Corrosion inhibition efficiency (IE%) prediction plays a central role in the computational discovery of high-performance organic inhibitors. Classical machine learning has shown promising results; however, its performance often deteriorates when learning non-linear interactions between quantum chemical descriptors. Meanwhile, quantum machine learning (QML) provides enhanced expressivity through quantum feature mapping but remains limited by NISQ-era hardware. In this study, we propose a Hybrid Quantum Neural Network (HQNN) integrating classical dense layers with variational quantum circuits (VQC) to predict the inhibition efficiency of organic corrosion inhibitors. Using a curated dataset of 660 molecules with DFT descriptors, the HQNN achieves an RMSE of 3.41 and R² of 0.958, outperforming classical regressors and pure VQC. The results demonstrate that hybrid quantum models offer a balanced trade-off between quantum advantage and practical feasibility in materials informatics.

Chronic diseases such as chronic kidney disease (CKD), diabetes, and heart disease remain major causes of mortality worldwide, highlighting the need for accurate and interpretable diagnostic models. However, conventional machine learning methods often face challenges of limited generalization, feature redundancy, and class imbalance in medical datasets. This study proposes an integrated classification framework that unifies three complementary feature paradigms: classical tabular attributes, deep latent features extracted through an unsupervised Long Short-Term Memory (LSTM) encoder, and quantum-inspired features derived from a five-qubit circuit implemented in PennyLane. These heterogeneous features are fused using a feature-wise attention mechanism combined with an AdaBoost classifier to dynamically weight feature contributions and enhance decision boundaries. Experiments were conducted on three benchmark medical datasets—CKD, early-stage diabetes, and heart disease—under both balanced and imbalanced configurations using stratified five-fold cross-validation. All preprocessing and feature extraction steps were carefully isolated within each fold to ensure fair evaluation. The proposed hybrid model consistently outperformed conventional and ensemble baselines, achieving peak accuracies of 99.75% (CKD), 96.73% (diabetes), and 91.40% (heart disease) with corresponding ROC AUCs up to 1.00. Ablation analyses confirmed that attention-based fusion substantially improved both accuracy and recall, particularly under imbalanced conditions, while SMOTE contributed minimally once feature-level optimization was applied. Overall, the attention-guided AdaBoost framework provides a robust and interpretable approach for clinical risk prediction, demonstrating that integrating diverse quantum, deep, and classical representations can significantly enhance feature discriminability and model reliability in structured medical data.

Kemajuan teknologi mendorong meningkatnya penggunaan aplikasi video editing pada Google Play Store, sehingga menginterpretasikan ulasan dari pengguna secara akurat menjadi sangat penting. Penelitian ini bertujuan untuk menganalisis sentimen ulasan pengguna terhadap aplikasi CapCut, InShot, Kinemaster, dan Filmora. Data ulasan diperoleh melalui web scraping dan selanjutnya diproses dengan metode TF-IDF untuk pembobotan kata. Dataset dipisahkan menjadi dua bagian, yakni 80% untuk pelatihan dan 20% untuk pengujian. Random Forest digunakan sebagai algoritma utama dalam pembuatan model klasifikasi sentimen, sementara penilaian performa model dilakukan melalui pengukuran akurasi, presisi, recall, dan F1-score. Temuan penelitian mengindikasikan algoritma Random Forest dapat mengelompokkan sentimen pengguna dengan tingkat akurasi mencapai 84% dari total 4.000 data ulasan di setiap aplikasi. Temuan ini mengindikasikan Random Forest dinilai handal dalam menangani dan menginterpretasikan opini yang diberikan oleh pengguna terhadap aplikasi video editing. Kesimpulan ini memperkuat peran analisis sentimen dalam pengembangan dan peningkatan kualitas aplikasi berbasis ulasan pengguna di platform digital.
 
Kata kunci: Analisis Sentimen, Random Forest, TF-IDF, Aplikasi Video Editing, Play Store.

Stunting remains a chronic nutritional issue and a significant public health challenge in Indonesia, particularly in rural areas such as Jurang Village, Temanggung Regency. One of the key contributing factors to the high prevalence of stunting is the low level of maternal knowledge regarding balanced nutrition and the appropriate practice of providing supplementary feeding (Pemberian Makanan Tambahan or PMT) for children under five. This study aims to evaluate the effectiveness of PMT menu leaflet media as a tool to increase mothers’ knowledge and awareness regarding stunting prevention. The research was conducted through a series of community-based surveys during Posyandu (integrated health post) activities across several neighborhood units (Rukun Warga or RW). These surveys identified cases of stunting and assessed the educational needs of mothers with young children. Based on the findings, a culturally and contextually adapted leaflet was developed, containing essential information about stunting, its early signs, the importance of PMT, and practical, nutritious recipes made from locally available ingredients. To expand accessibility, the leaflet also included a QR code linked to a digital e-book featuring 54 variations of PMT menus. The educational materials were distributed through door-to-door visits, accompanied by the direct provision of supplementary food, enabling immediate practice of the knowledge shared. Post-intervention results showed a significant improvement in maternal understanding of stunting and nutrition, as well as positive feedback regarding the clarity, relevance, and usefulness of the leaflet. The culturally tailored approach and integration of digital resources further enhanced engagement and knowledge retention. In conclusion, the PMT leaflet proved to be an effective, practical, low-cost, and replicable educational intervention to support community-based stunting prevention efforts in Jurang Village. This approach offers a promising model for similar rural areas facing high stunting rates across Indonesia.

This study aims to analyze the effect of brand awareness, celebrity endorser, and product quality on the purchase decision of Emina cosmetic products among university students in Berau Regency, East Kalimantan. The background of this research is driven by the significant growth of the local cosmetic industry and the high adoption of Emina products among young consumers, especially students. As a popular local cosmetic brand, Emina has successfully captured the attention of its young audience with approaches that resonate with their characteristics. Therefore, it is important to understand the factors influencing their purchasing decisions. The study uses a quantitative approach with a survey technique involving 100 purposively selected respondents. Data was collected through questionnaires and analyzed using multiple linear regression with the help of SPSS version 25. The results of the study show that, simultaneously, all three independent variables (brand awareness, celebrity endorser, and product quality) significantly affect the purchase decision of Emina products. However, when analyzed separately, only celebrity endorser and product quality have a positive and significant influence, while brand awareness does not show a significant impact on the purchase decision. Product quality proves to have the most dominant influence in driving the purchase decision, indicating that consumers prioritize product quality over other factors. The findings provide important recommendations for marketing strategies, particularly for Emina, to focus on emotional value-based promotions that resonate with the young audience. In addition, the selection of relevant celebrity endorsers and consistency in maintaining product quality are crucial factors to consider. This research is expected to contribute to the development of evidence-based marketing strategies in the local cosmetic industry, particularly in non-metropolitan areas, which face unique challenges in increasing product adoption.

Arabic language proficiency, a key element in Islamic religious education, requires adequate learning resources. One innovation that contributes to the learning process is the use of a digital Arabic-Indonesian dictionary. This study aims to identify the extent to which students utilize digital dictionaries and their impact on Arabic language learning. The study used a descriptive qualitative approach through data collection techniques such as observation, interviews, and documentation. Participants included students enrolled in the Arabic Language Education study program from the 2010 intake, lecturers teaching Arabic, and data on the use of digital dictionary applications. The study findings indicate that most students prefer using digital dictionaries due to their ease of access and comprehensive features, such as instant word search and examples of word usage in context. Students perceive digital dictionaries as more practical and efficient, especially for quickly searching for word meanings, which is very helpful in the intensive Arabic language learning process. However, several obstacles also arise, including low digital literacy among some students and limited internet access in some locations. On the other hand, lecturers at the Al-Zaytun Islamic Institute in Indonesia continue to encourage the use of printed dictionaries to train students' accuracy in searching for meanings, especially so that they do not rely solely on technology. Overall, the use of digital dictionaries has been proven to positively contribute to improving Arabic comprehension and sentence structure, making them an effective and relevant alternative learning resource in the digital age. The use of digital Arabic-Indonesian dictionaries also makes it easier for students to learn technical terms frequently used in academic and religious texts.

This research is motivated by the low learning outcomes of students and the lack of student learning outcomes in learning and the use of learning methods that are less influential in improving student learning outcomes in paying attention to the material presented by the teacher. This study aims to determine and describe how efforts to improve the learning outcomes of fourth-grade students at SDK WESOER in the science subject about Energy and its changes by using the Experimental Method. This research is a classroom action research (CAR), the data collection instruments used are observation, interviews, documentation, and tests. This research consists of 2 cycles, each cycle consisting of 1 meeting. Each cycle consists of the planning, observation, implementation, and reflection stages. The results of the study indicate that the use of the experimental method can improve student learning outcomes on the sub-theme of energy and its changes in fourth grade at SDK Wesoer. Before conducting the research, researchers conducted observations. During the learning process, the teacher did not use the experimental method on the material of energy and its changes, so from 25 students only 8 students got a complete score reaching the KKM with a percentage of 32%, and 17 students got an incomplete score not reaching the KKM with a percentage of 68%. After conducting research using the experimental method on energy and its transformations, in Cycle I, 14 students achieved a passing grade and achieved the Minimum Completion Minimum (KKM) with a percentage of 56%, while 11 students received an incomplete grade, failing to achieve the KKM with a percentage of 44%. In Cycle II, the learning outcomes improved further, with 20 students achieving a passing grade with a percentage of 80%, and 5 students receiving an incomplete grade with a percentage of 20%.

The nutritional awareness of pregnant women in the Simpang Raya Community Health Center (Puskesmas) in Banggai Regency is still relatively low, necessitating educational efforts to increase their understanding of the importance of balanced nutrition during pregnancy. This community service activity aims to improve the knowledge of pregnant women through participatory and educational nutrition counseling held for one week in the Puskesmas hall. The methods used included interactive lectures, group discussions, and healthy menu preparation simulations, supported by leaflets adapted to the local context. A total of 40 pregnant women from various trimesters of pregnancy participated in the activity and were assessed using pre- and post-test instruments. The results of the activity showed a significant increase in participant knowledge, from 43% in the "good" category before the activity to 78% after the counseling. Most participants were able to understand the basic principles of balanced nutrition, identify food sources of important nutrients such as iron and folic acid, and prepare daily menus according to Ministry of Health guidelines. This improvement indicates that visual and interactive information delivery is easier for participants to understand, especially those with lower educational backgrounds. Furthermore, this activity also serves as a means of empowering pregnant women to be more active in maintaining their own and their fetus' health by choosing nutritious foods. Therefore, it is crucial for health workers at community health centers (Puskesmas) and integrated health post (Posyandu) cadres to continue this educational program on an ongoing basis. Structured, communicative, and participatory nutrition education is effective in increasing pregnant women's understanding and can be replicated periodically at other Posyandus (Integrated Health Posts) to support stunting prevention efforts and improve maternal and child health.

This study aims to determine and analyze the potential and challenges of culinary businesses, the implementation of digitalization and halal certification, and the development of an effective and sustainable model for the "Resto Apung" culinary business to support food economic independence in coastal villages. The research was conducted at "Resto Apung" using a qualitative descriptive method with data collection techniques such as interviews, observations, and focus group discussions. The findings show that the "Resto Apung" business holds significant potential as a culinary destination with a strong attraction due to its unique location and menu offerings based on local marine products. However, several challenges hinder its development, including low digital literacy among business managers, lack of structured and professional management systems, and the absence of halal certification which is crucial in targeting broader Muslim consumer segments. Currently, digitalization has only been applied in the marketing aspect, primarily through social media, while other aspects such as financial management, customer service, and operational processes are still managed conventionally. Nevertheless, the managers have shown awareness and initiatives to improve, especially in recognizing halal certification as a strategic competitive advantage. The proposed development model integrates digitalization into all aspects of business management, enhances human resource capacity through technical and managerial training, and includes efforts to obtain halal certification. This holistic approach is expected to increase the competitiveness of the culinary business, optimize local potential, and ultimately contribute to the achievement of food economic independence in coastal areas.

Exclusive breastfeeding for the first six months of a baby's life is an important strategy to support optimal growth and development. Breast milk has many benefits for babies, such as strengthening the immune system and supporting brain development. However, various obstacles such as emotional stress, lack of self-confidence, and minimal support from family and the community remain significant barriers to successful breastfeeding. These issues often lead to failure to provide exclusive breastfeeding in accordance with health recommendations. This study aimed to evaluate the effectiveness of hypnobreastfeeding training in improving breastfeeding knowledge, attitudes, and practices among mothers with infants aged 0–6 months in the Bojongkerta area of Bogor City. Hypnobreastfeeding is a psychological approach that combines relaxation techniques, positive affirmations, and education about breastfeeding to help mothers feel more confident in the breastfeeding process. This study used a quasi-experimental approach with a pre- and post-test design without a control group. A total of 31 breastfeeding mothers participated in this training, which included education about breastfeeding, positive affirmation techniques, and relaxation exercises. Data analysis results showed a significant increase in mothers' knowledge and attitudes towards breastfeeding after the training intervention. Furthermore, the study also recorded an increase in the success of exclusive breastfeeding during the observation period. Based on these findings, it can be concluded that hypnobreastfeeding is an effective approach to supporting the empowerment of breastfeeding mothers at the community level. This method offers a psychologically based solution to overcome social barriers that affect the success of exclusive breastfeeding.