Freedom of opinion through social media is frequently affect a negative impact that spreads hatred. This study aims to automatically detect Indonesian tweets that contain hate speech on Twitter social media. The data used amounted to 4,002 tweets related to politics, religion, ethnicity and race in Indonesia. The application model uses classification methods with machine learning algorithms such as Naïve Bayes, Multi Level Perceptron, AdaBoost Classifier, Decision Tree and Support Vector Machine. The study also compared the performance of the model using SMOTE to overcome imbalanced data. The results show that the Multinomial Naive Bayes algorithm produces the best model with the highest recall value of 93.2% which has an accuracy value of 71.2% for the classification of hate speech. Therefore, the Multinomial Naïve Bayes algorithm without SMOTE is recommended as the model to detect hate speech on social media.
Technological development affect on aspects of education that impact on learning activities. In computer networks learning, there is still rarely media use which has an impact on students’ understanding of how to install computer networks. Current mobile phones have many features that can be used to play games, watch videos, listen to music, personal assistant, find information, GPS, and many more. One of the interesting technologies that can be developed on mobile phones is Augmented Reality. Augmented Reality (AR) is a technology that combines two-dimensional or three-dimensional virtual objects into a real three-dimensional environment and then projects these virtual objects in real time. This research discusses the development of learning media Augmented reality of computer network installation. The purpose of this research is to develop augmented reality learning media and build media that makes it easier for students to understand the process of installing computer networks that becomes an alternative as a learning media. The method used is Research and Development (R&D).
encarian adalah proses pencarian solusi di dalam suatu permasalahan sampai solusi atau tujuan ditemukan, atau pergerakan di state-space untuk mencari lintasan dari initial-state ke goal-state. Dalam sebuah permainan TIC TAC Toe proses pencarian ruang keadaan tidak cukup untuk mengotomasikan tingkah laku pemecahan masalah, pada setiap situasi tersebut hanya terdapat sejumlah pilihan langkah yang terbatas yang boleh dilakukan oleh seorang pemain. Masalah-masalah yang akan dihadapi dapat dipecahkan dengan melakukan pencarian (search) dari antara pilihan-pilihan yang ada, terdukung oleh pandangan cara penyelesaian yang biasa dilakukan. Best First Serach bekerja dengan cara melakukan pencarian pada sebuah Graf Berarah yang setiap simpulnya menggambarkan sebuah titik di dalam suatu ruang problema.
Abstrak : Ilmu kimia termasuk dalam rumpun sains dan merupakan salah satu cabang sains yang mencakup konsep, aturan, hukum, prinsip dan proses. Proses dan pembelajaran kimia dapat menghasilkan manusia yang berkualitas dengan menunjukkan kesadaran kimia dan keterampilan berpikir tingkat tinggi yang dapat memunculkan sumber daya manusia yang mampu berpikir kritis, berpikir kreatif, mengambil keputusan dan memecahkan masalah. Studi ini bertujuan untuk mengetahui pengaruh implementasi bahan ajar kimia umum online terintegrasi media dalam meningkatkan HOTS mahasiswa. Penelitian ini termasuk penelitian kuasi eksperimen dengan menggunakan desain faktorial 2×2. Hasil penelitian menunjukkan bahwa terdapat perbedaan HOTS antara kelompok mahasiswa yang diberi pembelajaran menggunakan bahan ajar kimia umum online terintegrasi media dibandingkan kelompok mahasiswa yang diberi pembelajaran tanpa bahan ajar kimia umum online. Terdapat perbedaan HOTS mahasiswa ditinjau dari kemampuan awalnya yaitu kelompok mahasiswa yang memiliki kemampuan awal tinggi memperoleh nilai HOTS lebih tinggi dibandingkan mahasiswa yang memiliki kemampuan awal rendah. Tidak terdapat interaksi antara pembelajaran dengan kemampuan awal terhadap HOTS mahasiswa. Hal ini sekaligus mengindikasikan bahwa penerapan pembelajaran yang diterapkan dan kemampuan awal yang dimiliki mahasiswa secara terintegrasi tidak berpengaruh signifikan terhadap HOTS mahasiswa. Kata kunci : Bahan Ajar Online, Media, Kimia Umum, Kemampuan Awal, HOTSEnglish translation. Abstract: Chemistry belongs to the science group and is one of the branches of science that includes concepts, rules, laws, principles and processes. Chemical processes and learning can produce qualified humans by demonstrating high-level chemical awareness and thinking skills that can give rise to human resources capable of critical thinking, creative thinking, decision-making and solving problems. This study aims to find out the influence of the implementation of integrated online chemical teaching materials media in improving student HOTS. This research included quasi-experimental research using 2×2 factorial design. The results showed that there was a difference in HOTS between the group of students who were given learning using integrated online general chemistry teaching materials compared to the group of students who were given learning without general chemistry teaching materials online. There is a difference in student HOTS judging from the initial ability, namely the group of students who have high initial ability to get higher HOTS scores than students who have low initial ability. There is no interaction between learning and initial ability for student HOTS. This also indicates that the application of applied learning and the initial abilities possessed by students in an integrated manner have no significant effect on student HOTS. Keywords : Online Teaching Materials, Media, General Chemistry, Initial Ability, HOTS
Big data technology is the overall technology that can handle the processing associated with analyzing the data to explore the potential that is in it. Some of the uses of big data are based on the biggest data traffic sources, such as social media, financial transactions, public data, censorship data, and company data. The problem found in the accumulation of village status data that has not been utilized in the decision-making process to determine the status of the next village and the absence of an application to process the data stored in the data database so that a tool is developed to analyze the buildup. The results of this study are to produce a prototype design that is Unified Modeling Language (UML) design, Form Design, and Database Design that will be used to develop Big Data Technology in determining the classification of village status based on the Village Build index.
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