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The management of kWh meter replacement data at PLN ULP Ampera Palembang is still largely handled through manual recording, which often causes data inconsistencies and delays in monitoring activities. This study aims to design an information system that supports the monitoring of kWh meter replacement data based on actual user needs. The research applies a descriptive qualitative method using the User Centered Design (UCD) approach, where users are actively involved throughout the design process. The stages include understanding the work context, identifying user requirements, developing system design solutions, and evaluating the proposed design. The outcome of this research is a kWh meter data monitoring system design that is expected to facilitate data management, improve accuracy, and support more efficient monitoring processes.

This study aims to examine the role of Computer-Assisted Audit Techniques (CAATs) in evaluating internal control within accounting information systems (AIS) to detect fraud in the expenditure cycle. The research employs a literature review method by analyzing five relevant studies selected based on publication criteria within the last ten years and a focus on technology-based auditing, internal control, and fraud. The findings indicate that CAATs, through features such as test data and parallel simulation, are effective in identifying system weaknesses, detecting transaction anomalies, and strengthening controls in the expenditure cycle. Fraud in this cycle is commonly caused by weak authorization, incomplete documentation, and expenditures conducted without proper procedures. CAATs address these challenges through data-driven and automated audit approaches. In conclusion, CAATs represent a strategic solution for enhancing monitoring accuracy, preventing fraud, and supporting organizational transparency and accountability in the digital era.

Language is a means of communication between individuals and groups to convey ideas, concepts, or insights. Language can be expressed orally or in writing. Spoken language is temporary or contemporary, while written language is permanent. Spoken language is delivered without an intermediary media, whereas writing serves as an academic archive to ensure that the conveyed insights are preserved. Therefore, writing is done, for example, in encyclopedias, which contain collections of information about science, knowledge, history, arts, technology, and others in a broad and easily understandable manner. Writing books is very important in delivering accurate and easily understood information, so the use of language must adhere to linguistic rules. However, errors are often found that can disrupt clarity and accuracy of information. This research aims to identify types of sentence errors in the encyclopedia book titled “Islamic Kingdoms in Indonesia.” The study examines the use of language in accordance with linguistic rules using a qualitative method and a descriptive approach, analyzing data from various chapters in the book in depth. The results show errors in sentence structure, punctuation, and incorrect terminology, which can reduce the quality of the information. The benefit of this research is to provide recommendations for writers and publishers to improve the encyclopedia so that it becomes more informative and easier to understand, as well as to enhance the quality of scholarly works in the field of historiography.

This study discusses clause structures in online news articles published by Detik.com, highlighting the issue of UNNES student Iko Juliant Junior in September 2025. The background of this research lies in the importance of understanding how digital media utilize language structures to convey information effectively, concisely, and objectively. In the context of online journalism, the selection and arrangement of clauses play a crucial role in shaping clarity, focus, and meaning as perceived by readers. The purpose of this study is to describe the forms and types of clauses used in news texts and to explain their functions in maintaining the accuracy and credibility of information delivery. The research employs a qualitative descriptive method with a focus on syntactic studies. The data consist of clauses found in Detik.com news articles published in September 2025, analyzed based on their syntactic components: subject, predicate, object, complement, and adverbial. The findings show that the clause patterns of Subject–Predicate (S–P) and Subject–Predicate–Object (S–P–O) are the most dominant, with verbal predicates appearing most frequently. These patterns reflect the efficient, factual, and easily understood style of online journalistic language. This study contributes to the development of syntactic research and serves as a practical reference for journalists and readers in understanding effective language use in digital media.

Open-pit mining activities in Indonesia contribute significantly to the national economy but require stringent monitoring to mitigate environmental degradation. Conventional monitoring methods relying on terrestrial surveys are often constrained by vast coverage areas, high operational costs, and limited field accessibility. This study aims to develop an artificial intelligence model capable of automatically detecting and mapping mining areas to enhance surveillance efficiency. The applied method is Deep Semantic Segmentation utilizing the U-Net Convolutional Neural Network (CNN) architecture. The model was trained using Sentinel-2 satellite imagery, focusing exclusively on Red, Green, and Blue (RGB) spectral channels to replicate human visual perception. Experimental results demonstrate that the proposed model performs reliable segmentation of mining areas, achieving an Accuracy of 93.58% and a Global Intersection over Union (IoU) of 0.8067. These findings indicate that the U-Net architecture can effectively extract spatial features of mines even when utilizing standard visual data. This research contributes to the development of an efficient, cost-effective, and scalable digital monitoring prototype to support innovation in sustainable environmental governance.

The ability to read the Qur’an is a fundamental competence in Islamic education. However, many children still face difficulties in reading the Qur’an accurately and fluently in accordance with tajwid rules. This community service program (Pengabdian kepada Masyarakat/PKM) aimed to improve Qur’anic reading skills of students at Asy-Syakirin Qur’anic Learning Center (TPQ) in Nibung Village, Kapuas Hulu Regency, West Kalimantan. The program employed a Participatory Action Research (PAR) approach, actively involving teachers and students in all stages of the activities. The implementation consisted of planning, action, observation, and reflection stages. During the planning phase, students’ initial reading abilities were identified and grouped into basic (iqra’) and advanced (tahsin) levels, appropriate learning methods were selected, and supporting learning media were prepared. The action phase involved individual and small-group mentoring, guided Qur’an reading with direct correction of pronunciation (makharij al-huruf) and tajwid, application of memorization and dictation (imla’) techniques, and varied teaching approaches through instructor rotation. Evaluation was conducted through pre-tests and post-tests, direct observation of students’ reading performance, and assessment of participation and attendance. The results indicate a significant improvement in students’ Qur’anic reading skills, particularly in fluency, accuracy of pronunciation, and basic understanding of tajwid. This program is expected to serve as a sustainable model for improving Qur’anic literacy in Qur’anic learning institutions.

This study aims to strengthen students’ networking competencies through the implementation of straight and cross LAN cable assembly training at SMKN 53 Jakarta. The background of this research is based on the need to enhance students’ practical skills in basic computer networking, particularly in understanding cable configurations and applying crimping techniques according to industry standards. Many students experience difficulties in differentiating wiring standards and applying correct crimping procedures, which impacts their readiness for industry practice. This research employed a practical training approach combined with demonstration and hands-on methods. The participants were students of the Computer and Network Engineering program. Data were collected through observation, performance assessment, and competency tests before and after the implementation. The findings indicate a significant improvement in students’ understanding of cable color standards (T568A and T568B), accuracy in assembling straight and cross cables, and testing results using LAN testers. Students demonstrated higher levels of technical accuracy, problem-solving skills, and work discipline after the intervention. The implementation of structured practical activities proved effective as a medium for strengthening networking competencies. The study implies that continuous practice-based learning aligned with industry standards is essential in vocational education to improve students’ technical readiness and employability in the networking field.

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

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.

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 role of accounting in supporting the smooth execution of management tasks is very prominent, particularly in the planning and control functions. Accounting is able to provide financial information that is presented in the form of financial statements. Financial statements are considered fairly presented when they are prepared in accordance with the provisions of PSAK; the characteristics of such financial statements must be understandable, relevant, reliable, and comparable. In the preparation of financial statements, there are rules for recording transactions, which are known as the double-entry bookkeeping system. This system is commonly and widely used in the preparation of financial statements. However, financial statements in restaurant businesses in the city of Surabaya are prepared using a single-entry bookkeeping system. Theoretically, when financial statements are prepared using a single-entry system and the existing records do not show a complete summary of transactions, many specific difficulties will be encountered in preparing accurate financial statements. In addition, there is no direct way to determine whether the balances are correct, thus posing the risk of bias, inaccuracy, and misinterpretation, resulting in financial statements that do not comply with financial accounting standards. This condition motivated the author to conduct research on restaurant businesses in the city of Surabaya. In this study, the researcher restated the financial statements of restaurant businesses in Surabaya for the years 2023, 2024, and 2025 using the double-entry system, and presented them in accordance with the provisions of PSAK No. 1 concerning the Presentation of Financial Statements. 

Education is a conscious and planned effort to develop individual potential in order to create qualified human resources. Therefore, to achieve this goal effectively, strong management, good coordination, and solid solidarity among all educational elements are necessary. Solidarity among educators plays an important role in supporting the implementation of educational programs and achieving institutional goals. This study aims to determine the principal's methods and strategies for increasing solidarity among educators in the school environment. This study employed a qualitative research method, with data obtained through observation, in-depth interviews, and documentation related to school activities. The validity of the data was ensured using triangulation techniques to maintain accuracy and credibility. The results show that educator solidarity at SMPIQu Al-Bahjah is implemented through routine deliberations, structured morning briefings, and regular weekly evaluations involving all educators. These activities are consistently carried out as a collective effort to achieve the school’s vision and mission. The implications of this research are expected to provide practical benefits for educational institutions in strengthening educator solidarity. In addition, this research can serve as a reference for other academics in developing and applying Emile Durkheim's structural-functional theory within educational management contexts.

The development of automation and robotics technology has driven innovation in various industrial fields, particularly in automatic sorting systems. Manual sorting processes often lead to inefficiencies and human errors, creating the need for an automatic, fast, and accurate system. This research employs a qualitative method which includes experimentation, testing, and system documentation. The system is designed as a robotic arm for sorting objects based on color, utilizing a TCS3200 color sensor and an ESP32 microcontroller. An ultrasonic sensor detects the presence of objects, while the sorting results are displayed through a real-time web monitoring system. The test results show that the prototype successfully sorts four primary colors (red, green, blue, and yellow) with a high level of accuracy. This research is expected to serve as a reference for the development of automation systems and robotics learning tools in both educational and industrial applications. In addition, this research also contributes to the development of technology that can increase efficiency and accuracy in industrial production processes and provide more environmentally friendly solutions by reducing the need for manual labor.

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.

International student enrollment is a critical driver of financial sustainability for Higher Education Institutions (HEIs). While advanced forecasting is standard in the corporate sector, its application in educational planning remains limited. This study addresses this gap by comparing the predictive performance of ARIMA, Facebook Prophet, and Long Short-Term Memory (LSTM) models. Using a publicly available annual dataset from a US-based institution (2000–2022), the analysis employed a strategic partition training on 2000–2017 and testing on 2018–2019 to validate models on stable, pre-pandemic data. Empirical results revealed that the statistical ARIMA (2,1,0) model demonstrated superior accuracy, achieving a Mean Absolute Percentage Error (MAPE) of 1.26%. Conversely, Prophet (11.81%) and LSTM (13.84%) struggled with the limited sample size, failing to generalize effectively compared to the linear approach. The findings suggest that for annual enrollment trends, parsimonious statistical models outperform complex deep learning architectures, providing administrators with a robust, accessible framework for data-driven strategic decision-making.

Background: Accurate detection of renal cysts on CT urography requires high diagnostic precision, while manual interpretation by radiologists is susceptible to inter-observer variability and potential delays in clinical decision-making. These challenges underscore the need for a reliable automated detection system to support radiological assessment. Objective: This study aims to develop and evaluate the performance of the Neo-ZasAI application based on the YOLOv8 algorithm for the automatic identification of renal cysts. Methods: Employing a Research and Development design using the ADDIE model, the study encompassed needs analysis, model design, software development, system implementation using 200 CT urography images, and diagnostic performance evaluation. Classification results generated by Neo-ZasAI were compared with radiologist readings through confusion matrix analysis and ROC–AUC assessment. Results: The findings indicate that Neo-ZasAI achieved an accuracy of 97,5%, sensitivity of 96%, specificity of 99%, positive predictive value of 98,9%, and negative predictive value of 96,1%. The ROC analysis yielded an AUC of 0.988 (p < 0.001), demonstrating excellent discriminative capability and high concordance with radiologist interpretations as the diagnostic gold standard. Conclusion: These results suggest that Neo-ZasAI is capable of performing rapid, consistent, and accurate renal cyst detection and is thus feasible for implementation as a clinical decision support system in radiology, with potential integration into PACS workflows and further development to enhance model generalizability.

Beginner students often face difficulties in academic writing, such as organizing ideas, choosing correct grammar, and expressing information in their own words. Because of this, many students use QuillBot as a writing support tool. This study aims to understand how QuillBot helps beginner writers become more independent in academic writing. The research used a mixed-method approach with 30 students from the English Language and Literature Department at the State University of Medan, with data collected through a Likert-scale questionnaire and open-ended reflections. The findings show that more than 70% of the students use QuillBot frequently in their writing tasks. Most students said that QuillBot helps improve grammar accuracy, sentence clarity, and paraphrasing skills, and also increases their confidence in writing. The summarizing feature also helps students identify and restate main ideas. However, 59% of the students noted that using QuillBot too much may reduce creativity and lead to dependency. The study concludes that QuillBot is helpful as a supporting tool for writing, but it should be used in balance. Students still need to practice writing independently so they can develop their own writing style and confidence.

Beginner students often face difficulties in academic writing, such as organizing ideas, choosing correct grammar, and expressing information in their own words. Because of this, many students use QuillBot as a writing support tool. This study aims to understand how QuillBot helps beginner writers become more independent in academic writing. The research used a mixed-method approach with 30 students from the English Language and Literature Department at the State University of Medan, with data collected through a Likert-scale questionnaire and open-ended reflections. The findings show that more than 70% of the students use QuillBot frequently in their writing tasks. Most students said that QuillBot helps improve grammar accuracy, sentence clarity, and paraphrasing skills, and also increases their confidence in writing. The summarizing feature also helps students identify and restate main ideas. However, 59% of the students noted that using QuillBot too much may reduce creativity and lead to dependency. The study concludes that QuillBot is helpful as a supporting tool for writing, but it should be used in balance. Students still need to practice writing independently so they can develop their own writing style and confidence.

This community service program aimed to implement the ESB Point of Sales (POS) application as a tool for financial digitalization at The Houseplants Coffee, an MSME located on Bengawan Street No. 16, Bandung City. The main problems faced by the partner included manual transaction recording, limited sales information, and weak control over inventory and cash flow. A Participatory Action Research approach was applied by involving the owner and staff in all stages of the program, including problem identification, planning, implementation, mentoring, and evaluation. The results indicate improved transaction recording accuracy, better inventory monitoring, and the availability of digital-based sales reports. The mentoring process also led to changes in work behavior, the establishment of new technology-based practices, and the emergence of a local leader supporting system sustainability. These findings demonstrate that integrating POS technology with a participatory approach effectively promotes sustainable digital transformation in MSMEs.