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This research is motivated by the problem of uneven bandwidth distribution in hotspot internet services at Oey Alycia Resto & Cafe, which negatively affects connection quality for users. The purpose of this study is to design and implement a bandwidth limitation-based hotspot internet system by applying a Fair Usage Policy (FUP) using Mikrotik devices, in order to achieve fair and efficient internet access distribution. The research method includes network requirement analysis, network topology design, Mikrotik RouterOS configuration, and system performance testing through direct observation and user questionnaires. The system implementation involves hotspot user authentication, per-user bandwidth allocation, and automatic speed reduction when data usage exceeds the predefined FUP threshold. The results show that the implemented system effectively limits excessive bandwidth usage by individual users, improves network stability, and ensures equitable internet access for all hotspot users. Furthermore, questionnaire results indicate positive user responses regarding improved internet service quality after the application of FUP. This research implies that the proposed system enhances the effectiveness of hotspot bandwidth management and can serve as a practical solution for public network administrators in optimizing bandwidth usage in a fair and controlled manner.

Operational quality in the oil and gas sector strongly depends on the accuracy of monitoring instruments, such as oxygen analyzers. This study aims to validate the performance of an oxygen analyzer using the Factory Acceptance Test (FAT) procedure conducted by PT JGC Indonesia. The testing methodology involves the use of reference gases at different concentration levels, including nitrogen as the zero gas, to evaluate the linearity and consistency of the analyzer output within the 4-20 mA signal range. In addition, the tests are performed to verify the conformity of the instrument response with the datasheet specifications and applicable FAT procedures. The results show that the analyzer provides accurate measurement data with low deviation and a responsive alarm system under critical conditions. These findings confirm that the instrument meets the required technical standards. Based on the validation results, the oxygen analyzer is considered ready for installation and suitable for operation to support process safety in oil and gas facilities. This achievement confirms that a rigorous validation process is key to ensuring peace and operational safety in the oil and gas industry.

This study examines the effectiveness of the Jakarta Evolution (JakEVO) program in the implementation of online-based licensing services in South Jakarta, specifically for public transportation route licensing. The program was initiated as part of a public service reform effort aimed at improving accessibility, efficiency, and transparency in the licensing administration process. This study uses a qualitative descriptive approach with data collection techniques including in-depth interviews, field observations, and document studies, involving both the implementing officials at the South Jakarta UP PMPTSP and the public as service users. The findings indicate that JakEVO has positively contributed to the ease and flexibility of the licensing process, particularly in reducing the need for face-to-face interactions. However, its implementation has not yet been fully optimized due to several challenges, including limited program socialization, low digital literacy among the public, technical disruptions in the application system, and human resource capacity that is not fully adaptive to digital transformation. Additionally, the program's evaluation mechanism remains descriptive and lacks comprehensive quantitative performance indicators.

The objective of this study is to formulate new propositions on school management based on the findings obtained from the two schools under investigation, namely: (1) school planning in improving teacher performance at State Islamic Senior High School 1 Trenggalek and State Senior High School 1 Trenggalek; (2) the implementation of school management in improving teacher performance at State Islamic Senior High School 1 Trenggalek and State Senior High School 1 Trenggalek; and (3) school supervision in improving teacher performance at State Islamic Senior High School 1 Trenggalek and State Senior High School 1 Trenggalek. This research employed a case study approach with a qualitative research design. The researcher’s presence in the schools served as the primary instrument, supported by non-human instruments as complementary tools. Data sources consisted of primary data in the form of words and actions observed from principals, vice principals, teachers, and administrative staff, as well as secondary data in the form of school documents. Data collection techniques included in-depth interviews, participant observation, and documentation. Data analysis was conducted using the Miles, Huberman, and Saldaña model, which comprises data condensation, data display, and conclusion drawing. The data analysis techniques applied were (1) single-case analysis conducted separately in each school and (2) cross-case analysis conducted by comparing and synthesizing data across cases. The research findings indicate that: (1) school planning to improve teacher performance carried out by principals included (a) adherence to the school’s vision, mission, and objectives; (b) consideration of the results of the School Self-Evaluation (EDS) through SWOT analysis to enhance teacher performance; and (c) the formulation of school activity plans collaboratively with the school committee; (2) the implementation of school management to improve teacher performance by principals involved (a) mobilizing and motivating all members of the school community and utilizing all available school resources; (b) controlling and supervising the implementation of school activities; (c) securing support for school activities from parents/guardians, the school committee, and the community; (d) fulfilling teachers’ needs; (e) proportional distribution of tasks and clear job descriptions aligned with teachers’ competencies; (f) enhancement of teacher competencies; and (g) fostering a culture of mutual cooperation, care, and respect among school members to improve teacher performance.

In Surabaya City, the City Government through the Transportation Agency developed the Suroboyo Bus and Trans Semanggi programs to address traffic congestion, limited public transportation, and the need for safe, comfortable, and environmentally friendly transportation. However, complaints are still found regarding limited facilities, irregular schedules, and suboptimal communication services, so that service performance evaluation is needed from the user's perspective. This study aims to analyze the performance of Suroboyo Bus and Trans Semanggi public transportation services at the Surabaya City Transportation Agency using five public service performance indicators according to Dwiyanto et al. (2021), namely productivity, service quality, responsiveness, responsibility, and accountability. The approach used is quantitative with the Importance Performance Analysis (IPA) method. The results of the study show an average expectation score (importance) of 4.18 and a reality score (performance) of 3.86 with an overall gap of -0.32, which means that the performance of Suroboyo Bus and Trans Semanggi services still does not meet public expectations. Through the IPA mapping, three attributes are in Quadrant I (high priority): the friendly and professional attitude of staff, the adequacy of on-board facilities, and the transparency of official information regarding schedules and service changes. A total of 13 attributes are in Quadrant II (maintained), 13 attributes in Quadrant III (low priority), and one attribute in Quadrant IV (excessive).

The competitiveness of gig workers in the digital economy era raises issues such as competency gaps with market needs and instability in the quality of gig workers' work. This study explains the influence of training, work skills, and independent learning on the performance of gig workers who participate in training programs at the Central Java Province Cooperative and SME Training Center. Therefore, this study aims to examine the influence of each variable partially and simultaneously. This study uses a quantitative approach by distributing questionnaires to the entire population or using a saturated sample of 50 gig workers participating in training at BALATKOP UKM. The data was obtained using a Likert scale questionnaire instrument compiled based on the operational definitions of the variables and analyzed using multiple linear regression analysis to test the influence of training (X2), work skills (X2), and independence (X3) on performance (Y). The results of the study show that training, job skills, and independent learning each have a positive and significant effect on gig worker performance, and simultaneously, these three variables have a 66.5% effect on performance. This synthesis of findings confirms that gig worker performance is not only determined by the quality of training programs and technical skill mastery, but also by the ability to manage the learning process independently. Therefore, the conclusion is that the development of training programs at BALATKOP UKM needs to be designed in an integrated manner to simultaneously strengthen training, work skills, and independent learning as a strategy for improving the sustainable performance of gig workers.

This article aims to analyze the role of human resource management in improving organizational performance and formulate strategic recommendations based on improvements in human resource management practices. The theoretical foundations used include strategic human resource management theory, organizational performance theory, and work motivation theory, which are used to examine the functions of workforce planning, competency development, performance appraisal, and reward systems. This study employed a qualitative, descriptive-analytical approach, with data collection techniques including in-depth interviews, non-participant observation, and documentation studies. Data analysis was conducted using an interactive qualitative analysis model that encompasses data reduction, data presentation, and conclusion drawing. The analysis results indicate that workforce planning based on organizational needs, continuous competency development, an objective performance appraisal system, and a performance-based reward system are directly related to increased effectiveness, productivity, and stability of organizational performance. Furthermore, efforts to improve human resource management practices through policy evaluation, strengthening strategic planning, enhancing internal communication, and data-driven decision-making have proven to be a strong foundation for formulating strategic recommendations for the organization. The study's conclusions confirm that the systematic and strategic integration of human resource management functions is a key factor in achieving sustainable organizational performance and adapting to changes in the work environment.

The development of information technology has significantly improved the efficiency of application-based delivery services, including Shopee Partner Driver couriers. However, several issues such as delays in information updates, system errors, and inaccurate delivery data still affect courier performance. This study aims to analyze the effect of Information Quality and System Quality on the Performance of Shopee Partner Driver Couriers in Medan City. This research used a quantitative method with a questionnaire survey distributed to 100 active couriers. The instrument applied a fivepoint Likert scale, and data were analyzed using validity and reliability tests, descriptive statistics, and multiple linear regression analysis with SPSS software. The results indicate that both Information Quality and System Quality have a positive and significant effect on Courier Performance. The coefficient of determination (R²) of 0.625 shows that these two variables explain 62.5% of courier performance variance, while the remaining 37.5% is influenced by other factors. These findings support the DeLone and McLean (2003) model of information system success, emphasizing the importance of system and information quality in enhancing user performance.

The 50 meter freestyle is a sprint event that requires explosive strength, efficient technique, and optimal body stability. Arm muscle strength contributes directly to propulsion, while core muscle strength supports stability and force transfer. This study aimed to analyze the influence of arm and abdominal muscle strength on 50-meter freestyle swimming performance among athletes of the Science Swimming Team (SST) Sidoarjo. A quantitative correlational design was employed with a sample of 10 athletes aged 10–12 years (5 males, 5 females). Arm muscle strength was measured using the pull-up test, abdominal strength with a 30-second sit-up test, and swimming performance with the best time in a 50-meter freestyle trial. Data were analyzed using Spearman correlation and multiple linear regression with a 0.05 significance level. Results indicated a significant correlation between arm strength and swimming performance (r = 0.773; p = 0.009), while abdominal strength showed a positive but non-significant correlation (r = 0.609; p = 0.062). Regression analysis revealed that both variables together explained 57.7% of the variance in swimming speed. It is concluded that arm muscle strength has a dominant influence on freestyle sprint performance, whereas core muscles serve as supporting factors for stability and efficiency. These findings highlight the importance of integrated training programs combining arm and core strengthening to optimize sprint performance in young swimmers.

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.

Micro, Small, and Medium Enterprises (MSMEs) play a strategic role in the regional economy, including in Boyolali Regency. However, this contribution has not been fully matched by adequate human resources (HR). The main problem in this study is the still low capacity of MSMEs' human resources, particularly in aspects of managerial skills, digital literacy, and adaptability to changes in the business environment, which impact business performance. This study aims to analyze human resource development strategies implemented in the MSME context and examine the impact of these strategies on improving MSME performance in Boyolali Regency. The research method used is a Systematic Literature Review (SLR) with a content analysis approach to relevant scientific literature from the past five years. The research process includes determining inclusion and exclusion criteria, searching for literature sources, thematic coding, and synthesizing research findings. The results show that effective HR development strategies can be grouped into three main aspects: skills training, marketing digitalization, and cross-sector collaboration. These three strategies have been proven to contribute positively to improving MSME competency, operational efficiency, market expansion, and business competitiveness. Thus, human resource development is a key factor in driving sustainable improvement in MSME performance, particularly in facing the challenges of digital transformation and increasingly complex economic competition.

This study is motivated by the increasing need for accurate modeling and classification of one-dimensional signal data in intelligent systems. The rapid development of deep learning has led to the adoption of more adaptive and complex neural network architectures capable of capturing both temporal dependencies and local patterns in sequential data. This research aims to analyze and compare the performance of several deep learning models, namely Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and a hybrid Convolutional Neural Network–GRU (CNN–GRU) model for signal data classification. The research method employs a quantitative experimental approach involving data preprocessing, windowing, model training, and performance evaluation. Model performance is evaluated using accuracy, precision, recall, and F1-score metrics. The results indicate that the hybrid CNN–GRU model outperforms the other models, particularly in capturing local features and long-term temporal dependencies within signal data. These findings suggest that the integration of convolutional layers and recurrent mechanisms enhances feature representation and learning stability. This study is expected to contribute both theoretically and practically to the development of deep learning models for signal processing and time-series-based intelligent applications.

Taxes play a vital role as the primary source of state revenue and a key instrument for financing national development through the State Budget (APBN). This study aims to analyze the determinants of tax compliance among Micro, Small, and Medium Enterprise (MSME) taxpayers in Semarang City, with a particular focus on the effects of tax policy, subjective norms, and financial performance. A quantitative associative approach was employed, using primary data collected through questionnaires distributed to 100 MSME taxpayers selected via purposive sampling. The data was analyzed using the Partial Least Squares (PLS) method with WarpPLS software. The results indicate that tax policy and subjective norms have a positive and significant effect on MSME tax compliance, while financial performance shows no significant effect. The adjusted R² value reveals that the model explains 87.2% of the variance in taxpayer compliance. To enhance MSME tax compliance, the government should simplify tax regulations, strengthen social norms through education and community engagement, and ensure consistent, transparent, and fair implementation of tax policies

This study aims to identify and describe the values of Islamic education embedded in the art of Rampak Barongan Dance performed by the Krido Turonggo Mudo Art Studio in Koya Barat Subdistrict, Jayapura City, as well as to analyze this artistic practice as a medium for character education and cultural da’wah within the community. This research employs a qualitative method with a descriptive approach, focusing on an in-depth understanding of the meanings and practices of Islamic values in artistic activities. Research data were collected through direct observation, in-depth interviews with the studio managers and members, and documentation related to the dance training and performance processes. The collected data were analyzed interactively through the stages of data reduction, data display, and conclusion drawing to obtain systematic and comprehensive results. The findings indicate that the Rampak Barongan Dance contains Islamic educational values, including faith (aqidah), sharia, morality (akhlak), and social values. These values are reflected in prayers before performances, the use of modest attire in accordance with Islamic sharia, sincerity in performance, social ethics, solidarity, and teamwork. The practice of training and performing the dance serves as a means of cultivating discipline, responsibility, respect for time, and functions as an effective medium of cultural da’wah by integrating artistic aesthetics with Islamic moral messages.

This study aims to analyze the quality of granulated sugar products at PT Madukismo Yogyakarta using the Six Sigma methodology through the DMAIC approach (Define, Measure, Analyze, Improve, and Control). The main problems identified involve high variations in product quality and significant defects, particularly related to moisture content (less dry) and off-color products. Production and defect data from May 2023 to September 2024 were used to calculate DPMO and sigma levels as indicators of process performance. The results show that the sigma level ranges from 4.48 to 5.03, with the highest DPMO recorded at 1,456.76 and the lowest at 205.55, indicating that the process has not yet achieved Six Sigma performance. Pareto analysis reveals that color defects (58.4%) contribute the most to overall defects. The Fishbone diagram analysis indicates that defect causes originate from factors related to manpower, method, material, machine, measurement, and environment. Improvement recommendations include digitalizing monitoring systems, enhancing SOPs, upgrading operator competencies, modernizing machinery, improving raw material management, and strengthening environmental control systems. These improvements are expected to reduce DPMO to below 500 and increase the sigma level to at least 5.2. This study concludes that the Six Sigma approach is effective in identifying quality issues and formulating strategies to improve the quality of granulated sugar products at PT Madukismo.

This research presents the development of a transaction data protection mechanism for a bouquet sales application by utilizing the Advanced Encryption Standard (AES) algorithm. The rapid growth of digital commerce has led to an increase in online transactions, which in turn raises serious concerns regarding the security of sensitive transaction data. Information such as customer identities, order details, delivery addresses, and payment data are vulnerable to unauthorized access, data leakage, and manipulation if not properly secured. To address these issues, this study applies the AES-128 encryption algorithm using a 128-bit secret key to secure transaction data before it is stored in the system database. The encryption process follows the standard AES workflow, including key expansion, initial transformation, multiple encryption rounds, and a final transformation stage. Decryption is restricted exclusively to authorized users who possess the correct encryption key. The research methodology includes system analysis, AES integration into the application, and functional testing of the encryption and decryption processes. Data integrity is validated by comparing the original plaintext with the decrypted output, while system performance is evaluated based on processing time and decryption accuracy. Experimental results indicate that the average encryption and decryption time remains under 10 milliseconds per transaction, without affecting system performance. The findings confirm that AES-128 effectively enhances transaction data confidentiality and integrity in the bouquet sales application

This study was conducted with the aim of evaluating the dynamics of the financial condition of PT Indofood Sukses Makmur Tbk over a five-year period, namely from 2019 to 2023. This writing applies a quantitative descriptive methodology sourced from secondary data through audited annual financial reports. The main instruments in this data analysis include three pillars of financial ratios: Current Ratio (CR) as a representation of the liquidity aspect, Debt to Asset Ratio (DAR) to measure the level of solvency, and Return on Equity (ROE) as a benchmark for the effectiveness of the company's profitability. Through annual calculations and trend analysis, this study captures the development of the issuer's performance longitudinally. The results of the observation show a significant strengthening in the company's liquidity position, where the Current Ratio jumped from 127% in 2019 to 192% at the end of the 2023 period. In line with that, the solvency profile shows fundamental improvements; Debt reliance, which had reached 51% in mid-2020-2021, was successfully reduced to 46% in 2023. Meanwhile, the company's profitability demonstrated stable resilience, with a consistent ROE of 10% to 13%, despite fluctuations due to operational cost dynamics. Overall, PT Indofood Sukses Makmur Tbk demonstrated excellent financial health through strategic capital and asset management. As a sustainability measure, management is advised to continue optimizing current assets and tightening cost efficiency to secure future profit margins.

The study titled “Designing a Web-Based E-Module for Empowering Tenth-Grade Students’ Writing Skills in Descriptive Text” aims to develop a digital learning medium to improve students’ descriptive writing abilities. The research applies a Design and Development (D&D) approach using the ADDIE model, consisting of analysis, design, development, implementation, and evaluation, supported by a descriptive quantitative method. The study addresses limitations of traditional, teacher-centered instruction that relies heavily on printed materials by integrating technology into the learning process. The research begins with an analysis of existing teaching practices and learning resources for descriptive text writing. Based on this analysis, a web-based e-module is designed to provide a more interactive and engaging learning experience. The module includes structured materials such as definitions, purposes, text structures, language features, examples, and practice exercises. The e-module is then implemented in a tenth-grade classroom setting, followed by an evaluation of its effectiveness using quantitative data. The results indicate that the web-based e-module effectively improves students’ descriptive writing skills. Interactive features, including multimedia content, self-paced activities, and immediate feedback, enhance students’ motivation and active participation. Teachers and students report positive perceptions regarding the practicality, accessibility, and usefulness of the e-module. Pre-test and post-test results also show a clear improvement in students’ writing performance. Overall, the study concludes that web-based e-modules are a promising instructional medium for enhancing writing skills and supporting student-centered, technology-integrated English language learning.

The Soxhlet extraction method uses repeated heating and solvent circulation to separate substances from mixtures, producing more extract faster than maceration with less solvent. However, this method requires pure solvents and is not suitable for thermolabile compounds as they can be degraded by heat. Soxhlet extraction is more effective for limited quantities of dry and fine herbal materials. This method is widely used to extract phytochemical compounds such as flavonoids, tannins, and curcumin, and has potential in cosmetic raw materials, herbal medicines, and antioxidant products. Although it uses more energy, this technique is efficient and continuous. Modern innovations such as combining it with Ultrasonic Assisted Extraction (UAE) or environmentally friendly microextraction are expected to increase extraction efficiency while reducing the use of organic solvents. Modifications to Soxhlet, including automation and assistive technologies such as high pressure, ultrasound, and microwaves, open up opportunities for commercialization and further research with more optimal results and more practical operations. The modified Soxhlet is considered a “panacea” in extraction due to the significant performance improvements achieved.

Basketball requires mastery of basic technical skills and supportive physical conditions, including agility, which plays a crucial role in dribbling control and game effectiveness. In the extracurricular activities of Stepa Basketball Madiun, agility training has not been applied systematically, necessitating effective training methods to enhance athletes’ abilities. This study aimed to examine the effects of zig-zag run and shuttle run exercises on athletes’ agility and to compare the effectiveness of both exercises. A numerical methodology utilizing a pre-experimental One-Group Pretest–Posttest framework was implemented. The participants comprised 12 athletes between 13 and 15 years of age, who were allocated into two intervention groups. Data were collected using the Edgren Side Step Test before and after six weeks of training, conducted three times per week, and analyzed using t-tests. The results indicated that both exercises significantly improved athletes’ agility, with shuttle run showing a slightly greater improvement than zig-zag run. These findings reinforce the concept that agility can be enhanced through structured training emphasizing directional changes and speed, and provide practical implications for coaches to integrate shuttle run and zig-zag run exercises in training programs to optimize athletes’ performance.