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Asset inventory management is vital for enhancing the operational efficiency of an organization. At the Communication and Informatics Office of Tegal Regency, the process for managing asset inventory is still performed manually, leading to various issues including challenges in asset documentation, data retrieval, management of borrowing, reporting damage, and overseeing the condition of assets. This research intends to create a web-based asset inventory management solution that leverages Quick Response (QR) Code technology to boost the effectiveness, efficiency, and precision of inventory management. The methodology employed for the system's development was Agile Development, which includes stages such as planning, analyzing requirements, designing the system, developing, testing, and conducting iterative evaluations. Data gathering was conducted through observation, interviews, and reviewing existing literature. The completed system offers several key features, such as inventory management, the ability to generate and scan QR Codes, processes for borrowing and returning assets, damage reporting, a monitoring dashboard, and management of user access based on roles.  The findings reveal that the implemented system enhances asset identification through QR Codes, delivers real-time inventory data, and enables more efficient monitoring of assets. According to Black Box Testing results, all functionalities of the system performed in alignment with the identified functional requirements. Consequently, the web-based asset inventory management system utilizing QR Code technology can act as a useful solution to enhance the asset inventory management quality at the Communication and Informatics Office of Tegal Regency.

Image Quality Assessment has become an important research area in computer vision due to the increasing use of digital imaging in medical, industrial, and remote sensing applications. This study conducted a Systematic Literature Review (SLR) using articles retrieved exclusively from the Scopus database. A total of fifteen Scopus-indexed articles were selected through the PRISMA process consisting of identification, screening, eligibility, and inclusion stages. The findings indicated that convolutional neural networks, transformer architectures, and no-reference approaches dominated recent studies because of their ability to capture complex visual features and improve evaluation accuracy. The application domain strongly influenced method selection, particularly in medical imaging, industrial quality control, and remote sensing. Deep learning methods achieved high performance but required large datasets and high computational resources. Overall, recent research trends shifted from traditional image enhancement toward artificial intelligence-based quality evaluation.

Bilingual instruction is a learning strategy that can help students understand learning materials while bridging the gap between the language used at school and the language spoken in daily life. This study aims to analyze the effect of bilingual instruction on students' understanding of the Ecosystem topic at SDK Gusung Karang, Koja Gete Village. The study was motivated by the fact that students predominantly use the Sikka language in their daily communication, making it difficult for them to understand lessons delivered solely in Indonesian. This study employed a qualitative approach with a descriptive method. The research participants consisted of the fourth-grade homeroom teacher and fourth-grade students at SDK Gusung Karang. Data were collected through observations, interviews, and documentation and analyzed using data reduction, data display, and conclusion drawing techniques. The findings indicate that bilingual instruction has a positive impact on students' understanding of the Ecosystem topic. The use of the Sikka language helps students comprehend basic concepts, increases classroom participation, and enhances their confidence during the learning process. Meanwhile, Indonesian strengthens students' mastery of scientific terminology and academic language skills. Although students still experience difficulties in consistently using scientific terms in Indonesian, bilingual instruction improves their understanding and connects learning concepts with their real-life experiences. The effectiveness of this strategy depends on teachers' ability to manage language switching in a structured and consistent manner.

This study examines the emergence of localized English expressions in Indonesian social media discourse, highlighting how English is adapted and reinterpreted in multilingual digital contexts. While previous studies on English in Indonesia have primarily focused on formal domains such as education and language policy, limited attention has been given to informal online communication where linguistic innovation is highly visible. This study aims to analyze how English lexical items are re-semanticized and creatively transformed by Indonesian users on social media platforms. The study employed a qualitative approach using data collected from Instagram posts and comments, focusing on selected examples of English-derived expressions such as boba, gas, voucher, server, and suamiable. The analysis compares the conventional meanings of these terms in Inner Circle English with their localized meanings in Indonesian usage. The findings reveal that English functions as a flexible linguistic resource, undergoing processes of semantic shift, metaphorical extension, and lexical blending. These localized forms reflect users’ creativity as well as their ability to adapt global linguistic resources to local cultural contexts. The study concludes that English in Indonesian social media is not merely borrowed but actively reconstructed, contributing to the dynamic development of English in the Expanding Circle.

This study examines Income Tax provisions under the latest tax regulations in Indonesia, explains the procedures and mechanisms for calculating Income Tax based on the Law on Harmonization of Tax Regulations (HPP Law), and evaluates the contribution of Income Tax to state revenue and equitable income distribution. This research applies library research with a qualitative descriptive approach. The data were collected from relevant sources, including laws and regulations, academic books, scientific articles, research journals, and official government publications related to Income Tax policy in Indonesia. The data were analyzed systematically to identify regulatory developments, tax calculation mechanisms, and the implications of tax policy for national state revenue and fiscal justice. The findings show that the HPP Law establishes five progressive tariff layers for Individual Taxpayers, with a maximum rate of 35% imposed on taxable income exceeding IDR 5 billion per year. This provision reflects the principles of ability to pay and vertical equity in Indonesia’s tax system. Furthermore, the Corporate Income Tax rate of 22%, along with various rate-reduction incentives for eligible taxpayers, can enhance business competitiveness and reduce tax burdens. Tax administration modernization through e-Filing, e-Billing, e-Bupot, and Coretax also improves service efficiency and strengthens taxpayer compliance more effectively.

This study aims to compare the performance of three boosting algorithms, namely XGBoost, LightGBM, and CatBoost, to predict the success of MSMEs. The data used consists of 250 entries with 13 attributes that include business actor characteristics, initial capital, industry experience, financial record-keeping, internet utilization, business planning, partnerships, and the target variable success. The pre-processing stage includes checking for missing values, standardizing numerical attributes, and splitting the data into 80% training data and 20% test data. The evaluation results show that XGBoost provides the best performance with an accuracy of 0.92, precision of 0.8333, recall of 0.8333, F1-score of 0.8333, and ROC-AUC of 0.9715. LightGBM has an accuracy of 0.88, while CatBoost achieves an accuracy of 0.90. The research results show that XGBoost has the best ability to classify successful and unsuccessful MSMEs. The feature importance results also show that the success of MSMEs is influenced by a combination of several key factors. This research emphasizes that boosting algorithms are effectively used as predictive models to support the analysis of MSME success.

The purpose of this study is to identify the level of influence  of job description and workload on the job satisfaction of monthly contract employees at PT Multi Garmenjaya. Through  a cross-sectional  survey method, this study applies a descriptive and associative research design. The data collection was carried out through the distribution of a combination  of online (Google Form) and offline (print questionnaire) questionnaires to 87 respondents who were selected as a sample of the entire population totaling 677 monthly contract employees. Based on the results of hypothesis testing, it was found that the position description variable had a positive and partially significant influence on employee job satisfaction, with a calculated t-value of 5.529 and a significance level of 0.0000. On the other hand, the workload variable was also found to show a positive and significant influence on employee job satisfaction partially, with a calculated t  value of 1.327 and a significance value of 0.188. When tested simultaneously, the two independent variables were proven to have a significant effect on the job satisfaction of contract employees, with  an F score of 27.772 and a significance value of 0.0000. As for the Adjusted R Square value,  a value of 0.384 was obtained. This figure means that the ability of the variable job description and workload in explaining the ups and downs of the job satisfaction of PT Multi Garmenjaya's monthly contract employees is 38.4%. Meanwhile, the other percentage, which is 61.6%, is influenced by other factors or variables that are not studied and studied in this research model.

The stock market is a place to buy shares for profit. In Indonesia, energy stocks are highly unpredictable because global commodity prices change constantly. This study examines what affected energy stock returns in 2024, focusing on trading volume, price swings, company profits, and cash flow. Using financial reports and statistical analysis, all these factors were tested together and individually. The results show that combined, all these factors do affect stock returns. However, when looked at one by one, only the company's net profit truly matters to investors. On the other hand, busy trading, daily price swings, and cash flow have no impact at all. In fact, all the factors studied only account for 14% of stock return movements, while the remaining 86% is driven by other outside forces. In conclusion, for those looking to invest in energy stocks, the most important thing to watch is the company's ability to generate net profit, rather than just looking at how busy daily transactions are in the market.

This study investigates why applicants who have passed the initial admissions stage do not proceed to final enrolment in an Indonesian private higher education context. While student recruitment is often measured by the number of applications received, institutional sustainability depends on the ability to convert applicants into enrolled students. This study employed a descriptive survey design supported by thematic analysis of open-ended responses. Data were collected from 179 applicants who had participated in the admissions process but did not complete final re-registration. The data were analyzed using frequencies, percentages, and thematic categorization. The findings show that conversion failure is influenced by several factors, including waiting for public university admission results, financial constraints, postponement of study plans, family considerations, uncertainty about the institution or study programmed, preference for other institutions, and campus accessibility. A key finding reveals that 58.1% of respondents would reconsider enrolment if scholarships, tuition discounts, or other financial assistance were available. These findings highlight the need for a conversion management strategy through targeted financial aid, transparent cost communication, family engagement, and proactive applicant follow-up.  

The community service activities aim to improve business financial management skills and student readiness in facing the 2026 Indonesian Student Innovation and Entrepreneurship Festival (FIKSI). The program is implemented by lecturers of the Digital Business Study Program at Al-Irsyad University Cilacap together with supervising teachers and 26 FIKSI finalist students from SMA Negeri 2 Cilacap, SMA Negeri 3 Cilacap, and SMA Negeri 1 Maos. The main problem faced by partners is the low ability to prepare business financial reports and the use of digital technology in business development. The method used is Participatory Action Research (PAR) through stages of socialization, training, technology implementation, mentoring, evaluation, and program sustainability. The results of the activity show an increase in student understanding and skills in recording transactions, calculating the cost of production, preparing profit and loss and cash flow reports, and utilizing digital financial applications and Artificial Intelligence (AI) to support business development. In addition, supervising teachers received capacity building in assisting students in aspects of financial management and preparing business proposals. The establishment of the Smart Fintech Young Entrepreneur Community is a sustainable strategy for the program to support the development of digital entrepreneurship in schools. This program has proven effective in improving the quality of business and improving students' readiness for entrepreneurship competitions.

The fishermen's community in Tapak Village, Tugurejo Subdistrict, Semarang faces persistent economic vulnerability driven by fluctuating income, low financial literacy, and exposure to illegal online lending and digital financial fraud. This community service program aimed to strengthen the economic resilience of fishermen's families through participatory financial literacy education. Using a participatory-interactive approach involving coastal community members, the program delivered comprehensive financial literacy training tailored to the needs of coastal communities. Program effectiveness was measured through pre-test and post-test instruments. Results showed significant improvements in participants' understanding of cash flow recording, ability to differentiate needs from wants, household budget planning, and capacity to identify illegal online lending characteristics. This program confirms that context-based participatory education is effective in enhancing the financial capacity and resilience of coastal communities.

Overcapacity in correctional facilities is a persistent issue that can generate psychological distress and reduce inmates’ ability to adapt effectively to their living environment. Limited personal space, restricted autonomy, and continuous social pressures may negatively affect environmental mastery, which is an important dimension of psychological well-being. This study aimed to examine the effectiveness of mindfulness therapy in improving environmental mastery among inmates at the Tangerang Class IIA Women’s Correctional Facility. An experimental method with a one-group pre-test and double post-test design was employed. The participants consisted of nine inmates who demonstrated low to moderate levels of psychological well-being and mindfulness. Data were analyzed using a paired-sample t-test and the N-Gain Score to evaluate changes before and after the intervention. The findings revealed a statistically significant improvement in environmental mastery following mindfulness therapy (t(8) = -12.72, p < 0.001), with the positive effects remaining evident during the follow-up assessment. The average N-Gain score of 0.546 indicated that the intervention achieved a moderate level of effectiveness. These findings suggest that mindfulness therapy is an effective and practical psychological intervention for enhancing environmental mastery, strengthening psychological adaptation, and supporting the overall well-being of inmates in correctional settings.

The high number of elderly people has led to various health problems that must be faced. However, there are still elderly people who are reluctant to carry out regular physical activity, so the health status and quality of life of the elderly also decline. Aims: This systematic review aims to identify the relationship between social cognitive theory (SCT) on physical activity in the elderly. Methods: This systematic review method approach is based on PRISMA. This systematic review examines several research articles from journal databases, namely PubMed and ScienceDirect, and obtained 13 articles in 2019-2024. The keywords used in the search are “Social Cognitive Theory”, “SCT”, “Physical Activity”, “PA”, and “Elderly”. The articles reviewed met the inclusion criteria, namely relevant article topics, original research articles in English, and publications in the last five years. The eligibility criteria were then assessed separately using the JBI Critical Appraisal Checklist tool.  Results: From a total of 13 articles reviewed, it can be concluded that the majority of articles explain how important the social cognitive patterns that elderly people must have in relation to the physical activity of the elderly, such as predicting the physical activity of the elderly, increasing the exercise behavior of the elderly, influencing the level of physical activity for people with chronic diseases, and adjusting physical activity with the abilities of the elderly. The higher an elderly person's social cognition, self-efficacy, encouragement, and social support to be able and willing to carry out physical activities in accordance with the elderly's abilities and physical condition. Conclusion: The social cognition of the elderly places more emphasis on the ability of the elderly to learn things around them, so that the elderly have self-efficacy, encouragement, and social support to do things in according to their goals and beliefs. Health workers in provide health services to the community, social cognitive theory can be used for alternative to increase the physical activity of the elderly. A personalized smartphone-based intervention based on SCT is highly effective for promoting physical activity in older adults.  

Stroke is a neurological disorder caused by impaired blood flow to the brain, resulting in brain tissue damage and various functional impairments. One of the common problems experienced by stroke patients is sleep disturbance, which may be influenced by neurological deficits, limited physical mobility, pain, and post-stroke anxiety. Persistent sleep disturbances can delay the recovery process and reduce patients’ quality of life. The long-term use of sleeping medications may lead to adverse effects; therefore, safe and easily applicable complementary therapies are needed. This study aimed to determine the effectiveness of peppermint oil aromatherapy in improving sleep quality among stroke patients in the working area of Barebbo Community Health Center, Bone Regency. The method used was the implementation of complementary therapy through the administration of peppermint oil aromatherapy to stroke patients experiencing sleep disturbances. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) before and after the intervention. The assessment results showed that before the intervention, patients experienced poor sleep quality, characterized by difficulty initiating sleep, frequent nighttime awakenings, insufficient sleep duration, and daytime fatigue. After receiving peppermint oil aromatherapy, patients demonstrated increased comfort, reduced anxiety, improved ability to initiate sleep, and better overall sleep quality compared to their condition before the intervention. Therefore, peppermint oil aromatherapy was found to be effective in improving sleep quality among stroke patients and can be used as a complementary non-pharmacological intervention in nursing care.

Lead (Pb²⁺) contamination in wastewater is a major environmental concern due to its toxicity, persistence, and ability to accumulate in living organisms. Adsorption using biomass-based materials has been developed as an alternative treatment method because it is efficient, economical, and environmentally friendly. This study aimed to analyze the effect of bioadsorbent dosage and contact time on Pb²⁺ removal efficiency and evaluate Pb²⁺ mass distribution using mass balance analysis in a batch adsorption system. Ramie leaf (Boehmeria nivea) was utilized as a bioadsorbent due to its lignocellulosic content, which provides active sites for metal ion adsorption. The research was conducted experimentally through bioadsorbent preparation, chemical activation, and batch adsorption using artificial Pb²⁺ solutions with variations in bioadsorbent dosage and contact time. Pb²⁺ concentrations before and after adsorption were analyzed using Atomic Absorption Spectroscopy (AAS). The obtained data were used to determine removal efficiency and Pb²⁺ distribution between the liquid phase and bioadsorbent. The results showed that ramie leaf bioadsorbent effectively reduced Pb²⁺ concentration, with the optimum condition obtained at 4 g/L bioadsorbent dosage and 90 minutes contact time, achieving 98.46% removal efficiency. Mass balance analysis indicated that Pb²⁺ ions were successfully transferred from the solution phase onto the bioadsorbent surface. These findings demonstrate that ramie leaf bioadsorbent has potential as a sustainable alternative material for heavy metal removal in wastewater treatment.

The development of information and communication technology has significantly transformed the field of education. Teachers no longer depend only on lectures to deliver learning materials but also use various learning media to improve the effectiveness of the teaching and learning process. One of the most widely used innovations is interactive learning media, which combines text, images, audio, video, and other interactive features to support student learning. Interactive learning media can create a more engaging and enjoyable learning environment. Through this media, students actively participate in learning activities rather than simply receiving information passively. As a result, their attention, motivation, and understanding of the learning materials can improve. However, low student learning outcomes remain a challenge in education. Limited student involvement in the learning process often affects their ability to understand lessons and achieve learning objectives. Previous studies have indicated that interactive learning media can enhance both the quality of learning and student achievement. Therefore, examining the influence of interactive learning media on student learning outcomes is important to support the development of more effective, innovative, and technology-based learning processes in the digital era.

This literature review synthesizes findings from fifteen peer‑reviewed studies published between 2020 and 2026 to examine the determinants of sustainable competitive advantage in the furniture industry. The analysis reveals that green innovation, environmental performance, and market orientation interact as core drivers of competitiveness, supported by theoretical perspectives including the Resource‑Based View, Natural Resource‑Based View, Institutional Theory, Circular Economy, and Strategic Management frameworks. The review highlights how internal capabilities, regulatory compliance, and responsiveness to consumer preferences collectively shape the ability of micro, small, and medium enterprises to adapt to sustainability demands in global markets. Evidence shows that eco‑innovation practices, waste recovery strategies, and clustering models enhance efficiency and legitimacy, while indicators of green growth and brand performance provide practical tools for evaluating sustainability outcomes. The synthesis underscores that competitive advantage in this sector is not determined by isolated variables but by systemic integration across resources, operations, and market dynamics. This study contributes theoretically by consolidating fragmented insights into a coherent conceptual model and practically by offering guidance for enterprises and policymakers to foster green transformation. The findings emphasize the urgency of aligning industrial practices with ecological integrity and suggest that future research should examine cross‑country variations, longitudinal impacts, and the integration of digital technologies with sustainability strategies to strengthen the resilience of furniture enterprises in the global economy.

This study aims to describe the process of implementing the Sympathy Mailbox media in writing expressions of concern by knowing the improvement in student learning outcomes and their responses. This study uses experimental research with a quantitative descriptive approach and a pretest-posttest control group design. The subjects involved were 64 seventh-grade students of SMP Negeri 47 Surabaya. Data collection included observation, tests, and questionnaires with data analyzed in the form of percentages, means, and t-tests. The results obtained showed that the learning process ran very well starting from the preparation stage in the form of providing two sympathy boxes, the implementation stage and the evaluation stage through the final test and response questionnaire. This can be proven by the percentage of student activity of 93.75% and educators 90%. The average student learning score increased in the pre-test from 75.12 to 84.37 with a gain value of 9.31. The t-test produced a t-count value of 9.23 which was higher than the t-table, this proved that there was a significant influence of the sympathy mailbox media on the ability to write expressions of concern. The students' response to the learning was very positive, so it can be concluded that the process of implementing the sympathy box media in learning was successful.

Background:Landslides are a disaster that often occurs in hilly areas with high rainfall. The community's lack of knowledge about mitigation increases the risk of losses and casualties. This community service activity aims to improve the knowledge and preparedness of cadres and the community of Pargarutan Dolok Village in facing landslides through mentoring and counseling activities. The activity was carried out on May 25, 2026 in Pargarutan Dolok Village, East Angkola District, South Tapanuli Regency, targeting village cadres and the local community. Methods:The methods used included delivering material, interactive discussions, questions and answers, and distributing leaflets regarding the causes, signs, impacts, and mitigation steps for landslides. Evaluation was carried out through observations of participant participation and their ability to understand the material provided. The activity went well and received active participation from all participants. Results:The results of the observations showed an increase in participants' understanding of the causes, early signs, impacts, and actions that need to be taken before, during, and after a landslide occurs. The enthusiasm of the participants during the discussion also showed an increase in public awareness of the importance of disaster mitigation and preparedness. Conclusion: These findings indicate that landslide preparedness training is effective in increasing the knowledge, awareness, and preparedness of cadres and the community regarding landslide risks. This activity is expected to be the first step in strengthening community capacity and supporting the creation of disaster-resilient villages through ongoing disaster education.

Braking performance is an important aspect of motorcycle safety because it relates to the vehicle’s ability to reduce speed and stop properly. In a hydraulic disc brake system, braking is influenced by mechanical and hydraulic factors, especially disc brake diameter and master cylinder pressure. Disc brake diameter determines the effective braking radius, while master cylinder pressure generates hydraulic pressure that is transmitted to the caliper. This study aims to analyze the effect of disc brake diameter and master cylinder pressure variations on the braking distance and braking time of a 110 cc motorcycle. This research used a quantitative experimental method with a Honda Revo Injection 110 cc motorcycle as the test object. The disc brake diameter variations were 190 mm, 220 mm, and 260 mm, while the master cylinder pressures were 2 bar, 4 bar, and 6 bar. Each treatment combination was tested three times at an initial speed of 40 km/h on a dry and flat asphalt road. Braking distance was obtained from front wheel rotation data recorded by a magnetic digital counter, while braking time was determined from video recordings. The data were analyzed using Two-Way ANOVA and response optimization. The results showed that increasing disc brake diameter and master cylinder pressure reduced braking distance and braking time. The best combination was obtained at a 260 mm disc brake diameter and 6 bar master cylinder pressure, producing a braking distance of 12.8 m and a braking time of 2.3 s.