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This research aims to explore public responses regarding the existence of mental health applications. This research was conducted using descriptive qualitative phenomenological methods. This research uses a phenomenological approach with data collection techniques using focus group discussions and interviews. The object of this research was students aged 16-22 years and who had experience with mental health. The data obtained came from 8 people in FGDs and 16 people in interviews with a trial period of 3-4 weeks. The results of the research show that the user interface has an effect on the user's perspective, application performance has an effect on the intention to use it continuously, emotional release has an effect on changes in individual behavior.

The integration of Green Internet of Things (Green IoT) systems in agriculture presents a promising solution for addressing critical challenges in water and energy usage. This study investigates the impact of real-time monitoring and data-driven irrigation control on resource optimization in precision agriculture. By incorporating soil moisture sensors, solar-powered IoT devices, and data analytics, the system aims to reduce water and energy consumption, enhancing sustainability in farming practices. The research finds that the Green IoT system can reduce water usage by up to 40% compared to traditional methods, while energy consumption is decreased by approximately 25% through the use of solar energy. The study also explores the advantages of implementing IoT-enabled systems, which ensure precise water delivery, preventing over-watering and under-watering, thereby improving crop yields and reducing waste. Despite these positive outcomes, the research identifies key challenges such as high initial costs, limited infrastructure in rural areas, and concerns related to data security. These barriers hinder the widespread adoption of Green IoT systems, especially in developing agricultural regions. Nonetheless, the findings highlight the potential of Green IoT to foster sustainable agricultural practices by promoting efficient resource use and reducing environmental impact. The study suggests that further research should explore the long-term economic implications of Green IoT adoption and investigate ways to overcome technical and financial challenges. Additionally, expanding the scope of Green IoT to other agricultural sectors, such as livestock farming, could enhance its applicability and overall impact on agricultural sustainability.

This study examines the impact of social media on body image perception and eating habits among young adults in Brazil. By analyzing survey responses and social media usage patterns, the research explores how online platforms contribute to body dissatisfaction, unhealthy dieting, and disordered eating behaviors. Findings reveal that frequent exposure to idealized body images and fitness-related content on social media is linked to negative self-perception and a greater likelihood of engaging in restrictive or compensatory eating practices. These results underscore the importance of digital health awareness programs aimed at promoting positive body image and balanced eating habits.

The recruitment and selection activities for prospective partners at BPS (Central Statistics Agency) involve a process of seeking and acquiring applicants capable of collaborating with government institutions. Various recruitment and selection methods for BPS partner candidates are commonly employed by government agencies, including job postings, employee recommendations, collaboration with universities, advertisements, and so forth. However, with the current technological advancements, the internet has become a widely used medium for job seekers. One of the methods in use today is through the use of applications. The effectiveness and efficiency of using applications in the recruitment and selection of BPS partner candidates aim to determine how well these applications perform in the process at the BPS Palu Central Statistics Agency. This research is qualitative in nature with a descriptive approach. Data collection techniques involve observation and interviews with prospective BPS partners in Palu. The results of these methods indicate that the effectiveness and efficiency of using applications in the recruitment and selection process for partner candidates are highly effective. This is evident in the significant number of applicants who register and the smooth execution in line with the application's usage. Prospective partners are targeted accurately, understand the program, adhere to timelines, and bring about tangible changes. Any shortcomings, issues, or obstacles in using the application can be resolved effectively, although challenges such as server website downtime need improvement to optimize the application for recruiting BPS partner candidates.

In the era of globalization, technology is developing rapidly, especially in the field of communication media, making the world feel more connected. Internet media, as a rapidly developing communication medium, has penetrated into various levels of society, becoming a necessity in daily activities. Social media networks such as Twitter, Facebook, SMS, BBM, Line, and WhatsApp (WA) have become the main means of delivering various information services. Through this social media network, public communication becomes easier and faster, creating a high level of usage among the public. WhatsApp (WA), as a popular social media service, is used effectively to share information both privately and publicly, not only by teenagers but also by adults. One of them is a WA group which is formed based on needs. For example, the Independent Student Exchange 3 (PMM3) group. Research on code mixing in the use of Indonesian on WhatsApp social media is based on Applied Sociolinguistic Theory.

Currently, mobile technology developments are increasing rapidly. Crompton and Burke (2018) conveyed that smartphone as one of mobile technology is is rapidly advancing. Approximately 90% of students possessed a smartphone, and a few even had multiple mobile phones. (Wong et al., 2010; Bhati & Song, 2019). This study aimed to examine how the students perceive the utilization of “Splash” as a media on learning listening skill. Splash is one of android program that developed by the English team in Stekom University. It is made for improve students’ listening skill and grammar skill. This research used quantitative descriptive. The sample consists of 50 students who taken language class. The result showed that there are positive attitudes from the students about the usage of “Splash” to improve listening skill. They can use it every time and everywhere without worried running out of internet package because this application doesn’t need internet package to use. The students also found that the content of this application is interesting. They also got post-activity activities and tasks to help them improve their skills.

The focus of this research is to find the usage of the transitivity processes in SIA’s selected song lyrics. This research is descriptive qualitative research. This study attempts to identify and investigate transitivity mechanisms that are employed in the SIA’s selected song lyrics. The source data of this research are the five selected song lyrics of SIA. Meanwhile, the data of this research are the clauses that used transitivity processes in SIA’s selected song lyrics. The interactive model is used to analyze the research's data. The results show that five of SIA’s song lyrics contain all six categories of transitivity processes, which include mental, relational, material, verbal, behavioral, and existential processes. From the six types of transitivity processes that are found, the material process is dominantly used in SIA’s selected song lyrics. It suggests a connection between the physical activity that occurs in the social phenomenon and the lyrics of the songs chosen by SIA. In order to fully comprehend the song's meaning, readers should be aware of transitivity processes. Along with that, it also benefits the songwriter by giving them more freedom to craft lyrics with a variety of language.

The SIAP application (Presence Activation Information System) has been implemented at the Personnel and Human Resources Development Agency since 2022. Although good attendance has been the first step, it also requires optimal bureaucratic performance as an effort to achieve institutional goals. The purpose of this study is to evaluate whether the use of the SIAP Application (Presence Activation Information System) has an influence on employee performance at the Personnel and Human Resources Development Agency (BKPSDM). This study used quantitative methods and involved the entire population, namely 38 employees of the Civil Service and Human Resources Development Agency. Data collection was carried out through distributing questionnaires to all BKPSDM employees as respondents, documentation and observation. The results of the analysis using the T test show that the significant value (0.002) is smaller than the probability of 0.05. Therefore, it can be concluded that the null hypothesis (Ho) is rejected and the alternative hypothesis (Ha) is accepted, which means "The use of the SIAP application has an influence on employee performance (Y)." Although the SIAP Application Usage Variable (X) and the Employee Performance Variable (Y) are related, respondents' responses show some shortcomings related to the use of the SIAP Application (Presence Activation Information System), such as unstable network access constraints. Nevertheless, good attendance still has a positive effect on improving employee performance. Employee Performance Evaluation shows deficiencies in the indicators of Quality, Quantity, Timeliness, and Independence.

In facing the increasing awareness of environmental impact, electric vehicles have become a primary focus in the global automotive industry. With the advancement of technology and the growing need for eco-friendly solutions, the evaluation of public sentiment towards electric vehicles becomes highly relevant. This research aims to analyze opinions expressed on Twitter regarding the use of electric vehicles using the Long Short Term Memory (LSTM) classification method. Utilizing a dataset of 30,000 entries, this study applies the LSTM algorithm to classify sentiment in tweets. Four different scenarios are tested, involving combinations of Continuous Bag of Words (CBOW) and Skip-Gram feature extraction methods, as well as data split percentages of 80:20 and 70:30. The research results demonstrate high accuracy levels across all scenarios, ranging from 85.16% to 85.9%. These findings indicate the effectiveness of sentiment analysis in gauging public perspectives on the use of electric vehicles. This study makes a significant contribution to understanding public sentiment related to electric vehicles based on Twitter data while highlighting the application of sentiment analysis techniques in the context of electric vehicle usage.

The points of this inquire about is to extend the inspiration to memorize expressions and culture of understudies in lesson X AK 2 SMK Negeri 2 Denpasar, semester 1 scholarly year 2023/2024 with the usage of the Jigsaw learning strategy. The sort of this inquire about is Classroom Activity Investigate that was carried out in two cycles, and each cycle had four stages, to be specific, (1) arranging, (2) executing activities, (3) watching, and (4) reflecting. The investigate was carried out from October to November with understudies of lesson X AK 2 SMK Negeri 2 Denpasar as a investigate subject. In collecting information utilized perception method, appraisal of introductions, documentation, and writing. The information examination procedure approach utilized incorporates a subjective expressive investigation approach and quantitative investigation. This inquire about appears an increment within the normal esteem of expressions and culture learning results in course X AK 2 SMK Negeri 2 Denpasar from cycle I to cycle II. In cycle I appears that the students' normal esteem of expressions and culture was 77, the most noteworthy score was 90, the least score was 67, and the victory pointer was 69%. In cycle II the students' normal esteem was 87, the most elevated score was 93, the least score was 82, and the victory indicator was 100%. The increase in understudy learning results reflects the increment in students' inspiration to memorize expressions and culture.

This study aims to examine errors in the morphological aspects found in the narrative texts of fifth-grade students at SD Negeri 5 Dersalam. The methodology employed is qualitative descriptive, focusing on data containing morphological errors or improper sentence usage. The narrative compositions of the fifth-grade students from SD Negeri 5 Dersalam serve as the primary data source. Data collection was conducted through the documentation of student compositions. The data analysis was carried out using the Milles Huberman analysis model. The research findings indicate a variety of language errors in the students' narrative texts, including errors in the use of prepositions, incorrect writing of standard words, and errors in affixation writing .

PT. Kalonika Bara Kusuma is a company operating in the mining sector located in the city of Samarinda, East Kalimantan province. To achieve maximum profits, PT. Kalonika Bara Kusuma adds or subtracts units according to the amount of turnover obtained in the previous month. However, after being evaluated, it turned out that this method was not effective. Because you only see at a glance the fluctuations in historical data. Sometimes when you have reduced units, it turns out that demand in the following month actually increases. This results in less than optimal profits because they cannot serve existing customer requests. Vice versa. This is what causes PT. Kalonika Bara Kusuma experienced difficulty in making a decision to add or subtract units. From this problem, the author created an application that can predict the amount of turnover in the next month and provide recommendations for deciding which camera units should be increased or decreased in number. To predict the amount of turnover using the Multiple Linear Regression method. After obtaining the predicted results for the amount of turnover, a test was carried out using the Mean Absolute Percentage (MAPE) with a result of 200%, which means that the Multiple Linear Regression method is not suitable to be used to predict the amount of turnover in the next period. Production forecasting is a form of decision making that is used as a basis in many manufacturing and service industries. Therefore, companies that are able to produce products on time and in the right quantities are companies that are able to survive the competition. This demand forecasting is used to forecast demand for products that are independent (not dependent), such as forecasting finished products. The multiple linear regression method is an analytical technique that tries to explain the relationship between two or more variables, especially between variables that contain cause and effect, called regression analysis. So in relation to the description above, this research aims to determine production forecasting using the multiple linear regression method at PT. Kalonica Bara Kusuma.The mining industry is a series of activities that have a long period of time and costs a lot of money, a series of industrial activities, namely mining activities which include digging, loading and hauling to obtain optimal profits from activities. One of the mining industries needs to be a study of operational costs for transportation equipment

This research aims to evaluate the differences in the use of the English language in electronic and manual documentation in nursing practice. Documentation is a crucial element in patient care, and with technological advancements, many healthcare institutions are transitioning from manual records to electronic documentation systems. The focus of this study is to identify variations in clarity, accuracy, and efficiency of nurse communication using both documentation methods.The research methodology involves surveys and document analysis on a sample of nurses engaged in both types of documentation. Surveys will assess nurses' perceptions regarding the clarity of documented information, the accuracy of information, and the efficiency of usage. The analyzed documents will include patient records, care plans, and incident reports.The research outcomes are expected to provide insights into the strengths and weaknesses of each documentation method, aiding healthcare organizations in decision-making regarding the implementation or development of documentation systems. The practical implications of this research can enhance nurse communication effectiveness and the quality of patient care, especially in the continually evolving healthcare information technology era.    

PDAM Tirtanadi is a company that provides clean water services to the general public, especially residents of HM Yamin and the surrounding area. PDAM Tirtanadi runs its operations with profits from customers who use its services. However, due to the large number of customer arrears, especially at the HM Yamin branch, the income received by PDAM Tirtanadi is less. The aim of this research is to identify variables that have the potential to cause customer water account arrears at the Tirtanadi Regional Drinking Water Company (PDAM) HM Yamin Branch. This study uses qualitative descriptions. In addition, during the research process, this research was carried out through observations, interviews and interviews, and document analysis. The research results show that the factors that cause water bill arrears include; 1) Customer economics; 2) Water is not running; 3) Water quality; 4) Buried meters; 5) Customer behavior to delay payment; and 6) Usage soars.