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This study discusses the implementation of the CEISA 4.0 System (Customs Excise Information System and Automation) in managing Manifest Inward and Outward data at PT. Surya Samudera Indah under the supervision of the Batam Customs Office. The research is motivated by the need for efficiency and accuracy in customs processes in the era of digitalization. The purpose of this study is to analyze the effectiveness of CEISA 4.0 in supporting customs supervision and services, as well as to identify the challenges encountered during its implementation. The research employs a qualitative descriptive method with a case study approach through observation, interviews, and documentation. The findings show that the implementation of CEISA 4.0 has had a positive impact on the speed and accuracy of manifest data reporting, particularly in document validation and tracking processes. However, several technical barriers such as network disruptions and system errors, as well as non-technical obstacles including limited human resource competence and lack of coordination between the company and customs authorities, were identified. The implications of this research highlight the need for system optimization through technological infrastructure improvement and human resource capacity enhancement to ensure CEISA 4.0 functions more effectively in supporting the smooth flow of national and international logistics.  

This study discusses the delivery process of Full Container Load (FCL) from the Container Freight Station (CFS) to the Container Yard (CY) at MTKI Port (Masaji Tatanan Kontainer Indonesia) by the shipping agency (EMKL) PT. Elang Sriwijaya Palembang. This FCL delivery process is a critical stage in the shipping logistics chain as it ensures that containers fully loaded from the stacking warehouse can be placed in the port's stacking yard safely and in accordance with procedures. Shipping documents and administrative completeness are also vital components that must be fulfilled to ensure the container transfer process runs smoothly and complies with Port regulations. The purpose of this research is to identify the stages of the FCL delivery process, the parties involved, the obstacles faced during the container transfer process, and the solutions implemented to overcome them. The results show that the FCL delivery process involves several steps, starting from the issuance of shipping documents, administrative inspection, and coordination with port authorities, to the actual transfer of containers to the CY. Furthermore, obstacles were found in the form of administrative delays, limited loading and unloading equipment, and coordination issues between the EMKL and the port operator. This research is expected to serve as a reference for EMKL companies and related institutions in improving the effectiveness of the FCL delivery process, thereby supporting the smooth flow of goods at the port and enhancing the efficiency of Indonesia's maritime logistics activities. The methods used in preparing this paper are field research and library research methods.

This study examines the transformation of family structures among Syrian refugees in Gaziantep, Turkey, using a meta-synthesis of 47 studies published between 2015 and 2024. The research focuses on changes in relational, economic, and normative aspects due to prolonged displacement. The findings reveal significant shifts in family dynamics, with 73.8% of families redefining traditional gender roles and 64.2% of women becoming the primary breadwinners. The divorce rate increased by 42.6%, with 38.7% of cases linked to economic pressures. Logistic regression shows a strong correlation (r = 0.78, p < 0.001) between displacement duration and family structure transformation. The study supports Heger, Boyle, and Ali’s (2010) argument about the fluidity of gender roles in forced migration but challenges Buscher’s (2011) view on the persistence of patriarchal structures. Additionally, 82.3% of families adopted more egalitarian parenting, and children's participation in education rose to 67.4%, reducing the gender gap to 8.2%. The study also identifies adaptive strategies, such as the use of communal support systems by 58.6% of families and the integration of local cultural values by 45.2%, offering insights into resilience and adaptive capacity in prolonged crises.

Stock monitoring is a critical phase that must be performed regularly to maintain the accuracy and efficiency of inventory management. Continuous monitoring ensures that all items remain under proper oversight, thereby making stock management processes simpler, more controlled, and highly accurate. PT XYZ operates in the general contracting sector and provides a range of services, including land transportation, crude oil rental, heavy equipment and light vehicle rental, material supply, and well maintenance services. At present, stock monitoring at PT XYZ still relies on a general-purpose application designed solely for numerical calculations. This approach leads to several limitations in the current system, most notably the lack of a login feature and the requirement to recreate reports using a separate application. Based on these problems, this research aims to design a prototype of a stock monitoring information system at PT XYZ. The system is developed using the waterfall development model and documented using use case diagrams. The main output of this study is a prototype information system that allows users to change their own password, perform CRUD operations on data entities including users, items, categories, brands, units, vehicles, suppliers, incoming goods, and outgoing goods, generate various reports related to inventory/stock at PT XYZ.

Stunting remains a major public health problem in Indonesia, particularly in Aceh Province. Family smoking behavior and adherence to exclusive breastfeeding are considered important determinants of child nutritional status. This study aimed to analyze the relationship between family smoking behavior and exclusive breastfeeding adherence with stunting among toddlers in Tuha Village, Trienggadeng District, Pidie Jaya Regency. This study used a quantitative cross-sectional design with a sample of 46 toddlers selected using simple random sampling. Data were collected through structured questionnaires and analyzed using univariate and bivariate analysis with logistic regression tests. The results showed that family smoking behavior was significantly associated with stunting (p = 0.002; OR = 0.12; 95% CI: 0.03–0.47). Meanwhile, exclusive breastfeeding adherence was not significantly associated with stunting (p = 0.940; OR = 0.94; 95% CI: 0.17–5.09). These findings indicate that exposure to cigarette smoke in the household is an important risk factor affecting child nutritional status. Strengthening family-based interventions, especially smoke-free home initiatives, is essential to reduce stunting prevalence.

This study aims to analyze the role of the tally man at PT. Gelora Perkasa Belawan in supporting the effectiveness and smoothness of loading and unloading processes at Belawan Port. As the front line in cargo supervision, the tally man bears a crucial responsibility for recording the quantity, condition, and types of goods, which serve as the primary data for company reports. The research method employed is descriptive qualitative, with data collection techniques involving field observations, interviews with operational staff, and literature reviews conducted during the internship period. The findings indicate that while the tally man performs a vital function as a supervisor and data recorder, their performance is often hindered by high workloads and a limited number of personnel. The main obstacles identified include dual responsibilities, which lead to decreased data accuracy and risks of operational delays due to physical fatigue. Optimization efforts are carried out by increasing personnel during peak hours and improving accuracy in validating cargo documents. The study concludes that strengthening the tally man's role through better workload management is essential for ensuring logistical reliability and the efficient flow of goods at the port.

Hospitals often face difficulties in determining patient treatment priorities due to limited medical resources and the uncertainty of patient conditions. Conventional prioritization methods tend to rely on subjective judgment, which can lead to inconsistent decisions and delays in treatment. This study aims to apply fuzzy logic in a decision support system to determine patient priority levels more objectively and systematically. The proposed method utilizes a fuzzy inference system that processes several criteria, including the severity of symptoms, vital signs, patient age, and waiting time. These criteria are represented as fuzzy sets and evaluated using a set of inference rules to generate priority classifications. The results indicate that the fuzzy logic–based system is able to classify patient priorities more consistently and transparently compared to manual assessment. The system provides clear priority categories that can support medical staff in making faster and more accurate decisions. The findings imply that the implementation of fuzzy logic in hospital decision support systems can improve the quality of healthcare services, enhance fairness in patient handling, and optimize the allocation of medical resources, particularly in emergency and high-demand situations.

The increasing number of children with autism spectrum disorder in Indonesia presents new challenges for the inclusive education system, particularly in the development of social skills. This study aims to analyze the impact of floortime therapy on the development of social skills in children with autism at UPTD SMP Negeri 18 Depok City. The study employed a qualitative approach using a case study method, with data collected through observation, interviews, and documentation. The theoretical framework was based on the floortime implementation theory proposed by Greenspan and Wieder (2006) and the social skills theory by Rachmah (2018). The results indicate that floortime therapy has a positive impact on improving the social skills of children with autism, particularly in aspects of attention and engagement, two-way communication, sharing ideas and emotions, and logical thinking. The effectiveness of the therapy is further enhanced by the contribution of the surrounding environment, including family members, teachers, peers, and therapists, who play an important role in supporting the sustainability of the intervention. These findings emphasize that floortime therapy is not only effective as a therapeutic approach but also serves as a supportive strategy in improving the quality of inclusive education services for children with special needs.  

The determination of scholarship recipients is a very important process in supporting students’ educational success, particularly in providing fair opportunities for high-achieving students who require financial assistance. However, in practice, this process often faces various challenges, such as assessor subjectivity and uncertainty in evaluating the applied criteria. Therefore, a decision support system is needed to assist decision-making in an objective and measurable manner. This study aims to implement the Fuzzy Tsukamoto method as a decision support system for determining scholarship eligibility. The criteria used in this study include Grade Point Average (GPA) as an indicator of academic achievement and parents’ income as an indicator of students’ economic conditions. The Fuzzy Tsukamoto method was selected because it is capable of producing crisp output values based on predefined fuzzy rules. Student data were processed through several stages, namely fuzzification to transform input data into fuzzy values, inference using the minimum operator, and defuzzification using the weighted average method. The results of the study indicate that the application of the Fuzzy Tsukamoto method is able to generate more objective, consistent, and measurable decisions. Based on the calculation results, a scholarship eligibility score of 63.9 was obtained, which falls into the eligible category. Thus, the Fuzzy Tsukamoto method can be considered an effective alternative to support fair, systematic, and transparent decision-making in determining scholarship recipients.

In the rapidly evolving digital economy, the ability to anticipate transaction surges is a strategic asset for marketplace platforms to maintain operational efficiency. This research aims to build an accurate daily transaction volume forecasting system thru the implementation of an Extract, Transform, and Load (ETL) pipeline and Autoregressive Integrated Moving Average (ARIMA) predictive modeling. The dataset used is sourced from dataset_olshop.csv, which includes transaction history for the entire year of 2025. The ETL stage focused on data cleaning and handling missing values, while time series analysis began with the Augmented Dickey-Fuller (ADF) stationarity test, which yielded a significant p-value of 0.000006. The parameter model was optimized using the auto_arima algorithm, which determined the ARIMA(2,0,0) configuration as the best model. The evaluation results of the model show fairly stable performance with a Root Mean Squared Error (RMSE) value of 2.002 and a Mean Absolute Error (MAE) of 1.704 on the test data. Research findings reveal a consistently higher purchasing pattern during the mid-month and end-of-month periods, with an average of 5.52 daily transactions, compared to the beginning of the month, which saw 5.48 transactions. The 30-day forecast results provide valuable insights for online store managers to proactively adjust inventory and logistics workforce allocation strategies. This research concludes that integrating data engineering techniques and statistical analysis can provide predictive solutions for the dynamics of the digital market.

The assessment of students’ academic performance in higher education is generally still dominated by conventional numerical approaches, which are less capable of representing qualitative and subjective variables such as classroom activeness and student participation. These approaches often result in evaluations that are not holistic and do not fully reflect students’ overall academic achievements. Therefore, this study aims to analyze the concept of fuzzy logic as a support tool for assessing students’ academic performance in higher education, with a case study of students at Universitas Asahan. The research method employs a descriptive qualitative and quantitative approach by applying Mamdani fuzzy logic. The input variables consist of exam scores, assignment scores, and classroom activeness, while the system output is the category of academic performance, namely sufficient, good, and very good. The sample data consist of ten active undergraduate students from Universitas Asahan. The data processing stages include fuzzification, the construction of fuzzy rules (rule base), fuzzy inference, and defuzzification using the centroid method. The results indicate that fuzzy logic is able to integrate quantitative and qualitative variables and accommodate uncertainty in academic assessment. The resulting evaluation is more proportional and realistic compared to conventional assessment methods based solely on average scores. Therefore, fuzzy logic can be considered an effective and flexible alternative approach to support student academic performance assessment systems in higher education.

The third trimester of pregnancy is a challenging period since pregnant women experience various physical and psychological changes that can affect their readiness for childbirth. High anxiety levels and the presence of pregnancy complications are known to reduce maternal preparedness for labor. This study aims to determine the relationship between anxiety levels and pregnancy complications with the readiness of third trimester pregnant women in facing childbirth in the working area of Benteng Community Health Center, Selayar Islands Regency. This research used a quantitative approach with a correlational design and a cross-sectional method. The population consisted of all third trimester pregnant women, with a total sample of 86 respondents selected using purposive sampling. The research instruments included an anxiety questionnaire using the Hamilton Anxiety Rating Scale (HARS), a pregnancy complication checklist, and a childbirth readiness questionnaire. Data were analyzed using the Chi-Square test and multiple logistic regression at a significance level of α = 0.05. The results of the study showed no significant relationship between anxiety and readiness for childbirth (p < 0.550) or between pregnancy complications and readiness for childbirth (p < 0.690). Therefore, it can be concluded that anxiety and pregnancy complications are not significantly related to the readiness of pregnant women in the third trimester for childbirth. This indicates that maternal readiness is influenced by factors other than the variables studied, such as knowledge, family support, and previous childbirth experiences.

In the era of information and globalization, critical thinking skills have become an essential competence for children, including students in Islamic boarding schools. These skills include the ability to ask questions, seek and evaluate evidence, compare alternatives, and solve problems logically. Islamic boarding schools inherently provide a disciplined environment grounded in religious values that supports the development of critical thinking. However, observations at Raudlatul Hanan Islamic Boarding School reveal several challenges, such as low social sensitivity, limited constructive conflict resolution, and the absence of consistent critical thinking habits. These conditions have the potential to hinder students’ adaptability and problem-solving abilities in the future. To address these issues, a program entitled “Optimizing Children’s Critical Thinking Character through the Internalization of Socio-Environmental Sensitivity Values” was implemented using a Participatory Action Research (PAR) approach. This approach actively involved students, ustadz/ustadzah, and Islamic boarding school administrators from problem identification through planning, implementation, and reflection. The activities included character education seminars, critical discussions, group competitions, and interviews aimed at fostering social sensitivity, reducing exclusive attitudes, and strengthening critical thinking skills from an early age. The results indicate high and enthusiastic student participation throughout all activities, leading both students and administrators to hope that the program will be implemented sustainably on an annual basis.

The BIMP-EAGA Vision 2035 (BEV 2035) marks a significant paradigm shift in border management in Southeast Asia, with a primary focus on integrating a more inclusive, open, harmonized, and resilient system. In this context, sea-based border crossing posts (PLBN) in Indonesia, such as the Sebatik PLBN, the Serasan PLBN, and the Miangas and Marore Border Crossing Stations (BCS), play a strategic role as maritime connectivity nodes connecting Indonesia with neighboring countries. The transformation of these PLBNs faces several challenges, particularly related to the disharmony of CIQS (Customs, Immigration, Quarantine, and Security) regulations between countries, technical obstacles related to non-conventional vessels (NCSS), and inadequate port infrastructure. To overcome these obstacles, strategic measures are needed, such as revising cross-border trade agreements, increasing quarantine capacity and facilities, and strengthening maritime logistics networks between countries. Furthermore, the development of a sustainable blue economy in border areas is crucial to ensure that the PLBN functions not only as an administrative checkpoint but also as a key facilitator in driving economic growth based on maritime resources. Within the framework of the BIMP-EAGA Vision 2035, the Integrated Maritime PLBN is expected to reduce dependence on informal trade and improve the quality of life of border communities by accelerating connectivity, developing the maritime economic sector, and opening international market access for local products. Thus, the PLBN must transform into a catalyst for inclusive and environmentally friendly economic development in Indonesia's border regions.

Because it directly impacts revenue, customer loyalty, and long-term business sustainability, customer churn is a critical issue for the e-commerce industry. High churn rates indicate that a business is unable to retain existing customers, which means it is more expensive to acquire new customers. Therefore, a precise analytical approach is needed to identify customer behavior patterns that are likely to churn. Using machine learning methods, this study analyzes and predicts customer churn. For this study, the E-Commerce Customer Churn 2025 dataset, obtained from Kaggle, was used. This dataset consists of 10,000 customer data and contains fifteen variables covering transaction behavior, customer characteristics, and churn status. Data preprocessing, descriptive analysis, exploratory data analysis (EDA), and classification model development using Logistic Regression and Random Forest algorithms were part of the research project. Model evaluation was conducted using a Confusion Matrix and Receiver Operating Characteristic (ROC) Curve to evaluate the model's accuracy and ability to distinguish between churned and non-churned customers. The results showed that the Random Forest model performed better than Logistic Regression, with an ROC-AUC of 1.00. Furthermore, feature importance analysis revealed that the days_since_last_purchase variable was the most dominant factor in predicting customer churn. These findings are expected to help e-commerce companies design more effective, data-driven customer retention strategies.  

This study aims to analyze Paul as an educator through an epistemological and methodological examination of his letters, as well as an examination of his teaching style within the context of the early church. This research approach is qualitative theological, employing exegetical and hermeneutic analysis of New Testament texts, particularly Paul's letters. This analysis reveals that Paul's educational epistemology is rooted in his encounter with Christ as the source of all truth and spiritual knowledge. According to Paul, knowledge of faith is not the result of human rationality, but rather God's revelation, understood through the work of the Holy Spirit (1 Corinthians 2:10–13). Methodologically, Paul demonstrates a dialogical, argumentative, relational, and transformative teaching approach. He uses logical and communicative rhetoric to guide the congregation in a reflective understanding of the Gospel and emphasizes the importance of living examples as a means of learning faith (1 Corinthians 11:1). Paul also developed a Christocentric and communitarian teaching style, where the church is seen as a living, mutually edifying space for learning about faith, centered on the love of Christ (Colossians 1:28; Ephesians 4:11–16). The results of this study indicate that education, from Paul's perspective, aims for life transformation, not merely the transfer of knowledge. Paul views education as a process of discipleship that produces new life in Christ (Romans 12:2; Galatians 2:20). Thus, Paul's educational model provides theological and practical contributions to contemporary Christian education, placing Christ at the center of epistemology and love as the primary method of teaching.

This study examines the implications of the micro-shopping phenomenon and omnichannel integration for market structure and competitive dynamics in Indonesia’s retail sector from an industrial organization perspective. The transformation of modern retail is characterized by a shift toward small-value, high-frequency transactions alongside increasing integration between physical stores and digital channels. Employing a descriptive-analytical approach, this study utilizes secondary data on market shares and the number of retail outlets operated by major firms during the 2022–2024 period. Market structure is assessed through market share distribution, outlet ownership ratios, the four-firm concentration ratio (CR4), and the Herfindahl–Hirschman Index (HHI). The results indicate that Indonesia’s retail market exhibits a highly concentrated, network-based oligopolistic structure. The dominance of large retail firms is reflected not only in their substantial market shares but also in their dense outlet networks, which enable the aggregation of dispersed micro-shopping transactions. Furthermore, omnichannel integration reinforces these structural advantages by enhancing logistical coordination and distribution efficiency. Overall, the findings suggest an increasing tendency toward market consolidation and a declining competitive space for small and traditional retailers, highlighting important implications for competition policy and the long-term sustainability of retail market structure.

The process of determining eligibility for social assistance recipients is often constrained by subjective assessments and uncertainty in decision-making criteria. This condition can lead to inaccurate targeting and unfair distribution of aid. Therefore, an appropriate decision support method is required to handle data uncertainty effectively. This study aims to apply the Fuzzy Mamdani method to determine the eligibility of social assistance recipients based on several assessment criteria. The criteria used in this study include monthly income, number of dependents, and housing conditions. The research method consists of data collection, fuzzification, formulation of fuzzy rules, inference using the Mamdani approach, and defuzzification to obtain a crisp output value. The results show that the Fuzzy Mamdani method is able to classify recipients into eligible and non-eligible categories more flexibly compared to conventional methods. The generated eligibility values reflect real conditions more accurately by considering degrees of membership for each criterion. The implementation of this method can assist decision-makers in improving the accuracy, objectivity, and fairness of social assistance distribution. This research is expected to contribute to the development of intelligent decision support systems in the social welfare sector.

This community service activity was carried out to overcome the problem of open and uncontrolled internet networks at SMK Islamiyah Serua. This condition poses security risks as well as inefficient bandwidth usage. The solution offered is the implementation of a network gateway system with a user-friendly web-based login portal, so that internet access can be limited only to educators through an authentication mechanism. The implementation method includes needs analysis, system design, implementation using MikroTik RouterOS and HTML/CSS/JavaScript-based web portals, system trials, and socialization to schools. The results showed a significant improvement in network security, bandwidth usage efficiency, and ease of access for teachers. In addition, this activity also increases educators' understanding of the importance of network security in supporting the learning process. The implementation of this system provides sustainable benefits for schools, both from a technical and educational perspective, because it is able to create a safer and more controlled digital environment. Thus, this community service activity not only solves technical problems, but also contributes to improving the quality of educational services at SMK Islamiyah Serua.

This study examines the role of the General Affairs (GA) Division in ensuring the effectiveness of administrative processes and facility management at PT. Panorama Indah Permai (Saloka Theme Park). The research was conducted during an internship program from September to December 2025, during which the researcher was directly involved in daily operational activities. Using a descriptive qualitative method, data were obtained through direct observation, administrative document analysis, and informal interviews with GA personnel. The results show that the GA Division functions as a critical support unit responsible for logistics management, documentation control, meeting room preparation, and operational vehicle administration. Several challenges were identified, including inconsistencies in documentation, high workload during peak operations, and limited digital integration. Despite these challenges, the GA Division plays a central role in coordinating with other departments to maintain workflow continuity. This study reinforces the relevance of operations management, office administration, facility management, and organizational communication theories in practical workplace settings. The findings imply that improving digital administrative systems, enhancing coordination mechanisms, and standardizing procedures could significantly strengthen GA performance and overall organizational efficiency.