Improving the Quality and Shelf Life of Tauco at CV Tauco Cap "Meong" Cianjur Through Thermal Treatment and Formulation Enhancement

Traditional fermented foods like tauco play a significant role in Indonesian culinary heritage. However, many micro and small enterprises (MSEs) face challenges related to inconsistent product quality and short shelf life. Tauco Cap “Meong,” a local producer in Cianjur, West Java, experiences similar limitations due to spontaneous fermentation, high water activity (Aw), and inadequate thermal treatment. These issues lead to microbial instability and sensory degradation during storage. This community engagement project aimed to optimize tauco production by improving formulation, introducing food-grade preservatives (BTP), and applying controlled thermal processing. The interventions included pH adjustment using 0.75% food acid, Aw reduction through thermal treatment, and the addition of stabilizers such as 0.1% CMC and xanthan gum, followed by hot filling and sealed packaging. Results showed that pH adjustment successfully lowered the pH from 4.6 to 4.3–4.4, shifting the product into a lower-risk microbial category while maintaining favorable color, aroma, and viscosity. Aw was reduced from 0.89 to 0.87 and 0.79 with 15 and 23 minutes of heating, respectively, although over-thickening and darker color were observed in the latter. After 75 days of storage, treated samples showed no phase separation or spoilage, with final Aw at 0.806 and total plate counts (TPC) of 1.5 × 10⁴ CFU/g, significantly lower than untreated controls. Sensory quality, particularly homogeneity and aroma, remained acceptable throughout storage. These improvements demonstrate the feasibility of simple, low-cost technological interventions to extend shelf life and enhance product stability in small-scale fermented food production

Analysis of Sustainability of Shallot Farming in Pabedilan District, Cirebon Regency

This study aims to analyze the level of sustainability of shallot farming in Pabedilan District, Cirebon Regency, based on three main dimensions, namely economic, social, and environmental. Shallots are a superior horticultural commodity that contributes significantly to farmers\u27 income, but their sustainability faces various challenges. The method used in this study is composite index analysis, with 30 respondents selected purposively. The results of the study indicate that the economic dimension is in the fairly sustainable category, the social dimension is in the sustainable category, and the environmental dimension is still at a less sustainable level. Factors that influence sustainability include limited access to capital, lack of diversification of information sources, and the use of chemical agricultural inputs which is still high. Therefore, it is necessary to strengthen the capacity of farmers through continuous training and facilitation of access to environmentally friendly technology to improve the sustainability of shallot farming as a whole

Contribution of Highland Bamboo for Income of the Households and Challenges in Gurage zone, Central Ethiopia

Bamboo resource has numerous socioeconomic, ecological and cultural benefits. In Ethiopia, local farmers rely on bamboo as an alternative livelihood option. It provides a considerable share for the various household incomes. The main purpose of this study was to assess challenges and the contribution of bamboo for income of the households in Gurage Zone, across central Ethiopia. A sample of 216 households, were selected by using multistage sampling procedure. Data was collected through household survey, focus group discussion and review of reports. Descriptive, frequency and multiple linear regression model methods were used to estimate the contribution of bamboo and to identify determinants bamboo production. The finding revealed that respondents were highly relying on bamboo for household use, construction, fuel wood, fencing and fodder for livestock. The result of bamboo income share shows that, 14% Bamboo can contribute to the total income of the households. Income from bamboo ranks third next to crop and livestock production. The result of multiple linear regression model revealed that, Educational level of household head and Distance to the market were negatively affect income generated from bamboo. In contrast, the culm price Bamboo was positively and significantly affect income generated from bamboo production. Market related and knowledge on bamboo production and processing were the most challenges identified by the households. Bamboo contributes a remarkable income share for households in the study area. Creating conducive production environment for the bamboo sector plays a vital role to improve the income and livelihood of farmers

Implementation of Machine Learning Model for Pest Classification in Rice Plants

Rice cultivation is a cornerstone of food security in agrarian countries like Indonesia, yet it remains highly vulnerable to pest infestations that can severely impact crop productivity. Manual identification of pests is time-consuming and error-prone, especially when pest species exhibit similar morphological characteristics. This study aims to implement and evaluate the performance of four classical machine learning algorithms Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Random Forest (RF), and Logistic Regression (LR) for classifying rice pests based on image data. The dataset, derived from Kaggle’s “Rice Pest Detection Dataset,” includes 12 pest classes and underwent a series of preprocessing steps: grayscale conversion, image resizing to 128×128 pixels, feature extraction using Histogram of Oriented Gradients (HOG), label encoding, and class balancing via SMOTE. The experimental setup used 80% of the data for training and 20% for testing. Performance was evaluated using precision, recall, F1-score, and confusion matrices. Among the four models, SVM achieved the most consistent and robust performance, with F1-scores reaching up to 0.98 in several pest classes and an overall balanced classification across the dataset. Random Forest followed closely, particularly excelling in distinguishing classes such as Rice Water Weevil and Yellow Rice Borer, achieving F1-scores of 0.99 and 0.96 respectively. In contrast, KNN showed signs of overfitting, with extreme precision-recall imbalances, while LR was more stable but less accurate in separating visually similar classes like Rice Stem Fly and Thrips. Visual analysis of correct and incorrect predictions revealed that classes 7 (Rice Stem Fly) and 11 (Thrips) were consistently misclassified across all models, likely due to high visual similarity

Firm Value: Profitability, Leverage, and Firm Size with Corporate Social Responsibility (CSR) as A Moderating Variable

This study aims to examine the effect of Profitability, Leverage, and Firm Size on Firm Value with Corporate Social Responsibility (CSR) as a moderating variable. In the era of globalization and increasing competition, companies are not only expected to achieve financial gains but also to take broader social and environmental responsibilities into account. The sample used in this study consists of 100 companies listed on the LQ45 Index of the Indonesia Stock Exchange during the 2020 to 2023 period.The analytical method used in this research is multiple linear regression analysis with a moderating approach. The findings indicate that Profitability and Firm Size have a positive effect on Firm Value, while Leverage has a negative effect. Furthermore, Corporate Social Responsibility (CSR) is proven to function as a moderating variable that strengthens the influence of Profitability, Leverage, and Firm Size on Firm Value. These results provide valuable insights for company management in optimizing firm value through effective management of Profitability, Leverage, Firm Size, and CSR. This study is expected to make a significant contribution to the development of corporate finance literature and serve as a useful guide for investors in making investment decisions

Content Analysis of Comics on Line Webtoon

Technological advances produce a different culture of readers, there is a new culture of comic readers who change the way readers read comics, as a result of technological advances it created a digital platform published online called LINE Webtoon, so that it can be identified the purpose in this article to know the presentation of comic content on LINE webtoon or website and cartoon by facilitating readers who no longer read without having to buy comics in physical form but already using the application. This research uses a descriptive qualitative method by looking at LINE webtoon to find out the presentation of comic content on LINE webtoon, which is supported using McCloud\u27s Making Comic theory. The results of this study suggest that the experience of reading comics on LINE Webtoon has a variety of attractions, readers\u27 factors in reading comics can also be influenced by social and cultural interactions around them, for example if a comic is trending or widely discussed on social media, readers tend to be interested in trying to read it as well as being influenced by comic content and comic authors themselves such as with emotionally evocative storylines and strong characters, tend to be more captivating and make readers come back to read the next episode, by paying attention to these aspects, it can be seen how works of fine art in the form of comics can create interesting comic content

Circular Economy Education Through Food Preparation as an Effort to Reduce Food Waste and Strengthen the Family Economy

Circular economy literacy efforts are important considering that the waste awareness index in Indonesia is still worrying. If we look at the data from the National Waste Management Information System (SIPSN), food waste dominates the composition of waste based on waste type, namely 40.2 percent. When looking at the source, it is known that households are the largest source of waste (38.3 percent). Considering these data and facts, preventive efforts need to be carried out at the household level, especially regarding food waste. This activity aims to provide education for mothers regarding the circular economy and food waste behavior to minimize food waste, especially in its preparation or better known as food preparation. It is also believed that this effort will have a positive impact on the family\u27s economy. This activity is carried out through the outreach method, and is also accompanied by a pre-test and post-test as a form of evaluation. The locus of the activity will be carried out in Batuan Village, Sukawati District, Gianyar Regency, targeting the local village PKK (family welfare empowerment) team. The aim is that information and activity materials can be distributed and implemented widely. After comparing the results of the pre-test and post-test, it was discovered that there had been an increase in service participants\u27 understanding of the circular economy and food preparation. It is certainly important to continue this activity, one of which is through assistance in preparing circular economy programs through the PKK

Technology Acceptance Model on Village Financial System in Minimizing Fraudulent Practices by Village Apparatus

This study aims to examine the implementation of the village financial system in minimizing fraudulent practices by village apparatus using the Technology Acceptance Model (TAM) approach in Padaasih Village, Cisaat District, Sukabumi Regency. This research uses a descriptive qualitative method. The informants involved in this study are village apparatus who are directly engaged with the management of the village financial system as part of the village budget management. This study finds that, overall, the implementation of the village financial system in minimizing fraudulent practices by village apparatus using the Technology Acceptance Model (TAM) approach has been carried out in accordance with the framework designed to control fraudulent practices at the village level. However, some aspects still show weaknesses in supervising fraudulent behavior, mainly due to the perceived insufficient quality of human resources. Field findings indicate that fraudulent practices do exist in village budgeting, although they are considered minimal. Training and workshops aimed at improving the quality and skills of village apparatus in overseeing village budget preparation through the village financial system are necessary. Additionally, the active participation of the community in monitoring the implementation of village programs should be maximized, from pre-budget preparation to post program realization. This study monitors and evaluates the implementation of the village financial system in minimizing fraudulent practices by village apparatus using the Technology Acceptance Model (TAM) approach

Science Research Olympiad Preparation Assistance: Application of Differential and Integral in Radioactive Decay

Performance not only a source of pride for students, but also for schools. The Indonesian Student Research Olympiad (OPSI) is a national-level activity recognized by the National Achievement Center (PUSPRESNAS). Schools need to provide guidance to support their students in participating in OPSI competitions, one of which is in mathematics. The purpose of this community service is to provide new learning experiences to students at SMA Negeri 1 Mirit, Kebumen Regency, in managing real-world problems and using mathematics to find solutions. Examples given are the problem of medication timing and radioactive decay. The community service method consists of material presentation, class discussions, and providing examples of problems that can be solved using similar methods. The community service is carried out once for 2 hours, the results of the community service are measured by a questionnaire, and of the 20 students who participated in the activity, all agreed that this community service provided a new learning experience that was different from the learning experience during the lessons

Risk Analysis Using Poisson-Pareto Models to Estimate Reserve Funds for Catastrophic Diseases in National Health Insurance

Catastrophic diseases such as heart disease, cancer, stroke, and kidney failure pose significant financial burdens on national health insurance systems due to their high treatment costs and frequency. This study utilizes the Poisson-Pareto model to analyze aggregate claims and determine premium loading for these diseases, ensuring the financial sustainability of the National Health Insurance program. Using secondary data from 2018 to 2023, we estimate the parameters for frequency and severity distributions, calculate the expected aggregate claims, and derive the required premium loading at various confidence levels. The results show that heart disease accounts for the highest reserve fund allocation, while kidney failure requires the lowest. These findings emphasize the importance of preparing sufficient reserve funds to manage financial risks associated with catastrophic diseases. The proposed approach provides a robust framework for national health insurance providers to maintain financial stability and optimize resource allocation for high-cost diseases