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This literature review discusses the application of Agile methodology in modern software development. Agile offers a flexible, iterative approach that contrasts with traditional waterfall models. The objective of this study is to provide insights into how Agile frameworks such as Scrum, Kanban, and Extreme Programming have influenced development speed, software quality, and team collaboration. Methodologically, the study synthesizes findings from recent academic and industrial literature from the last five years. The results show that Agile enhances adaptability and customer satisfaction, although challenges remain in large-scale implementations.  

This study examines software testing on a Web-Based Population Data Management System in Penarukan Village. The goal is to ensure system reliability and functionality before implementation. The testing process includes Unit Testing, Integration Testing, Validation Testing, and System Testing. Unit Testing verifies individual functions, Integration Testing ensures module interaction, Validation Testing assesses compliance with user needs, and System Testing evaluates overall system performance. The results confirm that key features such as data management, birth and death registration, and population movement tracking function correctly. Comprehensive testing minimizes errors, making the system stable, secure, and user-oriented.

This study aims to determine the effect of financial literacy and lifestyle on digital payments with the use of financial technology as an intervening variable for Jambi University digital business students Class of 2021 - 2024. This study uses a quantitative approach with a random sampling method. The population in this study, namely Jambi University digital business students in the 2021-2024 batch of 174 students and the sample of this study amounted to 64 students. The data collection technique used a questionnaire. The data analysis method in this study used Patrial Least Square and was processed using smartPLS 4.0 software. The results of this study found that: 1) Financial literacy has a positive and significant effect on digital payments. 2) Lifestyle has a positive and insignificant effect on digital payments. 3) Financial Literacy has a positive and significant effect on the use of financial technology. 4) Lifestyle has a positive and significant effect on the use of financial technology. 5) the use of financial technology has a positive effect on digital payments. 6) Financial Literacy has a positive and significant effect on digital payments with the use of financial technology as an intervening variable. 7) Lifestyle has a positive and insignificant effect on digital payments with the use of financial technology as an intervening variable.

This study aims to analyze and visualize the distribution of COVID-19 cases in Indonesia throughout 2020 with a spatial-based quantitative approach. The data used was obtained from the official report of the Ministry of Health of the Republic of Indonesia as of December 30, 2020, including the number of confirmed cases, recovered, and died. The analysis was carried out by integrating clustering methods and Geographic Information Systems (GIS) using Quantum GIS (QGIS) software. The visualization results show significant spatial variations between provinces, where provinces with high population density such as DKI Jakarta, West Java, East Java, and Central Java are recorded as areas with the highest caseload. In addition, areas with limited health facilities also show a high potential risk of transmission and death. Cluster patterns of positive and cured cases generally show similarities, while mortality rates show spatial inequalities that are important to look at. These findings emphasize the importance of spatial data integration in area-based policy planning for pandemic control. Spatial visualization not only facilitates understanding of distribution patterns, but also supports more effective and targeted decision-making.

Automatic Identification System (AIS) is a communication technology that plays an important role in improving operational safety and efficiency in the shipping industry. AIS allows ships to exchange real-time data on identity, position, speed, and direction, which helps prevent collisions and facilitates maritime traffic management by port authorities. In addition, AIS functions in search and rescue operations by providing accurate information on the location of ships in trouble. In terms of security, AIS allows monitoring of suspicious ships, thus helping in preventing illegal activities in the waters. This study aims to design and develop a prototype AIS receiver based on LoRa, Arduino, and LCD HMI. The LoRa module was chosen because of its ability to transmit data over long distances with low power consumption, which is suitable for the maritime environment. Arduino is used as the main microcontroller to control the system, while the LCD HMI serves as the display interface for the received data. After the hardware and software design was completed, the system was tested through functional testing and performance measurements using a spectrum analyzer to evaluate the strength of the LoRa signal at various distances. The test results show that the AIS receiver is able to receive data well up to 15 meters on land and 13 meters at sea, with a delay of 100 milliseconds. System performance degrades at longer distances due to environmental interference and signal attenuation. These findings provide insight into the effective limits of LoRa communication in maritime applications and can be used as a reference for frequency testing and optimization of LoRa-based long-range communication systems.

In the digital era, the ability to utilize social networks and digital platforms to gain financial education and make financial decisions in accordance with sharia principles is increasingly essential. This study aims to analyze the influence of social capital and digital literacy on Islamic financial literacy among Generation Z. A quantitative approach was employed, with primary data collected from 209 respondents through purposive sampling, consisting of Generation Z individuals residing in Yogyakarta. Data analysis was conducted using path analysis with the Structural Equation Modeling approach based on Partial Least Squares (SEM-PLS), utilizing the SmartPLS 3.0 software. Construct reliability testing, discriminant validity, and hypothesis testing were carried out to evaluate the relationships between variables. The results indicate that social capital and digital literacy have a positive and significant effect on Islamic financial literacy. Digital literacy enhances individuals’ access to Islamic financial information through digital media, while social capital strengthens knowledge sharing and trust within communities. These findings highlight the importance of leveraging digital technology and reinforcing community-based approaches to improve Islamic financial literacy. This study contributes to the growing body of literature on the interaction between social capital, digital literacy, and Islamic financial literacy in the digital age and offers strategic insights for educational institutions and financial service providers to promote sharia-based financial literacy.

The development of globalization has opened up many opportunities in the business world, especially in helping companies increase their sales and profits. One of the increasingly popular marketing tools is the use of celebrity endorsements. In this context, the Korean Wave phenomenon is one of the important aspects that attracts the attention of global consumers, especially in Indonesia. This study aims to encourage the influence of celebrity endorsements from NCT Dream on consumer behavior and purchase intentions for Tos Tos snack products. By involving 161 respondents who are NCT Dream fans who were born between 1997-2012 (Gen Z) and know Tos Tos products. This study uses a quantitative method with data analysis using the PLS-SEM approach supported by SmartPLS 3.0 software. The results of the study showed a significant influence of the Celebrity Endorsement and Consumer Behavior variables on Purchase Intentions for Tos Tos snack products, while the Digital Marketing variable did not have a significant effect on Purchase Intentions. This finding has an impact on Tos Tos to analyze factors that can increase consumer purchase intentions.      

The beauty industry is experiencing significant growth due to digital transformation, particularly through the use of brand ambassadors and social media marketing. This study investigates the impact of brand ambassadors and social media marketing on purchase intention, with brand image as the mediating variable. This research focuses on Azarine, the skincare from Indonesia and targets potential consumers in Riau Islands aged 18-44 who follow the Instagram account @azarinecosmeticofficial and recognize Prilly Latuconsina, Syifa Hadju, Angga Yunanda, and Lee Min Ho as brand ambassadors. A quantitative approach was applied using Structural Equation Modeling (SEM) with SmartPLS software. The research shows that brand ambassadors and social media marketing positively and significantly influence purchase intentions, with a higher direct impact compared to an indirect one through brand image. This study highlights the effectiveness of digital brand strategies in shaping consumer decisions and offers insights for marketing professionals in the beauty sector. These results emphasize the strategic role of celebrity endorsements and content-based engagement in influencing consumer perceptions and purchasing behavior.

Anemia is a condition of reduced red blood cells in the body lower than the normal amount, or what is commonly referred to as erythrocytes in the blood circulation or hemoglobin so that it is unable to fulfill its function as an oxygen carrier to all body tissues. An expert system is a system designed to mimic the experience of an expert in answering questions and solving problems. By using an expert system, a non-expert can solve problems and make decisions that would normally be made by an expert. Expert systems are now being developed in various fields, expert systems in the health sector are widely developed to detect various diseases with various methods. The fuzzy mamdani method is a method that is also often known as the MAX-MIN or MAX-PRODUCT method. The fuzzy mamdani method can help users in terms of detecting diseases based on symptoms that arise and lifestyle and provide diagnostic results for further action. Based on the description above, it can be seen that the fuzzy method is one method that has been widely used in software development for the diagnosis of a disease. Modeling this expert system to determine anemia based on the symptoms felt by patients.

Today's in digital era, graphic design skills have become one of the essential competencies, especially for students of Vocational High Schools (SMK) who are prepared to enter the workforce. However, challenges such as limited access to professional design software and a lack of adequate training often hinder students' creative development. Therefore, this training program is designed to enhance the graphic design skills of students at SMK Tri Sakti Lubuk Pakam by utilizing Canva. Canva was chosen as the main platform due to its ease of use, availability of various creative features, and accessibility in both free and paid versions. This program implements various methods, including theoretical and practical training, interactive workshops, and evaluation of students' design results. The activities will be conducted in stages, starting with an introduction to basic graphic design, exploring Canva features, and then applying them in creating various design works such as posters, promotional materials, and digital content. It is expected that through this training, students will improve their graphic design skills, making them more prepared to face the creative industry or develop their own business. Additionally, this program also aims to enhance the competitiveness of SMK Tri Sakti Lubuk Pakam graduates in the workforce and foster an innovative and creative culture among students.

Along with the development of technology and the increasing need for speed and ease of access to information, electronic archives have developed into Dynamic Archiving Information Systems (SIKD). Not only functioning as a storage medium, SIKD is also used as an archive management tool that allows organizations to organize, access, and monitor documents more efficiently and in real-time, to support the creation of a more modern work process. This study was conducted at the Head Office of Perum BULOG with the aim of analyzing the effectiveness of SIKD in archive management, identifying obstacles to its implementation, and formulating efforts to increase personnel awareness of the use of SIKD. This study uses a qualitative method using a research method that focuses on direct observation of phenomena or events that occur in real life, and uses a data analysis model with the help of NVivo 12 Plus software. The units of analysis in this study are sub-division heads, managers, and employees who are active users of the Dynamic Archiving Information System (SIKD). Data were obtained directly from the original source using interview, observation, and documentation techniques, and supplemented with literature studies as additional sources of information. Based on the research results, it shows that the implementation of SIKD increases work efficiency, accelerates the flow of correspondence, and digitizes archives. However, the implementation of this system still faces challenges such as low employee awareness in using this system, technical constraints, and operational constraints.

This research is motivated by the limited knowledge of human resources in operating Warehouse Management System (WMS). The purpose of this study is to analyze the influence of WMS training materials, methods, and trainers on production smoothness at PT. McDermott Batam and to analyze the influence of training duration on production smoothness. This study uses a quantitative method with a simple linear regression analysis approach. The population of the study were employees of PT. McDermott Batam, with a sample of 67 respondents selected using the Simple Random Sampling (SRS) technique and calculated using the Slovin formula with a margin of error of 10%. Data were collected through observation, interviews, documentation, questionnaires, and literature studies, then analyzed using SPSS software version 30. The results showed that WMS training had a positive and significant effect on production smoothness with a significance value of 0.001 <0.05 and tcount 8.565> ttable 1.997. In addition, WMS training contributed 53% to production smoothness. Thus, increasing the effectiveness of WMS training can be an important strategy in improving production smoothness at PT. McDermott Batam.

This research presents a personalized, context-aware recommender system to suggest Places of Interest (POIs) using a hybrid approach combining Bayesian inference and collaborative filtering. The system explicitly addresses the cold-start problem that new users face and improves recommendation accuracy by considering contextual variables such as user mood, budget, companion, and location. The system collects real-time contextual inputs for new users with no historical data and applies Bayesian inference to generate relevant POI suggestions. As users begin to interact and provide ratings, the system progressively shifts to a collaborative filtering mechanism, leveraging cosine similarity to identify similar users within comparable contexts. The recommender system focuses on three categories of POIs: restaurants, hotels, and landmarks. These locations are retrieved through the Google Maps API, and only mapped locations are considered. The system was implemented on Android devices and evaluated through a user study involving 25 participants from diverse backgrounds, including software developers, IT students, and general users. Evaluation metrics such as normalized Discounted Cumulative Gain (nDCG) and classification accuracy were used to assess recommendation quality. Results demonstrate that the system performs better than traditional methods, with nDCG improvements reaching up to 83 percent. Users reported high satisfaction regarding the recommendations' accuracy, ease of use, and contextual relevance. While the system offers significant improvements, it also has certain limitations. Its dependency on Google Maps data may restrict its scope, and using only four contextual factors limits the system’s adaptability to more complex user preferences. Future enhancements could include additional dynamic contexts such as weather, POI popularity, and time-related trends, as well as integrating more advanced models to increase personalization and flexibility in real-world applications.

This study aims to analyze and explore more deeply the concept of electronic word of mouth (eWOM) by examining the role of electronic service quality, with trust as an exogenous variable and electronic satisfaction as a mediating variable. The phenomenon of consumer behavior in the context of e-commerce continues to grow in line with the rapid increase in internet users. In Indonesia, internet users are projected to reach 72.8 million people, making the country the third-largest in internet penetration among ASEAN nations. This surge in internet usage has significantly influenced online shopping behavior, especially among digital-savvy consumers. However, this trend contrasts sharply with the declining performance of offline retail, as shopping centers are witnessing a drop in consumer visits. This decline is largely driven by three major factors: (1) shifting consumer preferences, (2) decreasing employment in physical retail sectors, and (3) a rapid rise in the number of online stores.The research utilizes primary data, collected from respondents who have made online purchases from two major marketplaces in Indonesia—Tokopedia and Lazada. The data were analyzed using the Smart PLS software to test the relationships between the variables. The results indicate that electronic service quality has a positive and significant effect on eWOM when mediated by trust. However, the direct effects of service quality and satisfaction on eWOM were found to be statistically insignificant. The findings suggest that building customer trust through enhanced service quality is a strategic priority for e-commerce platforms aiming to encourage consumers to share positive online recommendations.

Profitability acts as a moderating factor, this research seeks to learn how management ownership, leverage, and liquidity impact financial distress in transportation companies listed on the Indonesia Stock Exchange from 2018 to 2022. Quantitative research describes this kind of study. From 2018 through 2022, 37 transportation businesses were included in the study's population. These companies were listed on the Indonesia Stock Exchange (IDX). Eleven different businesses made up the sample. The kind of information used is secondary data. The method utilized to gather data is documentation studies. This study makes use of the Eviews 10 software program. The data analysis methods that are used include descriptive analysis, panel data regression analysis, R2 determination coefficient, significance test (t-test), and moderating test.  According to the study's findings, financial distress is not significantly impacted by leverage, financial distress is negatively and significantly impacted by liquidity, financial distress is not significantly impacted by managerial ownership, and the relationship between the debt-to-equity ratio variable and financial distress cannot be moderated by profitability. However, profitability can moderate and strengthen the impact of liquidity on financial distress, and it can also moderate and strengthen the impact of managerial ownership on financial distress.

Bali Province is a world-renowned tourism destination that significantly contributes to the Gross Regional Domestic Product (GRDP) of the region. However, the COVID-19 pandemic led to a severe economic downturn, causing negative economic growth. This study aims to examine the simultaneous and partial effects of tourist visits, local revenue (PAD), and investment on the GRDP of Bali Province. The research utilizes secondary data from nine regencies/cities in Bali over a six-year period (2018–2023). Data analysis is conducted using panel data regression with the Eviews 12 software. The results indicate that tourist visits, PAD, and investment collectively influence the GRDP of Bali Province. Partially, tourist visits and PAD have a positive and significant impact on GRDP, while investment has a negative but insignificant effect. The findings suggest that optimizing tourism potential, improving infrastructure, maximizing the potential of each region to increase local revenue, and exploring investment opportunities beyond the tourism sector—while supporting both domestic and foreign investment are essential to boosting Bali’s GRDP.

This study aims to determine the effect of investment decisions, profitability, liquidity, and capital structure on firm value, and to analyze investment decisions, profitability, liquidity, and capital structure on firm value. The population in this study are processed food and beverage sub-sector companies listed on the Indonesia Stock Exchange in the financial statements for the 2019-2023 period. The sampling technique in this study used purposive sampling method and obtained a sample of 31 companies. The analysis technique used is multiple linear regression analysis using SPSS software version 22.0. The results of this study indicate that investment decisions have a significant effect on Firm Value, Profitability has a significant effect on Firm Value, Liquidity has no significant effect on Firm Value, and Capital Structure has a significant effect on Firm Value.

Overhead cranes are an important device in the manufacturing and construction industry that functions to move heavy loads efficiently and safely. However, human error often occurs which can cause work accidents, equipment damage, and decreased productivity. Therefore, this research aims to design and build an Arduino-based automatic overhead crane system that can increase work efficiency and safety. This system is designed using an Arduino microcontroller as a control center, equipped with an ultrasonic sensor to detect the position and distance of the load, as well as a servo motor to regulate crane movement automatically. The system also features a wireless communication module to monitor and control the crane remotely. The research method used is Research and Development (R&D), which includes the stages of needs analysis, system design, hardware and software implementation, and performance testing. Test results show that this automatic overhead crane is capable of moving loads with high accuracy and a speed that can be adjusted according to needs. The system also succeeded in reducing manual intervention, thereby increasing work safety and reducing the risk of accidents by up to 30% compared to manual systems. The Arduino-based automatic overhead crane design succeeded in meeting the research objectives, increasing work efficiency and safety. Routine maintenance and periodic checks on mechanical and electronic components need to be carried out to ensure the system continues to function optimally and reduces the risk of damage.

This research aims to address the challenges in sales data management and limited market reach faced by the Inegena Village-Owned Enterprise (BUMDes) in North Bajawa District, Ngada Regency, East Nusa Tenggara. The BUMDes produces and sells candlenut oil, a superior local product, but currently uses a manual sales and recording system (B2B and B2C), which leads to fluctuating demand, difficulties in sales data analysis, and decision-making that lacks valid data. To address these issues, a web-based e-commerce system was implemented. This system was designed using Agile methods, involving planning, implementation, software testing (black box testing), documentation, deployment, and maintenance. Furthermore, the Naïve Bayes algorithm was applied to visualize sales data and support better decision-making by classifying best-selling products, popular payment methods, and sales levels. The results of this research are expected to assist Inegena BUMDes in improving sales efficiency, expanding the market reach of candlenut oil products nationally. This system uses supporting software such as Xampp, PHP, and MySQL.

Software testing is a crucial stage in the development of information systems to ensure that applications can function according to user needs. System feasibility testing using UAT is intended to ensure that the system meets the functional requirements specified by the users. This study aims to apply UAT to a financial and inventory management information system used to manage various operational needs of the company, such as inventory recording, expense and income reporting, and employee wages. The UAT process is conducted by the system’s end-users, consisting of 16 respondents, including employees and the owner of CV. Nitah Tirta Makassar. The testing methodology includes several stages: UAT planning, preparing test questions through a Google Forms (gforms) questionnaire, conducting the tests, and analyzing the test result calculations. The results of this study indicate that the financial and inventory management information system meets user needs, based on UAT questionnaire score calculations that achieved an average interpretation score above 87% with a "very good" rating. With the implementation of UAT, it can be concluded that the financial and inventory management information system meets the users' requirements.