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This community service program was carried out to strengthen the ability of lecturers, students, and practitioners in understanding the role of data and statistics as the foundation for constructing scientific arguments in quantitative research. The activity originated from the limited understanding of some participants regarding the correct logical flow of research, starting from problem formulation, hypothesis development, data processing, to drawing conclusions based on analytical results. Through case-based training and interactive discussions, participants were introduced to key concepts in research methodology, such as determining variables, sampling techniques, developing measurement instruments, and applying parametric and non-parametric statistics to test hypotheses. The training emphasized that data provide factual descriptions of a phenomenon, while statistics serve as analytical tools that answer research questions objectively. The activity was conducted online with 73 participants from Universitas Pancasakti Bekasi, representing various academic backgrounds. The results indicated an improvement in participants' ability to understand statistical outputs, interpret significance levels of tests, and prepare research conclusions in a logical and structured manner. In addition, the activity contributed to enhancing methodological literacy within the academic community, encouraging a strong research culture, and maximizing the use of statistics in scientific analysis as well as professional practice. Therefore, this program has a positive impact on improving the quality of research in higher education.

At the company PT. PLN (Persero) ULTG Madiun carried out many tests relay, one of which is intertrip testing relay distance. Intertrip testing relay distance is a test carried out between 2 (two) relay distance conducting bays in main substations that face each other. Intertrip testing relay distance must be done if replacement occursrelay, replacement of teleprotection equipment, changes to protection schemes, and changes to logic circuitsrelay which is related to the send or receive signal from the opposite substation. However, this test requires synchronization between two intertrip test tools relay distance at each substation. In this final project, it will be designed Time Syncronization As A Tool For Intertrip Relay Distance Testing, to make things easier for PT employees. PLN (Persero) ULTG Madiun when synchronizing two intertrip test equipment relay distance. All process control of this tool uses ESP32 Devkit V1. Meanwhile for displaying setting time for testing can be seen on the web assisted by GPS NEO-6M. The results obtained when testing the Dolopo by Ponorogo R and S phase distance intertrip relay were carried out at 12.00.00, experiencing a delay time of 0.0553 seconds when the PMT tripped. Meanwhile, the Dolopo by Ponorogo T phase distance intertrip relay test was carried out on 12.09.00 and experienced a delay of 0.0529 seconds when the PMT tripped. From two intertrip relay distance tests, the trip time delay is no more than 0.1 second.

This research investigates the application of the Economic Order Quantity (EOQ) method to improve drug inventory management in a primary hospital pharmacy, with a particular focus on reducing storage costs. A descriptive quantitative approach was applied using secondary data from January to December 2024, covering annual demand, purchase price, ordering cost, and holding cost. The analysis concentrated on fast-moving vital essential and moderate vital drugs that are critical for sustaining patient treatment. The study revealed inefficiencies in the hospital's procurement practices, with some medicines simultaneously facing overstock and stockout risks, indicating weak planning. EOQ calculations provided alternative procurement quantities that were smaller but more frequent, resulting in lower storage costs and better stock control. Simulation outcomes demonstrated notable cost savings, particularly for Flamicort, Diazepam, and Ventolin. These findings emphasize the value of integrating EOQ into hospital pharmaceutical logistics to reduce financial losses, strengthen supply chain efficiency, and ensure the continuous availability of essential medicines in primary hospital settings.

Content commodification has become a dominant phenomenon within Indonesia’s digital ecosystem, where communication messages are no longer oriented toward use value such as education and enlightenment, but toward exchange value determined by algorithms, virality, and monetization potential. This transformation is evident in the behavior of content creators, online media, politicians, and government institutions that adjust their message formats to align with the logic of platforms such as TikTok, Instagram, and YouTube. Political content during the 2024 Election, clickbait practices in online journalism, and the aestheticization of public campaigns such as Bangga Buatan Indonesia(BBI) and Gerakan Kamis Pakai Lokal (GASPOL) demonstrate that content today is produced primarily to capture attention rather than to strengthen social literacy. Using a constructivist paradigm and a descriptive qualitative approach, this study analyzes how exchange value dominates meaning-making processes in digital spaces. Through the lenses of media political economy, cultural industries, and surveillance capitalism, the study shows that content commodification shifts the function of communication from a deliberative public sphere to a commercial arena governed by algorithms. These findings highlight the urgent need for digital literacy and communication ethics to safeguard the social role of media in Indonesia.

This paper analyzes the relevance of the Frankfurt School’s Critical Theory in shaping public policy in Indonesia’s trade sector, particularly in the context of implementing Law Number 7 of 2014 on Trade. Using key concepts of Critical Theory—such as alienation, reification, instrumental rationality, and emancipation—this study evaluates how the structure of modern political economy can generate social inequality, the marginalization of small business actors, and the dominance of market-driven logic in national trade practices. A thematic analysis approach based on a literature review is employed to examine relevant scholarly works, including theories from Adorno, Horkheimer, Habermas, and contemporary critical theorists. The findings indicate that trade policies tend to be technocratic, efficiency-oriented, and insufficiently reflective of economic democracy, social justice, and empowerment principles for grassroots economic actors as mandated by the constitution. Such conditions reproduce structural injustices, particularly for MSMEs, which are often marginalized within a competitive trade system dominated by large capital. Therefore, more inclusive, participatory policy designs that are sensitive to structural inequalities are urgently needed. This study concludes that Critical Theory serves as a robust conceptual framework for analyzing power relations within the trade sector while also offering a transformative direction for policy development. Strengthening deliberative public spheres, enhancing MSME protection, and transforming power relations are essential steps toward achieving trade policies that are fairer, more humanistic, and emancipatory.

The purpose of this scientific paper is to design and implement a knowledge-based expert system to assist students in determining their major specializations at Vocational High Schools (SMK) more objectively and accurately. A major problem frequently faced by SMK students is the mismatch in department selection caused by a lack of understanding regarding their own potential and the specific criteria of each competency. To address this issue, the system was developed using the Forward Chaining method as the inference engine. This method operates in a data-driven manner, beginning with the collection of facts such as interests, academic abilities, and psychological aspects, which are then matched against a Knowledge Base consisting of IF-THEN logical rules. Based on system testing results, the inference engine is capable of processing the list of facts to generate a specialization diagnosis for SMK students and provide the most relevant departmental recommendations, such as Computer and Network Engineering (TKJ), Accounting, Office Automation and Governance (OTKP), or Marketing. The research results indicate that the implementation of the Forward Chaining method is effective in accelerating the decision-making process and minimizing placement errors. This expert system is expected to serve as a tool for Guidance and Counseling (BK) teachers in providing appropriate career direction for students based on structured empirical data.

Accurate wind turbine power curve modeling plays a crucial role in performance evaluation, energy yield estimation, and data-driven control strategies. However, actual power curves often exhibit non-linear behavior influenced by atmospheric variability, measurement noise, and SCADA anomalies, making conventional modeling approaches less effective. This study proposes an optimized logistic power curve model whose parameters are tuned using Particle Swarm Optimization (PSO) to improve predictive accuracy. The analysis uses the Wind Turbine SCADA Dataset from Kaggle, which undergoes extensive preprocessing including physical rule filtering, outlier detection with the Interquartile Range (IQR) method, anomaly removal, and smoothing of the power signal. A three-parameter logistic model is selected due to its ability to capture the typical S-shaped relationship between wind speed and power output. PSO is applied to identify optimal model parameters by minimizing the Mean Squared Error (MSE), utilizing 40 particles over 200 iterations. The optimized model achieves strong predictive performance with RMSE of 404.09, MAE of 179.96, and R² of 0.904 on the test set, indicating that more than 90% of the variability in actual power can be explained by wind speed. Residual analysis reveals heteroscedastic patterns and slight overestimation in mid-range wind speeds, yet overall model consistency remains high. Comparative evaluation against Linear Regression, Random Forest, and logistic modeling using curve_fit shows that the Logistic–PSO approach provides the most accurate and stable predictions. These findings demonstrate that combining logistic modeling with PSO offers an effective and robust method for data-driven wind turbine power curve optimization.

The main objective of this study is to examine whether agreements reached in electronic transactions through online shopping platforms comply with the fundamental principles of contract law. The principles tested include the principle of freedom of contract, the principle of consensualism, the principle of pacta sunt servanda, and the principle of good faith. In addition, this study also aims to understand the legal protection framework for consumers in the context of digital transactions. The methodology applied in this study is normative law, using an approach that focuses on legislation and a conceptual approach. The legal material used consists of primary, secondary, and tertiary legal materials. The collection of legal material was carried out through a literature study, which was then analyzed using deductive logic.Based on the results of the research and data analysis, it was concluded that agreements formed in electronic transactions through online shopping sites have fulfilled the principles of freedom of contract, consensualism, pacta sunt servanda, and good faith. Legal protection for consumers in e-commerce transactions has been adequately provided through the regulation of Law Number 11 of 2008 concerning Electronic Information and Transactions and Law Number 8 of 1999 concerning Consumer Protection.

This research seeks to examine adaptive and sustainable internal governance approaches to enhance the operations of the Household Division within the General Bureau at the East Java Province Regional Secretariat. The study concentrates on four main elements: the integration and compatibility of SIM-BMD with financial systems and LPSE, technology-driven centralized logistics frameworks, the execution of asset lifecycle SOPs involving preventive maintenance and quick transfer methods, and the enhancement of human resource capabilities through targeted training and the creation of digital leaders. Employing a qualitative descriptive approach within a case study framework, information was gathered via detailed interviews, participatory observation, and analysis of institutional documents. The results indicate that integrating systems improves transparency, efficiency in reporting, and accountability in asset management. The centralized logistics approach paired with intelligent warehouse techniques greatly enhances distribution efficiency and decreases operational expenses. Additionally, proactive asset lifecycle management reduces the chances of asset deterioration and prolongs its useful life. Nonetheless, inconsistent digital skills among staff continue to pose a significant obstacle, necessitating ongoing training initiatives and guidance. The research suggests promoting a data-centric work environment, inclusive digital advancements, and collaboration among departments to establish a professional, effective, and sustainable internal governance framework consistent with the tenets of good governance and smart government

Logical thinking is a fundamental competency for prospective teachers, as it supports systematic reasoning and professional decision-making. This study aimed to analyze the relationship between academic communication and emotional regulation with the logical thinking skills of students at the Faculty of Teacher Training and Education, Satya Wiyata Mandala University, Nabire, Central Papua. A quantitative correlational design was employed with 100 students selected through proportional random sampling. Data were collected using an academic communication questionnaire, an emotional regulation scale, and a logical reasoning test, and analyzed through Pearson correlation and multiple regression. The findings indicate that both academic communication and emotional regulation have positive and significant relationships with logical thinking skills, both partially and simultaneously. These results emphasize that logical thinking development in higher education requires the integration of cognitive, interpersonal, and emotional competencies.

Production quantity planning is a crucial component in the bottled water industry (AMDK) to ensure that consumer demand is met efficiently. Inaccuracies in determining the amount of production can lead to overproduction and supply shortages, which ultimately leads to increased operational costs and decreased customer satisfaction. This study applies the Sugeno fuzzy logic method to predict the amount of production based on two main variables, namely weekly demand and raw material stock. The analysis stages include the fuzzification process, the preparation of the rule base, inference using the zero-order Sugeno method, and defuzzification using the Weighted Average (WA) method. The data used is synthetic data that represents the operational conditions of the medium-scale bottled water industry. The results show that the Sugeno fuzzy system is able to produce production predictions that are adaptive and responsive to fluctuations in demand and stock availability. This model provides consistent and stable output, so it can help companies in determining the optimal production amount. These findings confirm that Sugino's fuzzy approach can be an effective decision support tool in bottled water production management, especially in the face of uncertainty and variability in market demand.

This study aims to analyze the information technology (IT) infrastructure of PT RedEx using SWOT and McFarlan Strategic Grid methods to evaluate internal and external factors affecting IT performance and its strategic positioning. The SWOT analysis identifies strengths, weaknesses, opportunities, and threats, while the McFarlan Grid maps IT systems into four quadrants: Strategic, High Potential, Key Operational, and Support. Data were collected through observation, interviews, and documentation. The results show that PT RedEx’s IT infrastructure supports operational activities but lacks real-time integration across branches. Based on the McFarlan analysis, most systems are in the Key Operational and Support quadrants, indicating a focus on daily operations rather than strategic innovation. Recommendations include system integration through cloud computing, digital transformation, and IT human resource development. The study provides insights into strategic IT planning for logistics companies in the digital era.

This research is aimed at examining the operational strategies carried out by PT. Samudera Sarana Karunia Dumai in ensuring the smooth operation of the Mt. Meghna Trader ship at Pelindo Dumai Port. The main focus of the research is directed at the identification and assessment of the effectiveness of operational strategies which include the planning, implementation, and control stages of various activities such as loading and unloading, logistics, coordination with relevant parties at the port, and operational risk management. This research also includes consideration of external factors, including port regulations, market conditions, available infrastructure, and supply chain dynamics. In addition, this study emphasizes the importance of continuous performance evaluation to ensure that ship operations can run according to safety standards, time efficiency, and procedural accuracy. A qualitative approach with a case study design is used and reinforced by quantitative data to get a more comprehensive analytical picture. Data was obtained through in-depth interviews, direct observations in the field, review of operational documents, and surveys involving internal and external parties who play a role in supporting the operational process of ships at the port.

This study aims to determine how to optimize container loading and unloading activities at PT. Pelindo Multi Terminal Sibolga Branch. Container loading and unloading activities are one of the main activities in port operations that greatly affect the efficiency and productivity of maritime logistics. PT. Pelindo Multi Terminal Sibolga Branch as one of the port service providers has an important role in ensuring the flow of goods in the West Coast of North Sumatra. This study is to analyze and identify factors that affect container loading and unloading performance as well as optimization strategies to improve time, costs, and resource utilization. The methods used in this study include field observations, interviews with related parties, and analysis of historical data on operational activities. The results of the study indicate that the main obstacles come from limited equipment, lack of coordination between parties, and low utilization of information technology. Suggested optimization efforts include the addition of heavy equipment for unloading, increasing workforce training, and digitalizing monitoring and scheduling systems.  

In the fast-moving fashion retail industry, supply chain efficiency is a key factor in operational success. Heybeb Factory Outlet, as one of the retail business actors, faces challenges in managing the flow of goods from upstream to downstream, particularly in balancing demand between offline (physical stores) and online (e-commerce/marketplace) channels. This proposal aims to design and analyze the logistics workflow starting from goods ordering (restocking) from the central warehouse, the goods receiving process, rigorous Quality Control (QC) procedures, storage in a dedicated transit warehouse, and the stock distribution mechanism (stock split) for the two sales channels. The main issues identified include the risk of overselling in one channel while stock accumulation occurs in another, as well as the potential for defective items to pass through due to an unstructured QC process. This study employs a descriptive qualitative approach by mapping out an ideal Standard Operating Procedure (SOP). The expected outcome is the development of an integrated inventory management system capable of minimizing return rates caused by defective items and maximizing inventory turnover through accurate stock allocation between online and offline divisions.

Electronic Medical Record (EMR) is an essential component of hospital digital transformation aimed at improving administrative efficiency and service quality. This study aims to analyze the factors influencing the implementation of EMR in outpatient registration at a private hospital in North Jakarta. A mixed-methods design was employed, combining quantitative data collected from questionnaires completed by 30 registration staff with qualitative data obtained through structured interviews and direct observation. The logistic regression analysis revealed that Training and Staff Competence (X2) had a significant positive effect on outpatient registration (OR 30.663; p=0.040), while System Integration and Data Security (X4) also showed a significant effect (OR 15.121; p=0.047). In contrast, Technological Infrastructure Readiness (X1) was positive but not significant (p=0.112), and Organizational Culture and Managerial Support (X3) was negative and not significant (p=0.954). Simultaneously, the model explained 72.1% of the variation in registration effectiveness (Nagelkerke R²=0.721) with a classification accuracy of 93.3%. Qualitative findings supported the quantitative results, highlighting insufficient staff training, persistent technical issues in BPJS system bridging, and difficulties faced by elderly patients in adapting to digital registration. Elderly patients still required staff assistance and simple educational media such as tutorial videos displayed in hospital waiting areas. This study concludes that staff competence and system integration are the key determinants of successful EMR implementation in outpatient registration. It is recommended that hospitals strengthen continuous training programs, improve network and server stability, and expand patient education initiatives to ensure effective, efficient, and patient-friendly digital services.

The purpose of this study is to investigate the strategic role of air transportation management in Military Operations Other Than War (MOOTW), particularly in archipelagic contexts such as Indonesia, where rapid humanitarian response, territorial surveillance, and civil–military cooperation are essential for resilience. By applying a Systematic Literature Review (SLR), this article synthesizes findings on humanitarian logistics, technological transformation, and policy frameworks for strengthening national defense readiness. Design/methodology/approach – This study employs a qualitative Systematic Literature Review (SLR) methodology guided by PRISMA principles, analyzing 30 scholarly contributions from 2009–2025, including international peer-reviewed journals, Routledge and Springer volumes, arXiv preprints, and Indonesian academic publications.Results highlight that strategic air  transportation is indispensable for disaster relief, medical evacuation, and supply delivery in archipelagic nations. The adoption of AI, machine learning, UAVs, and reinforcement learning has enhanced responsiveness and equity in humanitarian supply chains. However, persistent challenges include aging fleets, interoperability constraints, and fragmented civil–military coordination. The study underscores the need for modernization of air assets, institutionalized civil–military collaboration, and integration of AI-based routing and command systems. Strengthening these aspects can enhance Indonesia’s resilience and preparedness in MOOTW scenarios. This article uniquely bridges global research on data-driven air power with Indonesian defense perspectives, proposing a scalable strategic framework for air transportation management that advances archipelagic resilience.

The position of judges in the process of proving civil cases occupies a fundamental role in upholding justice and legal certainty within the Indonesian judicial system. This study aims to examine the judge’s position, duties, and authority in the evidentiary process of civil cases through a literature review focusing on doctrines and jurisprudence. Using a normative juridical method with a library research approach, this paper analyzes legal theories, statutory provisions, and judicial precedents that regulate evidentiary procedures in civil law. The findings show that a judge is not merely a passive law enforcer but an active truth-seeker who must interpret and assess evidence based on principles of fairness, propriety, and moral values. The judge’s discretion in evaluating evidence reflects the responsibility to harmonize formal legal norms with the pursuit of substantive justice. Jurisprudence demonstrates that judges play an essential role in shaping evidentiary standards and ensuring that court decisions reflect the ideals of justice and legal certainty. The study concludes that the authority and independence of judges are crucial in realizing a fair trial, as they ensure that decisions are based on verified facts, logical reasoning, and moral responsibility. Strengthening the professionalism and integrity of judges is necessary to guarantee that the evidentiary process in civil proceedings fulfills the principles of equality before the law and promotes justice in society. 

Acute Respiratory Infections (ARI) in the working area of Mulyorejo Public Health Center, where an aluminum factory is located, rank first among the ten most common diseases. This study aims to analyze the influence of sociodemographic characteristics and PM2.5 exposure on ARI complaints in the aluminum factory area of Payageli Village, Deli Serdang Regency. The cross-sectional observational study involved 160 housewives living within a radius of 10–1500 meters from the factory’s chimney. The analysis included univariate, bivariate, and multivariate methods. Results showed that 58.1% of respondents experienced ARI symptoms in the past month. The average ambient (outdoor) PM2.5 concentration measured from three sampling points was 12.3 µg/m³, which did not exceed the WHO standard (<15 µg/m³). The highest concentration was recorded in the southern direction (15.5 µg/m³). Bivariate analysis indicated that education (p = 0.010), direction of house location (p = 0.001), and indoor PM2.5 concentration (p = 0.006) were significantly associated with ARI. Multivariate logistic regression analysis showed that the most dominant factor influencing ARI was indoor PM2.5 concentration (p = 0.039), followed by education (p = 0.013) and direction of house location (p = 0.001). This study provides a scientific basis for air quality control and housing environment improvement to reduce the risk of environmentally related diseases in industrial zones.

This research investigates the impact of the work environment and workload on job satisfaction among employees in the Operational Logistics Division at Pos Indonesia, Surabaya Main Branch. A quantitative method was applied with a total of 45 respondents selected through a saturated sampling technique. Data were obtained using interviews, questionnaires, and observations based on a Likert scale, and analyzed using Partial Least Square (PLS). The results reveal that the work environment has a positive and significant effect on job satisfaction, while workload has a negative and significant effect. These findings indicate that an improved work environment increases employee job satisfaction, whereas higher workloads tend to decrease it.