SMATIKA JURNAL : STIKI Informatika Jurnal

Prototype of Weather Monitoring System and Early Rain Warning Based on Internet of Things

2025-06-19T07:15:05+00:00

The condition of the air at a certain time and at a certain location over a short period of time is called weather. The term "time" refers to a mixture of meteorological factors that change over time. For example, the weather in the morning may be different from the afternoon and late hours. It is very important for humans to monitor, understand, and prepare for weather events. Weather information can be seen from weather information providers such as BMKG, but weather information on BMKG covers a wide area, so local areas such as villages have different weather even though they are in the same district. In addition, each weather information is presented in three-hour intervals and only covers a wide area, and there are no notifications in each area. Therefore, the purpose of this study is to create a prototype of a real-time weather monitoring system as well as an early warning of rain based on the internet of things (IOT) that can be accessed anywhere and anytime and the results are accurate and in accordance with environmental conditions, where the coverage is local areas such as villages so that there is no difference in weather information and early warning notifications. This research method uses the waterfall method with research stages carried out from data collection, needs analysis, design, creation of tools and program codes, and testing. This research produces weather information such as temperature, humidity, air pressure, wind speed, light conditions, and rain conditions, this research also produces weather notifications that can be used as early warnings of rain. The results of the study were also compared with data from BMKG, namely there was a significant difference between sensor values and notifications. This system can also be an alternative as a tool that can be used for weather monitoring and providing early warning notifications.

Design and Construction of an Environmental Monitoring System in a Cow Shed Based on the Internet of Things

2025-06-19T07:15:06+00:00

Cows are livestock that are generally kept by the community, especially in rural areas. According to data from the Central Statistics Agency (BPS), in 2021 the beef cattle population reached 17,977,214, an increase compared to the previous year which was recorded at 17,440,393. Environmental factors in cow sheds can directly affect livestock, causing stress due to extreme temperatures, both hot and cold, resulting in decreased feed consumption and discomfort. High levels of ammonia gas from cow dung waste can affect cow resistance to disease and reduce cow productivity and can cause health problems for the surrounding community. This study aims to design an Internet of Things (IoT)-based cow shed environmental monitoring system. The method in this study uses several stages, namely data collection, needs analysis, design, planning and testing. The system created can monitor temperature, humidity and ammonia gas in the cow shed environment and display this information on a mobile application. In the mobile application, information from sensor values can be displayed in high, medium, and low categories during monitoring. The tool testing technique was carried out with 10 samples, the results showed that the temperature detector had an accuracy level of 91.13%, the humidity detector showed a value of 94.52% and the ammonia gas detector showed the highest value of 34.8 ppm at a distance of 10 cm and the smallest of 6.6 ppm at a distance of 100 cm. The results of this study indicate that the developed IoT system is effective in monitoring important parameters such as temperature, humidity, and ammonia gas in real-time. This can increase efficiency for farmers in monitoring environmental conditions in the cage, which was previously done manually.

Employee Performance Assessment in the Field of Public Infrastructure and Facilities Handling Using the C4.5 Decision Tree Algorithm

2025-06-19T07:15:07+00:00

One way that should be finished to decide representative execution is to decide the worth that has been gotten equitably founded on the discipline measures of participation, obligation regarding finishing work, and consistence with commitments and denials, utilizing the C4.5 choice tree calculation. The data studied was the Worker Performance Evaluation Form with a total of 108 workers, in 2023-2024 based on certain criteria with the data selected being 96 active workers. This data has several criteria, namely attendance discipline, responsibility for completing work, and compliance with obligations and prohibitions. The main aim of this writing is to determine employee performance from each criterion. The C4.5 decision tree algorithm can assist in the decision-making process regarding improving the performance and training of workers in the field of handling public infrastructure and facilities. You can see the results of the research that has been carried out as training data, the gain and entrophy values have been calculated. In the first partition, the highest gain value was obtained for Compliance with Obligations and Prohibitions with a value of 0.489943 and the smallest was Responsibility for Completion of Work with a value of 0.172824. This algorithm can be used to determine employee performance as a candidate for employee performance which will be determined by the relevant agency.

Simple Additive Weighting Method for Selection of Social Media in Digital Marketing for Culinary MSMEs in Banjarmasin City

2025-06-24T01:41:56+00:00

Digital marketing has become very important because the world of marketing has changed through advances in information technology. Interactive and integrated marketing that allows market intermediaries, potential consumers and producers to interact with each other. Instagram, WhatsApp, Twitter, Facebook, Telegram, TikTok, YouTube, and Shopee are social media that are often used in digital marketing. In this research, the data used is Banjarmasin City Culinary UMKM data obtained through a questionnaire totaling 174 respondent data which was distributed to the Banjarmasin City Culinary UMKM group. Data obtained from decision support system calculations using the Simple Additive Weighting method shows that many social media that are popular in society may not be suitable for use as digital media for culinary marketing. The results of the Simple Additive Weighting research show that it can be used to help culinary MSMEs in Banjarmasin City in making decisions about the use of social media through social media ranking results. This decision is reviewed based on several criteria such as length of business, length of use of social media, income and age. The length of business is because the longer the business lasts, the more people will know it. The length of use of social media is because the longer people use social media, the more they understand how to use the features and benefits of the features on social media. The greater the income in the business, the faster the business will develop. If you are at a more ideal age for running a business, your business will develop quickly because you have creative ideas and broad insight into business. The results of the Simple Additive Weighting method research show that WhatsApp has an accuracy value of 0.92, while Telegram has an accuracy value of 0.715. The concrete impact of the results of this research is that social media can help increase sales and the Simple Additive Weighting method can be used as a decision maker in selecting social media as a marketing medium so that Culinary MSMEs do not make the wrong choice in using social media.

Mapping Literature and Research Trends on AI Applications in Journalism: A Bibliometric Review

2025-06-24T01:55:26+00:00

An emerging field of interdisciplinary research that needs more focus is the application of AI in journalism. The bibliometric analysis of the most recent research on implementation in digital journalism is presented in this paper. From Scopus, publications from 2014 to 2023 were examined to determine subjects, performance, impact, and collaborations. The findings indicate a rise in yearly production, with over 88 publications released in 2023 attesting to heightened research activity. Additionally, more recent publications had a more significant citation effect, demonstrating their relevance today. The majority of the prolific writers are from America, China, and Spain. International collaborations are centered around the West, between the United States and China, and the United States and Korea. This offers a standard that will guide future research in this enormously promising field. For AI to be implemented in digital journalism in a responsible manner, under-represented groups must be more involved.

Implementation of Internet of Thing to Automatically Monitor Water Filling and Usage

2025-06-24T02:36:25+00:00

This research aims to address efficiency issues in household water management through the implementation of the Internet of Things (IoT) on an automated water reservoir system. The problem identified is the lack of efficient control and monitoring of water replenishment and usage, which often leads to wastage and mismatch with homeowners' needs. This research design adopts an IoT-based approach that enables real-time monitoring and remote control via a web application. The system is also equipped with sensors to detect pipe leaks and monitor water pressure. Analysis of the developed system shows that the device is able to provide accurate and responsive data regarding the condition of the water reservoir, and allows users to control water replenishment as needed. This finding shows a significant improvement in water usage efficiency, as well as reducing potential waste due to leaks and inaccuracies in filling the reservoir. The conclusion of this research is that the designed IoT system can be an effective solution for household water management, providing convenience and better control for users, and has the potential to be widely applied in water management at the home scale.

Application Types Of Drugs For Young Generation Based On Augmented Reality

2025-06-24T02:47:36+00:00

Drugs are a serious threat to public health, especially the younger generation. Drug education has been carried out by the national narcotics agency but the reduction is not optimal, so a technology known as Augmented Reality (AR) is needed. The aim of research on educational applications on types of drugs for the young generation based on Augmented Reality is to make it easier for the young generation to understand about drugs and make users more interactive and interesting. This research was developed using the Multimedia Development Life Cycle research method. This method has six stages starting from the concept to the distribution results of the applications that have been created. From the research stages that have been carried out, the results of the Augmented Reality Education application on the types and side effects of drugs were obtained. This application still has limitations on Samsung Android devices. It doesn't support the Easy AR plugin. This application was created using the Markless Bassed Tracking method and uses black box testing with a very good category. This application can be used for education for the younger generation and the wider community.

Aplikasi Augmented Reality Untuk Pengenalan Panca Indera Manusia

2025-06-24T03:23:59+00:00

This study aims to design a maekerless Augmented Reality based application as a interactive learning media for the introduction of the five human senses for elementary school students. This application uses the Multimedia Development Life Cycle (MDLC) method because it is in accordance with the manufacturing stage. Features in This application displays 3D visualization of the organs of the five senses that can be manipulated by the user, complete with additional information in the form of text and audio. Feasibility testing conducted on elementary school students and teacher showed that the app had an excellent succes rate, with an average score of 98,1% based on a Likert Scale. This result shows that the application succesfully increasses student interest and effectively improves students understanding of the aterial of the five senses.