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IMPROVING TRAFFIC DENSITY PREDICTION USING LSTM WITH PARAMETRIC ReLU (PReLU) ACTIVATION
Get PDFIn the presence of complex traffic flow patterns, this research responds to the challenge by proposing the application of the Long Short-Term Memory (LSTM) model and comparing four different activation functions, namely tanh, ReLU, sigmoid, and PReLU. This research aims to improve the accuracy of traffic flow prediction through LSTM model by finding the best activation function among tanh, relu, sigmoid, and PReLU. The method used starts from the collection of traffic flow datasets covering the period 2015-2017 used to train and evaluate the LSTM model with the four activation functions. Tests were conducted by observing the Train Mean Squared Error (MSE) and Validation MSE. The experimental results show that PReLU provides the best results with a Train MSE of 0.000505 and Validation MSE of 0.000755. Although tanh, ReLU, and sigmoid provided competitive results, PReLU stood out as the optimal choice to improve the adaptability of the model to complex traffic flow patterns
ANALISA KEPUASAN PENGGUNA WEBSITE TOP UP VOUCHER GAMES ONLINE MENGGUNAKAN WEBQUAL 4.0
Get PDFThe online gaming industry generates revenue through the sale of games that customers pay to play. In Indonesia, there are numerous programs that offer online game vouchers at different costs and with various payment options. The objective of this study is to identify the variables that influence user satisfaction on web applications that offer online game coupons. The study used the WebQual 4.0 methodology as a tool for evaluating the caliber of web apps. The research was conducted online via the Google Form application. The data collection period spanned from June 11, 2023 to June 29, 2023, and we got 130 respondents. The data was evaluated using descriptive statistical analysis with the aid of SPSS tools. The findings of this study indicate that the variable of Interaction Quality (X3) has a significant role in determining user satisfaction for online game voucher websites, however the factors of Usability (X1) and Information Quality (X2) do not exert any influence on user satisfaction. Therefore, this research shows that hypotheses H1 and H2 are rejected for all data groups. This research provides recommendations to online game voucher application owners to focus on interaction quality variables in further web application development
VTUBER PERSONAS IN DIGITAL WAYANG: A REVIEW OF INNOVATIVE CULTURAL PROMOTION FOR INDONESIAN HERITAGE
Get PDFThis study investigates the integration of VTuber into Wayang Digital as a strategic initiative to promote Indonesian cultural heritage. By leveraging advanced technologies such as real-time motion capture and artificial intelligence (AI), the project aims to enhance the animation quality and interaction of VTuber, creating a more immersive and engaging experience for audiences. The research focuses on three key aspects: VTuber integration's effectiveness in attracting international audiences, optimizing real-time motion capture for high-quality animation, and applying AI algorithms to create adaptive, responsive interactions between VTubers and their viewers. Through these innovations, the study aims to enrich the narrative and visual appeal of Wayang Digital, making it more accessible and appealing to a diverse global audience. The findings show that integrating advanced technologies enhances Wayang Digital's storytelling, aesthetics, and effectiveness as a powerful tool for cultural promotion. AI-enabled adaptive interactions create a personalized viewer experience, deepening audience connections with the traditional art form. High-quality animation preserves and effectively communicates Wayang's cultural nuances to audiences, enhancing its impact and cultural promotion. This study underscores the importance of continuous technological innovation and strategic implementation in the preservation and globalization of Indonesian heritage through digital media, suggesting that the future of cultural preservation lies in the seamless integration of tradition with cutting-edge technology
EMPLOYEE ACCEPTANCE AND SATISFACTION USING E-OFFICE BY HYBRID MODEL BASED ON TAM & ISSM
Get PDFE-Office is an electronic mail application both web-based and mobile with the aim of making it easier for users to send, track, and archive letters. The implementation of E-Office applications within agencies certainly has pros and cons from users so it is necessary to do research to find out how users receive E-Office applications. To analyze user acceptance and satisfaction with E-Office applications, it is necessary to test the factors that influence users in utilizing applications. In this study, testing was carried out by combining two models, namely TAM (Technology Acceptance Model) and ISSM (Information System Success Model). The TAM is a widely used model to evaluate user acceptance of new technologies, while the ISSM was developed to analyze successes or failures in the application of information systems. The research method used is quantitative using questionnaire instruments, then the data is analyzed using the R-Square test. The data collected was 50 and then analyzed using SPSS. The user perception criterion shows a number of 0.740 so that the variables of information quality and system quality have a strong correlation with user perception. While both the criteria for perceived ease of use and user intention show a value above 0.75, which is 0.77 so that the variables of information quality and system quality have a very strong correlation with the perception of ease of use, and the variables of user perception and perception of ease of use have a very strong correlation also to user intentions in using E-Office applications
TICKER SYMBOL IDENTIFICATION WITH CIMA ON NON-STATIONARY STOCK PRICE DATASET
Get PDFTicker symbol identification based on stock price data in investor decisions has been proven to be pivotal. Though research exists on stock price forecasting, ticker symbol identification is still a research opportunity. Meanwhile, some temporal-sequential classification methods are available, such as classification-integrated moving average (CIMA) and recurrent neural network (RNN)-based deep learning such as long short-term memory (LSTM), and gated recurrent unit (GRU). Our research aim is to prove that CIMA can perform ticker symbol identification on non-stationary stock price datasets. This research collects ten most well-known stock price dataset from Kaggle and performs pre-processing. Then it designs CIMA with non-stationary data and the benchmark deep learning methods. Both methods are optimized with hyperparameter tuning and model selection between adaptive boosting (AdaBoost) and legacy k-nearest neighbors (KNN). The test results show five non-stationary features in the stock price dataset must go through a differentiation process. Then, AdaBoost has an accuracy of 0.9967 ± 0.001, while KNN has an accuracy of 0.9971 ± 0.001, with no significant difference based on t-test. Meanwhile, AdaBoost has a significantly smaller model size and testing and prediction time than KNN. In benchmarking, CIMA+AdaBoost is superior to the three other methods for accuracy, precision, recall, and f1-score, all of which have a value of 0.996. Our research contribution is ticker symbol identification based on stock price using CIMA on multiple-class sequential classification with non-stationary data. For future research, we advice to perform this method on other stock price data
SOSIALISASI STANDAR AKUNTANSI KEUANGAN ENTITAS PRIVAT PADA GURU SMK DI JAWA BARAT
Get PDFThe development of Financial Accounting Standards has changed in line with business development. On June 30, 2021 DSAK endorsed the SAK for Private Entities (SAK EP), which will be effective January 1, 2025 replacing the SAK for Entities Without Public Accountability (SAK ETAP). Accounting education has a role in the successful implementation of SAK in Indonesia. IAI West Java helped socialize the new SAK to SMK teachers throughout West Java. The aim of this activity is the accounting teachers are expected to get an overview of the SAK EP and obtain references of this topic. The socialization method includes lectures as a material delivery technique, questions and discussions as a form of increasing and developing the potential of professional teachers. Based on the results of the socialization participants' responses, it was found that the implementation and usefulness indicators showed a very good category, this shows that the socialization activities were carried out very well and this activity contributed benefits to participants in enriching accounting knowledge, especially related to the latest SAK. The aim of the activity has been achieved very well, namely increasing the teachers' knowledge about the latest information relating to the latest financial accounting standards (Private Entity SAK)
PEMBUATAN PETA DESA AIR MERAH KECAMATAN CURUP TENGAH KABUPATEN REJANG LEBONG BENGKULU
Get PDFMaps are complex data sets containing information on the location and objects of an area. Maps can show the distribution of various things on Earth, such as settlement patterns, mountains and others. ArcGIS is software that can be used in making village maps. Air Merah village is a village in Curup Tengah sub-district, Bengkulu, which until now has not had complete mapping for the area. The purpose of this service is to help present village data that can be accessed as spatial data information in planning development progress in Air Merah Village. Community service is carried out in stages of visiting the village head's office for administrative processes, conducting discussions with the team, collecting data through field surveys and interviews, making maps, and discussing the results of thematic maps, as well as holding a presentation to discuss the results of the map and handing over map printouts to village officials. This service activity was attended by lecturers, partners and students who were involved in all series of services both in the field and discussions, so as to produce village information maps. Based on the results of field surveys and modeling, Air Merah Village has an area of ± 10.7789 km2 and is located at latitude longitude -3.4801, 102.556365. Map making has received a positive response from the surrounding community and is expected to be able to provide location information and improve the inventory of Air Merah Village
PELATIHAN PEMANFAATAN TEKNOLOGI CHATGPT UNTUK SURAT MENYURAT KADER PKK DESA CIMULANG BOGOR
Get PDFThe use of technology is the key to increasing effectiveness and efficiency in communication. One technology that is currently developing is chatbot, a computer program that can interact with humans via chat or text messages. Chatbots can speed up the flow of communication, simplify information retrieval, and increase the level of community involvement in various activities. Training in the use of ChatGPT Technology for writing correspondence is important considering the need for efficiency and quality in written communication, especially for Village PKK cadres. This training aims to improve cadres' ability to use ChatGPT technology to compose correspondence more effectively and efficiently. With this training, several significant outcomes were achieved. First, there will be an increase in productivity in the preparation of official and informal letters by Village PKK cadres, because the use of ChatGPT technology will speed up the process of writing and sending letters. Second, it can improve the quality of cadres' written communication, so that the message conveyed can be more clearly and effectively understood by the recipient. Lastly, the use of ChatGPT Technology can expand the scope of messages delivered to the people of Cimulang Village, Bogor, so that important information and education can be broader and more easily accessible to all residents. This training not only supports the efficiency and quality of communication but also strengthens relations between cadres and society as a whole
INTERNET OF THINGS UNTUK MONITORING KONDISI AIR BUDIDAYA IKAN KELOMPOK ‘TUTUT JAYA’ KOTA MALANG
Get PDFThis service aims to improve the skills and knowledge of catfish farmers in the "Tutut Jaya" group related to the use of IoT technology in water quality monitoring. Through the training and implementation of IoT technology, it is expected that farmers can monitor and manage water quality more efficiently, thus increasing the productivity and sustainability of catfish farming. The dedication was carried out at the Catfish Farming Group "Tutut Jaya" in Arjowinangun Village, Kedungkandang District, Malang City. The methods used include training, technology implementation, as well as monitoring and mentoring. Training was given to improve fish farmers' understanding of the importance of maintaining stable pH and water temperature. In addition, IoT technology was introduced to monitor water quality in real time, enabling rapid intervention against inappropriate water conditions. Data was obtained through surveys, interviews, and analysis of IoT sensors that measure water pH and temperature. The results of the research show a significant improvement in the quality of pond water, which contributes to the health and growth of catfish. The use of IoT technology also increases operational efficiency, reduces resource consumption, and increases catfish production. Partners show a high level of satisfaction with the application of technology and the training provided. In conclusion, the implementation of IoT technology in water quality monitoring proved to be effective in increasing the success of catfish farming, with the potential to be applied more widely in the fishing industry
GREEN ECONOMY DENGAN PENGELOLAAN LIMBAH BERBASIS ILMU PENGETAHUAN DAN TEKNOLOGI PADA BANK SAMPAH 3G
Get PDFGarbage remains a significant issue in Greenary Permai Bojong Gede Housing, leading to an unhealthy environment, particularly when waste collection is inconsistent. In response, the 3G waste bank initiated several waste reduction activities. However, progress has been slow due to limited waste management knowledge, incomplete equipment, low community awareness, and manual record-keeping. To address these challenges, training was provided on managing organic and plastic waste, and repurposing used cooking oil into candles and soap. Financial application training was also given to improve the recording process. The goal was to enable the community and partners to adopt a small-scale waste management system and integrate it into daily habits. Using Participatory Action Research (PAR), community members, including waste bank administrators, were directly involved in hands-on training to ensure participants understood the objectives. Since the socialization of this initiative in April 2024, significant progress has been made. Questionnaire results showed 95% of participants understood the activity's purpose. Monitoring and evaluation revealed that residents and partners have successfully adopted composting, ecobrick-making, and proper recycling of used cooking oil into candles or soap, demonstrating sustainable practices and optimal use of the financial applications