38 research outputs found

    GESTURE RECOGNITION FOR PENCAK SILAT TAPAK SUCI REAL-TIME ANIMATION

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    The main target in this research is a design of a virtual martial arts training system in real-time and as a tool in learning martial arts independently using genetic algorithm methods and dynamic time warping. In this paper, it is still in the initial stages, which is focused on taking data sets of martial arts warriors using 3D animation and the Kinect sensor cameras, there are 2 warriors x 8 moves x 596 cases/gesture = 9,536 cases. Gesture Recognition Studies are usually distinguished: body gesture and hand and arm gesture, head and face gesture, and, all three can be studied simultaneously in martial arts pencak silat, using martial arts stance detection with scoring methods. Silat movement data is recorded in the form of oni files using the OpenNI ™ (OFW) framework and BVH (Bio Vision Hierarchical) files as well as plug-in support software on Mocap devices. Responsiveness is a measure of time responding to interruptions, and is critical because the system must be able to meet the demand

    Implementasi Framework Laravel Untuk Galeri Seni Berbasis Web

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    Seni di Indonesia dikenal memiliki ciri khas dan tempat tersendiri di mata kolektor seni karena keragamannya. Namun selama ini begitu banyak karya seni berkualitas dari seniman Indonesia yang kurang terekspos karena mereka tidak mampu untuk mempromosikannya baik di tingkat lokal maupun mancanegara mengingat selama ini promosi dan penjualan barang seni hanya dilakukan melalui pelelangan pada saat pameran atau hanya mengandalkan galeri seni yang mereka miliki. Pembangunan sebuah sistem berbasis web yang dapat mengakomodir kebutuhan seniman dan kolektor merupakan sebuah solusi yang dapat digunakan mengingat sebuah sistem berbasis web dapat diakses dengan cepat kapanpun dan dimanapun selama tersedia koneksi internet. Dalam membangun sistem tersebut, penggunaan framework laravel akan membantu meningkatkan efisiensi dan kecepatan serta keteraturan dalam proses pengembangan sistem. Dengan memanfaatkan fitur – fitur yang ada pada framework laravel, beberapa fungsi yang digunakan dalam sistem dapat berjalan tanpa perlu dibuat dari awal. Dengan adanya sistem ini, hubungan antara seniman dan kolektor akan dipermudah. Sistem akan memudahkan para seniman untuk menciptakan galerinya sendiri dan memasarkan hasil karyanya melalui galeri tersebut. Melalui sistem ini pula para kolektor barang – barang seni akan menemukan karya seni yang sesuai dengan keinginan mereka secara cepat, mudah dan nyaman. Kata kunci : laravel, framework, seni, galler

    Predicting Crime Time Intervals Using Machine Learning Models

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    Understanding the time interval of crime can help optimize patrols and guards to identify crime-prone areas and estimate the time prone to crime. The urgency of this research lies in the need to develop more efficient methods for analyzing and preventing crime. By understanding the time pattern of crime, law enforcement can improve more effective prevention and law enforcement strategies. The methods used are DT, XGBoost, and CatBoost. This method was chosen because of its superior ability to handle large, complex, and unbalanced datasets. The evaluation was carried out using MAPE to measure the level of accuracy of crime clock predictions. The results show that XGBoost successfully predicts the time pattern of crimes with a MAPE of 8.29%, indicating a high level of accuracy. These results can be effectively applied to predict time-based crimes, helping to make better preventive decisions and improving the efficiency of security resource allocation

    EFFECT OF USING FLIPPED CLASSROOM FOR TEACHING WRITING BASED ON STUDENTS' MOTIVATION: A QUASI-EXPERIMENTAL RESEARCH

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    The flipped Classroom is an approach that has been often mentioned in recent years, namely a learning model in which pedagogical concepts are reversed that can reorganize students' needs to ensemble the times in the modern era. This research aimed to analyze: (1) Does Flipped Classroom have better effectiveness than the Conventional Learning Model for teaching writing?; (2) Do high-motivation students show better writing competencies than low-motivation students?; (3) Is there any relationship between the learning model and students' motivation for conducting writing subject? Institut Teknologi & Bisnis Bakti Nusantara is the research location in this quasi-experimental study. The researchers employed two classes in this study: control and experimental classes. This research has 48 students as the sample of study in which each class consists of 24 students in both classes. The writing test and motivation questionnaire were employed for collecting the data as the research instrument. Before utilizing the Tukey test to identify the significance of different pairs of group means, the researchers conducted a 2x2 Multifactor Analysis of Variance for data analysis. The research findings unraveled the mean scores of F1M1 70, F1M2 75, F2M1 68, and F2M2 69. This finding concludes that (1) Flipped Classroom offers better effectiveness than the conventional learning model to teach writing, (2) The are differences in writing scores by students who have low motivation and high motivation, (3) There are interactions of learning model and student's motivation for teaching writing. Therefore, this research is expected to provide implications for implementing Flipped Classrooms with LMS for teaching English in higher education institutions in Indonesia to encourage the improvement of the flipped-classroom learning model on a larger scale.

    Daur Ulang Air Leri Dalam Mengurangi Limbah Rumah Tangga

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    This community service aims to educate the community in Bambu Apus Pamulang to be more concerned about waste. Households are productive producers of waste, household waste water can be used as liquid organic fertilizer for hydroponic plants, the water content of leri is nitrogen, phosphorus, potassium, calcium, magnesium, sulfur, iron, and vitamin B1. Hydroponics is considered suitable for urban communities, because it does not require a large place, is relatively safe from insects and the harvest period can be controlled, the results are expected to be able to meet the nutritional needs of households with organic vegetables. These community service activities are carried out so that the community is aware of the importance of protecting the environment, starting with simple matters, providing information that households are able to process and utilize leri's waste water, and finally teaching the community members how to grow hydroponic vegetables to ensure the nutrition of families with organic vegetables independently

    Diagnosa COVID-19 Chest X-Ray Dengan Convolution Neural Network Arsitektur Resnet-152

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    The availability of medical aids in adequate quantities is very much needed to assist the work of the medical staff in dealing with the very large number of Covid patients. Artificial Intelligence (AI) with the Deep Learning (DL) method, especially the Convolution Neural Network (CNN), is able to diagnose Chest X-ray images generated by the Computer Tomography Scanner (C.T. Scan) against certain diseases (Covid). Resnet Version-152 architecture was used in this study to train a dataset of 10.300 images, consisting of 4 classifications namely covid, normal, lung opacity with 3,000 images each and viral pneumonia 1,000 images. The results of the study with 50 epoch training obtained very good values for the accuracy of training and validation of 95.5% and 91.8%, respectively. The test with 10.300 image dataset obtained 98% accuracy testing, with the precision of each class being Covid (99%), Lung_Opacity (99%), Normal (98%) and Viral pneumonia (98%).

    SEBERAPA EFEKTIFKAH PENGELOLAAN KEUANGAN DAERAH UNTUK MENUNJANG INOVASI OTONOMI DAERAH? ANALISIS KOTA BOGOR

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    The purpose of this research is more directed to the analysis of regional financial capacity by looking at the degree of decentralization and the ratio of regional financial dependence and the ratio of regional financial independence. These three forms of analysis will show whether an autonomous region is able to stand fully by relying on its own regional financial capacity. Type of research is secondary data analysis, horizontal and vertical analysis methods are used, the research location was selected purposively, namely the city of Bogor. The data used are institutional administrative data, namely the Bogor City Government, consisting of the Regional Budget and Revenue Expenditure reports and the 2015-2019 Regional Government Implementation Report, as well as regional financial data contained in the report of the Bogor City Central Statistics Agency for 2015-2019. The results of this study; (a) the calculation of the ratio of the degree of decentralization is categorized as moderate, (b) the dependence of regional finances for 5 years is above 50%, this means that the city of Bogor in terms of high dependence on the central government, (c) the city of Bogor can be categorized as moderate in its independence rati

    Edukasi Perencanaan Keuangan Bagi Calon Pemagang ke Jepang

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    This community service aims to provide planning training to Japanese champions so that later they can manage their finances in accordance with their individual financial goals. Educational participants are prospective Japanese apprentices. Totaling participants are 40 participants who are divided into 2 classes. The method in this activity is in the form of education as well as training. Educational methods include providing material that is about financial literacy, financial planning, financial goals, and business introduction. The Training Method includes participants directly doing the practice by filling out the worksheets provided in accordance with the material provided. Financial literacy test results increased by 35%, financial planning increased by 35%, financial goals increased by 25%, business introduction increased by 25%. For the evaluation of activities 85% of respondents (participants and LPK Bangkit staffs) responded positively to this activity the rest needs to be corrected regarding the large amount of material and the short time. Overall, this activity ran smoothly and provided positive benefits for the participants and Bangkit LPK

    Perbandingan Jumlah dan Ukuran Stomata Daun Pisang Klutuk (Musa balbisiana Colla) dan Pisang Ambon (Musa Paradisiaca L)

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    ABSTRACT Banana Musa balbisiana (klutuk banana) Colla is an banana cultivers that’s still pure endemic and have superior immune than other banana. Banana Musa paradisiaca L (ambon banana) is an cultivers banana a lot of plant by farmer to get fruits and have vulnerable immune toward disease and abiotic stress. Stomata is an place for exchange of CO2 and O2 evaporation in the process of transpiration and photosynthesis. This research is to find out amount comparison and the size of stomata between klutuk banana and ambon banana. This research using non experiment method. The results of this research is amount stomata on the upper klutuk banana is very little (9,6 stomata) just then ambon banana (144,8 stomata). On the buttom leaf, the amount is not too different, klutuk banana (505,8 stomata) and ambon banana (470,6 stomata). The size of stomata banana leaf on the upper more narrow just then on the bottom. But ambon banana have size of the leaf which is almost same

    Pengaruh Pengungkapan Islamic Social Reporting, Tingkat Pajak Efektif , Dan Beban Pajak Tangguhan Terhadap Penghindaran Pajak Di Indonesia Pada Perusahaan Di Jakarta Islamic Index

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    The purpose of this paper is to examine the effect of Islamic Social Reporting (ISR) disclosure, effective tax rate and deferred tax burden on tax avoidance. The dependent variable in this paper is tax avoidance, while the independent variable is ISR, effective tax rate and deferred tax burden. The data used in this paper are for five years, starting from 2015-2019 for companies listed on the Jakarta Islamic Index. The sample selection used purposive sampling method, the analysis used classical assumption test and multiple linear regression. The results of this paper are that only the effective tax rate and deferred tax burden have an effect on the tax avoidance variable
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