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Gatot, a fermented-cassava food, is the culinary icon of Gatot Tourism Village in Sumberpucung Subdistrict, Malang Regency. Cafe Koka, the pioneering gatot business in the area, faces two problems that hold back its growth. Its drying process still relies on sunlight, so production stops during the rainy season and the failure rate reaches 30–40%, while product presentation lacks adequate display facilities, lowering its appeal and selling value. This community-service program installed a 5 kg-per-batch cabinet dryer and two display refrigerators, accompanied by dried-gatot packaging development and staff training. The work followed a Plan-Do-Check-Act cycle combined with participatory mentoring over eight months, evaluating production and marketing indicators. After the program, drying time dropped from 2–4 days to about 4–5 hours, the product failure rate fell to 8–10%, and drying uniformity rose to about 90%. On the marketing side, impulse purchases increased by more than 40%, customer satisfaction with product display reached 4.5 of 5 (n=50), and monthly revenue grew about 175% owing to the new packaged-gatot line. Combining production and marketing technology strengthened the self-reliance of this local-food micro-enterprise.

Haul Guru Sekumpul is one of the biggest religious traditions in Indonesia that brings together millions of participants from various regions to commemorate KH. Muhammad Zaini Abdul Ghani, better known as Guru Sekumpul. This activity not only serves as a religious commemoration, but also reflects the value of togetherness, solidarity, and deep spirituality. This research aims to reinforce the argument that in fact the feedback process between group involvement and emotional reactions strengthens solidarity, both in mechanical and organic contexts, thus creating deeper social bonds. Thus, mechanical and organic solidarity are not separate but interrelated. Through a qualitative approach, this research analyzes how mechanical and organic solidarity interact with each other in the context of this activity. The results show that mechanical solidarity, characterized by shared values and beliefs, serves as the foundation for a more complex organic solidarity, where individuals with different roles depend on each other. The findings also serve as a critique of Émile Durkheim's theory of solidarity. In addition, the use of social media and traditional media plays an important role in disseminating information and organizing activities, creating a sense of community among congregants. This is also a new additional factor that is in line with the changing times but was previously undeveloped during Émile Durkheim's time. Thus, Haul Guru Sekumpul is not only a religious event, but also a symbol of collective power that binds people in a common goal, creating a harmonious and respectful community.

Embroidery is one of Indonesia’s traditional craft arts that has developed over time and continues to attract people from various social backgrounds. Embroidery techniques are commonly applied to fashion products as well as household items. The diversity of embroidery motifs and techniques provides aesthetic value and uniqueness to each product, making embroidery an important element in the development of the fashion industry. This opportunity can encourage students of the Fashion Design Program at AKS Ibu Kartini to develop their entrepreneurial potential through creativity in manual embroidery. This study employed a quantitative approach using multiple linear regression analysis as the data processing technique to determine the influence of internal factors on the entrepreneurial motivation of Fashion Design students at AKS Ibu Kartini. The research sample consisted of 65 respondents. The findings revealed that, simultaneously, the four independent variables had a significant effect on entrepreneurial motivation, with a coefficient of determination (R²) value of 0.910. This indicates that 91% of the variation in entrepreneurial motivation can be explained by technical knowledge (X1), technical skills (X2), creativity and innovation (X3), and entrepreneurial mindset (X4), while the remaining 9% is influenced by other factors outside this study. Partially, variables X1, X2, and X4 showed a positive and significant effect on entrepreneurial motivation, whereas X3 demonstrated a negative and significant effect. This finding indicates that creativity without market orientation may reduce students’ motivation to engage in entrepreneurship. The implications of this study emphasize the importance of improving students’ knowledge, skills, and entrepreneurial mindset. Furthermore, proper guidance is needed to ensure that students’ creativity and innovation are aligned with market demands in order to optimally enhance entrepreneurial motivation.

This study analyzes the effect of logistics digitalization systems and personnel competence on the distribution of personnel uniforms (kaporlap) at Kodiklatal. The study was motivated by the fact that the distribution system had not yet operated optimally despite the implementation of digital logistics, while delays in updating the Sistem Informasi Entitas Samapta (SIMBENSAM), limited documentation of device identities, and unequal digital skills among personnel still constrained distribution performance. A quantitative approach with explanatory design was applied. The population consisted of 3,099 personnel and the sample comprised 97 respondents selected using Slovin's formula. Data were collected through Likert-scale questionnaires and internal documentation, then analyzed using validity and reliability tests, classical assumption tests, descriptive analysis, and simple and multiple linear regression. The results show that the logistics digitalization system has a positive and significant effect on kaporlap distribution (t = 24.607; p < 0.05), personnel competence also has a positive and significant effect (t = 37.972; p < 0.05), and both variables simultaneously affect distribution performance (F = 788.285; p < 0.05) with an R square of 0.944. These findings confirm that digital systems and human competence must be strengthened in an integrated manner to support efficient, accurate, and timely distribution in a military education environment.

Penelitian ini bertujuan untuk menganalisis pengaruh inflasi, suku bunga Federal Funds Rate (The Fed), dan pertumbuhan ekonomi Indonesia terhadap Indeks Harga Saham Gabungan (IHSG) selama periode 2005–2025. Penelitian menggunakan pendekatan kuantitatif dengan memanfaatkan data sekunder berbentuk deret waktu (time series) tahunan. Analisis dilakukan menggunakan metode regresi linear berganda dengan bantuan perangkat lunak IBM SPSS Statistics. Sebelum dilakukan estimasi model, terlebih dahulu dilakukan pengujian asumsi klasik yang meliputi uji normalitas, multikolinearitas, autokorelasi, dan heteroskedastisitas untuk memastikan bahwa model regresi memenuhi persyaratan statistik. Pengujian hipotesis dilakukan melalui uji F untuk menguji pengaruh variabel independen secara simultan, uji t untuk menganalisis pengaruh masing-masing variabel secara parsial, serta koefisien determinasi (R²) untuk mengukur kemampuan model dalam menjelaskan variasi IHSG. Hasil penelitian menunjukkan bahwa model regresi telah memenuhi seluruh asumsi klasik sehingga layak digunakan dalam analisis. Pengujian simultan membuktikan bahwa inflasi, suku bunga The Fed, dan pertumbuhan ekonomi secara bersama-sama berpengaruh signifikan terhadap IHSG. Sementara itu, hasil uji parsial menunjukkan bahwa hanya suku bunga The Fed yang berpengaruh negatif dan signifikan terhadap IHSG, sedangkan inflasi dan pertumbuhan ekonomi tidak menunjukkan pengaruh yang signifikan secara statistik. Nilai koefisien determinasi sebesar 52,4% mengindikasikan bahwa variasi IHSG dapat dijelaskan oleh ketiga variabel independen dalam model, sedangkan 47,6% sisanya dipengaruhi oleh faktor lain di luar penelitian. Temuan ini diharapkan dapat menjadi referensi bagi investor maupun pembuat kebijakan dalam memahami pengaruh kondisi makroekonomi terhadap dinamika pasar modal Indonesia.

Students who silmutaneously work and study often face dual responsibilities that require careful planning of their time between job duties and academic obligations. This scenario can influence academic perfomance, highlighting the importance of effective time management for optimal study outcomes. The present study investigates the influence of study time management on the academic perfomance of working student. A quantitative research method with a correlational design was employed, the study sampled 108 working the sample consisted of students selected via puposive sampling. Data were collected via an online questionnaire consisting of 12 items and acdemic achievment was measured using the responden semester grade point average (GPA). To ensure the instrument was reliable Cronbach’s alpha was calculated, resulting in a value of 0.607, indicating acceptable consistency. Analysis using sample linear regression in spss revealed that study time management significantly and positively affects academic perfomance (p=0.012<0.05). Study time management explains approximately 5.9% of the variance in academic achievement, as indicated by an (R²) of 0.059. whereas the remaining 94.1% is determined by other influences.

This study aims to analyze the effect of renewable energy, energy consumption, and Gross Domestic Product (GDP) per capita on carbon dioxide (CO2) emissions in Indonesia for the period 1995-2024. This study uses secondary data over time (time series) with the Ordinary Least Square (OLS) multiple linear regression analysis method corrected using the Newey-West Heteroskedasticity and Autocorrelation Consistent (HAC) approach. The results show that renewable energy does not have a significant effect on CO2 emissions, which is caused by the still low share of renewable energy in the national energy mix which only reaches 10.95% in 2024. Energy consumption has a positive and significant effect on CO2 emissions, where every 1% increase in energy consumption increases CO2 emissions by 84.23%. Gross Domestic Product (GDP) per capita has a positive and significant effect on CO2 emissions. Every 1% increase in GDP per capita increases CO2 emissions by 35.03%, indicating that Indonesia remains on the EKC curve. Simultaneously, all three variables have a significant effect, with an adjusted R-squared value of 53.63%. This finding confirms that Indonesia's energy mix, still dominated by fossil fuels, is a major factor in high carbon emissions. Comprehensive energy efficiency policies, accelerated renewable energy transitions, and greener and more sustainable economic growth strategies are needed.

The use of synthetic pesticides in the agricultural sector remains the primary choice for farmers in Indonesia due to their high effectiveness, but their massive use has negative impacts on human health and the environment. Therefore, there is a need for environmentally friendly and sustainable pesticide innovations. Red onion peel waste with the addition of TiO₂ nanotechnology is a strategic development step as a solution to the dangers of synthetic pesticides. Red onion peel contains bioactive compounds such as acetogenin, squamocin, gibberellin, cytokinin, and abscisic acid, which have the potential to be natural pest control agents. The process of making organic pesticides is carried out through the maceration of onion skins, followed by the addition of TiO₂ nanoparticles that act as photocatalytic catalysts to increase pesticide effectiveness and degrade synthetic pesticide residues. The development of these organic pesticides is in line with the principles of Green Chemistry, particularly designing safer chemicals, catalysis, design for degradation, and real-time pollution prevention. Through the implementation of strategic steps such as research, testing, socialization, and continuous evaluation, TiO₂ nanotechnology-based organic red onion peel pesticides have the potential to become a safe, effective, and environmentally friendly alternative in supporting sustainable agriculture in Indonesia.

The rapid digital transformation in educational institutions demands an efficient student grade data processing system capable of handling workloads responsively. This study aims to analyze and compare the efficiency of sorting algorithms (Merge Sort and Quick Sort) and searching algorithms (Linear Search and Binary Search) on a web-based platform. The research method employed is laboratory experimental, testing algorithm performance across various data volume stratifications, ranging from 50 to 1000 entities, using the V8 JavaScript engine. Research findings indicate that Quick Sort possesses superior speed compared to Merge Sort due to its efficient in-place sorting architecture, which minimizes memory overhead and Garbage Collection activity. Furthermore, a performance anomaly was discovered where the Just-In-Time (JIT) Compiler mechanism optimizes execution on large data volumes through a warm-up phase. In the searching aspect, Binary Search demonstrates superior O(log n) logarithmic stability compared to Linear Search, which risks causing interface freezing on massive data. The implication of this study is the critical importance of implementing data pre-sorting protocols to exploit logarithmic search speeds to ensure academic information system scalability. The integration of appropriate algorithms proves to be a crucial foundation in maintaining web application responsiveness amidst the ever-increasing escalation of educational data.

This research investigates how profitability, leverage, activity levels, and company scale impact financial distress in property and real estate firms traded on the Indonesia Stock Exchange. The selection of this sector stems from its high exposure to economic ups and downs, leaving its businesses particularly prone to financial troubles. Independent factors in the analysis include profitability, leverage, activity, and firm size, with financial distress serving as the outcome variable. Samples were drawn via purposive sampling from property and real estate entities listed on the Indonesia Stock Exchange over the 2022–2024 timeframe. Adopting a quantitative design, the study applies multiple linear regression as its core analytical tool. STATA version 17 handled the data analysis. Results show that, taken together, the independent variables exert a significant impact on financial distress. Ultimately, firms should optimize their financial metrics and pursue business growth to mitigate financial distress risks.

 Education in the 21st century demands a paradigm shift from passive learning to collaborative and student-centered learning, in line with the Merdeka Curriculum’s emphasis on the value of mutual cooperation. However, challenges arise due to the younger generation’s heavy reliance on technology, which tends to foster individualism. This study aims to examine the implementation of cooperative learning strategies as a solution to foster social interaction and student engagement. Cooperative learning strategies constitute a conceptual framework for a series of learning activities within heterogeneous small groups to achieve shared goals. Through a literature review, it was found that the implementation of these strategies involves systematic steps ranging from group formation, problem-solving discussions, to group recognition. The results of the analysis indicate that cooperative strategies have significant advantages in enhancing students’ self-confidence, independence, responsibility, and academic achievement. Although they have limitations regarding time management and the need for specific skills among educators, these strategies are considered highly relevant for fostering students’ character to be inclusive, tolerant, and capable of collaborating amidst differences.

This study evaluates how macroeconomic variables such as interest rates, inflation, and exchange rates affect the returns on corporate bonds issued by the banking sector in Indonesia. Corporate bonds are an attractive investment alternative, but their performance is highly influenced by fluctuations in national economic conditions. This study uses secondary data obtained from company financial reports, macroeconomic data, and bond market information over a certain period. Multiple linear regression analysis is applied to assess the extent to which each factor affects bond returns. The analysis results indicate that increases in interest rates and inflation tend to reduce bond returns, while the effect of exchange rates is inconsistent and depends on the economic stability at the time. These findings can serve as important considerations for investors, financial analysts, and policymakers in managing risks and opportunities in the Indonesia banking bondmarket.

A single paragraph, maximum 250 words. Abstract content must contain (1) an overview of the object of research, (2) problems, and research objectives, (3) proposed methods, (4) main findings and results and synthesis of main ideas, and (5) conclusions. In recent years, the Iran–United States conflict has not only unfolded within the geopolitical arena but has also been intensively constructed through international media framing that shapes how global audiences understand this reality. In the context of the digital information overflow, media no longer function merely as conveyors of facts; rather, they act as agents that construct meaning, evoke emotions, and shape the social perceptions of audiences. This study aims to analyze how international media framing constructs representations of the Iran–United States conflict and how audiences interpret such discourse within their social experiences. This research adopts a qualitative approach with a Critical Discourse Analysis (CDA) design. Data were collected through document analysis of 25 news articles from both Western and non-Western media, as well as exploratory interviews with nine participants from academic backgrounds. Data analysis was conducted using a thematic approach based on Norman Fairclough’s three-dimensional model. The findings reveal three main patterns: the construction of threat through media language, moral polarization that produces a dichotomy of “us versus them,” and the negotiation of meaning by audiences, which is reflective and not always linear. These findings indicate that audiences are not entirely passive; rather, they actively interpret and, at times, question media framing. Theoretically, this study extends Critical Discourse Analysis by incorporating the dimension of audience experience into the discursive process. Practically, it underscores the importance of critical media literacy in navigating the complexity of global information and opens avenues for further exploration of the relationship between discourse, power, and social experience.

This study aims to examine the simultaneous and partial effects of the work environment and work-life balance on employee work stress at Hotel X. The research design is causal quantitative, with multiple linear regression analysis using SPSS 26.0 for Windows. The sample was obtained through purposive sampling (non-probability) of 120 respondents. The research subjects were employees working in shifts. The analysis results show that, (1) both variables simultaneously have a negative and significant effect on work stress, (2) the work environment has a negative and significant effect (sig. 0.002), and (3) work-life balance has a negative and significant effect (sig. 0.000). The work-life balance variable dominates its influence compared to the work environment, as seen from the lower significance value. These findings confirm that improving work-life balance and the work environment effectively reduces stress, especially for shift workers who are vulnerable to time imbalance. Based on the results, organizations are advised to optimize human resource management by maintaining a balance between job demands and employee conditions, as well as ensuring a proportional workload. Improvement in work-life balance can be achieved through flexible leave policies, adequate breaks between shifts, no overtime days except in emergencies, and minimizing personal time interruptions. These steps are expected to enhance employee well-being, retention, and productivity in the hospitality sector. Further research is recommended to explore different variables and methods, including comparing non-shift employees with the same variables, for more comprehensive insights.

This study aims to analyze the effect of product bundling strategies, countdown timer urgency, and social proof on the interactive responses of Generation Alpha consumers toward Scora skincare products in Bandar Lampung, with live streaming as a moderating variable. Interactive responses in this study include comments, questions, likes, and purchase actions during live streaming sessions. This research employs a quantitative approach, with data collected through ques-tionnaires. The sample consists of 300 Generation Alpha respondents in Bandar Lampung who have watched Scora’s live streaming promotions. Data analysis techniques include multiple linear regression analysis and Moderated Regression Analysis (MRA). The results indicate that product bundling strategies, countdown timer urgency, and social proof have a positive and significant effect on interactive responses, both partially and simultaneously. However, the moderation test results reveal that live streaming does not moderate the relationship between product bundling strategies, countdown timer urgency, and social proof on interactive responses. These findings suggest that although live streaming serves as a primary promotional medium, it does not necessarily strengthen the influence of marketing strategies on Generation Alpha’s in-teractive responses. This study is expected to provide practical insights for local skincare brands in developing more effective digital marketing strategies through live streaming commerce.

This study analyzes the performance of the Dual Modulus RSA algorithm in securing text data using Python. The rapid growth of digital technology has increased the risk of data security threats, making efficient and secure encryption essential. Dual Modulus RSA is a modification of the classic RSA algorithm that uses two different moduli in the encryption and decryption process, thus increasing security levels because attackers must factorize two moduli simultaneously. This research uses an experimental quantitative approach by measuring the execution time of encryption and decryption processes with variations in plaintext length (5, 10, and 15 characters). Implementation was carried out using Python 3 with the time.perf_counter() function for microsecond-precision measurement. The results show that the Dual Modulus RSA algorithm successfully encrypts and decrypts all test plaintexts correctly. Encryption time ranged from 0.0212 ms to 0.0823 ms, while decryption time ranged from 0.0422 ms to 0.0955 ms. There is a positive linear relationship between plaintext length and processing time. Decryption is consistently slower than encryption due to the larger private key exponent (d1=2753, d2=3533) compared to the public exponent (e=17). The main factors affecting performance are exponent size, dual modulus overhead, CPU caching effects, and Python interpretation overhead. This study recommends using Dual Modulus RSA with hybrid encryption for practical implementation to balance security and performance.

The hospital laundry installation is a non-medical supporting unit with a high risk of occupational health and safety (OHS) hazards due to direct exposure to chemicals, machinery, and contaminated linen. Potential hazards in this unit include physical (heat, noise), chemical (detergents and disinfectants), biological (viruses and bacteria from linen), and ergonomic (improper working posture) risks. This study is a descriptive quantitative research with a semi-quantitative approach. The aim is to identify, assess, evaluate, and control OHS risks in the laundry unit. Data were collected through observation, interviews, and document review with seven laundry staff members. Risk assessment was conducted using a risk matrix based on the AS/NZS 4360:2004 standard. The results show that several risks ranged from low to very high levels, including infection from linen, chemical exposure, noise, and injury from machinery. Risk control measures implemented include applying the hierarchy of controls, starting from elimination, substitution, engineering controls, Administratif controls, and the use of personal protective equipment (PPE). It is concluded that improvements in supervision, staff training, and facility upgrades are necessary to minimize occupational accidents in the laundry installation.

This study aims to analyze the workload of sewing operators within a single production line and to equalize the workload using the line balancing method at PT. Pan Brothers. The garment industry requires high production efficiency; therefore, balanced workload distribution among operators is necessary to ensure optimal production processes. This research used an observational approach with data collection through direct observation of the sewing process, literature study, and documentation of production data. The research population consisted of 36 operators on the observed production line, analyzed through time study activities. The analyzed data included cycle time, takt time, and work processes at each workstation. The results showed that several processes had cycle times exceeding the takt time, specifically in processes number 2, 5, 6, 12, 17, 23, and 26, which caused bottlenecks and workload imbalance among operators. The calculation results indicated that the actual process time reached 520 seconds per product, while the ideal time based on takt time was 287 seconds per product, resulting in a time difference of 233 seconds or about 44% longer than the standard time. The implementation of the line balancing method was carried out by redistributing work elements from processes with high workloads to processes with remaining work capacity. The improvement results showed that the workload among operators became more balanced, the production process became more efficient, and the potential for bottlenecks could be minimized, enabling the company to achieve its production targets.

This research aims to analyze the urgency of implementing Statement of Use, Declaration of Use, and Specimen of Use instruments as a means of supervising trademark use obligations in Indonesia. Currently, Law Number 20 of 2016 concerning Trademarks and Geographical Indications (UU MIG) only requires a written statement of use without being accompanied by concrete evidence at the time of renewal applications. This creates a loophole for trademark registrations without the intent to use (non-use), which can hinder bona fide applicants.  This study employs a normative legal research method with a comparative law approach between the UU MIG and the Lanham Act (U.S. Trademark Act of 1946). The Lanham Act mandates proof of actual trademark use through a Statement of Use for intent-to-use applications, as well as a Declaration of Use for applications based on use-in-commerce, which must be submitted with a Specimen of Use as actual evidence of the trademark's use in trade.  The results indicate that the adoption of these instruments into the Indonesian legal system is urgent to strengthen the supervisory function of the Directorate General of Intellectual Property (DGIP). This implementation would enable the DGIP to conduct administrative (ex-officio) trademark cancellations for non-use, thereby purging the trademark database of passive marks without having to rely on third-party lawsuits. This legal reform is in line with the legal development theory to encourage business actors to actively utilize the economic functions of trademarks.

This research is motivated by the problem of the open unemployment rate in Maluku Province which is still fluctuating, where the influence of human capital indicators such as the Average Years of Schooling and the Gross Enrollment Rate of Senior High Schools as well as economic policies such as the Provincial Minimum Wage often show results inconsistent with theory, thus requiring further empirical studies to determine their influence in the region. The purpose of this study is to analyze and determine the partial and simultaneous effects of the average years of schooling, the gross enrollment rate of senior high schools, and the provincial minimum wage on the open unemployment rate in Maluku Province. The method used is quantitative with secondary data in the form of time series from 2015 to 2024 sourced from the Central Statistics Agency (BPS) of Maluku Province, and analyzed using multiple linear regression techniques. The results show that the average years of schooling have a negative and significant effect, while the gross enrollment rate of senior high schools and the provincial minimum wage each have a positive insignificant and negative insignificant effect on the open unemployment rate. Simultaneously, the three variables also have no significant effect. The implications of these findings confirm that increasing the average length of schooling is a key factor in reducing unemployment, but policies related to minimum wages and high school participation need to be reviewed and combined with other policies to be more effective in addressing unemployment in Maluku Province.