TBody image dissatisfaction and increasing interest in cosmetic procedures present significant psychosocial challenges among contemporary university students. This study examined body image satisfaction levels, areas of physical dissatisfaction, and attitudes toward plastic surgery among University of Zakho students. A descriptive survey approach collected data from 49 students (28 males, 21 females) using a validated 10-item questionnaire measuring satisfaction and attitudes. Analysis revealed hierarchical patterns of body dissatisfaction, with the nose being most dissatisfying facial feature (91.8% reported some facial dissatisfaction), followed by hair. The chest area generated highest body dissatisfaction (80% of those reporting body issues), followed by abdomen/buttocks. Students strongly perceived increased prevalence of cosmetic procedures (67.3% agreed "to a large extent") and acknowledged significant media influence (69.4%). While recognizing plastic surgery as necessary for others (particularly women), 65.3% expressed unwillingness to pursue such interventions personally, even if cost-free. Statistical analyses found no significant differences in attitudes based on gender or age variables. Findings suggest educational institutions should implement body image programs while regulatory frameworks ensure plastic surgeries address genuine needs rather than reinforcing unrealistic standards.

The increasing integration of Artificial Intelligence (AI) in e-commerce has transformed digital marketing strategies, particularly through personalized recommendation systems. However, this advancement has raised ethical concerns regarding data privacy, algorithmic transparency, and consumer autonomy. In Southeast Asia, where digital platforms rapidly expand, these concerns become more complex due to diverse regulatory landscapes and user expectations. This study aims to analyze and compare the transparency of AI-based recommendation systems across three major e-commerce platforms in the region: Shopee, Lazada, and Tokopedia. A qualitative comparative approach was employed using content analysis of official policy documents, including privacy policies and AI guidelines, sourced from each platform between January and March 2024. The analysis utilized LLM-assisted text mining and thematic coding to identify ethical indicators such as algorithmic transparency, user control, and policy readability. The results reveal significant variation in ethical practices: Shopee scored the highest in all dimensions, including algorithmic transparency (score: 9/10), user control (8/10), and policy readability (9/10). Lazada ranked moderately with scores of 6/10, 4/10, and 6/10 respectively, while Tokopedia scored lowest with 3/10 for transparency, 0/10 for user control, and 4/10 for readability. These disparities indicate that ethical communication and user empowerment remain uneven across platforms. This study contributes to the discourse on digital ethics by highlighting the need for regional standards in AI transparency and promoting user-centric ethical design. The findings provide valuable insights for policymakers, platform designers, and digital consumers navigating trust in algorithm-driven environments.

Gel hand sanitizer merupakan pembersih tangan berbentuk gel yang berguna untuk membersihkan atau menghilangkan mikroorganisme pada tangan. Tumbuhan api-api putih (Avicennia alba Blume) merupakan salah satu jenis bakau yang tersebar di seluruh Indonesia dengan kondisi yang melimpah. Api-api putih juga telah dilaporkan bersifat non sitotoksik dan dapat juga digunakan sebagai bahan obat. Kandungan yang berperan sebagai antibakteri pada tumbuhan api-api putih yaitu flavonoid, saponin, dan tanin. Hand sanitizer dapat dibuat dari tumbuhan daun api-api putih. Penelitian ini bertujuan untuk membuat formulasi gel hand sanitizer dari ekstrak daun api-api putih dan mengetahui uji evaluasi sediaan gel hand sanitizer ekstrak tumbuhan api-api putih dengan konsentrasi 30%, 20%, dan 10%. Metode analisis yang digunakan dalam penelitian ini menggunakan metode deskriptif. Hasil penelitian menunjukkan bahwa hasil ekstrak bisa diformulasikan kedalam bentuk sediaan gel dan ada juga beberapa yang memenuhi kriteria uji evaluasi. Formula yang memenuhi syarat semua uji yaitu F1, pada F2 hanya memenuhi syarat pada uji organoleptis, uji Ph, uji viskositas, uji daya lekat, dan homogenitas, sedangkan pada uji daya sebar tidak memenuhi syarat, dan pada F3 hanya memenuhi syarat pada uji organoleptis, uji ph, uji viskositas dan uji daya lekat, sedangkan pada uji homogenitas dan uji daya sebar tidak memenuhi syarat.

Pandemi Covid-19 telah mengubah perspektif kesehatan dunia, termasuk di Indonesia. Kewenangan pemerintah menjadi krusial dalam menanggapi krisis kesehatan ini. Berbagai kebijakan diberlakukan untuk melindungi masyarakat dan meminimalisasi dampak negatif terhadap kesehatan masyarakat. Penelitian ini bertujuan untuk mengetahui kewenangan dan upaya pemerintah daerah pasca pencabutan kegiatan PPKM terhadap kesadaran kesehatan masyarakat di Kota Tangerang dan untuk mengetahui hambatan Pemerintah Daerah Kota Tangerang pasca pencabutan kebijakan PPKM terhadap kesadaran kesehatan masyarakat di Kota Tangerang. Penelitian ini menggunakan metode yuridis empiris dengan spesifikasi penelitian deskriptif analitis dan data diperoleh melalui wawancara mendalam terhadap narasumber. Hasil penelitian mengidentifikasi bahwa menunjukkan pasca pencabutan kebijakan PPKM Pemerintah Daerah Kota Tangerang tidak mengeluarkan kebijakan baru untuk menindak-lanjuti kebijakan tersebut. Kesimpulan dari penelitian ini adalah Pemerintah Kota Tangerang tetap melakukan upaya kesehatan seperti protokol kesehatan, surveilans, vaksinasi, dan komunikasi publik untuk menanggulangi pasca pencabutan kebijakan PPKM. Faktor penghambat pasca pencabutan kebijakan PPKM berdasarkan Pemerintah Kota Tangerangvialah tidak adanya faktor penghambat yang dialami. Hal ini dikarenakan kembali pada kesadaran kesehatan masyarakat itu sendiri.

The manual attendance system using paper at work locations other than offices at PT Gresik Migas creates challenges in the effectiveness and efficiency of employee attendance records. This study implements a web-based attendance system that integrates geolocation and selfie features to improve the accuracy and efficiency of attendance recording. The system was developed using native PHP for backend, jQuery for frontend, MySQL as database, and Leaflet JS for geolocation implementation. Implementation results show the system was successfully implemented in 5 different locations with a 50-meter validation radius and used by 40 employees. This system enables real-time attendance monitoring through an admin dashboard and produces more efficient attendance records compared to the previous manual system.

Customer churn is a major challenge in e-commerce, directly affecting revenue and profit. This study aims to develop a machine learning model using XGBoost to predict churn probability. To handle class imbalance, SMOTE was applied as a resampling method, and hyperparameter tuning was performed to enhance performance. The model was evaluated using the F2-score, prioritizing recall while maintaining precision. The results show that the XGBoost model with SMOTE achieves strong performance, with an F2-score of 0.849 on the tuned test data. This model can help businesses identify at-risk customers early, enabling proactive retention strategies.

KKN-Thematic (Real Work Lecture) is a form of student service to the community as part of the tridharma of higher education. This program aims to support village development and provide students with the opportunity to practice the knowledge they have learned directly. The purpose of this program is to identify challenges and opportunities in aligning the village financial management system to be more effective. A case study approach is used to analyze the implementation process and collect data on the integration efforts. Some of the problems faced by Baskara Bakti Village include data compatibility, limited technical capacity, and information gaps between SISKEUDES and PDAM. This service activity underlines the importance of strengthening institutional coordination, increasing technical support, and developing standard data formats to facilitate smooth integration in SISKEUDES. By addressing these challenges, villages can optimize financial management practices and improve the provision of public services.

In the midst of the digital era filled with various information, the ability to sort and understand accurate information is very necessary so that students can better understand Islamic teachings. The service of Islamic Religious Education (PAI) learning assistance by improving students' critical thinking skills aims to explore effective learning methods in PAI subjects in order to improve the critical thinking skills of grade XI students at SMK Hayatul Islam. This study applies the assistance method, which includes the stages of observation and coordination, implementation, and evaluation and reflection. Based on the results of the service, it shows that the use of discussion-based methods, problem solving, and analysis of religious texts helps hone students' critical thinking skills. They become more active in conveying ideas and are able to connect religious concepts with everyday life. However, there are several obstacles found, such as students' difficulty in constructing logical arguments and time constraints in the learning process. Therefore, more intensive assistance from teachers and the application of more varied methods are needed so that PAI learning is more effective in developing students' critical thinking patterns.

Indonesia is one of the world's main producers of cinnamon (Cinnamomum burmannii), but in the last five years, Indonesian cinnamon exports have decreased by around 10.13% per year. This decline is influenced by various factors that are closely related to competitiveness. As one of the plantation sub-sector commodities, cinnamon plays an important role in national economic development, especially in improving people's welfare. Cinnamon is used as an ingredient in food, beverages, medicines, cosmetics, and other industries. In addition to supporting income, this plant also contributes to environmental preservation, especially in river basins and conservation areas.Most of Indonesia's cinnamon exports come from areas such as Kerinci, West Sumatra, Central Java, and Yogyakarta, which are dominated by smallholder plantations. One of the MSMEs in Simarito Village, North Sumatra, is a cinnamon exporter with a capacity of 500-1000 tons per year. The success of this MSME is supported by the implementation of an effective STP (Segmentation, Targeting, Positioning) marketing strategy, product innovation, and a focus on quality and customer satisfaction. In an increasingly competitive market, developing marketing strategies and improving quality are the main keys to maintaining the sustainability of Indonesian cinnamon exports.

This study aims to design and develop a web-based stock and sales transaction management system that can help admins manage accounts, stock, transactions, and sales analysis using the Apriori algorithm. This system is designed with main features such as automatic transaction recording, real-time stock monitoring, and customer purchasing pattern analysis reports. The methods used in this study include needs analysis, system design, implementation, and testing using the black box testing method. The test results show that the system runs according to the design and can increase efficiency in managing sales data. However, there are several limitations such as the need for periodic database maintenance and limitations in raw material management. With this system, it is expected that the process of recording transactions and sales analysis can be carried out faster and more accurately, thus helping in making business decisions.