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Mathematics learning in Elementary School is very important to form logical, systematic, and critical thinking skills. Mathematics learning is closely related to numeracy literacy. At the elementary school level, especially grade 1, literacy and numeracy problems are increasingly visible when students are faced with mathematical story problems. In grade 1 of SDN 1 Pedawang, the results of daily tests and end-of-semester tests show that students' ability to solve story problems is still low. This study aims to analyze the difficulties of grade 1 students at SDN 1 Pedawang in understanding mathematical story problems due to low literacy and numeracy skills. This study uses a qualitative descriptive research type. The population of grade 1 students at SDN 1 Pedawang is 14 students, consisting of 9 female students and 5 male students. The subjects used were 2 students to be analyzed using purposive sampling techniques because they showed striking difficulties in understanding story problems based on observation results and low test scores. Data collection techniques through observation, interviews, and documentation. Data analysis techniques using the Miles and Huberman model which includes data reduction, data presentation, and drawing conclusions. The results of the study showed that students had difficulty in understanding mathematical story problems on five indicators according to Newman's theory, namely reading, understanding, transformation, process skills, and writing answers. The conclusion of this study shows that low literacy and numeracy of students are the main factors in the difficulty of understanding mathematical story problems.

The policy of mandatory relocation in post-disaster areas, particularly in Cianjur's red zones, plays a crucial role in mitigating risks associated with earthquakes and other natural disasters. This study analyzes the implementation of this policy from the perspective of local government tasks and functions, focusing on the coordination of various stakeholders, legal frameworks, and community involvement. The research uses a qualitative approach, combining legal-normative and sociological perspectives to explore the challenges and conflicts faced during the relocation process. Findings indicate that while the policy has been crucial in safeguarding public safety, its implementation has faced significant challenges such as budget constraints, community resistance, and logistical issues. The study highlights the importance of improving collaboration among local authorities, security agencies, and affected communities. The findings also suggest the need for a more transparent and inclusive approach to policy implementation, ensuring the protection of displaced populations' rights.

The insurance penetration rate in Indonesia remains relatively low, despite the important roles of both conventional and sharia insurance in mitigating unexpected financial risks. As a Muslim-majority country, consumer preferences for insurance models aligned with personal values represent a crucial concern, yet are still rarely explored using actual behavioral data. This study aims to examine the influence of Google search trends on consumer preferences in choosing between sharia and conventional insurance in Indonesia. The research applies binary logistic regression using a combination of primary data (questionnaire) and secondary data (Google Trends). Respondents were purposively selected based on stable economic status and prior experience in searching for insurance information. The results reveal that search trends significantly influence preferences for sharia insurance, but not for conventional insurance. Furthermore, religiosity and its interaction with search trends also significantly affect preferences for both insurance models. These findings contribute to big data-based consumer research and offer strategic implications for academics, industry stakeholders, and regulators in enhancing insurance literacy and participation in Indonesia..  

This study aims to analyze the role of cash flow and financial ratios in predicting financial distress in manufacturing companies listed on the Indonesia Stock Exchange for the period 2021–2023. The independent variables include cash flow, profitability, liquidity, leverage, and activity ratios, while financial distress serves as the dependent variable. This research employs logistic regression analysis with purposive sampling, resulting in a sample of 100 companies with a total of 300 observations. The findings reveal that liquidity and activity ratios have a significant negative effect on financial distress, while solvency has a significant positive impact. However, cash flow and profitability do not significantly influence financial distress. These findings highlight the importance of liquidity management and asset efficiency in reducing financial distress risk, while also indicating that high debt burdens increase the likelihood of financial distress. The study’s implications provide valuable insights for management and investors in making strategic financial decisions

Blepharitis or inflammation of the eyelids is one of the common eye diseases, characterized by inflammation of the edges of the eyelids that can cause discomfort, irritation, and even visual disturbances. This disease can be chronic with recurrent symptoms such as red eyes, itching, watering, and the appearance of crust on the eyelashes. Proper and prompt diagnosis is necessary so that medical treatment can be carried out effectively and further complications can be prevented. This study aims to design and build an expert system based on the Fuzzy Logic method in helping diagnose blepharitis. The fuzzy method was chosen because it is able to handle the uncertainty of symptom data that often arises in the medical diagnosis process. This system is developed through the identification of the common symptoms of blepharitis, then processed using the fuzzy membership function to determine the type of disease based on the degree of symptom onset. The output of the system is in the form of the results of the diagnosis of blepharitis along with initial treatment recommendations that can be used as a reference for users. The results of the system test show that the application of fuzzy logic is able to provide diagnosis results that are quite accurate, fast, and easy to understand both medical personnel and the general public. This system is expected to help increase public awareness about the importance of early detection of blepharitis, as well as being a tool in the initial medical decision-making process. However, the limitations of this study lie in the limited amount of data and coverage of the type of blepharitis, so further development is needed, both in expanding the knowledge base, increasing the variety of symptoms, and improving system interaction with users.

The era of technological disruption, driven by the economic logic of "surveillance capitalism," has created a fragmenting digital architecture. The "filter bubble" or "echo chambers" mechanism algorithmically isolates individuals, exacerbated by a psychological condition of being "alone together" wherein individuals actively engage in a "flight from conversation." This convergence of algorithmic and psychological isolation has fueled an "age of outrage" and extreme social polarization. This crisis is fundamentally theological, as it reduces the dignity of the Imago Dei (image of God) to mere exploitable computational data. This research employs a qualitative library study method with a critical-analytical approach to analyze this phenomenon and propose a reconstruction of Christian leadership theology. This article argues that Christian leaders must develop a new theological competency termed "Digital Wisdom." This wisdom is rooted in a holistic theology that resists dualistic fragmentation. This reconstruction is embodied in the leader's role as spiritual (placing the Word of God as authority over algorithms), educational (building digital ethics and combating disinformation), integrity-based (rejecting partisan outrage), and humanistic (reaffirming the primacy of physical encounter and authentic relationship).

The church's diaconal practice faces a crisis of effectiveness. The dominant model of charitable diakonia (almsgiving) has proven ineffective in addressing the root causes of poverty and structural injustice. Empirical studies show that this failure is often not due to a lack of resources, but rather a failure of strategic management and a narrow theological understanding of diaconal practice itself. This research argues that to respond to poverty effectively, the church requires a dual paradigmatic shift. First, a theological shift in service from charitable diakonia to transformative diakonia, grounded in Liberation Theology and Reformed social justice spirituality. Second, a conceptual shift in "management" from a secular concept to the theological practice of "Transformative Oikonomia", a prophetic stewardship rooted in scripture (Acts 6) and ecumenical frameworks (WCC). Using a qualitative literature review methodology, the author reconstructs a management model for effective and just ministry. In this model, "effectiveness" is redefined and measured not by logistical outputs, but by two theological pillars: (1) Relational Effectiveness, measured by the Theology of Hospitality (Pohl), focusing on the restoration of human dignity; and (2) Structural Effectiveness, measured by tangible contributions to the JPIC (Justice, Peace, and Integrity of Creation) agenda. This study concludes that the Transformative Oikonomia model liberates the church from the "charity trap" and enables a holistic fulfillment of the Missio Dei.

This article examines the role of the Formed Police Unit (FPU) in the perspective of international humanitarian law and international human rights law, particularly in the context of civilian protection in conflict areas. The FPU is an armed police unit deployed in UN peacekeeping missions with a mandate to protect civilians, maintain order, and support post-conflict recovery. Despite its strategic role, the FPU faces legal, operational and socio-cultural challenges. This study uses a normative-juridical approach by analyzing international legal documents, UN operational standards, and academic literature. It is emphasized that the effectiveness of the FPU is highly dependent on human rights-based training, clarity of mandate, logistical readiness, and the ability to build trust with local communities. This article recommends strengthening accountability mechanisms and cross-sector integration in peace missions, so that the FPU is able to carry out its protection mandate substantially and in accordance with applicable international legal principles.

Background: Stunting is a chronic nutritional disorderl in toddlers that is permanent and irreparable (irreversible) if it occurs during the First 1000 Days of Life (HPK). One significant risk factor is birth spacing that is too close, which affects the mother's nutritional status and the quality of fetal nutrient intake. Objective: This study aimed to analyze the relationship between birth spacing and the incidence of stunting among toddlers on Morotai Island. Methods: An analytical study with a cross-sectional design was conducted on 30 respondents selected through accidental sampling in the Community Health Center (Puskesmas) area of Morotai. Data were collected through questionnaires, MCH (Maternal and Child Health) books, and anthropometric measurements, then analyzed using Simple Logistic Regression test. Results: The majority of respondents had a birth spacing of 3-4 years (40%), but the prevalence of stunting remained quite high at 43.3%. The statistical test results showed a p-value = 0.005 (p < 0.05), proving a significant relationship between birth spacing and the incidence of stunting. Conclusion: There is a significant relationship between pregnancy/birth spacing and the incidence of stunting among toddlers on Morotai Island.

The rapid increase in Ro-Ro (Roll-On/Roll-Off) vessel and vehicle traffic at Tanjung Perak Port, Surabaya, has exposed critical inefficiencies in port operations, particularly at key berths such as Jamrud Utara and Jamrud Selatan. These inefficiencies manifest as prolonged queuing times for Ro-Ro vessels and land-based vehicle congestion, leading to delays in cargo handling and increased operational costs. This study aims to evaluate the operational performance of Ro-Ro terminals based on queue time indicators for both Ro-Ro vessels and vehicles. Employing a quantitative descriptive approach, the research integrates the M/M/c queuing model and Fishbone Diagram analysis to identify systemic causes of operational delays and overcapacity. The study reveals that berth utilization rates exceed 75%, indicating saturation, while limited buffer zones and disorganized traffic flow exacerbate vehicle queues. As a case study, the findings offer data-driven insights and practical recommendations, including schedule optimization, dedicated traffic lanes, and infrastructural upgrades to mitigate congestion. The proposed framework not only enhances service efficiency at the port but also contributes to broader logistics performance in Eastern Indonesia. By combining classical queuing theory with root cause analysis, this research introduces a methodological synergy that can be replicated across other Ro-Ro terminals facing similar challenges. The findings underscore the urgent need for integrated port traffic management and infrastructural adaptability in response to growing maritime logistics demands.

Late payment of accounts receivable is a serious challenge that can disrupt the stability of the company's cash flow and financial performance. This study aims to evaluate the role of risk management in minimizing late payment of accounts receivable at PT Alam Mulya, a logistics company in Surabaya. The research method used is descriptive qualitative with a case study approach, through direct observation, interviews, and documentation during the five-month internship period. The results showed that the company has implemented risk management principles, such as customer identification, setting credit limits, monitoring maturity, and implementing active collection. However, the implementation has not been thorough and consistent, especially in the aspects of using digital systems, documenting credit policies, and applying sanctions for late payments. It was also found that decision interventions based on personal relationships hindered the effectiveness of risk control. This study recommends the implementation of an integrated digital system, the establishment of a written credit policy, and staff training related to risk management and collection. By strengthening comprehensive risk management, the company is expected to improve the efficiency of receivables management and maintain optimal cash flow sustainability.

This research aims to examine and describe the implementation of a digital-based Cost of Revenue recording system at PT Alam Mulya as a logistics service company. Amid the rapid development of information technology, digital-based financial recording systems have become a strategic solution for enhancing efficiency, accuracy, and transparency in financial reporting. This study employs a qualitative descriptive approach, utilizing data collection techniques through literature review, direct observation, and interviews with parties involved in the company's financial recording process. The research findings indicate that the use of the Shortcut-AM application can accelerate the real-time recording of direct costs, reduce the risk of recording errors, and facilitate internal monitoring and audits. However, the effectiveness of the system still faces several challenges, such as delays in collecting supporting documents, account classification errors, and discrepancies between account mutation data and internal records. These challenges highlight the importance of cross-divisional coordination, ongoing technical training, and strengthening internal controls to ensure the system operates optimally. Thus, the digital-based recording system not only enhances operational efficiency but also serves as an essential foundation for maintaining the integrity and accountability of the company's financial reports.

Efficient resource allocation is a major challenge in various sectors, especially when faced with limitations in quantity, time, and cost. This study aims to examine the application of linear programming as an optimization method in solving assignment problems, where a number of resources must be optimally allocated to a number of specific tasks. Through a literature study approach, this study examines various relevant previous study results, especially in the Indonesian context. The results of the study indicate that linear programming is able to improve operational efficiency, reduce costs, and produce a more balanced task distribution. However, this model has limitations in dealing with non-linear conditions and data uncertainty, so integration with other methods such as fuzzy logic or genetic algorithms is needed. This study is expected to broaden the understanding of the benefits of linear programming and encourage its wider application in quantitative-based decision making.

This study examines the persuasive strategies used by Anies Baswedan in his TEDx speech titled “Governments, Make Public Transport Equitable.” As the Governor of Jakarta, Baswedan delivered the speech on a global platform to advocate for equitable, inclusive, and sustainable public transportation. The research focuses on how he employs Aristotle’s classical rhetorical appeals, namely ethos to establish credibility, pathos to create emotional connection, and logos to present logical reasoning, in order to engage and persuade his audience. Using qualitative rhetorical analysis, the study explores how these appeals are combined and positioned throughout the speech. The official transcript was carefully analyzed to identify statements that reflect each persuasive strategy. The findings show that logos is the most dominant appeal, as Baswedan presents data, measurable goals, and clear policy outcomes. Ethos is conveyed through his position, achievements, and inclusive vision, while pathos emerges in moments where he highlights social justice, the urgency of addressing climate change, and the unifying power of public transport. This research shows that rhetorical appeals in political speeches like Baswedan’s are not applied in a strict sequence but are interwoven to strengthen the overall persuasive impact. The study offers insight into how classical rhetorical strategies are applied in modern communication platforms such as TEDx.

The objective of this research is to assess the use of discovery learning techniques in enhancing students' engagement and critical thinking abilities in Pancasila and Citizenship Education courses. Discovery learning is a teaching method that encourages students to learn on their own by observing, exploring, and verifying what they learn. The study's findings suggest that the implementation of discovery learning may enhance students' engagement in debates, facilitate inquiry, and encourage the expression of viewpoints. Also, students' critical thinking abilities became better because they could examine material, come to conclusions, and solve issues in a logical way. However, there were several problems with its use, such as not having enough time, students being at different levels of preparation, and problems with managing the classroom. With careful preparation, good time management, and a lot of help for students, these problems may be solved. The discovery learning technique has been shown to be beneficial in enhancing the quality of learning. It is also particularly useful for helping students become active, critical thinkers who can solve issues on their own.

This study aims to describe the implementation of the Focus Group Discussion (FGD) method in Islamic Religious Education (PAI) learning and its impact on improving critical thinking skills of grade VIII students at SMP Entrepreneur Ar-Ridwan Gunung Tawang Selomerto Wonosobo. The background of this study is based on the needs of 21st century learning that requires students to have critical, collaborative, and communicative thinking skills. This study uses a qualitative approach with a descriptive research type. Data collection techniques are carried out through observation, in-depth interviews, and documentation. Data analysis uses data reduction techniques, data presentation, and drawing conclusions. The results of the study indicate that the FGD method has been implemented systematically in PAI learning through the formation of small discussion groups, trigger questions, and presentation of discussion results. The teacher acts as an active facilitator who encourages student participation evenly. The positive impacts of the implementation of FGD include increased active student participation, the ability to convey arguments logically, and the growth of reflective and critical attitudes. However, the implementation of FGD also faces several obstacles such as time constraints, differences in communication skills, and the unequal distribution of student confidence in open discussions. These obstacles are overcome through classroom management strategies such as role rotation, providing discussion training, and habituating a culture of dialogue. Thus, the FGD method has proven effective in improving students' critical thinking skills and forming a collaborative and participatory learning culture.

The distribution of sugarcane from farmers to sugar mills in Indonesia continues to face various challenges, particularly in terms of logistical efficiency and farmers’ dependency on intermediaries. This study aims to analyze the role of intermediaries in determining the efficiency of sugarcane distribution, using a case study in Kedungmakam Village, Tuban Regency. A qualitative approach with a case study design was employed, enabling an in-depth understanding of distribution practices directly in the field. Data were collected through field observations, in-depth interviews with farmers, intermediaries, and retail traders, as well as supporting documentation. The results indicate that intermediaries play a crucial role in providing production capital, scheduling harvests, and managing transportation of sugarcane to the mills. However, their dominance, in the absence of formal contracts, creates relationship imbalances and weakens the bargaining position of farmers. Furthermore, geographical barriers, limited access to market information, and the lack of independent distribution infrastructure exacerbate inefficiencies and reduce fairness in the existing distribution system. Therefore, strengthening farmer institutions, improving contract transparency, and enhancing access to logistics and information are recommended as long-term solutions.

The purpose of this research is to analyze the effect of financial ratios on financial distress in Islamic Commercial Banks in Indonesia. This study uses determinants financial distress that isDebt Ratio (DR), Financing to Deposit Ratio (FDR), Non Performing Financing (NPF), Return On Equity (ROE), and Operating Expenses Operating Income (BOPO). The population of this study is all Islamic Commercial Banks in Indonesia. The sample taken is the quarterly financial reports of Islamic commercial banks for 9 periods, namely the 2016-2024 period using the purposive sampling and using panel data binary logistic regression testing techniques. Based on the research conducted, the results show that Debt Ratio (DR), Non Performing Financing (NPF), Return On Equity (ROE), and Operational Expenses Operating Income (BOPO) have an effect on financial distress. Whereas Financing to Deposit Ratio (FDR) has no effect on financial distress.

Waste management problems in Kudus City show high complexity, marked by an increase in the volume of daily waste generation that is not balanced by an adequate handling system. This study aims to optimize the waste management system in an integrated manner with an industrial engineering approach, especially through the application of the Lean Waste Management concept, redesigning facilities and logistics, and strengthening community participation based on Human-Centered Design (HCD). A qualitative method with a case study approach was used, with data triangulation techniques in the form of in-depth interviews, direct observation, and document analysis. The results of the study showed that 75% of households did not sort their waste, only 2 out of 6 TPSTs were active, and the TPA capacity had exceeded its limit since 2022. The efficiency of the transportation system is also low due to suboptimal routes and frequencies. This study offers solutions based on technology integration, facility redesign, logistics optimization, and community empowerment. With a systemic approach based on industrial engineering, an efficient and sustainable waste management model can be applied, not only in Kudus, but also in other areas with similar challenges.

Manual transaction and stock recording at Ubay Galon causes various issues, such as data loss, record inaccuracies, and lack of real-time access. This study aims to design and develop a web-based sales information system to improve operational efficiency and data accuracy. The research was conducted at Ubay Galon, South Tangerang, using the Waterfall development method. Data collection techniques include observation, interviews, and literature studies. The system was designed using UML and implemented with web technologies. The result is a sales information system that records transactions, manages inventory, and generates automatic and real-time reports. The system also enhances data security with login and automatic backup features. In conclusion, the system effectively supports the digital transformation of Ubay Galon's business processes.