Search Articles & Publications

Showing 75 articles found for "Classification"

Image Classification of Meat Using Support Vector Machine Method

Yuli Christyono, Sukiswo
Abstract: Meat is one of the essential food ingredients in meeting the nutritional needs. The current problem lies in the consumers' lack of knowledge on how to differentiate between pork, beef, goat, and lamb meat. This is because… e when the meat is already cut, their appearances may seem similar at first glance. Many consumers are unaware of the practice of mixing different types of meat for consumption. One way to classify animal meat is by using image processing. In this research, an image processing system is created to classify meat, specifically pork, beef, goat, and lamb. Support Vector Machine (SVM) is a development of Machine Learning that can be used in classifying images into specific classes. SVM method as a classifier is performed using a confusion matrix. The test results show the highest accuracy value obtained in the class of Goat Meat 91.4%, the highest precision in the class of goat meat 80%, the highest recall in the class of beef 81.3%, and the highest F1-score in the class of beef 0.76.

Preliminary Evaluation of Gaussian Naive Bayes for Multi-Label Hate Speech and Abusive Language Detection on Indonesian Twitter

Handayani, Tri Pratiwi, Hasyim, Wahyudin, Wati, Nursetia
Abstract: Automatic detection of hate speech and abusive language is crucial for combating online toxicity. This study explores Gaussian Naive Bayes for multi-label classification of hate speech on Indonesian Twitter, including target,… rget, category, and level. We combined TF-IDF features with contextual BERT embeddings. The model achieved balanced performance for general hate speech and good non-abusive language detection. However, it exhibited limitations with imbalanced data and specific hate speech types. The classifier consistently favored the majority class (non-hateful/non-abusive) across labels, particularly struggling with HS_Gender, HS_Physical, etc. This suggests difficulty detecting less frequent but potentially severe hate speech, likely due to limited training data. Overall accuracy and F1-scores confirm that while Gaussian Naive Bayes is efficient, it lacks robustness for nuanced multi-label classification with imbalanced datasets. This necessitates exploring alternative approaches for effectively detecting specific and less frequent hate speech.

Klasifikasi, Fungsi, dan Relevansi Metode Pembelajaran PAI

Fikriyah, Shofiatul, Nafisa Ega Nuzula2
Abstract: The educational curriculum continues to change and adapt as time goes by. Learning methods as an element in the curriculum also need to be developed so that they can always be relevant. Therefore, in this research the author… thor wants to examine the classification, function and relevance of Pendidikan Agama Islam (PAI) learning methods. The results of this research state that the classification of learning methods is a grouping of methods used by teachers to interact with students so that the learning process can run effectively. Several other things that were also studied in this research include the classification of learning methods in general, namely conventional and unconventional learning methods along with their functions and the relevance of these learning methods in PAI subjects according to their time (orde lama, orde baru, and reformasi).

The Effect Of Using Scattergories Learning Media On English Learning Outcomes Of Students In ClassV State Elementary School 098166 Perumnas 2025/2026 Academic Year

Haway Velita Sinaga, Imelda Sabrina Sibarani, Asister Fernando Siagian
Abstract: This research is focused on the effect of the use of scattergories learning media on the English learning outcomes of grade V students of SD Negeri 098166 Perumnas T.P 2025/2026. The purpose of this study is to determine… the significant influence of the use of Scattergories learning media on the English learning outcomes of grade V students of SD Negeri 098166 Perumnas T.A 2025/2026.This researcher used a quantitative method with a pre-test-post-test one group design. The sample consisted of 24 students. Data was collected through pre-tests and post-tests in the form of written tests and analyzed using t-test formulas and N-gain tests. Based on the data, it was found that mastery of vocabulary in English and English learning outcomes were better after using scattergories learning media. This can be seen from the average score before treatment, which is 25.6 with the low category, after the treatment, which is 86 with the high category. Then there was a significant influence after using scattergories learning media on the English learning outcomes of grade V students of SD Negeri 098166 Perumnas. Based on the calculation of the N-gain test, the researcher found that  the N-Gain test  showed a value criterion of 0.7979 categorized as high classification.

The Philosophy Of Knowledge And The Development Of Science And Technology As The Foundation Of Islamic Education

Herman Darmawan
Abstract: The question that is most often raised is how science can become the basis for every development of civilization. With this, civilization can be supported by every theory put forward systematically which is embedded in science,… cience, and all of this also has an impact on the development of science and technology. Therefore, this study tries to explore issues regarding the nature of science and the development of science and technology along with their influence on contemporary developments under the pretext of being able to restore understanding of science and the development of science and technology. This science is divided into several discussion sections, including nature, function, object, source, truth tester and classification. The development of science and technology includes understanding, influence, ethical responsibility for the use of technology and its influence on Islamic education and how Islamic education responds to developments in science and technology