Red galangal (Alpinia officinarum) is an Indonesian native herb rich in bioactive compounds. Fermentation is a promising method to enhance these components. This study aimed to determine the optimal fermentation time using Lactobacillus plantarum to maximize the bioactive content of red galangal flour. A Randomized Block Design was employed, with fermentation times ranging from 1 to 7 days. The fermented flour was extracted using a two-step aqueous maceration process. Total phenolic content (TPC) and total flavonoid content (TFC) were analyzed spectrophotometrically. The results showed that fermentation significantly increased both TPC and TFC compared to the unfermented control. The optimal fermentation duration was 5 days, yielding the highest TPC of 1100.74 mg GAE/100 g and a significantly higher TFC of 34.30 mg QE/100 g (P 0.01). After this point, the bioactive content began to decline. This study demonstrates that a 5-day fermentation period is optimal for enhancing the phenolic and flavonoid compounds in red galangal flour, highlighting a viable method for developing functional food ingredients.

Dental and oral health problems in early childhood in Indonesia are still a serious concern. This study aims to determine the effect of audiovisual media on improving the knowledge and skills of brushing teeth of early childhood in An-Nahl Kindergarten, Jambi City. The research method used a quasi-experimental design with a one group pretest-posttest design. The sample of this study was 40 children aged 4-5 years, taken using a total sampling technique. The research instruments included a knowledge questionnaire and an observation sheet for brushing teeth skills. The results showed a significant increase in knowledge scores from 3.03 to 7.33 and skills from 2.43 to 6.80 after being given an intervention in the form of audiovisual media. In conclusion, audiovisual media is effective in improving the knowledge and skills of brushing teeth of early childhood.

Traditional markets are characterized by fast-paced and diverse transactions, necessitating a reliable product monitoring system to enhance the efficiency of stock management and transactions. This study develops a monitoring system based on a loadcell sensor and a TCS230 color sensor to automatically classify product weight and type. The loadcell is used to measure product weight with high accuracy, while the TCS230 detects the color characteristics of products to distinguish between different types of commodities, such as various varieties of chili peppers. The development process includes sensor calibration, dataset collection, and the training and evaluation of a classification model. Experimental results show that the classification accuracy exceeds 90%, demonstrating the effectiveness of combining weight and color data for market product recognition.

The widespread phenomenon of bad debts on PayLater has become a serious problem affecting the younger generation. This community service activity aims to educate the risks of PayLater as a form of early financial literacy prevention at the secondary school level. PayLater requires terms and conditions to be met. However, users often ignore these terms and conditions, resulting in legal consequences. The legal provisions regarding PayLater in e-commerce are regulated by Financial Services Authority Regulation Number 10/POJK.05/2022 concerning Information Technology-Based Joint Funding Services, and the Agreement under Article 1313 of the Civil Code (KUHPerdata). This agreement is considered a standard agreement because it contains terms and conditions made by one party and an electronic agreement made and documented in an electronic document. The community service activity was carried out by the Community Service Team in partnership with SMA Kesatrian 2 Semarang, targeting the school's eleventh-grade students. The community service location is at Jalan Gajah Raya No. 58, Gayamsari, Semarang City. The problem faced by partners is a lack of understanding regarding the legal aspects of using PayLater on e-commerce platforms. Therefore, the Community Service team conducted outreach to provide understanding regarding this matter. This community service activity utilized methods including lectures and question-and-answer sessions to address the partners' concerns. To gauge the students' level of understanding, a pre-test was conducted before the presentation. Following the Q&A session, the community service team provided an evaluation through a post-test.

Compensation is an effort to reduce the pollution load from other sectors to replace the wastewater load that will be discharged by businesses and/or activities due to river water quality being exceeded. Currently, most large rivers in Indonesia have exceeded the water quality standards set by the government. The one of the hospitals in Jember plans to discharge wastewater into the Bedadung River. However, the Biochemical Oxygen Demand (BOD) quality standard for the Bedadung River has been exceeded. Therefore, alternative compensation activities are needed to reduce the BOD levels of the Bedadung River. Bathing, Washing, and Toilet (MCK) facilities with biofilter septic tanks were chosen. This technology is considered to be able to effectively reduce the BOD concentration of domestic waste before being discharged into the environment. This study aims to calculate the potential for reducing the BOD pollutant load in Bedadung River water if compensation is carried out through the construction of MCK with a biofilter septic tank system, so that it is expected to provide a significant contribution to improving river water quality while supporting the sustainability of hospital activities.

This study aims to provide empirical insight into the interaction of financial factors, investment decisions, dividend policy, and profitability and their effects on firm value using the Structural Equation Modeling with Partial Least Squares (SEM-PLS) approach. This quantitative study uses data from 150 manufacturing companies in West Java selected through stratified random sampling, with data collected through structured surveys and interviews with key decision makers. The results of the analysis show that investment decisions have a positive and significant effect on firm value, indicating that proper capital allocation can increase business value. Dividend policy shows a complex relationship with firm value, so a balanced dividend distribution strategy is needed. Profitability has a strong positive correlation with firm value, emphasizing the importance of maintaining profit sustainability. This research model is able to explain 65% of the variation in firm value, indicating the strength of the relationship between the variables analyzed. The practical implication of this study is the importance of financial strategy decision making in the manufacturing sector, especially in terms of investment and dividend policy. Companies are advised to implement a careful investment strategy, moderate dividend policy, and focus on profitability to increase market valuation. This study makes an original contribution by presenting empirical data from the under-researched manufacturing sector of West Java and presenting a comprehensive model that explains the key dynamics that determine firm value in the industry.

This study analyzes the role of BNN RI Public Relations in utilizing social media such as Instagram, TikTok, and YouTube to disseminate information on preventing drug abuse. Qualitative methods are used with data collection through active participation, interviews, and literature studies, as well as analysis based on normative, ideal, and factual roles according to Soerjono Soekanto. BNN RI Public Relations actively uses social media according to norms and policies, strives to meet public expectations, and has produced various prevention content. TikTok has proven to be the most effective platform with video statement content that attracts users' attention. However, challenges such as negative feedback and limited resources still need to be overcome. It is recommended that BNN RI Public Relations continue to develop digital communication strategies, expand reach, improve content quality, and strengthen collaboration to optimize drug prevention in Indonesia.
 

Adoption of melon (Cucumis Melo L.) cultivation innovation plays an important role in increasing productivity and efficiency. This study discusses the application of innovation adoption in melon plants with greenhouse technology, hydroponics, modern irrigation technology, post-harvest processing mechanisms for breeding. This literature review uses the Systematic Literature Review (SLR) method to compare National Journals and International Journals that are relevant to Innovation Adoption. The use of the Internet of Things (IoT) allows automatic monitoring of environmental conditions. Technology in melon cultivation has a significant impact on agricultural productivity and efficiency. In the hydroponic system of soilless cultivation in limited land conditions, each innovation has challenges in its implementation, such as high investment costs, the need for training for farmers, and limited access to certain technologies
 

Ports are critical infrastructure in maritime transportation, facilitating the movement of goods and people while serving as hubs for economic activities. The Tanjung Pakis Class III Harbormaster and Port Authority Office (KSOP) utilizes the Electronic Reporting Information (SIRANI) application for reporting loading and unloading data. However, challenges such as discrepancies, technical disruptions, and delays in data processing often arise. This study aims to describe the loading and unloading data processing and the efficiency of reporting time on the SIRANI application at KSOP Class III Tanjung Pakis. Employing a descriptive qualitative approach through interviews, observations, and documentation, the research finds that data processing is less effective due to low data validity and errors in the Inaportnet platform. Reporting to SIRANI is also inefficient due to delays in data handling and technical issues with the application. Corrective measures, such as early data verification and manual data handling by reporting officers, have improved effectiveness by reducing the process from five to three steps and cutting reporting time from 6 hours to 3 hours and 30 minutes. The study concludes that optimizing data processing and inter-unit coordination can enhance the effectiveness and efficiency of reporting. Recommendations for future research include real-time integration and the development of backup mechanisms to address technical disruptions.

This qualitative study aims to gain insights into how English lecturers perceive and integrate generative Artificial Intelligence (AI) in their teaching, an increasingly relevant topic in education. Guided by the Technology Acceptance Model (TAM), the research involved two lecturers from a higher education context. Findings reveal a shift in perception: although both participants were initially reluctant due to unfamiliarity and concerns about learning quality, they gradually embraced AI after firsthand experience. They now recognize its potential to support teaching while maintaining careful oversight to ensure it does not compromise the learning process. Their evolving views highlight the importance of adaptability and critical awareness in incorporating AI into English language education.