Penelitian ini menganalisis pengaruh motivasi belajar dan ekspektasi karir (variabel independen) terhadap intensi melanjutkan studi lanjut (variabel dependen), dengan status sosial ekonomi orang tua sebagai variabel moderasi. Penelitian ini menggunakan pendekatan kuantitatif, populasi penelitian terdiri dari 381 mahasiswa pendidikan ekonomi angkatan 2020 di Universitas Negeri Semarang, dengan 160 responden dipilih melalui Proportionate Random Sampling. Data dikumpulkan melalui angket, wawancara, dan dokumentasi, kemudian dianalisis menggunakan analisis statistik deskriptif dan Partial Least Square-Structural Equation Modelling (PLS-SEM) dengan SmartPLS 3. Hasil penelitian menunjukkan bahwa model valid dan reliabilitas konstruk layak. Motivasi belajar berpengaruh positif signifikan terhadap intensi melanjutkan studi lanjut, sementara ekspektasi karir memberikan pengaruh positif paling tinggi sebesar 70,9%. Status sosial ekonomi orang tua tidak berpengaruh terhadap intensi studi lanjut (19,9%), dan moderasi ekspektasi karir meningkatkan pengaruh menjadi 36,9%. Sebaliknya, moderasi motivasi belajar menghasilkan nilai negatif (-17%) dan tidak signifikan. Dari lima hipotesis, tiga diterima dan dua ditolak

This research aims to test or find out how much influence the workload variable and work environment have on employee performance which is mediated by the work stress variable. This test was carried out using a questionnaire method on the performance of employees in the production and packaging fields. The number of samples in this research was 100 respondents using a purposive sampling method, namely determining samples whose sample size was not yet known. The analytical tools used are path analysis, outer model analysis, inner model analysis and hypothesis testing with the help of SmartPLS 4.1.0.3 software. The results of this research show that workload and work environment have a positive and significant effect on employee performance, workload and work environment have a positive and significant effect on work stress, work stress has a positive and significant effect on employee performance. The indirect effect shows that workload and work environment influence employee performance through work stress.

The rapid advancements in technology and marketing strategies within the maritime industry present both opportunities and ethical challenges. While innovation enhances operational efficiency and consumer engagement, the absence of structured ethical frameworks can lead to privacy violations, regulatory breaches, and deceptive marketing practices. This study examines the role of ethical considerations in technology and marketing management within maritime leadership, emphasizing the need for structured ethical decision-making frameworks to ensure consumer protection, regulatory compliance, and corporate sustainability. This research provides original value by assessing the extent to which ethical principles are integrated into maritime business strategies, addressing gaps in previous research that primarily focuses on profitability over ethical governance. The study explores the following research questions: How do ethical considerations shape decision-making in maritime technology and marketing management? What challenges hinder the implementation of structured ethical frameworks? Using qualitative research methods, semi-structured interviews with industry experts, lecturers, and postgraduate students were conducted, followed by thematic analysis and comparative evaluation. Findings indicate that while ethical decision-making enhances corporate reputation and regulatory compliance, industry-wide implementation remains inconsistent due to weak regulatory enforcement and corporate reluctance. The study concludes that integrating ethical frameworks into maritime leadership training and business education is essential for fostering responsible corporate governance, enhancing consumer trust, and ensuring long-term sustainability.

The issuance of Minister of Trade Regulation Number 31 of 2023 concerning Business Licensing, Advertising, Guidance, and Supervision of Business Actors in Electronic Commerce is the Indonesian government's effort to regulate digital trading activities, including those conducted through social commerce platforms like TikTok Shop. This regulation aims to create a balanced trade ecosystem, ensure fair competition, and protect micro, small, and medium enterprises (MSMEs) in the midst of rapid technological advancements. However, the implementation of this regulation also raises challenges, particularly for MSME actors who rely on social commerce platforms as a marketplace. This paper aims to analyze the impact of the regulation on TikTok Shop and its implications for MSME development in Indonesia. The analysis is conducted by examining the content of the regulation and its effects on various stakeholders in the e-commerce ecosystem.

After the COVID-19 pandemic, global focus on health has increased, including mental health issues. However, many people in Indonesia still consider mental health to be a taboo subject. In reality, mental health has a significant impact on community life. Poor mental health, such as stress, anxiety, and depression, can negatively affect physical well-being and reduce the quality of life, particularly in large cities like Tangerang. Tangerang's numerous industrial factories contribute to air pollution, the lack of green spaces, and significant social pressures, all of which increase stress among its residents and can lead to mental health issues that may result in harmful actions toward themselves or others. In 2018, TangerangNews reported 15 suicide incidents in Tangerang City, Tangerang Regency, and South Tangerang, with causes ranging from economic factors to depression. According to Pasla (2023), several methods can prevent the negative impacts of mental health issues, including maintaining and improving mental well-being through actions that balance physical and spiritual conditions. In response to these challenges, the planning and design of a Wellness Center could be an inspiring solution with the potential to positively impact the community in Tangerang. Integrated with the Healing Environment approach, which creates a more healing and restorative building environment, this facility aims to enhance community wellness in a positive, targeted, and effective manner, reducing stress levels and preventing depression to improve the quality of life in Tangerang.

Teachers are expected to be able to carry out learning in accordance with the merdeka curriculum, including the use of teaching modules in accordance with the provisions of the curriculum. Ideally, teachers can design teaching modules optimally. However, in reality, many teachers are not yet able to create teaching modules merdekaly according to the needs and situations in their learning environment. Several teachers stated that it required additional time, money and energy to compose teaching modules comprehensively, which became an obstacle in preparing teaching modules merdekaly. The Office Management and Business Services Skills Program (MPLB) in Phase F is not included in the Center of Excellence (PK) Vocational School program, part of the merdeka learning program. The aim of this service activity is to strengthen partners' skills in compiling merdeka curriculum teaching modules through several stages: socialization, training, mentoring and evaluation. This devotion was carried out for one week from June 26 to July 3, 2024 offline with 25 teacher participants at State Vocational School 2, Semarang City. The evaluation results show an increase in participants' abilities and skills in compiling Phase F teaching modules according to the existing learning environment.

The increasing sophistication of cyber threats has outpaced the capabilities of traditional detection and response systems, necessitating the adoption of advanced machine learning architectures. This study investigates the application of Transformer-based models in cybersecurity, focusing on their ability to enhance threat detection and response. Leveraging publicly available datasets, including CICIDS 2017 and UNSW-NB15, the research employs a systematic methodology encompassing data preprocessing, model optimization, and comparative performance evaluation. The Transformer model, tailored for cybersecurity, integrates self-attention mechanisms and positional encoding to capture complex dependencies in network traffic data. The experimental results reveal that the proposed model achieves an accuracy of 97.8%, outperforming conventional methods such as Random Forest (92.3%) and deep learning approaches like CNN (94.1%) and LSTM (95.6%). Additionally, the Transformer demonstrates high detection rates across diverse attack types, with rates exceeding 98% for Denial of Service and Brute Force attacks. Attention heatmaps provide valuable insights into feature importance, enhancing the interpretability of the model’s decisions. Scalability tests confirm the model’s ability to handle large datasets efficiently, positioning it as a robust solution for dynamic cybersecurity environments. This research contributes to the field by demonstrating the feasibility and advantages of employing Transformer architectures for complex threat detection tasks. The findings have significant implications for developing scalable, interpretable, and adaptive cybersecurity systems. Future studies should explore lightweight Transformer variants and evaluate the model in operational environments to address practical deployment challenges.

Kendaraan listrik menggunakan sumber tenaga dari energi listrik yang akan diubah menjadi energi kinetik. Sumber energi listrik tersebut disimpan di dalam baterai. Proses pengisian baterai dapat dilakukan dengan menggunakan sumber tenaga dari Panel Surya dan PLN. Berdasarkan analisis hasil pengukuran dapat disimpulkan bahwa (1) pengisian ulang baterai menggunakan Panel Surya dari kondisi minimum hingga maksimum membutuhkan waktu 4 jam 38 menit, dan (2) pengisian ulang baterai menggunakan PLN dari kondisi minimum hingga maksimum membutuhkan waktu 2 jam.

In the rapidly evolving digital era, social media, particularly Instagram, has become a primary platform for visual communication. However, public awareness of the designer's role still needs to be improved. This study explores effective visual communication strategies for enhancing public awareness and understanding of the designer profession through social media campaigns. The methods used include data analysis from questionnaires collected from campaign-exposed audiences and applying descriptive and inferential statistical techniques to assess the relationship between campaign exposure and increased awareness. The study’s results indicate that visual elements, such as color palettes, typography, and narratives' storytelling, significantly influence audience engagement and their understanding of the designer profession. While the campaign successfully captured attention, a communication gap still needs addressing to improve its effectiveness. This research offers critical insights for designers and marketers in crafting more impactful social media campaigns. It underscores the necessity of a targeted approach to elevate public appreciation for the designer profession.

KPRI KOKARNABA Baturraden faces challenges in managing increasingly complex sales data, particularly in identifying the most in-demand products to maximize profit. This study aims to analyze sales patterns using the Naïve Bayes algorithm as a probability-based classification method. The collected sales data were analyzed to identify categories of best-selling and less popular products within the cooperative. The results indicate that the Naïve Bayes algorithm has an accuracy rate of 77.56% in predicting product categories. This research is expected to assist the cooperative in optimizing stock management and improving member satisfaction.