hadith numbers with the same name prediction with an accuracy of 99% at k = 1. Thus, this method can be used for name disambiguation.