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Diabetes Mellitus is a group of metabolic diseases characterized by hyperglycemia resulting from defects in insulin secretion, insulin action or both. Hyperglycemia is a medical condition in the form of an increase in glucose levels beyond normal limits which is a characteristic of several diseases, especially Diabetes Mellitus, in addition to various other conditions. Diabetes Mellitus is currently a global health threat. Classification is one of the techniques of data mining that can be used to help predict the results of the classification of types of diabetes using the naïve Bayes algorithm. Testing was carried out using 5 evaluation models including rapid miner with 3 options, namely use training set, 5 Fold Cross-Validation, 10 Fold Cross-Validation, and 2 other evaluation models, namely Microsoft Excel and Python. Testing data regarding Diabetes Mellitus has high accuracy in the excel evaluation model, which is 89.00% compared to other evaluation models. Meanwhile, the lowest accuracy is the Python evaluation model which obtains an accuracy of 86.36%. The Naïve Bayes algorithm can be said to be one of the most effective algorithms, both in terms of calculations and the final results, where the test can be used as a basis for diabetes mellitus considering the accuracy results are above 85%.

This study aims to examine the implementation of audit procedures on accounts payable at PT XYZ by KAP Ramli & Rekan, with a focus on compliance with Auditing Standards and effectiveness in detecting material misstatements. Accounts payable are a key component of financial statements representing the company’s obligations to suppliers, requiring accurate presentation for assessing liquidity and capital structure. The study applies a descriptive qualitative method, collecting primary data through interviews with audit staff at KAP Ramli & Rekan and secondary data from relevant literature. The findings show that the audit procedures comply with professional standards, covering comprehensive stages including engagement acceptance, audit planning, risk and materiality assessment, and substantive testing. The planning process incorporates the COSO framework for evaluating internal control, establishes audit objectives based on the five management assertions, and utilizes ATLAS software and Microsoft Excel. KAP Ramli & Rekan apply control testing and substantive procedures, including external confirmations, inspection of supporting documents, review of aging payables, and subsequent payment testing. Risk assessment indicates low inherent and control risks, while detection risk is mitigated through substantive procedures. Overall Materiality is set at 60% of revenue and profit before tax, Performance Materiality at 3% of Overall Materiality, and Threshold Materiality at 3% of Performance Materiality. The study concludes that the audit procedures implemented by KAP Ramli & Rekan align with applicable Auditing Standards and are effective in addressing audit risks related to accounts payable. The implications highlight the importance of enhancing audit quality practices, particularly the effectiveness of planning and internal control evaluation in accounts payable audits.

Adolescence represents a transitional phase characterized by complex biological, psychological, and social changes, during which insufficient understanding of reproductive health can lead to risky behaviors such as premarital sexual activity, unintended pregnancy, and sexually transmitted infections (STIs). The purpose of the activity titled “Reproductive Health Knowledge Socialization among Adolescents at SMAN 37 Central Maluku in 2025” was to enhance adolescents’ knowledge and awareness regarding reproductive health. This community service program employed a cross-sectional design and involved 54 students from grades X to XII, selected purposively. Data were collected through online pre-tests and post-tests using Google Forms, and the results were analyzed with Microsoft Excel to evaluate changes in participants’ knowledge levels. The findings revealed a notable increase in the average knowledge score from 76% to 89.8%, with the most significant improvements observed in aspects related to reproductive hygiene and understanding of STI risks. The activity proved effective in improving adolescents’ reproductive health literacy and strengthening their awareness of responsible reproductive behavior. Therefore, face-to-face interactive socialization serves as a strategic approach to reinforce healthy understanding and behavior among adolescents in archipelagic regions. Moreover, it can be adopted as a model for developing sustainable health education programs in schools across Eastern Indonesia.

This community service activity was motivated by the still low ability of business owners to maintain financial records and digital promotions. Pak Joko Chicken Slaughterhouse is one of the MSMEs experiencing challenges in financial management due to its manual system and lack of use of digital media for business promotion. The objective of this activity was to improve managerial capacity through Microsoft Excel-based digital bookkeeping training and online marketing training with Google Maps and Instagram. The method used was a participatory approach through three stages of activities: field surveys, training, and evaluation of results. The results of the activity showed an increase in partners' understanding and skills in maintaining more structured and accurate financial records using Excel. Partners also succeeded in creating business profiles on Google Maps and business Instagram accounts used to promote products digitally. The tangible impact of this activity is increased awareness of the importance of financial records and digital promotions, as well as increased business competitiveness. In conclusion, digital bookkeeping and digital marketing training has proven effective in driving the transformation of traditional businesses to modern, technology-based management.

The digital era requires companies to adapt to modern, efficient, and accurate taxation systems. This study aims to analyze the implementation of an integrated system to optimize tax administration processes in a port service company in Indonesia. The focus of this research is to examine how the integration of systems such as SAP, Coretax, Microsoft Excel, and digital banking platforms is utilized to manage Income Tax Article 23 (PPh 23), Value Added Tax (VAT), and the tax reimbursement process. This study employs a qualitative approach with a descriptive case study design, conducted through participatory observation, document analysis, and informal interviews with employees directly involved in tax administration. The results indicate that the integrated system positively impacts the efficiency, consistency, and reliability of tax administration processes. It helps streamline workflows and accelerate tax reporting, particularly in managing PPh 23 and VAT. However, weaknesses remain in the manual data recap stage using Microsoft Excel, which is prone to human error due to the absence of automatic validation mechanisms. Therefore, this study recommends developing a standardized Excel template equipped with automatic validation features and providing training for staff to enhance data accuracy and administrative effectiveness. These findings are expected to serve as a practical reference for other companies in implementing an integrated taxation system that is optimal and sustainable, as well as encouraging increased efficiency and compliance with tax administration in the corporate environment.

The purpose of this study is to evaluate the preparation of foundation financial statements by KJA XYZ using automatic Microsoft Excel and assess its compliance with ISAK 335. This research employs a qualitative descriptive approach, utilizing observation, interviews, and documentation as data collection techniques. The analysis was carried out descriptively, by presenting the results of data management in narrative form. The results of the study indicate that the preparation of foundation financial statements by KJA XYZ using Microsoft Excel is in accordance with ISAK 335, which includes financial position statements, comprehensive income statements, net asset change statements, cash flow statements, and notes to the financial statements. The use of Microsoft Excel has been proven to simplify and increase the accuracy of recording.

This study addresses the inefficiencies in the manual student payment administration system currently used at SMK Bina Insan Nusantara, which relies on handwritten ledgers and Microsoft Excel spreadsheets, leading to frequent data errors, delayed reporting, and difficulties in retrieving payment records. The research aims to design a web-based information system to streamline the recording, monitoring, and reporting of student payments. A descriptive research approach was employed, with data collected through direct observation, semi-structured interviews with administrative staff, and literature review. System analysis was conducted using the PIECES framework, and system design followed the Unified Modeling Language (UML) methodology. The proposed system features user authentication, student data management, real-time payment input, digital receipt generation, and automated reporting (daily, monthly, and yearly). Black-box testing confirmed that the system functions as intended, validating inputs, processing transactions accurately, and generating reliable outputs. Findings indicate that the web-based system significantly improves data accuracy, operational efficiency, accessibility, and service quality compared to the existing manual process. The implementation of this system enables school administrators to manage payments more effectively, provides students and parents with timely access to payment information, and supports faster, data-driven decision-making by school leadership and the foundation. Future enhancements could include mobile integration and online payment gateways.

This research aims to analyze the implementation of the Accurate accounting system in the cash transaction recording process at PT XYZ, a cement distributor company focused in eastern Indonesia, particularly in East Nusa Tenggara. Along with business growth, the company transitioned from manual recording using Microsoft Excel to a computerized system to enhance efficiency and accuracy. This study employs a descriptive qualitative method with data collection techniques through interviews, observations, and documentation. The analysis focuses on comparing processes before and after the use of Accurate, its contribution to efficiency, and the challenges faced during implementation. The research results show that the Accurate system significantly improves efficiency by automating journal processes, minimizing human error, and presenting financial data in real-time and structured formats. However, challenges related to discipline in timely transaction input were found, causing discrepancies between system balances and bank statements. The solution to these challenges is to improve the finance team's discipline in performing daily data input.

This study aims to analyze the effect of using multi-platform accounting on the timeliness and accuracy of financial reporting at PT XYZ, a service company engaged in the distribution of cement. In carrying out its operations, this company uses three different types of accounting applications in the financial recording process, namely Microsoft Excel, Accurate and Semenku. This study uses a descriptive qualitative research method and data collection through observation. The results of the study indicate that the use of multiple platforms simultaneously can cause data inconsistencies and slow down the financial reporting process, but on the other hand it also provides flexibility in recording transactions. Therefore, system integration or evaluation of platform use is needed to improve the efficiency and accuracy of financial reporting.

Clinical practice is a crucial stage in nursing education that requires students to apply theoretical knowledge in real healthcare settings. The transition to a clinical environment often triggers anxiety, as students face competency demands, professional responsibilities, and direct interactions with patients. This study aims to determine the anxiety levels of fifth-semester nursing students prior to clinical practice at Universitas Muhammadiyah Semarang. A descriptive quantitative design was employed with a sample of 35 students selected using a simple random sampling technique. Data were collected using the Hamilton Anxiety Rating Scale (HARS) and analyzed descriptively with Microsoft Excel to obtain frequency and percentage distributions. The results showed that most students experienced severe anxiety (31%), followed by moderate (29%), mild (23%), no anxiety (14%), and panic-level anxiety (3%). These findings indicate that the majority of nursing students experience anxiety before clinical practice, predominantly at severe and moderate levels. Therefore, psychological support and mental preparation programs are essential to help students transition optimally into the clinical environment.

The selection process for prospective cadets at a maritime college is routinely carried out every year. In the current system, the processing and calculation of prospective cadet scores uses Microsoft Excel tools, but this takes a long time and can lead to errors in the calculation of scores and the recapitulation of selection results. In addition, unintegrated data can lead to data duplication, resulting in inaccurate selection results that can be detrimental to prospective cadets. A fast, precise, and accurate integrated decision support system is needed to support the selection process for prospective cadets. The author conducted a study on the prospective cadet admission system at UNIMAR AMNI Semarang using the Multi-Objective Optimization On The Basis Of Ratio Analysis (MOORA) method to assist in the selection of qualified prospective cadets who meet the established criteria. With this decision support system using the Multi-Objective Optimization On The Basis Of Ratio Analysis (MOORA) method, it can be used to solve the selection problem for prospective cadets because it has a short calculation time, is simple, transparent, and has high flexibility. This system will be built using the Codeigniter Framework and a MySQL database.

Anxiety disorders are common mental health problems in society, often unrecognized by the sufferer. Identifying the type of anxiety disorder and its influencing factors is crucial for proper treatment. This research aims to apply the K-Nearest Neighbor (K-NN) method in identifying types of anxiety disorders based on influencing factors, focusing on patient data from Sylvani Hospital, Binjai. The K-NN method was chosen because of its ability to classify based on data proximity. This study used medical record data of patients with anxiety disorders, which were processed using MATLAB and Microsoft Excel software. The results show that the K-NN method is effective in identifying types of anxiety disorders, with a high level of accuracy, especially in the identification of Panic Disorder (K05) and Social Anxiety Disorder (K03). The use of MATLAB simplified the identification process by automating results, while data processing in Excel improved classification accuracy. This study concludes that the K-NN method can be an effective alternative in identifying anxiety disorder types based on the factors that influence them. It is recommended for future research to involve more variables and mental health experts for a more comprehensive validation of the results.

This study aims to design and develop a web-based Asset and Goods Management Information System (SIPAB) implemented at Universitas STEKOM, Kendal Campus. The primary issue in asset management at this institution lies in the continued use of conventional tools such as Microsoft Excel and Word, which are prone to errors and inefficiency in reporting and monitoring. The research method used is Research and Development (R&D) with the Waterfall development model. Data collection techniques include observation, interviews, and literature study. The result of this research is a web-based system comprising modules for asset data, maintenance, disposal, and reports accessible internally. The system is expected to improve the efficiency, accuracy, and security of campus asset management.

This study aims to determine the role of work motivation in mediating the influence of work environment and job satisfaction on employee performance of pt nusantara electric. The research method used is descriptive quantitative using a questionnaire. The data analysis technique used in this research is Path Analysis with the Structural Equation Modeling-Partial Least Square approach. Sampling in this study using saturated sampling technique, with a sample size of 58 employees. Data were collected through a questionnaire with a Likert scale which was processed using Microsoft Excel 2016 software and SmartPLS version 4.1.1.2. The results of this study indicate that work environment variables have no significant effect on employee performance. Job satisfaction variables have a positive and significant effect on employee performance. Work environment variables and job satisfaction have a positive and significant effect on work motivation. Work motivation variables have a positive and significant effect on employee performance. Work motivation variables are not able to mediate the effect of work environment on employee performance. Work motivation variables are able to mediate the effect of job satisfaction on employee performance.

The large number of fashion brands in Indonesia opens up opportunities for competition to create purchasing decisions. In the competitive world of fashion clothing, product quality and differentiation are the main keys in influencing consumer purchasing decisions. Kalula.Outfit must face pressure from GBS_Clothes and Maryam Outlet which offer more exclusive and innovative designs. This study aims to determine the Promotion, Location, and Service Quality Partially and Simultaneously on Purchasing Decisions of Kalula.Outfit consumers in West Jakarta. This type of research is quantitative. The technique for determining the population uses non-probability sampling. The population in this study is not known with certainty. Sampling uses the lemeshow formula. The sample used in this study was 97 respondents, with the accidental sampling questionnaire distribution method. In this study, the data were analyzed using the SPSS version 25 program and Microsoft Excel 2019. The results show that Promotion, Location, and Service Quality partially and simultaneously influence purchasing decisions.

PT Intelix, a technology and information company with numerous collaborative projects, faces challenges in effective project management and monitoring. Despite utilizing project management applications like Jira, the generation of final reports often remains a manual process using Microsoft Excel, which is time-consuming and prone to errors. To address these issues, PT Intelix developed an internal Project Management application, yet it required further enhancements in its dashboard and reporting features for more detailed project monitoring optimization. This research aims to develop the Dashboard menu by adding a priority project table and several sub-menus in the Report menu to accelerate and simplify the preparation of final project reports. The development methodology employed is Agile Kanban, encompassing planning, system and interface design, incremental development and implementation, and testing. System functionality testing was conducted using Black Box Testing and User Acceptance Test (UAT) involving the project owner and end-users from PT Intelix. Test results showed all main functions running smoothly and stably, with all black box scenarios passing. UAT testing on six menus received a "very good" response from the project owner and users. The SUS evaluation of three users scored a 5 on the scale, with several scoring a 4, indicating a good system. Performance testing with 10 simultaneous users also demonstrated stable traffic and no errors.. The development of High Priority Project, Milestone Project, and Implementation Project features on the Dashboard successfully presented more detailed project information, while the addition of sub-menus in the Report accelerated report generation. Thus, this development successfully optimized integrated project monitoring and reporting at PT Intelix, reducing manual effort and enhancing data accuracy for decision-making.

The level of anxiety during competition needs to be considered because it can interfere with the athlete's focus, cause difficulty in controlling movements, reduce the quality of the game, and hinder the application of strategies, which overall has a negative impact on athlete performance. This study was motivated by the observation of researchers who found that there were still many athletes experiencing symptoms of anxiety, such as cold sweaty hands and nausea. The research method used was a survey with Nyak Amir's Sport Anxiety Scale (SAS) questionnaire consisting of 22 statement items. The subjects of this study were 20 athletes who had met the criteria and were analyzed using descriptive statistics with Microsoft Excel and SPSS. The results of the research on the anxiety of Dukati Taekwondo Club athletes before the match were in the “rather low” category with an average score of 41.25. However, if analyzed further based on aspects of anxiety, there are differences in anxiety levels in each aspect. The somatic aspect has the highest anxiety with a score of 15.5, showing physical symptoms such as heart palpitations and body trembling. Motor aspects with a score of 14.75, affective with a score of 5.45, and cognitive 5.55 were mostly in the moderate category, reflecting muscle tension, feelings of anxiety, and negative thoughts before competing.  

The development of information technology has accelerated digitization in various sectors, including in the decision-making process. In the DayTrans Shuttle service, the selection of the best route is still done manually using Microsoft Excel. This process is time-consuming, inefficient, and has the potential to cause errors and subjectivity. The purpose of this study is to design and develop a web-based decision support system by applying the Weighted Product (WP) method to determine the most optimal shuttle route objectively and efficiently. The research data was obtained through interviews, observations, and literature studies, then analyzed according to system requirements. The development was carried out through the stages of requirements analysis, database and interface design, implementation, and testing. The developed system is equipped with features for managing criteria data, alternative routes, weight calculations, and real-time presentation of recommendation results. The research results show that the system functions well, is able to speed up the route selection process, and produces accurate and transparent recommendations. Thus, this system is expected to improve DayTrans' operational efficiency while supporting the quality of inter-city transportation services.

This study aims to determine the effect of financial stability, external pressure, and auditor change on financial statement fraud in companies in the Apparel & Luxury Subsector, 2020-2024. The sample in this study was 14 companies in the Apparel & Luxury Subsector, covering the period 2020-2024. Data were obtained from company financial reports and then processed using Microsoft Excel 2018 and SPSS version 25. The research method used was multiple linear regression. The results of this study indicate that financial stability significantly influences financial statement fraud, external pressure significantly influences financial statement fraud, and auditor change significantly influences financial statement fraud.

Labor-intensive garment industries are experiencing significant employment challenges in the post-pandemic era, which has direct implications for the achievement of organizational objectives. This study was conducted to examine the effects of work-life balance, workload, and job stress on turnover intention among employees of PT 3Di Garmentech in West Jakarta. The research employed a quantitative approach with a sample of 70 respondents, selected using a saturated sampling technique, meaning all members of the population were included as respondents. Data collection was carried out through structured questionnaires, and the analysis was conducted using multiple linear regression methods, complemented by interval value interpretation on a Likert scale. The data were processed with the help of Microsoft Excel and SPSS version 26 to ensure accuracy in statistical testing. Findings from the study revealed that workload and job stress significantly and positively influenced turnover intention, indicating that higher levels of these factors increased employees’ desire to leave the company. Meanwhile, work-life balance showed no significant impact on turnover intention, suggesting that despite potential difficulties in balancing personal and professional roles, employees’ decisions to resign were more strongly driven by excessive workload and heightened job stress. These results emphasize the importance for garment companies to manage workload effectively and reduce stress levels to maintain employee retention and organizational stability.