Universitas Darwan Ali

Traditional milkfish pond farming represents and importan livelihood source for coastal communities, however, empirical information regarding income level and business efficiency in low input production systems remains limited. This study aimed to analyze productions cost s, revenue, income and economic efficiency of traditional milkfish farming in Sungai Undang village, Seruyan regency. A quantitatif survey approach was applied to 100 farmers selected using snowball sampling during one production cycle in 2025. Date were analyzed descriptively through the calculation of total cost, total revenue, income and the revenue cost ratio (R/C). The results showed an average production 0f 625 kg per cycle, generating an income of IDR 2.950.000 per cycle and an R/C ratio of 1,23, indicating that the business remains financially feasible with moderate efficiency. Most farmers were classified into feasible categories with limited profit margins. This condition is associated with high stocking density combined with reliance on natura feed, and low input fond management, resulting in suboptimal biological productivity but reduced production costs. These findings highlight the role of traditional milkfish farming as a relatively stoble income source for coastal households and emphasize the need for improved simple technical management to enhance production performance and economic and efficiency.

Recent evidence shows that school-based interventions to reduce screen time yield only modest effects, suggesting a need to reconsider how digital behavior change is approached in educational settings. Current programs often emphasize individual restriction, overlooking the broader social and cultural environments that shape children's screen habits. We argue for a shift from "screen time reduction" toward promoting Digital Well-Being Literacy, which entails developing students' capacity for mindful, balanced, and critical digital engagement. This direction aligns with 21st-century education priorities, emphasizing autonomy, digital citizenship, and self-regulation rather than avoidance. Screen use is influenced not only by personal choices but also by family routines, teacher modeling, school digital policies, and community expectations. Therefore, future interventions should adopt ecological, multi-level strategies that integrate school, home, and community contexts. Promoting digital self-regulation rather than restriction offers a more sustainable and developmentally meaningful approach to supporting children's well-being in an increasingly digital world.

Distributed Denial of Service (DDoS) merupakan ancaman serius terhadap layanan jaringan, khususnya pada lingkungan cloud yang bersifat terbuka dan dinamis. Penelitian ini bertujuan untuk mendeteksi serangan DDoS menggunakan algoritma machine learning, yakni Random Forest (RF) dan Support Vector Machine (SVM), serta mengevaluasi pengaruh seleksi fitur menggunakan Correlation-based Feature Selection (CFS) dan Rough Set (RS). Eksperimen dilakukan menggunakan dataset dari Zenodo dengan validasi silang 10-Fold dan evaluasi berbasis metrik accuracy, precision, recall, F1-score, dan kappa. Hasil menunjukkan bahwa model Random Forest secara konsisten memberikan performa terbaik dibandingkan SVM. Skema terbaik yaitu Random Forest dengan seleksi fitur RS menghasilkan nilai accuracy 99.99%, precision 100%, recall 99.99%, F1-score 99.99%, dan kappa score 99.98%, yang menunjukkan efektivitas tinggi dalam mendeteksi serangan DDoS secara akurat dan andal.

Early childhood education in Kotawaringin Timur Regency faces several challenges, particularly in managing facilities and infrastructure. Many kindergartens and playgroups lack adequate resources, such as interactive classrooms and outdoor play areas, which limits children’s creativity and exploration. This condition requires teachers to be innovative in utilizing limited resources to create meaningful learning experiences. To address these issues, a community service program was conducted to enhance teachers’ knowledge and skills in optimizing school facilities to support sustainable learning. The program emphasized strategies for maximizing limited resources, fostering collaboration with parents, using social media, and integrating horticulture into the learning environment. Interactive training methods were employed, including presentations, discussions, and hands-on practice. A total of 94 participants from 47 educational institutions joined the program, recruited through collaboration with Himpaudi Kotim, IGRA, and PKG Markisa. The results showed that teachers gained new insights into maximizing existing facilities, strengthening parent communication via Instagram and WhatsApp, and applying horticulture as an engaging learning medium. The discussions also highlighted the relevance of these strategies to school quality improvement, including accreditation. In conclusion, this program provided practical solutions for optimizing educational facilities, supporting inclusive and Adiwiyata-oriented schools, and fostering stronger collaboration between schools, parents, and technology to achieve sustainable education.

This study aims to analyze the influence of self-leadership, workplace well-being, and career development on employee engagement in the service industry. The service sector faces significant challenges in maintaining employee engagement due to the nature of the work, which demands excellent service and intensive human interaction. In this context, self-leadership is considered crucial in encouraging individual initiative and responsibility, workplace well-being plays a role in maintaining working conditions that support mental and physical health, while career development provides motivational support for employees to achieve their long-term goals. This research uses a quantitative approach with a survey method involving 100 respondents working in the service sector. The data were analyzed using multiple linear regression to examine both the simultaneous and partial effects of the three independent variables on employee engagement. The results show that all three independent variables significantly influence employee engagement, both partially and simultaneously. Self-leadership demonstrated the strongest influence, followed by workplace well-being and career development. These findings imply that improving employee engagement in the service industry can be achieved by enhancing personal leadership capabilities, creating a work environment that supports well-being, and providing clear and sustainable career development paths. This study contributes to the development of employee engagement theory in the service sector and serves as a reference for human resource managers in designing effective engagement strategies.

This study explores retail investor behavior in the context of dividend events by testing three interrelated hypotheses: the dividend-herding hypothesis , the neglected firm hypothesis , and the divided attention hypothesis . Utilizing the Google Search Volume Index (SVI) as an innovative proxy for measuring retail investor attention, the study analyzes 642 dividend events in the Indonesian stock market. The empirical findings support all three hypotheses. First, retail investors demonstrate limited attention to dividend-paying stocks, despite extensive evidence of positive price reactions, suggesting a herding pattern driven by inattention. Second, dividend announcements serve as attention-grabbing events that increase visibility for previously overlooked or neglected firms. Third, when multiple companies announce dividends on the same trading day, retail investor attention becomes fragmented, resulting in reduced focus on individual stocks. These findings offer new insights into behavioral finance in emerging markets and highlight the importance of investor attention in understanding market reactions to corporate events.

Mangrove ecosystems play a significant role in carbon sequestration. However, the accumulation of organic matter in mangrove sediments undergoes decomposition, which triggers the release of CH₄ gas flux. This study aims to analyze the CH₄ gas flux in the mangrove sediments of Negeri Passo, Inner Ambon Bay. Gas sampling was conducted using a cylindrical chamber at three observation stations. Gas was collected using a syringe five times at 30-second intervals. The gas concentration was analyzed using gas chromatography, while the CH₄ flux was calculated using a flux equation that considers the regression slope, chamber volume and area, temperature, gas molecular weight, ideal gas constant (R), and time constant based on the gas sampling interval. The results showed that the average CH₄ concentration was 22.46 ppm. The highest concentration was found at Station 2, with 33.33 ppm, and the lowest at Station 3, with 14.40 ppm. The average CH₄ flux was 3.2194 mg/m²/h. The highest CH₄ flux was observed at Station 3, with 4.8727 mg/m²/h, while the lowest was at Station 1, with 1.3421 mg/m²/h. Based on these findings, it can be concluded that the mangrove ecosystem in Negeri Passo has a relatively higher CH₄ flux compared to other locations within the Inner Ambon Bay area. Additionally, the significant carbon sequestration potential, as indicated by the Tier 1 model approach, suggests that this mangrove ecosystem plays a crucial role in climate change mitigation. These findings highlight the dual role of the mangrove ecosystem in Negeri Passo, acting as both a carbon sink and a source of CH₄ emissions, emphasizing the need for further research to balance its sequestration potential with methane release dynamics.

Latar Belakang : Kesehatan reproduksi merupakan salah satu aspek penting yang peru diperhatikan dalam remaja yang sering terjadi sindrom pramenstruasi, kram menstruasi, dan gangguan menstruasi, jika tidak dikelola dengan baik dapat menyebabkan masalah kesehatan seksual dan reproduksi (Amalia Ilmy Nurul et al.,2023). Beberapa faktor yang mempengaruhi gangguan siklus menstruasi meliputi asupan fitoestrogen, tingkat aktivitas fisik, dan tingkat stres (Fifi Ishak et al.,2022). Tujuan : Mengetahui hubungan tingkat stres dengan siklus menstruasi pada remaja putri kelas XI di SMA Negeri 3 Sampit tahun 2024. Metode Penelitian : Penelitian ini menggunakan metode kuantitatif yang bersifat analitik dengan pendekatan cross sectional. Pengambilan sampel dengan teknik random sampling. Sampel penelitian ini berjumlah 59 orang siswi kelas XI di SMA Negeri 3 Sampit tahun 2024. Metode analisis yang digunakan adalah uji statistik dengan menggunakan uji fisher’s exact test. Hasil : berdasarkan uji fisher’s exact test menunjukan bahwa nilai signifikan ρ value ≤ 0,05 yaitu 0,014 yang berarti ada hubungan tingkat stres dengan siklus menstruasi pada remaja putri kelas XI di SMA Negeri 3 Sampit tahun 2024. Simpulan : Ada hubungan signifikan antara tingkat stres dengan siklus menstruasi pada remaja putri kelas XI di SMA Negeri 3 Sampit tahun 2024.