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Children's literacy can be improved through interactive learning media. A digital children's story platform, previously a mobile application, required web version development to expand user accessibility via browsers. The main challenge in this development was presenting multimedia content such as text, images, and audio dubbing synchronously scene-by-scene without degrading system performance, as well as facilitating reader interaction through a rating feature. This research aims to design and develop the platform using a Decoupled Architecture approach. The software development method used is Waterfall, encompassing requirement analysis, system design (UML, CDM, and PDM), implementation, testing, and maintenance. During implementation, ReactJS is utilized on the client-side for responsive interface rendering and state management, while Laravel is implemented on the server-side as a RESTful API provider to manage multimedia asset transmission, rating records, and the MySQL database. Functional system testing was evaluated using Black-box Testing, while user experience was validated using Spearman's Rank Correlation. The results indicate that this architectural separation (front-end and back-end) effectively resolves server overload issues commonly found in monolithic architectures and produces a seamless, stable asynchronous data transmission system across various devices.

This study presents the integration of a Large Language Model (LLM) Ollama with the OpenStreetMap (OSM) API within a Business Intelligence (BI) framework to develop an intelligent, location-based recommendation system. The system is designed to assist users in finding dining, leisure, and resting places through natural language interaction and contextual understanding. The LLM interprets user input semantically, transforms it into structured spatial queries, and retrieves relevant geospatial data from OSM. The data are then analyzed, categorized, and visualized using BI methods to enhance interpretability and decision-making. The system was implemented using Next.js, Leaflet.js, ensuring interactivity and scalability for web-based deployment. Technical evaluation focused on system accuracy, response time, and output consistency. Results demonstrate an average response time of 1.74 seconds, 80% accuracy, and 80% consistency, proving the model’s efficiency in producing relevant, context-aware recommendations. This integration highlights the potential of combining open geospatial data, local LLMs, and BI analytics to create intelligent, data-driven decision support systems applicable to tourism, urban planning, and spatial information management.

Technological advancements, particularly in microcontrollers and the Internet of Things (IoT), have brought significant changes to various aspects of life. Microcontrollers such as the ESP32, DS18B20 sensor, water pH sensor, and other supporting sensors enable the development of efficient automation systems. This research addresses issues related to the design and development of IoT devices for water quality monitoring, as well as the integration of these devices with web-based systems. The objective is to develop a device capable of monitoring water quality parameters such as pH, temperature, turbidity, dissolved materials, salinity projection, and dissolved oxygen projection, while providing automatic notifications under certain conditions. The development process applies the Agile methodology, which allows for rapid and adaptive iterations. Theoretically, this study contributes to improving understanding of IoT implementation and information systems, while practically, it provides a technological solution to support Koi fish farmers in monitoring and managing pond water quality. The expected outcome is a web-based water quality monitoring and management device for Koi ponds that can deliver real-time information and condition notifications, thereby reducing aquaculture risks and improving productivity.

Village websites currently generally only provide information in the form of an interface for users, such as village profiles, potential areas, population data, and current news. However, the majority are not yet equipped with Application Programming Interface (API) support that allows for flexible and automated data integration and exchange. This is a challenge when dynamic access is needed by third-party systems, such as public service platforms, mobile applications, or local government information systems, which require real-time and accurate synchronization of population data. The project aims to implement a RESTful API that can be accessed securely, efficiently, and easily understood by developers to retrieve villagers' data. The development of the system is carried out using the Agile method, which supports rapid iteration and periodic evaluation to ensure that each feature functions optimally according to the needs of users and field conditions. This Agile method is applied in several sprints that include the stages of needs planning, designing the API endpoint structure, coding, documentation, and testing of the integration and security of the system as a whole. The results of the implementation show that the API successfully retrieves data directly from the village database, and presents it in a JSON format that is compatible for use by both frontend and third-party systems. This API supports pagination features for efficient access to large amounts of data, and is equipped with Basic Authentication to keep data access secure from being abused. With this API, the village website not only becomes a static information medium, but also transforms into a digital service platform that is open for cross-system integration. This supports the development of a more modern, efficient, sustainable, and collaborative village information system in the future, so that public services can be significantly improved.

When producing a perfect product, design process namely 2D modeling and 3D drawing, are closely related. The purpose of this study is to design a 3D model of a gun mastering machine product as a fan drive using CAD applications. The method of this study is decision data on API production (analytical product inspection). Measurement of sterling machine degradation using CPK (deviation) received results of -0.97, -0.22, 0.86, 0.11, 0.11 between zero and what indicates this specification. On average, the results of the stirling fluid fluorescent agent measurement are red numbers indicating that the survey dimensions are absent, especially from the basic dimensions of point 4, with samples 2, 3, and 5 exceeding the specified tolerance limits.

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.

A geographic information system are highly valuable tools that help individuals or visitors explore noteworthy destinations. Implementing GIS for online restaurant searches within Southwest Sumba Regency aims to assist users in effortlessly obtaining detailed and accurate information about restaurant locations, enabling them to identify and reach these spots efficiently. The purpose of this project is to design a GIS application that leverages the capabilities of the Google Maps API. This API represents a sophisticated set of modern programming tools that facilitate seamless interaction between different software systems. The GIS application is developed using the waterfall methodology, which emphasizes a structured software development lifecycle to ensure uniformity and operational clarity. Therefore, the results of this study, with a geographic information system mapping the location of eating restaurants can provide information to tourists, as well as the community regarding the location of eating restaurants in the Southwest Sumba Regency area quickly and easily. 

Web service API is meant for each platform to be connected and can be used for personal, group, or company needs. Web service API in the insurance world is used for insured parties to get their policy numbers and payment details for insurance purposes both for self-insurance and the property of the insured. By using a primary data collection method that is directly from the source, by using existing parameters in the procedure that was made previously to be able to get a valid policy number and is used by the insured as a form of cooperation with the Sinar Mas Insurance company. The results of the analysis are the number of policies that have been processed, will be used for the insured to make insurance claims on the insurance. This API has been made which aims to facilitate interaction between application platforms both web-based or mobile in data retrieval without regard to the platform used so that the activity of exchanging data between applications can run properly.

Waste Bank is an institution that plays an important role in waste management. Kedungmaling village is a village located in Mojokerto district, East Java province, Kedungmaling Waste Bank was established in 2019 and its head is the PKK organization of Kedungmaling village. Some research has been conducted with a case study of a Waste Bank to improve the performance of waste banks that still carry out their business processes conventionally. Most previous research focused on making waste bank applications but still used Kotlin programming language and fire base web service as the database. This research uses the React Native framework to create mobile applications and uses the Rest API as a database. The application design uses the SDLC method with a waterfall model. Application testing using black box gets a percentage of 97% of 89 scenarios and Rest API testing assisted by the postman application gets a percentage of 100% of 94 scenarios. With this application, it can help officers in managing waste and facilitate customers in managing their balances.

Mangrove ecotourism offers a variety of interesting tourist activities for visitors, such as nature tourism, environmental education, and cultural tourism. The purpose of this study was to determine the role and efforts of the community in participating in improving mangrove ecotourism management in Denai Kuala Village, Pantai Labu District, Deli Serdang Regency. The method used in this research is Qualitative with Descriptive Approach. The results of this study show that there are various types of mangroves in Denai Kuala village such as Rhizopora Apicullata, Rhizophora Mucronata and Avicennia. Beach management with an approach that harmonizes environmental protection, animal welfare, education, and economic sustainability. Mangrove ecotourism management on Putra Deli beach is managed by one party where the management of the beach revenue is used properly and partly goes into the treasury as a further beach management fund. Mangrove management of Muara Indah Beach is carried out by groups of people who live around the beach. Not all people are only some who belong to the Muara Indah Beach management group

Academic information systems are veritably important for schools, especially for academy and students. Still, the perpetration of the academy information system has not yet reached all educational institutions, for illustration at Bina Taruna Medan Middle School. Therefore, the author make an Android-based school information application, so students can view information about academy biographies, school facilities, school galleries, teacher names, subject schedules, and student grades through the application without having to go to academy. Therefore, in this study the authors used the Rest API (Application Programming Interface) method. The Rest API method is a software that allows developers to integrate and allow two different applications to connect to each other simultaneously. With the Android-based school application at Bina Taruna Medan Middle School, it is hoped that it will make it easier for students to get school information that is more accurate, effective and efficient, as well as make it easier for the school to collect information about student academic development. So from the results of black box testing, the results show that the system built can work well according to its function.