The development of e-commerce and the internet requires business actors to be able to adapt, including in terms of marketing. Word of Mouth is a marketing strategy that is considered quite effective because it refers to human-to-human interaction through personal recommendations and positive experiences with something. In this era of social media, Online Customer Reviews are a form of evolution of Word of Mouth marketing. Online Customer Reviews utilize the power of Word of Mouth through digital platforms and have a significant impact in influencing consumer perceptions and purchasing decisions. This research uses several statistical tests to measure the reliability of the instruments and data. This research focuses on calculating the relationship between the Online Customer Review (X) and Purchase Decision (Y) variables at Shopee. The analysis results show a positive and significant correlation between the two, confirmed by simple linear regression and correlation tests. The findings confirm that Online Customer Reviews have a positive and significant influence on Consumer Purchasing Decisions. Therefore, sellers, especially on the Shopee marketplace, are expected to prioritize the quality of their products and services so that they can trigger good online customer reviews which then have an impact on increasing sales.
 
 

This article discusses how Civic Education can be a solution in facing the challenges of globalization, by instilling the values of Pancasila, love for the homeland, social responsibility, and strengthening national identity. The methods used are literature studies and qualitative analysis of various relevant sources. The results show that globalization brings a great challenge to Indonesia's national identity, especially among the younger generation. The flow of information and foreign culture that enters without borders can weaken the spirit of nationalism and local values such as mutual cooperation and tolerance. In this context, Civic Education (PKn) has a strategic role in building a strong national character and integrity. Emphasis on the importance of integrating national values in civil society is very important in forming a young generation that is resilient, critical, and ready to contribute to the global world without losing their identity as Indonesian citizens.

Coronary heart disease (CHD) remains a leading cause of mortality worldwide. Early detection is essential to reduce complications and improve patient outcomes. This study aims to develop a classification model using machine learning algorithms to predict CHD risk based on clinical symptoms. The dataset used is the Cleveland Heart Disease dataset from the UCI Machine Learning Repository, consisting of 303 patient records with 14 clinical features. The preprocessing stage involved handling missing values, normalizing features, and transforming categorical variables. Four classification algorithms were applied: K-Nearest Neighbors (K-NN), Decision Tree, Random Forest, and Support Vector Machine (SVM). Each model was trained using stratified 10-fold cross-validation to ensure generalizability. Evaluation using accuracy, precision, recall, F1-score, and ROC-AUC metrics showed that the Random Forest algorithm achieved the highest performance with 87.2% accuracy. Feature importance analysis indicated that chest pain type, resting blood pressure, cholesterol, and ST depression were the most influential indicators. These results demonstrate that machine learning, particularly Random Forest, can effectively support early diagnosis of CHD in clinical settings and has the potential to be integrated into clinical decision support systems (CDSS).

Dementia is a disorder of cognitive function that results in disruption of daily activities and the quality of life of sufferers. In Boyolali Regency, the phenomenon of dementia is increasing along with the increase in the number of the elderly. However, public understanding of the symptoms and early treatment of dementia is still low. This Community Service Program aims to increase public knowledge and awareness of dementia through education, brain gym training, and early detection of dementia through the Clock Drawing Test (CDT). The activity was carried out at Posyandu Winong, Karangduwet Village with interactive lectures, joint discussions, and demonstrations. The results of the evaluation showed that there was an increase in participants' understanding of dementia from 24% in the pre-test to 80% in the post-test. Through this program, it shows that the participants gain important insights on the importance of maintaining cognition from an early age and doing physical activities such as Brain Gym regularly.

The rapid advancement of information technology has had a significant impact in various fields, particularly in pattern recognition and image processing. One of the ongoing challenges is accurately recognizing handwritten digits, which plays a crucial role in document digitization, automated form reading, and other intelligent systems. This study aims to implement and evaluate the K-Nearest Neighbors (KNN) algorithm, a simple yet effective classification technique, in recognizing handwritten digit images. The data used comes from the public dataset load_digits from Scikit-learn, which contains 1,797 grayscale images of handwritten digits sized 8x8 pixels. Each image is represented as a 64-dimensional feature vector. The dataset is split into training and testing data with an 80:20 ratio, and the model is trained using KNN with k=3. The experimental results show a classification accuracy of 96.94%, with minimal prediction errors that typically occur in digits with similar visual shapes, such as 5 and 9. This study demonstrates that KNN, despite its simplicity, can provide high accuracy in handwritten digit recognition when supported by proper preprocessing and parameter selection. The implications of this research highlight the potential for developing intelligent applications in education, data entry automation, and identity verification.

In line with the development of the digital potential of the creative economy, the demand for quality visual content from photography and videography industry players has also increased. However, access to quality photographers and videographers is still a problem for some people. Likewise, photographers and videographers also experience difficulties in getting clients. Photographers and videographers feel that the use of social media has not been maximized in helping them get clients. In addition to these problems, these photographers and videographers also have difficulty in disseminating the events held. To overcome this problem, researchers developed a digital platform that can accommodate the interests of photography and videography service providers, as well as the community of users of these services. The digital platform developed by researchers is named the “Lensa Buana” marketplace application. The development of the Lensa Buana marketplace application uses the prototype system development method. With this application, it is hoped that photography and videography service providers can reach more consumers, while the community as consumers can easily get photography and videography services according to their needs and desired quality.

Huruf Braille adalah huruf yang memiliki sistem tulisan yang menggunakan indra peraba untuk menggunakannya dan umum digunakan oleh penyandang tunanetra. Pada orang normal yang sering berinteraksi dengan para penyandang tunanetra terkadang mengalami kesulitan dalam menggunakan huruf braille, sehingga diperlukan suatu pendekatan teknologi sistem cerdas untuk dapat membantu mengenali huruf braille. Penelitian ini bertujuan untuk menggunakan metode depthwise separable convolutional neural network untuk melakukan pengenalan terhadap gambar braille. Dataset yang digunakan memiliki ukuran 28x28 dengan total dataset sebanyak 1560 citra. Arsitektur yang digunakan adalah input layer, yaitu sebesar 28x28x3 dan layer depthwise separable convolution pertama, kedua, dan ketiga menggunakan masing masing 3x3x128, 3x3x256, dan 2x2x512 dengan fungsi aktivasi rectified linear unit (ReLu) dan setiap konvolusi diikuti dengan lapisan-lapisan maxpooling dan batch normalization. Setelah itu, dilanjutkan dengan dua fully connected layer dengan jumlah neuron 256 dan 128 serta diakhiri dengan output layer sejumlah 26 neuron. Arsitektur tersebut menghasilkan model terbaik dengan akurasi sebesar 98.40%. Model tersebut diterapkan pada aplikasi berbasis website. Hasil temuan penelitian ini diharapkan dapat membantu masyarakat dalam mengenali huruf braille dengan mudah.
 
Kata kunci: tunanetra, braille, depthwise separable convolution, model, akurasi

In this fast-paced time, the relationship between content creators and audiences can be built using storytelling and quality content as an attraction. Along with the emergence and development of technology, AI or Artificial Intelligence now facilitates the creative process for content creators. AI can assist from drafting, visuals, to editing. This article aims to directly explain how AI can help improve efficiency, generate ideas, and expand ways of telling a story. However, when integrating AI into the creative process, there are limitations that must not lose the personal touch and creative flair that make a story feel meaningful and remain authentic. Content creators are able to use human insight and the sophistication of AI to produce stronger, more innovative, and relevant storytelling amidst increasingly fierce digital competition.

This study aims to analyze the influence of leadership on teacher performance with organizational culture as an intervening variable at SMP Negeri 12 Sungai Penuh. This research employs a quantitative approach with a causal study design. The population in this study consists of the school principal and all 30 teachers at SMP N 12 Sungai Penuh. The sample uses total sampling, where the author takes 100% of the existing population at SMP Negeri 12 Sungai Penuh, totaling 30 teachers. Data collection was conducted using questionnaires. Data analysis techniques utilized SEM PLS. The results show that teacher performance at SMP Negeri 12 Sungai Penuh is strong (125.33) with excellence in pedagogical and personality competencies. The principal's leadership is also strong (124.87) with communication as the best aspect, along with a strong organizational culture (124.83) in results orientation and stabilization. The research findings indicate that leadership has a positive and significant effect on teacher performance with a path coefficient of 0.423 (T-Statistics 5.096, P-Values 0.000). Leadership also significantly impacts organizational culture with a coefficient of 0.736 (T-Statistics 12.912, P-Values 0.000). Additionally, organizational culture positively influences teacher performance with a coefficient of 0.565 (T-Statistics 7.244, P-Values 0.000). Leadership also affects teacher performance through organizational culture as an intervening variable with an indirect path coefficient of 0.416 (T-Statistics 6.500, P-Values 0.000). This proves that organizational culture serves as a partial mediator in the relationship between leadership and teacher performance.

This study aims to analyze the Implementation of the Policy of the Directorate General of Islamic Education Circular No. 10 of 2024 concerning the Free Nutritious Meal Program (MBG) at the Tarogong Islamic Boarding School, Garut Regency, and its impact on students' learning motivation. Education, especially in Islamic boarding schools, requires special attention regarding adequate nutritional access for students, which has a significant impact on the learning process. The research method used is a qualitative approach with a case study design, which allows researchers to explore in depth the experiences and perceptions of students, teachers, Islamic boarding school leaders, kitchen managers and parents regarding this program. The results of the study indicate that this policy has a positive impact on students' learning motivation, where the majority of students reported increased enthusiasm and concentration in participating in learning after receiving nutritious food intake regularly. However, there are challenges in its implementation, such as the quality of distribution and the need for training for supporting staff. This study provides recommendations for related parties to improve collaboration between educational institutions, local governments, and logistics providers for the sustainability of the program, as well as implementing evaluation mechanisms to improve aspects that are less effective. In conclusion, the Free Nutritious Meal Program (MBG) not only functions as a nutritional intervention, but also as an important strategy in improving the motivation and learning achievement of students in Islamic boarding schools.