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A good organization image is one of the factors for an organization to be able to achieve competitive advantage. To create a good image of an organization, an effective communication process is needed to the public. Online communication media and social media are effective organizational communication tools and can improve the organization's image. This community service activity is packaged in the form of training which aims to improve the skills of SDN 2 Mojosari teachers in mastering online media and social media as a means of organizational communication. Effective organizational communication can create a good image of the organization. This training activity has an impact on increasing the abilities of teachers and changing digital-based organizational communication strategies to improve the organization's image as one of the organization's competitive advantages.Organization image, Social Media, Organization Communication, Competitive Advantage

This literacy and numeracy training and mentoring service activity is to prepare the nation's next generation to face challenges in the global era, where to produce selective education requires quality human resources, including the development of literacy and numeracy in learning at SDN Sri Mukti 01, North Tambun, use digital-based technology at SDN Sri Mukti 01 Tambun Utara and knowledge for teachers and parents and guardians regarding the use of digital-based technology in learning. Training and development methods are carried out offline or face-to-face by students through lecturer assistance which includes introducing the scope of literacy and numeracy learning, as well as supporting teachers in developing literacy and numeracy by utilizing digital-based technology in learning and teaching activities. It is hoped that with this training, SDN Sri Mukti 01 Tambun Utara students and teachers can develop digital-based learning and teaching activities for numeracy literacy

Graphic design has become a necessity in various areas of life, including branding and website design. Nowadays, graphic design has become an important part of various sectors of life, especially to support the economic and marketing sectors. Therefore, graphic design visual arts abilities and skills are very necessary. This is an opportunity to equip young people with graphic design skills. The results of a survey conducted by the service team showed that Medan city teenagers have a high interest in graphic design art. So real efforts need to be made to equip Medan city teenagers with graphic design skills. Therefore, in this community service activity, graphic design training and assistance was carried out using the Canva application to increase the creativity of Medan city teenagers. The method of implementing community service is in the form of lectures providing material directly by resource persons to partners.

One of the common vocations of Christians is to proclaim to all people of all ages. The age of the child is a golden age in development, it needs special attention in faith formation. Companions need to get enough training so that faith building in children will be right on target. Child assistance is usually carried out on Sundays so it is called Sunday school, Sunday School assistants are not professionals who get special education such as ECCE educators in schools. Many of these Sunday School faith companions are armed only to serve or guide this child's faith. This Community Service or PKM aims to equip Sunday School faith companions to be better in mentoring. With the right learning method or model, the faith materials given are in accordance with the child's reasoning and grasping power. The assistance was carried out by involving students to be directly involved in three rayon parishes in Semarang city and inviting all Semarang Rayon Sunday School Faith companions at Oak Tree Hotel on December 10, 2023, to share experiences and provide input to children's Faith Companions. As a result of this debriefing, Sunday School Faith Companions felt cared for and greatly helped in fostering faith in children.     

The 2013 curriculum focuses on developing students' knowledge, understanding, abilities, values, attitudes and interests, with the aim of enabling them to apply this knowledge in a practical way. At the same time, it encourages independent learning based on each student's abilities, while providing opportunities for the development of character and important skills. This research uses a qualitative descriptive approach using a literature study review. This research aims to determine the differences between the 2013 Curriculum and the Merdeka Curriculum in various aspects, including characteristics, objectives, competencies, assessment methods and roles. The findings of this research can help the government choose a more effective curriculum for students, thereby optimizing the learning process for their future. Based on the research we conducted, we have drawn conclusions and provided recommendations to the government, emphasizing the need for well-developed policies, thorough outreach, and comprehensive teacher training before implementing curriculum changes. In the end, it is the teacher who will be directly involved with students in the learning process.    

The present study was conducted during school closure during the pandemic period, from 2020 to 2022. This study aims to explore teachers’ responses to the difficulties in using the online platform, and how teachers cope with the challenges in running online classes. This study used a descriptive qualitative approach. Data collection techniques included interviews, observations, and document analysis. The study participants were seven junior high school teachers in Mataram, West Nusa Tenggara. They had mixed work experiences. The results of the study showed that teachers responded differently to the demand for teaching using an online platform. Most teachers conducted online classes on a pro forma basis in order to comply with government policies. They viewed themselves unprepared to participate in online classes. The study also found teachers’ difficulties in teaching online classes due to students’ lack of adequate knowledge, skills and motivation in utilizing the online platforms provided by their schools. The study concludes that there is a need for comprehensive training and support for teachers to effectively adapt to online teaching methods. Additionally, it suggests that schools should invest in improving students' digital literacy skills to enhance their engagement and success in online learning environments.    

The implementation of this service activity is carried out by providing material regarding Proposal Preparation and Food Business Planning for Shredded Chicken Rice Bowl Products by delivering this training material with lectures and discussions. Mentoring is provided to provide direction on how to start business planning and preparing business proposals to marketing and business development. The aim of this assistance is to provide students with the understanding and ability to start a business well

Fresh or rotten meat is a different matter. Damage to the meat will produce a distorted odor, mucus, discoloration in certain areas and an undesirable taste due to the formation of metabolism. The odor is described as fishy, ​​rotten, containing sulfur and like ammonia. In this research, the author discusses a system for identifying the condition of meat based on the odor that arises from meat in three states, namely odorless odor, fresh odor and rotten odor. Fresh odor is taken from meat odor that is within 1 (one) day after being cut and rotten odor is taken from meat odor that is on the 2nd day. In this study, the test sample meat was placed in a closed container at room temperature for 2 days. Data was taken for 2 days from meat odors of known type. The sensor array consists of eight sensors made of conducting polymer material. The polymer materials used are silicon DC-200, PEG-20M, 0V-101, 0V-17, DEGA, PEG-200, PEG-1540, and PEG-6000 mixed with Carbon black. A two-layer artificial neural net consisting of eight input nodes and three output neurons, was trained using the Kohonen algorithm with a training process that was completed in 4 iterations. From 20 tests, 10 times exposure to steam from fresh odor and 10 times exposure to steam from rotten odor, carried out alternately, it was found that the system failed twice. Thus, the system success percentage reached 95 percent.

The global economic recession is a global economic downturn that affects the domestic economies of countries in the world. The stronger the economic dependence of one country on the global economy, the faster a recession will occur in that country. In 2020 the country of Indonesia and even the world are exposed to the COVID-19 virus which has an impact on the country's economic growth, even the world economy. This is the trigger for an economic recession. This has led to many different public perspectives on the occurrence of a global economic recession whose opinions or reactions are expressed on social media Youtube. The data was obtained by crawling techniques from social media Youtube with a total of 500 comments used. The data is then labeled (class) with a lexicon-based method with an Indonesian language dictionary. From the labeling results, it was obtained 185 positive labeled data (37%) and 315 negative opinions (63%). The data preprocessing stage is carried out in preparation for the data to be processed for sentiment analysis. Of the many opinions obtained, an analysis of public sentiment regarding the 2023 global economic recession will be carried out using the Naïve Bayes classification algorithm. This study also applied the TF-IDF word weighting method with the n-gram feature used, namely bigram (n=1). The system will be evaluated using a confusion matrix. The implementation results show a prediction model with a total of 500 opinion data with a comparison of training data and test data of 9:1, producing an accuracy value of 84.00%, a precision value of 75.00%, a recall of 30.00%, and an f1-score of 42.86%. The performance of the system model built in this study can be said to be good.

This research explores the impact of implementing incentives at the Bu Ira basic food agency in Krian, Sidoarjo on employee performance, with a focus on sales bonuses and non-financial incentives. The research results show that sales bonuses related to target achievement provide additional motivation for employees to increase sales, especially when bonuses are linked to certain products that have higher profits. Additionally, non-financial incentives such as recognition for good performance have proven effective in building team spirit and increasing job satisfaction. The discussion involved understanding that incentive design must be tailored to the grocery store context, taking into account the unique characteristics of this industry. Sales bonuses, when tied to specific types of products, can provide a greater motivational boost for employees. Recognition of good performance can be realized in the form of promotion or additional training, providing added value in employee career development. Flexibility in incentive design, effective communication, and continuous evaluation of the effectiveness of incentive programs are the keys to success. The results of this research provide insight for business owners and managers in the grocery agency industry to design incentive programs that suit employee needs and business goals, as well as accommodate changes in the industrial environment.

This research discusses efforts to introduce cognitive learning theory into the 2013 curriculum in the educational environment. Her research focus is on understanding how key principles of cognitive learning theory, including concepts such as information processing, knowledge construction, and the development of higher-order thinking skills, can be integrated into new curriculum structures. Research methods include analysis of official 2013 curriculum documents, interviews with teachers, and observation of classroom learning practices. The results show that although real efforts have been made to adopt the principles of cognitive learning theory, their implementation still faces certain challenges. Limited resources, teacher understanding of cognitive concepts, and adaptation of learning materials are several important factors that influence successful implementation. Therefore, this research provides recommendations for improving teacher training, adapting learning materials, and increasing resource support so that the 2013 curriculum more effectively achieves students' cognitive learning goals.

This study presents a comprehensive review to explore technology's multifaceted role in fostering cultural competence within multicultural education. The primary objective of this study is to address three fundamental research questions: 1) How does the integration of technology enhance cultural competence in multicultural education settings? 2) What challenges and opportunities are associated with utilizing technology to promote cultural competence in diverse educational settings? 3) How can innovative technological approaches be tailored to address specific cultural competencies in education? Adopting a library research approach, an extensive exploration of academic databases and scholarly sources was conducted to gather literature pertinent to the research questions. The descriptive analysis method was employed to synthesize and analyze the collected information, identifying key themes, differences, similarities, and weaknesses among the diverse sources. The findings from this comprehensive review revealed several significant insights. Technology integration was observed to offer opportunities such as personalized learning experiences through AI-driven tools, immersive cultural experiences via Virtual Reality (VR), and global connectivity fostering cross-cultural collaboration. However, challenges like the digital divide, biases in technological tools, language barriers, ethical concerns regarding data privacy, and pedagogical integration shortcomings were highlighted. Moreover, the study underscores the potential of adaptive technologies, multimodal resources, culturally tailored digital content, and aligning technological interventions with culturally responsive pedagogy to address specific cultural competencies. The recommendations emphasize the need for teacher training, inclusive design, curation of diverse and authentic digital content, interdisciplinary collaborations, and ongoing assessment for optimizing technology's role in promoting cultural competence within multicultural education.

Fraud detection is used in various industries, including banking institutes, finance, insurance, government agencies, etc. Recent increases in the number of fraud attempts make fraud detection crucial for safeguarding financial information that is confidential or personal. Many types of fraud problems exist, including card-not-present fraud, fake Marchant, counterfeit checks, stolen credit cards, and others. An ensemble feature selection technique based on Recursive feature elimination (RFE), Information gain (IG), and Chi-Squared (X2) in concurrence with the Random Forest algorithm, was proposed to give research findings and results on fraud detection and prevention. The objective was to choose the essential features for training the model. The Receiver Operating Characteristic (ROC) Score, Accuracy, F1 Score, and Precision are used to evaluate the model's performance. The findings show that the model can differentiate between fraudulent transactions and those that are not, with an ROC Score of 95.83% and an Accuracy of 99.6%. The F1 Score of 99.6%% and precision of 100% further sustain the model's ability to detect fraudulent transactions with the least false positives correctly. The ensemble feature selection technique reduced training time and did not compromise the model's performance, making it a valuable tool for businesses in preventing fraudulent transactions.

MSMEs are very important for Indonesia because almost 60% of GDP is dominated by this sector. But in the process of running MSMEs in Nangsri Kebakkramat village, there are still don't understand how to promote appropriately according to the type of product being marketed, starting from increasing production costs, distribution systems, and most importantly, the lack of consumer knowledge about the products being sold.. This service aims to provide knowledge and training in creating advertising content and maximizing the use of promotional media. The method used the counseling method for an initial introduction to creating advertising content. Apart from providing material, the PKM team also provides practical methods or training on how to create advertising content and digital product marketing. It is hoped that MSME can carry out this service while running their businesses.using information technology to market products to a wider market online and offline.

Abstract. In the rapidly evolving era of information technology, digital records management is crucial for enhancing the efficiency of tax service tasks. This study thoroughly analyzes the existing digital archive system, emphasizing key aspects such as creation, storage, access, and management of digital records. Results reveal the potential of the digital archive system in the Tax Service Office Pratama Jakarta Pulogadung to boost records management efficiency and streamline information access. However, identified barriers include a limited understanding of the technology's full benefits and challenges in adapting to changes in work culture and traditional data management processes. These findings underscore the need for efforts to increase awareness and understanding of the benefits of effective digital records management. Furthermore, strategic development, focusing on training, cultural change, and technology integration, is crucial for optimizing digital archive systems. This research enhances our comprehension of the digital archiving system's role in improving the performance and efficiency of the Service Section of the Tax Service Office Pratama Jakarta Pulogadung, offering insights for future improvements in tax-related tasks.

Human resource management supports companies to gain competitive advantage through business strategy. The aim of this research is to provide an overview of the role of human resource management (HRM) in establishing competitive advantage in companies and to find out which employee recruitment and training are best used to increase competitive advantage. The research method used is descriptive qualitative with literature review data collection techniques. Based on the results of the review, it is known that competitive advantage is achieved through the company's internal environment, namely human resources. Therefore, it is necessary to strengthen the company's internal environment through employee recruitment as well as employee training and development.

Opportunities for crime in the digital business world include various forms of threats, such as system hacking, theft of personal data, financial fraud, and other criminal acts that can harm companies and damage consumer trust. Digital business is a business activity that in its implementation utilizes technology as a medium, either when creating or in a series of marketing activities. In an effort to deal with opportunities for crime in the world of e-business, companies must prioritize information security, strict policy implementation, education and training for employees, as well as partnerships with security and government agencies. This research uses a qualitative literature study method by obtaining secondary data through published journal articles with the question "Are there many opportunities for crime in the utilization or use of e-business?". Based on this, it is clear that there are still many opportunities for crime in the digital business world and continue to occur, where the crimes that often occur are fraud, hacking, as well as cybercrime and cyberfraud.

Education and Training (DIKLAT) plays a vital role in developing individuals, especially in terms of improving employee performance. Studies have shown that TRAINING plays an important role in increasing employee performance. The aim of this research is to analyze the importance of the role of education and training in improving employee performance in Probolinggo district. This research uses a qualitative approach method where the data comes from observations and reading sources related to education and training. This research shows that education and training has various benefits, benefits for employees who carry out education and training, they can gain additional knowledge and improve their skills, and benefits for organizations that carry out education and training activities can get employees who are stratified, so that it has a good impact in the future progress of the organization..

Batik culture is very strong in Indonesia, this is the reason that batik can be found throughout the archipelago, with unique characteristics that distinguish it in each region. However, people are often confused and find it difficult to recognize one type of batik from another. One of the famous types of batik motif is Batik Parang. This research aims to establish a Convolutional Neural Network (CNN) model to classify Batik Parang and help people distinguish it from other batik motifs. Deep learning, particularly CNN, was chosen because it has a high accuracy rate in image classification. A quantitative Experimental design is used, using a dataset of 100 batik images evenly divided into two classes, namely Batik Parang and not Batik Parang. The dataset is divided into two categories, namely training data and testing data, with a data ratio of 80:20. Thus, by using Convolutional Neural Network (CNN), the classification between Batik Parang and not Batik Parang produces an accuracy of 95%, with the use of epoch = 118 and batch_size = 100.

This research allows an automated system for detecting classified means of transportation in Medan City traffic using the YOLOv8 algorithm. The YOLOv8 algorithm is used to detect transportation objects with accuracy that is many times better than other object detection algorithms and with good accuracy after training with various data sets. The use of this algorithm provides an effective solution for handling congestion in the form of increasing the number of vehicles and less orderly traffic users in the city of Medan. The placement of each transportation object in the image to be tested by the system has an influence on the shape accuracy of the object detection results by the algorithm.