This study aims to determine the effect of internal motivation and transformational leadership on employee performance with spiritual intelligence as a moderating variable at the Lubuklinggau City Social Service. The background of this study is based on the importance of the role of human resources in achieving organizational goals and the decline in employee work productivity as seen from monthly performance achievement data. This study uses a quantitative approach with an associative method. The sample used was all 31 employees of the Lubuklinggau City Social Service, with a saturated sampling technique. Data were collected through observation, interviews, documentation, and questionnaires with a Likert scale. Data analysis was carried out using SmartPLS 3.0 software. The results of this study are expected to provide empirical evidence that internal motivation and transformational leadership have an effect on employee performance, and spiritual intelligence can moderate this effect. This study also provides theoretical contributions to the development of human resource management science and practical benefits in improving the performance of public organizations.

Perkembangan teknologi informasi telah membawa berbagai inovasi, termasuk aplikasi mobile yang memberikan kemudahan dalam mengakses informasi. Kabupaten Timor Tengah Utara, Nusa Tenggara Timur, memiliki potensi pariwisata yang beragam, namun akses informasi mengenai objek wisata masih terbatas. Penelitian ini bertujuan untuk mengembangkan aplikasi mobile menggunakan Glide Apps untuk merekomendasikan destinasi wisata dengan metode Weighted Product. Aplikasi ini dirancang untuk menawarkan informasi yang lengkap meliputi deskripsi, lokasi, foto, dan ulasan pengguna. Hal ini diharapkan dapat membantu pengguna dalam memilih destinasi wisata sesuai dengan preferensi dan mendukung promosi pariwisata di daerah tersebut.
Kata Kunci : Glide Apps, Aplikasi Mobile, Rekomendasi Pariwisata, Weighted Product

With the exponential growth of social media platforms, vast amounts of data are generated daily, capturing public opinions, sentiments, and trends in real time. Automatic sentiment analysis using Natural Language Processing (NLP) has emerged as an essential tool to process this data, helping industries, researchers, and policymakers understand social sentiment more effectively. This study explores various NLP techniques for sentiment analysis, including machine learning-based, lexicon-based, and deep learning models. By examining advancements in NLP algorithms and challenges related to language diversity, slang, and context in social media data, this paper highlights the strengths and limitations of current methodologies and discusses potential future directions.

Diet is information that defines eating patterns as well as the types of food consumed on a daily basis. Individual health status will be influenced by the use of a healthy diet. Inaccuracy in establishing regular meal routines also adds to imbalanced nutritional intake. The objective of this research is to describe dietary habits of nutritional students in Kepulauan Riau. This study was cross sectional study approach in October – November 2022. The population in this study is nutritional students (17 – 24 years old) in Kepulauan Riau as amount 50 subject. Data collection using a questionnaire by google form. The result of this study showed that the most frequently consumed rice every day (94%), eggs 3-4x/week (40%), tempeh 3-4x/week (40%), spinach 1-2x/week (64%), and bananas consumed 2-3x/day (2%) and 1-2x/week (54%). It can be concluded that the dietary habits of students majoring in nutrition in the Kepulauan Riau is still not diverse. Suggestions for nutrition students to improve their dietary habits by paying attention to the frequency, amount and type of food consumed.

The European Union is the world's largest importer of desiccated coconut products with the six main import destinations being the Netherlands, Germany, the UK, Poland, Belgium and France. Despite ups and downs in the last five years, Indonesia's exports of desiccated coconut products have increased again in 2021. To determine the competitiveness and development potential of dessicated coconut products to six major markets in the European Union, this study used the RCA and EPD methods. The results show that all six countries are highly competitive for Indonesian dessicated coconut exports. France is an optimistic market for export development. Potential markets for export development are the Netherlands, Germany, the UK and Belgium.