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Poultry agribusiness is a key driver of food security and rural economic development in developing countries. However, the sector remains vulnerable to infectious diseases such as avian influenza and Newcastle disease, which can disrupt production systems and supply chain continuity. Although previous studies have examined poultry disease control, biosecurity, and supply chain disruption, evidence on how risk and crisis communication supports outbreak management and resilience in developing-country poultry agribusiness remains fragmented. This study applied a systematic literature review (SLR) approach under PRISMA guidelines to synthesize risk and crisis communication strategies in poultry disease management and their contribution to supply chain resilience. Only seven relevant studies published between 2020 and 2025 met the inclusion criteria and were analyzed using the PICO framework. Quality assessment using the Mixed Methods Appraisal Tool (MMAT), combined with systematic data extraction in Microsoft Excel 2021, was conducted to improve methodological transparency and consistency. The novelty of this review lies in integrating communication strategies, enabling and constraining factors, digital tools, One Health perspectives, and public–private collaboration within a single analytical synthesis. The findings indicate that participatory, transparent, and coordinated communication can support disease prevention and crisis preparedness, particularly when strengthened by stakeholder trust, policy support, training, and accessible information channels. However, limited digital literacy, inadequate infrastructure, and cultural barriers may reduce communication effectiveness. Overall, this review highlights the need for inclusive communication systems and collaborative governance to strengthen poultry supply chain resilience in developing countries, while recognizing that the small evidence base limits broad generalization.

This research was conducted to examine the implementation of the Accurate system in recording cement purchase transactions at PT. XYZ and to evaluate its effectiveness in supporting the company's operational activities. A qualitative approach was employed, emphasizing the analysis of descriptive data in the form of words and documents. The study was carried out using a case study method to obtain an in-depth understanding of the phenomenon being investigated. During the internship period, data were collected through interviews, observations, and documentation techniques. Research shows that the Accurate system helps companies record purchases in a more organised, faster and more accurate way than the manual method using Microsoft Excel. The Accurate system can automatically record purchase invoices, business debts, suppliers and the inventory of goods. This makes the accounting department more efficient. Accurate helps to reduce the risk of recording errors and makes it easier to find transaction data. However, when it is being used, there are still several problems, such as delays in entering transaction data, mistakes when entering names or account numbers, and being unable to change invoices after a certain amount of time. To get around these problems, the company checks the transaction data again and makes sure that the recording process is more consistent. Research results show that the Accurate system is effective in PT. XYZ can help make sure that the process of recording cement purchases is effective and efficient. It can also help make sure that financial information is more accurate and joined up.

Concrete volume calculation is a crucial factor in preventing cost overruns when preparing the Budget Plan (RAB) for construction projects. In arch bridge projects, the complex structural geometry often makes conventional volume calculation methods complicated and prone to errors, particularly due to the geometric complexity of the arch beams. This study aims to analyze the comparison of concrete volume calculation results between the conventional method and the Building Information Modeling (BIM) method using Autodesk Revit in terms of cost-effectiveness. The case study was conducted on the Short Span II Pulau Balang Bridge Duplication Project in the Nusantara Capital City (IKN), Penajam Paser Utara Regency, East Kalimantan. The research objects include substructures (bore piles, pile caps, abutments, piers, and wing walls) and superstructures in the form of arch beams. The research method employs a quantitative approach by calculating concrete volumes conventionally using AutoCAD and Microsoft Excel, as well as calculating with BIM Autodesk Revit through three-dimensional modeling and Quantity Take-Off (QTO) exports. The results indicate that the BIM Autodesk Revit method generates a larger concrete volume compared to the conventional method, resulting in a higher total cost based on the BIM volume. The total cost for the conventional method amounted to IDR 142,613,245,996.12, while the BIM Autodesk Revit method amounted to IDR 143,127,208,186.60. These differences are influenced by the level of calculation detail, the simplification of shapes in the conventional method, and the precision of modeling in Autodesk Revit.

 Education in vocational high schools (SMKs) requires effective data management to improve students’ academic achievement and discipline. At SMK Islam Secang, students’ academic scores and attendance data have so far functioned merely as administrative archives, making it difficult to identify patterns of student performance. This study aims to classify students based on academic achievement and discipline by applying the K-Means Clustering algorithm using RapidMiner. The data used in this study consist of scores from six subjects and attendance records of 35 students from the Light Vehicle Engineering (TKR) department over two semesters. The data were obtained from original school records, compiled using Microsoft Excel, and processed in RapidMiner. The clustering process employed four clusters for academic achievement and two clusters for discipline, with Euclidean Distance used as the similarity measure. The results show that in the first semester, students were grouped into four academic achievement clusters: high achievement (6 students), moderate achievement (7 students), potentially problematic (14 students), and problematic (8 students). In the second semester, the distribution changed to high achievement (19 students), moderate achievement (14 students), potentially problematic (4 students), and problematic (1 student). Meanwhile, student discipline was divided into two clusters: disciplined (31 students) and undisciplined (4 students). These results demonstrate that K-Means Clustering is effective in mapping student conditions, revealing patterns in academic performance and attendance, and supporting educational evaluation, learning planning, and early detection of students who require academic or disciplinary intervention. Keywords: Data Mining, K-Means Clustering, Academic Achievement, Discipline, RapidMiner, Vocational High School (SMK)

Accountability in preparing financial reports is a crucial instrument for the sustainability of business entities, because inaccurate financial data management can hinder decision-making and harm business performance in the future. For MSME actors in the PKK Tanggamus community, strengthening financial reporting competence is an urgent need so they can map expenditure structures, record income, calculate profit, and evaluate business development periodically. This community service activity aims to improve participants’ financial discipline, particularly in separating personal assets, business capital, and gross profit, while introducing accessible office technology. The training focused on optimizing LibreOffice Calc as an alternative to Microsoft Excel with similar functions for creating transaction tables, cost recapitulations, and simple financial reports. The activity method included material presentation, software demonstrations, report preparation practice, and interactive discussions based on participants’ business needs. Training results showed high enthusiasm, improved understanding, and readiness to use LibreOffice Calc as a more organized, transparent, and sustainable financial recording tool. Thus, this activity provides practical contributions to building an accountable financial administration culture for community-based MSMEs.

This research was designed to explore the extent to which public beliefs influence the implementation of Digital traceability  systems in the halal industrial sector. The approach used was quantitative with a survey method, where questionnaires were distributed to 60 respondents who were consumers of halal products in Indonesia. Data were analyzed using simple linear regression via Microsoft Excel. Research findings indicate that public confidence has a positive and significant influence on the adoption of Digital traceability  systems, with a regression coefficient of 0.476 and a significance level of 0.000 (<0.05). In addition, the coefficient of determination (R Square) value of 0.219 indicates that public confidence contributes 21.9% to the implementation of the Digital traceability  system, while the rest is determined by other factors that were not researched. These findings confirm that public trust is an important element in encouraging acceptance of digital technology, especially in the halal industry which relies heavily on transparency and consumer confidence. Thus, implementing a Digital traceability  system that is supported by information openness and easy access to technology can be an effective strategy to strengthen consumer trust while expanding technology adoption.

This study aimed to analyze the influence of capital structure, liquidity, activity, and dividend policy affect firm value in the food and baverage manufacturing sub-sector listed on the Indonesia Stock Exchange during 2022-2024. The research uses secondary data drawn from financial reports. From a population of 99 listed companies for the 2022-2024 period, purposive sampling yielded 19 companies as the study sample. A quantive approach was applied, using multiple linear regression for analysis. Data processing and analysis were conducted with Microsoft Excel 2022 and IBM SPSS version 27. The findings indicate the capital structure has a positive and statistically significant effect on firm value. While liquidity, activity, and dividend policy show no significant effect.  

This study aims to determine the effect of Motivation (X1) on Employee Performance (Y), Work Environment (X2) on Employee Performance (Y), and Work Discipline (X3) on Employee Performance (Y) among employees of CV. Rens Jaya in Tangerang Regency. The research uses a non-probability sampling technique with a saturated sampling method. The population in this study consists of 45 employees working at CV. Rens Jaya in Tangerang Regency. The research was conducted using multiple linear regression analysis, assisted by SPSS version 25 and Microsoft Excel 2016. The results show that Work Motivation (X1) has a positive and significant effect on Employee Performance (Y), the Work Environment (X2) has a positive and significant effect on Employee Performance (Y), and Work Discipline (X3) has a positive effect on Employee Performance (Y).

The matcha cafe industry in Indonesia is experiencing rapid growth in line with increasing matcha consumption and the growth of matcha-based cafe brands. This growth has led to increasingly competitive competition in the beverage business sector. Feel Matcha, as the first matcha cafe in Indonesia, faces competitive pressure from various new brands such as Uki Matcha and Matchaboy. This study aims to determine the partial and simultaneous effects of Product Quality, User Generated Content, and Brand Image on the Purchase Intention of Feel Matcha consumers in DKI Jakarta. This is a quantitative study. The technique used to determine the population is non-probability sampling. The population in this study is all Feel Matcha consumers, the exact number of which is unknown. The sample used in this study consisted of 97 respondents, with accidental sampling and using the Lemeshow formula. In this study, the data were analyzed using SPSS version 26 and Microsoft Excel 2021. The results of this study indicate that Product Quality, User Generated Content, and Brand Image partially influence Purchase Intention.

Perkembangan teknologi mendorong pelaku Usaha Mikro, Kecil, dan Menengah (UMKM) untuk mulai menerapkan pencatatan keuangan berbasis digital. Namun, masih terdapat pelaku UMKM yang mengalami kesulitan dalam melakukan pengelolaan keuangan usaha secara terstruktur. Permasalahan tersebut ditemukan pada UMKM Ubi Cilembu Madu Oven Lumintu dan Warung Madura Sembako Amanda di wilayah Condongcatur yang masih menggunakan pencatatan manual dalam kegiatan usahanya. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pemahaman dan keterampilan pelaku UMKM dalam melakukan pencatatan keuangan berbasis digital menggunakan Microsoft Excel dan aplikasi BukuWarung. Metode pelaksanaan kegiatan dilakukan melalui observasi, sosialisasi, pelatihan, pendampingan, dan evaluasi. Kegiatan dilaksanakan pada tanggal 17 April 2026, 5 Mei 2026, dan 20 Mei 2026. Hasil kegiatan menunjukkan bahwa pelaku UMKM mulai memahami pentingnya pencatatan keuangan usaha secara teratur serta mampu mencatat pemasukan dan pengeluaran usaha menggunakan Microsoft Excel dan aplikasi BukuWarung. Penggunaan Microsoft Excel membantu UMKM Ubi Cilembu dalam melakukan pencatatan keuangan sederhana secara lebih rapi, sedangkan aplikasi BukuWarung membantu Warung Madura dalam mengelola transaksi usaha dan pencatatan hutang pelanggan secara lebih praktis. Kegiatan ini membantu pelaku UMKM dalam melakukan pencatatan keuangan usaha secara lebih teratur dan mudah dipahami.

The development of information technology has become a primary pillar in enhancing corporate operational efficiency, where rapid and accurate data integration significantly determines business competitiveness. Case study in PT Gawi Anjung Bersama (GAB) revealed that the company is facing operational constraints because the management of delivery orders and invoices still relies on conventional office applications such as Microsoft Excel and Word. This procedure causes hurdles in data sharing among staff and results in low information security due to the absence of integrated access control settings. This research aims to design and develop the Gawi Anjung Bersama Information System (SIGAB), a web-based system implementing the CodeIgniter framework. The system is developed using Waterfall model, encompassing stages from analysis, design, and implementation to testing. The research flow starts with problem identification, primary and secondary data collection, and functional and non-functional requirements analysis. The system is designed using Unified Modeling Language (UML) modeling, specifically Use Case and Class Diagrams, as well as Entity Relationship Diagrams (ERD) for the database. The system interface is designed as wireframes on Figma web. This system separates access rights into three main actors namely owner, administrator, and staff, to ensure data security. Blackbox testing results, conducted after the system was hosted, indicate that all functional features operate as intended. The implementation of SIGAB is expected to optimize the management of delivery orders and invoices at PT GAB.

This study aims to examine and analyze the role of interest rates in strengthening or weakening the effect of Tax Planning and Financial Distress on Firm Value. This research employs a quantitative approach. The population of this study consists of consumer non-cyclical sector companies listed on the Indonesia Stock Exchange (IDX) during the period 2020-2024, totaling 128 companies. The research sample was selected using purposive sampling, resulting in 42 companies that met the specified criteria, with a total of 210 observations. Panel Data Linear Regression Analysis and Moderated Regression Analysis (MRA) were conducted using Microsoft Excel and E-Views version 12. The results indicate that Tax Planning has no significant effect on Firm Value, while Financial Distress has a significant effect on Firm Value. Regarding the moderating variable, the interest rate is unable to strengthen or weaken the effect of Tax Planning on Firm Value; however, Interest Rates are able to moderate (weaken) the effect of Financial Distress on Firm Value.

This study aims to analyze the influence of the physical work environment (X1), work-life balance (X2), and job satisfaction (X3) on employee performance (Y) at Grand Serela Hotel Bandung. The method used in this study is a non-probability technique with saturated sampling, with a population of 56 hotel employees. Data analysis was carried out using multiple linear regression, assisted by SPSS version 25 and Microsoft Excel 2019. The results showed that the physical work environment (X1) has a significant influence on employee performance (Y), which indicates that the physical condition of the workplace can increase employee productivity and performance. However, work-life balance (X2) does not have a significant effect on employee performance, which may indicate that other factors outside of work-life balance affect employee performance. Job satisfaction (X3) also has a significant effect on employee performance, indicating that a high level of job satisfaction can improve overall employee performance. This study provides insights for hotel management to improve employee performance through improving the work environment and increasing job satisfaction.

In the midst of increasingly intense competition in the digital era, organizations are required to possess human resources capable of adapting and enduring various work-related challenges. Therefore, work resilience is considered an important competency that employees must have. This study aims to examine the influence of self- esteem, self-efficacy, and adversity quotient on work resilience among supervisor members of Independent Herbalife Nutrition Indonesia in South Jakarta. This research employs a descriptive quantitative approach. Data were collected through the distribution of Likert-scale questionnaires to 103 respondents using a saturated sampling technique. The data obtained were analyzed using multiple linear regression analysis with the assistance of Microsoft Excel 2019 and IBM SPSS version 22. The results of the study indicate that self-efficacy has a positive and significant effect on work resilience. Meanwhile, self-esteem and adversity quotient do not have a significant partial effect on work resilience. However, simultaneously, self-esteem, self-efficacy, and adversity quotient have a significant effect on work resilience.

This study aims to determine the influence of Product Quality, Price Perception, and Brand Image on Purchase Decisions in Shopee application users in South Jakarta. The population in this study is Shopee application users in South Jakarta who have made purchases in the last six months. The research sample was determined using the Non Probability Sampling method with the Lemeshow formula and obtained as many as 96 respondents who were considered to represent the characteristics of the population. Data was collected through a questionnaire with a Likert scale distributed through Google Form, then processed using Microsoft Excel 365 and SPSS software version 29 for descriptive analysis and hypothesis testing. The analysis techniques used included validity tests, reliability, classical assumption tests, multiple linear regression analysis, as well as t-tests and F-tests. The results showed that Product Quality, Price Perception, and Brand Image had a significant effect on Purchase Decisions in Shopee application users, both partially and simultaneously, which indicates the importance of marketing strategies based on product and brand values in improving consumer purchase decisions.

This study analyzes the comparison of the Trapezoidal, Simpson 1/3, and Simpson 3/8 to approximate numerical integration using Microsoft Excel, with the variation of the interval . The test function is  on the interval . Because it is smooth and lacks an elementary antiderivative, the results indicate that the Simpson Method outperforms the Trapezoidal method in accuracy. The Trapezoidal method yields absolute errors on the order of  to , while Simpson 1/3 and 3/8 achieve  to , with Simpson 1/3 performing best across all . These findings confirm the higher convergence order of Simpson methods ) vs . Excel implementation proves effective as an accessible learning tool for numerical methods, supporting integral computation in higher education. This research contributes to simplifying computational approaches for engineering applications and education, and opens up opportunities for more effective implementation of numerical methods in practical teaching. The results of this research are expected to enrich understanding of numerical applications in engineering and science.

The quality of assessment instruments plays an important role in determining the accuracy of measuring student learning outcomes in science learning in elementary schools. A good test instrument must meet certain criteria, such as validity, reliability, difficulty level, and discrimination power. This study aims to analyze the quality of daily science test items in grade VIc elementary schools based on these four criteria. The study used a quantitative. The subjects were 19 sixth-grade students, while the instrument analyzed consisted of 25 multiple-choice questions. Data processing and analysis were carried out using Microsoft Excel to calculate item validity through item correlation with total score, test reliability using internal consistency, difficulty level index, and discrimination index. The analysis results showed that 17 questions (68%) were declared valid, while 8 questions (32%) were invalid and needed to be improved. The results of the reliability test indicated that the test instrument had good reliability and was suitable for use as a measuring tool for student learning outcomes. Judging from the level of difficulty, 20 questions (80%) were moderate and 5 questions (20%) were easy, indicating a relatively balanced level of difficulty. Based on the discrimination power, 16 questions (66%) had very good discrimination power, 4 questions (16%) were good, 4 questions (16%) were sufficient, and 1 question (4%) was poor. Based on these findings, it can be concluded that the quality of the sixth grade science daily test questions is classified as good and the test instrument is suitable for use, but improvements are still needed on invalid questions and those with low discrimination power so that the quality of the assessment is more optimal. This study emphasizes the importance of teachers' abilities in compiling and analyzing test items to ensure that the assessment of science learning is objective, valid, and reliable.

This study aims to develop an educational application based on a Graphical User Interface (GUI) using MATLAB App Designer that functions as an interactive simulation for evaluating blood pressure. The application allows users to input systolic and diastolic blood pressure values along with supporting information such as name and age. The input data are then analyzed and classified into several blood pressure categories according to the standards of the American Heart Association (AHA), including normal, hypotension, stage 1 hypertension, stage 2 hypertension, and hypertensive crisis. The classification results are presented visually through an interactive pie chart with dynamic percentages and legends to enhance user understanding. In addition, all data are automatically stored in a Microsoft Excel file containing a summary of blood pressure categories and session timestamps. The system is designed with a simple interface and intuitive interaction, making it suitable for early health education purposes. Although the application still relies on manual data input, it has the potential to serve as an effective learning tool for increasing public awareness of the importance of regular blood pressure monitoring. 

The calculation of work volume and construction costs is a fundamental aspect of project management, as errors in the estimation process can directly affect the preparation of the project budget. Many projects still use conventional methods for estimation, which are based on 2D working drawings with the assistance of Microsoft Excel, as seen in the Sungai Raya Religious Court Building project. This method is considered prone to calculation errors and less efficient due to the considerable amount of time required. With the advancement of technology, Building Information Modeling (BIM) has emerged, enabling automatic and integrated calculation of work volumes and construction costs through a three-dimensional digital model. This study aims to examine the implementation of BIM in the Sungai Raya Religious Court Building project and to compare the results of work volume and construction cost calculations between the BIM method using Autodesk Revit and the conventional method based on the project’s Bill of Quantity (BoQ). The research method was conducted by modeling the structural elements of the building, including pile caps, tie beams, columns, beams, floor slabs, and reinforcements. The results of work volume and construction cost calculations obtained from Autodesk Revit were then compared with the project’s BoQ as the conventional method. Based on the analysis, an average difference of 6.3% in work volume and 5.6% in construction cost was found, with the Autodesk Revit calculations showing slightly lower values compared to the project’s BoQ.

The advancement of information technology today has provided great benefits in the world of education. The construction of computer-based academic information system websites is part of the use of information technology. With information technology, it is possible for academic databases to be processed quickly and easily, so that in the presentation of the required academic information reports can be obtained precisely, quickly, and efficiently. SMP Negeri 2 Wewewa Utara already has sufficient information technology infrastructure, but it has not been used optimally in academic management. The school already has a computer lab and internet access, but academic data management is still carried out manually using a ledger and Microsoft Excel application. To address issues such as unintegrated student data, complex and time-consuming grade management processes, delivering academic information, and monitoring student learning progress, an academic information system is needed. The purpose of developing this system is to solve the problems contained in the previous system by creating an academic information system at SMP N 2 Wewewa Utara. With the implementation of the new system at SMP N 2 Wewewa Utara, the knowledge and skills of employees, teachers, and principals in the field of web-based academic information systems can be improved. In the development of the academic information system that will be included in the system, it includes information about students, subjects, student classes, classrooms, teachers, homeroom teachers, and student score reports. The software used is DBMS (Database Management System), while the data storage medium is MySQL and PHP as a Programming Language.