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The game industry in Indonesia has shown significant growth in recent years, along with the increasing public interest in high-quality video games. AAA (triple-A) games such as Grand Theft Auto VI (GTA VI) rely heavily on trailers as their primary promotional tool to introduce the game’s atmosphere, visual quality, and complex storytelling. GTA is widely recognized as a pioneer in realistic visuals, deep narratives, and social criticism delivered through iconic storytelling, making it highly appealing to potential consumers. This study aims to examine the influence of visual narrative in the GTA VI trailer on consumers’ purchase intention within the Indonesian GTA V Roleplay Facebook community. The theoretical framework is based on Marketing Communication Theory, Visual Narrative Theory with the dimensions of clarity, realism, dynamism, and continuity, as well as Purchase Intention Theory consisting of transactional, referential, preferential, and exploratory intentions. A quantitative approach was employed using a survey method, with questionnaires as the data collection instrument. The sample was selected using simple random sampling and calculated using the Slovin formula with a 5% margin of error, resulting in 92 respondents. The results indicate that the visual narrative variable achieved the highest mean score in the realism dimension (3.29), while purchase intention recorded the highest mean score in the transactional intention dimension (3.79). Simple linear regression analysis reveals that visual narrative has a significant influence on purchase intention, with a correlation coefficient (R) of 0.918. The coefficient of determination (R²) of 0.843 indicates that 84.3% of purchase intention is influenced by visual narrative, while the remaining 15.7% is affected by other factors beyond this study.

Criminal offenses of theft are one of the most frequent forms of crime in society and have wide-ranging impacts, not only on the individual victim but also on legal order and social stability. This study aims to analyze the impact of theft offenses on legal order and social life, while also examining the role of criminal law in addressing such crimes. The research method used is qualitative with a descriptive approach through literature study, observation, and interviews with law enforcement officers and the public. The results of the study show that the prevalence of theft offenses can decrease public safety, weaken public trust in law enforcement agencies, and disturb social order and harmony. Furthermore, theft also leads to a decline in legal compliance and an increase in the potential for vigilante justice. Therefore, consistent, effective, and just law enforcement is required, along with increasing public legal awareness as efforts to maintain legal order and create a safe and orderly social life.

This study aims to evaluate the effectiveness of the implementation of the public sector accounting cycle in the planning, implementation, administration, and evaluation of catfish cultivation programs run by BUMDes Ajoeng Jaya as part of the village food security program. The focus of the research departs from the need to ensure that each stage of the management of the BUMDes program runs according to the principles of public accountability, considering that BUMDes is a strategic entity in the management of village resources to improve the welfare of the community. This study uses a qualitative descriptive approach through field observation, in-depth interviews with the management of BUMDes Ajoeng Jaya, and a review of documentation related to catfish farming program activities and financial records. This approach allows researchers to gain a comprehensive understanding of the accounting practices applied as well as the various obstacles that arise during the implementation of food security programs. The results of the study show that the catfish cultivation program has failed due to weak internal supervision, the absence of SOPs, lack of financial recording and reporting, and lack of technical competence of managers. The implementation of the public sector accounting cycle has not been running optimally so that it is not able to support effective control and evaluation of programs. In addition, crop failures are exacerbated by theft by internal parties and the absence of a structured monitoring system throughout the program, which indicates weak governance and internal control. This study has limitations in the form of a small number of informants and a lack of formal documents, so the analysis—especially the financial aspect—cannot be generalized widely. Nevertheless, this study contributes by integrating the evaluation of food security programs through the implementation of the public sector accounting cycle and offering recommendations to improve the accountability, transparency, and sustainability of BUMDes programs.

Power transformer theft, a pervasive issue disrupting critical infrastructure, necessitates the development of cost-effective and energy-autonomous security solutions. This paper presents the design and implementation of a detection-focused anti-theft framework that integrates a Raspberry Pi Zero W, camera module, and passive infrared (PIR) motion sensors powered by a solar system for continuous monitoring. The system is designed for remote, off-grid deployment, utilizing a headless Raspberry Pi powered by a 5V solar panel and power bank to ensure energy autonomy. Upon motion detection, captured images are processed on the edge device using OpenCV’s Haar Cascade classifier, optimized for upper-body detection to minimize false positives and verify human presence. Captured images are processed locally on the edge device using OpenCV’s Haar Cascade classifier to confirm human presence before an alert is sent to the mobile application, emphasizing real-time operation and low latency. Once an intrusion is confirmed, the images are saved locally and uploaded via the Secure File Transfer Protocol to a custom-developed Android application. The app provides a dedicated remote monitoring interface, enabling secure file transfer and system access, while providing users with immediate notifications and image management capabilities. The system emphasizes low power consumption, real-time operation, and low deployment cost. Tests over 200 triggered events under varied environmental conditions achieved 90% detection accuracy with an average latency of 4.5 s. Solar autonomy was maintained for approximately 24 h under normal operation. It is concluded that the integration of solar power, edge computing of images, and mobile monitoring provides a feasible, scalable, and financially viable framework for securing transformers, especially in resource-constrained environments.

This research aims to analyze the vital role of the Crewing Department in the recruitment, placement, and management of ship crew members at PT Margo Indonesia Servicestama Jakarta. The availability of competent, loyal, and ethical crew members is a key factor for ensuring the safety and efficiency of shipping operations. This study focuses on the procedures and strategies implemented by the crewing department to guarantee that recruited personnel meet company standards, uphold core values, and demonstrate a strong work ethic. The research employs field research to directly observe recruitment and crew placement practices, complemented by a literature review to examine relevant regulations and theories on maritime human resource management. The findings reveal that the Crewing Department plays a critical role in preventing undesirable incidents onboard, such as desertion, cargo theft, and operational failures. Such issues often originate from recruitment processes that fail to meet standard requirements or misalignments between crew perspectives and the company's vision and mission. PT Margo Indonesia Servicestama addresses these challenges by emphasizing integrity, professionalism, and adherence to company SOPs at every stage of crew procurement. The study concludes that the Crewing Department functions not only as a liaison between shore management and the ship’s crew but also as the primary filter responsible for maintaining high-quality human resources at sea. Continuous dedication, professionalism, and transparent procedures are recommended to sustain and improve fleet operational quality.

The research entitled Analysis of ATM Money Theft Crimes by ATM Cashiers in Batam City Using Routine Activity Theory (RAT) focuses on describing the elements of theft crimes, the threat of theft crimes, and cases of ATM money theft by ATM cashiers in Batam City. The research method used a normative legal research method with a case approach and a conceptual approach. The results of this study are as follows: The crime of theft is a crime against property as regulated in Chapter XXII of Book II of the Criminal Code, specifically Article 362, which contains subjective and objective elements. The types include ordinary theft, aggravated theft, and petty theft. The occurrence of theft is influenced by internal factors, such as the perpetrator's intention, and external factors, such as circumstances that support the crime. In the case of theft by ATM cash replenishment officers, the crime was committed through abuse of work access (special access crime). Based on Routine Activity Theory (RAT), crime occurs due to three main elements, namely a motivated perpetrator, a suitable target, and a lack of adequate supervision.

This study analyzes the legal review of legal protection for motorcycle owners in cases of embezzlement. To anticipate the development of society in relation to changes in crime, efforts can be made to plan the creation of criminal law that accommodates all the dynamics of society. This is a policy issue, namely regarding the selection of means in regulating social life. The crime of theft is regulated in the Criminal Code book II chapter XXII Articles 362 to Article 367. Indonesia is a country that is included in the category of developing countries and of course cannot be separated from the problems that have been raised above. Crimes that occur in developing countries are still relatively high. Therefore, it is not surprising that the problem of crime or criminality in Indonesia is a result of the life of its people. Crime can be interpreted criminologically and juridically. One example of a crime is the crime of embezzlement which is regulated in Articles 372 to 377 of the Criminal Code.  The normative juridical research method with a descriptive approach, this study reveals that legal protection for motorcycle owners in embezzlement cases is based on Article 372 of the Criminal Code and Law Number 8 of 1981 concerning Criminal Procedure Law. The concept of imposing criminal penalties on embezzlement crimes in Indonesia. Article 372 of the Criminal Code and Law Number 8 of 1981 concerning Criminal Procedure Law. Thus, the judge sentenced the defendant to 3 (three) years in prison.

The widespread use of digital images, driven by low-cost, handheld acquisition devices, has increased the need for robust security measures to safeguard privacy. This demand is further underscored by rising identity theft and other image-related crimes. This study presents a chaos-based experimental evaluation of contemporary image encryption algorithms. Owing to intrinsic properties such as sensitivity to initial conditions and pseudo-randomness, chaos theory has become increasingly prominent in image encryption. Five chaos-based image encryption schemes were selected and applied to a dataset of 26 color images. The evaluation covers both encryption performance and cryptographic security. Decryption quality is measured using Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and DeepEns. Cryptographic security is assessed using entropy, correlation coefficient, Number of Pixel Change Rate (NPCR), Unified Average Changing Intensity (UACI), average and maximum deviation, and histogram analysis. Experimental results indicate that all evaluated schemes demonstrate strong cryptographic security and comparable encryption performance, with broadly similar effectiveness across methods.

The rise in motor vehicle theft cases in various regions indicates the weakness of the security systems implemented by most users. Systems such as manual locks and alarms often fail to prevent crime, either because they are easily hacked conventionally or due to user negligence in their operation. In today's technological era, a system is needed that is not only secure, but also intelligent and practical. One promising solution is the implementation of a facial recognition-based security system. This study aims to design and test a vehicle security simulation system using facial recognition technology integrated with Arduino Uno and MATLAB. This system utilizes a laptop camera to capture the user's facial image, then performs a detection and verification process using the FaceNet algorithm. If the face is recognized and verified with data stored in the database, the Arduino will activate the actuator components in the form of a DC motor to simulate starting the engine, and a servo motor to simulate opening the vehicle door. This study uses a quantitative experimental approach to analyze the effect of variations in distance (30, 40, and 50 cm) and lighting brightness levels (10–20, 21–30, and 31–40 lux) on the system's response time. A total of 27 combinations of conditions were tested, and the data obtained were analyzed using Microsoft Excel and ANOVA tests in Minitab software. The results of the analysis showed that the optimal response time was obtained at a distance of 40 cm with a medium level of illumination (21–30 lux). In addition, both distance, brightness, and the interaction between the two factors were shown to have a significant effect on the system's response time (P-Value < 0.05). These findings indicate that the system is quite sensitive to environmental changes, so further testing is highly recommended, especially to measure the actual delay, the detection error rate, and the development of a more robust face detection algorithm so that the system can be used reliably in various lighting conditions and face capture angles in the real world.

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.

In the modern era, the need for sophisticated vehicle security systems is increasing along with the high rate of motor vehicle theft. This research designs and implements a fingerprint sensor-based vehicle security system using an Arduino Uno microcontroller. This system aims to improve security by utilizing biometric technology that can only be accessed by verified users. The fingerprint sensor is used to recognize the user's fingerprint, then activate the system through a relay instead of a conventional key. System testing shows a fast response time with an estimated rise time of about 0.5 seconds and settling time of about 2 seconds, without any misidentification (false positive or false negative). Thus, the system is proven to provide higher security, good authentication speed, and ease of use compared to conventional security systems. These results show that the implementation of biometric technology in vehicles has the potential to be widely applied.

Crime is a social issue that continues to evolve alongside increasing community activity and regional development. This study aims to Cluster crime data in Binjai City based on the location of incidents using the K-Means algorithm and the Cross Industry Standard Process for Data Mining (CRISP-DM) approach. The data were obtained from the Binjai Police Department, with attributes including the type of crime, time of occurrence, and location, categorized by district. A comprehensive data preprocessing stage was carried out, involving the extraction of information from raw data, normalization of crime type labels, and conversion of categorical data into numerical form using label encoding. The optimal number of Clusters was determined using the Silhouette score method, which yielded the best result at K = 10. The Clustering results were further evaluated using the Davies-Bouldin Index (DBI) to ensure Cluster quality. The analysis revealed that Binjai Utara District has the highest number of crimes, particularly aggravated theft (curat), which frequently occurs from early morning to late morning. This Clustering is expected to provide valuable insights for authorities in formulating more targeted and data-driven regional security strategies.

The increasing number of motorcycle thefts in various regions indicates that conventional security systems are not yet fully effective in protecting vehicles, necessitating new technology-based innovations. This study discusses the planning and implementation of a motorcycle security system utilizing Radio-Frequency Identification (RFID) technology as a more responsive and modern solution. The system is designed using a passive RFID tag placed on the motorcycle key, an RFID reader integrated with the motorcycle unit, and an Arduino microcontroller that functions to control the ignition system. With this combination, the motorcycle can only be activated if the appropriate tag is detected, while access attempts using an invalid tag or the loss of the tag will automatically disconnect the ignition system. Test results announced that tag recognition can be done very quickly, in less than a second, so as not to disrupt the user's comfort when starting the vehicle. In addition, this system is able to maintain consistent performance by providing an automatic response that supports advanced security. The implementation of this plan is expected to reduce motorcycle theft by providing an additional layer of security that is more difficult to penetrate than a manual key system. From the user's perspective, this technology remains practical because it does not require complicated procedures in its operation, simply by ensuring the appropriate RFID tag is attached to the motorcycle key. Overall, this research confirms that the application of Arduino microcontroller-based RFID technology can be an alternative, inexpensive, and applicable security system in everyday life. It is hoped that this system will not only improve protection for vehicle owners but also serve as a benchmark for the development of more sophisticated transportation security technologies in the future. Implementation of this system is expected to reduce motorcycle theft and provide a greater sense of security for vehicle owners.

This study uses a qualitative method to examine the criminal sanctions against phishing crimes under Indonesian criminal law. Phishing is a form of cybercrime committed by deceiving victims into disclosing personal or confidential information such as identity data, bank accounts, or other sensitive details. In Indonesian criminal law, phishing is not explicitly mentioned, but it can be prosecuted under several articles of the Electronic Information and Transactions Law (Law No. 19 of 2016), particularly Articles 35 and 36, which regulate manipulative acts that cause harm to others. Offenders may face imprisonment of up to 12 years and/or fines of up to 12 billion rupiah. Additionally, offenders may be charged under the Indonesian Penal Code (KUHP) if their actions meet the elements of fraud or data theft. This study highlights the need for legal reform to be more responsive to the rapid advancement of digital technology. More specific regulations are needed to ensure legal certainty and provide adequate protection for victims of phishing crimes in Indonesia.

This study aims to identify evidence of Address Resolution Protocol (ARP) Spoofing attacks in the form of the attacker's and victim's Media Access Control (MAC) addresses, as well as the time of the attack. With the increasing use of computer networks, ARP Spoofing attacks have become a serious threat that can lead to data theft, communication interception, and service disruption. ARP Spoofing can serve as a means to launch more complex attacks, such as Denial of Service (DoS) and Man in the Middle (MITM), which can cripple network systems and steal sensitive information. This study utilizes the Wireshark tool to monitor network traffic, specifically ARP, and applies the National Institute of Justice (NIJ) method as a framework for forensic investigation. The NIJ method was chosen because it provides a systematic approach to identifying, collecting, analyzing, and reporting digital evidence, enabling enhanced attack mitigation and supporting legal aspects in network security investigations. The specific approaches used in this forensic analysis include log analysis, packet capture and analysis using Wireshark, and traffic correlation to identify attack patterns based on time and involved devices. The attack simulation was conducted on Personal Computer (PC) 1 and a routerboard, where communication between these two devices was redirected through the attacker. Based on the test results, it was found that every device in the network experienced ARP Spoofing attacks, which could be detected and analyzed using the NIJ method. The contribution of this study is to provide a more systematic approach to forensic network investigations using the NIJ method, which not only aids in attack detection but also establishes a strong foundation for mitigation actions and legal enforcement in computer network security.

Every teenager should ideally be able to grow and develop well according to their age and as the next generation of the nation, but in reality there are teenagers who commit crimes, one of which is online gambling. Online gambling crimes among teenagers have an impact on other crimes, such as theft, so they must be dealt with optimally. The problem of this research is regarding the criminological analysis of online gambling crimes among teenagers in North Lampung and how the efforts made by the North Lampung Police in dealing with online gambling crimes among teenagers. This research uses a normative and empirical legal approach. The data collection procedure is carried out by means of literature studies and field studies. which are then analyzed qualitatively to obtain conclusions. The results of the research and discussion show that the criminological analysis of online gambling crimes among teenagers in North Lampung in accordance with the Differential Association Theory shows that the cause of teenagers committing online gambling crimes is the interaction, relationship, and communication between teenagers who have never gambled online with other teenagers who have gambled online. In accordance with the Strain Theory, the cause of teenagers committing online gambling crimes is the demands of daily needs. According to Social Control Theory, the cause of teenagers committing online gambling crimes is the lack of supervision from various related parties such as family, schools/educational institutions and law enforcement officers. Efforts to overcome online gambling crimes in teenagers through non-penal means are carried out by socializing child protection and cooperating/coordinating with schools. Penal means are carried out through the process of investigating children who commit online gambling crimes by child investigators based on the Juvenile Justice System Law.    

Vehicles in Indonesia are an important part of moving people or goods from one place to the destination, one of which is the transportation of boxed goods. However, the lack of security for boxed goods transport vehicles has always been the target of burglary of goods cargo in the area of Jalan Perniagaan Barat Roa Malaka Tambora, West Jakarta, perpetrators of goods theft from boxed goods cars that are traveling. Therefore, it is necessary to have a security system that can notify the driver when the back door of the vehicle is broken into, namely a Security Detection Tool on Iot-Based Goods Transport Vehicles Using Telegram this tool is able to detect the movement of the thief and evidence will be sent via Telegram. The research method used in this research is research adopting the ADDIE model R&D method, namely Analysis, Design, Development, Implementation, and Evaluation (assessment) of the reference model (ADDIE). In implementing the design of a Security Detection Tool on Iot-Based Goods Transport Vehicles Using Telegram Using the Esp32 Cam Microcontroller, MCU Node, and PIR sensors. Based on the Security Detection Tool, the transportation of box goods works well. Using the PIR Sensor, which is tested and applied directly to the vehicle. The tool is capable of sending telegrams in the form of messages, locations, and photos of the break-in.

Law enforcement against theft cases not only reviews the position of the perpetrator but also the victim, because the victim has the right to receive protection both materially and immaterially; it is important for law enforcement officers to help victims obtain legal certainty and justice. The purpose of the author's research is to determine the obstacles experienced by victims of motorcycle theft in an effort to obtain their rights as victims and effective strategic efforts to ensure that the rights of victims of motorcycle theft can be fulfilled. Research iThis uses qualitative methods and empirical normative juridical methods. The author conducted interviews as primary data in this article, followed by secondary data in the form of literature from the law (primary source material), books (secondary source material), and scientific journals (tertiary source material). The data obtained shows that there are still quite a lot of obstacles experienced by victims in seeking their rights as victims of motorcycle theft. Victims experience bureaucratic difficulties where the process is complicated; victims also find unprofessional service from law enforcement officers; and victims do not get further information regarding the investigation or get SP2HP. However, there are also effective strategic steps to fulfill the rights of victims of motorcycle theft, namely by increasing access to the legal process through online complaint services and increasing professionalism and responsiveness from law enforcement officers through routine training on handling victims. It can also be done regarding the recovery of victim losses by providing compensation mechanisms and strengthening supervision and prevention by collaborating between the community and the police in the form of environmental security. This shows that there is still a lack of concern from law enforcement officers themselves for victims of motorcycle theft and there is still much that needs to be developed further by the government to improve the welfare of victims of motorcycle theft and government efforts to protect the community from criminal acts of theft.

Illegal fishing is a form of maritime crime that threatens the sustainability of marine resources and causes significant economic losses for the country, particularly for coastal communities such as those in Natuna Regency. This activity not only harms the fisheries sector but also impacts food security, social stability, and the marine ecosystem. This study aims to examine in depth the surveillance strategy implemented by the Maritime Security Agency (Bakamla) in combating illegal fishing practices in Natuna waters. The research method used is a qualitative descriptive approach with data collection through in-depth interviews and analysis of Bakamla's strategic documents. The theoretical framework used refers to the concept of strategy according to Fred R. David (2016), which includes strategy formulation, implementation, and evaluation. The results of the study indicate that Bakamla has formulated a surveillance strategy by relying on 24-hour sea patrols, utilizing technologies such as the Automatic Identification Sistem (AIS), radio communications, and satellites, and establishing cross-agency collaboration including the Indonesian Navy, the Ministry of Maritime Affairs and Fisheries, and local government officials. The strategy was implemented through rotating patrols, outreach activities for fishermen and coastal communities, and the establishment of a public reporting channel to facilitate the dissemination of information regarding illegal activities. However, the implementation of this strategy still faces obstacles, including limited operational budgets, inadequate patrol fleets, and suboptimal response to public reports. Evaluation of the monitoring strategy showed positive impacts in the form of increased public awareness and participation, as well as a decrease in cases of fish theft in several vulnerable areas. However, the level of public involvement in reporting and independent monitoring still needs to be increased so that the monitoring strategy can be more effective and sustainable in safeguarding the sovereignty of Indonesia's marine resources.  

This study analyzes state-sponsored cryptocurrency theft, focusing on the Lazarus Group affiliated with North Korea, within the framework of contemporary hybrid warfare strategy. Employing a qualitative case study approach, the article explains how systematic and large-scale crypto asset theft conducted by Lazarus Group serves not only financial motives but also functions as a strategic tool to evade international sanctions and fund North Korea’s nuclear programs. The research finds that such cybercrimes reflect high-ambiguity, non-conventional tactics key features of hybrid warfare. This study expands the traditional concept of hybrid warfare by incorporating digital financial crimes as instruments of state geopolitical strategy. It further highlights the importance of international collaboration and strengthened cybersecurity policy to address increasingly complex digital-era threats.