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Phonecards used by companies as media for its coffee products in Brazil: Coffee images in phonecards
No full textThe aim was to identify phonecards circulated in Brazil with prints associated with coffee as well as their number and use by companies as advertising means for coffee brands. The study was carried out in a phonecard collection in Sete Lagoas, Minas Gerais, Brazil. The front and back of the cards were analyzed. Images of 23 different coffee brands were printed on 25 phonecards, which were produced in 1997, 1999 and 2000, with the month with the highest number of cards produced being January 2000, with nine. Print runs of 5,000, 10,000 and 16,000 were identified with the first being the prevalent one with 19 cards. The front of the cards was printed with images of company logos, branches with ripe coffee beans, bags with coffee brand names, certification stamps, and coffee cups, while the back with the company address and telephone and fax numbers. Coffee companies, mostly from the states of Bahia and Minas Gerais displayed their product images on phonecards as means of visual communication and advertising to other regions. The interest in the production of phonecards suggests that this form of product marketing financially benefited coffee producers in Brazil
Colonial encounters and culinary fusion: the evolution of indian food through trade, empire, and globalization
No full textAn exploration of the culinary legacy left by colonialism in India to demonstrate how they met and negotiated with each other to create what is now modern Indian gastronomy. Those were its pre-colonial roots in Indian cooking, the defining part of which developed under the decisive influence of the Portuguese, British, French, and Dutch colonial powers, introducing new ingredients and techniques along with an entirely new manner of consumption. Through thematic sections: ingredient exchange, hybridized cuisines, and socio-political implications of these, the chapter makes an argument that the culinary fusions in India are not just a gastronomical outcome, but a narrative of adaptation, resistance, and identity building. Much of the contemporary matters now under consideration, including cultural appropriation, culinary diplomacy, and the balance between authenticity and innovation in a globalizing food economy. This chapter argues that India's culinary terrain is a living archive of colonial encounters and calls for a critical yet celebratory mode of reckoning with food heritage in post-colonial contexts
Analysis of the Stacking Ensemble Learning Model of Categorical Boosting and Naïve Bayes Algorithms for Crop Selection Based on Soil Characteristics
Full text linkThis study aims to develop a machine learning model for selecting crop types based on soil characteristics, using the Categorical Boosting and Naïve Bayes algorithms as base learners. Next, an ensemble learning technique using a stacking approach was applied to improve the performance of the base model that was built. This was done to analyze and compare the performance results of each ensemble model that was carried out. Model performance was evaluated using evaluation metrics including precision, recall, f1-score, and accuracy. The results of this study indicate that the stacking ensemble model with Random Forest as the meta learner can provide better performance compared to other ensemble models. This model achieved a precision of 98.85337%, a recall of 99.84848%, an F1-score of 99.84844%, an accuracy of 99.84848%, and a model training time of 78.61110 seconds. Based on these results, this study is expected to provide tangible contributions and new knowledge in plant selection classification based on soil characteristics, thereby aiding in the precise and efficient determination of suitable plant types
Activity test cream anti aging extract ethanol 70% star fruits leaves (Averrhoa bilimbi l.) on skin new zealand rabbit backs exposed to UV-A light
No full textSkin is an organ that protects humans from external influences. Damage to the skin can interfere with human health and appearance. One of the most feared things is premature aging, the main cause of skin aging and malignant melanoma is the entry of ultraviolet (UV) rays from the sun. One of the plants, namely starfruit leaves, has antioxidant content that can change or reduce free radicals and also as an anti-free radical such as flavonoids, saponins, alkaloids, and tannins. Cream can be used by applying it to the skin of the face to prevent anti aging. Objective: To determine the activity of anti-aging cream of 70% ethanol extract of starfruit leaves (Averrhoa bilimbi L.) on the back skin of New Zealand rabbits exposed to UV-A light. Methodology: Extract starfruit leaves using the maceration method with 70% solvent and make a cream preparation to test anti-aging activity with concentrations of 3%, 5%, and 7%. Results: Formulation 3 with a concentration of 7 % of starfruit leaf extract cream can provide optimal effects as an anti-aging agent when exposed to UV-A rays, seen from the average value which is almost the same as the positive control
Information system of horticultural seed ordering at republik bibit nursery using laravel
Full text linkThe integration of information technology plays a vital role in improving organizational performance and supporting sustainable agricultural practices through efficient seed management systems. The existing manual seed ordering and purchasing process at Republik Bibit Nursery has led to several inefficiencies, including inaccurate stock data, transaction errors, and difficulties in estimating seed requirements. This study aims to develop an Information System of Horticultural Seed Ordering at Republik Bibit Nursery using the Laravel framework to digitalize the ordering process and enhance operational efficiency. The primary objective is to streamline order management, enable real-time stock monitoring, track seedling growth, and assist customers in estimating seed quantities based on land size. The novelty of this research lies in the integration of e-commerce functionality with agricultural decision-support features such as growth tracking and stock forecasting—an advancement beyond conventional systems that focus solely on sales transactions. The system was developed using the Waterfall method, encompassing six stages: requirement analysis, design, implementation, testing, deployment, and maintenance. Data collection was conducted through observation, interviews, and literature review to ensure comprehensive system requirements. The implementation resulted in a fully functional web-based application featuring modules for user management, product management, transactions, and reporting. Through Black Box testing, all functional scenarios for different user roles—admin, owner, employee, and customer—achieved a 100% success rate, confirming the reliability of the system. The results demonstrate that this information system effectively minimizes transaction errors, reduces seed stock shortages, and enhances decision-making accuracy for both administrators and customers. In conclusion, the developed system provides an efficient, scalable, and sustainable digital solution that supports the modernization of horticultural nurseries and contributes to the broader digital transformation of the agribusiness sector
Chocolate substitution with sweet soy sauce in making steamed brownies
No full textThis study aims to find out how sensory Assessment and receipt of steamed brownies with the substitution of sweet soy sauce differ and how the cost of production differs. The background of this study is that it looks at the opportunity for the presence of sweet soy sauce to be abundant in the market, as well as the opportunity for the absence of steamed brownie products that use sweet soy sauce. The Number of participants in this study amounted to 15 lecturers and students from The International Prima Tourism Polytechnic. The sampling technique is based on Gay and Diehl's theory (1992), which states that in experimental research, at least 15 people are trained panelists who are lecturers who are experts in their fields and students who practice real work in pastry. The hedonic test was conducted on 30 untrained panelists. Data collection is done using questionnaires/questionnaires with an ordinal scale. The analytical methods used are descriptive sensory test analysis and hedonic test. Data analysis techniques group random design analysis techniques and variant analysis (ANOVA) using calculations through Microsoft Excel were used. The study's results based on sensory and hedonic tests showed that steamed brownie products coded B2K2 with an increase in the concentration of sweet soy sauce by 30% is the best formulation based on Color, taste, aroma, Texture, and appearance parameters. It also showed that the cost of producing steamed brownies that use sweet soy sauce was lower than that of steamed brownies control products
Topic modelling analysis of public policy narratives on prabowo-gibran in national news
Full text linkThe rapid acceleration of digital transition has become an inevitable reality of the modern era. The proliferation of online communication platforms, news portals, and heterogeneous data formats has substantially increased big data volumes, leading to large-scale collections of unstructured data. This study aims to analyze dominant public policy–related topics concerning the Prabowo–Gibran administration by applying topic modeling techniques to national online news media. Latent Dirichlet Allocation (LDA) and Non-negative Matrix Factorization (NMF) were employed as unsupervised learning approaches to extract latent semantic structure from a corpus of 200 credible news articles collected through URL fetching using Python 3. Data preprocessing included text cleaning, tokenization, bigram and trigram construction, and the development of a dictionary and corpus. Model performance was evaluated using topic coherence metrics, yielding scores of 0.3709 for LDA and 0.68 for NMF. To examine temporal dynamics, the dataset was divided based on the official inauguration date of the president and vice president, enabling a comparative analysis of dominant topics before and after the inauguration. Topic similarity across both periods was measured using cosine similarity, with the highest similarity score of 0.663 observed between Topic 4 in the pre-inauguration period and Topic 1 in the post-inauguration period. The findings provide insights into evolving media discourse and policy-related topic trends across the two periods, demonstrating the potentials of topic modeling in analyzing large-scale unstructured news data for diverse purposes to bridge computational science and empirical evidence of social science
Effects of Moringa Leaf Extract on a Mouse Model of Dementia on Spatial Memory, MDA Levels, and Hippocampal Pyramidal Cell Count (CA1 & CA3)
No full textAntioxidants are substances needed by the body to neutralize free radicals and prevent damage caused by free radicals. Moringa leaves contain flavanoids, alkaloids, saponins and tannins that are antioxidants because of their ability to capture free radicals. This study aims to determine the effect of moringa leaf fractions on spatial memory ability using the Radial Arm Maze method, a decrease in malondialdehyde levels and inhibition of damage to the number of hippocampal pyramidal cells in CA1 & CA3 areas. Moringa leaves were extracted using the maceration method with 70% ethanol solvent. Then the ethanol extract of Moringa leaves was fractionated using the liquid-liquid method with n-hexane, ethyl acetate and water as solvents. Next, the mice were subjected to induction treatment with lead acetate, then observed for 21 days with the Radial Arm Maze, then the mice underwent surgery and their brains were removed for MDA level testing and histopathological observation. Data were analyzed statistically using one-way ANOVA (p<0.05) followed by Tukey's test. Based on the results obtained, the ethyl acetate fraction, n-hexane fraction and water fraction can influence the improvement of spatial memory by reducing latency time and type B errors, reducing malondialdehyde levels with TBARS and inhibiting damage to CA1 and CA3 hippocampal pyramidal cells which are characterized by pknotic neuron nuclei (shriveled), dark, solid, and vacuolized
Grape leaf disease classification using efficientnet feature extraction and catboostclassifier
Full text linkGrapes are one of the most extensively cultivated crops worldwide due to their significant economic importance. However, the productivity of grape crops is often threatened by diseases caused by bacterial, fungal, or viral infections. Traditionally, the detection of infected grape leaves has been conducted through manual visual inspections, a method that is both time-consuming and prone to biases. Recent studies have leveraged transfer learning models to classify grape leaf diseases with high accuracy. Despite this progress, there is a notable gap in research exploring the integration of transfer learning for feature extraction and machine learning for feature classification in detecting grape leaf diseases. This study introduces a novel approach that combines transfer learning using EfficientNetB0 for feature extraction with a machine learning model, specifically Categorical Boosting (CatBoost), for feature classification. The proposed model demonstrates outstanding performance, achieving an accuracy of 99.56% on the test dataset, surpassing traditional transfer learning methods reported in previous studies
Design and implementation of a web-based thesis guidance system using the waterfall method
Full text linkThe advancement of technology and the internet has opened up opportunities for the development of information systems in higher education in Indonesia. One significant system is the online thesis guidance system for students. Currently, the guidance process at ISI Surakarta is conducted manually and face-to-face, which has proven to be less effective due to scheduling conflicts between students and lecturers, leading to delays in thesis progress. The development of the online thesis guidance system aims to facilitate interaction between lecturers and students while digitally storing review histories and revisions, enhancing the efficiency of administrative data collection. Additionally, the system is designed to provide announcements and timelines from proposal submission to eligibility examinations, helping students monitor their performance to graduate on time. The Waterfall method is employed in this system's design to ensure a systematic development process, covering all stages from requirements analysis to maintenance. This method allows early detection of potential conditions and ensures that user needs are met before the system is implemented. The implementation of this system is expected to improve the efficiency and quality of academic services, support students in completing their studies on time, and provide benefits to the entire academic community of ISI Surakarta