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This study aims to determine the level of problematic smartphone use (PSU) and revenge sleep procrastination (RBP) among MTs/SMP students in District X, while also examining the relationship between the two variables. The problem of excessive smartphone use among adolescents is increasingly important to study because it can impact sleep quality, learning concentration, and mental health. This research approach uses a quantitative correlational method with data collection through a bold questionnaire (Google Form). The research sample consisted of 103 MTs/SMP students in District X who were selected using an incidental sampling technique. The RBP variable measurement scale was developed by the researcher with reference to aspects proposed by Kroese et al. (2014). Meanwhile, the PSU Scale was developed based on dimensions formulated by Foerster et al. (2015), including withdrawal, desire, loss of control, dependence on peers, and negative life consequences. The results of the correlation analysis showed that PSU had a very strong positive relationship with RBP (r = 0.833) and was statistically significant (p < 0.000). This means that the higher a person's tendency to experience problematic smartphone use, the greater the likelihood of revenge bedtime delay. Among the dimensions of PSU, withdrawal showed the highest correlation with RBP (r = 0.831). This was followed by negative life consequences (r = 0.778), craving (r = 0.577), loss of control (r = 0.489), and dependence on peers (r = 0.333). Overall, this study concludes that PSU plays a significant role in increasing RBP trends among students. These findings highlight the urgent need for awareness and intervention programs to reduce excessive smartphone use among adolescents. Therefore, the results of this study are expected to serve as a reference for schools and parents in designing strategies to prevent the negative impacts of smartphone use on adolescents.

Indonesia has many types of junk food that have a strong taste, but are generally not nutritionally balanced, namely high in fat, salt, or sugar and low in fiber. One of the most popular is nuggets which are generally made from meat. As a healthier alternative, nuggets are made using oyster mushrooms which are low in fat and higher in fiber, and combined with gluten-free and high-fiber corn and tapioca flour to replace wheat flour which contains gluten. This study aims to determine the effect of the combination of corn and tapioca flour on the physicochemical characteristics of oyster mushroom nuggets. This study used a Completely Randomized Design (RAL) with 5 treatments in duplicate. The formulation was used with a combination of corn and tapioca flour, namely 60: 0 (P1), 45: 15 (P2), 30: 30 (P3), 15: 45 (P4), and 0: 60 (P5). The results of the analysis have an effect (P <0.05) on chemical characteristics with a range (db%) of ash content of 3.9% -4.71%; fat content 1.37% - 7.76%; protein content 6.79% - 18.79%; carbohydrate content 71.46% - 77.43%; crude fiber 3.9% - 8.27%, and on physical characteristics with a textured range of 1.1N-2.69 N; color L 50.55- 53.73; color a 2.78- 4.64; color b 10.89-13.71. The implications of this study indicate that online substitution into mushrooms with a combination of corn flour and tapioca can affect the nutritional value and quality of nuggets.

This community service activity was implemented using a service learning approach through a business planning and public communication training program for the Merah Putih Village Cooperative in Huta Baringin. The background to this activity stems from the need for cooperative members to increase their capacity in designing sustainable business plans and effective public communication skills in conveying the cooperative's vision, mission, and programs to the community. The implementation method was carried out through the stages of needs identification, formulation of training materials, simulation practices, and intensive mentoring. The results of the activity showed an increase in cooperative members' understanding in developing business plans based on local potential and improved public communication skills, both within the organizational context and externally to strategic partners. This program not only strengthens the cooperative's independence but also demonstrates the relevance of the service learning model in connecting the roles of academics, students, and the community collaboratively. Thus, this training contributes to local economic empowerment and strengthening institutional communication capacity at the village level.

This study aims to compare the results of student living cost estimates over a four-year study period using two approaches in financial mathematics, namely the discrete model and the continuous model. The background of the study is based on the need for students to manage their personal finances effectively amidst rising living costs due to inflation. The discrete model is used to predict expenses at certain time intervals, while the continuous model assumes that changes in the value of money occur continuously at all times. This study uses a quantitative descriptive-comparative method with controlled simulations on 100 student data with variations in monthly living costs between Rp2,000,000–Rp4,000,000 and a random inflation rate of 0%–20%. The data were analyzed using discrete and continuous growth formulas, then a Paired Sample t-Test was performed to determine significant differences between the two models. The results show that both models produce very similar living cost estimates with an average difference of only about 1–3% of the total four-year costs. The continuous model produces slightly higher results than the discrete model due to its exponential and continuous nature of calculations. However, the statistical test results showed a p-value > 0.05, indicating no statistically significant difference between the two. Practically, both approaches can be used equally in student financial planning, with the discrete model being more appropriate for short-term projections and the continuous model being more appropriate for long-term projections.

This study aims to explore the challenges and strategies for the regeneration of Christian youth leaders in the Society 5.0 era, focusing on an adaptive leadership mentoring approach to digital dynamics. Through a qualitative literature study method, the study identified three main challenges: intergenerational gaps in mentoring practices, the impact of digitalization on youth spirituality, and the lack of structured mentoring programs. The theological principles of 1 Timothy 4:12 and 2 Timothy 2:2 serve as the foundation for formulating a holistic mentoring model, including exemplary integrity, legitimacy of leadership beyond age, holiness in the digital space, and multiplicative discipleship. The findings of the study indicate that the hybrid mentoring model (a combination of online and offline), the integration of Christian values with digital literacy, and a project-based approach are effective in forming relevant young leaders. The theoretical and practical implications of this study contribute to the development of digital leadership theology and contextual church curriculum, while encouraging intergenerational collaboration in youth development.

This research motivation is the researchers' observations regarding turnover intention at the Yuan Garden Hotel, Pasar Baru. Job insecurity and job stress are factors that influence turnover intention at the Yuan Garden Pasar Baru Hotel. The research purpose is to reveal and describe the job insecurity impact and job stress on turnover intention at the Yuan Garden Pasar Baru hotel. This type of research is quantitative descriptive with a sampling technique using purposive sampling and a sample size of 60 respondents based on a saturated sampling formula. The technique for data collection in this research uses a questionnaire with a Likert scale which has been tested for validity and reliability. The collection for is analyzed using multiple linear regression analysis with the support by SPSS (Statistics Product and Service Solution) calculation tool version 27.00. Based on the analysis results, conclusions shown on the t-test results, for the variable job insecurity (X1) with a level of significant is 0.001 < 0 .05, meaning there is a significant influence of job insecurity on turnover intention. Meanwhile, the t-test results for the job stress variable (X2) have a level of significance is 0.393 < 0.05, meaning that job stress has no significant effect on turnover intention. Based on the f-test with a level of significance is 0.000 < 0.05, this means that simultaneously job insecurity (X1) and job stress (X2) have a significant effect on turnover intention. The job insecurity (X1) and job stress (X2) variables influence the turnover intention (Y) variable by 37.6% while the remaining 62.4% is influenced by other variables.  

This research explores the crucial role of cybersecurity in building and maintaining digital trust for e-business sustainability. The rapid digitalization era has increased business dependence on digital platforms but also brought cyber risks that can threaten customer trust and operational sustainability. This systematic literature review analyzes recent research (2021–2025) from various academic databases including Google Scholar, IEEE Xplore, ScienceDirect, Scopus, and ACM Digital Library. The research objectives are to identify the impact of cyber incidents on customer trust, analyze digital trust-building strategies, and formulate recommendations for e-business sustainability. Study results show that cyber incidents can reduce customer trust by up to 60% and cause average financial losses of $3 million per incident. However, implementing comprehensive cybersecurity strategies, communication transparency, and rapid recovery can restore trust and enhance business resilience. The research emphasizes the importance of a holistic approach that integrates security technology, risk management, and crisis communication to build a sustainable and trusted e-business ecosystem.

This study aims to analyze land cover changes in Pariaman City in 2013, 2018, and 2024 using Landsat-8 imagery with the support of the Google Earth Engine (GEE) platform and the Classification and Regression Trees (CART) algorithm. Land cover change is a critical issue in Pariaman City, as population growth, infrastructure development, and economic activities have driven significant land conversion. The classification generated eight land cover classes representing the general condition of the area. The analysis revealed that rice fields were the dominant land cover in all three periods; however, they experienced a substantial decline, indicating land conversion, particularly into settlements and road networks. In addition, the area of mangrove forests and water bodies in coastal regions decreased, while plantation areas in the eastern and southern parts of the city increased. Conversely, river land cover remained the smallest category, with annual fluctuations. The identified change patterns included urban sprawl (expansion of settlements into suburban areas), the conversion of productive land into infrastructure, and coastal degradation due to human activities and natural factors. The accuracy assessment produced overall accuracy and a Kappa index above 80%, while validation using the Mapping Accuracy method through Google Earth showed per-class accuracy rates above 75%, categorized as very good. These findings indicate that the use of satellite imagery and the CART algorithm in GEE is effective for monitoring land cover dynamics while providing valuable insights for local governments in formulating sustainable development policies and managing coastal environments such as those in Pariaman City.

Corruption is an extraordinary crime that not only causes massive state financial losses but also impedes national development. Efforts to eradicate corruption are insufficient if limited to the imprisonment of perpetrators; they must be accompanied by state asset recovery. The prosecutor, as the dominus litis in the criminal justice sistem, plays a central role in the process of seizing assets derived from corruption. This research aims to analyze the authority of prosecutors to seize assets in corruption cases, identify the obstacles encountered, and formulate solutions to optimize the exercise of this authority. The research method employed is normative juridical, utilizing a statutory approach and a case approach. The findings indicate that prosecutors have a strong legal basis for asset seizure, as stipulated in the Criminal Procedure Code (KUHAP), the Anti-Corruption Law, and other relevant regulations. However, in practice, prosecutors face various obstacles, both juridical, such as legal loopholes in the evidentiary process, and non-juridical, such as the complex modus operandi of perpetrators in concealing assets, slow inter-agency coordination, and challenges in tracing assets located abroad. Therefore, it is imperative to strengthen the regulatory framework through the enactment of the Asset Forfeiture Bill, enhance the capacity and integrity of prosecutors, and bolster international cooperation to maximize the recovery of state losses.

This study aims to analyze the impact of generational diversity, organizational culture, and leadership style on employee retention at PT Idea Solusi Indonesia in Tangerang City. This research employs a quantitative approach with descriptive data analysis, correlation, and hypothesis testing using multiple linear regression. The sampling method used is Non-Probability Sampling with a Total Sampling technique, where data is collected through questionnaires using a Likert scale. The collected data is then processed using Microsoft Excel software for further analysis. The results of this study show that the generational diversity variable does not have a significant impact on employee retention. Despite differences in age and background among employees, these factors do not significantly affect their decision to stay with the company. On the other hand, organizational culture and leadership style have a significant influence on employee retention. An inclusive organizational culture that supports teamwork, open communication, and recognition of individual contributions has been shown to improve employee satisfaction and loyalty. Additionally, a leadership style that supports individual development, provides support, and focuses on employee empowerment helps strengthen employee commitment to remain with the company. This study offers important managerial implications for PT Idea Solusi Indonesia in formulating policies to improve employee retention. The company needs to strengthen an organizational culture that promotes well-being and inclusivity, while also enhancing leadership styles that motivate and empower employees. By implementing these measures, the company can create a more conducive work environment that not only encourages loyalty but also boosts employee motivation and productivity in the long run. This is expected to improve the overall performance of the company and ensure more stable operational continuity.

Taro flour (Colocasia esculenta L. Schott) is a local food ingredient with significant potential to be developed as an alternative carbohydrate source. Its high starch content, dietary fiber, and functional properties make taro flour a promising candidate for use in various food formulations. Moreover, the widespread availability of taro in tropical regions supports its sustainable utilization. However, the development and application of taro flour face several challenges, such as high levels of antinutritional compounds (particularly oxalates), variability in characteristics among cultivars, limited processing technology, and low consumer acceptance. Therefore, innovation in processing techniques is needed, including pre-treatment methods to reduce antinutrient content, starch modification to enhance functionality, and composite formulation with other food ingredients to expand product applications. This article aims to establish a comprehensive conceptual framework for the innovative development of taro flour, focusing on processing technology, functional value, and commercialization potential. Through this approach, the development of taro-based products is expected to increase added value, support local food diversification, and strengthen national food security.

This study aims to evaluate the effectiveness of Indonesia’s National Cyber Security Strategy in responding to increasingly complex and dynamic digital threats. In the midst of the digital transformation era, Indonesia’s cyberspace is vulnerable to various serious threats, such as ransomware attacks, data leaks, and the spread of disinformation that can disrupt social and political stability. This research adopts a qualitative- descriptive approach with content analysis of national strategic documents, reports from the National Cyber and Crypto Agency (BSSN), and compares them with cybersecurity policies in ASEAN countries. The results revealed that although BSSN has designed a relatively robust policy and institutional framework, its implementation is still faced with various serious obstacles, including fragmented regulations, lack of coordination between agencies, and limitations in terms of human resources. This study uses Dunn’s (2023) policy evaluation framework, covering the dimensions of effectiveness, efficiency, responsiveness, equity and sustainability. The study recommends the need to strengthen governance involving various sectors, increase awareness and cyber literacy among the public, and develop national capacity through public private partnership. This evaluation is expected to serve as a basis for policy formulation to strengthen Indonesia’s digital resilience, especially in the face of the increasing complexity of cyber threats at the national level.

This study aims to analyze the winning strategy of Maria Caecilia Stevi Harman in the 2024 election of members of the Regional Representative Council (DPD) of the Republic of Indonesia in East Nusa Tenggara Province (NTT). As a newcomer and female politician, Stevi Harman managed to win the most votes, outperforming the incumbent candidates. The main focus of the research is to examine how it mobilizes the masses and builds effective political machines in local contexts. This study uses a descriptive qualitative approach with data collection methods through observation, in-depth interviews, and documentation. The results of the study show that Stevi Harman's winning strategy consists of four main steps: mission formulation, sub-strategy, goals, and target image. The practical strategies implemented include a direct and personal approach to voters, as well as the use of social media as a political communication tool. The success of the campaign was supported by Stevi's identity as a doctor, a politician's family background, and an authentic self-image that was close to the community. This research highlights the importance of adaptive communication strategies, the use of personal identity as political capital, and a relationship-based approach in winning voter votes. These findings contribute to the study of contemporary political strategies, especially in the context of non-partisan but competitive DPD member elections.

The agricultural sector plays a crucial role in the Indonesian economy, contributing significantly to Gross Domestic Product (GDP), employment, and national food security. Conventional financing is often poorly suited to the unique characteristics of the agricultural sector, prompting the exploration of more adaptive alternatives. Islamic banking, with its principles of fairness and risk-sharing, offers innovative financing solutions. One such contract with significant potential but underutilized is the Salam contract, a purchase-and-sell contract where payment is made upfront and goods are delivered at a later date. This study aims to analyze the characteristics of the Salam contract in depth, identify challenges and opportunities in its implementation in the Islamic agricultural sector, and formulate strategies for optimizing its application. Using a qualitative descriptive research method based on literature review and comparative analysis, this article finds that the Salam contract offers an effective financing solution for farmers' working capital needs, price risk mitigation for farmers, and supply security for buyers. Key challenges include the risk of crop failure, quality risk, moral hazard risk, and limited supporting infrastructure and market understanding. Optimizing the Salam contract can be achieved through the development of innovative contract models, strengthening risk management through takaful instrumentation, utilizing digital technology, improving Islamic financial literacy, and collaboration between stakeholders. The implications of this research are expected to provide practical guidance for Islamic financial institutions, farmers, and policymakers to create a more inclusive and sustainable Islamic agricultural financing ecosystem. With the right approach, the Salam contract has the potential to become a key instrument in Islamic agricultural financing. Its widespread implementation can drive the transformation of the agricultural sector toward a more productive and equitable direction. Sustainable efforts are needed to ensure its effective implementation in the field.

This study analyzes the application of the compound interest concept in evaluating capital growth among vegetable vendors at the MMTC Traditional Market in Medan, North Sumatra. The research highlights the low level of financial literacy among micro-entrepreneurs in Indonesia, which currently stands at only 38.03%, and its implications for business sustainability. Traditional market traders generally employ basic bookkeeping practices focused solely on daily cash flow, without considering the time value of money or the growth potential from systematic profit reinvestment. Using a mixed-methods approach, this study combines semi-structured interviews to explore existing financial management practices with quantitative modeling based on the discrete compound interest formula to simulate various capital growth scenarios. The analysis reveals that disciplined reinvestment strategies, even when initiated with modest capital and conservative growth rates, can lead to substantial capital accumulation within three to five years. Three primary barriers to capital growth were identified: limited understanding of financial mathematics, lack of long-term planning, and a tendency to prioritize immediate consumption over investment. This research underscores the transformative potential of compound interest principles for micro-enterprise development and recommends practical financial literacy training along with supportive financial ecosystems that encourage sustainable reinvestment practices.

Monitoring is an activity that examines a condition to obtain all necessary information. The outcomes monitoring can act as a guide for formulating strategies. Researchers found that in Kalembu Kaha Village, the monitoring of ongoing activities is still carried out traditionally, where the Kaur must go directly to the field to witness existing activities. Therefore, it is important to develop a monitoring system application so that all activities tracked instantaneously. In addition, this will facilitate effort Village Head to evaluate the progress of projects or activities carried out so that they can be on time. Through this research, was identified application, the Village Head can more easily monitor and supervise activities carried out by village officials. This allows the Village Head to evaluate and take action quickly and efficiently

Efficient management of patient queues is essential in healthcare systems to ensure timely care, optimize resource utilization, and enhance patient satisfaction. Mathematical programming, particularly when applied in conjunction with queuing theory and optimization models, provides a rigorous framework for analyzing and improving healthcare service delivery. This approach involves modeling arrivals and service processes, applying queuing models (such as single-server, multi-server, and priority queues), and formulating optimization objectives—often to minimize total costs, patient waiting times, or resource idling. Recent research demonstrates that combining queuing theory with mixed-integer programming and simulation techniques enables healthcare managers to allocate resources dynamically, set staffing levels, and assign priorities among different patient categories. For example, the use of mixed-integer programming can determine the optimal number of servers, beds, and service rates based on patient flow and priority needs, striking a balance between reducing waiting times for critical cases and controlling operational costs. These mathematical models also account for practical constraints and stochastic variability inherent in clinical settings. Applications span emergency departments, outpatient clinics, and even pharmacy and blood service centers—showing significant improvements in system efficiency, reduced patient wait times, and enhanced overall care quality. Thus, mathematical programming is a powerful decision-support tool for queue management, offering evidence-based strategies to address congestion and resource allocation challenges in complex healthcare environments.

This study aims to optimize the cake production profit at Cake by Cece using the Branch and Bound algorithm. The data used include raw material requirements per batch, daily raw material availability, and selling prices for three types of cakes: Cookies, Brownies, and Cinnamon Roll. The optimization model is formulated as an Integer Linear Programming problem with the objective of maximizing total daily profit. The model is solved using the simplex method followed by the Branch and Bound algorithm to obtain valid integer solutions. The results indicate that the optimal production combination is 2 batches of Cookies, 2 batches of Brownies, and 3 batches of Cinnamon Roll, yielding a maximum profit of IDR 233,000 per day. This solution satisfies all raw material constraints and is feasible for daily operational implementation. This study provides quantitative recommendations to support production decision-making in culinary sector MSMEs.

This study is aim to find out the significant effect of using grammar racing game to the students’ grammar score (simple present tense)  and the students’ interest toward grammar racing as media in teaching grammar for the Students of Elementary School Education Teacher Program In University of Palangka Raya. The study includes in Quantitative Paradigm with Experimental Design. The researcher designed the Lesson Plan, conducted the treatment and observed the students’ score by pretest and posttest. The population of study was at the first semester students which consisted of three classes. The researcher chose 1A as sample. The sample was determined using purposive sampling technique. After getting the data that were from pretest and posttest, the researcher analyzed the data using ttest formula to test the hypothesis stated based on the result of analysis, it was found that the value of tobserved = 8.677 and the ttable =2.03. It showed that the tobserved was higher than the ttable and to answer the second alternative hypotheses research used questionnaire there are 94 % of 43 students of 1A was interest toward grammar racing game as media in teaching grammar. The result of testing hypothesis determined that the Alternative Hypothesis (Ha) stating that there was significant effect of using grammar racing game toward student’s grammar score of Elementary School Education Teacher Program was accepted and Ho stating that there was no significant effect of using grammar racing toward student’s grammar score was rejected.

This study aims to identify, assess, and control risks that arise in container loading and unloading activities at PT Dunia Express Transindo using the Enterprise Risk Management (ERM) approach. Container loading and unloading activities are complex and involve various parties, making them highly susceptible to risks, both from internal and external aspects. Risks that can occur include system disruptions, operational negligence, equipment damage, and environmental factors such as extreme weather that can affect the smoothness of the loading and unloading process. Therefore, the company needs to have a structured, comprehensive, and sustainable risk management system to maintain operational continuity. This research method refers to the COSO framework and the ISO 31000:2018 standard which focuses on the process of risk identification, assessment of likelihood and impact levels, and formulation of appropriate mitigation strategies. Data were obtained through interviews with management, field observations, and analysis of company documents. The results of the study indicate that the implementation of ERM is able to map risks more systematically, making it easier for the company to determine handling priorities. Several risks with a high probability and significant impact received special attention through the implementation of mitigation strategies such as improving information technology systems, routine employee training, and more scheduled equipment maintenance. These findings indicate that ERM implementation not only functions as a risk control tool but also plays a role in increasing operational efficiency, strengthening inter-departmental coordination, and minimizing potential losses that could disrupt company stability. Furthermore, ERM implementation makes a real contribution to increasing the competitiveness of companies in the logistics and stevedoring sector, especially in facing dynamic business challenges and external environmental uncertainty.