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This study focuses on improving digital literacy and formal Indonesian language proficiency among the Indonesian diaspora community in Kampung Baru, Kuala Lumpur, Malaysia. The community faces challenges in adapting to digital technology and maintaining linguistic and cultural identity, which limits their socio-economic participation and engagement in community activities. The objective of this research is to develop and implement a community-based program that enhances digital skills while promoting national language usage and cultural preservation. The program employed a participatory and interactive approach, including workshops, hands-on practice, mentoring, role-play, and storytelling, targeting 30 participants comprising youth, MSME actors, teachers, village officials, and housewives. Pre-test and post-test evaluations, direct observation, and interviews were used to assess the impact of the program. The results show significant improvements in digital literacy, with participants demonstrating enhanced skills in e-mail usage, document sharing, e-wallet applications, and digital security awareness, with post-test gains ranging from 40% to 45%. Likewise, proficiency in formal Indonesian language, public speaking, and cultural knowledge increased by 25% to 28%, reflecting both technical and cultural skill development. The findings indicate that community-based, participatory learning integrated with cultural reinforcement effectively bridges the digital divide and strengthens linguistic identity among diaspora communities. The study concludes that such a hybrid model not only empowers participants in digital and linguistic capacities but also promotes cultural sustainability and social cohesion, offering a scalable and replicable framework for similar communities.

This study aims to analyze the influence of financial technology, risk tolerance, return expectation, and financial literacy on student investment decisions, with a specific focus on students of the Faculty of Economics and Business, Budi Luhur University, Jakarta. The increasing growth of young investors in Indonesia, particularly from Generation Z, emphasizes the urgency of understanding the behavioral and technological factors that shape their financial decision-making. The research employed a quantitative approach using purposive sampling by distributing online questionnaires to 100 executive class students, calculated using Slovin’s formula. Data collection was supported by literature reviews and documentation, while analysis was conducted using multiple linear regression with the help of SPSS version 26 and Microsoft Excel 2019. The results reveal that financial technology, return expectation, and financial literacy each have a positive and significant effect on student investment decisions. In contrast, risk tolerance shows a significant negative effect, suggesting that higher risk tolerance does not necessarily translate into better decision-making among students. These findings highlight the complex interplay of behavioral and cognitive factors in shaping investment choices. The study contributes to the field of behavioral finance and provides practical implications for financial education, suggesting the need for stronger integration of financial literacy programs and responsible fintech usage among young investors. In conclusion, enhancing financial knowledge and aligning return expectations are critical strategies to improve rational investment behavior in the digital era.

Human Organization Technology Net-Benefit (HOT-Fit) model is used to analyze information systems through 4 (four) dimensions: people, organization, technology, and net benefits. This study aims to analyze the implementation of RME with the HOT-Fit approach through data integration at RSIA Assyifa, Tangerang City. The research method is quantitative with data collection using a questionnaire distributed via Google Form. The sample consisted of 95 respondents of health workers and non-health workers who used RME. Data analysis was carried out using Structural Equation Modeling-Partial Least Square (SEM-PLS) version 3.0. In this study, there are 22 hypotheses, consisting of 17 direct influences and 5 (five) indirect influences. The results of the study show that system quality, information quality, and service quality have a significant positive effect on system use. Furthermore, system quality and information quality have a significant positive effect on user satisfaction, but service satisfaction does not affect user satisfaction. Next, system quality has a significant positive effect on organizational structure, as well as service quality which has a significant positive effect on the organizational environment. In addition, the organizational environment has a significant positive effect on net benefits, but in contrast to the variables of system usage, user satisfaction, and organizational structure which do not have a significant effect on net benefits. Related to the organizational aspect, the net benefit aspect, and data integration have a significant positive effect on RME implementation, while the technology aspect and human aspect do not have a significant effect on RME implementation. Data integration mediates the indirect effect of the technology aspect, the organization aspect, and the net benefit aspect on RME implementation, while data integration does not mediate the effect of the human aspect on RME implementation.

Social media has become an integral part of adolescents' lives, offering quick access to information, including reproductive health information. However, exposure to inaccurate information can pose risks. This study aims to analyze the relationship between social media use and adolescent reproductive health knowledge and behavior. A quantitative research method with a cross-sectional approach and chi-square test was used to examine the relationship between the independent variable (social media use) and the dependent variable (reproductive health knowledge and behavior). The study population was all 10th grade students (23 students) and 11th grade students (30 students) at SMK Tamansiswa Boja Kendal. A sample of 53 respondents was taken using an accidental sampling technique, consisting of students who happened to be present and willing to participate during the study. The results showed that the majority of respondents (56.6%) had low social media usage intensity. The majority of respondents also had a high level of knowledge (75.5%) about reproductive health, with an average score of 8.13 and a median of 10. Most respondents (66.0%) demonstrated positive reproductive health behavior. However, the chi-square test results showed no significant relationship between social media use and levels of knowledge (p = 0.673) or reproductive health behavior (p = 0.495). Although social media did not show a significant direct relationship to adolescent reproductive health knowledge and behavior in the context of this study, the high levels of knowledge and positive behaviors found indicate that existing educational programs, both in schools and from other sources, have been effective. Further research with larger samples and wider geographic variation is needed to understand other factors that influence adolescent health behavior.

Extraction is a crucial process for obtaining active compounds from natural materials, such as medicinal plants, spices, and other biomass. The success of the extraction process is greatly influenced by the method used, as each method has its own mechanism, efficiency, and yield. This study compared seven commonly used extraction methods: maceration, percolation, infusion, soxhletation, reflux, Ultrasound-Assisted Extraction (UAE), and Microwave-Assisted Extraction (MAE). Based on data collected from various scientific journals, it was found that modern methods such as UAE and MAE are capable of producing higher yields than conventional methods. Furthermore, both methods are more efficient in terms of extraction time and solvent usage, making them more environmentally friendly and suitable for industrial-scale applications. However, conventional methods such as maceration and percolation still play an important role, especially in initial research or in laboratories with limited equipment. For example, maceration is easy to perform, does not require high energy, and is suitable for heat-sensitive materials. Other factors that influence extraction results include the type of solvent, temperature, time, and the characteristics of the natural material itself. Therefore, the choice of extraction method must be tailored to the research objectives, the type of compound to be extracted, and the availability of resources and equipment. Combining several methods can also be considered to improve the efficiency and quality of the extraction results. It should be emphasized that extraction yield is influenced not only by the method, but also by the type of material, solvent, temperature, time, and particle size. Therefore, the choice of extraction method must be tailored to the nature of the material, the type of target compound, as well as the objectives and availability of resources. In some cases, a combination of extraction methods can also be used to increase efficiency and obtain optimal results.

 A workshop addressing the hazards of gadget usage in early infancy was conducted as community service at Posyandu ILP Kelinci, Keradenan Village, Banyuwangi Regency, East Java.  This initiative aimed to enhance parents' awareness and understanding of the significance of gadget usage while equipping them with practical skills to assist their children in utilizing gadgets securely and constructively.  The utilization of devices in early childhood can pose risks if not well monitored and restricted.  This workshop activity must be undertaken to inform parents about the potential effects of devices on children.  This program aims to educate parents and children about the advantages and dangers of gadget usage, along with strategies for prudent management.  This workshop activity employs a hybrid approach, integrating lecture and question-and-answer techniques.  Activity evaluation occurs both throughout the process and upon completion, concentrating on factors such as the attainment of objectives and the arrangement of activities.  The method and results were evaluated through documentation.  The assessment of the components of activity organization was conducted by observation.  The success metrics for the execution of the workshop on the Dangers of Using Gadgets in Early Childhood employ two methodologies: (1) evaluation during the activity process, and (2) post-evaluation of workshop activities.

This study aims to examine the role of Islamic Religious Education (PAI) in shaping students’ character in the digital era at SMK Negeri 1 Binjai. The research employed a descriptive qualitative method with a phenomenological approach. Data were collected through classroom observations, religious activities, interviews with PAI teachers, and questionnaires distributed to 50 tenth-grade students. The findings reveal that PAI plays a crucial role in instilling key character values, including discipline, honesty, responsibility, religiosity, and digital ethics. PAI teachers utilized interactive media, educational videos, and digital Qur’an applications, which enhanced students’ enthusiasm and facilitated better understanding of the subject matter. Based on the questionnaire results, 83% of students stated that PAI improved their discipline, 77% reported being more cautious in using social media, and 87% acknowledged that PAI fostered a greater sense of responsibility toward themselves and others. However, 60% of students still struggled to control their gadget usage, particularly for entertainment and online games. This indicates the need for continuous guidance and supervision from both teachers and parents. Overall, the study emphasizes that the effectiveness of PAI in the digital era depends on teachers’ competence in integrating technology, the role of exemplary behavior, and strong collaboration between schools and families. Therefore, PAI not only serves as a medium for delivering religious values but also as a vital instrument for shaping Islamic character, enabling students to face moral and social challenges in the digital age.

This study discusses the implementation of consumer law in the context of gold investment through PT X's digital application and the consumer protection guarantee mechanisms presented in the system. The research method used is normative juridical, namely a method that emphasizes the study of applicable positive legal norms, legal doctrine, and the application of relevant legal principles. The results of the study indicate that the implementation of consumer law in digital-based gold investment has been carried out in accordance with contractual principles as stipulated in civil law and in line with the provisions of Law Number 8 of 1999 concerning Consumer Protection. In practice, gold investment transactions through the X application are carried out with a mixed agreement containing elements of sale and purchase, deposit, and pawn. This is an important basis because the legal relationship between consumers and companies is not only a single transaction, but a combination that requires guaranteed protection of consumer rights. The legal basis for this mechanism is reflected in the X Digital Application Operational Guidelines Number 28 of 2024, which detailed administrative procedures, application usage requirements, and the implementation of consumer protection principles as stipulated in Articles 4, 7, 18, and 45 of the Consumer Protection Law. Thus, the implemented system not only emphasizes commercial aspects but also ensures a balance between the rights and obligations of consumers and businesses. This study highlights how digital transformation in financial services requires a robust legal framework to protect consumers from potential risks. Therefore, internal company regulations and guidelines play a strategic role in ensuring fairness and providing a sense of security for people investing in gold through digital applications.  

The manual, paper-based election of the Student Council President faces various challenges, such as the lengthy vote counting process and the potential for errors in the recapitulation. To address these issues, this study designed a web-based e-voting information system at SMK Negeri 4 Tangerang Regency. This system was built using the Rapid Application Development (RAD) method, which emphasizes speed of development through iteration and prototyping based on user feedback. The development results indicate that e-voting can accelerate voting and vote counting, provide real-time results, and reduce paper usage. This system has been tested using blackbox testing, proving that all functions work as expected and are easily accessible to students. The study concludes that the implementation of web-based e-voting can improve efficiency, security, and transparency in the election of the Student Council President, with suggestions for system usage simulations and regular usability evaluations. Furthermore, this study also shows that the implementation of a web-based e-voting system can reduce the potential for fraud that often occurs in manual elections. With an automated and integrated system, every vote cast by voters is recorded accurately, reducing human error in the vote counting process. System security is also maintained through authentication mechanisms that ensure only authorized users can vote, as well as data encryption to protect sensitive information. This increases voter confidence in the election results, as the process is more transparent and free from manipulation. Furthermore, although the e-voting system has proven effective in increasing election efficiency and accuracy, the study also recommends the need for training for system users, both students and election committee members, to ensure they can utilize the system optimally. Continuous evaluation of the system's usability is also crucial to ensure that the interface remains user-friendly and easily accessible to all parties.

The TikTok application, which now offers the TikTok Shop feature, is one example of how significant changes in the digital commerce industry have been fueled by information technology advancements. This feature creates a real-time interactive experience by enabling customers to shop directly through live broadcasting. The purpose of this study is to examine how using the live streaming feature affects purchasing decisions, particularly for students at STAI Sangatta. 64 students enrolled in STAI Sangatta's Islamic Economics Study Program were given a questionnaire as part of this quantitative field study. Validity tests, reliability tests, t and f tests, simple linear regression, and classical assumptions were used to assess the data. The analysis's findings indicate that live broadcasting significantly influences consumers' decisions to buy. The resulting regression equation is Y = 10.166 - 0.742X. The hypothesis is supported since the t-value of 10.178 is greater than the t-table of 1.999 and has a significance level of 0.000 (p < 0.05). At 103.584, the F test is likewise significant. The influence of the live streaming variable is indicated by the coefficient of determination (R2) of 62.6%, whilst other elements not included in this research model influence 37.4%.

The rapid development of the smart city concept encourages the need for energy management that is more efficient, sustainable and adaptive to the needs of modern urban communities. In this context, renewable energy is the main solution to reduce dependence on fossil energy sources that are limited and pollute the environment. This research aims to optimize the utilization of renewable energy in smart cities by integrating Big Data technology and Decision Support Systems (DSS). The approach used in this research is a case study and system modeling method, which involves collecting energy data from various sources such as IoT sensors, weather stations, and energy distribution systems in real-time. The data is then analyzed using Big Data Analytics techniques to identify energy consumption patterns, potential renewable energy production, and peak load predictions. Furthermore, a decision support system was designed to assist policy makers and city managers in determining optimal energy distribution and usage strategies based on the available data and simulations. The results show that the integration of Big Data and DSS is able to increase the efficiency of renewable energy utilization up to 25% compared to conventional systems. In addition, the system is also able to dynamically respond to changing conditions and provide more accurate and adaptive decision recommendations. These findings indicate that the synergy between data technology and decision support systems plays a strategic role in creating sustainable and environmentally sound smart cities.

The rapid growth of Micro and Small Enterprises (MSEs) in the culinary sector in Denpasar City has made a significant contribution to the regional economy and job creation. This sector has become one of the key drivers of local economic activity, attracting both residents and tourists. However, despite its potential, challenges persist. Fluctuations in the number of MSE actors and the suboptimal use of social media for marketing hinder sustainable income growth. Moreover, poor decisions regarding business location and inappropriate pricing strategies often become barriers to achieving business success. This study aims to analyze the simultaneous effects of business location, pricing, and social media usage on the income of culinary MSEs in Denpasar City. A quantitative approach was employed using a survey method, in which questionnaires were distributed to 99 culinary MSE actors. The collected data were analyzed using multiple linear regression to evaluate the influence of each variable both simultaneously and partially. The results reveal that business location, pricing, and social media usage together have a significant effect on MSE income. Partially, business location and pricing show a positive and significant influence, indicating that strategic location selection and competitive pricing play crucial roles in increasing income. In contrast, social media usage does not significantly affect income, suggesting that while digital platforms have potential as marketing tools, their benefits remain limited without effective content strategies and adequate digital literacy. These findings highlight the importance of strengthening fundamental business aspects, particularly location and pricing strategies, to improve MSE performance. Furthermore, policy support and targeted assistance programs focusing on enhancing digital literacy and managerial capacity among MSE actors are essential. By addressing these areas, the culinary sector in Denpasar City can achieve more sustainable growth and contribute even more effectively to the local economy.

The digital economy has significantly transformed economic growth by introducing innovations in payment systems and financial services. The modernization of payment instruments through monetary policy has enhanced the ability to control inflation and ensure financial system stability. This study aims to analyze the effectiveness of monetary policy and the utilization of the digital economy in maintaining financial stability in Indonesia. Using time series data from 2010 to 2024 obtained from the World Bank, this research applies the Vector Autoregression (VAR) method to examine both short-term and long-term relationships among variables, including e-money, money supply, inflation, exchange rate, interest rate, and credit card usage. The results show that e-money has a significant reciprocal influence on the money supply, while inflation is also affected by e-money and interest rates. The impulse response function demonstrates that the interactions among these variables tend to converge towards equilibrium over time. Variance decomposition analysis indicates that in the short term, e-money primarily drives financial stability, whereas in the medium and long term, the money supply plays a dominant role. Overall, the findings suggest that monetary policy, supported by digital economic systems, effectively enhances financial system stability in Indonesia. This research contributes to understanding the dual effect of digital payment innovations and provides recommendations for policymakers to strengthen financial inclusion, economic resilience, and macro-financial stability in the digital era.

Electricity has emerged as an essential requirement in modern life. As demand escalates, electricity costs rise, making wastefulness a drain on financial resources. Consequently, forecasting electricity usage can enhance our management of consumption. This study presents an IoT-based monitoring and forecasting system for electricity consumption. The system comprises two NodeMCU micro-controllers, a PZEM-004T sensor for collecting real-time power data, and three relays that regulate the current flow to three distinct electrical appliances. The data gathered is transmitted to a web application utilizing the k-Nearest Neighbor (k-NN) algorithm to forecast future electricity usage based on historical patterns. We evaluated the system's performance using four weeks of electricity consumption data. The results indicated that predictions were most accurate when the user’s daily consumption pattern remained stable, achieving a Mean Absolute Error (MAE) of approximately 1 watt and a Mean Absolute Percentage Error (MAPE) ranging from 1% to 1.7%. Additionally, predictions were notably precise during the early morning hours (3:00 AM to 8:00 AM) when k=6 was employed. This study demonstrates the effectiveness of integrating IoT-based systems with machine learning for real-time energy monitoring and forecasting. Furthermore, it emphasizes the application of data mining techniques within embedded IoT environments, providing valuable insights into the implementation of lightweight machine learning for smart energy systems.

The purpose of this study is to analyze the influence of dividend policy, capital structure, and investment opportunity set on firm value in the technology sector industry (A Study of Technology Sector Companies Listed on the Indonesia Stock Exchange (IDX) from 2018 to 2022). This study uses a quantitative approach with secondary data. The population of this study consists of companies operating in the technology industry that have gone public and are listed on the Indonesia Stock Exchange (IDX) from 2018 to 2022. The data collection method used is secondary data. The secondary data collection method was obtained from data available at the Indonesia Stock Exchange (IDX). The data processing techniques used in this study involved secondary data analysis conducted by the researcher with the assistance of E-Views 9 software. The results of this study indicate that dividend policy has a positive and significant effect on firm value, suggesting that investors in the technology sector still view dividends as a signal of financial stability. Capital structure has a positive and significant effect on firm value, indicating that optimal debt usage can enhance competitiveness and growth in the technology sector. Investment opportunities also have a positive and significant impact on firm value, as companies with high investment prospects are more attractive to investors and experience increased stock prices. Dividend policy, capital structure, and investment opportunities simultaneously have a significant impact on firm value, with firm size and profit growth as control variables that also strengthen this relationship.

Arabic language proficiency, a key element in Islamic religious education, requires adequate learning resources. One innovation that contributes to the learning process is the use of a digital Arabic-Indonesian dictionary. This study aims to identify the extent to which students utilize digital dictionaries and their impact on Arabic language learning. The study used a descriptive qualitative approach through data collection techniques such as observation, interviews, and documentation. Participants included students enrolled in the Arabic Language Education study program from the 2010 intake, lecturers teaching Arabic, and data on the use of digital dictionary applications. The study findings indicate that most students prefer using digital dictionaries due to their ease of access and comprehensive features, such as instant word search and examples of word usage in context. Students perceive digital dictionaries as more practical and efficient, especially for quickly searching for word meanings, which is very helpful in the intensive Arabic language learning process. However, several obstacles also arise, including low digital literacy among some students and limited internet access in some locations. On the other hand, lecturers at the Al-Zaytun Islamic Institute in Indonesia continue to encourage the use of printed dictionaries to train students' accuracy in searching for meanings, especially so that they do not rely solely on technology. Overall, the use of digital dictionaries has been proven to positively contribute to improving Arabic comprehension and sentence structure, making them an effective and relevant alternative learning resource in the digital age. The use of digital Arabic-Indonesian dictionaries also makes it easier for students to learn technical terms frequently used in academic and religious texts.

WhatsApp is one of the most widely used messaging platforms, offering fast and simple communication. Among its active users are students from Islamic boarding schools (santri), including those involved in micro, small, and medium enterprises (MSMEs). However, despite its convenience, many users lack awareness regarding digital safety and privacy, exposing them to cyber risks such as phishing, scams, and identity theft. In Nusukan, Surakarta, this issue is particularly relevant for santri who rely on WhatsApp for both academic and business communication. This community service initiative was conducted at Al-Mukminun Islamic Boarding School in Nusukan, Surakarta, with the aim of increasing awareness and understanding of safe WhatsApp usage among MSME santri. The program consisted of counseling sessions, which included lectures and interactive discussions tailored to the participants’ needs. Key topics included how to adjust privacy settings, identify suspicious links and messages, protect personal data, and recognize common cyber threats. Participants responded positively to the training. Feedback showed that 80% of them reported they would avoid clicking unknown links in messages. Another 80% stated they would refrain from sharing personal information with strangers. Furthermore, 80% expressed their commitment to regularly updating the WhatsApp application to ensure optimal security features are in place. This program successfully raised awareness and empowered santri with essential knowledge about digital communication safety. It highlights the importance of integrating communication psychology and practical digital literacy into community education to support secure online behavior for young entrepreneurs. Overall, this training shows that a contextual and applicable communication psychology approach is very effective in forming positive digital awareness and behavior in religious-based communities such as MSME students.

This research aimed to examine the influence of service quality and System Information Assurance (SIA) on the interest in using digital wallets among Accounting students at Politeknik Negeri Lampung. A purposive sampling method was employed, with a sample of 102 respondents selected through the distribution of questionnaires to Accounting students at the institution. The study focused on understanding how service quality and the assurance of system information (SIA) impacted the adoption and usage of digital wallets, which are increasingly popular in modern financial transactions. The data was analyzed using IBM SPSS version 26, employing statistical tests to determine the strength and significance of the relationship between these variables. The results of the analysis indicate that both service quality and SIA significantly influence students’ interest in using digital wallets. Specifically, the study found that better service quality and higher assurance of system security contribute positively to the students’ trust and interest in utilizing digital wallet applications. These findings suggest that financial service providers should prioritize improving service quality and strengthening system security measures to attract younger users, especially in academic settings where digital wallet usage is becoming more prevalent. Additionally, this research emphasizes the importance of understanding the factors that drive digital wallet adoption, particularly in the context of higher education students, who are key early adopters of digital payment solutions. The study’s findings offer valuable insights for digital wallet providers, educators, and policymakers in shaping strategies to enhance the acceptance and use of digital wallets among students in academic environments.

This study aims to analyze the implementation of election-level simplification from a legal perspective to overcome the waste of election resources and costs. Elections in Indonesia have faced various challenges, including waste in excessive paper usage, overlapping stages, and inefficient budget allocations. These inefficiencies not only burden the General Elections Commission (KPU) but also affect the effectiveness and transparency of the democratic process. Simplification of election levels is expected to be an effective solution to reduce the administrative and material burdens that hinder the implementation of elections. By streamlining the structure and reducing redundant stages, election organizers can focus more on quality, security, and public participation. This study uses a normative juridical approach by analyzing relevant laws and regulations, such as Law Number 7 of 2017 concerning General Elections, as well as various policies and proposals related to election-level simplification. The analysis also includes legal principles such as efficiency, effectiveness, and legal certainty. Furthermore, the study examines how other democratic countries manage election logistics efficiently to draw lessons that can be contextualized in Indonesia. The results of this study are expected to provide concrete policy recommendations that support the implementation of simplified election systems. These recommendations are aimed at optimizing the election process by minimizing waste, both in terms of budget and the use of natural and human resources, while maintaining the integrity and legitimacy of the democratic process. Thus, this study contributes to the discourse on election reform and democratic strengthening in Indonesia.

This study aims to analyze the potential utilization of empty space on the second floor of the domestic terminal of Zainuddin Abdul Madjid International Airport (ZAM) Lombok to increase revenue from the non-aeronautical sector. The background of this study is based on the importance of optimizing airport assets to support long-term financial sustainability. This is crucial considering that the aeronautical sector is highly dependent on fluctuating flight traffic. Therefore, the development of the non-aerospace sector is a strategic alternative that needs to be seriously addressed. The research method used is descriptive qualitative, with data collection techniques through direct observation on site, interviews with airport management, and documentation studies. The results of the observation indicate that there is an empty space on the second floor of the terminal, specifically between the waiting room and a row of commercial tenants, which has not been optimally utilized. This area is considered to have a strategic position and quite high passenger traffic, so it has the potential to be developed into a new commercial facility. One of the proposed developments is a photobox service business unit with a local Lombok cultural theme. This concept is considered interesting because it combines digital technology with elements of cultural tourism promotion, in line with the trend of tourist needs for documentation and unique experiences. A feasibility analysis was conducted using the Business Model Canvas approach and the 7P marketing strategy (product, price, place, promotion, people, process, and physical evidence). The results showed that this idea is feasible from both an operational and marketing perspective. The study concluded that developing a photo booth business in an empty airport area has the potential to become a new, stable, efficient, and market-relevant source of revenue. Recommendations are given to airport management to immediately realize the utilization of this area to support the airport's role as a regional economic and tourism hub.