Agruicultural Research Institute

Purpose This study examines how artificial intelligence (AI)-based personalization, the Internet of Things (IoT)-enabled rooms, augmented reality (AR) and virtual reality (VR) experiences, and sustainable smart technologies influence guests' digital well-being, experiential value, and loyalty to smart hotels across Southeast Asia. It also explores the moderating role of digital literacy in shaping these relationships. Design/methodology/approach Data were collected from 552 guests who stayed in smart hotels in Bali (Indonesia), Kuala Lumpur (Malaysia) and Phuket (Thailand). Partial least squares structural equation modeling was used to test the hypothesized relationships among smart hotel technologies, digital well-being, experiential value, loyalty, and digital literacy. Findings The results show that AI personalization, IoT-enabled rooms, AR/VR experiences and sustainable technologies significantly enhance digital well-being. Digital well-being further increases experiential value and intention to reuse smart hotel services. digital literacy strengthens the relationship between digital well-being and reuse intention, demonstrating its importance in shaping positive smart hospitality experiences. Research limitations/implications The study's limitations include a sample skewed toward younger, digitally literate travelers, limiting generalizability to older cohorts. The use of convenience sampling may also introduce bias, and the cross-sectional design restricts causal inference. Differences in smart hotel technology usage, language, and digital literacy across destinations could further influence outcomes. Additionally, reliance on self-reported data raises concerns about common method variance. The model's modest explanatory power for reuse intention suggests that other factors, such as service quality and cultural norms, may play stronger roles. Future research should address these limitations using longitudinal designs and more diverse samples. Practical implications The findings provide guidance for hospitality managers, tourism planners, and technology developers. Designing intuitive, sustainable, and user-friendly smart systems can enhance guests' well-being and loyalty. Social implications The study highlights the social implications of smart hotel technologies by promoting digital well-being, which extends beyond individual benefits to a broader public good. Guests who experience less digital fatigue are more likely to engage in cultural, local, and eco-friendly activities, fostering greater community involvement. For example, AR and AI systems can direct tourists to local markets, cultural tours, and sustainable practices, benefiting host communities. These practices align with SDGs 8 and 12, encouraging responsible consumption and equitable growth. Ultimately, the integration of digital well-being supports a more inclusive and socially responsible tourism ecosystem. Originality/value To the best of the authors' knowledge, this paper presents the first empirical evidence from Southeast Asia demonstrating how smart hotel technologies enhance digital well-being and loyalty through experiential value. By integrating Service-Dominant Logic, the Experience Economy, and Digital Well-Being Theory, a human-centered framework for value co-creation in smart hospitality is advanced.

Learning the scientific kitabah is a challenge for students because needing the writing guidelines. Lecturer a crucial role in improving students' self-efficacy, both in performance and affective aspects. Lecturer can do it with learning using an artificial intelligence website based. This is a useful learning technology and provides time efficiency in learning. The purpose of this study is to assess students' self-efficacy in achieving learning outcomes in scientific literature based on a website application that can reduce excessive anxiety and worry about inability students in learning scientific scriptures. This research method uses a descriptive qualitative quantitative approach in a one-group pretest-posttest design. Instrument research using self-efficacy ability test based on 4 factors and 14 inductions of self-efficacy validated with a likert scale, and then interview guidelines. The result founded self-efficacy average post score test higher compared to with a pre-test score of 4.1>3.4. The correlation between both of 0.272 with a significance of 0.168. The calculated t value is -6.629 with P Value (significance) of 0.000. By setting a significance level of 5%, it shows that the calculated is t value > t table, namely -6.629 > -2.479 with Ha accepted.

يتناول هذا البحث قضية تعريب الرياضات الإلكترونية وأثره على الوعي اللغوي لدى طلاب السنة التحضيرية بجامعة الملك عبد العزيز. انطلق البحث من تساؤل محوري: هل يسهم تعريب الألعاب الإلكترونية في تعزيز الهوية والوعي اللغوي العربي لدى الشباب، أم أنه مجرد جانب شكلي محدود الأثر؟ اعتمدت الدراسة المنهج الوصفي التحليلي من خلال استبانة وُزعت على (120) طالبًا. أظهرت النتائج أن نسبة كبيرة من الطلاب تميل إلى تفضيل اللغة الإنجليزية في الألعاب بسبب قصور جودة التعريب الحالي، إلا أن غالبية المشاركين عبّروا عن استعدادهم لتبني الألعاب المعرّبة في حال توفرت بجودة عالية. كما كشفت النتائج أن التعريب الجيد قادر على تقريب اللغة العربية الفصحى إلى الشباب، وإثراء رصيدهم اللغوي بمصطلحات جديدة في المجالات العسكرية والتقنية والتاريخية، إضافةً إلى تعزيز ارتباطهم بالهوية الثقافية العربية. أوصى البحث بضرورة تطوير جودة التعريب من خلال: اعتماد الفصحى السهلة، تحسين الأداء الصوتي، وضع معاجم موحّدة للمصطلحات التقنية، إشراك اللاعبين في عملية التعريب، وتفعيل البعد الثقافي في النصوص المعرّبة. وخلصت الدراسة إلى أن تعريب الألعاب الإلكترونية ليس مجرد ترجمة، بل مشروع ثقافي ومعرفي يسهم في دعم الهوية اللغوية للأجيال الجديدة.

The management of organic nutrients at farm level is essential for agricultural sustainability and environmental protection, with the main objective of efficiently using the farm's own resources (manure, plant residues etc.) and reducing pollution (especially with nitrates). An efficient management requires an integrated vision at farm level, treating animal manure and plant residuesnot as garbage but as valuable resources for soil fertility. Maximizing the use of nutrients from animal manure and plant residues on the farm (part of the plant-animal cycle) must be achieved in accordance with regulations regarding compliance with legal norms, in particular those of the Nitrates Directive, which impose restrictions on the quantity (max. 170 kg/ha/year organic fertilizers), but also those regarding the period of their application, namely the prohibition of the application of organic fertilizers during periods of vegetative dormancy or when the risk of runoff/leakage is high (for example - on frozen, flooded or snow-covered soil). The study conducted in the development macro regions 1 and 2 was based on the method of questionnaires addressed directly to farmers in the mentioned area who use organic fertilizers (manure, plant residues or sewage sludge) on their farms. From the total number of respondents, 50% mentioned the use of this practice on a regular basis, and 66.7% stated that they have been using this practice for over 10 years, having as their source of manure exclusively their own farm. Another aspect highlighted by the research was that relating to the average amount of organic fertilizer applied per unit area, a dose that ranged between 10 t/ha and 20 t/ha of fermented or semi-fermented manure together with the plant residues of the crops established on the farm.

Collaborative filtering is one of the most used techniques in recommendation systems. This technique generates items by analyzing similarities between users based on their preferences and behavior. When recommending items to users, there is one final step that is crucial, namely, predicting the ratings that users have not yet given to specific items. A technique often used in final rating prediction is Gradient Boosting. This study aims to compare and evaluate the performance of three gradient boosting algorithms, namely LightGBM, XGBoost, and CatBoost. The datasets used are MovieLens 1M and 100K, which have high sparsity levels. Model performance is evaluated using two primary metrics: Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE). The results show that the XGBoost algorithm performs best on all datasets. On MovieLens 100K, XGBoost obtained an RMSE value of 0.9413 and an MAE value of 0.7446, while LightGBM obtained an RMSE value of 0.9427 and an MAE value of 0.7462, and CatBoost obtained an RMSE value of 0.9487. MAE 0.7515. Meanwhile, on the MovieLens 1M dataset, XGBoost achieved an RMSE value of 0.9051 and an MAE of 0.7148, while LightGBM obtained an RMSE value of 0.9124 and an MAE of 0.7215. The CatBoost algorithm achieved an RMSE value of 0.9135 and an MAE of 0.7222. This finding confirms that choosing the correct algorithm can have a significant impact on the performance of recommendation systems.

ABSTRACT Corporate social responsibility (CSR) governance systems played a crucial role in ensuring corporate accountability and facilitating decision‐making that fostered trust and transparency among stakeholders. By embedding sustainability into strategic processes, these systems promoted environmental innovation and reinforced long‐term ecological responsibility and value creation. However, significant knowledge gaps remained regarding the extent to which CSR governance systems influenced environmental innovation. This study addressed these gaps by drawing on the natural‐resource‐based view (NRBV) theory and analyzing data from 267 nonfinancial firms listed on the London Stock Exchange between 2007 and 2024, sourced from the Bloomberg Database. The empirical analysis employed robust econometric techniques, including feasible generalized least squares (FGLS), Driscoll–Kraay standard errors with fixed effects, and a two‐step generalized method of moments (GMM) approach. Findings revealed that CSR governance mechanisms—specifically board gender diversity, the size of the CSR committee, the presence of nonexecutive directors on CSR committees, and the frequency of CSR committee meetings—exerted a significant and positive impact on environmental innovation. The study recommended that corporations institutionalize CSR governance frameworks, particularly through dedicated committees and specialized board structures, to embed sustainability into corporate strategy. Doing so enhanced competitiveness, strengthened reputation, and generated long‐term stakeholder value.

Pendidikan seksual merupakan aspek penting dalam pembentukan karakter dan kesadaran mahasiswa terhadap etika dan tanggung jawab moral dalam kehidupan pribadi dan sosial. Namun, implementasi pendidikan seksual di perguruan tinggi sering kali belum memenuhi kebutuhan beragam mahasiswa yang memiliki latar belakang, pemahaman, dan kebutuhan belajar yang berbeda. Penelitian ini bertujuan untuk menganalisis kebutuhan bahan ajar berdiferensiasi dalam pendidikan seksual bagi mahasiswa, dengan fokus pada diferensiasi kesiapan belajar, minat, gaya belajar, tingkat pemahaman, konten, proses, produk dan lingkungan belajar. Metode penelitian yang digunakan adalah survei kebutuhan yang melibatkan mahasiswa program studi PGMI yang berjumlah 46 orang dengan teknik angket untuk memperoleh data. Hasil menunjukkan bahwa meskipun Sebagian besar mahasiswa telah mempelajari materi tersebut, pemahaman mereka masih berada pada Tingkat yang bervariasi – Sebagian tinggi, Sebagian sedang, dan Sebagian besar rendah. Di sisi lain, mayoritas mahasiswa menunjukkan minat tinggi terhadap tema pendidikan seksual dalam perspektif Islam, namun memiliki preferensi yang beragam terhadap strategi, media dan bentuk tugas pembelajaran. Temuan ini menunjukkan pentingnya pengembangan bahan ajar yang mampu mengakomodasi perbedaan karakteristik mahasiswa melalui pendekatan berdiferensiasi, baik dari segi konten, proses, maupun produk. Dengan demikian, pengembangan bahan ajar berdiferensiasi tidak hanya akan meningkatkan efektivitas pembelajaran, tetapi juga mendorong keterlibatan aktif mahasiswa serta memperkuat pemahaman mereka terhadap nilai-nilai Islam dalam isu-isu seksual secara reflektif, bertanggung jawab, dan aplikatif.

Penelitian ini untuk mendalami strategi guru untuk meningkatkan etika dan integritas siswa dalam menghadapi pemgaruh teknologi diera digital. Kepala sekolah dan instruktur diwawancarai sebagai bagian dari pendekatan studi kasus untuk penelitian kualitatif. Temuan penelitian menunjukkan bahwa dengan menjaga ketertiban dan kedisiplinan siswa, instruktur dapat membantu menumbuhkan lingkungan belajar yang positif dan mengembangkan cita-cita moral dan etika. Namun terdapat kendala seperti kurangnya dukungan orang tua dan akses siswa terhadap penggunaan teknologi yang tidak terkontrol. Peneliian ini diharapkan dapa memberikan pemahaman yang lebih mendalam tentang pentingnya peran guru dalam membentuk karakter siswa diera digital, serta memberikan rekomendasi strategi yang efektif untuk meningkakan etika dan integritas siswa.

This study aimed to develop an efficient protocol for direct somatic embryogenesis (SE) from leaf explants of Caladium bicolor ‘White’ and to assess the impact of different light spectra on ex vitro acclimatization of regenerated plantlets. Leaf segments of C. bicolor were cultured on Murashige and Skoog (MS) medium supplemented with various concentrations of 2,4-dichlorophenoxyacetic acid (2,4-D) (0.5, 1.0, and 1.5 mg L−1) alone or in combination with 1 mg L−1 6-benzyladenine (BA). Leaf cuttings with direct somatic embryos were subcultured on MS medium supplemented with four concentrations of BA (0.5, 1.0, 1.5 and 2.0 mg L−1) for shoot regeneration. Regenerated plantlets of SE were then acclimatized under four light spectra: red (R), blue (B), combined blue-red- (BR), and white (W) fluorescent light. Morphological, physiological, and biochemical traits were evaluated. The highest somatic embryogenesis (31.25%) was observed in the treatment with 1.5 mg/L 2,4-D + 1.0 mg/L BA (T6), compared to just 1.25% in the 0.5 mg/L 2,4-D alone treatment (T1). Organogenesis was significantly enhanced at 2.0 mg/L BA, producing up to 6.33 shoots and 55.33 roots per jar, compared to ~ 2.00 shoots and ~ 1.00 root in the lowest BA treatment. During acclimatization, plantlets grown under blue LED light showed superior vegetative performance with the highest plant height (5.98 cm), leaf number (28.6), and root weight (1.79 g), while white fluorescent light (control) resulted in the poorest outcomes across most traits, including plant height (3.08 cm) and root weight (0.94 g). The study establishes a reproducible SE protocol for C. bicolor and highlights the critical role of blue and red light spectra in enhancing acclimatization. These findings provide a foundational framework for commercial-scale propagation and light optimization strategies in ornamental plant tissue culture.