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High School aims to create graduates who are qualified and have competitiveness in entering the lecture bench. To achieve these objectives the students are obliged to follow the learning process for 3 years. During the learning process the teachers give assignments to students. This activity is performed to determine whether the material presented...
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... In this era of globalization, Information Technology and Computers are crucial tools that individuals must grasp to avoid falling behind. The facilities are easily accessible due to the rapid growth of information technology [3]- [7]. This has been a motivating factor for educators in Indonesia to spread Information Technology and Computer education [6], [8], [9]. ...
... Sentiment analysis is an automated approach for understanding and processing textual data to extract sentiment information from an opinion sentence [1], [2]. Text mining and natural language processing are often used in conjunction with sentiment analysis (opinion mining) research to evaluate a product [3]. ...
Sentiment analysis is a way to automatically understand and process text data to figure out how someone feels about an opinion sentence. If there are too many reviews, it will take a lot of time and they will start to be biased. Sentiment classification tries to solve this problem by putting user reviews into groups based on whether they are positive, negative, or neutral. The dataset comes from Drone Emprit Academic. It is made up of tweets with the words "online learning method" in them, with as many as 4887 data crawled from them. Information Gain and adaboost on the C4.5 (FS+C4.5) method are used in the feature selection method. We use feature options to get rid of bias and improve accuracy. The results of the experiments will be compared to other algorithms like C4.5 and random forest. Based on the results, the accuracy of the two standard decision tree models (C4.5 and random forest) went up from 48.21% and 50.35% to 94.47 %. The value of how accurate it was went up by 44 percent. The FS+C4.5 model, on the other hand, has an RMSE of 0.204 and a correlation of 0.944. So, adding the feature selection technique to the sentiment analysis of bold learning education can make the C4.5 algorithm even more accurate © 2023 Syamsu Rijal et al; published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License
... Aktivitas mengajar merupakan upaya guru dalam menyampaikan pengetahuan serta menciptakan jalinan komunikasi yang baik antara siswa dengan guru. Dengan aplikasi media pembelajaran dapat meningkatkan efektifitas proses belajar dan mengajar [10]. Pemanfaatan sistem pembelajaran daring merupakan salah satu upaya yang bisa dilakukan untuk mengatasi permasalahan dan memudahkan siswa mengakses materi pembelajaran [11]. ...
This study aims to design a learning media application for assignment collection and delivery of material online using the Cooperative Learning method. Based on the results of the survey conducted, it was found that some students experienced difficulties in receiving lessons and also in collecting assignments if they were unable to attend school, so that teachers also had difficulty in recapitulating student scores because they had to work repeatedly. The system to be built is an e-task application, which is an application regarding web-based student assignments using the PHP programming language, and using the MYSQL database and the Cooperative Learning method based on visible facts. The research method uses the waterfall model with the Unified Modeling Language (UML) design tool. The results of the study are in the form of learning media applications that can facilitate the work of teachers and students in carrying out the learning process in finding more detailed and accurate information.
... Internet merupakan jaringan komputer secara global yang dapat menghubungkan seluruh pengguna komputer dengan jaringan ke seluruh dunia untuk melakukan penggalian dan pertukaran informasi secara tepat dan akurat [3]. Teknologi informasi ini diperlukan perusahaan untuk meningkatkan kinerja [4]. ...
The purpose of building an information system for Bulk Cement Ordering at PT Sumber Niaga Interindo is to facilitate bulk cement ordering, provide reports that can be stored in the information system with a database and the driver will be assisted in locating locations with the Map feature. The problem that the authors found was that ordering bulk cement was still done manually, such as by telephone, sms and via other social media, reports that were not compiled, and the difficulty of the driver in finding a new ordering location or had never been visited by the driver. For data collection methods carried out is by conducting interviews and literature studies, and the software development method used is the SDLC (System Development Life Cycle) method, namely warterfall, while the tools used in designing this application are unified modeling language and this application was built using web-based PHP programming language. The final result of this research is the creation of Bulk Cement Ordering Information System at PT. Sumber Niaga Interindo based on Webgis which can speed up or simplify the process of ordering bulk cement, reports that are automatically generated by the system after placing the order and overcoming the difficulty of the driver in finding the location of the order.
... Metode yang digunakan dalam penelitian ini adalah metode SDLC yaitu Siklus Hidup Pengembangan Sistem atau Siklus Hidup Sistem dalam rekayasa sistem dan rekayasa perangkat lunak, yang merupakan proses pembuatan dan pengubahan sistem serta model dan metodologi yang digunakan untuk mengembangkan sistem-sistem perangkat lunak sebelumnya dengan menggunakan Model Waterfall atau sering juga disebut sekuensial linier (sequential linier) atau alur hidup klasik (classic life cycle) [11]. Model air terjun menyediakan pendekatan alur hidup perangkat lunak secara sekuensial atau terurut dimulai dari analisis, desain, pengodean, pengujian dan tahap pendukung (support) [12]. Model waterfall dapat kita lihat Gambar1. ...
The development of the world of education at this time cannot be separated from the development of science and technology, so that many learning methods have emerged in the form of applications. Lack of student interest in learning Japanese, underlies the application of Japanese language learning. The purpose of this research is that students are given information in written form or Japanese characters and vocabulary in Japanese learning applications, so that students' interest in taking Japanese language learning will increase. The method used in this research is SDLC (System Development Life Cycle) with the Waterfall model. The Waterfall model provides a sequential or sequential approach to the software life flow starting from the analysis, design, coding, testing and support stages. The result of this research is to build an Android-based Japanese learning application, which explains specifically about Japanese basic words, such as nouns, adjectives, verbs, sentences and quizzes.Keywords: The aplication, Kana (hiragana and katakana) and Android
... Pada penelitian ini penulis menggunakan konsep dasar pengembangan sistem SDLC dan digambarkan dengan alat bantu perancangan sistem UML. UML merupakan perkakas utama untuk analisis dan perancangan sistem berorientasi objek [17]. Aliran sistem yang dirancang digambarkan dengan perancangan global yaitu Use Case Diagram. ...
At present, there are still many colleges that use Teacher Center Learning (TCL) based learning models. And this has resulted in the low interest of students in following the learning process. The result of the above problem is the decline in student learning outcomes. This study aims to develop a learning media based on Student Center Learning (SCL), by using an E-Task application that can improve students' results and independence in Information Systems Project Management subjects. Where in this case the student will use the E-Task application in working on assignments given by Lecturers independently or in groups, so that in terms of increasing student independence. This research uses the basic concept of system development life cycle (SDLC) system development which is described by the UML system design tool. The designed system flow is illustrated by global design, namely Use Case Diagram. The final result of this research is an E-Task application that is designed attractively so that students are expected to be able to independently carry out their duties and give their assignments to Lecturers anywhere and anytime. With this application students are able to actively work together, so that assignments given to students can be completed quickly, and this application can improve student learning outcomes.
With the increasing breadth and sophistication of cyber threats, machine learning must be integrated into cybersecurity. This study uses a bibliometric analysis on 427 documents from 2019 to 2023 to pinpoint current trends in machine learning applications for cybersecurity. An exponential 96.55 percent yearly growth in publications is shown by our analysis of data from the SCOPUS database, indicating a spike in research activity. We identify eminent journals like IEEE Access that are leading the way in dissemination, and active contributors like Sarker IH. Key research themes, including malware detection, Internet of Things ecosystems, network security, and model accuracy optimization, are revealed through the examination of keywords and semantic topics. The adoption of deep learning is a sign of technological progress. According to our findings, machine learning integration is widely used in cybersecurity for tasks like threat intelligence and infrastructure monitoring, to name just two. Availability improvements are still given priority by reliable automation. Due to the increase in cyber threats, machine learning is becoming a necessary skill rather than an add-on. This research sheds light on the groundbreaking findings and exponential trajectory that are transforming machine learning's application in cybersecurity. Machine learning is ushered into a new era of intelligent and flexible cyber defense systems, which implies that sustained innovation through international cooperation will be crucial. Our timely bibliometric analysis establishes a framework for future cybersecurity and machine learning research, as well as for technological advancement.
Genius hour is a movement that allows students to discover their interests and encourages
creativity in the classroom environment. The roots of the genius hour are based on the fact that
international technology companies leave 20 percent of their working time free to work in their
areas of interest to increase the creativity of their employees.
Employees develop various projects in their areas of interest and interests. Later, it was adapted
to the classroom environment by Juliani as inquiry-based and project-based learning. Unlike
project-based learning, students need to discover their inner world and interests rather than
academic gain. Students who discover their interests also have the opportunity to discover their
learning styles. It contributes to the development of many other skills as well as the ability to
think scientifically and prepare projects.
In the process, what students work, how they work, and what they produce or create as a result
is controlled by the teacher. Teachers, who are in a guiding position, encourage the development
of creativity and self-learning in the work that students will do within their interests. Here, the
guidance of the teachers is mainly based on student interests, background information, and
learning interests. When the implementation process is examined, teachers allocate one lesson
or one hour per week.
On the other hand, they teach with a distribution where 80 percent of the time is based on
traditional standards and 20 percent is student-focused. In both forms of practice, students have
the opportunity to research areas of interest and curiosity. In science education, students must
learn by researching the topics that are of interest to them according to their learning style.
Especially, each of the questions that occur in the minds of the students during the lesson can
be a Genius hour project to improve the science education lessons. For example, considering a
solar system and beyond unit, students can be expected to develop different interests and
different projects.
