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. One of the most popular types of e-commerce today is the marketplace which is widely used by people to run businesses and helps them shop online to meet their needs. Shopee is one of them because it is often visited via the website. This research uses a quantitative approach method by utilizing primary data as a data source obtained from the results of a questionnaire in the form of a Google form. The analysis techniques used are data quality tests (validity and reliability tests), classical assumption tests (normality test, heteroscedasticity, multicollinearity and multiple linear regression), hypothesis testing (partial t test). ) and f test (simultaneous) and coefficient of determination test (R2). Data processing in this research uses SPSS version 25. Based on research, it shows that trust has a partial effect on purchasing decisions with a sig. 0.008. Transaction security does not partially influence purchasing decisions with a sig value. 0.296. Service quality partially influences purchasing decisions with a sig value. 0,000. So trust, transaction security and service quality influence decisions with a sig value of 0.015.

This research is motivated by the influence of gold price fluctuations on customer decisions to transact at Pegadaian (Case Study of Simpang Empat Pegadaian). With the aim of knowing how influential gold price fluctuations are on customer decisions to transact at Simpang Empat Pawnshop. This research uses quantitative methods. The population in this study were Simpang Empat Pawnshop customers. The data collection technique used was by filling out a questionnaire distributed to 91 customers who were sampled. The data used were obtained from primary data and secondary data. The data analysis technique uses simple linear regression analysis. From the test conducted, H0 is rejected while H1 is accepted with an F table value of 12.954 (f count 12.954> f table 3.947) and a significant level of 0.00. This shows that there is a positive and significant effect of the gold price fluctuation variable (X) on customer transaction decisions (Y) Simpang Empat Branch Pawnshop. It can be concluded that the results of this study are in line with previous research, proving that the variable influence of gold price fluctuations has a positive and significant effect on the variable customer transaction decisions at Pegdaian (Case Study of Simpang Empat Pegadaian). What distinguishes it from previous research or previous researchers is the year of research, several data processing methods and the place of research. For the Simpang Empat Pegadaian institution, as an institution that operates in the field of pawnshop services, which cannot be separated from the financial system, of course this research will be very helpful for developing quality and as a reference for becoming a better institution and making customer decisions to transact at Simpang Empat Pegadaian is the right decision.

The development of the digital economy in developing countries is expected to encourage economic growth, increase resources and workforce efficiency, provide access to international markets, and reduce transaction costs. The research aims to offer practical and affordable solutions for those who want to explore nature without having to buy their own equipment and provide information and advice on destinations, safety tips and equipment guides, as well as supporting the adventure community. This design uses the Design Thinking method, which is an iterative process that aims to understand users, define problems in depth, and find solutions that meet their needs. The result of this research is the Adventure Sphere Application Prototype, which contains profile, homepage, product display, basket and product video features. It is hoped that this application will make it easier for buyers to rent outdoor equipment and this application will also provide useful information to renters regarding the use of outdoor equipment.

TikTok Shop is one of the most popular social commerce for Indonesian people to make product purchase transactions. Advertising on TikTok Shop social commerce is inseparable from Electronic Word of Mouth (e-WOM). In today's era, e-WOM is considered as one of the important aspects that influences online shopping activities. This study aims to determine the effect of e-WOM on consumers in purchasing products on TikTok Shop social commerce. The type of research used is qualitative with a descriptive method in order to obtain an explanation of the phenomenon of e-WOM. The data collection technique was carried out by interviewing respondents who were the samples in this study. The sample in this study used a purposive sampling technique. There are three indicators that are used to assess e-WOM, namely intensity, consumer opinion, and content. The results of these three indicators show that e-WOM has been implemented well as a consideration for consumers in deciding to purchase products on TikTok Shop. This is expected to be a reference for sellers on TikTok Shop to always create marketing strategies by utilizing e-WOM.    

This research examines the juridical protection provided by the government to victims of illegal online investment crimes as regulated in Article 378 of the Criminal Code (KUHP) and Article 28 paragraph (1) of Law Number 19 of 2016 concerning Amendments to the Law Number 11 of 2008 concerning Information and Electronic Transactions. Apart from that, the provisions on criminal acts of gambling regulated in Article 303 bis Paragraph (1) of the Criminal Code are also used as a reference in this research. This research analyzes the typology of victims and the factors that cause illegal investments both online and conventional. Based on this analysis, researchers identified three types of factors that influence victims of illegal investment, namely Latent or Predisposed Victims (victims influenced by economic factors), Participating Victims (victims with low education), and False Victims (victims due to consumer behavior). In this context, researchers recommend the need for more detailed legal updates regarding online investment regulations. This update aims to strengthen the protection of the rights of investors and society as a whole, so that they feel more confident and safe in making investments. With more comprehensive regulations, the government can provide better protection for victims of illegal investment crimes and prevent illegal practices that harm society.

This research aims to determine the influence of features, product variations and ease of transactions on mobile banking user satisfaction at sharia banking financial institutions in Jambi City. This research used a quantitative approach which was carried out by distributing questionnaires to 112 Mobile Banking users in Jambi City. The methods used in this research are instrument tests (validity and reliability tests), classical assumption tests (normality, multicollinearity and heteroscedasticity tests) and multiple liner analysis along with statistical tests (t test, F test and R2 Determination Coefficient). The results of this research show that features have a positive and significant effect on user satisfaction which can be determined using the t test with a significance value of 0.001 < 0.05 and a value of tcount > ttable, namely 3.426 > 0.198217. Product variations have a positive and significant effect on user satisfaction as evidenced by the significance value of 0.001 < 0.05 and the tcount > ttable value, namely 3.577 > 0.198217. ease of transactions has a positive and significant effect on user satisfaction which can be seen with a significance value of 0.001 < 0.05 and a value of tcount > ttable, namely 3.385 > 0.198217. Simultaneously, features, product variations and ease of transactions have a positive and significant effect on mobile banking user satisfaction at sharia banking financial institutions which can be seen from the F test, namely fcount > ftable or 40.058 > 2.69 and the resulting significance value is 0.000 < 0.005. The determinant coefficient value is 0.514 or 51.4% and the remaining 0.486 or 48.6% can be explained by other variables outside this research.    

In the digital era, mobile operating systems (OS) play a pivotal role beyond mere application execution platforms. They are essential for optimizing energy efficiency and enhancing security, particularly in the realm of mobile banking. This paper explores the critical role of mobile OS in supporting sustainable economic growth through efficient energy use and robust security measures in mobile banking transactions. The focus is on how these OS advancements contribute to a secure and environmentally responsible digital economy. Key aspects covered include energy optimization strategies, security enhancements such as data encryption and multi-factor authentication, and the integration of these technologies into mobile banking applications. By addressing these challenges, mobile OS not only ensures sustainable economic development but also fosters financial inclusivity and security in an increasingly digital world.    

Technological developments in the digital world have now begun to increase the use of operating systems such as Android which are often used on electronic devices such as smartphones and tablets, penetrating various fields of human life. The use of these devices is essential in facilitating various tasks, especially digital ordering and transactions. This integration provides better transaction protection, more effective usage, and benefits and convenience. Cloud computing makes it easy and efficient to integrate digital ordering applications into payment systems. Observations show that these integrations provide user convenience and purchase trends, assist marketing strategies, and generate more accurate business decisions. If carefully developed and implemented, this integration has great potential to change the way business is done in the digital age.    

Technological developments in the digital world have now begun to increase the use of operating systems such as Android which are often used on electronic devices such as smartphones and tablets, penetrating various fields of human life. The use of these devices is essential in facilitating various tasks, especially digital ordering and transactions. This integration provides better transaction protection, more effective usage, and benefits and convenience. Cloud computing makes it easy and efficient to integrate digital ordering applications into payment systems. Observations show that these integrations provide user convenience and purchase trends, assist marketing strategies, and generate more accurate business decisions. If carefully developed and implemented, this integration has great potential to change the way business is done in the digital age.    

To compete with other stores, store owners need to design various strategies, one of which is understanding customer purchase patterns. This article examines the Squeezer algorithm and compares the performance of the Apriori and FP-Growth algorithms in forming customer purchase association patterns that can be used as a reference for store owners in planning sales strategies. The data mining process was carried out using Association Rules and Clustering methods. A total of 1256 sales transaction data samples were analyzed to understand the association patterns produced by each method. Based on the test results with a minimum support of 0.2 and a confidence of 0.6, the Apriori algorithm produced 194 association rules with a total rule strength of 1.16. Meanwhile, the FP-Growth algorithm produced 52 association rules with the same total rule strength of 1.16. The Clustering Method resulted in 7 clusters with a similarity value of 0.06322. After comparison, the FP-Growth algorithm proved to have better performance in generating association rules compared to the Apriori algorithm.

The aim of this research is to analyze the use of financial applications with Zahir accounting software implemented by PT. Dyandra Propertindo Surabaya. The benefit of this research is for all groups/parties, especially those who share the same frequency as the subject and object of research. The research method used is to carry out direct observations or observations at the company, then using the literature study method to increase the literature to match theory with findings in the field from the results of the second method, namely opinion poll interviews, to strengthen the findings from the research. The research results show that the use of financial applications based on Zahir Accounting software at PT. It can be said that Dyandra Propertindo Surabaya has been running for quite a long time and has been implemented properly and correctly in accordance with the flow and process of the application's functions. However, the company said there were still obstacles in implementing this software, mainly the internet network factor. The conclusion of this research is that PT. Dyandra benefits from using Zahir Accounting software from various aspects, including time, accuracy, effectiveness and flexibility in preparing company financial reports.

Effective sales transaction management is very important for retail businesses. This research aims to develop a comprehensive sales invoice information system at the Sari Agung Semarang store to improve the efficiency and accuracy of the sales process. The system is designed to simplify invoicing, maintain accurate inventory records, and provide complete sales reporting capabilities. This research involved analysis of current sales processes, system design with a user-friendly interface, and integration with existing accounting and inventory management software. Implementation of this system is expected to increase customer satisfaction, reduce the risk of errors, and provide valuable insights to support better decision making.

This research aims to analyze customer satisfaction at the UD.Rini Mulyo material store. This research uses service quality, price and promotion variables as independent variables. Sampling was carried out using Accidental Sampling, obtaining 100 respondents. The data collection method uses a questionnaire given to customers who visit and make transactions at the UD.Rini Mulyo material store. The data analysis technique in this research uses multiple regression analysis which is processed using the SPSS 21 program. The results of the research show that the customer satisfaction variable for the UD.Rini Mulyo material store is influenced by 37.1% of service quality, 29.3% of price and 7.8% of promotions. Overall the independent variables have an influence of 87.2% and the remaining 12.8% is influenced by other variables not found in this research.

The era of the digital economy in Indonesia has made buying and selling transactions easier and faster to carry out. By using social media, consumers can channel their opinions, criticism and suggestions regarding the products/services they consume to business actors in various forms. One of them is in the form of a review (overview) of products/services expressed through photos or videos. However, this activity has reaped pros and cons in society, because it is considered that this activity actually tarnishes a good name. This research aims to examine the form of legal protection for the provisions for reviewing products on social media. The sources of legal materials used in this writing are firstly primary legal material sources which have binding force, secondly secondary legal material sources which are legal materials originating from the results of a literature review by reading books, legal journals, and articles that are in accordance with the law. the issue being faced. Data were analyzed using qualitative methods. This research uses a normative research type using a deductive thinking approach. The data that has been analyzed shows that legal protection for the provisions for reviewing products on social media is stated in Law Number 12 of 2005 article 23 paragraph (2) concerning Human Rights, Article 44 paragraph (3) UUPK, and criminal sanctions for perpetrators are stipulated in the UUPK which can be sentenced to prison and a fine.

Islamic banking in Indonesia has experienced significant growth in recent years, driven by the increasing demand for financial services that comply with Sharia principles and laws. The role of the Sharia Supervisory Board (SSB) is crucial in monitoring and evaluating the compliance of Islamic banks with Sharia principles. This study aims to analyze the effectiveness of Sharia supervision by the SSB in ensuring the operational compliance of Islamic banks with Sharia principles. The research method used is a literature study, collecting and analyzing data from various written sources such as books, journals, and related documents. The findings of the study indicate that the effectiveness of SSB supervision is influenced by the qualifications and understanding of SSB members on fiqh muamalat and modern Islamic finance. Additionally, the SSB plays a role in ensuring that the products and services offered by Islamic banks adhere to Sharia principles through the evaluation of contract structures, transaction mechanisms, fund usage, and profit distribution mechanisms. With effective supervision from the SSB, it is expected that Islamic banking can continue to grow and gain public trust. This research contributes to the development of knowledge and practice in the field of Islamic banking.

The human resources aspect is the most important thing for companies, especially to achieve organizational goals, because the success or failure of an organization is greatly influenced by human factors as people who carry out the work. One of the targets of human resource management in the organizational management function concerns employee performance issues. Employees at the Sewing Department PT. Pan Brothers Tbk Boyolali has an unstable level of performance, which can affect the achievement of company goals. This research aims to explain the factors that can influence a person's performance, such as leadership style, work culture and physical work environment which can influence employee performance. The sample was obtained using a purposive sampling method, and 47 civil servant respondents were selected as the sample. Meanwhile, the data analysis used in this research includes: data quality testing, classical assumption testing, hypothesis testing and multiple regression analysis. The results of the partial significant test (t statistical test) from the research analysis and discussion show that; transactional leadership style, with a t value of 1,555, this value is smaller than t table 1,669. This explains that the Transactional Leadership variable has no effect on the Employee Performance variable. Work Culture, with a t value of 3,033, this value is greater than t table 1,669. This explains that the Work Culture variable has an influence on the Employee Performance variable. Physical Work Environment, with a t value of 2,467, this value is greater than t table 1,669. This explains that the Physical Work Environment variable has an influence on the Employee Performance variable. Meanwhile, the results of the simultaneous significant test (f test) show that Fcount 5,600 > Ftable 2,751 with a significance value of 0.002. So it can be concluded that the two independent variables, namely Transactional Leadership (X1), Work Culture (X2) and Physical Work Environment (X3) greatly influence the dependent variable, namely Employee Performance (Y) at PT. Pan Brothers, Tbk Boyolali.

Language plays a crucial role in human communication. Technological advancements, such as the Internet and cell phones, have revolutionized long-distance communication. The Internet on mobile phones has created unique communication forms, including online shopping on platforms like TikTok. This enables easy shopping from anywhere with internet access and payment via ATM. Interactions between buyers and sellers in online shopping involve various linguistic acts, facilitating transactions between strangers. This research explores (1) forms of speech acts in seller-buyer interactions on TikTok Live, (2) strategies of these speech acts, and (3) the functions of speech acts in these interactions. Using qualitative descriptive research, the study analyzes audio segments from conversations in women's equipment transactions on TikTok. Data collection was done through documentation, and analysis involved data reduction, presentation, and conclusion drawing. Results show differences in speech act forms, strategies, and functions. Future research is suggested to delve deeper into these aspects, using this study as a reference for broader investigations.

The Industrial Internet of Things (IIoT) enhances the connectivity and efficiency of living lifestyles. However, it also comes with significant security vulnerabilities. Traditional authentication methods are often inadequate, leading to IIoT devices opened to security threats. This paper proposes a comprehensive security framework integrating blockchain, cryptographic techniques, smart contracts, and deep learning-based Intrusion Detection Systems (IDS) to tackle the mentioned issue. Blockchain ensures data integrity and prevents tampering through a decentralized ledger. A decentralized device identity management system enhances user verification, while secure communication protocols using Hash-based Message Authentication Codes (HMAC) safeguard data integrity. Smart contracts automate transactions, providing transparent, secure record-keeping without a central authority. The deep learning-based IDS, utilizing Contractive Sparse Autoencoder (CSAE) and Attention-Based Bidirectional Long Short-Term Memory (ABiLSTM) networks, effectively detects cyber threats. Evaluation metrics, including precision, recall, F1-score, and False Acceptance Rate (FAR), demonstrate high accuracy and low false alarm rates across datasets. This framework addresses the need for secure, efficient, and scalable authentication in IIoT, combining blockchain's security features with advanced cryptographic and anomaly detection techniques, offering robust defence against cyber threats.

This research investigates how organizational culture influences cadets' perceptions of empowerment training and shapes their leadership styles within the transportation management sector in Jakarta. Through qualitative interviews and quantitative surveys with cadets from diverse work environments—collaborative and hierarchical—the study explores the differential impacts of organizational culture on leadership development. Findings reveal that cadets in collaborative environments perceive empowerment training more positively, citing benefits such as teamwork, decision-making autonomy, and mentorship. These cadets tend to exhibit transformational leadership styles characterised by motivation, adaptability, and team empowerment. In contrast, cadets in hierarchical environments often adopt transactional leadership styles focused on task compliance and adherence to hierarchical structures. The study highlights the importance of tailored training programmes that accommodate diverse leadership styles and cultural contexts within transportation management education. Recommendations include integrating soft skills development, establishing mentorship programmes, and implementing continuous feedback mechanisms to enhance training effectiveness. By addressing these dynamics, educational institutions can better prepare cadets for leadership roles in dynamic professional environments, contributing to sectoral advancement and sustainability.

Perpetrators and parties related to misuse of social media in general elections, such as spreading fake news or hoaxes and spreading hate speech, may be subject to criminal sanctions as stated in the provisions of the article of the law. The method used in preparing this research is normative juridical with a conceptual approach and a statutory approach, especially the  ITE Law, the Criminal Code to further examine law enforcement regarding the misuse of social media in building public opinion in the 2024 General Election (Pemilu).In practice, Law concerning Information and Electronic Transactions itself is still not effective because it is seen as tending to limit freedom of expression and bias in its implementation. There are no standard standards for determining activities that can be considered misuse of social media. Law Number 7 of 2017 concerning General Elections does not regulate the anticipation of misuse of social media in general elections using a repressive approach or imposing criminal sanctions.