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Postharvest handling of leafy vegetables, such as kale (Brassica oleracea var. acephala), is crucial for maintaining product quality and market value. This study aims to review the application of sorting and grading processes in improving the quality of horticultural products. The method used is a literature review of scientific journals and relevant references related to postharvest handling of vegetables. The findings indicate that sorting functions to separate damaged and unmarketable products based on physical condition, while grading classifies products into quality categories based on size, shape, and visual appearance. These processes contribute to reducing postharvest losses, improving product uniformity, and increasing market value. Furthermore, proper sorting and grading support quality control and enhance efficiency in distribution and marketing systems. Therefore, sorting and grading are essential components of postharvest management to ensure product quality and market competitiveness.

Increased caffeine intake is commonly used by students to cope with academic demands, especially during examinations and the completion of final projects. Excessive caffeine consumption may affected sleep quality and potentially influence nutritional status. This study aimed to determine the correlation between caffeine intake, sleep disturbances, and nutritional status among final – year unsergarduated students at Dr. Soekardjo University. This study used quantitative approach with an observational analytic and cross-sectinal design. A total of 108 students participated in the study. Data were collected using questionnaires and analyzed using the Spearman Rank correlations test. The findings indicated that the most of respondents with low caffeine intake experienced mild sleep disturbances, totaling 56 respondents (80%). Meanwhile, respondents with moderate and high caffeine intake mostly experienced moderated sleep disturbances, with 13 respondents (61.9%) and 9 respondents (52.9%), respectively. The results showed a significant correlation between caffeine intake and sleep disturbances (p-value=0.000). In all categories of caffeine intake, most respondents had normal nutritional status. However, no significant relationship was found between caffeine intake and nutritional status (p-value=0.351). In conclusion, caffeine intake was associated with sleep disturbances but not with nutritional status among final-year undergraduate students.

This study aims to analyze the relationship between self-compassion and self-objectification among female TikTok users in Jambi City. The study used a quantitative correlational approach with a cross-sectional design. A total of 218 female students in Jambi City aged 18–25 years who actively use TikTok were selected using a purposive sampling technique. The instruments used were the Self-Compassion Scale (SCS) adapted into Indonesian (Skala Welas Diri) and the Objectified Body Consciousness Scale (OBCS). Data analysis used the Pearson Product Moment correlation test. The results showed a significant negative relationship between self-compassion and self-objectification (r = -0.216; p = 0.001). The higher the self-compassion, the lower the tendency for self-objectification. The majority of respondents had moderate to high levels of self-compassion, while self-objectification was in the moderate category. The duration of TikTok use of more than 2 hours per day was associated with a higher tendency for self-objectification. These findings confirm the role of self-compassion as a protective factor against self-objectification in the context of visual-based social media use.

The dissemination of personal data through digital media has increased significantly alongside the growing use of Quick Response (QR) Codes for various purposes, such as electronic tickets, certificates, and digital identities. Conventional QR Codes are open and can be easily scanned, copied, or manipulated by unauthorized parties. The personal data referred to in this study includes sensitive information such as full name, identity number (NIK/National ID), date of birth, address, phone number, and email address. This research proposes a layered security system that combines the Advanced Encryption Standard (AES) cryptographic algorithm with steganography using the Discrete Cosine Transform (DCT) method. The process begins with encrypting personal data using AES, converting the encrypted result into a QR Code, and embedding the QR Code into a digital image using DCT, hiding it in the image’s frequency domain. The digital images used are of fixed size and formats that preserve visual quality. System evaluation is carried out by testing the visual quality of the stego image, the success rate of QR Code extraction, and the integrity of the encrypted data. The results are expected to conceal sensitive information visually while maintaining its confidentiality, with potential applications in electronic ID cards, digital certificates, e-tickets, and other confidential documents.

This study aims to analyze public sentiment toward the hashtag #KaburAjaDulu, which has circulated widely on the social media platform X (formerly Twitter). The hashtag reflects the growing anxiety among the public, especially younger generations, regarding socio-political issues in Indonesia. The data were collected using web scraping techniques, focusing on user-generated tweets that contain the hashtag. A comprehensive text preprocessing phase was conducted to clean the raw data by removing irrelevant elements such as URLs, emojis, numbers, and punctuation. The research applies a hybrid classification approach using a combination of Support Vector Machine (SVM) and Random Forest algorithms to categorize sentiment into three classes: positive, negative, and neutral. The performance of the model was evaluated using metrics such as accuracy, precision, recall, and F1-score to determine the effectiveness of the classification. The study aims to demonstrate that combining algorithms can improve classification performance compared to using a single algorithm. This research contributes to the field of sentiment analysis and provides valuable insights for researchers, policymakers, and social observers in understanding public opinion trends in digital media.

This study discusses a student concentration detection system using Convolutional Neural Network (CNN) with the MobileNetV2 architecture. The dataset was adapted from Classroom Student Behaviors and mapped into four concentration categories: highly focused, focused, less focused, and unfocused. The system was tested with a 720p webcam and produced real-time detection data. The evaluation results show an overall accuracy of 75.85%, with the highest precision achieved in the focused class (0.9859) and the highest recall in the highly focused (0.9739) and unfocused (0.9811) classes. The confusion matrix indicates that the focused class was detected most consistently, while highly focused and unfocused classes were often misclassified as focused, resulting in lower precision. In real-time testing, the system operated at an average of 7 FPS and worked optimally when students faced the camera directly with sufficient lighting, but its performance decreased significantly at face angles greater than 45°. User evaluation shows that 75% of students rated the detection results as accurate/very accurate with an average satisfaction score of 3.6 out of 5, and 75% felt assisted in recognizing their concentration level. From the teachers’ perspective, most stated that the results were consistent with classroom observations, and all expressed willingness to reuse the system.

The growth of information technology has driven changes in consumer behavior, one of which is through e-commerce platforms such as Shopee. This phenomenon has generated a large number of customer reviews, including those for local cosmetic products such as Wardah. These reviews serve as an important source of information for understanding customer perceptions and satisfaction levels. However, manual analysis of large and linguistically diverse datasets is inefficient and potentially subjective. This study aims to implement the multi-category Naive Bayes algorithm to classify the sentiment of Wardah product reviews on Shopee into three categories: positive, negative, and neutral. The data were collected using a web scraping technique and processed through a series of preprocessing stages including case folding, tokenization, stopword removal, stemming, and text cleaning. Subsequently, term weighting was performed using the TF-IDF method prior to classification. Model performance was evaluated using a confusion matrix as well as accuracy, precision, and recall metrics. The results indicate that the multi-category Naive Bayes algorithm achieved an accuracy of 86.00%, a precision of 86.63%, and a recall of 98.24%. This approach can assist business practitioners in objectively understanding customer opinions and support decision-making in business strategy and product development.

The rise of social media has created a digital public sphere that enables users to express their opinions on social and political issues openly and in real-time. One of the most discussed topics on social media platform X is the trending hashtag #IndonesiaGelap, which reflects public concern and criticism regarding various governmental and societal conditions. This study aims to conduct sentiment analysis on tweets containing the hashtag to determine the overall sentiment trend among users. The method employed in this research is the Naive Bayes classification algorithm, known for its simplicity and effectiveness in text classification. To enhance the model’s performance, Particle Swarm Optimization (PSO) is applied to optimize feature selection and parameter tuning. The dataset consists of public tweets collected via the Twitter API, followed by preprocessing, feature extraction using TF-IDF, and sentiment classification into three categories: positive, negative, and neutral. The results indicate that the integration of PSO significantly improves the classification accuracy of the Naive Bayes model compared to the baseline. The majority of tweets related to #IndonesiaGelap exhibit a negative sentiment, indicating widespread public dissatisfaction and criticism. This research is expected to contribute to a better understanding of public perception and serve as valuable input for stakeholders in addressing social issues in the digital age.

This study investigates the decoupling phenomenon between ESG (Environmental, Social, and Governance) sustainability reporting and communal Tri Hita Karana (THK) sustainability practices in a Rural Bank in Bali. Through Ethnographic Content Analysis (ECA) of official documents from BPR Luhur Damai covering 2023–2025, this study identifies that the Sustainability Report (SR), prepared strictly according to Financial Services Authority Regulation (POJK) 51/2017, does not incorporate substantial THK practices, namely banten (ceremonial offerings) Rp131.6 million, dana punia (religious donations) Rp8.5 million, and monthly banjar (communal community unit) contributions, producing a Hindu religious expenditure to formal Social and Environmental Responsibility (SER) ratio of 10:1. Drawing on the Institutional Logics perspective, this study identifies four decoupling mechanisms: (1) cognitive, namely THK as taken-for-granted, not perceived as “sustainability”; (2) administrative, namely departmental silos between Compliance and General Affairs; (3) template, namely POJK 51/2017 provides no space for local wisdom; and (4) capacity, namely limited Human Resources (HR) and institutional capacity. These findings lead to the concept of “invisible sustainability,” that is, real sustainability contributions that are invisible to conventional reporting frameworks, and “cultural accounting gap,” that is, the absence of accounting categories for local cultural-religious contributions. The theoretical contribution is demonstrating that decoupling in Global South contexts is not merely symbolic compliance but results from structural misalignment between transnational and communal logics that renders local sustainability contributions institutionally invisible.

This study explores the acceptance of the Free Nutritious Meal Program (MBG) at SD Inpres Gere through William of Ockham's negative rights framework, focusing on freedom from external interference. As a positive rights policy (the right to services), the MBG has the potential to conflict with the principles of individual subjective rights (negative rights). Ockham emphasized that every individual has a personal sovereignty that must be free from interference from external authorities. Using qualitative research methods through literature studies and interviews, this article analyzes the risk of standardizing consumption that can reduce individual autonomy in determining their private needs. The analysis shows that although the MBG has a noble aim to fulfill the right to life, its implementation risks becoming a form of state paternalism that harms citizens' negative freedoms if not accompanied by strict limits on power. This paper concludes that to align with Ockham's principle of individual subjective rights, the MBG program must continue to respect the private space and diversity of individual choices without creating dependency that erodes the sovereignty of legal subjects.

Complementary feeding plays a vital role in meeting the nutritional needs of infants and toddlers. However, food safety remains a concern, particularly for homemade commercial complementary foods. This study aimed to assess the microbiological quality and hygiene sanitation practices of homemade commercial complementary foods vendors in the service area of Karangandong Public Health Center, Gresik. A quantitative descriptive approach with a cross-sectional design was employed. Four homemade commercial complementary foods samples were collected from different vendors and tested for Total Plate Count (TPC) and Escherichia coli contamination. Observations and interviews were also conducted to evaluate the vendors' hygiene and sanitation practices. The results showed that three out of four homemade commercial complementary foods samples exceeded the maximum limit for microbial contamination (1 × 10² CFU/g). Two of the four samples tested positive for Escherichia coli contamination. The hygiene and sanitation practices of the vendors showed several non-conformities, categorized as minor, major, and critical. In conclusion, most homemade commercial MP-ASI products in this study did not meet established microbiological safety standards and reflected hygiene and sanitation practices that require improvement.

This research is motivated by the need for interactive digital learning media to increase interest in learning and understanding of multiplication concepts in elementary school students. This study aims to develop interactive Math Space media based on space math adventure games on multiplication material for third-grade students of Mursyidah Elementary School and assess its feasibility based on aspects of validity, response, and effectiveness. The method used is research and development with a 4D model that includes the stages of definition, design, development, and dissemination. Data were collected through expert validation, teacher and student response questionnaires, and learning outcome tests. The results showed that the Math Space media has a very high level of validity with a percentage of 94% from material experts and 95% from media experts. Meanwhile, positive responses from teachers and students were 94.5% which is included in the very good category. Meanwhile, the effectiveness test produced an N-gain value of 0.87 which is in the very effective category, so this media is proven to be able to significantly improve understanding of multiplication concepts. Based on these results, it can be concluded that the interactive Math Space media is valid, has received positive feedback, and is effective for use in learning mathematics, especially multiplication, and has the potential to be developed for other materials and subjects.

This study aims to develop a PAFE (KPK FPB BOARD) learning medium for KPK and FPB materials for fifth-grade students at SDN 47 Gresik. This research uses the ADDIE (Analyze, Design, Develop, Implement, and Evaluate) model, which focuses on the analysis, design, development, implementation, evaluation, and feasibility testing of the resulting learning media. This media was developed as an interactive tool capable of increasing learning interest, strengthening conceptual understanding, and providing a more enjoyable learning experience. The results indicate that Math Space media meets three main aspects of educational media development: validity, practicality, and effectiveness. In terms of validity, the media expert's assessment obtained a percentage of 95% and a percentage of 80.9%, respectively. Based on the average of the two results, the percentage obtained was 87.9%, making it highly valid. In terms of practicality and effectiveness, the N-gain calculation result of 0.80 is categorized as very effective, thus demonstrating that the use of the media significantly improves understanding of the KPK and FPB concepts. In terms of practicality, student responses reached 92.8%, indicating that this media is highly practical, easy to use, engaging, and supports independent learning. Overall, the PAFE (KPK FPB BOARD) learning media was deemed feasible, practical, and effective for use in mathematics learning, particularly in KPK and FPB. Furthermore, this media is flexible and can be used for both in-class and out-of-class learning.

At the research location at PT. Ansaf Inti Resource, there are several mining stages such as exploration. In the exploration itself, drilling and logging activities are carried out. However, if not careful in calculating coal resource estimates, there can be potential discrepancies between the estimated coal resources based on the results of drilling data identification and well logging data with the actual results. Exploration activities are activities that are often carried out by companies to determine reserves in an area. Without carrying out these activities, companies will have difficulty estimating the profits to be obtained. To obtain the data needed to carry out exploration activities such as calculating the quality and quantity of coal, it is necessary to carry out drilling such as the full coring method and also carry out logging activities to complete the data and also as comparative data from core drilling. Coal Resources are part of a coal deposit in the form of a certain quantity and have reasonable prospects that allow for economic consideration. Coal resources are divided according to the level of geological confidence into inferred, indicated, and measured categories. Therefore, in this study, the author will calculate coal resources from exploration data collection such as coring data, cutting data, and well logging data as well as coal quality data and process it in Minescape 5.7 software so that it can obtain an estimate of coal resources for each seam at the research location.

Allergic rhinitis (AR) is an inflammatory process of the nasal mucosa initiated by a hypersensitivity reaction and caused by exposure to allergens mediated by immunoglobulin E (IgE), with several characteristic symptoms including: nasal congestion, a runny nose or watery nasal discharge (rhinorrhea), nasal itching, sneezing, and  postnasal drip (PND). According to the World Health Organization’s Allergic Rhinitis and its Impact on Asthma (WHO-ARIA) guidelines, based on the duration of symptoms, allergic rhinitis is classified into two categories: intermittent allergic rhinitis (symptoms lasting less than 4 days per week or for less than 4 weeks) and persistent allergic rhinitis (symptoms lasting more than 4 days per week and for more than 4 weeks). The prevalence of allergic rhinitis based on a doctor’s diagnosis is approximately 15%; however, it is estimated to reach 30% when considering patients with nasal symptoms. Appropriate management of allergic rhinitis, in addition to alleviating symptoms, is also expected to improve the quality of life of patients whose lives have been disrupted by the condition, as the higher the severity and frequency of allergic rhinitis symptoms, the greater the impact on reduced quality of life.

Antibiotic resistance is a global health problem that requires international efforts to prevent the ineffectiveness of existing antibiotics and support the development of new antimicrobial agents. The increasing use of antibiotics in the community must be accompanied by proper understanding regarding rational antibiotic use to minimize the risk of resistance. This community service activity aimed to provide education on rational antibiotic use and the dangers of antibiotic resistance to undergraduate nutrition students at STIKes Adila, Bandar Lampung. The activity was conducted through educational sessions using flyers, presentation slides, and interactive discussions to encourage active participation and improve understanding of the topic. Evaluation was carried out using pre-test and post-test assessments to measure changes in participants’ knowledge levels. Descriptive analysis showed an improvement in participants’ knowledge, with the high knowledge category increasing from 0% during the pre-test to 85% in the post-test, while the low knowledge category decreased from 35.5% to 0% after the intervention. These findings indicate that educational interventions can effectively enhance awareness and understanding of rational antibiotic use and the prevention of antibiotic resistance. Therefore, continuous educational programs are important to promote responsible antibiotic use and support public health efforts in combating antibiotic resistance.

Antibiotic resistance is a global health problem that requires international efforts to prevent the ineffectiveness of existing antibiotics and support the development of new antimicrobial agents. The increasing use of antibiotics in the community must be accompanied by proper understanding regarding rational antibiotic use to minimize the risk of resistance. This community service activity aimed to provide education on rational antibiotic use and the dangers of antibiotic resistance to undergraduate nutrition students at STIKes Adila, Bandar Lampung. The activity was conducted through educational sessions using flyers, presentation slides, and interactive discussions to encourage active participation and improve understanding of the topic. Evaluation was carried out using pre-test and post-test assessments to measure changes in participants’ knowledge levels. Descriptive analysis showed an improvement in participants’ knowledge, with the high knowledge category increasing from 0% during the pre-test to 85% in the post-test, while the low knowledge category decreased from 35.5% to 0% after the intervention. These findings indicate that educational interventions can effectively enhance awareness and understanding of rational antibiotic use and the prevention of antibiotic resistance. Therefore, continuous educational programs are important to promote responsible antibiotic use and support public health efforts in combating antibiotic resistance.

This study aims to describe the intrinsic structure and analyze the psychological aspects of the main characters in the three short stories based on Sigmund Freud's psychoanalytic theory. The research uses a qualitative approach with descriptive methods. Data sources are texts from three satua cutet in the Nimbang Rasa anthology: I Kucil by I Komang Tri Nanda Defhayana, Idup Lara by Ni Wayan Esa Juliantini, and Pajalan Keneh by Ni Putu Ayu Ari Astiti. Results show that the intrinsic structure of all three stories employs a linear plot, with themes of diligence, perseverance, and courage. Psychological analysis based on Freud's id, ego, and superego theory reveals that I Kucil is dominated by id impulses in the form of aggressive emotion due to injustice; Ani demonstrates a strong ego in withstanding social pressure and a firm superego in upholding moral values; while Gékyu shows a balance between ego and superego when facing abuse from a teacher. This research is expected to serve as a reference in Balinese literary studies, particularly in the field of literary psychology.

The development of fine motor skills and collaborative character is an essential foundation during the golden age period to support children’s academic readiness and social development. However, learning stimulation at Tamalate State Kindergarten is still largely dominated by conventional methods that lack variety and interactive activities. This community service program aims to implement constructive Straw Connectorsmedia as an innovative learning solution to stimulate children’s fine motor skills and cooperative character. The implementation methods included teacher workshops, classroom application with students through collaborative constructive play activities, and evaluation of learning achievements. The findings revealed a significant improvement in children’s fine motor skills, with the average score increasing from 1.67 in the Pre-Test to 3.27 in the Post-Test. Furthermore, 60% of the children achieved the Very Well Developed (BSB) category in collaborative character development. Through the use of Straw Connectorsmedia, students were able to create complex architectural products such as construction bridges and windmills. The study concludes that Straw Connectorsmedia is effective in improving visual-motor coordination, creativity, and collaborative skills while fostering social empathy through interdependent interaction among children during the learning process.

This study examines the urgency of foreign nationals' (WNA) legal status and visa compliance in the vehicle rental business in Bali, as well as its impact on business disputes involving local entrepreneurs. The increasing number of international tourists visiting Bali has spurred the growth of vehicle rental services, yet it has also given rise to illegal practices by foreign nationals such as misuse of tourist visas for commercial purposes, tax evasion, and unfair business competition. This research adopts a normative juridical method using statute, conceptual, and case approaches, referring to key legal documents including Law No. 6 of 2011 on Immigration, Law No. 6 of 2023 on Manpower, Ministerial Regulation No. 21 of 2016, and Bali Regional Regulation No. 5 of 2016 on Tour Guiding. The findings highlight the vulnerability of rental contracts under Article 1548 of the Indonesian Civil Code, risks of breach of contract, and widespread violations of the Electronic Traffic Law Enforcement (ETLE) system, the penalties of which are imposed on rental owners. Nationality disparities and weak immigration oversight further undermine the effectiveness of law enforcement. This study concludes that legal protection for local business actors relies heavily on the legal clarity of WNA status, the appropriateness of 1 visa categories, and strong inter-agency coordination. The novelty of this research lies in integrating legal analysis of WNA legitimacy with a dispute resolution framework specific to the vehicle rental sector in Bali’s tourism landscape a perspective that has been largely overlooked in prior studies. The recommendations include strengthening rental contracts, enhancing coordinated supervisory mechanisms, and harmonizing civil and criminal law to establish a stronger deterrent effect.