bit-Tech : Binary Digital - Technology

Designing Home Security With Esp32-Cam and IoT-Based Alarm Notification Using Telegram

2024-02-02T01:43:54+00:00

Nowadays, technological advances have entered human life. One of the security system solutions is the use of Closed Circuit Television (CCTV) as a monitoring medium, but it is still lacking. This is because more and more crimes are committed in homes where the owner is away. As a result, each home needs a security system that can protect the wealth and assets of the owner. Similarly, currently existing security systems are rarely able to provide data directly to homeowners if an outsider wants to commit a crime. So, research was conducted with the title "Home Security Design with ESP32-CAM and Internet of Things (IoT) Based Alarm Notification Using Telegram Application". With this device plan, it is believed that individuals who leave the house will feel safer. This device can detect an infrared wave produced by humans within its range and is equipped with an alarm/buzzer that produces output in the form of notifications on Telegram and alarm sounds on the device. The PIR sensor and ESP32-CAM integrated with the Telegram mobile device form the basis of this security system. This research has successfully implemented a device aimed at reducing home burglary issues by detecting human motion, triggering alarms, and enabling remote monitoring through Telegram. Additionally, the adapter utilized in the system produces an average voltage value of 5.196 V with an average error rate of approximately 3.9%.

Application of Data Mining to Predict Product Sales Using the K-Means Method

2023-10-14T01:51:28+00:00

Sales activities that run every day generate large amounts of transaction data which can become data stacks. This also happened in a bag-selling shop called Toko Blessing. Toko Blessing is a bag sales business that focuses on children's school supplies with various categories such as school bags, drink bottle bags, and lunch box bags which have several variants of models and motifs in each category. With so many product variations and manual reporting, Toko Blessing faces difficulties in determining which products are best-selling and need to be added in large quantities to meet buyer demands and avoid the accumulation of less desirable products. With the availability of large sales data, if processed properly this data can be used to design the right business strategy. The K-means method is used because it makes it easier for the store to analyze and classify data to find out the level of the product through large amounts of sales transaction data that can be done quickly. The K-means method aims to determine sales patterns by looking at Blessing Shop sales transactions to help find out which products are often sold/best-selling and to predict future sales. From the data mining application using the K-means method, sales reports were generated based on sales transaction data from January 2021 to December 2022 totaling 1,188 data, which can later be used to assist Blessing Stores in making decisions on which products are superior to predict sales in the coming year.

Design of Diabetes Prediction Application Using K-Nearest Neighbor Algorithm

2024-02-02T01:45:52+00:00

The development of diabetes continues to increase accompanied by an increase in unhealthy lifestyles with a high number of cases, making diabetes need to be continuously researched and developed to obtain useful information in terms of research related to diabetes. This study aims to predict diabetes using the K-Nearest Neighbor Algorithm and make a simulation of checking the disease and test the quality of the K-Nearest Neighbor Algorithm for diabetes and make comparisons with the Naïve Bayes algorithm. The K-Nearest Neighbor algorithm is the method used in this study because it has the advantage of being able to train data that is fast, simple, and easy to learn. The way this algorithm works is by calculating the distance between each row of training data and test data based on a predetermined K value. In the process of using the K-Nearest Neighbor, there is a Z-Score normalization stage which is used to adjust the values for each attribute of diabetes symptoms so that they have a range of values that are not too far away. Based on the results of the research and testing of the K-Nearest Neighbor that has been carried out, an accuracy of 97.12% is obtained and the Area Under Curve value is 0.872 which is included in the good classification category and these results have a greater accuracy value compared to previous studies on the same disease, namely Diabetes with the Naïve Bayes algorithm which produces the most optimal accuracy of 87.69%.

Network Attack Detection Using Intrusion Detection System Utilizing Snort Based on Telegram

2024-02-02T01:45:44+00:00

The constantly evolving of information technology landscape has made information security something of paramount importance, yet the development of information technology is not met with a corresponding advancement in its security systems. As a result, in the current era, there is a multitude of cybercrimes in the realm of the internet. Therefore, this research aims to create a computer network attack detector using the Linux operating system by leveraging the Telegram-based Snort application and employing the Intrusion Detection System (IDS) method through an IDS-based application, namely Snort. Additionally, this study incorporates features for blocking IP addresses and changing the Linux server password through the Telegram application for initial response when an attack is detected, accomplished by sending specific commands within the Telegram application. Furthermore, this paper also introduce a feature for categorizing the risk of computer network attacks into three categories: Low, Medium, and High within the Telegram application. The results of this research demonstrate that Snort can detect predefined rules and send alerts to the Telegram application for every attack occurring within the Wireless Local Area Network (WLAN). Successful IP address blocking is achieved through Telegram integration with the Iptables application, and changing the Linux server password is also accomplished through Telegram by integrating the bash shell programming language found in the Terminal of the Linux operating system. Finally, the risk of attacks can be viewed within the Telegram application.

Designing Prototype of Volume Detector for Medical Oxygen Cylinder Using NodeMCU ESP8266

2024-02-02T01:45:38+00:00

The COVID-19 pandemic posed significant challenges to the healthcare sector, particularly due to the imbalance between patient numbers and available medical staff, resulting in difficulties during emergencies. One such challenge was the prompt replacement of oxygen cylinders. Leveraging Internet of Things (IoT) technology, we developed a prototype oxygen cylinder volume detector aimed at providing early notifications to healthcare professionals. This prototype incorporates the NodeMCU ESP8266, equipped with an Infrared (IR) Obstacle Sensor. The sensor communicates with a relay to activate an MP3 module, delivering audible alerts. Furthermore, the NodeMCU ESP8266 system integrates CTBot to send text notifications through the Telegram application to the nearest healthcare personnel. Visual alerts are also provided through red LED lights attached to the cylinders, indicating which oxygen cylinder is approaching depletion. Comprehensive testing validated the proper functionality of all system components. This innovative oxygen cylinder detector prototype is designed to streamline healthcare worker and nurse workflows by offering quicker access to accurate information regarding the status of medical oxygen cylinders. Not only does this enhance patient care efficiency, but it also ensuring the availability of oxygen is crucial for critical patients.

Analysis and Design of Disease Diagnosis Systems and Patient Medicine Recommendations with Forward Chaining Method

2024-02-02T01:45:56+00:00

Technological developments have had a significant impact on many aspects of life, one of which is patient care in hospitals. Apart from using technology in patient care, technology also provides access to effective and efficient information storage and management to record patient data for treatment purposes. In outpatient services at hospitals, there are often complaints from employees regarding the health recording system which is less than optimal. Therefore, a system that manages disease diagnoses and patient treatment recommendations is something that needs to be developed, with the hope of speeding up the performance of medical personnel, so that they can help more patients who need help. The application system design aims to help manage information related to disease diagnosis and patient drug recommendations, where this system uses Forward Chaining to assist users in identifying diseases and prescribing drugs according to the diagnosis the patient is complaining about. By using the Forward Chaining methodology, medical personnel are able to obtain patient diagnosis results more quickly. The result is an application that can help medical personnel in serving outpatients from registration, examination, to exchanging medicines. This application has been tested using black-box testing involving several respondents, where respondents can feel that this application works well and helps hospital staff in examining patients.

Application of Markerless Augmented Reality on E-Catalog of Car Variations Using Natural Feature Tracking

2024-02-02T01:45:48+00:00

Information technology is widely used by business people in promoting the products and services they sell, this is very important especially for businesses that sell products that are not common, for example car variations. Car variation business is already widely found in various regions in Indonesia, but the car variation business has a relatively small and specialized market. The main cause is the lack of promotion of product knowledge to the public and the lack of interesting and practical forms of promotional media that make car variation products rarely seen by vehicle owners. Therefore, in this study, attempted on the application of augmented reality technology into the e-catalog application of car variations using the natural feature tracking method to help the visual augmentation process of car variation products that want to be seen as a form of promotional media for car variation products in general, the e-catalog itself were made using unity engine. From this research, the results obtained are: the application of augmented reality was successfully carried out on the Android e-catalog application, the attractiveness of the application display with a good indicator of 100%, the attractiveness of augmented reality with a percentage of 88.9% on good indicators and the appropriateness of application development with a percentage of 100% on good indicators, these result are obtained from questionnaires that are distributed to both coworker and random users as sample.

The Using Of Information Systems To Calculate Z-Score And To Determination Of Stunting Categories In Toddlers

2024-02-02T01:45:31+00:00

Information technology is an inseparable part of human work today. It is growing very rapidly along with the human need for the speed at which information is processed until it is displayed to the user. Information systems are now widely used in all sectors, ranging from: economy, agriculture, health and so on. In the health sector, many health facilities have used information systems to improve services, one of which is Posyandu. Posyandu is the front line in providing family health services at the village level. Currently, Posyandu focus is preventing malnutrition or stunting. Standardization of stunt calculation data often changes. In addition, the calculation and documentation of toddler examination data is also still done manually. This has an impact on the efficiency of the performance of staff in determining toddlers who are affected by stunting. Data integration with the Ministry of Health is also a problem when recorded manually. Therefore, it is proposed that an information system that functions to perform Z-Score calculations and classify them into stunting or non-stunting groups. The existence of this information system can also support the government to encourage data integration between local governments and the center regarding stunting data. It is hoped that this information system can help the work efficiency of health cadres to record toddlers who fall into the Stunting category. In addition, it is also possible for the government to access data stored in the system to support data integration.

Design of Health Monitoring System Based on Internet of Things (IoT): ESP8266 and BLYNK

2024-02-02T01:45:26+00:00

Health monitoring is important for living creatures. There are many things that are important factors in the health of living creatures, especially humans, including heart rate, body temperature and oxygen saturation. IoT technology is very helpful in the development of health technology so that it becomes possible to monitor patient health in real time and patient emergency information can be accessed easily. This research also aims to design an Android-based heart rate monitoring system using ESP8266 as a microcontroller. The sensor used is Max30102. The research method used is applied research, with experimental research methods. The research stages carried out were literature study, software design, hardware design, system testing, and analysis. The results of the research are the design of a patient health monitoring tool with three measured indicators, namely the patient's heart rate, body temperature and oxygen levels. The system can monitor in real time based on Internet of Things and can be accessed by Android and iOS. From the study results, it was found that the Android-based health monitoring system has an accuracy rate of 97.63% and it can be said that the system can be used for patient measurements. With details, 96.71% is the accuracy level for measuring heart rate, 96.45% accuracy level for measuring oxygen levels in the patient's body, and 99.75% accuracy level for measuring patient temperature.

Evaluation of Distance Measurement Using Complete Linkage Method

2024-02-02T01:45:22+00:00

Cluster analysis is the process of grouping a number of objects based on information obtained from data that explains the relationship between objects with the principle of maximizing similarities between members of one cluster and minimizing similarities between clusters. Cluster analysis is useful for identifying objects (recognition), supporting decision-making systems, and data mining. Cluster analysis consists of hierarchical (Average Linkage, Single Linkage, Complete Linkage, Ward's, and Centroid) and non-hierarchical (K-Means) methods. Each method generally has advantages and disadvantages. Apart from that, there are several distance measures that are commonly used in the grouping process, such as Euclidean, Canberra Metric, Czekanowski Coefficient, and others. In general, researchers will choose one or several cluster analysis methods as a comparison and a certain distance measure to be applied to the data in order to group objects based on certain criteria. In this research, a study and evaluation of Euclidean distance measures, Canberra Metric, and Czekanowski Coefficient were carried out using the Complete Linkage method based on simulated data. The conclusion obtained from evaluating measures of object similarity, namely Euclidean distance, Canberra Metric, and Czekanowski Coefficient by applying the Complete Linkage method, concluded that Euclidean distance is better used as a measure of object similarity in grouping cases compared to Canberra Metric and Czekanowski Coefficient.

Stock Forecasting Information System using the Holt-Winters Method

2024-02-02T01:46:02+00:00

In sales, prediction is an important element carried out by traders to help their sales efforts. Predictions involve assessing future values based on historical data. Problems that can arise from the combination of stock and transactions. The aim of this research is to create a sales prediction system, monitor sales and input transactions. This research uses the Holt-Winters method to predict sales. The main goal is to implement the findings of this research into a web administration site. In this research, transaction data is used as a basis for predictions using the Holt-Winters method. The Holt-Winters method uses a series of actual values for predictions. Parameters like Alpha, Gamma, and Beta are defined for weighting, and initial values are calculated for Trend, Level, and Seasonality attributes to achieve predicted results. Evaluation of the Holt-Winters method in this research involves searching for the Mean Absolute Percentage Error (MAPE) to determine the percentage of prediction error. The application of this research involves creating a website administration to assist sellers in combining transactions and available products. The average results of the evaluation of the administration of the website created resulted in a satisfaction percentage of 82.61%. This shows that the system can help in unifying transactions and products.

Implementation of Telegram Chatbot as an Effective Communication Means at SMK PGRI 1 Tangerang

2024-02-02T01:45:07+00:00

The use of technology in education continues to grow in response to demands for efficiency and effectiveness of communication in the school environment. This research aims to investigate the application of Telegram chatbots as an effective means of communication at SMK PGRI 1 Tangerang. The research method used is descriptive qualitative, focusing on collecting data through observation, interviews and content analysis of the use of Telegram chatbots among students, teachers and school administration staff. The research results show that the application of the Telegram chatbot as a means of communication has made a significant contribution to increasing interaction and access to information in the educational environment of SMK PGRI 1 Tangerang. Students, teachers and administrative staff showed a positive response to the use of Telegram chatbots as an efficient communication alternative, facilitating the exchange of information regarding schedules, assignments and other important information. Qualitative findings support the idea that Telegram chatbots have become an effective means of communication at SMK PGRI 1 Tangerang, opening up new opportunities for more dynamic interactions and easier accessibility of information among the school community. The implications of these findings indicate that the integration of communication technology such as the Telegram chatbot can be an innovation that has the potential to change the communication paradigm in the educational environment.

Web-Based Sukaraja Puskesmas Services Governance Information System

2024-02-02T01:45:17+00:00

The Community Health Center is a functional health organization which is a center for community health development which also fosters community participation in addition to providing comprehensive services to the community in its working area in the form of main activities. Currently, at the Sukaraja Community Health Center, all data recording is still done manually using paper media. Because increasingly modern technology requires Puskesmas as one of the health service providers to always improve the quality of its services. The use of computers to process data is very necessary because it can provide benefits and convenience in patient care. In this case, community health centers are required to always improve the professionalism of their employees and improve their health facilities or facilities to provide satisfaction to the community using health services. The objectives to be achieved are: Designing a website-based health center management information system, Improving the conventional health center service system with a computerized system. And makes it easier to process patient data for outpatient, inpatient, pharmacy, counter registration, administration (printing certificates/referrals & health center reports) and general clinics using the waterfall method. The stages of the waterfall method are Requirements, design, implementation, integration, Maintenance. The website-based governance information system that has been produced in this design can process patient data from outpatient, inpatient, emergency health centers and pharmacy services. With this website-based community health center management information system application, data at the Sukaraja Community Health Center is now integrated through a database so that it can process data effectively and efficiently and help provide good services.

Application Of Deep Learning For Image Deepfake Detector Using Convolutional Neural Network Algorithm

2024-02-02T01:45:34+00:00

Social media has long been used by the public in general as a means of exchanging information. Behind this commonly exchange of information, hide the malicious intent of those who are not responsible for spreading false information or hoaxes. This false information, which can come in various forms such as images, sounds, or videos, can actually be useful when used as stock photos or simply used as caricatures and satire. Unfortunately, false information often used on famous people instead to make them look like they said or did something that never happened. This certainly needs to be controlled, one of which is by using deepfake detector that aims to recognize false information pattern. Deepfake detector utilizes the computer's ability to self-learn to recognize that invisible patterns in images using one of deep learning algorithms, namely Convolutional Neural Network, which converts images into a collection of arrays containing numbers and then performs mathematical operations repeatedly on each layer. The result of the mathematical operation can then be used as a reference to determine whether an image is real or hoax. Author’s deepfake detector application using Convolutional Neural Network, specifically using the Resnet-50 model on hoax images created using AI with the ProGAN model, appears to be able to detect hoax images with the same model, with an accuracy of 85%, precision of 100%, and recall of 65%, but appears to experience decrease in accuracy when used in deepfakes with other models such as StyleGAN and BigGAN.

User Acceptance Testing through Blackbox Evaluation for Corn Distribution Information System

2024-02-02T01:44:59+00:00

Corn Distribution Information System in Bandar Lampung has witnessed a significant surge in interest, highlighting the importance of ensuring system reliability and functionality. This research endeavors to investigate and enhance these aspects through the application of the black box testing approach, focusing on the user-centric perspective of User Acceptance Testing (UAT). Black box testing, a methodology emphasizing system functionality without delving into internal structures, is complemented by UAT to provide comprehensive evaluation. In executing 27 study cases to evaluate the system, 22 patients demonstrated proper functionality, while 5 issues were identified. Notably, 4 issues pertained to the unavailability of the export function to CSV, and 1 patient encountered difficulties with road letter generation facilities. The discussion elucidates that UAT through Black Box proves to be a valuable approach, effectively bridging the methodological gap of traditional black box and providing insightful input from end users. Furthermore, this methodology successfully identified 5 focal points that can serve as development suggestions for the company's system, previously undiscovered. In conclusion, the study underscores the efficiency of integrating UAT with black box in enhancing Corn Distribution Information System's dependability and functionality. Identified issues shed light on areas for improvement, emphasizing the need for ongoing research in system testing methodologies. Future studies are recommended to explore the integration of UAT with white box testing, iterative testing for bug identification, and comprehensive security testing within the system network. This approach ensures a holistic evaluation, addressing potential limitations and contributing to the continuous refinement of the information system.

User Interface Experience Analysis of PMB Online Buddhi Dharma Using System Usability Scale

2024-02-02T01:45:14+00:00

In the era of advanced digital technologies, the admission process for new students (PMBs) has become a critical aspect of education. To streamline and expedite this process, educational institutions are increasingly utilizing online enrollment applications. One such application, PMB Online Buddhi Dharma, plays a crucial role in this context. However, the success of these applications is not solely determined by technical ease; user experience, particularly the User Interface (UI), plays a pivotal role in influencing user satisfaction and efficiency. This study employs the System Usability Scale (SUS) method to comprehensively analyze the UI of the PMB Online Buddhi Dharma application, providing insights into usability and user satisfaction. Drawing from previous studies utilizing SUS in similar contexts, the research aims to contribute to the development and enhancement of the application's UI. This research evaluates too the effectiveness of Buddhi Dharma University's PMB Online in meeting the digital registration needs of prospective students, emphasizing ease of use and user acceptance. Through the SUS method, the study assesses user satisfaction and ease of use, obtaining an average SUS score of 78 from 30 respondents. This score categorizes Buddhi Dharma University Online PMB as "good," indicating a commendable level of acceptance from users, predominantly prospective students. The research concludes with implications for the application's further improvement and development, emphasizing the importance of user-friendly interfaces in digital admission processes.

Optimizing Student Housing Search with MAUT-Based Dorm Finder Web System

2024-02-02T01:45:11+00:00

In response to the challenges faced by students in finding suitable temporary accommodations, this study introduces 'Dorm Finder,' a web-based information system utilizing Multi Attribute Utility Theory (MAUT). This innovative platform is designed to assist students in locating boarding houses that align with their preferences, taking into account amenities, location, and rental prices. MAUT allows for a nuanced and personalized decision-making process, enabling students to assign importance to various attributes, simplifying their search. The study also addresses the growing demand for efficient housing solutions, as the number of university students has increased by 4.02% in 2022. The research extends to evaluating the system's impact, aiming to support students in their search for accommodations that meet their specific needs based on key attributes. This evaluation will inform the development of more effective MAUT-based systems in the future. The use of MAUT in this context, with its demonstrated effectiveness in decision-making processes, reinforces the potential efficacy of the Dorm Finder system. The 'Dorm Finder' system offers a tailored platform that provides comprehensive information and customizes the search experience for individual student preferences. The system's design and implementation ensure an intuitive and efficient user experience through strategic interface design, including color selection, layout, and interactivity, facilitating a straightforward and enjoyable user journey. The system’s potential to revolutionize the way students locate and select accommodations is a significant contribution to the digitalization of the housing search sector.

The Use of Information Retrieval in Student Academic Document Plagiarism Detection System

2024-02-02T01:45:03+00:00

The practice of plagiarism can threaten the credibility of academic documents such as final assignments, theses, theses, and dissertations. Universitas Muhammadiyah Ponorogo (UMPO) is one of the best Muhammadiyah Universities in Indonesia. All academic documents at UMPO are well stored. However, plagiarism is only found in the Turnitin database and in the title of academic documents. This research aims to pre-screen academic documents in the internal scope by creating a plagiarism application that is easy to use and cheaper in terms of cost than using Turnitin. The steps of making a plagiarism detection system in academic documents using information retrieval (IR) with waterfall development. The design process starts from system requirements analysis, design, implementation, and testing. This plagiarism detection system goes through several stages, namely tokenisation, stopword removal, stemming, and termweigthing. Tokenisation involves converting uppercase letters into lowercase letters and removing punctuation marks. Stopword removal removes noise, stemming converts words into basic forms, and termweigthing uses local and global weighting to calculate similarity with the Vector Space Model. Document similarity is calculated using cosine similarity, rejected documents are considered free of plagiarism. If there is no similarity, the document is accepted as a source document, while the rejected document is not stored in the database. Further research on the document plagiarism detection system that previously only used the txt file extension, in the future it can use the .doc or HTML extension so as to increase the effectiveness of the performance of academic document examination time.

User Interface and User Experience Disaster Education Game Application Using Heuristic Evaluation

2024-02-02T01:44:50+00:00

Natural disaster educational game application to introduce Raudhatul Athfal (RA) level students to learning and knowledge. A game application was created to make it easier to recognize and complete a stage in the form of a game operated via computer, making it additional learning how to use a computer and knowing how to responsive and alert when a disaster strikes, what should be done through this application game? In order to better measure students' abilities when using this application, it is necessary to assess several respondents, one of whom is the teachers at the school, to assess whether this application will be of interest or not in understanding how to use it and other components. The assessment process is through distributing questionnaires and filling in the results through respondents using a Likert scale with heuristic evaluation indicators filled in with the statement that this application is interesting at the class size level for RA (Raudatul Athfal) students with a Visibility of system status score of 74, Match between system and real world tea 71, User control and freedom 58, Consistency and standards 72, Error prevention 64, Recognition rather than recall 73, Flexibility and efficiency of use 78, Helps users recognize diagnose 66, Recovers user 75, Help and documentation 79 with a total score of 710 using the Likert scale formula.

Application of Electre Method Decision Support System for Laptop Selection

2024-02-02T01:44:54+00:00

In the contemporary era, laptops have transitioned from being perceived as luxury items to becoming an essential tool for work, education, and various learning activities. The market is saturated with a plethora of laptop manufacturers, providing consumers with a wide array of options to cater to their specific needs and budget constraints. However, a common challenge faced by consumers is the mismatch between their requirements and the specifications of available laptops, often due to a lack of understanding. Addressing this issue requires the implementation of a suitable Decision Support System (DSS). The proposed solution involves employing the Electre method, renowned for its multicriteria approach. This method systematically eliminates unsuitable alternatives, facilitating the identification of laptops that align with the desired criteria. The process involves several key steps, such as defining criteria and alternatives, assigning weights, normalizing the decision matrix, determining concordance and discordance indices, and ultimately establishing an aggregate dominance matrix. By leveraging the Electre method, this Decision Support System can effectively recommend laptops that not only meet the consumer's specified criteria but also align with their budget constraints. This systematic approach aims to enhance the overall decision-making process, ensuring optimal satisfaction for laptop buyers in terms of both performance and financial considerations.

Designing A Mobile Web-Based Culinary Tourism of Information System in Pringsewu District

2024-02-02T01:44:46+00:00

The rapid growth of information technology has significantly impacted various aspects of human life, offering immense importance and assistance in daily tasks. Information technology, with its swift and easy access to information, time and cost efficiency, and enhanced communication, has become an invaluable tool in numerous fields. In the culinary industry, leveraging information technology can elevate service quality, making operations more effective and efficient. This study focuses on the development of an information system for Nggruput Culinary Tourism in Pringsewu District. The research methodology adopufated for this project follows the waterfall model, ensuring a systematic and well-organized approach to the development of the Nggruput Culinary tourism information system. The implementation of this system is designed as a mobile web application, providing visitors with easy access to pertinent information about Nggruput Culinary Tourism. This mobile web-based approach aims to streamline marketing efforts for businesses and enhance public accessibility to comprehensive information about Nggruput Pringsewu Culinary. By employing a mobile web platform, the information system promises to offer a user-friendly interface for both businesses and the public, fostering efficient communication and interaction. The anticipated outcome is an improved marketing strategy for Nggruput Culinary Tourism, providing businesses with a competitive edge while ensuring that the public receives detailed and easily accessible information. This integration of information technology is poised to contribute positively to the advancement and effectiveness of Nggruput Culinary Tourism in Pringsewu District.