One of the arts in Surakarta culture is batik cloth. A batik is a form of heritage from the nation's ancestors whose manufacturing process must use specific tools and materials. Surakarta's typical batik has many patterns and motifs, such as Sawat, Satriomanah, and Semenrante. The pattern is a picture framework whose results will display the type of batik. A batik may resemble one type and another, so a classification technique is needed to determine the type of batik. This study aims to develop a classification method for batik cloth using the Naïve Bayes classification technique. The feature extraction used is the Gray Level Co-Occurrence Matrix (GLCM) to obtain texture values in each image. The stages in this research include pre-processing, feature extraction, classification, and testing. The training data in this study were 200 images for each Sawat, Satriomanah, and Sementrante class obtained from the data augmentation method by flipping, zooming, cropping, shifting, and changing the brightness of the images. The total sample data is 600 images. The amount of training data and data testing was divided three times (60% training and 40% testing), (70% training and 30% testing), and (80% training and 20% testing) for accuracy. In this study, the Naïve Bayes method using WEKA 3.8.6 tools obtained the best accuracy of 97.22% using a 70% percentage split compared to using 80% and 60% percentage splits with a result of 96.66%, this difference occurs due to differences in training data and test data. The results of this study indicate that the Naïve Bayes method can be used to classify batik cloth patterns based on texture feature extraction.
Coronavirus Disease (COVID-19) is a new virus variant that emerged in 2019. The World Health Organization (WHO) states that 394,381,395 people have been infected with COVID-19, and 5,735,178 have died. This epidemic has been found in Indonesia since March 2020. New cases in Indonesia are still increasing every day as a whole. The Government as a policy has imposed a policy on anyone who will be required to wear a mask and also carry out physical distancing so that they can work without the maker being exposed to the virus. In the midst of a pandemic, the use of masks has increased to prevent transmission. Various types of masks are easy to find, but not all masks are recommended to avoid transmission. Among them are the N-95 masks, which are recommended to prevent transmission. This application uses the haar cascade and naive bayes methods. The pycharm edition 2021.2 tools and python 3.8 are the detection systems used in this mask. The haar cascade method is also used in detecting objects with masks or not and naive Bayes, which is used as an accuracy calculation. This study uses a dataset of 1092, which is divided into 192 positive images and 900 negative images. Accuracy results using the haar cascade method are 100% more accurate, while the nave Bayes method is 76.6% less accurate.
Batik is a work of art from Indonesia that has many types and pattern. One of the batik producing areas is Surakarta, the famous pattern in this area are Sawat, Sementrante, and Satriomanah. The problem that arises is the difficulty of distinguishing the three existing pattern because they have a high level of similarity. Therefore, this research aims to solve these problems using NB and RF methods. As a feature extraction, a Gray Level Cooccurrence Matrix is used as a texture feature extraction. The research phase includes methods for dataset collection, preprocessing, feature extraction, and classification. These two methods, RF and NB, can be used as methods for batik fabric classification. The most accurate result obtained by the RF method was 97.91% accurate in dataset A, while the NB method was 96.66% accurate on the same dataset. According to the research results, it is found that the RF method outperforms the NB method in classifying the types of batik patterns.
Penelitian ini bertujuan untuk memaksimalkan serta mempermudah mahasiswa dalam menggunakan tools Microsoft Word dan PowerPoint sebagai media penulisan tugas akhir. Pelatihan ini diikuti 23 mahasiswa tingkat akhir pada program studi Manajemen Informatika Politeknik Pratama Mulia Surakarta (Politama) yang beralamat di Jl. Haryo Panular No.18A, Panularan, Kec. Laweyan, Kota Surakarta, Jawa Tengah. Pelatihan ini dilakukan secara kombinasi yaitu dalam jaringan (DARING) dan luar jaringan (LURING) dengan tetap memperhatikan protokol kesehatan karena sedang dalam masa pandemic Covid-19. Pelatihan ini dilaksanakan pada Sabtu, 30 oktober 2021 yang bertempat di laboratorium Manajemen Perusahaan Politama Surakarta. Pertemuan sesi pertama memberikan materi tentang tools Microsoft Word yang disampaikan oleh saudara Izzan Julda dan sesi kedua materi PowerPoint disampaikan oleh saudara Aldi Rifki, dilanjutkan dengan tanya jawab mahasiswa terkait materi yang disampaikan. Hasil pre-test dan post-test menunjukkan bahwa nilai presentase meningkat setelah dilakukan pelatihan Microsoft Word dan PowerPoint. Hasil ini mengindikasikan adanya peningkatan dalam pengetahuan dan soft skill tentang tools Microsoft Word dan PowerPoint.This study aims to maximize and facilitate students in using Microsoft Word and PowerPoint tools as media for writing their final project. This training was attended by 23 last year students in the Informatics Management study program at the Pratama Mulia Surakarta Politeknik (Politama), whose address is Jl. Haryo Panular No. 18A, Panularan, Kec. Laweyan, Surakarta City, Central Java. This training is carried out online and offline, while still paying attention to health protocols due to the Covid-19 pandemic. This training was held on Saturday, 30 October 2021, at the Surakarta Politama Company Management laboratory. The first meeting session provided material on Microsoft Word tools delivered by Izzan Julda and the second session presented PowerPoint material by Aldi Rifki, followed by questions and answers from students regarding the material presented. The pre-test and post-test results showed that the percentage score increased after the Microsoft Word and PowerPoint training. These results indicate increased knowledge and soft skills in Microsoft Word and PowerPoint tools.
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