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Rapid technological developments have made internet access easier and increased smartphone use, including in Indonesia which occupies fourth place in the world with 160.23 million users.  One of the negative impacts is the increase in online gambling which can now be accessed easily.  This research aims to explore differences in levels of impulsivity in individuals with various levels of severity of online gambling addiction, using Whiteside and Lynam's (2001) theory of impulsivity.  The research method used is descriptive quantitative with data collection techniques using a questionnaire in the form of a Likert scale.  The research sample was Padang State University students who were addicted to online gambling, selected using a purposive sampling technique.  Data analysis was carried out using the Kruskal-Wallis statistical test.  The results showed that there was no significant difference in the level of impulsivity between individuals with mild, moderate and severe levels of gambling addiction (p > 0.05).     

The aim of this research is to find out the problems of using gadgets in early childhood, the factors that cause problems in using gadgets in early childhood, parents' efforts to overcome the problems of using gadgets in early childhood during the COVID-19 pandemic, Environment V, Tanjung Rejo Village, Medan Sunggal District . This research was conducted using a descriptive qualitative approach. The subjects in this research were parents of children aged 1-6 years in Environment V, Tanjung Rejo Village, Medan Sunggal District. The researcher's data collection process used interview, observation and documentation methods. Analysis of the data obtained by the author uses the Miles and Hubermen concept, namely data analysis, data reduction, data presentation, and drawing conclusions. The results of this research reveal: 1) the problem of using gadgets in early childhood during the COVID-19 pandemic is that children are addicted to watching YouTube, children's emotions are uncontrolled and children are less responsive when called; 2) the factor causing problems in using gadgets in early childhood during the COVID-19 pandemic is the busyness of parents to make their work easier and seeing the family environment playing with gadgets; 3) parents' efforts to overcome the problem of using gadgets in early childhood during the COVID-19 pandemic include providing alternative games, giving gadgets when the battery is low, hiding gadgets from children, being strict about prohibiting children, not filling internet quotas.

This research is motivated by the phenomenon in the decision-making process for overnight stays, which is suspected to be influenced by trust and E-WOM found on the internet. This research was conducted to identify and analyze the influence of Trust and E-WOM on guests' decisions to choose to stay at Daima Hotel Padang. The research population includes guests who have stayed at the hotel during the period from January to March 2025, with a sample size of 130 people obtained through non-probability sampling techniques. Data collection was conducted through questionnaires, observations, interviews, and literature studies. The partial analysis results show that the Trust variable has a significant influence on the decision to stay, as evidenced by a significance value of 0.137, which is less than 0.05 (0.137 < 0.05). Meanwhile, the testing of the E-WOM variable also shows a significant influence on the decision to stay, with a significance value of 0.005, which is also less than 0.05 (0.005 < 0.05).

The detection of hazardous gases, such as carbon monoxide (CO), is crucial for ensuring human safety and health, especially in enclosed environments or areas with a high potential for exposure to toxic gases. Carbon monoxide is a colorless, odorless gas that is extremely dangerous when inhaled in large amounts. Therefore, a CO detection system that can provide early warnings is essential. This research aims to design a carbon monoxide (CO) detector using the MQ-7 sensor, which can detect CO concentrations in the air. The detection system is developed based on Internet of Things (IoT) technology, enabling real-time CO detection data to be transmitted to a cloud platform or user devices via an internet connection. This allows users to monitor CO levels in their environment anytime and anywhere. The system consists of the MQ-7 sensor to detect CO levels, a microcontroller as the controller, and a communication module to send data to the internet. The main advantage of this system is its ability to notify users if CO levels exceed a safe threshold. Thus, this detector can function as a preventive tool against CO exposure accidents. The use of IoT in this system also facilitates remote monitoring, improving the effectiveness and efficiency of managing a safe environment.

During the COVID-19 pandemic, the implementation of teaching and learning activities underwent significant changes. Schools that usually conducted face-to face learning had to switch to online learning. However, online learning did not always run smoothly; many challenges emerged, particularly in terms of access to technology such as mobile phones, laptops, and stable internet connections. In addition, not all parents were able to accompany their children in learning from home due to busy schedules or limited knowledge. This situation made it difficult for students to understand the material delivered by teachers online. The home learning environment was also very different often unconducive and lacking direct interaction which led many students to feel confused and unmotivated. These challenges made the learning process during the pandemic less effective and required all parties to find solutions so that education could continue to run well, even when conducted online.  

The research aims to clarify the relationship between artificial intelligence and the future of the accounting profession, and to clarify the knowledge foundations of artificial intelligence and the future of the accounting profession and the application of the term artificial intelligence in the future of the accounting profession and highlight the position of the term artificial intelligence for the economic unit of the research sample, which is Asia cell Iraq Company. The research relied on the collection of data related to the theoretical aspect on a group of Arab and foreign sources related to the subject under research from books, research, studies, theses and university theses, as well as research and periodicals published on the Internet, as for the applied side, the research relied on field visits to the research sample and personal interviews with managers and officials in the research sample as well as to the accounting of the force the research reached a set of conclusions, the most important of which was that the subject of artificial intelligence itself is one of the contemporary topics that did not find any interest at the conceptual, practical and even academic levels, at least at the level of libraries and scientific research centers. After the results of the electronic field surveys showed that the Arab and Iraqi libraries are devoid of any author or detailed study on the subject, and in conclusion, the research reached a set of recommendations, the most important of which was the need to give the artificial intelligence variable greater research attention as one of the intellectual dialectics in contemporary literature in the field of accounting management and to highlight its role in achieving sustainable artificial advantage in the business environment.

The purpose of this quantitative descriptive study is to ascertain how students' learning outcomes in mathematics are impacted by the availability of learning facilities.  In order to increase learning outcomes, the teaching and learning process will be more successful if supported by sufficient facilities, such as  proper study tables, additional illumination sources, lighting indications throughout the house,  appropriate study chairs, appropriate bookcases, availability of math textbooks and worksheet books, internet access at home, sufficient cell phones, student-owned question banks, and internet use can all support learning activities. Thirty students in all took part, and checklists, questionnaires, and documentation were the instruments utilized to collect data.  Descriptive analysis of the learning outcome variable data revealed that 20 students in class XI, or 67.67%, finished with a Minimum Passed Value of 80, whereas 10 students, or 33.33%, were incomplete.  Using SPSS, a straightforward linear regression calculation method yielded the following results: Y = 98,793 + 0,590X.  The findings of the study demonstrate that student learning outcomes are influenced by the accessibility of learning facilities.  For additional study, you can focus on variables other than the availability of learning facilities that affect student learning results.

The rapid development of technology has led to increased use of the internet. Nowadays, almost the entire population of Indonesia uses the internet for online shopping. Through e-commerce, consumers can order products. This research was conducted to test the effect of Free Shipping, cash on delivery and customer reviews on e-commerce Shoppe purchase decisions on Uika Bogor Islamic Economics Students. This study uses quantitative research methods. The population in this study is a student of Islamic Economics UIKA Bogor with a sample of 105 people. Data collection techniques through observation, interviews and questionnaires, data analysis techniques used are multiple linear regression analysis. This study uses the SPSS 26.0 program. The results of hypothesis testing obtained Value t count Free Shipping (2.167) > t table (1.983), t count cash on delivery (2.871) > t table (1.983) and t count customer review (2.787) > t table (1.983) with significant level < 0.05. Thus H_1, H_2 and H_3 are accepted. Simultaneous testing results (test F), obtained the value of F count (16.918) > F table (2.69) with a significant level of 0.000 < 0.05. The results of this study can be concluded that free shipping, cash on delivery and customer reviews affect the decision to purchase online at e-commerce Shopee Islamic Economics Students UIKA Bogor.

Skincare Distributor Sr12 is a Distributor that provides herbal beauty products from PT. SR12 Herbal Perkasa. PT. SR12 Herbal Perkasa is a company engaged in the field of herbal & skin care which was established in 2015 by Toni Firmansyah, S. Farm., Apt as the main director, Asrianty Salam, S.Farm as a pharmacist who is responsible for Plant Operational. The Sr12 Distributor Store requires more active and wider marketing to increase sales. To improve marketing, an information system is needed that can make it easier for consumers to find information about product information and marketing of sr12 products. One of the media that is widely used in marketing is a website. A website is a collection of addresses that display interrelated information in the form of text, images, videos, animations, sounds or a combination of all of them that can be accessed using the internet. To build a website, a method is needed. Personal Extreme Programing (PXP) is a software development method that tries to simplify the various stages in the development process so that it becomes more addictive and flexible. Keywords: Information systems, single level, Personal Extreme Programming (PXP)

Fish is one of the easiest foods to get, but fish easily spoil. So there are 2 methods to extend the life of fish so that they do not experience a spoilage, namely drying and salting. In the 4.0 era, technology is growing rapidly, one of which is IoT-based technology, in order to help all activities carried out by humans to be more effective and efficient. The purpose of this study is to design an automatic salted fish dryer system using the Internet of Things (IoT) and determine the performance effectiveness of salted fish dryers using the Internet of Things (IoT). The research method of this scientific paper uses an experimental method to test the hypothesis that will be proposed and is useful for predicting an event. Data collection techniques using literature study, data collection, needs analysis, application design and application programming as well as algorithm implementation. Based on the results of the research, the design of an automatic salted fish drying equipment system based on the Internet of Things (IoT) has the ability to monitor the movement of the tool through a smartphone. All components of the appliance can operate automatically just by pressing the start button and setting the duration of the time and the existence of an Internet of Things (IoT)-based salted fish drying device can facilitate and streamline the time when the process of drying fish into salted fish. Initially, small anchovies weighing 100 grams were dried for 3 days, but after using a salted fish dryer, the drying process was reduced to 3 hours (09.00 a.m-13.00 p.m) with a moisture content of 18 grams, while small flying fish weighing 100 grams required a drying process for 5 days (09.00 a.m-13.00 p.m) and would have a moisture content of 30 grams in 3 hours after using a salted fish dryer.

This research aims to design a web server-based heart rate monitoring system, which enables real-time heart rate monitoring from a remote location. The system utilizes a heart rate sensor connected to a microcontroller to measure and transmit heart rate data to a web server via an internet connection. The data obtained can be accessed directly by the user through a web-based interface, thus facilitating the monitoring of individual health conditions in an efficient manner. In addition, the system is equipped with a notification feature that alerts the user if any irregularities in the heart rate are detected, such as beating too fast or slow. As such, the system has the potential to increase alertness and speed up medical action if needed. The development of this system shows significant potential in supporting technology-based health applications, both for personal use and in a broader healthcare context. It is hoped that the system can contribute towards the development of more integrated and accessible health monitoring solutions.      

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.

Research aims to design and develop a boiler system for heating Marine Fuel Oil (MFO) 180 CST by integrating Internet of Things (IoT) technology to enhance efficiency and operational monitoring. The methods used include boiler system design, selection of types and materials according to international standards, and the implementation of an optimal combustion system. IoT sensors are strategically placed to monitor key parameters such as temperature, pressure, and fluid flow in real-time. The collected data is transmitted to a cloud platform, enabling remote monitoring and automated performance analysis through a web or mobile-based application.. The research results indicate that IoT integration in the boiler system improves fuel heating efficiency, optimizes energy consumption, and facilitates easier monitoring and process control. Testing includes pressure tests, combustion efficiency, steam capacity, and material durability, with real-time monitoring to support performance analysis and early problem detection. Operational data evaluation allows for design adjustments or system settings to further enhance energy efficiency. With this innovation, the boiler system can operate more optimally, support energy efficiency, and facilitate predictive maintenance for sustainable industrial operations. The implementation of IoT in this system is expected to improve safety, effectiveness, and automation in boiler management, making it a more reliable and modern solution.

This study aims to design and build a hydraulic system capable of operating hatch opening and closing automatically and manually, with the application of Internet of Things (IoT) technology to monitor and control the system remotely. This system is designed to improve efficiency and ease of hatch operation on ships or other industrial applications, as well as prevent fires in cargo due to several factors such as unintentional negligence of the ship's crew and also weather factors with increasing temperatures. Where the automatic system uses a rain sensor to optimize time and energy, while manual control remains available as a backup option. This design involves the integration of hydraulic actuators, rain drop sensors, microcontrollers, and IoT communication modules that allow users to control and monitor the position of the hatch through a web-based application or mobile device. In compiling this scientific paper, researchers use experimental methods. This study shows the results that testing will be carried out directly by researchers, by testing the performance of the prototype of the automatic and manual hatch opening and closing hydraulic system design tool based on IoT by testing the effectiveness of the control system and sensor performance. In conclusion, this system successfully combines hydraulic and IoT technology to create an efficient, safe, and easy-to-use solution in practical applications.

Micro, Small, and Medium Enterprises (MSMEs) play a significant role in Indonesia's economic development, contributing to employment, income generation, and entrepreneurship. However, many MSMEs face challenges in adapting to technological advancements, particularly in implementing digital marketing strategies. This study aims to analyze how digital marketing can accelerate the development of MSMEs in Indonesia through a literature review approach. The findings highlight that digital marketing provides MSMEs with opportunities to expand their market reach, increase brand visibility, and optimize costs. Social media platforms, e-commerce, and other digital tools enable MSMEs to connect with customers more effectively. Despite these benefits, barriers such as limited technological access, lack of digital literacy, and uneven internet infrastructure hinder the adoption of digital marketing. Collaborative efforts from the government, educational institutions, and the private sector are necessary to overcome these obstacles. Providing training, improving access to technology, and fostering innovation are crucial steps to support MSMEs in achieving sustainable growth.

The rapid advancement of information technology has brought about new challenges for society, one of which is the widespread practice of online gambling. With unrestricted access across time and space, online gambling is easily accessible through mobile devices and the internet, making the public—especially those facing economic hardship, social influence, and easy access—highly vulnerable. Online gambling not only violates the law but also poses serious social and economic consequences, such as addiction, debt, family breakdowns, and a rise in criminal behavior. Through a Community Service (PkM) activity conducted by lecturers from the Faculty of Law, Sunan Bonang University, Tuban, in Panyuran Village, legal and social education regarding the dangers and sanctions of online gambling was provided. This activity used participatory and descriptive approaches through lectures and interactive discussions. The results showed an increase in participants’ understanding of the mechanisms, impacts, and legal consequences of online gambling, while also fostering awareness to avoid engaging in such illegal practices. Preventive efforts such as continuous education and family-based supervision are expected to serve as strategic measures to minimize the spread of online gambling within society.    

The study was conducted to analyze the relationship between the quality of human resources (HR) and economic growth in Indonesia which aims to determine the role of Human Resources, Education, and Government Policy in Indonesia's economic growth. By using descriptive qualitative research methods, data were collected through literature studies by collecting journals and articles spread across the Internet. The results of the study obtained were that 1) The Role of Human Resources in Economic Growth. 2) The Role of Education in Economic Growth. 3) The Role of Government Policy in Economic Growth. Based on the results of the study, it is expected that the government can continue to improve the quality of education and HR skills to improve the Indonesian economy.

This study aims to design and develop a GPS tracking system for ships integrated with Internet of Things (IoT) technology. The system enables real-time ship position monitoring via the Telegram application by utilizing ESP32, SIM800L, and GPS Neo 6M modules. The research employs an experimental method with both static and dynamic testing of hardware components such as GPS modules, SD cards, and battery performance. The test results demonstrate that the system successfully transmits accurate coordinate data to Telegram and logs the location on the SD card module. This system is expected to serve as an alternative solution to improve ship tracking security and efficiency, particularly in emergency situations or AIS signal loss.

This research concludes that the Income Level (TPP) received by workers at retirement is only 10% of the last salary obtained from the mandatory pension program, a decrease in income of 90% of the last salary. The monthly living cost needs of retirees in retirement (food, monthly shopping, water costs - electricity, internet, lifestyle, health insurance, etc.) obtained data of IDR 5,600,000, - or equivalent to 56% of the last salary per month. So in actual terms, the level of retirement income (TPP) of retirees in Indonesia there is a gap of IDR 4,600,000, - or 46% less than the last salary per month. This condition causes retirees to fail to maintain their standard of living in old age, in addition to experiencing financial problems in retirement. Factors that affect the amount of a person's TPP consist of: 1) type of work, 2) pension program participated in, 3) length of service and salary amount, 4) investment return rate from the pension program, 5) government regulations, 6) macroeconomic factors and inflation, 7) health conditions of retirees, 8) family responsibilities, and 9) pension fund education determine the size of the level of retirement income. Optimizing private pension funds plays an important role in increasing TPP as a guarantee of income in retirement and creating financial independence in old age, in addition to improving quality of life. For this reason, private pension funds must be managed more optimally to achieve significant investment performance, improve pension fund literacy, target formal and informal workers, and diversify adequate products and services through digitalization of pension fund access and services to encourage significant growth in private pension fund participation.

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.