Perkembangan digitalisasi menjadikan teknologi informasi sebagai elemen penting bagi organisasi dalam menghadapi dinamika bisnis yang kompleks. Evoluz adalah sistem manajemen tugas dan pelaporan yang bertujuan untuk mempermudah alur kerja internal dan meningkatkan layanan pelanggan. Penelitian ini mengevaluasi sistem Evoluz menggunakan kerangka ITIL V.3, khususnya domain Service Design, untuk mengidentifikasi kelebihan dan kekurangan serta memberikan rekomendasi perbaikan. Metode yang digunakan adalah pendekatan kualitatif terstruktur melalui survei, wawancara, dan analisis dokumentasi. Hasil penelitian menunjukkan bahwa meskipun Evoluz efektif dalam manajemen tugas, ditemukan beberapa kesenjangan pada komponen ITIL seperti Service Catalogue Management dan Service Level Management. Sebanyak 25% SLA tidak tercapai, dan katalog layanan belum komprehensif. Rekomendasi perbaikan meliputi pembaruan katalog layanan, otomatisasi pemantauan SLA, serta peningkatan kapasitas dengan migrasi ke cloud.

Penggunaan teknologi informasi dan komunikasi yang semakin masif di kalangan generasi muda, khususnya siswa SMK, menuntut pemahaman yang mendalam tentang regulasi yang berlaku. Penelitian ini bertujuan untuk meningkatkan kesadaran hukum siswa SMK N 1 Kisaran terkait Undang-Undang Informasi dan Transaksi Elektronik (UU ITE) sebagai bekal memasuki lingkungan perguruan tinggi. Kegiatan sosialisasi dilakukan melalui penyampaian materi, diskusi, dan tanya jawab. Hasil penelitian menunjukkan adanya peningkatan pemahaman siswa mengenai ketentuan UU ITE, terutama terkait etika berinternet, hak cipta, dan pencegahan tindak pidana siber. Diharapkan, sosialisasi ini dapat membentuk karakter siswa yang bijak dalam memanfaatkan teknologi dan meminimalisir pelanggaran hukum di kemudian hari.

The rapid advancement of digital technology has transformed the landscape of language learning, particularly in the post-pandemic era where self-directed learning through mobile applications and online platforms is increasingly common. This study explores the effectiveness of two popular digital tools LuvLingua and YouTube in supporting independent Japanese language learning among Indonesian university students. LuvLingua offers a structured, gamified approach suitable for beginners, while YouTube provides authentic and contextual exposure through real-life content. Using a descriptive quantitative method, this research involved twelve students from non-language majors who actively use both platforms to study Japanese. The findings reveal that each platform has distinct advantages: LuvLingua excels in foundational vocabulary and pronunciation, whereas YouTube significantly enhances listening skills and cultural understanding. The combination of both platforms yields optimal learning outcomes, although success heavily depends on learners’ motivation, discipline, and time management. This study contributes to the growing body of research on technology-assisted language learning and provides practical recommendations for learners, educators, and content developers.

This article discusses the implementation of negotiation strategies and lobbying techniques as participatory communication approaches in the context of community service in Parigi Village, Cikande Sub-district, Serang City. Through intensive community organizing, this activity aims to strengthen the capacity of residents in facing the challenges of cross-interest communication and collaboration, especially in terms of policy advocacy and local resource management. The service subjects consisted of local community groups who had been less involved in the decision-making process at the village level. The service process is carried out through several stages, starting from joint problem mapping, training in negotiation and lobbying techniques, to the preparation of collaborative action plans that involve active participation of residents. The findings from this activity show that interest-based negotiation and ethical lobbying can strengthen the community's bargaining position towards external actors such as the government and local stakeholders. The dynamics of the activity also resulted in initial social changes, such as the formation of an internal advocacy group, increased participation in public forums, and the emergence of collective awareness of the importance of strategic communication.

Student achievement is not only determined by cognitive abilities, but also by non-cognitive factors that influence the student's learning process. In this case, emotional intelligence, self-efficacy, and learning motivation are important aspects that deserve attention. This study examines the influence of emotional intelligence, self-efficacy, and learning motivation on the achievement of Jambi University students. Quantitative research was conducted using Google Forms survey data from 360 students, which was determined by G-Power analysis. Data were analyzed using PLS-SEM. A significant relationship was found between the factors. Academic achievement is strongly influenced by emotional intelligence and self-efficacy (p < 0.05). In addition, emotional intelligence and self-efficacy increase learning motivation and academic achievement (p < 0.05). Academic achievement is moderately influenced by learning motivation. These findings emphasize the relevance of emotional intelligence, self-efficacy, and motivation for student success. These three factors significantly influence student academic success. Emotional intelligence helps students manage emotions and build positive social relationships. Self-efficacy encourages students' self-confidence in completing tasks. Learning motivation is the main driver that increases students' commitment to learning. The novelty of this research lies in the integration of emotional intelligence, self-efficacy, and motivation which are studied holistically to understand their influence on student achievement and the direct and indirect influence of emotional intelligence, self-efficacy, and learning motivation on academic achievement among students. 

In recent years, technological developments and paradigm shifts in the world of education and research demand a transformation in the management system of research and community service. The Institute for Research and Community Service (LPPM) of Universitas Negeri Semarang (UNNES) in its role of realising the responsibility of the Tri Dharma of Higher Education, has made a breakthrough in the field of research and community service through an application called SIPP (Research and Community Service Management Information System) which can be accessed on the website. However, there are still five obstacles that need to be improved. This research intends to identify concrete problems faced by Universitas Negeri Semarang in this regard, and design solutions that can increase the effectiveness of the research and community service management system. The results showed that the development of an Artificial Intelligence (AI)-based Recommendation System has become one of the most effective strategies in enhancing user experience in improving the effectiveness of the research and community service management system at Semarang State University. By utilising AI technology, the SIPP application can optimise the data management process, identify research trends, and facilitate collaboration between researchers. 

Pemahaman konsep mahasiswa di perguruan tinggi dalam memahami materi gelombang bunyi merupakan salah satu aspek krusial dalam studi fisika. Dengan pemahaman konsep dasar yang berbeda-beda, dapat menyebabkan kesalahan konsep. Untuk mengetahui pemahaman konsep, maka dari itu dilakukan pengembangan instrumen tes diagnostik yang akurat dan efektif. Penelitian ini bertujuan untuk (1) mengetahui karakteristik instrumen tes yang dikembangkan (2) mengetahui kualitas instrumes tes yang dikembangkan (3) mengidentifikasi pemahaman konsep pada materi gelombang bunyi. Jenis penelitian adalah Research & Development (R&D) model 4D dengan pengumpulan data melalui kuisioner dan angket yang diberikan kepada mahasiswa fisika dasar 2. Instrumen tes yang dikembangkan berjumlah 15 soal yang terdiri dari pilihan ganda tiga tingkat. Hasil uji validitas ahli terhadap instrumen tes diagnostik yang dikembangkan sebesar 89,21% sehingga memiliki kriteria sangat layak. Hasil uji skala kecil menunjukkan bahwa instrumen tes diagnostik yang dikembangkan terdapat 13 valid dan reliabel. Tingkat kesukaran soal menunjukkan 2 soal masuk kategori mudah, 12 soal masuk kategori sedang, dan 1 soal masuk kategori sukar. Hasil daya pembeda dari uji skala kecil menunjukkan 2 soal masuk kategori buruk, 5 soal masuk kategori cukup, dan 8 soal masuk kategori baik. Identifikasi pemahaman konsep dari uji skala kecil menunjukkan hasil rata-rata tingkat pemahaman konsep 32,32%, tidak paham konsep 39,65%, dan mengalami miskonsepsi 27,02%. Mahasiswa paham konsep tertinggi pada indikator ke-1 sebesar 69,70% dengan sub konsep intensitas dan taraf intensitas bunyi serta mahasiswa tidak paham konsep tertinggi pada indikator ke-13 dan 14 sebesar 66,67% pada sub konsep intensitas dan taraf intensitas bunyi. Dilihat dari proses kognitif memahami, indikator mencontohkan memiliki pemahaman konsep lebih baik dengan kriteria sedang dan indikator membandingkan memiliki pemahaman konsep dengan kriteria sangat rendah. 

Dairy cattle are ruminant livestock that produce milk whose productivity is very dependent on maintenance management. This community service activity aims to increase the knowledge and skills of dairy farmers in Raraa Village, East Kolaka Regency. This activity was carried out in several stages, including: 1) Socialization of dairy cattle development; 2. Demonstration on the maintenance and feeding of dairy cows; 3. Monitoring and Evaluation. During the socialization activities, the breeders were very enthusiastic in listening and active in the discussion because the breeders in Raraa Village were just getting to know and starting to raise dairy cows. Farmers are also very focused on paying attention to explanations and technical guidance on the maintenance, management and feeding of dairy cows during direct visits to the breeder's pen. At the end of the activity, an evaluation was carried out to determine the level of understanding of dairy farmers. Monitoring and assistance to farmers is also carried out to help farmers who experience difficulties in the process of caring for and feeding dairy cows. This activity can increase the knowledge and skills of dairy farmers so that farmers can maintain and develop dairy cattle in accordance with the government's goal of distributing dairy cattle seeds in the Southeast Sulawesi region

Hotel booking cancellations pose significant challenges to the hospitality industry, affecting revenue management, demand forecasting, and operational efficiency. This study explores the application of machine learning techniques to predict hotel booking cancellations, leveraging structured data derived from hotel management systems. Various classification algorithms, including Random Forest, XGBoost, and LightGBM were evaluated to identify the most effective predictive model. The findings reveal that XGBoost model outperforms other models, achieving F2-score of 0.7897. Key influencing factors include deposit type, total number of special requests, and marketing segment. The results underscore the potential of predictive modeling in optimizing hotel revenue strategies by enabling proactive measures such as dynamic pricing, targeted customer engagement, and improved overbooking policies. This study contributes to the ongoing advancements in data-driven decision-making within the hospitality industry, offering insights into how machine learning can mitigate financial risks associated with booking cancellations.

The IoT (Internet of Things) and Digital Transformation - Skill For All (SFA) training for vocational school teachers in Kulon Progo is an information technology training program. The SFA training addresses the skills gap by offering knowledge and skills necessary to work with IoT devices using IoT Kits from the Network Technology and Application lab, which is evolving in the digital transformation era. This training provides a solid foundation for managing IoT devices, which are highly relevant to today's industry needs. Configuring, managing, and programming IoT devices is essential in the digital age. By participating in this training, vocational school teachers in Kulon Progo can acquire practical skills directly applicable to their curriculum, helping students understand IoT concepts more deeply and practically. The IoT (Internet of Things) and Digital Transformation - Skill For All (SFA) training is designed to provide a comprehensive understanding of networking basics and how to configure and manage IoT Kits devices