Sinkron : jurnal dan penelitian teknik informatika
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Web-Based Application Development using PHP-Native Framework on Agent of Change Integrity Zone Information System
No full textAn Integrity Zone is an activity related to government policies and efforts to create an environment free from corruption, collusion, and nepotism (KKN). The Integrity Zone aims to encourage transparency, accountability, and clean practices in the management of a bureaucracy. To further the success of this Integrity Zone, a Agent of Change was formed who acts as a Role Model for all parties. As a role model, agents of change must be able to provide examples in attitude, behavior, and thinking. In addition, they must be able to provide creative solutions in dealing with problems in their agencies. And must be able to provide creative ideas to improve the performance of all parties. Sometimes, their ideas are not well documented. So a digital-based system is needed that can facilitate the work of these agents of change. For this reason, it is necessary to create a Web-based application for recording, reporting, and implementing change agent performance so that it is more optimal, efficient, and effective. In this study, the development of web-based applications using a framework with PHP-Native technology. Most PHP frameworks that exist today, use MVC and OOP technology but no one has utilized PHP-Native technology as a framework. This aims to facilitate the creation of applications for programmers who have not familiar with MVC or OOP concept
The Oyster Mushroom Harvesting Determination System Based On Image Processing and Multi Layer Perceptron
No full textOyster mushroom cultivation in Indonesia has seen rapid growth in recent years, particularly in South Sulawesi. The demand for oyster mushrooms is increasing as they are considered a nutritious food source. However, mushroom farmers are currently unable to fulfill market demand due to limited harvest yields. The primary factor contributing to this issue is the farmers' lack of skills in oyster mushroom cultivation. Therefore, an intelligent system is needed to identify and monitor the growth of oyster mushrooms, which can help to improve harvest yields. In this research, a system for determining oyster mushroom harvest timing will be designed using image processing techniques. This system will work by analyzing images of oyster mushrooms captured using a digital camera on the mushroom growing medium and then identifying visual characteristics that indicate mushroom maturity, such as color, texture, and size. The proposed method consists of several stages: image dataset collection, image preprocessing, image segmentation, morphological operations, feature extraction, and image classification based on Multi-Layer Perceptron (MLP). The dataset obtained includes 150 images of oyster mushrooms, divided into two classes: ready for harvest and not ready for harvest. The test results show that the proposed method can accurately identify oyster mushrooms as either ready for harvest or not. The classification model achieved an accuracy rate of 96.67%. By utilizing this technology, it is expected to enhance efficiency and consistency in the harvesting process and assist farmers in making informed decisions
Comparing BDD and TDD: Machine Learning Analysis of Software Quality with SHAP Interpretability
No full textThis study evaluates the impact of Behavior-Driven Development (BDD) and Test-Driven Development (TDD) on software quality using machine learning models, including Random Forest, XGBoost, and LightGBM. Key metrics such as bug detection, test coverage, and development time were analyzed using a dataset from multiple software projects. Polynomial feature expansion captured non-linear interactions, while SHapley Additive exPlanations (SHAP) enhanced interpretability. Results indicate that Random Forest achieved the best predictive accuracy, with an average RMSE of 7.64 and MAE of 6.39, outperforming XGBoost (average RMSE: 8.63, MAE: 7.37) and LightGBM (average RMSE: 6.89, MAE: 5.38). However, negative values across all models reveal challenges in generalization. SHAP analysis highlights the critical influence of higher-order interactions, particularly between test coverage and development time. These findings underscore the complexity of predicting software quality and suggest the need for additional features and advanced techniques to enhance model performance. This study provides a comprehensive, interpretable framework for assessing the comparative effectiveness of BDD and TDD in improving software quality
Development of a Higher Education Data Warehouse Using the Data Vault 2.0 Method
No full textIn this research, we investigate the potential of Data Vault 2.0 modeling as a solution to address the complexity of data management in higher education, which is often spread across multiple information systems. The main objective of this research is to confirm the effectiveness of Data Vault 2.0 in building a data warehouse, as well as facilitating the integration of data from different sources, such as the Academic Information System, Personnel Information System, and New Student Admission System. The research method used includes data collection and processing through the staging stage before being stored in the Data Vault structure consisting of hubs, links, and satellites. The research findings show that Data Vault 2.0 not only provides flexibility in development but also allows two developers to work in parallel without interfering with each other, speeding up the data integration process. In addition, the design evaluation results show that Data Vault 2.0 is able to accommodate dynamic changes in requirements, while facilitating the creation of dashboards for data visualization and analysis. The conclusion of this research emphasizes that although Data Vault 2.0 is more complicated than models such as star schema, it provides advantages in flexibility and better data integration. Further research is needed to address the challenges of data integration and deepen the understanding of the implementation of this model in various contexts
Design and Development of Coffee Machine Control System Using Fuzzy Logic
No full textThe food and beverage industry is currently rife in urban and outside cities. Many locations are used as places to sell drinks, especially coffee which is a native plant of Indonesia. Nowadays, coffee compounding requires good technology. There are many coffee processing machines on the market. The coffee machine is capable of making expresso coffee, latte coffee and others. This coffee machine also combines coffee ingredients, sugar and milk as a carrier for a delicious aroma. In addition, the water pressure from the coffee machine heating boiler, the strong pressure of the coffee machine piston also affects the results of making a cup of coffee, the stronger the pressure, the thicker the coffee produced and the slower the flow of water in the coffee machine. glass of water because basically the stronger the pressure applied to it. the coffee grounds, the tighter and tighter the gaps that the water itself will pass, as well as the thickness of the resulting coffee water will be more concentrated. With Fuzzy Inference, it is possible to determine the optimal pressure to be exerted by the coffee machine piston based on the weight of the coffee grounds (grams) on the coffee machine piston and the specifications of the type of coffee machine used. Determining the optimal pressure on the coffee grounds will affect the taste of the coffee water produced and the speed of making a cup of coffee. This study uses the optimal pressure on the piston using the fuzzy inference method. The purpose of this research is to create a simulation for evaluating the performance of a coffee machine using fuzzy logic to solve the problem of damage to the piston. The fuzzy approach in this research uses the fuzzy Takagi Sugeno Kang method
Implementation of CV Metha Developing Palembang Goods Ordering System
No full textAbstract
CV Metha Berkembang is one of the companies engaged in the production and sale of aluminum sills. The sales process on CV Metha Berkembang has not been computerized where orders are made with consumers coming directly to the company's location or being able to call the company's phone number. An uncomputerized ordering process is needed in a company, where the ordering system does not require consumers to come to the place. For this reason, an ordering information system is needed that can make it easier for CV Metha Berkembang to carry out ordering activities. The system development method used is the prototype method, while for modeling the system used, namely flowcharts, data flow diagrams and entity relationship diagrams and conducting functional testing with blackbox testing. The result of this final project is in the form of a Website Application that aims to help the ordering process. This application is useful for the admin department to be able to confirm orders and input sold stock data. With this application, it can help consumers, leaders, managers, and admins in processing order data, sales stock, and total stock of goods
Data Mining Selection of Prospective Government Employees with Employment Agreements using Naive Bayes Classifier
No full textThe implementation of health in Indonesia is still marked by problems in managing the workforce, especially among honorary health workers. The State Personnel Agency seeks to improve service quality by selecting good human resources to enhance community services. Several Ministries agreed to change the team member recruitment system from Prospective Civil Servants to Government Employees with Work Agreements. In the field, in the Government Employees with Work Agreements acceptance process, there are still pros and cons, both from the rules and the appointment process. The community hopes that the appointment process can be objective and open so that no group is disadvantaged. To achieve these expectations, researchers used data mining to classify health workers who would become Government Employees with Work Agreements. The data mining process uses probability with the Naive Bayes Classifier algorithm from historical data on Government Employees with Work Agreements receipts for 2021. Data on the history of Government Employees with Work Agreements acceptance of health workers as many as 1078 data have been filtered and cleaned. The results of testing the data are 0.00012 for the worthy assumptions and 0.0032 for the unworthy assumptions. Data processing results will be visually displayed using bubble diagrams and Python programming. The researcher concluded that the process of classifying prospective first-aid team members for medical personnel could be done by data mining using the Naïve Bayes algorithm. The results of this classification can be used as a reference for the following year's Government Employees with Work Agreements revenue classification process.
Smart Farming On IoT-Based Aeroponik Systems
No full textThe high population growth has an impact on all sectors, one of which has an impact on the agricultural sector as a result of the transfer of agricultural land. This diversion also has an impact on food supplies and ecosystem damage. To deal with these problems, it is necessary to seek the use of technology as a solution in the digitalization era. This research combines aeroponic plants with the help of Internet of Things (IoT) technology.This method has been used by many people to grow plants, especially short-lived vegetable crops such as lettuce, kale, spinach and other types. In planting using this method indoors it really requires special attention compared to planting outdoors. For example, the level of nutrient density, lighting, temperature and humidity in the room. But there are still some farmers or people who don't understand farming with an aeroponic system and how many benefits are felt. By using a smart system, the monitoring and supervision system for plants will get better, so thatfarmer or someone can get the result the more and the better the results by utilizing a piece of land that is not used or on the balcony of the house without having to bother renting other people's land. In order for the expected harvest to be abundant or even more, there are several conditions. Results obtained in this study is by monitoring aeroponic plants produce high quality vegetable crops compared to conventional systems that is
Pattern Recognition on Automated Guided Vehicles Two Wheel Drive (AGV 2WD) Robot for Location Detection Based on Raspberry Pi 4 Model B
No full textAGV (Automated Guided Vehicle) equipped with artificial intelligence (AI) is anticipated to boost Indonesia's industrial development. The little computer used to generate this robot's artificial intelligence used mechanical gears similar to those found in an eight-wheeled, two-wheel-drive car (2WD). This article outlines and demonstrates the usage of an AGV-controlled approach to determine a place inside a building by detecting text in different locations throughout the building. The current technique employs the programming languages Python and OpenCV. Optical Character Recognition (OCR) has been tweaked or enhanced for usage with OpenCV. Multiple texts are read using OCR as the principal technique. In this instance, OCR functions at many stages of the process, in addition to being employed for exploring letters and words, word translation, character classification, linguistic analysis, and adaptive character classification. The output text from the system's document processing procedure will likely contain the location or even the position of an AGV robot once the process has concluded. This text is produced from the text that was previously submitted using the camera function. After a thorough search, the AGV robot will go to the next area before returning to its starting point. The method above can be implemented on the AGV lab's hardware, which has a solid basi
Web-based information system design of Graveyard licensing Administration in Grogol Selatan sub-district
No full text: The role of service is very important in the current era of globalization, especially in government agencies engaged in services which will be needed by the applicant or the community. With time constraints and the impact of the Covid pandemic which has closed access to direct communication, it will make it difficult for some applicants or the public to apply for permits. The purpose of this research is to build a website that helps the One Stop Integrated Service (PTSP), so that applicants can apply online as one of the government's main functions in efforts to fulfill applications in the field of licensing services. Governor Regulation No. 47 of 2017 concerning instructions for the Implementation of One Stop Integrated Services (PTSP) for submitting applications for the issuance of Graveyard Land Use Permits (IPTM). This research is based on the waterfall software development method and data collection techniques with the results of observing the Web-Based Information System of Graveyard Licensing Administration in Grogol Selatan Sub-Distric