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PT Astra International BMW Semarang operates in the automotive sector, focusing on sales, aftersales, and spare parts for BMW cars. The availability of spare parts is crucial for customer satisfaction, as stock shortages can lead to disappointment. Using data from 52,162 spare parts sales transactions from January 2019 to June 2023, the study applies data mining techniques with the a priori and eclat algorithms to identify consumer purchasing patterns and prevent stock shortages. The research aims to provide recommendations for prioritizing spare parts stock. Utilizing the CRISP-DM methodology and R programming, the study found that the highest confidence in purchasing patterns occurs with a combination of three itemsets: if a customer buys an oil filter set (B11.42.8.593.186) and washer cleaner (B83.12.5.A1A.683), they will also buy BMW engine oil (Z99000000333) with 100% confidence. These findings can help PT Astra International BMW Semarang manage spare parts stock more effectively.

All PT Astra International BMW Semarang transactions are recorded in the database but the problem is that the stock management is  efficientless so  the part stock that buyers are interested is not available. This research aims to conduct a comparative mining results using the association rule with apriori algorithm for year 2021, 2022 and 2023 sales transaction dataset with total of 43.694 records using the Rstudio. Data mining process in each year uses the same parameters for each itemset combination. The best association pattern occurs in 2023 with support value 0.05913841 and confidence value 100%. This can be concluded that the rules formed from each year could be different eventhough using same parameters. The item that always appears in the association rule from 2021 – 2023is Z99000000333 (BMW Engine OIL) which is often purchased with items named “Set fil-oil” so it can be a recommendation for  item stocking  in the warehouse.

The creation of the internet, which is used to make human life easier, has become a new problem because it has given rise to cyber crime in cyberspace. One of the cyber crimes currently developing is cyber terrorism. This research examines the crime of cyber terrorism from the perspective of the perpetrator's criminal responsibility according to national laws in Indonesia. The method used in this research is a normative juridical legal research method that is perspective based on literature study. The legal materials used are primary and secondary legal materials. Data analysis techniques using deductive logical reasoning. The research results show that the term cyber terrorism crime has not been mentioned grammatically in national legislation. However, several articles in Law Number 1 of 2024 concerning the Second Amendment to Law Number 11 of 2008 concerning Information and Electronic Transactions contain the substance of cyber terrorism crimes, namely Article 28 paragraph (2), Article 28 paragraph (3), Article 31 and Article 33. The legal subject, namely the perpetrator in this article, is "Person" which means an individual or legal entity/corporation. All of these articles contain elements of "acts against the law" whose substance corresponds to the crime of cyber terrorism. So that a person or legal entity that commits acts in accordance with this article can be held criminally responsible. The legal sanction for this crime is imprisonment and/or a fine.

This research discusses the legal and economic aspects related to Sales and Purchase Agreements in the context of debt settlement. The main focus is the legal analysis of Sales and Purchase Agreements which is based on Debt-Receivable or Money Lending and Borrowing Agreements, as well as its impact on legal certainty and protection for the parties involved. This research also investigates the provisions of Articles 1457 and 1458 of the Civil Code regarding the validity of sale and purchase transactions, as well as the process of transferring land rights through a Deed of Sale and Purchase carried out by the Land Deed Official. The study results show that PPJB is often used as debt collateral, although this practice is not legally valid because Sales and Purchase Agreements and Debt-Receivable Agreements have different concepts and principles. The use of Sales and Purchase Agreements as debt collateral is considered problematic because it violates Article 1320 of the Civil Code which regulates the conditions for the validity of an agreement. This research emphasizes the importance of understanding the differences between sales and purchase agreements and accounts payable to ensure legal clarity and adequate protection for all parties involved in the agreement.    

Tujuan penelitian ini adalah untuk memverifikasi hubungan pengaruh transaction process dan seamless transaction terhadap perceived benefit. Pendekatan masalah menggunakan Teori Theory Acceptance Model (TAM). Penelitian menggunakan data primer yang diperoleh dengan menyebarkan kuesioner secara online. Metode pengumpulan data dengan purposive sampling data yang terkumpul 545 responden. Data dianalisis dengan SEM-PLS. Hasil penelitian membuktikan transaction process dan seamless transaction berpengaruh positif terhadap perceived benefit. Nilai original penelitian ini membuktikan bahwa teori TAM mampu menjelaskan hubungan antar variabel dari model penelitian yang dibangun.

This article explores the application of blockchain technology to enhance ethical operations in the food industry. Blockchain is viewed as a potential solution for improving transparency, accountability, and efficiency in the food supply chain. This technology enables the recording of transactions that are immutable and publicly verifiable, reducing the likelihood of fraud and product contamination. Additionally, blockchain can support compliance with ethical and sustainability standards, helping companies build trust with consumers. The study suggests that further research is needed to explore various aspects of blockchain application in the food industry, such as sustainable finance, digital forensics, and supply chain management. However, the article is limited by its focus on bibliometric analysis and lacks empirical data on blockchain implementation in the food industry. Future research should combine theoretical and practical approaches to provide a comprehensive view of blockchain's use in ethical and sustainable business operations.  

Along with the rapid development of technology and knowledge at this time makes information a very important role in order to achieve goals the development of computer technology today has grown rapidly, this encourages the creation of the need for the application of increasingly sophisticated computer technology. Design and build a kiosk rental information system at the web-based traditional market of Sumaja Makmur Village aims to facilitate the process of kiosk rental payment transactions. The situation faced by the traditional market of Sumaja Makmur Village is that the process of stall rental transactions is still carried out manually, so it takes time because traders have to come to the market chairman's office to make stall rental transactions. The research method used is a qualitative descriptive method, while the system development method uses the waterfall method.

The Inventory Information System designed for CV Alan Bakery is a solution to the challenges of managing raw materials and bread that was previously done manually. CV Alan Bakery is engaged in bread production and sales shop, which requires efficient and accurate stock management. The system is designed using the Unified Modeling Language (UML) as a modeling tool, and implemented using the PHP programming language with the Laravel framework, as well as MySQL as a database management system. The UML approach was used to visually design the system structure, facilitating a better understanding of the relationships between entities in the system. The Laravel framework was chosen to speed up development, ensure security, and improve application performance. MySQL is used as a database to store raw material data, bread, sales transactions, and inventory-related information. This Inventory Information System helps CV Alan Bakery in automating the process of managing raw material and bread stocks. With this, problems related to discrepancies in the calculation of raw materials and bread can be minimized. In addition, the system allows for real-time stock monitoring, sales transaction tracking, and analysis related to inventory performance..

In an era where information technology and communication continue to advance, competition in the business world is becoming increasingly intense. Companies must strive and employ strategies to sustain their businesses. Success is closely related to a company's ability to manage inventory effectively to meet customer demand maximally. This research aims to develop a web-based inventory management information system for Toko Agen Umi to facilitate the management of stock data and transactions. The development approach adopted is Prototype. The anticipated outcome of implementing this system analysis is to streamline the creation of Purchase Orders, Delivery Orders, and inventory reports with a user-friendly interface. The application aims to organize inventory management in a more structured, systematic, and computerized manner to prevent calculation errors. It is advised not to adhere strictly to one system to allow for continual learning and development in the process.  

One of the economic forces that has been supporting the Indonesian economy and regional economic strength is the presence of micro, small and medium businesses (MSMEs). Micro, Small and Medium Enterprises (MSMEs) play an important role in Indonesia's development and economy. However, MSMEs have limited resources and their small business scale encourages MSME entrepreneurs to look for innovative and creative solutions. This is a profitable opportunity to improve and develop MSMEs that are more innovative and creative. One form that MSME players can take is by implementing simple transaction recording and utilizing digitalization. The aim of this service activity is that MSME entrepreneurs can apply simple accounting in financial management, be ethical in the use of social and digital media, open up insights to market their business online and strengthen themselves as entrepreneurs so that MSMEs grow and develop. This service method involves providing outreach to the Mijen Village community. This activity was carried out with high community enthusiasm and support from Regional Government policies and figures from Mijen Village, Mijen District, Semarang City. This community service activity can increase insight and skills, as well as encourage the community to improve MSMEs.

This research aims to determine criminal acts of fraud with the motive of counterfeiting Qris Barcodes in terms of the aspect of prevention through the Indonesian Criminal Law. This research is normative research which is analyzed descriptively, using a law and case approach. The results of the research are that regulations regarding criminal acts of fraud are generally regulated in Article 378 of the Criminal Code, and to strengthen the legal basis it can be accommodated through Article 35 of Law Number 19 of 2016 concerning Information and Electronic Transactions. As a special law, the ITE Law is at least a guideline and legal basis for members of the public in carrying out activities in the online world. Overcoming the occurrence of criminal acts of online fraud is carried out with preventive (non-penal) and repressive (penal) efforts. Repressive efforts in this case are regulated based on Article 35 of the ITE Law and Article 378 of the Criminal Code. Meanwhile, preventive efforts are carried out by taking precautions so that criminal acts of online fraud can be minimized without applying criminal law, but rather by carrying out preventive efforts before the criminal act occurs, such as improving the community's economy, socializing to the public how to use the internet properly and the characteristics of electronic transaction-based criminal acts of fraud.

Based on the results of the study, the transaction mode is the most often used mode in the act of circulating and counterfeiting money and economic factors are the main factors for a person to commit the crime of counterfeiting money, as well as efforts made by the police in preventing and exposing the crime of counterfeiting. The transaction mode is the mode most often used by rupiah counterfeiters because this mode is easy to circulate counterfeit money. Economic factors are the most important factor for perpetrators to commit the crime of counterfeiting rupiah. Because the economy is squeezed, someone commits a crime to meet their economic needs. The efforts made by the Gorontalo City Police to prevent the occurrence of rupiah counterfeiting crimes are pursued with three efforts, namely preventive efforts, premative efforts, and repressive efforts. The crime of counterfeiting rupiah is a criminal act in which it contains a system of untruthfulness or falsehood of something (object) that appears from the outside as if it is true, when in fact it is contrary to the real thing that is called the crime of counterfeiting, including currency counterfeiting. The legal basis of money and currency is Law Number. 7 of 2011 concerning Currency, which was promulgated in the Statute Book of the Republic of Indonesia Year 2011 Number. 64 and Supplement to the Statute Book of the Republic of Indonesia No. 5223 This research was conducted to find out the factors and modes of the perpetrators of a criminal act of counterfeiting money in Gorontalo City and to find out the efforts made by the relevant legal parties in an effort to prevent the occurrence of the crime of counterfeiting rupiah money in Gorontalo City.

Data mining is a technique for extracting new information from data warehouses, information is seen as very important and valuable because by mastering information it is easy to achieve a goal, this makes everyone compete to obtain information, as is the case with the Dimsum business at Dimsum Madani.toko. This is located on Jalan Lampu gg. Pelita 4, Brayan Bengkel, East Medan, the location is close to many Brayan Resident's Houses. This of course affects sales levels. Increasing daily sales activity results in an accumulation of sales transaction data that continues to increase, thereby burdening data storage. Unfortunately, this data is only stored without further processing. In fact, this data collection holds valuable information.This research uses Market Basket Analysis with the Apriori Algorithm to find association patterns based on consumer shopping behavior. The goal is to identify items that are often purchased together. The research results showed that the combination of Seaweed Dimsum with Tofu Skin Spring Rolls had the highest support value (50%) and the highest confidence (75%).

Web-based LPG gas sales system using E-KTP is an application designed to facilitate the process of selling LPG gas online by using E-KTP as a user identity verification tool. This system was built with the aim of increasing efficiency and security in the LPG gas sales transaction process. This system utilizes web technology to allow users to sell LPG gas online through a platform accessed through a web browser. Users will be required to upload a photo of their E-KTP as part of the identity verification process. After identity verification, users can place an order for LPG gas according to their needs. The system is also equipped with an LPG gas stock management feature, so that sellers can monitor their LPG gas stock in real-time and procure new LPG gas if the stock is running low. In addition, the system is also equipped with an LPG gas delivery tracking feature, so that users can track the status of their LPG gas shipments from the warehouse to the delivery location. With this web-based LPG gas sales system using E-KTP, it is expected to increase efficiency in the LPG gas sales process, as well as increase security in online transactions by using E-KTP as a means of verifying user identity.

In the era of rapid digitalization, understanding consumer behavior through data is becoming increasingly important for retail businesses. Shopping trends, such as those contained in this study, provide in-depth insights into various aspects of consumer behavior, from demographics to purchasing preferences and patterns of discount usage. This data is invaluable in formulating effective marketing strategies, improving customer experience, and optimizing business operations. The data used in this study included a variety of relevant variables, such as age, gender, location, product categories purchased, number of purchases, payment methods, and frequency of purchases. This information allows for a comprehensive analysis of how these factors affect consumer spending decisions. For example, analytics can reveal seasonal trends in purchases, product color and size preferences, and the impact of discounts and promo codes on sales volume. In addition, this dataset also reflects the changes in consumer behavior that have occurred over the past few years. Quantitative methodology is a research approach used to collect and analyze numerical data to understand patterns, relationships, and events in a given population. Data is collected from various sources such as online sales transactions, consumer surveys, Naive Bayesian algorithms are applied to the dataset that has been processed. The data was divided into two sets: training (80%) and testing (20%).    

With the rapid development of technology and the Internet, more and more people are using electronic payments as a convenient solution for online transactions. The aim of this research is to show and analyze how service quality influences user satisfaction with the DANA electronic payment application. DANA is a platform that supports non-cash payments and mobile payments. This research uses quantitative methods by collecting data through questionnaires distributed to 30 Banten students using DANA. Data analysis was carried out using multiple regression as well as the t test, F test, and coefficient of determination test. The research results show that reliability, guarantee, and responsiveness can have a significant impact on user satisfaction. Overall, reliability, security, and responsiveness also have a significant impact on user satisfaction.

The clinic's process for requesting a consultation with a doctor and receiving a queue number is inefficient. To help patients make the most of their time at the clinic, it is helpful to provide them with information on when physicians will be available to see them. A new approach to health development governance is required under Regulation No. 21 of 2020 of the Republic of Indonesia's Minister of Health, which addresses the Ministry's Strategic Plan for 2020–2024. This plan encompasses health information systems, research integration, and development, among other areas. First, Health Technology Transformation, which includes developing and integrating health data; second, Health Service Application Integration and Development; and third, Health Technology Ecosystem Development, will house the primary activities involved in health technology transformation. This study's findings suggest that consumers are mostly interested in finding hospitals in close proximity to their homes, rather than using the doctor's appointment component of the KlikDokter app. Because of this, KlikDokter has to implement a change movement that can increase the number of health facilities that operate with Klik Doctor, allowing it to reach the closest health facility. It also has to link insurance and BPJS so that health facilities may provide transaction features.

Market basket analysis is an important technique in data mining used to understand consumer purchasing patterns. This research uses the Apriori algorithm to identify relationships between products in the shopping basket, aiming to improve sales and marketing strategies in the retail industry. The focus of this study is on retail transaction data from West Java Province, which has a large and diverse population, reflecting complex consumer purchasing patterns. The research identifies several key issues: limited understanding of consumer behavior, unoptimized business strategy opportunities, and challenges in managing large transaction data. As a solution, the application of the Apriori algorithm can help find frequent consumer purchasing patterns and design more effective marketing strategies. The results show that market basket analysis using the Apriori algorithm is effective in understanding consumer purchasing patterns in the retail industry. This algorithm allows companies to discover itemsets that frequently appear together in transactions, which can be used to design more effective marketing and sales strategies.

The purpose of this study was to examine the effect of fee-based income and foreign exchange fees on return on assets at Muamalat bank for the 2015-2020 period. There are two types of fee-based income studied, namely fee and commission income, and foreign exchange transaction service income. The sample is using Quarterly financial reports for the 2015-2020 period in this study. Multiple regression based on ordinary least squares (OLS). The results showed that the three types of fee-based income had a positive and significant effect on return on assets. However, total assets have no significant effect. Overall, the results suggest that banks should increase their fee-based income activities to improve profitability.

The practice of buying and selling rice using the "tebasan" system occurs in Bedoro Village, Sambungmacan District, Sragen Regency. In this practice, farmers conduct transactions with buyers when the rice plants have turned yellow but are not yet ready for harvest, with a down payment as a sign of commitment. The buyer then waits until the rice is ready for harvest to proceed with harvesting and completing the payment. This study aims to review the practice of buying and selling rice using the tebasan system in Bedoro Village from the perspective of Sharia Economic Law. This research uses field research methods with a descriptive approach. Data were collected through interviews, documentation, and observation. The results indicate that the transaction of buying and selling rice using the tebasan system in Bedoro Village is valid according to Sharia Economic Law. This is because the transaction meets the pillars and conditions of sale and purchase, including the presence of two contracting parties, the goods being traded, and the agreement (ijab qabul), while avoiding elements that could invalidate the transaction such as gharar, riba, dual-purpose transactions, and the utilization and maintenance of land by the buyer.