Publication Search

This community service aims to provide learning videos to all participants in the National Science Olympiad in Natural Sciences. This learning video is a free learning resource that can be accessed anytime and anywhere via the YouTube platform. These learning videos consist of 9 videos containing OSN Science grids and are collected into one playlist entitled KSN IPA (Fisika) SMP. The use of YouTube in supporting preparations for the science olympiads at junior high school level can be said to be effective by looking at the number of viewers, the number of likes and that no one gave a dislike. Ease of access and targeted material content can be something that attracts students participating in OSN. Even the comments column can also be used as a medium for discussion and correction of each material presented.

Background: Mental disorders are conditions in which mental functions, thought processes, emotions, feelings, psychomotor and verbal behavior are disrupted which becomes a group of clinical symptoms accompanied by suffering and results in disruption of an individual's humanistic function (Ramadani et al, 2020). One type of mental disorder is schizophrenia, where the main perception disorder in schizophrenic patients is hallucinations. Hallucinations are changes or perceptions that there is unfavorable stimulation from within the individual or from outside the individual accompanied by a reduced, excessive or distorted response (Rustika, 2020). One non-pharmacological implementation strategy for patients with hallucinations is by providing music therapy (Alfionita, 2016). Method: Giving therapy to listen to dangdut music to patients for 4 days is carried out 1 day once therapy for 10-15 minutes. Results: After the intervention of giving menmusic therapy for 4 days, it was found that the patient experienced a decrease in signs and symptoms of hallucinations from initially a score of 8 to 2. Conclusion: Providing dangdut music therapy can help reduce the frequency of hallucinations. This is due to the diversion of the patient's attention from the hallucinatory sounds to the dangdut music he hears. rebuking and music to reduce the symptoms of the hallucinations he was suffering from.

Background: Mental disorders are a description of a syndrome with a variety of causes, many of which are not yet known with certainty and the course of the disease is not always chronic, in general it is characterized by fundamental deviations, characteristics of thoughts and perceptions, as well as the presence of unnatural or blunted affect. One of the mental disorders that occurs is sensory perception disorder: hallucinations. Hallucinations are a loss of human ability to differentiate between internal stimuli (thoughts) and external stimuli (outer world). How to treat hallucinations can be done in pharmacological and non-pharmacological forms. One non-pharmacological therapy that is effective in reducing hallucinations is music therapy. Method: Giving classical music listening therapy to patients for 4 days is carried out 1 day once therapy for 10-15 minutes. Results: Classical music activity therapy nursing intervention greatly influenced the level of hallucinations in patients with hallucinatory auditory sensory disorders. Conclusion: Providing classic music therapy can help reduce the frequency of hallucinations. This is due to the diversion of the patient's attention from the hallucinatory sounds to the classic music he hears. rebuking and music to reduce the symptoms of the hallucinations he was suffering from.

Promotional efforts must be carried out using social media as a marketing tool in line with increasingly sophisticated technological advances. With promotions using social media marketing, business people must be innovative and attractive in order to influence consumer purchasing decisions. Meanwhile, promotion by means of online advertising can help potential customers understand the things they provide and help customers make purchasing decisions. Therefore, consumers who use forums or online sites to look for reviews or comments about a product often use electronic word of mouth promotions. Nowadays, cosmetics have become a special need for women to care for themselves and have good skin. This encourages women to apply cosmetics to look attractive and keep facial skin healthy. So this research aims to discuss the magnitude of the influence of online advertising, social media marketing, and electronic word of mouth on purchasing decisions. This research used a purposive sampling method involving 110 respondents who used Wardah products in the Jabodetabek area. Data analysis uses multiple linear regression. The results show that online advertising has a positive influence on purchasing decisions. Then, social media marketing has a positive influence on purchasing decisions. Then, electronic word of mouth has a positive influence on purchasing decisions. Then, online advertising, social media marketing, and electronic word of mouth simultaneously have a positive influence on purchasing decisions.

Violations in conversation are found not only in everyday life when people interact with other people, but also, in drama and films performed by characters, in novels, interviews, debates, and other forms of social interaction performed for various reasons. This study examines the violations of Grice's Maxim in the movie Jack Reacher: Never Go Back, focusing on the characters' conversational utterances. Using observation method and note-taking technique, the descriptive qualitative method was applied, analyzing data using the Theory of Cooperative Principles and Context of Situation. The results showed twenty-nine data of conversation were violated by the characters in the movie. Maxim of Quality (51,7%), Maxim of Quantity (13,8%), Maxim of Relation (10,4%), and Maxim of Manner (24,1%).  

One of the pillars of a region's economic strength is the Micro, Small and Medium Enterprises (MSME) sector. Seeing the phenomenon of MSME in Nagari Pasia Laweh which creates jobs and makes an important contribution to trade, especially for micro businesses operating in the culinary sector. In creating a good business, innovation is needed that can improve the performance of business actors, but there are still business actors who have not innovated their products. Culinary business actors who have innovated their products certainly experience several problems and obstacles. The aim of this research is to find out and analyze the product innovation skills of culinary business actors and to find out the obstacles or constraints in innovating culinary business products in Nagari Pasia Laweh, Palupuh District. The research method used is a qualitative descriptive method. Data obtained through observation, interviews and documentation. The results of this research are that 10 out of 12 business actors have carried out product innovations in the form of adding menu variants. The obstacles experienced during product innovation were 2 business actors being constrained by a lack of facilities and infrastructure, 3 business actors experiencing a lack of labor which resulted in a long time for the production process, 3 business actors being constrained by the distance to the location of purchasing complete raw materials and meat grinding for the actors. businesses that need it and 10 out of 12 business actors who have carried out product innovation are constrained by costs because they have to buy additional equipment and raw materials for the production process.

This study presents the development of a smart grid system designed to efficiently integrate renewable energy sources into the existing electrical grid. The proposed system employs advanced communication technologies and real-time data analytics to optimize energy distribution and consumption. A simulation model was created to evaluate the system's performance under various scenarios, demonstrating significant improvements in energy efficiency and reliability. The findings indicate that the smart grid system can enhance the stability of the electrical network while promoting the use of sustainable energy sources.

Interreligious dialogue is a vital component of religious education, especially in regions marked by cultural and religious diversity. This paper examines the role of interfaith initiatives in secondary education, highlighting their impact on reducing prejudice and fostering peace. Case studies from schools in diverse contexts illustrate how dialoguebased curricula can create a more inclusive and harmonious learning environment. The study concludes with recommendations for policymakers and educators.

This research aims to explain the meaning that can be obtained from the Lega Mitan Traditional Ceremony in Habi Village and identify to the function of the Lega Mitan Traditional Ceremony in Habi Village. The researcher used qualitative method. Data collection techniques used in this research are observation, interview and documentation. The data analysis techniques used by Miles and Huberman in the book Sugiyono (2018) models. In the results there are the function of the Lega Mitan traditional ceremony, especially Habi Village, is as a form of respect for people who have died. The ceremony functions so that the soul of the deceased is more peaceful in the afterlife. The Lega Mitan ceremony is a ceremony that signifies that the grieving period is over. It is called blatan bliran, blatan means cold, bliran means freshness for the two people accompanying the corpse. The values that we can take in carrying out the traditional Lega Mitan ceremony are human values and mutual cooperation.

This research aims to explain the meaning that can be obtained from the Lega Mitan Traditional Ceremony in Habi Village and identify to the function of the Lega Mitan Traditional Ceremony in Habi Village. The researcher used qualitative method. Data collection techniques used in this research are observation, interview and documentation. The data analysis techniques used by Miles and Huberman in the book Sugiyono (2018) models. In the results there are the function of the Lega Mitan traditional ceremony, especially Habi Village, is as a form of respect for people who have died. The ceremony functions so that the soul of the deceased is more peaceful in the afterlife. The Lega Mitan ceremony is a ceremony that signifies that the grieving period is over. It is called blatan bliran, blatan means cold, bliran means freshness for the two people accompanying the corpse. The values that we can take in carrying out the traditional Lega Mitan ceremony are human values and mutual cooperation.

The Regent of Kuningan revealed that the typical coffee of Kuningan Regency has the potential to increase economic and tourism activities. The purpose of this study are to determine the potential and uniqueness of the plantation area and coffee factory in Cibeureum Village, Kuningan Regency. Planning a coffee trail that is in accordance with the potential and uniqueness of coffee plantations and factories so that it can become a coffee agro-tourism product and promote coffee agro-tourism. The analytical method that will be used in this research is the descriptive analysis method. The data used is qualitative data obtained from the results of the researcher's in-depth observations and interviews with related parties. Planning a coffee trail is able to combine everything into a complete coffee journey, starting from the planting process, picking coffee, selecting coffee beans, drying coffee beans, roasting coffee beans, grinding the coffee beans and finally being able to enjoy the coffee. Coffee trails must be positioned as the most interesting form of coffee tourism activity and can improve the experience of tourists, especially coffee lovers, in exploring coffee agrotourism.

The principle of cooperation is definitely needed in a conversation, because with this principle, speakers and interlocutors can communicate cooperatively. Apart from helping speakers and speech partners achieve common goals in conversation, the maxim of cooperation can also provide a framework for communication to be more efficient and effective, so that it can benefit speakers and speech partners. However, sometimes in a conversation, violations arise from the speaker or speech partner involved and result in a violation of the principle of cooperation. Violations in the principle of cooperation in a speech can cause information defects and give rise to disagreements between the speaker and the speech partner. Therefore, this research was carried out with the aim of determining and explaining the types of violations of the principle of cooperation in conversations on the content of Lost Youth: "Butchering Cheetahs So that Cheetahs Will Ride in the Afterlife". This research uses pragmatic theoretical methods as well as qualitative descriptive methodological approaches. Collection techniques. The data used is a note-taking technique, namely by watching the video again, then taking notes on conversations that contain violations of the maxim of cooperation. The results of the research show that violations of the principle of cooperation that occur in the content are dominated by violations of the maxim of quantity which is characterized by the discovery of 10 violations of data. , 4 data violations of the maxim of quality, 5 data violations of the maxim of manner, and no violations of the maxim of relevance were found.

Computer vision technology is used to improve work safety in the construction industry. The key in this project is the utilization of the YOLO method on the Roboflow platform. In addition to the Convolutional Neural Networks (CNN) algorithm, YOLO efficiently divides the image into a grid and classifies the objects in the grid by bounding box and confidence score. With the integration of YOLO, this project can achieve accurate and fast PPE detection. This project uses the YOLO method to detect head and body parts from input images. The detected body parts are then cropped and processed using the CNN method for classification. This project will also implement computer vision algorithms, including Deep Learning methods that currently have the most significant results in image recognition is CNN method, to automatically detect and monitor the use of PPE. This model achieves mAP 64.1%, Precision 73.2%, and Recall 60.2%. The Streamlit framework was used for deployment, creating a web application for PPE compliance tracking. This project, ''Health and Safety PPE Compliance Tracking'', aims to improve work safety in the construction industry. This project uses Computer Vision technology to detect, monitor, and ensure worker compliance with the use of appropriate PPE. The suggestion is to conduct further trials using other datasets in the form of photos or videos that can be done in real-time by ensuring that the colors of hats and vests do not vary too much to detect the conformity of labeling with PPE use.

During the process of making sambiloto simplicial which involves heat, it can cause degradation of chlorophyll. Increasing the stability of chlorophyll can be done by forming Zn-chlorophyll complexes with metals which are be able to form complexes where more stable than Mg such as by using Zn. The aim of this research is to determine how the physical and chemical characteristics of the bitter simplicia powder produced are influenced by the type of reagent and the concentration of the reagent when heated in an oven. Simplicia bitter powder is made through a sorting, grinding and sieving process. Next, the zinc chloride and zinc acetate reagents were mixed with concentrations of 0, 200, 300, 400, and 500 ppm, and then dried. The results showed a real effect (p value <0.05) of the interaction between the types of ZnCl2 and Zn acetate reagents and the reagent concentration on color intensity, color stability, water content, ash content and chlorophyll content. The higher the concentration of ZnCl2 and Zn acetate, the higher the water content, ash content, chlorophyll content, L*, and -a*, while b* and ∆E decrease. At a concentration of 500 ppm ZnCl2 showed an increase in water, ash, chlorophyll, ∆E, L*, and a* content while b* decreased. Meanwhile, Zn acetate 500 ppm moisture content, ash content, chlorophyll content, L*, and ∆E decreased, while a* and b* increased. Sambiloto simplicia powder which has the highest chlorophyll content is Zn acetate 400 ppm, with characteristics of water content 6.81% ww, ash content 15.74% ww, total chlorophyll 397.97 mg/100 g ww, green color intensity (-a) -2.93, and ∆E 5.48.

Power systems are critical infrastructure that face significant challenges due to increasing demand and inherent complexity. Predicting failures in power systems is crucial for enhancing grid reliability, minimizing downtime, and optimizing maintenance processes. This study evaluates various deep learning models, specifically convolutional neural networks (CNN), recurrent neural networks (RNN), and transformer models, for predicting power system failures. By analyzing these models’ performance metrics on historical power grid data, the study provides insights into the strengths and weaknesses of each approach. The findings contribute to the development of more robust predictive models for power system reliability.

Smart grids incorporate IoT devices that enhance energy management, monitoring, and overall grid efficiency. However, this interconnectivity also increases vulnerability to cybersecurity threats, posing risks to critical infrastructure. This research investigates the implementation of blockchain technology to secure data transactions within IoT-based smart grids. By leveraging blockchain's decentralized, tamper-resistant characteristics, the study demonstrates improvements in data integrity and cybersecurity for smart grids, providing a potential framework for resilient and secure energy infrastructures.

Cyber Physical Systems (CPS) are vital for managing and controlling critical infrastructures, such as industrial control systems, power grids, and transportation networks. These systems integrate digital and physical components, offering numerous benefits for industrial automation. However, the increasing interconnectivity of these systems has introduced new security vulnerabilities, particularly in anomaly detection and system reliability. This research aims to address these challenges by proposing an edge based anomaly detection framework that leverages lightweight deep learning models, specifically designed to operate efficiently on resource constrained edge devices. Literature Review: Previous studies have shown the effectiveness of anomaly detection in CPS, with traditional methods struggling to keep up with the complexity and scale of modern industrial environments. Machine learning and deep learning approaches, particularly hybrid models combining rule based systems and AI, have emerged as effective solutions for real time anomaly detection. Techniques such as model compression, quantization, and pruning are essential for adapting these models to resource limited edge devices while maintaining high detection accuracy and low latency. Materials and Method: The proposed framework integrates deep learning models such as Convolutional Neural Networks (CNNs) and Long Short Term Memory (LSTM) networks, optimized for edge computing environments. The datasets used for training and testing include industrial network traffic and sensor anomaly datasets. Model optimization techniques like pruning and quantization were applied to reduce computational overhead and energy consumption on edge devices. Results and Discussion: The framework demonstrated high detection accuracy (AUC of 0.9720) with ultra low latency (0.0019 seconds training time), making it highly suitable for real time anomaly detection in CPS. Resource efficiency was achieved by optimizing the models for edge devices, reducing energy consumption while maintaining performance. The framework also significantly improved security by identifying anomalies early, preventing potential threats to critical infrastructures. Future directions include exploring federated learning to enhance privacy and data sharing across distributed devices.

This article discusses the dynamics of wearing jilbab and its meaning in the context of globalization, focusing on the influence of cultural globalization on norms, values, and lifestyles in religious traditions. This research is a qualitative study using a netnography approach with data obtained from the response of the Indramayu Muslim fashion griya whatsApp group. This article discusses the evolution of the concept of hijab from a separator between free women and slaves to a tool to protect women's private parts from prying eyes. In addition, the article also highlights the different views on hijab, including the views of contemporary scholars and the impact of globalization on the views and practices of hijab in contemporary society. Thus, this article highlights how globalization, fashion trends, religious identity, and cultural values affect the dynamics of hijab and its meaning in contemporary society.  

This research aims to improve the effectiveness of lung cancer classification performance using Support Vector Machines (SVM) with hyperparameter tuning. Using Radial Basis Function (RBF) kernels in SVM helps deal with non-linear problems. At the same time, hyperparameter tuning is done through Random Grid Search to find the best combination of parameters. Where the best parameter settings are C = 10, Gamma = 10, Probability = True. Test results show that the tuned SVM improves accuracy, precision, specificity, and F1 score significantly. However, there was a slight decrease in recall, namely 0.02. Even though recall is one of the most important measuring tools in disease classification, especially in imbalanced datasets, specificity also plays a vital role in avoiding misidentifying negative cases. Without hyperparameter tuning, the specificity results are so poor that considering both becomes very important. Overall, the best performance obtained by the proposed method is 0.99 for accuracy, 1.00 for precision, 0.98 for recall, 0.99 for f1-score, and 1.00 for specificity. This research confirms the potential of tuned SVMs in addressing complex data classification challenges and offers important insights for medical diagnostic applications.

Analysis of the use of the Boruvka algorithm method in the context of electricity supply is an important topic in the development of electricity systems. In this study, we evaluate the effectiveness and application of the Boruvka algorithm in distribution optimization and power grid management. We study ways in which the Boruvka algorithm can be used to identify optimal electricity distribution paths, improve system efficiency, and minimize the potential for grid damage or failure. This research provides a deeper understanding of the potential and limitations of the Boruvka algorithm in the context of modern electricity infrastructure.