bluuebunny/crossref_metadata_2025 huggingface dataset:
PERSEPSI PETANI JAGUNG TERHADAP EFEKTIVITAS METODE PENYULUHAN PERTANIAN DI DESA MODELIDU
Authors: Syamsir  , Abidin Zainal , Jafar Isran , Jafar Muh Iqbal
Published: December 2024

Penyuluhan pertanian menjadi salah satu faktor utama dalam berhasilnya sektor pertanian, penyuluh pertanian memegang peranan penting dalam proses penyaluran informasi dan pengetahuan kepada petani termasuk peningkatan keterampilan petani. Penyuluh pertanian dapat berasal dari lembaga pemerintah maupun swasta dengan satu tujuan bersama berupa mensejahterahkan petani dan keluarganya. Tujuan dari penelitian ini yaitu menganalisis persepsi petani terhadap 4 metode penyuluhan pertanian yang dilaksanakan di Desa Modelidu Kabupaten Gorontalo, yaitu metode temu lapang, temu wicara, demonstrasi dan metode ceramah. Metode pengambilan data menggunakan metode observasi dan wawancara terstruktur menggunakan panduan wawancara. Data primer didapatkan dari petani jagung yang ada di Desa Modelidu, sedangkan data sekunder didapatkan dari kantor desa, Badan Pusat Statistik dan artikel penelitian yang relevan dengan topik penelitian. Metode analisis data menggunakan pendekatan kuantitatif, berupa tabulasi hasil jawaban responden penelitian yang disajikan lewat tabel dan grafik kemudian diikuti dengan ulasan deskriptif.  Data dianalisis menggunakan skala likert dengan skala lima (sangat setuju, setuju, kurang setuju, tidak setuju, sangat tidak setuju). persepsi petani terhadap metode penyuluhan temu lapang mendapatkan skor tertinggi dengan rata – rata skor 191,67, hal ini membuktikan bahwa petani jagung di Desa Modelidu menganggap metode temu lapang efektif dilaksanakan dalam kegiatan penyuluhan meskipun metode ini merupakan metode konvensional, metode temu wicara tidak terlalu mendapatkan atensi yang besar dari masyarakat dengan sistem pertanian yang masih konvensional dengan skor rata – rata persepsi petani sebesar 182.
ANALISIS WILLINGNESS TO PAY (WTP) TERHADAP PEMBELIAN KOPI BIJI SALAK (Salacca zalacca) DI UMKM SARISA MERAPI
Authors: Puspita Saskia Helen , Yekti Ananti , Hermawan R.
Published: December 2024

Kopi biji salak merupakan produk inovasi UMKM Sarisa Merapi yang diolah dengan bahan baku serbuk biji salak dan kopi robusta. Kopi biji salak memiliki kandungan senyawa kimia yang bermanfaat bagi kesehatan. Namun, masyarakat belum bersedia membeli produk kopi biji salak. Penelitian ini bertujuan untuk (1) mengestimasi nilai WTP kopi biji salak (2) menganalisis faktor-faktor yang memengaruhi nilai WTP terhadap pembelian kopi biji salak. Jumlah responden dalam penelitian ini sebanyak 50 orang yang dipilih menggunakan teknik purposive sampling. Terdapat dua metode untuk menganalisis estimasi nilai WTP dan faktor-faktor yang memengaruhinya yaitu contingent valuation method dan regresi berganda. Hasil penelitian menunjukkan bahwa faktor-faktor yang berpengaruh signifikan terhadap nilai WTP kopi biji salak yaitu usia, tingkat pendidikan, pendapatan, dan kualitas. Estimasi nilai WTP kopi biji salak di UMKM Sarisa Merapi sebesar Rp11.040 per produk. Harga tersebut lebih tinggi dibandingkan harga jual kopi biji salak di UMKM Sarisa Merapi sebesar Rp10.000.  Temuan ini dapat menjadi acuan bagi pemerintah dan lembaga terkait dalam memberikan dukungan dan pembinaan kepada UMKM untuk meningkatkan daya saing produk lokal di pasar. Peningkatan harga jual kopi biji salak yang melebihi harga jual saat ini menunjukkan adanya potensi keuntungan yang dapat diraih, yang pada akhirnya dapat meningkatkan kesejahteraan pengusaha UMKM.
The Impact of Beauty Brand Education on Vocational Values, Career Decision, and Collaborative Adaptability: Focusing on Juno Academy
Authors: Kim Jun-Young , Park Eun-Jun
Published: December 2024

This study aimed to investigate the impact of vocational values on job application and career decision after beauty brand education, focusing on Juno Academy graduates. A survey was conducted among 300 graduates, and the data were analyzed using SPSS for frequency analysis, factor analysis, reliability analysis, and regression analysis. The results showed that intrinsic and extrinsic vocational values significantly influence career decisions and job application. Specifically, intrinsic values had a stronger positive impact on self-analysis and retraining willingness, while both intrinsic and extrinsic values positively affected career competency. These findings suggest that systematic beauty brand education, such as that provided by Juno Academy, positively shapes vocational values, enhancing job satisfaction and long-term career decisions. Consequently, beauty education programs should emphasize developing intrinsic values to foster more satisfied and committed professionals in the beauty industry.
The Influence of Anthropomorphism and Presence on the Acceptance Intention of Makeup Image Optimization Recommendation Systems Utilizing Deep Learning Technology: Focusing on the Mediating Effect of Cognitive Absorption
Authors: Lee Myoung-Joo , Chen Hong , Choi Esther
Published: December 2024

This study was conducted to understand the relationship between HCI (Human-Computer Interaction) factors, user cognitive absorption, and acceptance intention in makeup image optimization recommendation systems. A preliminary survey and main survey were carried out targeting adults in their twenties, and various statistical methods including frequency analysis, exploratory and confirmatory factor analysis, and structural equation modeling were used to analyze the data using SPSS and AMOS programs. The results of the study confirmed that the survey items consistently and reliably measured each variable through reliability and validity analysis, and the model’s high fit was proven through principal component analysis and confirmatory factor analysis. Correlation analysis showed significant positive relationships between all variables, and most paths in hypothesis testing through structural equation modeling were statistically significant. In particular, a significant partial mediating effect was found in the path where anthropomorphism affects acceptance intention mediated by curiosity. This means that HCI factors such as anthropomorphism and presence positively influence the acceptance intention of the recommendation system through various aspects of cognitive absorption, such as user engagement, temporal dissociation, curiosity, and pleasure. These results provide important implications for user-centered service design and improvement, suggesting that it is possible to move towards increasing user satisfaction and loyalty by accurately reflecting individual user needs and preferences. Additionally, the findings promote a deeper understanding of technological innovation in the beauty industry and user experience design, laying the foundation for effective user-centered service development.
Comparative of A,M,L Company’s Nature Color on a Professional Coloring Chart
Authors: Hwang Su-Kyeong , Park Eun-Jun
Published: December 2024

It's human nature to crave beauty, and to this day, many people spend a lot of time taking care of their appearance. The desire to be beautiful has led to the rapid development of the beauty industry, but it is not supported by the professional knowledge of hair salon workers. This study aims to help the beauty industry by comparing and analyzing the differences between the hair color charts of various hair dye companies by quantifying the lightness (L*), redness (a*), and yellowness (b*) of their non-reflective natural hair dyes to improve the professionalism of hair salon workers and increase customer satisfaction. The colorimeter (CR-400, Chroma meter) used for the color comparison was a Konica minolta (Tokyo, Japan), and the values of lightness (L*), redness (a*), and yellowness (b*) of the hair color charts of Company A, Company M, and Company L were measured five times and compared. The results showed that Company M had the highest brightness and Company L had the lowest, while Company A had the highest redness and Company L had the highest yellowness. Although there are limitations in that the selected hair dye brands and colors were not diverse, and comparisons with actual dyeing results could not be made, this study is expected to help identify the differences between natural hair dyes, and to increase the professionalism of hair salon workers to increase trust with customers, which will benefit the Korean beauty industry.
A Study on the Reduction of the Use of Disposable Nail Products for the Sustainability of the Beauty Industry
Authors: Kim Chae-Lin , Kim Jee-Hee
Published: December 2024

This study attempted to consider the sustainability of the beauty industry and seek ways to reduce the use of nail disposable products. To this end, in-depth interviews were conducted with literature studies on environmental consciousness, sustainability, nail industry and environment in the beauty industry, and 13 beauty experts. Based on the results, a reduction in the use of nail disposable products and alternative measures were suggested. First, in order to reduce the use of nail disposable products, measures to activate the use of alternative products, reuse and recycling, improve disinfection equipment used in nail shops, and activate refill products were suggested. In addition, the waste collection service and empty bottle collection service of nail shops, and the individual product keeping system should be activated. Second, it is necessary to develop eco-friendly nail products and improve the containers of existing products. Third, education, institutional support, and active public relations strategies are needed as measures to improve environmental consciousness. This study is meaningful in that it is used as basic data to raise environmental consciousness in the beauty industry and achieve sustainable development by devising measures to reduce the use of nail disposable products.
A Study on Three-Dimensional Expression in Body Painting through a Prism of Skeletal Muscle
Authors: Jiang Bing-Chao , Choi Min-Lyoung
Published: December 2024

Unlike other genres of fine arts, body painting is performed on the human body. For that reason, understanding of features of skeletal muscle in the human body should be required for an effective expression in body painting. Therefore, we aimed to grasp what is needed for systematic teaching of body painting and to help create lesson plans for body painting. In addition, an analysis was conducted of experimental observations made about body paint art design application based on an anatomical structure of a human body such as size, position, and function, etc so as to acquire a good understanding of skeleton muscles, on the base of which an exploration was carried out for body paint designs to obtain a rhythmical or/and three-dimensional visual effect. The findings of this study were as follows: First, the experimental observations showed that when a ratio of highlighted area to neck or arm muscle part in human frontal plane was 30%, a 3-5-7 phase of the brightness in the shading and highlighting made it look the most harmonious, a 2_5_8 phase of the brightness had the most three-dimensional effect, and a 2_5_7 phase made it look the most rhythmical. Second, when a ratio of highlighted area to body or leg muscle part in human frontal plane was 50%, a 2-5-7 phase of the brightness in the shading and highlighting made the best harmony, a 2_5_8 phase of the brightness had not only the most three-dimensional, but also the most rhythmical effect, according to the experimental observations. Third, the experimental observations disclosed that when a ratio of highlighted area to neck muscle part in human back plane was 30%, a 2-5-7 phase of the brightness in the shading and highlighting created the most harmonious impression, a 2_5_7 phase of the brightness had the most three-dimensional effect, and a 2_5_8 phase made it look most rhythmical. Finally, when a ratio of highlighted area to body, arm or leg muscle part in human back plane was 40%, a 3-5-7 phase of the brightness in the shading and highlighting made the best harmony, a 2_5_8 phase of the brightness gave the most three-dimensional impression, together with the most rhythmical effect, the experimental observations revealed.
The Impact of ESG Management Activities of Skin Care Shops on Revisit Intention: Focusing on the Mediating Effect of ESG Perception among Consumers in Their 30s and 40s
Authors: Kim Eun-Bi , Kwon Min-Seo , Lee Si-Young
Published: December 2024

This study analyzes the impact of ESG (environmental, social, and governance) management activities on revisit intentions among skin care shop users in their 30s and 40s in the Daegu and Gyeongbuk regions, examining the mediating effect of consumers’ ESG awareness in this relationship. The findings indicate that governance and environmental factors within ESG management activities have a significant positive impact on revisit intentions. Consumers’ ESG awareness mediates this relationship by strengthening the positive link between environmental management activities and revisit intentions, serving as a critical connection between the sustainability efforts of skin care shops and customer behavior. The study confirms that ESG management activities are essential for building customer trust, enhancing brand loyalty, and increasing revisit intentions. However, its focus on consumers in their 30s and 40s and reliance on self-administered questionnaires introduce limitations, including potential response bias and restricted age diversity. Future research should address these limitations by including more diverse demographic groups and incorporating behavioral data to improve generalizability and reliability. This study provides a theoretical and practical foundation for understanding how the ESG management activities of skin care shops can promote repeat visits and contribute to the economic growth of the beauty industry.
Antioxidant and Anti-inflammatory Effects of Stemona japonica Extracts Based on Different Solvents
Authors: Kim Ji-Eun , Seo Seung-Hee
Published: December 2024

The transformation of modern society, coupled with increased emphasis on interpersonal relationships and women’s social engagement, has heightened focus on skincare and cosmetics. Younger demographics, growing male interest, aging populations, pollution, and climate change have all contributed to a rising demand for functional cosmetics that address skin aging. This shift has driven interest in natural ingredients that offer benefits like hydration, elasticity, and anti-wrinkle effects, as consumers increasingly seek non-toxic options due to concerns over synthetic additives. Natural compounds with bioactive components have shown promising antioxidant, anti-inflammatory, anti-aging, and antimicrobial effects, making them attractive for skincare product development. Stemona japonica, traditionally used for its soothing, antioxidant, and anti-inflammatory properties, was studied for its skin-improving effects, with extracts obtained using various solvents (50% EtOH, 100% EtOH, and DW). Results showed that DPPH and ABTS radical scavenging activities increased with concentration across all extracts, with 50% and 100% EtOH extracts achieving antioxidant levels comparable to ascorbic acid. Additionally, Nitrite production in RAW 264.7 cells was significantly reduced across all extracts, especially in 50% and 100% EtOH extracts, showing effects similar to sulfuretin. In HaCaT cells, cytokines IL-6 and IL-8 secretion was notably decreased, with high-concentration 50% and 100% EtOH extracts showing prominent anti-inflammatory potential. TARC and RANTES expression levels, linked to skin inflammation, were also reduced across treatments, underscoring the extracts anti-inflammatory effects. In conclusion, Stemona japonica extracts, particularly those obtained with ethanol, demonstrated significant antioxidant and anti-inflammatory activity without cytotoxicity, indicating their potential as safe, effective agents for natural skincare applications. This research offers foundational data for developing safe, functional cosmetic products aligned with consumer demand for natural and non-toxic skincare solutions.
The Integration of Augmented Reality (AR) in the Beauty Industry and Its Market Potential
Authors: Lee Seo-An , Park Jeong-A
Published: December 2024

This study analyzes the impact of Augmented Reality (AR) technology on the beauty industry (hair, makeup, skincare, and nails) and explores future directions for the industry. Focusing on AR as a key technology of the 4th industrial revolution, the study conducted a literature review and case analysis, confirming that AR transforms traditional beauty services into customer-centered models emphasizing personalization, prediction, prevention, and participation.The findings demonstrate that AR accelerates digital transformation in the beauty industry, revolutionizing user experiences. In the hair sector, virtual styling and color trials enhance customer satisfaction, while AI-driven skin analysis and personalized product recommendations improve trust and purchase rates in skincare. In makeup, virtual try-ons support diverse product choices, and in nails, virtual design experiences provide convenient shopping opportunities.Furthermore, this study identifies business opportunities created by AR in the beauty industry and presents innovative applications for each domain. It highlights AR as a critical tool for enhancing customer experiences and industrial efficiency, offering actionable insights into digital transformation and sustainable development in the beauty sector.
AI-Driven Image Annotation for Plant Disease Detection Using Google Cloud Vision Platform
Authors: S Sabeetha Saraswathi , V Raju , A Dhanamathi , J Chitra , V Chandrasekar , M Rekha , V Thiruppathy Kesavan
Published: December 2024

: Enabling visual plant disease diagnosis through deep learning that analyses big data is essential to diagnose diseases quickly. It helps the farmers and enables them to treat early, reducing the crop losses needed for a sustainable increase in agriculture. Farmers’ losses were also reduced using these technologies. However, deep learning still has great potential for plant disease diagnosis, though many challenges are associated with it. For example, it requires large, annotated data sets of symptoms and processing resources. This study proposes a novel Cloud-based Image Annotation Plant Disease Detection (C-IAPDD), which employs cloud platforms such as Google Cloud Vision API for image annotation and plant disease detection. Instead of creating such datasets manually or using those non-annotated ones saved by farmers onto their mobile phones since sensors in the device can detect disease on a particular leaf whenever placed close to it. The proposed solution provides a connection to the Internet and offline as well. The ability of C-IAPDD to simplify large-scale envision dataset collection and annotation enables powerful deep-learning models. Using cloud infrastructure’s processing power and scalability makes this a highly efficient method of identifying plant diseases without compromising accuracy. Several simulation experiments have proved that C-IAPDD could recognize a wide range of plant diseases across different types of crops. This simulation shows that C-IAPDD performs better than other methods in precision, swiftness, and expandability. The results indicate that C-IAPDD may improve plant disease detection and control, leading to healthier harvests. These findings endorse I-CIAPDD for artificial intelligence in agriculture.
Machine Learning-Based Prediction System for Risk Assessment of Hypertension Using Symptoms Investigations
Authors: Kaur Simranjit , Bansal Khushboo , Kumar Yogesh
Published: December 2024

Hypertension is a common condition of cardiovascular disease that poses significant health challenges among the public on a larger scale globally. It is important to accurately predict the risk of hypertension to save people and improve overall quality of life. Traditionally, the detection of hypertension relies on clinical criteria such as blood pressure measurement and examination of medical history. However, these methods have drawbacks involving potential human error, time consumption, and the possibility of missed diagnoses. The paper aims to identify the features or symptoms of hypertension disease and predict its risk factors using machine learning algorithms. Apart from this, it is of utmost importance to identify the symptoms as they play a pivotal role in recognizing the type of risk for hypertension. To successfully conduct the work, a dataset of 13 attributes, including gender, age, smoking habits, etc, has been used, which is further visualized graphically to understand the pattern among them. Later, multiple machine learning-based learning techniques have been applied and examined on the basis of standard metrics. Results indicate that random forest models outperform existing approaches, achieving an accuracy of 87.26% in predicting low and high-risk hypertension. Furthermore, classification reports reveal superior precision, recall, and F1-score for random forests compared to alternative models. Insights from learning curves and confusion matrices provide a valuable understanding of model performance and data sufficiency. Overall, this research highlights the impact of machine learning in accurately predicting the risk of hypertension and underscores the importance of ongoing research efforts to translate these findings into practical clinical applications.
Image Captioning with Convolutional Neural Networks and Autoencoder-Transformer Model
Authors: Kavila Selvani Deepthi , Kavila Moni Sushma Deep , Sreerama Kanaka Raghu , Pittada Sai Harsha Vardhan , Singh Krishna Rupendra , Samatha Badugu , Rashmita Mahanty
Published: December 2024

This study deals with emerging machine learning technologies, deep learning, and Transformers with autoencode-decode mechanisms for image captioning. This study is important to provide in-depth and detailed information about methodologies, algorithms and procedures involved in the task of captioning images. In this study, exploration and implementation of the most efficient technologies to produce relevant captions is done. This research aims to achieve a detailed understanding of image captioning using Transformers and convolutional neural networks, which can be achieved using various available algorithms. Methods and utilities used in this study are some of the predefined CNN models, COCO dataset, Transformers (enc-BERT,dec-GPT) and machine learning algorithms which are used for visualization and analysis in the area of model’s performance which would help to contribute to advancements in accuracy and effectiveness of image captioning models and technologies. The evaluation and comparison of metrics that are applied to the generated captions state the model's performance.
Analisis Peningkatan Kualitas Air Minum Dalam Kemasan Menggunakan Integrasi Six Sigma dan Failure Mode and Effect Analysis
Authors: Hakim M. Hanifuddin , Ramadani Noviana Rina , Wirakusuma Kadex Widhy
Published: December 2024

PT. UMSurya Bina Bangsa is a company engaged in the production of Bottled Drinking Water (AMDK). The products produced by PT. UMSurya Bina Bangsa include Suli 5 in 120 ml and 240 ml sizes, as well as S-Five in 330 ml and 600 ml sizes. The issues faced by PT. UMSurya Bina Bangsa include Defects such as dented bottles and broken caps. The aim of this study is to improve the quality of bottled water products. The author of this study uses the integration of Six Sigma and Failure Mode and Effect Analysis (FMEA) methods to improve product quality. Based on the research results, the Root Cause Analysis (RCA) indicates that the majority of product Defects are caused by operator inaccuracy and the use of low-quality materials. Failure Mode and Effect Analysis (FMEA) results show that the highest RPN is caused by the bottle cap pressing process. From the Measure phase, sigma level calculations show a sigma value of 2.10 with a DPMO of 36,041. Improvement recommendations include creating racks for bottle caps to reduce Defects in broken caps, and adding dividers for bottles to prevent crushing while on the conveyor. From the estimated calculations, after implementing the improvement recommendations, the sigma level is expected to increase from 2.10 to 2.54.
Optimalisasi Proses Antrian di Gerai Es Krim KRM Dengan Pendekatan Simulasi ProModel
Authors: Utami Ni Made Cyntia , Sitanggang Bryan Estavan Imanuel , Anggita I Gusti Agung Mas Putri , Pratiwiningsih Windhi , Purnami Ni Luh Dian
Published: December 2024

KRM ice cream shop is a popular destination in Sanur, Bali. The intensity of customer visits on regular days is already quite crowded, even more so during the holiday season. Due to the location of Gerai KRM which is adjacent to the road sidewalk, it often causes congestion in the area. The long and less conducive queuing system is the main reason customers discourage coming. This research was conducted during peak hour, namely 11:00 to 13:00 which is lunch time. These data are then tested using the Stat::Fit feature to determine the type of data distribution. This type of data distribution will later be used to determine the length of the system process when tested in ProModel software, more precisely it will be included in the processing sequences section. The research results show that there is an entity of customers in waiting of 6.13% and blocked by 10.10% which is caused by a lack of capacity and service units in the system. Based on the problem, the proposed improvements given by the author are the addition of cashier units and also the queue capacity at the Ice Cream storefront service. The output of the proposed system simulation is a decrease in the percentage of blocked 1.32%. Then the percentage of full in the queue row which became 0% and the percentage of full in the ice cream storefront was reduced to 1.71%.
Desulfurisasi Batubara Dengan Metode Leaching Menggunakan Gel Lidah Buaya
Authors: Wahyuni Alfia , Tanjung Diva Amanda , Hapsauqi Iqbal , Desmiarti Reni , Desfitri Erda Rahmilaila
Published: December 2024

Coal is still the world's main energy source, widely used in power generation, steel production materials, cement industry, alumina processing plant paper factories and other chemical industries. Burning coal with high sulfur content produces sulfur dioxide gas (SO2), which can directly or indirectly disrupt the environment and contribute to air pollution and the formation of acid rain. Therefore, desulfurization has become an interesting research topic to improve coal quality. In this research, coal desulfurization is carried out using aloe vera gel as a solvent. 300 ml of aloe vera gel was contacted with 50 grams of coal using a magnetic stirrer with varying stirring speeds of 500 and 750 rpm, for duration 2, 3, 5 and 7 hours. Then, separated, dried, and analyzed for sulfur content, ash content, and calorific value. The results showed that the sulfur content decreased by 19.11% to 24.61%, the ash content decreased by 8.51% to 12.56%, and the calorific value was obtained respectively 6439cal/g, 6381 cal/g, 6433 cal/g, and 6467 cal/g.
Fermentasi Kopi Robusta Dengan Lactococcus lactis subsp. Untuk Meningkatkan Kualitas Rasa Kopi
Authors: Nurmalasari Enny , Kusmiyati Kusmiyati , Yahya Agung Kurnia , Heratri Agnes , Kubikazari Sinju
Published: December 2024

Fermentation in coffee provides new modulation to the taste and sensory profile of coffee, thereby enhancing its flavor quality. Lactic Acid Bacteria (LAB) strains are used for fermentation in the wet process and have been proven to improve the overall flavor of the coffee. Therefore, in this study, coffee fermentation will be carried out using Lactococcus lactis subsp. to improve coffee flavor quality. The study begins with preparing the starter medium, starter culture, and fermentation. Subsequently, proximate analysis and a cupping test are conducted to assess the flavor profile of the coffee. The results of this study show that coffee fermentation can increase the number of LAB with longer fermentation times. Furthermore, proximate results indicate that fermented Robusta coffee contains 7.86% less fat compared to non-fermented Robusta coffee, which has 15.02% fat. The cupping test results for fermented Robusta coffee reveal a total score of 81, with the clean cup and uniformity aspects scoring 10. This total is higher than that of non-fermented Robusta coffee, thus proving that fermentation using Lactococcus lactis subsp. can improve coffee flavor quality.
The Relationship of Canva Media Application to Students’ Creativity in the Pancasila Student Profile Strengthening Project
Authors: Gunawan Guntur , Noventi Reva , Asha Lukman , Yumiarti Yuyun
Published: December 2024

Aplikasi Media Canva merupakan salah satu aplikasi yang digunakan dalam kebutuhan mendesain baik poster, templet, baliho dan lainnya. Penelitian ini bertujuan untuk: (1) mengetahui ada atau tidaknya hubungan (korelasi) antara aplikasi media canva terhadap kreativitas siswa pada projek penguatan profil pelajar pancasila di SDN 02 Rejang Lebong. (2) mengetahui seberapa besar tingkat hubungan aplikasi media canva terhadap kreativitas siswa pada projek penguatan profil pelajar pancasila di SDN 02 Rejang Lebong.
Metode dalam penelitian menggunakan pendekatan kuantitatif dengan jenis penelitian korelasi. Populasi yang daimbil pada penelitian ini yaitu  siswa-siswi kelas V SDN 02 Rejang Lebong sebanyak 118 siswa. Sample pada penelitian ini sebanyak 30 siswa yang ditentukn berdasarkan teori Arikunto dimana sample diambil dari 25% jumlah populasi.  Untuk mengumpulkan data dalam penelitian ini, peneliti menggunakan angket (questioner) dan juga dokumentasi.
Adapun hasil dalam penelitian yang dilakukan penilitu ini yaitu menunjukkan bahwa (1) terdapat korelasi (hubungan) yang signifikansi antara aplikasi media canva dan kreativitas siswa yang di tunjukkan dengan nilai rhitung= 0,436, sedangkam rtabel dengan taraf signifikansi 5% dengan N=30 adalah 0,361 atau (0,436 > 0,361), (2) tingkat hubungan aplikasi media canva dan kreativitas siswa berada pada tingkat sedang atau cukup dengan rhitung = 0,436.
Students' Challenges and Approaches to Comprehending the TOEFL Reading Section
Authors: Aeni Nur
Published: December 2024

The TOEFL Reading Section presents a number of challenges for students, ranging from advanced vocabulary to dense academic passages to time management pressures. This abstract presents both the general obstacles faced by students when attempting to comprehend TOEFL reading tasks and those particular approaches that they apply to overcome these difficulties. This is a descriptive qualitative research.  Twenty-two of 7th semesters in English language education study program who enrolled in the TOEFL preparation class batch 7 were selected purposively to be the respondents of this study.  The instrument is in depth interview. Then the result of the interview was analyzed by contextual Analysis: Analyze how these themes emerge in different contexts or situations. Pay attention to nuances, such as differences between demographic groups, changes over time, or situational factors that might affect responses. The paper, based on the literature review and student feedback review, emphasizes strategic reading approaches-such as skimming, scanning, and making inferences-to enhance comprehension. Regular practice and resources outside of class, such as vocabulary-building tools and online reading comprehension exercises, are also emphasized. Results showed that students who have more actively practiced these strategies have increased their comprehension and time efficiency, and therefore did better on the TOEFL reading. This study emphasizes the importance of targeted instructional support in preparing students for the TOEFL in their acquisition of not only the requisite skills but also the self-confidence to succeed.
The Study of Literacy Pragmatics Approach to Moral Value in The Novel Surat Kecil Untuk Tuhan by Agnes Davonar
Authors: Kumala Sari Tetri , Andra Vebby , Aulia Sari Wenny
Published: December 2024

This study aims to describe the form of moral values in the novel Surat Kecil untuk Tuhan and the benefits of moral values for readers in the novel Surat Kecil untuk Tuhan by Agnes Davonar.  The approach used in this research is literary pragmatics approach. This research is a qualitative descriptive research.  The data source in this research is the text in the novel entitled "Surat Kecil untuk Tuhan" by Agnes Davonar which contains moral values. The data collection technique is done by means of documentation and literature study. This research focuses on issues related to the analysis of moral values with a pragmatic approach. The results showed that the form of moral values has three types, namely the first form of moral values in human relations with God has variants in the form of faith and prayer to God, the second form of moral values in human relations with oneself has variants of patience, sincerity and student responsibility for education, while the form of moral values in human relations with other humans has parents' advice to children, advice between friends, parents' affection for children, children's affection for parents, affection between friends, and parents' responsibility to children. The benefits of moral values contained in the novel Surat Kecil untuk Tuhan are several variants, namely accepting God's destiny, being firm, surrendering, working hard, praying to God, not giving up easily, and not being steadfast in facing trials.
The effect of mycorrhiza-inoculated succession-planted main crop (maize-wheat) and cover crop rotation on soil organic carbon
Authors:   Department of Soil Science and Plant Nutrition, Faculty of Agriculture, Cukurova University, Turkey, Akşahin Veysi , Ortaş Ibrahim ,   Department of Soil Science and Plant Nutrition, Faculty of Agriculture, Cukurova University, Turkey
Published: December 2024

There has long been intense pressure on input-based traditional agriculture due to the rising need for food. These kinds of agricultural techniques result in poorly managed soil-plant interactions that ultimately affect all living activities and human health by altering and destroying the soil's natural structure, rendering it infertile, and degrading soil quality. Research was carried out a study to find out how mycorrhizae-inoculated cover crops affected soil quality and growth metrics. The study to pot experiment was carried out under greenhouse conditions. Five different plant combinations (cover crop) patterns were inoculated with selected and indigenous mycorrhizae spores that were isolated from the rhizosphere soils of plants grown in three degraded soils. Five different cover plant combinations, such as A: Clover, Grass, Onion; B: Faba Bean, Grass, Safflower; C: Clover, Grass, Safflower, Faba Bean, Onion; D: Maize; and E: Wheat, were planted in 7 kg soil-containing pots with three replications. The seeds of different plants were planted per m2 surface of each pot, with the number of seeds per pot calculated depending on their sowing amount per hectare. Sixty days after planting, the plants were harvested by cutting 0.5 cm above the soil surface with scissors. In the second rotation experiment, after the harvest of the first rotation experiment, maize (Zea mays L.) was planted on the A, B, C, and D patterns, and wheat was planted on the E pattern. In the third rotation, wheat was sown on all pots after the second maize harvest. As a result of successive three-pot experiments on the same soils, were analyzed for the soil organic carbon (SOC) concentrations. In general, treatments with Funneliformis mosseae followed by indigenous mycorrhiza spores led to an increase in soil OC concentration compared to control treatments. SOC concentrations in Havutlu and Arık soils were higher than those in Avadan soil. Avadan is a highly eroded soil and has high lime content, high pH, and low soil fertility. When consecutively planted trials are examined, the soil SOC concentration increased from the first trial to the last trial for all soils. The obtained SOC results seem to partially support the research hypothesis. The results revealed that poorly managed soil requires rehabilitations with various combinations of cover crops.
Bosques energía sociedad nº17. Consumo de leña y otros biocombustibles sólidos en la región de Coquimbo: uso histórico de la biomasa como energético estratégico residencial
Authors:   Instituto Forestal (Chile), Sanhueza Rafael , Reyes René , Schueftan Alejandra , Pinto Joselyn
Published: December 2024

Se estimó para el sector residencial urbano y rural de la región de Coquimbo un consumo total de energía residencial de 1.476,6 GWh/año, el cual está fuertemente marcado por el gas licuado y la electricidad, sin embargo la leña representó el 2,7% de la matriz energética en el sector urbano y el 17,2% en el sector rural. De este modo, el volumen total de leña consumida en el sector residencial fue de 38.846 m3 sólidos, los cuales se concentran en un 25% en áreas urbanas y 75% en zonas rurales. Sin considerar departamentos, el 12,6% de los hogares urbanos y el 60,5% de las viviendas rurales utilizan leña, donde el uso para cocinar alimentos se asocia directamente a una mayor intensidad de consumo de leña. La leña utilizada en el sector residencial proviene en un 35% de parra (Vitis spp.), 27% eucalipto (Eucalyptus spp.), 10% de desechos forestales y un 28% restante distribuido entre espino (Acacia caven), molle (Schinus latifolius), palto (Persea spp.), quisco (Echinopsis chiloensis), sauce (Salix spp.), pino (Pinus spp.) y otros. Pese a que en la región se registra un bajo consumo de leña por vivienda, los resultados reflejan que continúa un uso histórico de la biomasa como combustible estratégico complementario a otros energéticos, principalmente en los hogares rurales y urbanos con menores ingresos económicos.
USING AN EXTENDED LEAST SQUARES MODELTO FIND GROSS ERRORS IN A SERIES OF MULTPLE MEASUREMENTS
Authors: DEGTJAREV A. , IVASHNIOVA A.
Published: December 2024

To find gross errors in a series of repeatedly measured values of one quantity, an extended model of the least
squares method is used, in which gross errors are included in the determined values. The final localization of gross errors
is carried out on the basis of statistical testing according to the obtained one-dimensional algorithm based on the data
snooping algorithm developed in the 50s by the Dutch surveyor Baarda.
Anti-microbial Edible Films and Their Applications to Improve Food Quality and Reduce Environmental Pollution: A Review
Authors: Al-Hadidy Yasmeen I. Al-Hadidy , Werdi Chalang M. , Khalaf Anwer Ahmad
Published: December 2024

In view of modern trends towards protecting the environment of food packaging materials, along with preserving food quality and safety, especially about the use of industrial packaging materials, especially non-degradable plastic materials, and the health and environmental damage resulting from their widespread use. Therefore, the current article included highlighting the preparation of anti-microbial Edible Films from natural biological sources, as many types of bacteria, algae and yeasts can produce biopolymers with properties suitable for food packaging, at the same time they are automatically degradable in the environment. The attention of specialists turned towards Edible Films, a natural, biological alternative that is edible and safe for health, at the same time does not cause environmental pollution. This technique has been applied to different types of fresh and processed foods. There are many natural biological sources for preparing edible films, such as proteins (such as milk proteins, wheat gluten, corn zein, etc.), polysaccharides (starch, pectin, cellulose and its derivatives, chitosan, carrageenan, etc.), lipids such as (waxes and glycerides), or a mixture of these compounds. The manufacture of these membranes provides many desirable properties in food, such as maintaining the moisture of the food, preventing the loss of volatile aromatic flavor compounds, reducing the migration of fats, and prolonging the storage life of the food by inhibiting microbial growth and incorporating substances into the membrane solution such as antimicrobials or antioxidants, and food additives, thus improving the appearance, sensory and nutritional properties of the food product.
A Critical Analysis of Associated British Foods PLC Shareholder Wealth Creation in the Five-Year Period From 2017 to 2021
Authors: Aladhi Malak Musnad
Published: December 2024

This study examines Associated British Foods PLC's (ABF) performance in maximizing shareholder wealth over a five-year period from 2017 to 2021. Utilizing a mixed-method approach combining quantitative financial analysis with qualitative assessment of strategic factors, the research investigates ABF's share price performance, dividend policies, and key financial ratios. The study also compares ABF's performance with its industry peer, J Sainsbury PLC, to provide context within the competitive landscape. Findings reveal that despite initial underperformance against the FTSE 350 index, ABF demonstrated significant recovery, particularly in 2021/22, with improved share price performance and dividend payouts. The company consistently maintained higher net profit margins and lower debt ratios compared to its competitor, indicating effective cost management and a conservative financial structure. ABF's diversified portfolio and focus on innovation and sustainability appear to have contributed to its resilience and ability to create shareholder value. However, areas for improvement, such as asset utilization efficiency, were identified. This research contributes to the understanding of shareholder value creation strategies in the food and retail sectors, offering insights for both academics and practitioners in the field of corporate finance and strategic management.
Exploring Digital Entrepreneurship: A Qualitative Study on New Business Models and Digital Marketing Strategies
Authors: Razak Nurlaely , Syamsu Nur , Djunaid Muhammad Rusli , Djunaid Muhammad Rusli , Tenriolle A.
Published: December 2024

This qualitative study explores the dynamics of digital entrepreneurship and marketing, aiming to provide insights into the multifaceted nature of the digital economy. Employing a systematic literature review and thematic analysis methodology, the research delves into the role of platform-based business models, digital marketing strategies, and emerging trends within the digital landscape. The study reveals that platform ecosystems play a pivotal role in driving value creation and innovation, serving as catalysts for entrepreneurship by providing essential infrastructure and opportunities for value exchange. Additionally, it emphasizes the significance of data-driven decision-making and marketing analytics in optimizing digital marketing strategies, enabling businesses to deliver personalized experiences and drive engagement across multiple channels. Key findings include the transformative implications of platform-based business models for various stakeholders, the importance of user-centric design principles in enhancing customer experiences, and the challenges posed by regulatory compliance and technological integration. The study contributes to theoretical understanding by elucidating the complexities of digital entrepreneurship and marketing, while also offering practical implications for entrepreneurs to navigate the competitive digital marketplace successfully.
A Inovação no Contexto de Documentos que Regulamentam e Orientam a Formação de Bacharéis e Licenciados em Química
Authors: Moura de Freitas Flávia , Bork Abib Paola , Sangiogo Fábio André
Published: December 2024

A formação do profissional em Química abrange conhecimentos teóricos e práticos, habilidades e competências, além de aspectos educacionais e específicos voltados à atuação em diversos segmentos. Esses elementos são orientados por legislações e documentos que regulamentam e habilitam a prática profissional que está intimamente ligada às transformações contínuas em seu campo de atuação, as quais servem de base para que as legislações evoluam e atendam às novas demandas da sociedade. O presente estudo analisa as inovações presentes em documentos que servem de orientação aos cursos de Bacharelado e Licenciatura em Química, através da metodologia da Análise Textual Discursiva. Três categorias emergem dela: 1) Inovação Curricular e as perspectivas para o Ensino Superior em Química; 2) Inovação Profissional para a transformação social; e 3) Inovação Científica e Tecnológica: produção e difusão do conhecimento. Os documentos orientadores sugerem a inovação presente em mudanças curriculares focadas na autonomia das universidades e cursos para atender às demandas sociais e dos profissionais em formação. Apontam também que as inovações impulsionam e são impulsionadas pelo desenvolvimento científico e tecnológico, que promove o progresso nos setores universitários e industriais, dentre outros que desenvolvem a ciência química. Ademais, é essencial que os documentos sejam continuamente revistos pelos órgãos de fomento e organizações, como o Conselho Federal de Química, e adequados, principalmente, às inovações/transformações para o desenvolvimento da área e à capacitação profissional, mobilizando, assim, o progresso da Ciência, da Tecnologia e da Inovação, articuladas à renovação social.
疑免疫球蛋白G4-相關肥厚硬腦膜炎引起雙側視力喪失
Authors: 林惠真 林惠真 , Hui-Chen Lin 彭百慧 , Pai-Huei Peng 胡朝乾 , Chao-Chien Hu 周玉瑜
Published: December 2024

免疫球蛋白G4-相關疾病是一纖維發炎性異常，影響許多器官，最常影響的部位包含有胰臟、肺、甲狀腺、淋巴結、膽管、後腹膜、淚腺、及唾液腺。 肥厚硬腦膜炎為其非常罕見的表現。我們提出一老年男性逐漸無痛性雙眼視力喪失，眼科檢查時右眼視力僅為見手動，左眼已無光覺。眼底檢查發現視神經盤水腫合併視網膜前出血。腦部電腦斷層顯示水腦，脊椎穿刺確定腦壓升高，腦部核磁共振發現左側大腦半球及大腦鐮硬腦膜增厚，血清免疫球蛋白升高，但是硬腦膜切片並無免疫球蛋白G4-相關疾病的病理表現。由於懷疑是免疫球蛋白G4-相關肥厚硬腦膜炎，他開始口服低劑量類固醇治療，可惜治療四個月後追蹤視力及硬腦膜增厚並無改善。

 

Immunoglobulin G4-related disease (IgG4-RD) is a fibro-inflammatory disor-der affecting numerous organs. The most common sites of involvement are pancreas, lungs, thyroid gland, lymph nodes, bile duct, retroperitoneum, and lacrimal and sal-ivary glands. Hypertrophic pachymeningitis is a very rare manifestation of IgG4-RD. He we describe an old man who suffered from painless, progressive bilateral visual loss. On ocular examination, his vision was hand motion in the right eye and no light perception in the left eye. Fundus examination showed severe papilledema with pre-retinal hemorrhage. Brain computed tomography revealed hydrocephalus. Lum-bar puncture confirmed high intra-cranial pressure. Brain magnetic resonance imag-ing uncovered dural thickening at left hemisphere and tentorium. His serum IgG4 level was elevated. However, dural biopsy did not present the hallmarks of IgG4-RD features. As there was suspicion of IgG4-related hypertrophic pachymeningitis, he received oral low-dose steroid treatment. Unfortunately, his vision and thickened dura had not improved after 4 months of steroid treatment.

 
非典型表現之雙側創傷性頸動脈海綿竇瘻管：病例報告
Authors: 林惠真 林惠真 , Hui-Chen Lin 唐甄蔚 , 陳彥如 陳彥如 , 施玫如 施玫如 , 鄭成國 鄭成國
Published: December 2024

頸動脈海綿竇瘻管是頭部外傷後罕見的併發症，會引起相當嚴重的結果。我們報告了一位24歲男性在車禍兩星期之後出現了雙眼突出及眼球轉動異常的症狀，病患雙眼視力及眼壓正常，結膜沒有充血及水腫，經由電腦斷層血管攝影診斷為雙側頸動脈海綿竇瘻管，病患進行了兩次血管內栓塞治療後，眼部的症狀獲得改善。雙側外傷性頸動脈海綿竇瘻管是相當罕見的疾病，常見的症狀包括結膜充血水腫、眼壓上升、眼球突出、眼球轉動異常、視力下降，沒有及時治療的頸動脈海綿竇瘻管將會導致嚴重的後果，因此頭部外傷後出現以上任一症狀，都應該保持高度警覺，讓病患能早期獲得正確的診斷與適當的治療。

 

Carotid-cavernous fistula (CCF) is a rare sequela of head trauma, with poten-tially serious consequences. We report the case of a 24-year-old male patient who presented with bilateral CCFs two weeks after a traffic accident. He was found to have progressive proptosis, ophthalmoplegia without decreased vision, elevated in-traocular pressure or conjunctival chemosis. Subsequent computed tomographic an-giography confirmed a bilateral CCF. After the patient underwent two endovascular embolization procedures, the ocular symptoms were improved. Bilateral CCFs are extremely rare after craniofacial trauma. The most common signs of traumatic CCF include chemosis, elevated intraocular pressure, proptosis, impaired eye movement, and decreased vision. Untreated CCFs may result in severe consequences, therefore, a high index of suspicion must be maintained to establish a diagnosis and undergo an appropriate treatment.

 