The development of information technology has brought about significant changes in the social, economic, and legal life of global society. On the one hand, digitalization creates efficiency and convenience in various activities, such as financial transactions, communications, and access to information. However, on the other hand, this progress has also given rise to a new form of crime known as cybercrime. Cybercrime differs from conventional crime in that it is committed through electronic systems that can cross national borders and involve a large number of victims. This crime encompasses various forms, such as data hacking, online fraud, and malware distribution. This research aims to examine the development of cybercrime as a form of modern crime in the digital era and to assess the response of Indonesian criminal law to these challenges. The method used is normative legal, with a statutory, conceptual, and case study approach. This research also examines existing regulations, such as Law Number 11 of 2008 concerning Electronic Information and Transactions (ITE) and Law Number 27 of 2022 concerning Personal Data Protection, in addressing cybercrime issues. The research results show that although Indonesia has several regulations related to cybercrime, their implementation still faces various obstacles. Some of the main obstacles include suboptimal law enforcement, limited technology and human resources, and low levels of public digital awareness. Therefore, regulatory reform, institutional capacity development, and increasing public digital literacy are essential. This is part of a national strategy to address cybercrime comprehensively and sustainably, in order to create a safer and more trustworthy digital environment.

Cyber crime is increasingly prevalent with various modes, one of which is fraud under the guise of lottery prizes. This crime not only causes financial losses but also complicates law enforcement officials in terms of jurisdiction, especially if the perpetrators and victims are located in different regions, even across countries. This research aims to analyze how jurisdiction is enforced in dealing with cyber-based fraud crimes and examine the effectiveness of national legal instruments against the digital fraud mode. The research method used is a normative juridical approach with secondary data analyzed descriptively-analytically. The results show that jurisdictional enforcement in this case still faces technical and legal challenges, especially in the aspect of inter-state coordination and the limitations of domestic legal instruments in reaching cross-border perpetrators. Strengthening international cooperation and updating national regulations are needed to anticipate the dynamics of cybercrime.

This study aims to analyze the effect of investment decisions, capital structure, company size on profitability and Sustainable Growth, with profitability as a mediating variable and Financial Flexibility as a moderating variable. Data is obtained from secondary sources, namely audited financial reports from heavy construction and civil engineering subsector companies listed on the Indonesia Stock Exchange (IDX) for the 2019-2023 period. The analysis was carried out using Structural Equation Modeling based on Partial Least Squares (SEM-PLS). The results showed that investment decisions, capital structure, and company size have a significant effect on profitability. However, only company size has a significant effect on Sustainable Growth. Investment decisions and capital structure have no significant effect on Sustainable Growth. Profitability also has an insignificant effect on Sustainable Growth and does not mediate the relationship between variables. In addition, financial flexibility does not moderate the relationship between profitability and sustainable growth. This finding indicates that increased profitability is more influenced by investment strategy, capital structure, and firm scale, but does not necessarily translate directly into Sustainable Growth.

This study aims to analyze the influence of macroeconomic conditions, capital, and good corporate governance on earnings, financial risk, and yield to maturity bond, with bond rating acting as a moderating variable. The research focuses on banking companies listed on the Indonesian Stock Exchange (IDX). A Quantitative approach with a secondary data from Indonesian Stock Exchange (IDX) and Indonesian Bond Market Directory (IDMB) Purposive sampling method was applied, resulting in 102 active banking bond samples listed on the IDX during the 2020–2023 period. The hypotheses were tested using Structural Equation Modeling with Partial Least Squares (SEM-PLS). Out of 14 proposed hypotheses, 4 were supported with statistically significant results, while the remaining 10 were not. The results show that capital has a significant effect on financial risk, while earnings significantly influence both financial risk and bond yield to maturity. Overall, this study shows that internal factors like earnings and capital have a stronger impact on a company’s risk perception and debt cost than implementation good corporate governance and macroeconomic conditions. It also highlights the important role of bond ratings in reflecting a company’s reputation and credit quality in the banking bond market.

This study aims to analyze the differences in online shopping satisfaction among Generation Z in Majene regency by comparing two e-commerce platforms, Shopee and Tokopedia, based on three aspects: price, service quality, and delivery service. Data were collected through questionnaires distributed to respondents. The sampling technique employed was purposive sampling, and the sample size was determined using Roscoe’s rule of thumb, resulting in a total of 60 respondents. The collected data were analyzed using descriptive analysis and a paired sample t-test. The results indicate significant differences in satisfaction levels in terms of service quality and price, while no significant difference was found in the delivery service aspect between the two platforms Shopee and Tokopedia.

The exploitation of street children is a complex social problem in Indonesia, especially in large cities. Children living on the streets are highly vulnerable to exploitation. Although the government has regulated child protection through Law No. 35 of 2014 as a revision of Law No. 23 of 2002, the implementation of these protections has not been optimal in practice. This study aims to analyze the implementation of the Child Protection Law in addressing the exploitation of street children, identify obstacles in its implementation, and evaluate the suitability of legal norms with their practices. This study uses a normative legal method with a descriptive qualitative approach, based on an analysis of legal documents, scientific literature, and relevant data. The results of the study show that the implementation of child protection still faces many obstacles, such as a lack of supporting facilities, poor coordination between institutions, a lack of education for the community, and weak law enforcement. In addition, there is still a gap between ideal legal provisions and practices in the field. In conclusion, child protection is not sufficient with regulations alone but also requires integrated, sustainable, and participatory implementation so that Indonesian children, especially street children, can live safely, be protected, and develop optimally.

Penerapan teknologi dalam sistem administrasi publik sangat penting untuk meningkatkan efisiensi dan akurasi layanan. Salah satu bidang yang membutuhkan pembaruan adalah sistem pendataan tamu di BAPPEDA Kabupaten Asahan, yang selama ini masih menggunakan metode manual yang rentan terhadap kesalahan pencatatan, kehilangan data, dan memakan waktu. Untuk mengatasi permasalahan tersebut, dilakukan penerapan sistem pendataan tamu berbasis teknologi scan barcode. Tujuan dari pengabdian ini adalah untuk merancang dan mengimplementasikan sistem pendataan tamu yang lebih efisien, akurat, dan aman menggunakan teknologi barcode. Sistem ini memungkinkan tamu untuk mendaftar secara cepat dengan memindai barcode yang terhubung dengan data mereka, yang secara otomatis tersimpan dalam database. Dalam kegiatan ini, dilakukan pelatihan dan workshop untuk petugas BAPPEDA Kab. Asahan mengenai penggunaan sistem baru ini, termasuk pengenalan perangkat keras, perangkat lunak, serta prosedur keamanan data. Hasil dari penerapan sistem ini diharapkan dapat meningkatkan kualitas administrasi, mengurangi kesalahan, serta mempermudah pemantauan dan pelaporan kunjungan tamu di BAPPEDA Kabupaten Asahan. Dengan demikian, sistem ini dapat mendukung peningkatan pelayanan publik yang lebih efisien dan transparan.

The purpose of this research is to analyze and explore quantum theorems as a wireless telecommunications security solution in the future. This study uses a quantitative approach through simulation and performance analysis of QKD systems in wireless channels, by combining literature studies and comparative analysis between QKD and PQC. Meanwhile, the wireless communication simulation model, using the QKD protocol and PQC algorithm, with Free Space Optics (FSO), WiFi, and LiFi-based network scenarios. The simulation was carried out using MATLAB. This study is based on QKD, which uses BB84 and CV-QKD protocols on FSO 100m and LiFi wireless channels. And based on PQC, which uses the Kyber algorithm, with AES authentication for communication. Both models were simulated and tested based on the parameters of Quantum Bit Error Rate, Key Generation Rate, latency, and resistance to third-party attacks (wiretapping detection). Furthermore, the analysis was carried out quantitatively and comparatively to compare the performance of QKD and PQC based on the QBER, latency, KGR, and wiretapping detection of implementation. This analysis are combined with data based on the literature, to formulate optimal implementation strategies in the context of future wireless networks. The results indicate that QKD, specifically CV-QKD, has significant potential for use in attack-sensitive wireless communications, such as military, government, and industrial applications. However, this model requires more complex hardware and infrastructure investments in its implementation. Meanwhile, PQC offers a more ready-to-use and cost-effective solution for everyday communications that remains resilient to quantum attacks.

This study aims to evaluate the use of educational games as a learning medium to enhance students' motivation and improve the quality of Natural and Social Sciences (IPAS) instruction at the elementary school level. The research employed a classroom action research approach consisting of two cycles. Data were collected through observations, documentation, assessment rubrics, tests, and field notes. The games used in the study included "whisper chain" and "thread pull," both of which were adapted to suit the IPAS subject matter. These games were not intended to introduce new concepts but rather to develop students' skills. The results showed that the games successfully stimulated students’ enthusiasm and encouraged them to engage in enjoyable learning activities. The findings indicate that using games as a learning medium is effective in enhancing the quality of IPAS instruction in elementary schools. The study concludes that: 1) Games are implemented after the teacher delivers the material to reinforce students' understanding; 2) Educational games have proven to be beneficial in improving the quality of IPAS learning at the elementary level.

Objective: analyze the modulation scheme that can intelligently select the appropriate modulation model for service conditions to obtain a high Signal to Noise Ratio, as well as throughput efficiency on wireless networks through the DNN approach. Method: this study uses simulations with the Python language, through AI-Driven on BPSK, QPSK, 16-QAM, and 64-QAM modulation, to determine the SNR and Quality of Service (QoS) produced, both through conventional approaches and Deep Neuro Network (DNN). Researh Finding: AI-Driven modulation used for Cognitive Cellular Networks (CCN), through Deep Neuro Network designed to intelligently classify and select the appropriate modulation model to be applied, shows significant improvement in throughput efficiency, QoS and has the ability to adapt to the environment in dynamic networks. Conclussion: AI-Driven using Deep Neuro Network is able to dynamically adapt to determine the selected modulation model, according to the user's environmental conditions, increase spectrum efficiency and throughput, and increase SNR which can automatically increase the efficiency of network usage.