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This study evaluates public sentiment toward Constitutional Court Decision No. 90/PUU-XXI/2023 regarding the age limit for presidential and vice-presidential candidates, a controversial issue closely related to Indonesia’s democratic dynamics. Understanding public opinion on Twitter, as a major platform for political expression, is essential for informing electoral policy formulation. Data were collected using Tweet Harvest through Google Colab and analyzed using the Naïve Bayes algorithm as the primary sentiment classification method, with RapidMiner employed to support and streamline the analytical process. The analysis process included data cleaning, text normalization, stopword removal, manual labeling of 80 tweets as training data, and automatic sentiment classification to identify positive and negative sentiments. From a total of 151 analyzed tweets, 84 (55.63%) were classified as negative and 67 (44.37%) as positive, with the model achieving an accuracy of 66.67%. These findings suggest a tendency toward public opposition to the decision, reflecting dissatisfaction among Twitter users. The study demonstrates that Naïve Bayes is reasonably effective for sentiment classification with limited datasets and provides insights for policymakers in understanding public responses to election-related regulations.

Type 2 Diabetes Mellitus is a chronic disease with an increasing prevalence and requires long-term therapy, resulting in a significant economic burden on healthcare systems. This study aimed to analyze the cost-effectiveness of antidiabetic drug use among Type 2 Diabetes Mellitus patients in the inpatient unit of Dr. R. Hardjanto Hospital, Balikpapan. This research employed an observational analytic design with a cross-sectional approach and retrospective data collection from medical records and administrative data for the period January–December 2023. A total of 54 patients who met the inclusion criteria were included as study samples. Therapeutic effectiveness was assessed based on the achievement of random blood glucose levels ≤200 mg/dL, while the analysis focused on direct medical costs. Cost-effectiveness was evaluated using the Average Cost-Effectiveness Ratio (ACER) and Incremental Cost-Effectiveness Ratio (ICER). The results showed that Metformin–Apidra therapy achieved higher clinical effectiveness (92%) with an average cost of IDR 3,636,721 and an ACER value of IDR 39,529. Meanwhile, Glimepiride–Sansulin therapy demonstrated 81% effectiveness with a lower average cost of IDR 2,519,259 and an ACER value of IDR 31,101. The ICER value of IDR 10,158 indicates the additional cost required to achieve a 1% increase in effectiveness. In conclusion, Metformin–Apidra therapy is more clinically effective, whereas Glimepiride–Sansulin therapy is more cost-effective economically.

The growth of the culinary industry requires small-scale food businesses to implement effective and efficient operational management. This study analyzes the optimization of operational management at Teen Canteen by examining the use of digital systems, staff performance, the implementation of Standard Operating Procedures (SOP), and operational constraints. A descriptive qualitative approach was employed, with data collected through semi-structured interviews and direct observation. The informant was purposively selected, namely the Head Bar, who is directly involved in daily operational activities. Data analysis was conducted using the Miles and Huberman model. The findings indicate that Teen Canteen’s operational management has not been optimally implemented due to the discontinuation of digital cashier systems, reliance on manual transaction and inventory records, and inconsistent SOP implementation. Although staff performance is generally adequate, issues related to discipline and service responsiveness remain. This study recommends reintroducing digital cashier systems and establishing written SOPs to improve operational effectiveness.

This study aims to systematically analyze the implementation of formative and summative assessments in Grade IV Islamic Religious Education (PAI) at SDN 2 Konda within the framework of the Merdeka Curriculum. The research employs a qualitative approach with a case study design to obtain an in-depth and contextual understanding of classroom assessment practices. Data were collected through classroom observations, in-depth interviews with teachers, the principal, and parents, as well as an analysis of curriculum documents and various assessment instruments used throughout the learning process. The data were analyzed using thematic coding techniques supported by NVivo software, guided by the Formative Summative Continuum framework to examine the alignment and integration between both assessment types. The findings indicate that teachers have regularly implemented formative assessment through digital quizzes, direct observation, reflective discussions, and continuous feedback, which have increased student participation and strengthened competency mastery. Meanwhile, summative assessment was conducted at the end of the semester through written tests and project-based assignments; however, it still primarily emphasizes cognitive aspects and has not fully integrated formative assessment evidence. The study also identifies limitations in the use of multidimensional rubrics, continuous portfolio management, and meaningful parental involvement in the overall evaluation process.

This study aims to analyze the use of digital media in the form of infographics to improve student learning outcomes in history lessons, specifically regarding the events of the national movement in the 11th grade students of SMA Muhammadiyah 07 Serbelawan in the 2024/2025 academic year. Along with technological advancements, the use of digital media is becoming increasingly popular in education as an alternative to improve student understanding and learning interest. One form of digital media used is infographics, which can simplify complex information into easier-to-understand information through engaging visual elements. The research method used was classroom action research (CAR), implemented in two cycles, with the stages of planning, implementation, observation, and reflection. The subjects of this study were 30 11th grade students of SMA Muhammadiyah 07 Serbelawan. Data collection techniques were conducted through tests, observations, and interviews. Data analysis was conducted using quantitative and qualitative descriptive analysis. The results showed that the use of infographics in history lessons can improve student understanding and learning interest. Improved student learning outcomes were evident in improved test scores after the use of infographics, as well as increased student active participation in class discussions. Furthermore, students also responded positively to the use of this digital media because infographics presented information in a more engaging and easy-to-understand manner. Based on the results of this study, it can be concluded that the use of digital media in the form of infographics can be effective in improving students' history learning outcomes, particularly in understanding the material on the national movement. Therefore, it is recommended that history teachers consider using infographics in their lessons to improve the quality of teaching and student learning outcomes.

Tobacco is a leading commodity that forms the foundation of the rural economy, but its cultivation faces challenges in the form of labour intensity, significant capital requirements, and farmers' lack of understanding of systematic cost structures. This study aims to analyse the production cost structure and evaluate the economic efficiency of tobacco farming managed by the Batu Daun Farmer Group in Batuan Village, Sumenep Regency. The research method used a qualitative descriptive approach with data collection through in-depth interviews with the head of the farmer group, field observations, and analysis of financial documents as secondary data. The analysis focused on identifying fixed and variable costs, as well as evaluating economic performance using the Break Even Point (BEP) and Revenue-Cost Ratio (R/C) indicators. The results showed that the total production cost was IDR 28,597,500 (fixed costs of IDR 3,450,000 and variable costs of IDR 25,147,500) for the production of 2,800 kg of tobacco with a gross income of IDR 70,000,000. The R/C ratio value of 2.44 (>1) indicates that the business is operating efficiently and profitably, while the BEP of 215.4 kg shows that actual production far exceeds the break-even point, meaning that the business is in an economically safe zone. The results of the study conclude that the tobacco farming business of the Batu Daun Farmer Group is economically viable and efficient.

This study aims to analyze the quality of services provided by education staff to students at the Faculty of Social Sciences, Puangrimaggalatung University by using a qualitative approach, through in-depth interviews and observations, this study explores students' views, experiences, and perceptions of various aspects of services provided by education staff, which include reliability, responsiveness, assurance, empathy, and physical evidence of Student Needs. The data obtained were analyzed with thematic analysis techniques to identify patterns and themes related to service quality. The results of this study show that although the majority of students are satisfied with the services received, there are several challenges that need to be considered, such as when they want to take the signature in question, and the attitude of empathy towards students is not even. This research provides important insights for the faculty to improve the quality of education staff services in order to better meet the needs and expectations of students, thereby creating a better academic experience.

Land conflict between the Sihaporas indigenous community and PT Toba Pulp Lestari (TPL) remains an ongoing agrarian issue that directly affects the community’s livelihoods. The inclusion of the company’s concession within the customary territory has changed patterns of land control and use that were previously managed collectively across generations. This situation restricts access to agricultural land and forests, reduces sources of income, and creates social tensions and confrontations. This study aims to analyze the impacts of land conflict on the Sihaporas indigenous community and to examine the conflict through a political ecology perspective with a focus on power relations among actors. Using a qualitative case study approach, data were collected through interviews, observations, and document analysis. The findings show that the conflict affects economic, social, and cultural aspects of the community and reflects unequal power relations between indigenous peoples, corporations, and the state in controlling agrarian resources.

The factors influencing lowland rice production in Padang City are the focus of this study. The study was conducted through a field survey of lowland rice farmers to obtain primary data relevant to farming activities. The analysis method used was multiple linear regression with the dependent variable being lowland rice production (Y) and independent variables including land area (X₁), seeds (X₂), fertilizer (X₃), labor (X₄), and farming experience (X₅). The research findings show that simultaneously all production factors, including land area, seeds, fertilizer, labor, and farming experience, have a significant effect on lowland rice production in Padang City. Partially, the variables of fertilizer and labor have a significant effect on lowland rice production, while land area, seeds, and farming experience have no significant effect. These findings indicate that the increase in lowland rice production in Padang City is more determined by input intensification efforts, particularly through appropriate fertilization and labor availability, compared to land expansion. As a result, agricultural policies need to be directed at increasing input efficiency to support the productivity and sustainability of rice farming.

This research is motivated by changes in students' academic communication patterns due to the rapid development of digital technology, which has the potential to affect the consistency of formal language use. In academic literacy, formal language plays a crucial role as a marker of professionalism and the accuracy of scientific communication. This study aims to analyze the shift in formal language use in students' academic communication and identify the factors influencing it in the digital era. The research method used a qualitative approach with a descriptive design. Data were collected through an online questionnaire in the form of open-ended questions to students at the University of Muhammadiyah Maumere who actively use digital media in academic communication. Data were analyzed by grouping respondents' answers and identifying language usage patterns. The results show that students understand the differences between formal and informal language, but their application in digital academic communication is not yet consistent. The shift is characterized by the use of abbreviations, slang, and inconsistencies in linguistic rules influenced by instant communication habits, social environments, and the nature of digital media. These findings emphasize the importance of continuously strengthening formal language literacy and academic communication ethics in higher education

This research is motivated by changes in students' academic communication patterns due to the rapid development of digital technology, which has the potential to affect the consistency of formal language use. In academic literacy, formal language plays a crucial role as a marker of professionalism and the accuracy of scientific communication. This study aims to analyze the shift in formal language use in students' academic communication and identify the factors influencing it in the digital era. The research method used a qualitative approach with a descriptive design. Data were collected through an online questionnaire in the form of open-ended questions to students at the University of Muhammadiyah Maumere who actively use digital media in academic communication. Data were analyzed by grouping respondents' answers and identifying language usage patterns. The results show that students understand the differences between formal and informal language, but their application in digital academic communication is not yet consistent. The shift is characterized by the use of abbreviations, slang, and inconsistencies in linguistic rules influenced by instant communication habits, social environments, and the nature of digital media. These findings emphasize the importance of continuously strengthening formal language literacy and academic communication ethics in higher education

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.

This study aims to analyze the performance of Android-based attendance applications used at PT PLN ULP West Sumba by integrating two evaluation methods, namely WebQual 4.0 and Importance Performance Analysis (IPA). This attendance application functions to monitor employee attendance digitally so that it is expected to be able to improve the efficiency and accuracy of data recording. Evaluations are conducted to assess the extent to which the application meets the needs of users as well as the expected performance. WebQual 4.0 is used to measure the quality of user experience in terms of ease of access, interactivity, trust, and satisfaction, while IPA is used to compare the level of user interest with application performance based on four main attributes: system quality, information quality, service quality, and usage quality. The research data was collected through a survey with questionnaires compiled according to WebQual 4.0 and IPA indicators, involving application users at PT PLN ULP West Sumba. The results show that the majority of users are satisfied with the ease of use and performance of the application, but there are aspects that need to be improved, especially the speed of the system and a more user-friendly interface design. The science analysis emphasizes that the quality of systems and information is a crucial factor that must be a priority for development. This research provides strategic recommendations for PT PLN ULP West Sumba to improve the performance of the attendance application and support the company's operational needs in a sustainable manner.

This study aims to analyze the application of personnel management information systems at the West Sumba Regency Personnel and Human Resources Development Agency (BKPSDM). The main focus of the research is to assess how an integrated information system is able to produce up-to-date, accurate, and can support the decision-making process in personnel policy. An integrated information system is expected to facilitate employee data management, improve administrative efficiency, and strengthen transparency in human resource management. The research method uses a qualitative approach with case studies, through interviews with relevant officials, direct observation, and analysis of relevant documents. The results of the study show that the implementation of an integrated personnel management information system has a positive impact in the form of accelerating administrative processes, reducing data input errors, and facilitating access to information for interested parties. However, the research also found a number of challenges, such as the limitation of human resources trained in the use of technology systems and infrastructure that is not yet optimal. This study concludes that strengthening human resource capacity and increasing infrastructure support is a strategic step to optimize the personnel management information system. The research recommendations are expected to be a reference for the West Sumba Regency BKPSDM and other government agencies in developing a more effective and sustainable information system.

Customer churn is a strategic challenge for digital streaming platforms because it directly Impacts revenue and business sustainability. This study aims to analyze the factors influencing customer Churn and develop a churn prediction model using the Random Forest algorithm. The study uses a Quantitative approach with an explanatory design and utilizes secondary data from the Netflix Customer Churn and Engagement Dataset available on Kaggle. The dataset consists of 1,000 customer data with 16 Variables covering demographic characteristics, service usage behavior, financial condition, and customer Satisfaction level. The data was processed through preprocessing, one-hot encoding, and a 70:30 split Between training and test data. Model performance was evaluated using accuracy, precision, recall, F1 Score, and ROC-AUC metrics. The results show that the Random Forest model produces an accuracy of 53.7%, precision of 56.3%, recall of 63.6%, F1-score of 59.7%, and ROC-AUC of 0.534, indicating Moderate predictive ability and only slightly better than random classification. Feature importanceAn.evealed that user engagement levels, such as viewing duration and frequency of interactions, Were the most dominant factors influencing churn, followed by economic factors and customer satisfaction. The results of this study are expected to provide a basis for streaming platforms to design more effective Customer retention strategies.

The rapid development of digital technology has led to an increased adoption of digital payment methods in online transaction-based businesses. However, in practice, failures and limitations in the implementation of digital payment systems still occur, potentially disrupting transaction processes and reducing customer convenience. Payment related obstacles may result in transaction cancellations and increase the risk of customer churn. This study aims to analyze the impact of failures and limitations in digital payment methods on customer churn using a classification-based approach. The data used in this research are secondary e-commerce customer data obtained from the Kaggle platform, including transaction information, payment methods, customer behavior, and historical transaction records. The research methodology consists of data preprocessing, time-based feature engineering, and classification modeling using logistic regression, decision tree, and random forest algorithms. Model performance is evaluated using accuracy, precision, recall, F1-score, and confusion matrix metrics. The results indicate that the decision tree model demonstrates superior capability in identifying churn customers compared to the other models, although it does not always achieve the highest accuracy. In addition to digital payment methods, other factors such as purchase value, transaction frequency, purchase timing patterns, and product return rates also influence customer churn. The findings highlight the importance of optimizing digital payment systems as part of customer experience enhancement strategies and customer retention efforts in online transaction–based businesses.

The rapid development of social media has made fashion brands, especially modest fashion, increasingly collaborate with influencers to increase brand awareness. This study discusses the role of influencer credibility in increasing brand awareness of the brand @zaskiasungkarjakarta through Instagram content. The method used a case study with a qualitative approach. Data was collected through interviews and documentation, then analyzed through the stages of data reduction, presentation, and drawing conclusions. The results show that influencer credibility plays a significant role in maintaining brand awareness. There are three main dimensions that are visible: expertise, trustworthiness, and attractiveness. Trustworthiness is evident from the honesty and consistency of influencers when showing or reviewing products. Meanwhile, attractiveness arises from the match between the influencer's lifestyle and image with the brand, making the audience feel more relatable and trusting. Overall, influencer credibility helps increase brand awareness from the brand recognition stage (people start to recognize), brand recall (people can remember again), until the brand finally becomes top of mind in the minds of the audience.

Auditors' compliance with the Public Accountant Professional Standards (SPAP) is the main concern in maintaining the quality and trust of the audit process, especially in the face of increasingly complicated audit tasks. This study aims to evaluate the level of integ-rity and skepticism of auditors in supporting compliance with SPAP. This study uses a de-scriptive qualitative approach with observation methods and document studies. The object of the research is the Public Accounting Firm Dra. Yati Ruhiyati, data was obtained from direct observation during the field professional practice period and analysis of relevant audit documents. The results of the study show that the integrity of auditors can be seen from consistency in carrying out audit stages, compliance with established procedures, and clarity in audit documents. The professional skepticism of auditors can be seen from the cautious attitude in evaluating audit evidence, including the application of additional checks before drawing conclusions. These findings show that compliance with SPAP is not only formal, but also highly dependent on the auditor's professional attitude. This study shows the importance of increasing the integrity and professional skepticism of auditors as part of efforts to improve quality and compliance in audit practices in Public Accounting Firms.

This study aims to analyze the application of occupational safety and health in the Special Vehicle Division of PT Pindad using hazar indentification, risk assessment, and risk control methods. The focus of the research is to identify potential hazards, assess the level of risk, and evaluate risk control efforts in the production process of the Special Vehicle Division. The research method used is descriptive with a quantitative approach. The data used in this study was obtained from the results of interviews and direct observations at the company. The results of this study show that there are 5 activities that are identified as causing potential danger, and the risk rating is determined, namely the first activity has a medium risk value, the second activity has a low risk value, the third activity has a negligible risk value, the fourth activity has a high risk value, and the fifth activity has a medium risk value, as well as administrative control efforts, technical control, and PPE control.

This study aims to analyze the effect of digital marketing on firm value and to examine the mediating role of profitability. The research employs a quantitative approach with an explanatory research design. The sample consists of six cosmetic companies listed on the Indonesia Stock Exchange (IDX) during the 2021–2024 period, selected using purposive sampling based on data availability. The analytical technique used is Structural Equation Modeling with the Partial Least Squares approach (SEM-PLS) using SmartPLS 4. The study utilizes secondary data obtained from the companies’ annual financial reports. The results indicate that digital marketing has a positive and significant effect on firm value. Digital marketing also shows a positive effect on profitability; however, this effect is not statistically significant. Meanwhile, profitability has a positive and significant effect on firm value. The indirect effect test yields a coefficient (O) of 0.239, a t-statistic of 1.914, and a p-value of 0.056, indicating that profitability does not mediate the relationship between digital marketing and firm value. These findings suggest that digital marketing strategies have a more dominant direct effect on enhancing firm value than an indirect effect through profitability.