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This community service activity aimed to strengthen the readiness of outstanding students of State Polytechnic of Sriwijaya in the Pilmapres 2026 selection through structured mentoring on achievement portfolio, innovative product, and English presentation. The program was designed as a participatory capacity-building activity involving needs identification, portfolio clinic, innovative product mentoring, English communication practice, presentation simulation, and reflective evaluation. The activity was implemented through technical meetings, document review, discussion, presentation practice, and feedback sessions involving students, supervisors, and institutional stakeholders. The results indicate that the mentoring process helped students organize evidence of achievement, sharpen the problem-solution logic of their innovative products, improve presentation confidence, and understand the assessment orientation of Pilmapres. Documentation of the activity shows the stages of preparation, selection, product presentation, and award ceremony. The program implies that continuous institutional mentoring is essential to build an ecosystem of student achievement, innovation, and English communication competence in vocational higher education.Keywords: Pilmapres; outstanding student; portfolio; innovative product; English presentation

Health Organization (WHO) melaporkan secara global pada tahun 2020, diperkirakan terdapat 10 juta kasus TB dengan Indonesia berada pada peringkat kedua penyumbang kasus TB terbanyak (8,5%) setelah India (26%). Pemeriksaan bakteriologis merupakan salah satu evaluasi pengobatan dalam menilai keberhasilan terapi TB, salah satunya dengan evaluasi pemeriksaan mikroskopis. Meskipun dengan berbagai kekurangan, penilaian dalam perubahan status sputum Basil Tahan Asam (BTA) setelah 2 bulan terapi masih digunakan sebagai marker respons terapi dan kesembuhan, hingga dinilai perlu dikembangkan pemeriksaan penunjang lain untuk memberikan informasi prognostik keberhasilan terapi. Penelitian ini bertujuan untuk mengetahui hubungan kadar IL-6 terhadap waktu konversi sputum BTA pada pengobatan TB paru. Penelitian dilaksanakan di RSUD Labuang Baji Makassar dengan jenis penelitian yang digunakan kuantitatif menggunakan desain observasional dan pendekatan kohort retroprospektif. Data analisis dengan menggunakan Uji regresi logistik digunakan untuk melihat hubungan antara kadar Interleukin-6 (Il-6) terhadap waktu konversi sputum pada pengobatan TB paru. Berdasarkan hasil penelitian terhadap 51 sampel yang memenuhi kriteria inklusi dan ekslusi, didapatkan hasil sebagai berikut : kadar Il-6 pada penelitian ini memiliki ambang batas 16,21 pg/ml dengan tingkat sensitivitas 92,31 % dan spesifisitas 89,47 % serta terdapat hubungan antara kadar Il-6 yang tinggi dengan tingkat kepositifan sputum BTA dan lama nya konversi sputum BTA pada pengobatan TB paru

This study aims to evaluate user satisfaction with the Customer Service Management System (CSMS) at PT Jaya Abadi Kontrindo using the End User Computing Satisfaction (EUCS) method. The CSMS is utilized to support various operational activities, such as purchase requests, payment requests, accounts receivable management, sales order rescheduling, and digital report generation. However, the system still faces several issues, including suboptimal response time, lack of user guidance, and the absence of a specific evaluation of user satisfaction. This study employs a qualitative approach by distributing questionnaires to 50 CSMS users using purposive sampling. The instrument was developed based on the five EUCS dimensions, namely content, accuracy, format, ease of use, and timeliness. The collected data were analyzed using validity testing, reliability testing, mean-based descriptive analysis, and Spearman correlation analysis. The results show that all questionnaire items are valid and reliable. In addition, all EUCS dimensions fall into the satisfied category, with the highest score in ease of use and the lowest in content. The Spearman correlation results also indicate that all EUCS dimensions have a significant relationship with user satisfaction.

Information technology services have an important role in supporting operational activities and digital services at PT Pertamina Patra Niaga Regional Sumbagsel through the MyPertamina application. However, several service disruptions are still encountered, such as server downtime, database errors, system bugs, login failures, and delays in transaction verification, which affect service quality and operational effectiveness. This study aims to analyze the maturity level of information technology services using the ITIL V4 framework, focusing on Incident Management and Problem Management practices. The research employed a mixed methods approach with descriptive analysis through observation, interviews, questionnaires, SWOT analysis, RACI mapping, maturity level assessment, and gap analysis. The results indicate that Incident Management obtained a maturity value of 3.09 and Problem Management obtained 2.91, both categorized at Level 3 (Defined Process). These findings show that service management processes have been implemented and documented properly, although several aspects still require improvement, particularly in monitoring, documentation, root cause analysis, and process evaluation. Therefore, the implementation of ITIL V4 practices is expected to improve the effectiveness, consistency, and quality of information technology service management within the organization.

This study aims to analyze the effect of the Bank Indonesia interest rate on the Indonesian rupiah exchange rate against the United States dollar during the 2021–2026 period. A quantitative approach was employed using monthly time-series data obtained from official sources. The analysis was conducted using multiple linear regression with the assistance of EViews software. The dependent variable in this study was the rupiah exchange rate against the US dollar, while the independent variables included the Bank Indonesia interest rate, inflation, money supply (M2), and the Federal Reserve interest rate (Fed Rate). Prior to regression estimation, all data were tested for stationarity using the Augmented Dickey-Fuller (ADF) test to ensure compliance with time-series analysis requirements. Furthermore, the model was evaluated through classical assumption tests, including normality, heteroscedasticity, multicollinearity, and autocorrelation tests, to verify the validity and reliability of the estimation results. The findings reveal that the Bank Indonesia interest rate has a significant effect on the rupiah exchange rate, with a probability value of 0.0223. This result indicates that changes in the domestic interest rate can influence movements in the rupiah exchange rate against the US dollar. In contrast, inflation, money supply (M2), and the Fed Rate were found to have no significant effect on the rupiah exchange rate during the study period. Moreover, the classical assumption tests confirmed that the regression model satisfied all required criteria, indicating that the estimated results are reliable and can serve as a reference for economic policy formulation.

Micro, Small, and Medium Enterprises (MSMEs) play an important role in improving the community’s economy. However, many MSME actors still face difficulties in managing business finances. These problems were also experienced by the Samiler Crackers MSME in Betro Hamlet, Wonosunyo Village, Gempol District, Pasuruan Regency, particularly in preparing the Cost of Goods Manufactured (COGM), determining selling prices, and managing simple financial reports. This community service activity aimed to improve the understanding and skills of MSME actors in financial management. The implementation method used a Participatory Action Research (PAR) approach through observation, socialization, training, mentoring, and evaluation stages. The results of the activity showed that MSME actors were able to prepare a more detailed Cost of Goods Manufactured by classifying production costs, understand selling price determination based on raw material costs and product quality, and conduct simple financial recording of cash inflows and cash outflows. In addition, simple financial reports helped MSME actors identify income levels and business conditions. This mentoring activity had a positive impact on improving MSME financial management capabilities and is expected to support the sustainability and development of the Samiler Crackers business in Wonosunyo Village.Micro, Small, and Medium Enterprises (MSMEs) play an important role in improving the community’s economy. However, many MSME actors still face difficulties in managing business finances. These problems were also experienced by the Samiler Crackers MSME in Betro Hamlet, Wonosunyo Village, Gempol District, Pasuruan Regency, particularly in preparing the Cost of Goods Manufactured (COGM), determining selling prices, and managing simple financial reports. This community service activity aimed to improve the understanding and skills of MSME actors in financial management. The implementation method used a Participatory Action Research (PAR) approach through observation, socialization, training, mentoring, and evaluation stages. The results of the activity showed that MSME actors were able to prepare a more detailed Cost of Goods Manufactured by classifying production costs, understand selling price determination based on raw material costs and product quality, and conduct simple financial recording of cash inflows and cash outflows. In addition, simple financial reports helped MSME actors identify income levels and business conditions. This mentoring activity had a positive impact on improving MSME financial management capabilities and is expected to support the sustainability and development of the Samiler Crackers business in Wonosunyo Village

The development of digital technology has transformed trading patterns through the emergence of live shopping, a phenomenon that enables real-time interaction between sellers and consumers. Although it offers marketing efficiency, this model poses significant legal risks, including misleading information, promotional manipulation, and product non-conformity. This study aims to analyze legal certainty in consumer protection within live shopping transactions, examine the forms of business actors’ liability for consumer losses, and identify obstacles to regulatory implementation along with efforts to strengthen supervision.The research method employed is normative legal research using both a statute approach and a conceptual approach. The results indicate that legal certainty in consumer protection within this ecosystem is grounded in the integration of Law No. 8 of 1999 (Consumer Protection Law) as the lex generalis and Government Regulation No. 80 of 2019 (Electronic Commerce/PMSE) as the lex specialis, which recognizes the validity of real-time electronic contracts. The legal liability of business actors is strict liability in nature, in accordance with Article 19 of the Consumer Protection Law, and may also be construed as a tort (Article 1365 of the Civil Code) in cases involving distortion of visual information.However, the effectiveness of these regulations is hindered by the ephemeral nature of transactions and low levels of digital literacy. This study recommends the implementation of technology-based supervisory systems (suptech), strengthening the oversight function of platforms (PPMSE), and policy synchronization between the Ministry of Trade and the Ministry of Communication and Informatics in standardizing business actor verification to ensure the security of the digital commerce ecosystem.

Micro, Small, and Medium Enterprises (MSMEs) in Kemasantani Village have considerable potential in developing cassava-based products using MOCAF flour, particularly Antari chips. However, limited brand identity, unattractive packaging, and the underutilization of digital marketing have constrained product competitiveness and revenue growth. This community service program aimed to strengthen branding and optimize digital marketing strategies to support MSME revenue growth. A qualitative participatory approach was employed through surveys, interviews, observations, documentation, and direct assistance in brand identity development, packaging redesign, and social media management. The results indicate improvements in product image, packaging attractiveness, and market reach through digital platforms. The integrated application of branding and digital marketing successfully increased consumer engagement and led to an approximate 35% increase in MSME revenue within a three-month period. These findings suggest that strategic branding and digital marketing are effective approaches for enhancing competitiveness and ensuring the sustainability of locally based MSMEs in rural areas.

Background: Automatic segmentation of the thyroid gland in ultrasonography (USG) images using deep learning requires a user-friendly interface to support diagnostic and educational processes. Purpose: This study aims to develop and implement a Graphical User Interface (GUI) that integrates a deep learning U-Net model for interactive and efficient segmentation and visualization of thyroid USG images. Method: The development method employed the Rapid Application Development (RAD) approach using MATLAB programming language. The GUI is designed to load transverse and sagittal USG images, display automatic segmentation results, and calculate thyroid gland volume based on dimensions measured automatically from the segmentation output. Testing was conducted using USG image data from 15 volunteers, and GUI functionality was evaluated using black box testing. Result: The GUI successfully displayed USG images and segmentation results with a responsive 4-panel interface; zoom, pan, and image navigation features functioned well. Automatic segmentation occurred in real-time after image input, and volume measurement results appeared automatically. Black box testing evaluation showed all GUI features operated as expected. The average Dice Similarity Coefficient (DSC) of 0.91 indicates high performance of the U-Net model in thyroid segmentation, consistent with previous findings. Statistical testing confirmed no significant difference between volume measurements using the application and manual methods (p = 0.953). Conclusion: This GUI implementation facilitates users in performing deep learning-based segmentation and visualization of thyroid USG images, improving efficiency and accuracy in thyroid volume measurement. The GUI has potential applications in clinical practice and radiology education.

The purpose of this study is to analyze the effect of liquidity, asset efficiency, and capital structure on profitability in pharmaceutical manufacturing companies listed on the Indonesia Stock Exchange, using Return on Invested Capital (ROIC) as an investment-based profitability indicator. This research employs secondary data from the annual financial statements of pharmaceutical manufacturing companies over a specific period, with multiple linear regression analysis and robust models to ensure model feasibility. The results indicate that liquidity has no effect on profitability. Asset efficiency has a significant negative effect, reflecting the characteristics of the pharmaceutical industry with its high asset intensity. Capital structure has a significant positive effect on profitability, suggesting that measured use of debt can enhance the company’s return on investment. These findings provide theoretical contributions by enriching the literature on investment-based profitability determinants and practical implications for corporate management, investors, and stakeholders in understanding internal factors that influence the financial performance of pharmaceutical companies in Indonesia.

Three-phase induction motors are essential components in industrial cooling systems that require reliable overcurrent protection to maintain operational continuity and prevent equipment damage. In the Cooling Tower Pump panel at PT DongJin Indonesia, a limitation was identified where the terminal of the Electronic Overcurrent Relay (EOCR) could not accommodate the 50 mm² power cable, preventing direct current measurement. This study aims to analyze the effectiveness of integrating a 200:5 A Current Transformer (CT) with the EOCR as an adaptive protection solution that is both safe and efficient. The research employs a case study approach through field observation, motor current measurement using a Fluke 303 Clamp Meter, and descriptive analysis of the recorded data. The results indicate that the three motors operate under stable load conditions, with current values ranging from 236.7 A to 275.7 A, while the secondary current detected by the EOCR ranges from 3.7 A to 3.9 A, consistent with the CT transformation ratio. During the starting phase, the current surged to 600.4 A without causing false tripping, demonstrating that the EOCR effectively distinguishes temporary inrush current from actual fault conditions. Therefore, the integration of CT–EOCR is proven to enhance measurement safety, maintain motor operational stability, and support efficient system maintenance in industrial environments.

This study examines the structural weaknesses of public participation in Indonesia’s legislative process and evaluates the feasibility of adopting a public inquiry mechanism to strengthen Evidence-Based lawmaking. Although the 1945 Constitution and Law Number 13 of 2022 formally guarantee public involvement, existing parliamentary hearings and public consultations remain largely procedural and fail to meet deliberative democratic standards. This condition raises urgent concerns regarding legislative legitimacy, transparency, and the substantive use of public input. The research employs a normative-comparative approach combined with juridical-empirical analysis. It analyzes Indonesia’s participatory legal framework and compares it with public inquiry models in the United Kingdom, Australia, and New Zealand, focusing on institutional independence, transparency, and investigative authority. Empirical assessment of legislative practices reveals a persistent gap between normative guarantees and practical implementation, resulting in symbolic participation with limited policy impact. Comparative findings demonstrate that public inquiry mechanisms can enhance deliberative quality and accountability through systematic evaluation of evidence. The study concludes that a hybrid public inquiry model integrating parliamentary procedures with independent expert panels is legally and institutionally feasible, provided that regulatory reform, institutional capacity building, and political safeguards are effectively implemented.

This study examines the factors influencing the phenomenon of quiet quitting in the context of contemporary organizations by reviewing empirical evidence published between 2021–2024. Quiet quitting refers to the psychological withdrawal of employees who remain formally employed but consciously limit their work involvement to the minimum required by the contract without any explicit intention to quit. Although this phenomenon has been widely discussed in academic literature, much of the research still examines quiet quitting in a fragmented way, lacking a comprehensive theoretical framework. This study adopts a systematic review approach following PRISMA 2020 guidelines, analyzing eight empirical articles indexed in Scopus and Google Scholar. The findings indicate that quiet quitting is influenced by individual factors such as burnout, emotional exhaustion, reduced job satisfaction, and low work engagement. Organizational factors include psychological contract violations, low perceived organizational support, unsupportive leadership styles, excessive workload, and an exclusive work culture. The findings can be understood within the Job Demands–Resources framework, where the imbalance between work demands and organizational resources triggers disengagement. This study contributes theoretically by integrating empirical findings into a more cohesive conceptual framework and provides practical implications for human resource management aimed at improving engagement and organizational sustainability.

Combined spinal epidural (CSE) is a regional anesthesia technique that combines the rapid onset of spinal anesthesia with the flexibility and prolonged analgesia of epidural anesthesia, making it a valuable option for major surgery in elderly patients with comorbidities. We report a case of a 76-year-old man with ASA physical status III diagnosed with multiple nephrolithiasis accompanied by bilateral hydronephrosis, who underwent open right nephrolithotomy under CSE anesthesia. The patient had a history of hypertension and mild renal function impairment, placing him at increased perioperative risk. Intraoperatively, hemodynamic parameters remained stable without significant hypotension, vasopressor requirement, or conversion to general anesthesia. Estimated blood loss was approximately 500 mL and was managed with crystalloid replacement without transfusion. Prophylactic antibiotic and adjuvant medications were administered according to surgical standards. Postoperatively, the patient was monitored in the ICU with stable vital signs and adequate pain control achieved through continuous epidural analgesia. This case highlights that CSE can be a safe and effective anesthetic approach for open nephrolithotomy in selected high-risk geriatric patients, providing satisfactory hemodynamic stability and postoperative recovery.

Information technology (IT) infrastructure planning plays a strategic role in supporting organizational performance and achieving business objectives. However, many organizations experience misalignment between IT infrastructure planning and organizational needs, leading to inefficiencies, limited system integration, and suboptimal utilization of IT investments (Maulana, 2024; Njanka et al., 2025). This study aims to analyze the suitability of IT infrastructure planning with organizational needs using a quantitative approach. The research framework integrates the Strategic Alignment Model (SAM), Strategic Alignment Maturity Model (SAMM), and COBIT 2019 governance principles. Data were collected through a structured questionnaire distributed to IT managers and system users. A total of 85 valid responses were analyzed using descriptive statistics and gap analysis. The results indicate that IT infrastructure planning is moderately aligned with organizational needs, particularly in supporting operational activities. Nevertheless, significant gaps were identified in system integration, scalability, and long-term infrastructure planning. These findings highlight the importance of continuous evaluation and governance-based IT planning to enhance alignment and ensure sustainable organizational performance.

The interactive learning video innovation "Human Blood Circulation" through Edpuzzle, with embedded questions, is designed to address the difficulties faced by fifth-grade elementary school students in understanding abstract biological concepts. Science education in elementary schools often encounters challenges in explaining invisible processes, such as the heart's working mechanism and blood circulation, leading students to struggle with comprehension or merely memorize the material. Conventional learning videos tend to make students passive, necessitating media that can transform the learning process into an active one. Edpuzzle, as an educational platform, allows teachers to insert questions at critical points in the video, requiring students to answer before continuing to watch. This innovation aligns with the cognitive development stage of fifth-grade students, who are in the concrete operational stage.The research objectives include product development, validity and feasibility testing, analysis of conceptual understanding improvement, influence on focus and learning independence, and student responses. Media development refers to Mayer's cognitive theory of multimedia and the characteristics of interactive videos according to Heinich et al. Additionally, media development models such as ADDIE and Dick and Carey are discussed. The main benefits of using Edpuzzle include increasing engagement, facilitating real-time formative assessment, and enhancing learning motivation. However, challenges exist such as technology access, teacher readiness, the risk of technology dependency, and long-term evaluation. The practical implications can support digital learning and the transformation of elementary science education.

This study explores the effectiveness of a time management intervention in reducing academic procrastination among first- and second-semester undergraduate students at several universities in Malang. A quasi-experimental method was employed involving two groups with a total of 20 participants: 10 students in the experimental group who received a time management workshop and 10 students in the control group. The research instrument was the Academic Procrastination Scale developed by Onwuegbuzie. The intervention was conducted over six sessions focusing on techniques such as the Pomodoro Technique, Eisenhower Matrix, distraction management, relaxation, reward systems, to-do lists, leisure time management, and weekly scheduling. Data were collected through questionnaires and analyzed using an independent samples t-test and the nonparametric Mann–Whitney test. Participants were selected using a random sampling technique, and the academic procrastination scale was used as the primary measurement instrument. The results indicate that the time management intervention was effective in reducing academic procrastination, suggesting important implications for the development of more effective educational strategies. This research is expected to contribute to the design of more effective intervention programs to increase the academic productivity of students in higher education.

Stock price prediction remains a complex challenge due to the dynamic and non-linear nature of financial markets, especially for banking stocks like PT Bank Negara Indonesia (Persero) Tbk (BBNI). This study aims to optimize BBNI stock price forecasting by integrating an automated Extract, Transform, Load (ETL) pipeline with the Long Short-Term Memory (LSTM) algorithm within a data engineering framework. Historical data from 2019 to 2025 were processed through a structured ETL sequence—including data cleaning, feature engineering, and MinMaxScaler normalization—to ensure high data quality. The dataset was partitioned into 80% for model training and 20% for testing to ensure rigorous evaluation. The results demonstrate that the systematic ETL approach significantly enhances model stability and predictive accuracy compared to conventional methods. The LSTM model effectively captured long-term temporal dependencies, providing reliable trend forecasts with an impressive test accuracy, achieving a Root Mean Squared Error (RMSE) of 0.0354. This research underscores that integrating robust data engineering practices with deep learning is essential for building resilient financial decision-support systems.

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 utilization of digital technology in government administration is a critical measure to improve employee performance and the efficiency of public services. However, the effectiveness of implementing this technology is highly determined by the degree to which employees accept the digital systems being used. This study aims to analyze the impact of digital technology acceptance on employee performance at the Mojoroto District Office in Kediri City. The research employs a quantitative method with an explanatory design. Information was obtained through a questionnaire survey distributed to all employees at the Mojoroto District Office, totaling 30 respondents, using total sampling techniques. Indicators of digital technology adoption were evaluated based on perceptions of benefits, operational ease, social pressure, and infrastructural support, while employee performance was assessed according to the quality of work output and responsibilities. Data analysis involved descriptive statistics, validity and reliability tests, and ordinal linear regression. The study findings indicate that digital technology acceptance has a positive and significant influence on employee performance. The coefficient of determination figure reveals that digital technology adoption can explain a large part of the fluctuations in employee performance, with the remaining variation influenced by variables outside the research model. These results imply that the greater the level of digital technology acceptance, the better the resulting employee performance. This study concludes that strengthening digital capabilities, technical guidance, and institutional support are key strategies for enhancing employee performance and public service quality at the district level.