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The main problem with the water heating system on offshore platforms is the absence of water level monitoring and automatic overflow detection. This has the potential to cause hot water spills that endanger workplace safety and operational efficiency. This research designs and implements a water level monitoring system based on the Arduino Uno microcontroller with HC-SR04 ultrasonic sensors. The system is equipped with LED indicators, a buzzer alarm, and a 16x2 LCD to display water level status in real-time. Water levels are classified into three zones (low, medium, high), and overflow is detected if the water is within 3 cm of the sensor. Testing was conducted on a 5-liter simulation tank representing actual 500-liter tank conditions. Test results showed a reading accuracy of 96% and a quick system response to overflow conditions (<1 second). This system is economical, easy to develop, and highly applicable for offshore environments. In addition, this system can be integrated with IoT technology for remote monitoring.

Abstract Kebakaran merupakan salah satu bencana yang dapat mengancam keselamatan jiwa dan harta benda, khususnya di lingkungan hunian padat seperti rumah kos. Kos Putri Kanaya Projo merupakan salah satu kos putri di Ungaran Timur, Kabupaten Semarang, yang berisiko tinggi mengalami kebakaran akibat kelalaian penghuni dalam penggunaan peralatan listrik maupun kompor gas. Penelitian ini bertujuan untuk merancang dan membangun sistem pendeteksi kebakaran dini berbasis mikrokontroler dengan dukungan teknologi Internet of Things (IoT).  Sistem dikembangkan menggunakan mikrokontroler ESP32 yang terhubung dengan sensor MQ-2 (asap/gas), sensor PIR (api), dan sensor DHT22 (suhu/kelembapan). Output sistem berupa notifikasi peringatan pada aplikasi Blynk, buzzer sebagai alarm suara, serta tampilan informasi melalui LCD. Metode penelitian yang digunakan adalah prototyping dengan tahapan perancangan, implementasi, pengujian, serta penyempurnaan sistem. Hasil pengujian menunjukkan bahwa sistem mampu mendeteksi asap, gas, suhu tinggi, dan api dengan akurasi di atas 90% serta memberikan notifikasi peringatan melalui aplikasi Blynk dengan waktu respon kurang dari 10 detik. Dengan demikian, sistem ini efektif sebagai solusi deteksi dini kebakaran pada lingkungan kos sehingga dapat meningkatkan keamanan dan meminimalisir risiko kerugian material maupun korban jiwa

Motorcycle theft remains a widespread issue that demands improved security solutions supported by modern technology.This research discusses the development and implementation of a motorcycle security system design using an ESP8266 microcontroller integrated incorporating the GPS Neo-7M positioning module, SW-420 vibration detection sensor, and an electronically controlled solenoid lock. The  implemented mechanism is monitored and controlled via the Telegram application, allowing the owner to receive real-time updates about the motorcycle’s status through a Telegram Bot. The development process involves hardware integration, ESP8266 programming, and functional testing. The SW-420 sensor detects vibrations as indicators of possible theft, triggering a buzzer alarm and sending instant notifications through Telegram. The GPS Neo-7M module provides location data in real time, automatically or upon user request, through a Google Maps link. Users can also lock or unlock the motorcycle remotely by sending the lock or /unlock commands via Telegram. Test results show that the system responds to vibrations in less than one second, delivers Telegram notifications within 3–5 seconds, and determines location with an accuracy of 3–10 meters. Overall, the proposed system offers an effective, practical, and low-cost solution to enhance motorcycle security.

Fire disasters can occur at any time in residential areas or schools, which are often triggered by electrical short circuits, the use of gas stoves, to minor negligence such as cigarette butts. As a preventive effort of Department of Education of Semarang, this research aims to create a prototype of a microcontroller-based early detection and fire suppression system with C programming. This tool uses NodeMCU as a control center that integrates fire sensors and DHT11 sensors to monitor room temperature in real-time. If the system detects any indication of fire or a significant temperature spike, a buzzer will activate as a warning alarm and the fan will work automatically to assist the initial extinguishing process.

Blood transfusion is a critical medical procedure that requires the blood to be at a temperature close to normal human body temperature, approximately 36– 38°C. Transfusing cold blood can lead to serious complications such as hypothermia, coagulation disorders, and even cardiac arrest. Therefore, a reliable and automated blood warming device is essential to ensure safe transfusions. This study aims to design and modify a Blood Warmer Thawing device based on the Arduino Uno microcontroller as an innovative and cost- effective solution, particularly for healthcare facilities with limited resources. The system integrates a DS18B20 temperature sensor to monitor the temperature of the heating medium in real time, with data displayed on a 20x4 I2C LCD. Users can set the desired temperature via a 4x4 keypad, and the system automatically adjusts the heater performance based on the detected temperature. To enhance safety and operational efficiency, the device is also equipped with a buzzer as a warning indicator when the temperature exceeds the safe threshold, and utilizes a DC motor and cooling fan to maintain proper heat circulation. Test results indicate that the device is capable of maintaining the liquid temperature within the ideal range for blood transfusions, with high stability and fast response to temperature changes. This innovation offers a practical, affordable, and easy-to-implement solution to support effective and safe blood transfusion procedures in various healthcare settings.

Floods are the most frequent natural disasters and cause material and non-material losses. One of the problems faced is the lack of early warning when floods occur. This problem can be overcome with a flood early warning system. This paper discusses the solution to this problem, namely by designing and implementing a real-time flood early warning system using IoT-based Internet of Things (IoT) technology ESP32 MQTT and APK Kodular. The objective of this research, compared to previous studies, shows a gap in the methods used. While previous studies used an IoT-based flood warning system that sends data via SMS or an HTTP server, this study applies real-time monitoring with the MQTT protocol, which allows sending water level data with low latency to the Kodular application for faster and more responsive warnings. The method used is to connect hardware with IoT where ESP32 is a client that sends data to MQTT and will display it in the Kodular APK. This flood early warning system consists of: ultrasonic sensors, ESP32, MQTT cloud, OLED, buzzer, LED, and APK on the phone to receive notifications through a mobile application created using Kodular. This IoT-based system is installed in the Kudu Regency river and can monitor water levels in real-time. Based on a predetermined threshold, the system can activate the LED indicator or buzzer and send an early warning message to the user via the APK on the phone. Test results show that this system functions effectively in providing flood warnings with an accuracy of 1-2 cm and in a timely manner, making it suitable for community-based flood monitoring solutions

Liquefied Petroleum Gas (LPG) leakage remains one of the leading causes of fires in both household and industrial environments, highlighting the urgent need for early detection systems that provide fast and accurate warnings. This study aims to design and implement an LPG leakage detection device based on the ESP8266 microcontroller, utilizing the MQ-6 gas sensor and a real-time notification system through Telegram Bot integration. The system operates by reading LPG gas concentration via the MQ-6 sensor, which is then processed by the ESP8266 to automatically activate a buzzer alarm and a DC fan when gas levels exceed the threshold of 200 ppm. Additionally, the system sends instant alert notifications to the user through the Telegram application, allowing remote monitoring of gas conditions. Real-time gas concentration data are also displayed using a 16x2 LCD for direct visualization. System testing was carried out through controlled gas leakage simulations, and the results showed that the device is capable of responding rapidly, with a reaction time of less than 2 seconds after detection, while consistently providing accurate warnings. The integration of Internet of Things (IoT) technology significantly enhances the effectiveness and efficiency of the system, enabling practical and accessible monitoring. Overall, the developed device demonstrates strong potential as an innovative solution to improve safety, minimize fire risks, and raise public awareness regarding the hazards of LPG leakage, making it suitable for practical application in households and small industries.

The rapid advancement of information technology has brought significant transformation across multiple sectors, including library management systems. One of the pressing needs in higher education libraries is the development of an efficient, accurate, and secure borrowing system that reduces human error and improves service quality. This study aims to design and implement a book borrowing system for the STMIK Kaputama library by utilizing Radio Frequency Identification (RFID) technology integrated with the Internet of Things (IoT). The proposed system employs the ESP32 microcontroller as the core controller, supported by the RFID RC522 module and buzzer as primary devices to facilitate the automatic identification of library members and borrowed books. The borrowing and returning process is executed through RFID card scanning, with all transaction data transmitted via WiFi and stored in a MySQL database, which is managed through a PHP-based web platform. The development process follows the Agile methodology, enabling iterative improvement and adaptability to user requirements. System testing demonstrates that the integration of RFID and IoT technology significantly enhances the efficiency, accuracy, and speed of library operations compared to the previous manual system. Furthermore, the system allows real-time recording of borrowing transactions, monitoring of user activities, and centralized data management. These features not only streamline library services but also improve data security and reduce the risk of loss or duplication of records. Overall, the implementation of this RFID-IoT-based system provides an innovative solution for modernizing library management, particularly in higher education institutions. The system ensures faster services, minimizes errors, and creates a structured and reliable digital infrastructure to support academic information services. This study highlights the potential of combining RFID and IoT technologies to improve the quality and effectiveness of library systems in the digital era.

The rapid technological development in the Society 5.0 era has brought about a transformation in digital political participation in Indonesia as well as changes in student political participation patterns. Students, as a young intellectual group, have their own unique ways of using social media for political participation. The purpose of this research is to understand the role of social media in student political participation in the Society 5.0 era. This study employs a qualitative method with a descriptive approach. In the data collection process, this research uses interview and documentation techniques involving 15 students who are engaged in intracampus organizations and students who actively use social media. To test data validity, this study uses a credibility test through source triangulation. The research findings show that Instagram and TikTok social media platforms are widely used for accessing political information. These social media platforms play an important role in shaping students' political awareness. In the Society 5.0 era, forms of student political participation through social media include engagement in online discussions, sharing political posts, and promoting hashtags related to political issues. The challenges of digital political participation include the prevalence of hoax news, buzzers, low literacy levels, and political polarization or conflicting viewpoints that become obstacles in utilizing social media as a space for student political participation.

This study aims to develop an automatic detection system to improve lift safety through early detection and rapid response to sling failure. The research method uses an experimental approach by designing a 3-story lift prototype that integrates a Raspberry Pi Pico microcontroller as the main processing unit, an HC-SR04 ultrasonic sensor to detect lift position, a limit switch to detect sling failure, and a mechanical braking system using a servo motor. The system is equipped with an I2C LCD for real-time display, Telegram notifications for remote monitoring, and a buzzer alarm as an early warning. The test results show that the ultrasonic sensor has a high accuracy of 97.58% with an average error of 2.42%. The system successfully detects sling failure and activates mechanical braking automatically, preventing the basket from falling freely and allowing it to stop on the nearest floor. All control functions such as navigation buttons, motor rotation direction, and limit switch accuracy work well. This system provides an innovative solution to improve elevator safety through the integration of automatic detection technology, real-time monitoring, and direct physical response that can be applied to the development of future elevator safety technology.

Liquid Petroleum Gas, commonly known as LPG, is widely used in household activities, especially for cooking. However, its flammable nature makes this gas very hazardous if a leak occurs, which can result in an explosion that damages buildings, endangers the safety of those living there, and causes financial losses. Recently, the improper or unsafe use of LPG gas has led to numerous accidents and fires. This raises serious concerns for the people who use it. LPG gas leaks are often difficult to detect due to various factors, such as the absence of the gas's distinctive odor or the absence of people around the leak location. This study aims to detect gas leaks to minimize or prevent fires and LPG gas explosions. The methods in the research that will be carried out include identification, literature study, data collection, design, implementation, system testing, and conclusions. In this study, the design and implementation of an LPG gas leak detection system based on Arduino will be carried out to minimize this risk. The system will use MQ-2 to determine the concentration of LPG gas in the air. When a leak is detected, the Arduino microcontroller will process the input and automatically close the solenoid and activate the buzzer as an alarm. The implementation and testing results concluded that the system can detect LPG leaks above 600 ppm and respond effectively by cutting off the gas supply and providing an audible warning. This system is expected to improve household safety by providing early warning of gas leaks. Future developments may include integration with an Android app for smartphones, enabling more practical remote monitoring.

The phenomenon of buzzers in digital advertising has become a critical concern in contemporary communication dynamics, due to their role in spreading covert messages for commercial and political purposes. This study aims to analyze the persuasive strategies and communication tactics of buzzers, algorithmic amplification patterns, and audience perceptions toward the disseminated content. Using a qualitative method through a systematic literature review, the study identifies three dominant buzzer strategies: native advertising, pseudo-influencer testimonials, and clickbait-based disinformation. These are often amplified through algorithmic tactics such as bot networks, trending hashtags, and endorsements by constructed influencer personas. Findings show that buzzer content is effective when perceived as authentic and emotionally engaging, but tends to generate resistance once users detect manipulation. The study’s implications highlight the need for greater transparency in digital communication, regulation of sponsored content, and improved media literacy to mitigate disinformation and public distrust. The research also emphasizes the importance of ethical approaches in digital communication practices to safeguard democratic integrity and sustainable brand–public relationships.

Disinformation in digital elections has emerged as a serious challenge to democracy in Indonesia, particularly when its dissemination involves cross-border actors and platforms. This phenomenon not only diminishes the quality of political participation and public trust in election outcomes, but also poses a threat to the state's information sovereignty. This study aims to identify the dominant forms of disinformation during the 2019 Presidential Election and leading up to the 2024 election, while analyzing their impact on democratic stability and Indonesia’s position in the global context. The findings indicate that political disinformation is systematically spread through social media by networks of domestic buzzers and anonymous accounts suspected to be connected with transnational actors. The consequences include heightened societal polarization, the delegitimization of electoral institutions, and increasing non-military foreign interference in domestic politics. These findings underscore the urgent need for more adaptive national strategies and international cooperation in establishing fair, transparent, and sovereignty-respecting information governance frameworks in democratic states.    

This research aims to explore the role of social media in Indonesia's digital democracy, by highlighting the tension between its function as a tool of hegemony or a means of emancipation. The background of this study is the increasing use of social media by political actors and civil society in voicing, shaping or criticizing public narratives ahead of the 2024 elections. This study uses a critical qualitative approach with a descriptive study design, and applies the Critical Discourse Analysis method and netnographic observation of political content on three main platforms: Twitter, TikTok, and Instagram. Data was collected through literature studies, digital documentation, and observation of user interactions in digital political campaigns. The results show that the digital space is dominated by hegemonic actors such as political elites, partisan buzzers, and platform algorithms that reinforce certain narratives. However, there are also spaces of emancipation formed by digital communities and independent content creators who use social media as a means of political education and symbolic resistance. Counter-narratives that emerge tend to be temporary and are often limited by distribution and visibility controls. These findings have important implications for the development of more critical and participatory digital literacy policies. In addition, this study contributes to the enrichment of critical communication theory, by affirming the importance of viewing social media as a complex pedagogical and ideological field in contemporary democratic practice.

The rapid advancement of the internet and social media has led to the emergence of social commerce, which integrates e-commerce with social media platforms. Reviews, as a form of electronic word-of-mouth (e-WOM), have become a key information source relied on by consumers in social commerce. However, the growing presence of buzzers and paid endorsements producing fake reviews has weakened the relevance and trustworthiness of e-WOM, including both online customer reviews and influencer reviews. This study aims to examine the impact of online customer reviews and influencer reviews on the purchase intention of Somethinc products on TikTok’s social commerce platform. The research adopts a quantitative approach with purposive sampling, involving 120 TikTok users in Bandar Lampung as respondents. Data were analyzed using multiple linear regression with SPSS 27 software. The findings reveal that both online customer reviews and influencer reviews significantly and positively influence purchase intention. These results suggest that exposure to online customer and influencer reviews can enhance consumers’ purchase intention toward Somethinc products on TikTok social commerce.

The high rate of motorcycle theft in Indonesia is a serious issue requiring an innovative, technology-based solution. This study aims to design and develop a motorcycle security system that integrates biometric authentication using a fingerprint sensor, real-time GPS tracking, and remote control based on the ESP32 microcontroller. The system allows users to start or stop the engine using registered fingerprints only, monitor vehicle location via GPS Tracker EV02, and control the motorcycle remotely through an internet-based application. Test results show that the system can accurately recognize fingerprints within 2 seconds, activate a buzzer for one minute upon unauthorized access attempts, and display the vehicle's location with an accuracy of 3–12 meters. Additionally, the use of the waterproof R503 fingerprint sensor ensures the system functions reliably in wet conditions. This integrated system has proven effective in enhancing the security of two-wheeled vehicles and offers a viable alternative to traditional security mechanisms.    

Efficient and accurate fuel management systems are becoming increasingly important as energy needs and operational complexity increase in various industrial sectors. This study aims to design and implement a fuel flow monitoring and control system using a variable control valve. This system allows real-time monitoring of the level and flow of fuel in the service tank on the ship, as well as automated control. In its implementation, ultrasonic sensors, control valves are combined with LM2596 connected to Arduino nano for data collection, analysis and visualization. The test results show that this system is able to provide accurate data on the flow and level of fuel in the service tank on the ship by displaying the measurement results on the LCD and providing warnings via a buzzer. The LCD display shows the reading of the fuel level and valve opening in the tank. At a fuel level of 0 - 25% the valve will open 100% and requires an average filling time of 25 seconds, At a fuel level of 25% - 50% the valve will open 75% and requires an average filling time of 27 seconds, At a fuel level of 50 - 75% the valve will open 50% and requires an average filling time of 30 seconds, At a fuel level of 75 - 99% the valve will open 25% and requires an average filling time of 32 seconds.

Fire is one of the incidents that disturbs homeowners because of the fire that will drain property and can claim lives when there is a lack of anticipation and minimal ignorance of the incident, such as when a fire occurs there is no early warning to the homeowner, this is also a cause of fire. The cause of the fire can be caused by a gas leak, electrical short circuit or caused by the community itself. Based on these problems, a solution is needed to create a safety system technology to be applied to the home kitchen, namely the design of an early detection system for fires based on the Internet Of Things (IoT) using ESP8266 which is useful for monitoring kitchen conditions and will automatically send a notification of the kitchen condition if the sensor reads an incident. The Hardware Design uses several tools consisting of ESP8266, Arduino R3. Jumper Cables, Fire Sensors, MQ-2 Gas Sensors, Mini Fans, Mini Water Pumps, Relays, Buzzers. and for the software design using Arduino IDE for system programming and Blynk as an application to display notifications. The designed system will be tested using black box testing which is used to determine whether the designed system will meet the specified parameters or not, and the results of the design state that the system is in accordance with the parameters used.